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Towards Seamless Integration: Exploring Cross-Reality for Extending Physical Office Workspaces
(2026)
Immersive systems, like Augmented and Virtual Reality, offer new paradigms fordigital interaction, but confining users to a single reality often presents drawbacksfor complex tasks. Cross-Reality systems, which integrate multiple realities into asingle experience, have significant potential to enhance existing professional workflows by combining the unique strengths of physical and virtual environments. Thisdissertation investigates how Cross-Reality can enhance professional workflows byusing the traditional office as a primary use case, focusing on the central question:How can CR enhance existing workflows in physical settings by extendingthe physical environment with virtual content and environments?To address this, the dissertation presents a body of empirical work structuredaround isolating and investigating one core design challenge for each of the threeprimary types of Cross-Reality systems. The work first addresses transitionalCross-Reality systems, which allow users to switch between different realities, byexamining how to design effective transitions. It demonstrates that in task-drivenscenarios, users prioritize efficient transitions that minimize cognitive disruptionover more elaborate or interactive ones. Next, the dissertation tackles the fundamental problem of unwanted occlusion in Augmented Virtuality, a form of substitutional Cross-Reality systems, which integrate objects from one reality intoanother. It introduces and evaluates technical strategies to ensure physical toolsremain accessible within virtual spaces, revealing a critical trade-off between theefficacy of these solutions and user experience factors like cybersickness. Finally,the research explores multi-user Cross-Reality systems that enable collaborationbetween multiple users who may be experiencing different degrees of virtualitysimultaneously, and the complexities of enabling collaboration across multiplestages, underscoring the unique challenges of supporting shared awareness andmanaging asymmetric roles.These findings are grounded by a detailed analysis of the underlying hardware, which highlights how technical and perceptual issues inherent to VideoSee-Through and Optical See-Through Head-Mounted Displays directly impactthe feasibility and design of Cross-Reality systems. The overarching contributionof this dissertation is to provide a set of empirically-grounded design principlesfor applying Cross-Reality in productivity-focused environments. By shifting thedesign focus from entertainment to pragmatic qualities, this work offers valuableinsights into creating Cross-Reality systems that genuinely enhance workflows, prioritizing efficiency, usability, and seamless interaction while navigating technical
This thesis presents four contributions in the domains of schema/ontology alignment and query processing. First, we present a novel alignment approach, denoted as FiLiPo (Finding Linkage Points), to align the schema of RDF knowledge bases with the response schema of RESTful Web APIs. FiLiPo only requires knowledge about a knowledge base (e.g., class names) but no prior knowledge about the
Web APIs’ data structure. It uses fifteen different string similarity metrics to find an alignment between the schema of a knowledge base and that of aWeb API.
Next, a benchmark system named ETARA (Evaluation Toolkit for API and RDF Alignment) is introduced that was created with the goal to simulate RESTful Web APIs and is able to cover all important characteristics of Web APIs, i.e., latency, timeouts, rate limits and, furthermore, provides configurable response structures (e.g., JSON or XML). Additionally, it was designed to support researchers during
the development of alignment systems.
Afterward, the alignments determined by FiLiPo are used to create a hybrid and federated query processor named TunA (Tunable Query Optimizer forWeb APIs and User Preferences), which allows SPARQL queries combining knowledge bases and RESTful Web APIs and is tunable towards user preferences, i.e., coverage, reliability and execution time. The primary goal of TunA is to return a query result that satisfies the user’s preferences in terms of data quality, even when using unreliable data sources by performing a majority vote over multiple sources.
Lastly, we present a federated query processor, denoted as ORAQL (Overlap and Reliability Aware Query Processing Layer), which uses overlap information to reduce the number of selected sources that are available in a federation. The goal is to reduce redundant data and, hence, improve the query execution speed. Therefore, ORAQL uses a profile feature that provides information about the overlap between all data sources of a federation. Furthermore, we extend the quality estimation of TunA to cover Triple Pattern Fragment interfaces to ensure a user-provided reliability goal.
This thesis serves as proof of concept for the tensile strength simulation-based nonwoven material design. Objective is the adjustment of the parameters of an underlying production process with regard to a desired tensile strength behavior (optimization). As an example, we focus on the nonwoven airlay production and consider a thermobonding procedure for the consolidation of the nonwoven fabrics.
To be able to map production parameters to the associated tensile strength behavior, we present a model-simulation framework composed of a model for the nonwoven fiber structure generation and a model for the nonwovens’ mechanical behavior under vertical load. The model for the fiber structure generation replicates the stochastic fiber lay-down of the airlay production and results in a random three-dimensional fiber web. This web is consolidated using a virtual bonding procedure that mimics the thermobonding of the nonwoven material. The topology of the resulting adhered fiber structure can be described by a graph, which serves as basis for the subsequent tensile strength simulation. The model used for this purpose describes the mechanical behavior of the material at fiber network level. Therefore, the considered fiber structure sample is interpreted as truss and the fiber connections are equipped with a nonlinear material law, which allows to describe the elastic phase of the nonwovens’ tensile strength behavior. The existence and uniqueness of a solution to the model as well as its numerical treatment are discussed. Moreover, we present data reduction strategies that enable more efficient simulations by removing fiber structure parts that do not contribute to the tensile strength behavior.
As it becomes evident from the numerical experiments, a single tensile strength simulation for a production-like virtual sample is already computational demanding. Costs accumulate further, since Monte-Carlo simulations are required to account for the randomness in the fiber structure generation. Thus, direct simulations provide an infeasible basis for the nonwoven material design. This motivates the use of a predictive surrogate for optimization. Therefore, we consider regression-based approaches at different levels of information within the simulation framework. It turns out that the coupling of a polynomial model, for the fiber structure feature inference, with a linear one, for the stress-strain curve inference, yields accurate predictions. Once trained, the regression models allow for efficient evaluations and thus represent a suitable surrogate for the nonwoven material design. In this context, we discuss two exemplary problems of interest for the application: First, a tracking-type problem that aims to find the production parameters that result in a desired tensile strength behavior, expressed in terms of stress-strain curves. Second, an in-corridor maximization problem, which aims to identify the production parameters that maximize the probability of ending up in a specified stress-strain corridor.
Price indices play a vital role in economic measurement as they reflect price levels
and measure price fluctuations. Price level measures are used with macroeconomic
indicators to express them in real terms. These measures are also used to index wages,
rents, and pensions. Furthermore, they are used as a reference for monetary policy
conducted by central banks. Therefore, the provision of accurate price indices is one
of the most important goals of National Statistical Institutes (NSIs), and numerous
studies have been devoted to this goal.
This cumulative dissertation also contributes to this goal. It contains four chapters,
each of which represents a separate research. The first two studies are devoted to
the treatment of seasonal products by using different price index methods. The first
research is co-authored with Ken van Loon. The third research is dedicated to finding
the most accurate method to make price predictions for missing products. The fourth
research is focused on the treatment of products by using different price index methods
when products’ quality characteristics are available.
The article discusses “SimStab” [Simulator of Stability], a poetic performance by a young Russian poet, Rostislav Amelin, as an effective hybrid of the innovative poetry, video game, and the cyberpunk genre models. The interaction of these components produces strong, yet not necessarily obvious political over-tones, testing the limits of the audience’s (or readers’, or players’) agency. Like many other cyberpunk texts, “SimStab” explores the conflict between the desire to resist colonization by the pervasive powers dominating contemporary society, and the absolute necessity of willingly colonizing your own body and subjectivity with the products of these powers. Both the poem, game and their shared text embody spaces of utopia reliant on repressed sites of formless abjection, which paradoxically become a source of anarchic freedom. Thus, in “SimStab” the ludic algorithmic with its procedural rhetoric (Ian Bogost) creates spaces of formlessness which repeats the liberatory promise of cyberpunk literature.
The Orbita multimedia and poetry collective, based in Riga, Latvia, has succeeded in making poetry written in Russian an integral part of the Latvian cultural and literary scene, despite the burden borne by Russian language and culture in this society as a result of still unsettled and contested histories of Russian and Soviet imperial domination and cultural imperialism. The article explains this achievement as resulting from the Orbita collective’s practices of “performative translation,” which make translation a highly visible and central element of various forms of artistic activity, including multimedia installations, book publishing, video poetry, public performance, proper, and more. In traditional cultural configurations, translation is thought to transfer the essential features or the spirit of a text from one literary language to another in a manner that makes possible the translation’s readers’ sense of unmediated contact with the original. Such a conception of translation supports the monolingual paradigm – the cultural ideology of separate and distinct national languages – and the political actualities to which it corresponds. Orbita’s practices of performative translation, in contrast, create a multilingual heterotopia in which the actuality of translation as mediation is rendered visible, the boundedness and distinctiveness of national literary languages is undermined, and the social necessity and ubiquity of acts of translation is brought to the fore.
The target of this essay is to open possible pathways to approach the phenomenon of a self-remodeling of classicist poetry in the 20th and early 21st century by focusing on the process from two different angles rarely perceived as related to each other: first, the remodeling of Chinese lyrical classicism through a strand of modern American poetry harking back to Ezra Pound and currently crystallized in the translations of David Hinton and, second, the transition that modern Chinese poetry written in classical language and conforming to prosodic rules of classical style poetry, sometimes referred to as “old style poetry” jiu ti shi, underwent after its rebirth as “unofficial” poetry online since the beginning of this century. Although there are obviously no direct links between the aforementioned tradition of modern American poetry and neoclassicist cyberpoets like Zeng Shaoli I argue that in both cases the classicist inspiration and poetic drive is motivated by concern with the increasing imbalance between natural, social, and individual resources, on the one hand, and an indomitable desire to accumulate economic and political power on the other. A permanent devaluation of language in the human realm, matched by a permanent devaluation of currencies in the economic sphere, provokes poetic responses in the very interest of humanity. The neoclassicist lyricisms that I draw into comparison display both subtle distinctions and common traits in this response to the starkly different environments of their respective contemporary literary scenes.
This article considers the evolution of poetic performance on the basis of several Russian poets of the 2010s. The type of performance in question, which originally implied active absorption in the poetic text, occupied an important place in Russian art of the twentieth century – from the first experiments of the historical avant-garde to Moscow Conceptualism (above all, in the their “Collective Actions”). As such, it has always maintained a closeness to the poetic work and was most often practiced by poets who sought to extend their texts beyond the space of the page and into the “external” world. In the 2010s, however, with the development of social media, the opposite trend is noticeable – poets, while declaring their connection to the performative traditions of Moscow Conceptualism, transfer their performative activity into a textual space organized by social media platforms. The central hypothesis of this article is that all of these poets react differently to the methods of discursive organization provided (and enforced) by social networks and strive in different ways to liberate themselves from the censorship of the algorithm: some emphasize the discursive incoherence of the platform, while others, on the contrary, seek to develop a sustainable manner of uniting private discourses into a new totality.
Preliminary Note
(2024)
This volume brings together contributions addressing the intersections of political poetry, performativity, and the internet. The essays are based on presentations given at workshops and conferences organized by the DFG Centre for Advanced Studies “Russian-Language Poetry in Transition: Poetic Forms of Dealing with Boundaries of Genre, Language, Culture and Society between Europe, Asia and America” (2017-2023). The conferences took place in 2018-2019, at a time when neither the coronavirus pandemic nor Russia’s brutal invasion of Ukraine were foreseeable, and the contributions have not been updated in light of these catastrophes. The articles presented here deal with recent poetry and focus on the connection between politics, performativity, and the internet in multiple literatures and intercultural relations. Although the majority of these texts belong to the Russophone world, poetry from Serbia, Latvia, and China is also considered. The contributors demonstrate, on the one hand, how newer poetry softens genre distinctions and formally tends towards multimedia hybridization and, on the other, how it transcends or dissolves linguistic, cultural, and social boundaries. Dr. Ekaterina Friedrichs and Ms. Lena Rosalin Schwarz were involved in preparing this publication for printing. We would like to thank them both for their careful review and wonderful cooperation.
The essay compares Inger Christensen’s (1935-2009) poetry and poetics with the work of the Swedish writer Birgitta Trotzig (1929-2011). It tests the potential of comparison by asking what happens if we compare what might be the two most prominent women writers of Nordic post-war modernism, two writers whose paths have crossed over the years. The first half of the paper traces a shared constellation of motifs (eye/butterfly/death) within two books of poetry, Trotzig’s “Anima” (1982) and Christensen’s “Sommerfugledalen” (1991). The initial comparison of motifs leads to a shared poetics. It offers a trotzig’ian version of Inger Christensen’s version of the condition of secrecy and fundamental parallels in their philosophy of language and the subject. But it also points to a major difference between the real as a mystic category in Trotzig and Inger Christensen’s more seamless, lucid, and dreamlike style. Advancing further into a stylistic comparison the linguistic and visionary abundancy of Trotzig’s “Anima”-poems reveals an overlooked quality in Christensen’s: That Christensen’s poems are also luxurious, albeit, typically, with moderation. The balancing of sense and sensibility appears by comparison to be a key trait in her poetry, highlighting its classical inclination. The paper demonstrates how comparison makes its subject visible by way of the other, and how comparison points out new nuances or flavors in the texts as it opens a conversation between two major women writers of Nordic modernism.
Departing from Roland Barthes’ association of text and textile, and feminist theory on weaving as text production, this article analyzes the textile qualities of Inger Christensen’s “Letter in April” (1979) and Amalie Smith’s “Thread Ripper” (2020). In “Letter in April”, Christensen establishes a connection between writing and spinning or weaving through their shared temporality of varied repetition. In “Thread Ripper” Smith alludes to Christensen and makes of the continuity between text and textile not only the main theme of the book, but also its structuring principle. Through a materialist conception of the text, regarding it as a woven fabric, the article focuses on the textual patterns of the two works (stylistic figures in Christensen, graphic composition in Smith). The connection from Christensen to Smith leads to a further connection to ecocritical conceptions of weaving as no less than a cosmological principle. On a concluding note, the article argues that weaving is not only connecting, but also disconnecting, cutting.
This essay discusses the relationship between Inger Christensen’s work and contemporary Danish eco-literature. Christensen can seem like a towering predecessor. Yet, the relationship is more complex than a question of anxiety of influence. This essay argues that Christensen and contemporary Danish literature exhibit differing ecological imaginaries, and that this becomes clear when one examines Christensen’s utopian writing, her heliocentric utopianism, of the late seventies and early eighties, and when one examines how ecological threats are depicted in her work. For Christensen, the paradigmatic threat to the world is the nuclear bomb and its excessive use of energy, for today’s literature it is the feedback loops of pollution, exemplified in the threat of climate change.
This article discusses the high regard for Danish poet Inger Christensen in Germany and her connection to the Künstlerhaus [Artists’ Residence] in Edenkoben, located in Rhineland-Palatinate. The Künstlerhaus serves as a cultural institution where international artists from various fields can reside and collaborate. Inger Christensen had strong connections with the Künstlerhaus Edenkoben and participated in its German-Danish poetry project. During her visits to Edenkoben, she wrote several poems. In an essay, the poet described Edenkoben’s landscape as paradise-like. This article, on the one hand, examines these texts in the context of Inger Christensen’s stay in Edenkoben. On the other, it sheds light on “Weg der Gedichte”, a project that stages Inger Christensen’s poem “Erinnerung an Edenkoben” in a public space around the Künstlerhaus, showcasing the role of poetry in rural settings and its ability to enhance the experience of nature and hiking.
Shortly after Ukraine had declared its independence in December 1991, Joseph Brodsky, Nobel Prize Winner in Literature 1987, wrote the poem «На независимость Украины» [On the Independence of Ukraine], which sarcastically mourns the separation of Russia and Ukraine. In 2015, responding to the armed conflict in Ukraine, teacher and poet Aleksandr Byvshev issued a reply to this poem under the same title, taking the side of Ukraine. Both poems have been perceived as aggressive, insulting, and anti-Ukrainian or anti-Russian, respectively. This paper asks the question of whether – and in what sense – the two poems are aggressive by drawing on the linguistic features of the two texts. The investigation of the linguistic characteristics of the poems is supplemented by an analysis inspired by argumentation theory, since, as will be shown, both texts are essentially argumentative.
This article examines “China” in contemporary American poetry using the example of Timothy Yu’s poems, titled “Chinese Silence,” which rewrite and / or parody texts from the American literary canon as well as public communication. It proposes a hall-of-mirrors reading of these poems in order to show how Yu’s poems refer to, reflect on, and relocate other authors’ writing of “China.” It argues that Yu’s poems, instead of making claims for an authentic “China,” attempt to bring Chinese Americans’ lived experience into the American literary tradition.
This study will examine two different types of poetry that can be broadly classified as “political” in an attempt to reach an understanding of the interaction between politics and poetry in modern Japan. The first sampling of poetry will be taken from the Internet and will be amateur verse belonging to such traditional genres of poetry as haiku / senryū and tanka that can be classified as agitprop poetry. The second more substantive sampling will be taken from “professional” poets and will mainly fall into the shi (free verse) category. I will also discuss various literary critics and also thinkers on aesthetics from both Japan and the West to further elucidate the relationship between poetry and politics, to elaborate a broad definition of the political domain appropriate to Japanese verse, and also to investigate the issue of how to read and evaluate poetry as literary art. The study will be divided into five parts: first, the introduction outlining and probing the issues under discussion, next, an examination of Japanese agitprop poetry drawn from the Internet, then a brief interregnum on (literary) theory focusing on two theoreticians, Yoshimoto Takaaki (1924–2012) from Japan and Jonathan Culler (b. 1944) from the West, followed by an investigation of contemporary free verse political poetry, specifically the verse of Minashita Kiryū (b. 1970), Misumi Mizuki (b. 1981), Yotsumoto Yasuhiro (b. 1959), and Arai Takako (b. 1996).
Tactile Communism: Keti Chukhrov’s Post-Soviet Dramatic Works and the Legacy of Soviet Defectology
(2023)
In this article, I analyze the character of hyper-naturalism and exaggerated tactility in dramatic poems by contemporary Russian-Georgian philosopher and writer Keti Chukhrov. I argue that, while descriptions of violence, physiological functions, and abject poverty are common for post-Soviet art, in Chukhrov’s work these elements perform radically different task than in the pessimistic and de-ideologized chernukha, or the style of grim realism. Her approach to matter is also distinct from the historic Russian avant-garde tradition, which relished intensified sensations but did not offer constructive ways of inscribing their immediacy into coherent cultural continuity. Instead, her dramatic poems bear pedagogical, even rehabilitative stakes for recuperating the individual sensations of alienated people into meaningful and shared cultural experiences. In this article, I discuss her approach to drama as mobilizing the tradition of Soviet Marxist defectology, a special educational method of socializing disabled, cognitively impaired, or otherwise disadvantaged people. Pioneered in the Soviet Union in the 1920s by Lev Vygotsky and suppressed in the 1930s, defectology found further application in the 1960s and 1970s in the work of the Zagorsk boarding school for the deafblind, led by Vygotsky’s student Alexander Mescheriakov and Evald Ilyenkov, a Marxist-Hegelian philosopher who is a central figure for Chukhrov’s philosophical research. One of the key tasks of Meshcheriakov and Ilyenkov was to help their deafblind students to overcome isolation through learning to translate their purely tactile sensations into deliberate communicative acts. While Zagorsk offered Ilyenkov an opportunity to test and apply his theory of the collectivist formation of personality, for Chukhrov it is theater that has become the sphere for experimental, practical extension of her scholarly research into Soviet Marxist thought and socialist culture of the 1960s and 1970s. Her dramatic texts offer models of alternative subjectivization for post-Soviet people to allow themselves once again to recognize the presence of universal values and greater cultural commons behind individual, alienated sensations and experiences.
On 27 June 2020, the prominent feminist poet Galina Rymbu published the poem «Моя вагина» (“My Vagina”) on her Facebook feed. «Моя вагина» is a solidarity poem, written in support of artist and LGBTQ activist Iuliia Tsvetkova, who is facing a charge of distributing pornography for her abstract paintings of vaginas in a group on the social media platform VKontakte. Rymbu’s poem created huge resonance: it was shared, translated and republished on various platforms on the web and in print, examined by researchers, and debated as both a work of literature and a political statement. The present article charts the story of this remarkable poem, from its origins to its formal properties, its place within contemporary feminist poetry and its close links to feminist activism, and the reactions it has triggered. It also analyses the follow-up poem Rymbu wrote in reply to her detractors, «Великая русская литература» (“Great Russian Literature”), with a focus on Rymbu’s ingenious play on personal pronouns. Finally, it will briefly look at the role of social media for the literary process in Russia, specifically the field of poetry.
Russian feminist poetry has flourished in the post-Soviet period, especially the last decade. It has provided inspiring modes of resistance to all forms of indifference to bodily harms, particularly the harms to women. That poetry is studied here through the lens of feminist theory. The essay argues that a wide range of such theories finds resonance in these poems, and it introduces several key poets: Galina Rymbu, Oksana Vasiakina, Lida Yusupova, Elena Fanailova, and Mariia Stepanova, with a coda on Konstantin Shavlovskii.
The article analyzes three modernist novels, Louis-Ferdinand Céline’s “Death on Credit,” Samuel Beckett’s “The Unnamable,” and Paul Auster’s “4321”. The texts examined manifest radical discursive changes that are connected with epistemological and ontological conceptions of mind and being. Modern conceptions of being are seen as being based on the non-concepts of exaiphnes, the timeless instant, as developed by Parmenides, sunyata as defined in Buddhist thought, and the indeterminacy of particles as discovered by quantum physics. The idea of being as a state of infinite potentiality impacts the discourse and the form of the modern novel as it moves in the direction of formlessness, thus mirroring the non-substantiality of the human subject. The narrators of the three novels speak at a breathless pace that punctuates and disrupts the narrative and that inserts death as the agent of the negation of meaning.
On the “Flowing Movement” and the “Lofty and Ancient” in Gary Snyder’s Poetry Gary Snyder, a renowned 20th century American poet, has been strongly influenced by Eastern cultures, especially Chinese. The philosophical spirit of Eastern culture and its intuitive way of thinking have taken root in Snyder’s mind and directly shaped his perception of nature. Hence, in view of the inadequacy of Western literary criticism in interpreting the Eastern dimensions of Snyder’s poetry, this article takes the classical Chinese literary theory “Twenty-Four Styles of Poetry” as its theoretical perspective and uses its categories of “Flowing Movement” and “Lofty and Ancient” to explore how the dissolved or solitary poetic self achieves the mental state of “emptiness” (kong in Chinese Taoism and sunyata in the Buddhist sense) and creates the poetic worlds of the “flowing movement” and the “lofty and ancient” (transcendence) in Snyder’s poems.
There are astonishingly numerous and profound influences of the Pre-Socratics – especially Herakleitos and Zenon – on Russian literature between realism and the avant-garde of the 1920s. The focus here is on the concepts of Herakleitos’ “panta rhei” and his pre-dialectical thinking in polarities. From there, a bridge can be built to Leo Tolstoy’s narrative technique of the “stream of consciousness” and his speculations on time and history in the context of his novel “War and Peace.” The Russian novelist was particularly fascinated by Zenon’s time paradox (Achilles and the Tortoise). Furthermore, this contribution is concerned with Herakleitos’ model of circulations and dualities in the mytho-poetics of Russian Symbolism around 1900 (Viacheslav Ivanov, Andrey Bely, Konstantin Balmont) and, above all, with Russian poetry of the absurd (Daniil Kharms, Aleksander Vvedenskii) and the concepts of nothingness, of infinity in the context on this side of the categories of space and time (“cisfinite poetry”), and with the spirit of the time paradox of Zenon.
This article aims to reconstruct the reception of pre-Socratic philosophy, especially that of Parmenides, in Russian modernism and avant-garde literature. In doing so, it places this reception into two contexts: the contemporary discussion of pre-Socratic ideas in Russian, European and American philosophy, on the one hand, and the proclamation of a third, a Russian and/or Slavic Renaissance, on the other. This Renaissance has been conceived as the intense discussion and reconsideration of ideas, notions, and expressions of ancient Greek thinking. It aimed also to avoid the reduction of Greek philosophy to Plato, as had been practiced by the Russian Orthodox Church and largely pushed through in Russian culture. One of the main points of this reconsideration concerned the quest of the relation between the word, the process of thinking, and human life, while another one connected with it involved the (re-)establishment of a close bond between the poetic word, its meaning, and its sense. The integration of this productive discussion with pre-Socratic Greek philosophy enriches and improves our knowledge of Russian modernism and avant- garde literature.
The claim that a thinker concerned with the development of a totalizing metaphysical system can be a literary philosopher may seem hard to justify. For Arthur Schopenhauer, the entire world is the representation or appearance of the will to life, the metaphysical essence of all being. And yet, because this will must always appear and always take form, it is only formally that we can grasp it, only in concrete instances. For this reason, the poet “shows us how the will behaves under the influence of motives and reflection. He presents us this for the most part in the most perfect of its appearances” (WWRII, 310). In this paper, I will argue that Schopenhauer founds a philosophical approach which comes to rest on literary foundations and which alights at key moments on the strength of his literary as well as his philosophical forebears. I will do this by means of looking at how Schopenhauer treats the concept of fate. It is my contention that the fatalism inherent in Schopenhauer’s ethics is a direct result of a fundamentally literary approach to the concept. This enables us to conceive of fate from a literary and not solely from a metaphysical standpoint. I will begin by outlining the place of the literary in Schopenhauer’s philosophy, including a brief account of those writers whose work he incorporates into his analysis, and then I will demonstrate its relation to his fatalism.
Pastoral serves as a keyword when understanding Seamus Heaney’s literary production, both in terms of stylistic features and imagery. Although critical attention has focused on the connection between his pastoral works and contemporary Irish politics, the growth of ecocritical scholarship in the last few decades has made evident the importance of broadening such an analytical scope to relationships between humans and the environment while studying this genre. In this alignment, the present essay offers an ecocritical reading of some selected pastoral poems by Heaney, with a specific focus on his revival of the eclogue through the collection “Electric Light” (2001). Precisely, the poems “Virgil: Eclogue IX,” “Bann Valley Eclogue,” and “Glanmore Eclogue” will be read through the innovative perspective offered by the recent engagement of affect theory with ecocriticism: by doing so, I argue that Heaney’s poems can be understood as valuable nature narratives that stress the connectedness between the human and the nonhuman, while resonating with the urgencies posed by the current environmental crisis to re-think more ethical forms of relationships between them. Furthermore, through the lens of econarratology, attention will be paid to the ecological potentials expressed by the formal features of the eclogue: this observation considers, on the one hand, the notion of ‘relationality’ within the practice of the shepherds’ dialogue/singing and, on the other hand, how this literary form stresses the attachment between the human and the environment, both in the real world and in the storyworld. Hence, when exceeding a strictly politically oriented critical analysis of his work, Heaney’s eclogues become visible as compelling ecocritical accounts that favor investigating the role of (pastoral) literature in fostering critical discussions about human/nonhuman ethics as a way to respond to the challenges of the Anthropocene.
The concept of art is a lens through which one can explore the thought of Nicho las of Cusa. He uses this notion throughout his work in order to address the pro ductive dynamism of the divine mind as well as the human mind. With a focus on the human arts as likenesses of the divine art, this paper studies the relationship between the art of the word and the illiterate manual arts. Firstly, we examine the ars coniecturalis as a human art form that Cusanus presents for the first time in extenso in “De coniecturis”. Secondly, we address the power of the art of the word through the production of its most precious form, the spoken word. Thirdly, and finally, we inquire into the power of the manual arts through the example of the idiota’s making of wooden spoons in the “De mente” in order to show the relationship between this art and the art of the word.
In the last chapter of “De coniecturis”, Cusanus exhorts his friend, Cardinal Giuli ano Cesarini, to get to know himself. This classical philosophical topic is revisited by Cusanus here in an original manner. On the one hand, Cusanus’ perspective reveals the strong influence of Proclus, which deserves to be highlighted. On the other, unlike Proclus, Cusanus asserts that self-knowledge is explicitly linked to the topic of the human being as created ad imaginem and that of the world as the sphere of contraction. Cusanus bases both subjective matters on the triune princi ple. According to him, the Divine Trinity is the exemplar that cannot be reached by an image, and the effort to reach the Trinity constitutes the basic requirement for the conjectural construction of the self. Furthermore, the fact that this under standing of the Trinity implies a distinction in itself makes the Trinity the princi ple of all difference or otherness in plurality. Cusanus concludes that the image can only be constructed relationally, that it is not possible to attain God without a fundamental knowledge of the self as an image, and that no one knows his own self without knowing others at the same time.
This paper explores the presence of the poetic word in contemporary urban settings: from “Poetry in Motion,” displayed in the New York City subway at the very place where one usually finds ads, to fluid xenon light projections of huge verse on the exterior of buildings in Basel or Zurich by visual artist Jenny Holzer, who presents poems of the Nobel Laureate Wisława Szymborska together with her own short “Truisms.” Or from single poems permanently written on walls – e.g. a much-discussed concrete poem by Eugen Gomringer at the facade of a Berlin college of education – to the technically enhanced spoken word, audible from far away as a side effect of gigantic poetry slam events in stadiums, e.g. the Trabrennbahn (race-course) in Hamburg and even performative events such as Ulrike Almut Sandig’s „augenpost“ in which poems are ‘published’ on posters, flyers and free postcards in the urban space of Leipzig or declaimed on public squares in Indian metropolises through a megaphone. Such presentations of poetry in urban space are still uncommon, thus creating an aesthetic experience that differs strongly from reception in private settings or even in readings or public poetry festivals, as the poem relates to its urban surroundings.
This essay applies a Cultural Studies-approach to the multi-facetted relationship between poetry and advertisement as it emerged in the first half of the 20th century in the United States and as it became visible on billboards by the roadside. Somewhat paradoxically, public poetry in advertising appeared all across the United States (predominantly along highways in rural areas) around the time that much of modernist American poetry was being declared a highly elitist and urban centric affair in the orbit of new criticism-scholarship at universities. My first case study addresses the iconic Burma-Shave Billboard Poetry Campaign (1929-1963) and its long-lasting influence on American (popular) culture – in literature, music, visual art. Prior to this campaign as well as on the heels of it, billboards and billboard poetry were taken up to a minor extent in poetry circles and literary criticism (where they continued to be mostly viewed with disdain) and to a larger extent by conceptual artists who used billboard aesthetics, slogans, and short (poetic) texts in installations mimicking and critiquing consumer culture. One of the most aesthetically innovative recent ‘returns’ of billboard poetry, however, is the one employed intra-diegetically in the Hollywood film “Three Billboards Outside of Ebbing, Missouri” (2017), my second case study. Here, the writing on the billboard-walls make those aspects explicit that have been submerged in the earlier rhymes by the roadside: While the playful, optimistic lines of advertisement imply, time and again, a happy white middle-class American family with a sober and well-shaved patriarch behind the wheel and thus gloss over the disavowed underside of mobility, the film makes the latent manifest and points to systemic / structural violence, such as a pervasive American rape ‘culture’ which is linked to the car and the mobility it offers. The film uses the billboard and its inscription as foil and as catalyst to address and to protest this and other forms of violence and thus presents an activist intervention in order to ask for more than merely poetic justice.
In this article, I analyze the most recent Russian video poetry as an amplification and semantic enrichment of the classic literature paradigm. My thesis is that new visual poetry produces a subtle, polysemous – but at the same time striking – political message within a synthetic artistic framework. I show how recent Russian social (also to be called political) poetry is developing what I call the aesthetics of environmental non-division. I focus on the art collective “The Group of Esfir’ Shub,” which was founded in 2017 by the artist and designer Polina Zaslavskaia. The group’s synthetic method of working with poems generates a “tropic connection between the text and the video,” which correlates or even confronts direct and figurative sign meanings of different media with each other. “Esfir’ Shub” emphasizes one of the essential features of new social poetry ‒ the problematization of corporeality as a phenomenon belonging to organic, living material, which affects the very character of subjectivity. The project “Esfir’ Shub” is situated on the border between visual eco-art and social poetry. What is more important, it represents new trends in Russian engaged aesthetics, which I call biopoetics ‒ a notion which has been intensely discussed in the last two decades.
This essay identifies a shared response to news media in poetry written over the past three decades by writers working in Chinese, Russian, and English. These poets often directly incorporate texts and images from news media into their work. Some scholars have argued that this tendency towards the collaging of texts derived from news and social media reflects a shift in poetic subjectivity. However, when seen from a comparative perspective, these and other cut-ups of news and social media are better understood as, on the one hand, an extension of a much longer tradition of literary and artistic responses to the news and, on the other, a renewal of that tradition in response to the intensification of the intertwined pressures of new media and globalization since the end of the Cold War and the rise of the Internet. The article identifies this shared response to media and globalization among a variety of examples in Chinese, Russian, and English, including Kirill Medvedev’s «Текст, посвященный трагическим событиям 11 сентября в Нью-Йорке» (“Text Devoted to the Tragic Events of September 11 in New York”); Stanislav Lvovsky’s «Чужими словами» (“In Other Words”); Dmitri Prigov’s «По материалам прессы» (“Based on Material from the Press”) and “ru.sofob (50 x 50)”; Lin Yaode’s 林燿德 “Er erba” 《二二八》(“February 28”), Hsia Yü 夏宇 and her collaborators’ group project “Huadiao huadiao huadiao” 《劃掉劃掉劃掉》 (“Cross It Out, Cross It Out, Cross It Out”), Yan Jun’s 顏峻 2003 multi-media video performance “Fan dui yiqie you zuzhi de qipian” 《反对一切有组织的欺骗》 (“Against All Organized Deception”); online video poetry produced in response to the 2008 Sichuan earthquake; and Brian Kim Stefans’s mashup of “New York Times” articles with texts from the Situationist International. On the one hand, these texts operate between various media and art forms: between poetry and contemporary art, music, journalism, and social media, between the print newspaper and digital file, between the webpage and live performance, and between image and text. But on the other hand, and inextricably, they also operate within global information networks. They are better understood as addressing not the transformation of the poetic subject but the undoing of the boundaries of poetry and of the concept of a nationally defined literature.
In the article, I will discuss the relationship between ‘book poetry’ and ‘digital poetry.’ I examine the differences, as well as the similarities, between poetry as presented in these two media. Research on the transition from book poetry to digital poetry has mainly focussed on the significant changes in genre and work concepts as well as in the author and reader roles. However, several trends within the tradition of poetry have intensified and have further developed since the emergence of the digital media. The focus in this paper will thus be on four key features, which were founded in book poetry as far back as early Modernism and the avant-garde movements, but, to a great extent, those features have unfolded in digital poetry. The four features are the multimodality, the montage form, the network structure, and the serial form. The artistic opportunities offered by digital poetry are not only due to technological opportunities in the new media. Such opportunities are just as much due to the innovations in multimodality, montages, network structures, and seriality realized by avant-garde and symbolist poets like Mallarmé, Apollinaire, Schwitters, Eliot, and Pound in early modernism. My article concludes with an example of how the four features form the basis for a work of digital poetry, namely Johannes Heldén’s “The Primary Directive” (2008).
The article offers a preliminary investigation of the phenomenon of female-authored ‘poetry theater’ (shige juchang)1 in the People’s Republic of China. It discusses cross-genre explorations by a group of female poets, theater directors and artists who are all associated with the movement of ‘women’s poetry’ (nüxing shige) that emerged in the 1980s in China. The discussion focuses on two performances based on female-authored poems, “Riding a Roller Coaster Flying Toward the Future” (2011) and “Roaming the Fuchun Mountains with Huang Gongwang” (2016), which resulted from the joint efforts of four women: the poet Zhai Yongming, the poet-scholar Zhou Zan, and the theater directors Cao Kefei and Chen Si’an. Their avant-garde experiments with poetical theater document the different ways in which poetry is being translated into images, sounds, or bodily movements on stage. The paper argues that poetic exploration of writing and reciting practices has gained new momentum from emerging intermedial, visual-verbal experiments. Furthermore, it claims that interest in ‘poetry theater’ is also driven by the search for new forms of cross-genre stage performances that could be different from the previously politicized or commercialized ones.
This paper is focused on a relatively new phenomenon: joint performances by poets and avant-garde (primarily electronic) musicians in contemporary Russia. In part, these performances are reminiscent of performances by American and Western European poets with jazz ensembles in the 1960s and 1970s. At that time in the Soviet Union, this practice was almost unheard of: when intermedial experiments did take place, poets – particularly the so-called “official” poets – turned not to music but to theatre. The most important elements of these performances were their emphases on virtuosic improvisation, the theatrical immediacy of what was taking place, and creating a community around the performer. In contrast, contemporary collaborations between poets and musicians largely demonstrate the non-self-sufficiency of their respective media and, in doing so, deconstruct the. very premise of the poetic (lyric) subject. My contention is that intermediality as such – in this case, the interaction between music and poetry – could thus be the most important tool available for creating a “poetry without a subject.” Moreover, in practice, it has acquired a salient social and political meaning in modern Russia: depicting culture as a space of individualized dialogues and polylogues.
Starting from the imperative to not just read, but to speak lyric poems out loud, this paper considers ways in which poems change depending on who utters them. Beyond the familiar distinction between the poem’s author and the lyrical ‘I’ – the voice in which the poet chooses to utter the poem – any performer who speaks a poem also impersonates the text. Reading is the first act of interpretation; others follow. Sound is an indispensable constitutive aspect of the lyric poem, too often neglected. Each reading of a poem can turn into a momentary ec-stasis.
This contribution analyses two complex examples of the generic extension of lyric poetry in recent British literature. Tony Harrison’s film poem “The Shadow of Hiroshima” (1995) expands the lyric text into the visual dimension; Glyn Maxwell’s collection “The Sugar Mile” (2005) arranges a large number of individual lyric poems into a dramatic scenario. In both cases the generic transition is coupled with a further generic extension – the elaboration of a distinctly narrative sequentiality. In two important aspects the generic extension of these examples affects the rendering of a particular experience, namely the perception of and reaction to massive violence and destruction. One aspect concerns the organization of speech situation and perspective, especially the relation between a superordinate authorial voice and possible subordinate voices, the other aspect pertains to the status of the represented experience in the ambiguity between factuality and fictionality, characteristic of the stance of the lyric utterance in various periods throughout the history of poetry. In both respects the generic expansion in Harrison’s “The Shadow of Hiroshima” and in Maxwell‘s “The Sugar Mile” can be shown to utilize the representational potentials of lyric poetry in distinctly alternative directions.
A new genre has emerged in contemporary literature: the ‘novel in poems.’ This genre hybridizes the novel and poetry in order to construct characters and a plot through relatively autonomous poems in series. The ‘novel in poems’ appears in different subtypes, which can be categorized according to the following criteria: (1) the presence of one speaker versus several speakers, (2) the presence of a speaker as lyric protagonist and/or narrator, and (3) the presence of a blend of distinct modes of lyric, narrative, and dramatic representation in various forms of combination. Specific characteristics of the ‘novel in poems’ are: 1) variation of constituent poetic forms with different degrees of semantic autonomy and brevity; 2) hyper-structuring through symmetries, holism, and equivalences; 3) a tendency to differentiate mediating instances within the text; 4) the reduction or elimination of the narrator or of narrative principles and the use of an omnipresent textual subject; 5) the presence of metapoetic reflections on topics such as poetry and creativity; 6) an emphasis on voice, person, and subjectivity; 7) episodic plot construction through montage techniques and a tendency toward chronological order; 8) the predominance of present speech and action; 9) contradictions between the speaker as subject and addresser, via the lyric fiction of performativity, and the function of narration; 10) a necessity imposed upon the reader to reconstruct the plot and characters. This essay establishes three subtypes within the proposed genre: a lyric ‘novel in poems’ with one speaker (Irina Ermakova), a polyphonically narrative ‘novel in poems’ that combines third-person narration with several alterior speakers (Lana Hechtman Ayers), and, finally, a dramatic ‘novel in poems’ with shifting primary speakers (Glyn Maxwell).
The work of Japanese-German writer Yoko Tawada (Tawada Yōko) stands out as an example of ‘in-between’ writing. Instead of simply ‘translating’ Japanese into German and vice versa, Tawada blends both languages and cultures, often self-reflexively. As a result, poetic in-between spaces emerge, in which creative work, cultural translation, and social criticism can take place. The texts also construct in-between spaces on a formal level. For instance, the verse novels “Kasa no shitai to watashi no tsuma” (『傘の死体とわたしの妻』, 2006) and “Ein Balkonplatz für flüchtige Abende” (2016) feature both narrative progression and poetic devices (vivid imagery, association, and wordplay), defying categorization either as volumes of poetry or as novels. In addition, the in-between space of genres becomes visible in Tawada’s self-translations, which often amount to rewritings and lead to a change in genre – travel essay to novella, novel to drama, or poem to prose text. An example of this genre-transcending bilingualism as entryway to an in-between space are the texts „Die Orangerie“ (1997) and “Orenji-en nite” (「オレンジ園にて」, 1997/1998), which initially appear as a poem and its (apparently) prose translation. However, a number of textual peculiarities of both pieces point to the mutual influences between versions. Thus, I read all four examples as hybrid forms of poetry, which perform the mixing of genres, languages, and cultures that occurs in today’s world. In their cultural hybridity especially, the poems point to underlying social issues of homo- and xenophobia.
More than any other literary form, contemporary poetry is in transition: interspersed with narrative and dramatic genres, combining prose and verse, and even incorporating other media, such as visual arts, music, film, and digital technology. It shifts the borders between public and private spheres, aesthetic and discursive approaches, and producer and recipient. On the basis of case studies, this issue addresses the challenges of poetry in transition and stimulates new approaches in lyric theory and methodology.
Transnational protest movements continue to expose the enduring legacies of colonial exploitation and institutionalised racism within and beyond European cities. They foreground the systemic conditions under which Black lives are rendered disproportionately vulnerable to premature death. In doing so, they expose the enduring entanglements of racial capitalism, state violence and spatial exclusion. Through their ongoing political agitation these movements highlight the need for spatio-temporally situated and relationally embedded engagements with Black urban lives. My thesis responds to that call by examining place-making practices of enclosure and refusal throughout Black London’s post-World War II development.
Grounded in the ethnographic narrative of “being halfway while shooting”, I explore how Black lives are enclosed by institutional racism, how this enclosure is spatialised and how Black and differently racialised Londoners refuse these spatial enclosures through everyday and collective place-making practices. At the intersection of structural constraint and the desire to enact Black freedom in London, I specifically foreground the emergence of fugitive place-making practices.
Conceptually, I bring (critical) urban geography scholarship, Black studies and Black (British)Geographies scholarship into conversation. I develop “being halfway while shooting” as a relational concept that foregrounds the production of racialised urban knowledges, the multiplicity of Black enclosures, and the plurality of place-based strategies committed to refusal. I do so by stressing the relevance of Black fugitive thinking to account for the ongoing refusals that mark the relationship between Blackness and the British city. Methodologically, I adopt a research-activist ethnographic approach, grounded in my long-term engagement with a housing campaign in East London that organises around the housing needs of London’s racialised and gendered urban poor. Using qualitative methods - archival research, interviews, (non-)participant observations, document and media analysis - I embed contemporary struggles into long and ongoing histories of racial-capitalist urban development as well as Black and multi-ethnic refusal.
The empirical chapters trace place-making practices of enclosure and refusal across London’s post-World War II urban development. By examining the aftermath of urban revolts and changing urban welfare regimes, I explore how racialised urban governance has been historically materialised in and through the city. At the same time, I foreground how within this racialised construction of the British city, Black and differently racialised Londoners continue to hold open the possibility of refusal through places in which communal care and self-determination can be enacted. I then turn to the struggle over housing in East London, showing how contemporary processes of racialised dehumanisation and ongoing displacement are both historically rooted and actively contested. In the final empirical chapter I accentuate the relevance of these findings for German-speaking critical urban geography debates.
The research shows that racial capitalist urbanism reproduces enclosures through practices of value extraction, spatial displacement, and the policing of Black subjectivities. In response, Black and differently racialised Londoners engage in fugitive place-making. Rooted in communal care, political organisation, collective education and cultural affirmation, these practices reassert Black presence and belonging. They offer an enduring mode of place-based refusal and the ongoing possibility to stay in the city differently. These findings not only demonstrate the academic significance of my research but also underscore the urgent need to support the place-making practices of Black and differently racialised urban communities, who continue to refuse the racialised enclosure of the British city from within.
From these empirical insights, I propose the concept of a fugitive sense of place - a theoretical lens that accounts for the racialised reproduction of urban space and the transformative place-making practices of those who refuse its logics. Rather than offering prescriptive policy recommendations, I call for a reorientation of urban geographical enquiry by centring Black spatial practices, knowledges and imaginations. Through the lens of “being halfway while shooting”, I argue for a rethinking of human habitation and urban theory through the lived experiences of Black survival and refusal. Attending to a fugitive sense of place, I propose new avenues for human geography research to explore how fugitive place-making practices reshape the meanings, conditions, and possibilities of urban life.
Income composition can have a significant impact on workers’ well-being, productivity, and career paths. Wages often include a variety of components, such as unconditional bonuses, profit-sharing payments, and incentives based on the individual performance of employees. Each of these may influence employee labour outcomes differently and the worker composition may matter for managers when designing the salary package. Simultaneously, workers’ employment choices and well-being are influenced by income outside the job, such as inheritances and lottery winnings, as well as by external factors like technological change. This dissertation includes five empirical studies that investigate these issues, yielding new insights on the role of monetary gifts, financial incentives, labour market institutions, and technology disruptions in affecting employees’ labour and well-being outcomes.
The role of implicit motives for affective, cognitive and behavioral processes has been a focal part of psychological research for decades. Yet, the majority of research in this field has been concentrated on processes involving implicit motives in adulthood. The systematic investigation of developmental correlates of implicit motives remains largely uncharted. The studies cumulated in this thesis aim to add to the sparse research on implicit motives in childhood and adolescence. Specifically, the development of the implicit power motive in the transition of middle to late childhood as a function of parenting behavior (Chapter 4), the predictive value of the implicit achievement motive for objective swimming performance in children and adolescents (Chapter 5) and the role of motive congruence for successful goal realization in adolescent samples across two cultures (Chapter 6) were investigated. Results of Study 1 (Chapter 4) indicate a negative longitudinal association of authoritarian parenting with the implicit power motive in children that is moderated by children’s perception of psychologically controlling parenting. Study 2 (Chapter 5) extends existing research on the assumed positive association of the implicit achievement motive and sports performance and demonstrates the moderating role of competitive anxiety on this association. Finally, Study 3 (Chapter 6) illustrates a moderating effect of implicit motives on the association of goal commitment and successful goal realization in German and Zambian adolescents, however, this effect was only observed in the domain of power motivation. Findings from all three studies are discussed in the context of the significance of implicit motives for psychological research.
Many developed countries, including Germany, face a steady rise in the share of
individuals obtaining higher education. While rising education itself bears a series
of advantages as extensively studied in previous literature, it is also conceptually
linked to a higher likelihood of working in an occupation that does not match
one’s formal qualifications. Previous studies have predominantly evaluated
how demographic or job‐related aspects correlate with the likelihood of being
educationally ﴾mis﴿matched. However, they have largely ignored institutional
facets of the educational system or industrial organization. Moreover, little is
known about how private wealth affects educational mismatch or whether job
satisfaction is homogenously affected among individuals once such a mismatch
occurs. The five projects collected in this thesis aim to answer these open
questions in the literature for Germany, using data from the Socio‐Economic Panel
and employing different time intervals between 1984 and 2022.
Beginning with the educational system in early childhood, Chapter 2 evaluates
the impact of school‐starting age on the likelihood of over‐ and undereducation.
It exploits the exogenous variation in school‐entry rules across federal states
and years in Germany with regression discontinuity designs. The results report
a negative impact of school‐starting age on the likelihood of undereducation,
but no systematic relationship with overeducation.
Subsequently, Chapter 3 explores the variation in education costs by leveraging
the quasi‐experimental setting induced by the time‐limited introduction of tuition
fees in several German federal states between 2006 and 2014. The increase
in education costs among treated graduates results in a significantly higher
likelihood of overeducation, which endures even several years post‐graduation.
Chapter 4 focuses on the industrial relations system and examines the
correlation between trade union membership and the likelihood and extent of
educational ﴾mis﴿match. The results reveal that trade union members report
significantly less overeducation at both the intensive and extensive margin
and also a higher likelihood of being matched compared to non‐members. Furthermore, the heterogeneity analysis provides evidence that this correlation
is driven by improved bargaining power instead of informational advantages.
Chapter 5 focuses on private wealth as a determinant of educational mismatch
by investigating the impact of a wealth shock through inheritances, lottery
winnings or gifts on the likelihood of over‐ and undereducation. Due to
the diminishing marginal returns of wages with increasing windfall gains the
likelihood of undereducation is expected to decrease, while that of overeducation
is expected to increase. Empirically, these suppositions are supported for
overeducation, as its likelihood increases significantly after the windfall gain.
Further analyses reveal that this effect is driven by individuals switching
occupations while increasing their leisure time, and it materializes only for
medium to large windfall gains.
Contrary to the previous chapters, Chapter 6 focuses on educational mismatch,
more precisely on overeducation, as the independent variable. In particular, it
investigates the correlation between overeducation and job satisfaction. The
results align with the previously established negative correlation for private sector
employees exclusively. In contrast, interaction and subsample analyses reveal a
positive correlation for public sector employees. This link is driven by individuals
with a high degree of altruistic motivation and family orientation.
This dissertation examines how individuals unlock their personal power by investigating individual differences in self-regulation, in particular, how situational conditions interact with the personality dispositions of action versus state orientation. Action-oriented individuals are well able to regulate their affective states and to bridge the intention–behavior gap, showing initiative, implementing demanding intentions, and resisting temptations. State-oriented individuals, by contrast, often struggle to regulate affect and experience difficulties enacting intentions, especially under demanding conditions, tending to hesitate and ruminate. While extensive research has highlighted the advantages of action orientation across various domains such as education and health, this thesis challenges the prevailing one-sided perspective that presents action orientation as inherently superior and frames state orientation negatively. Drawing on Personality Systems Interactions theory, the dissertation adopts a dynamic view that understands these dispositions as context-sensitive rather than fixed. The central assumption is that action and state orientation each require different kinds of situational conditions to fully unlock their potential. Across six empirical studies (overall N = 1,067) using a multimethod approach that combines experimental and survey-based research in diverse populations and contextual settings, this dissertation examines (1) action and state orientation as distinct dispositions, (2) their dynamic interaction with situational factors, and (3) ways to support each in mobilizing personal power. Overall, the findings show that each disposition offers unique advantages - they simply require different situational conditions for their potential to unfold.
Measuring the economic activity of a country requires high-quality data of businesses. In the case of Germany, this is not only required at national level, but also at federal state level and for different economic sectors. Important sources for high-quality business data are the business register and, among others, also 14 business surveys which are conducted by the Federal Statistical Office of Germany. However, the quality requirements of the Federal Statistical Office are in contrast to the interests of the businesses themselves. For them, answering to a survey's questionnaire is an additional cost factor, also known as response burden. A high response burden should be avoided, since it can have a negative impact on the quality of the businesses' responses to the surveys. Therefore, sample coordination can be used as a method to control the distribution of response burden while securing high-quality data.
When applying already existing business survey coordination systems, developed by different statistical institutes, legal and administrative standards of German official statistics have to be taken into account. These standards consider different sampling fractions, rotation fractions, periodicity, and stratification of the aforementioned 14 business surveys. Therefore, the aim of this doctoral thesis is to check the existing business survey coordination systems for their applicability in the context of German official statistics and, if necessary, to modify them accordingly. These modifications include the introduction of individual burden indicators which aim to take the individual perception of response burden into account.
For this purpose, several synthetic data sets have been created to test the application of the modified versions of the different business survey coordination systems through Monte Carlo simulation studies. These data sets include a large panel data set, reflecting the landscape of businesses in Rhineland-Palatinate and three smaller, synthetic data sets. The latter have been created with the help of the R package BuSuCo which has been developed within the scope of this thesis. The above mentioned simulation studies are evaluated based on different measures for estimation quality as well as for the concentration and distribution of response burden.
Bilevel problems are optimization problems for which parts of the variables
are constrained to be an optimal solution to another nested optimization
problem. This structure renders bilevel problems particularly well-suited for
modeling hierarchical decision-making processes. They are widely applicable
in areas such as energy markets, transportation systems, security planning,
and pricing. However, the hierarchical nature of these problems also makes
them inherently challenging to solve, both in theory and in practice.
In this thesis, we study different nonlinear problem settings for the
nested optimization problem. First, we focus on nonlinear but convex bilevel
problems with purely integer variables. We propose a solution algorithm that
uses a branch-and-cut framework with tailored cutting planes. We prove
correctness and finite termination of the method under suitable assumptions
and put it into context of existing literature. Moreover, we provide an
extensive numerical study to showcase the applicability of our method and
we compare it to the state-of-the-art approach for a less general setting on
suitable instances from the literature. Furthermore, we discuss challenges that
arise when we try to generalize our approach to the mixed-integer setting.
Next, we study mixed-integer bilevel problems for which the nested
problem has a nonconvex and quadratic objective function, linear constraints,
and continuous variables. We state and prove a complexity-theoretical hardness result for this
problem class and develop a lower and upper bounding scheme to solve
these problems. We prove correctness and finite termination of the proposed
method under suitable assumptions and test its applicability in a numerical
study.
Finally, we consider bilevel problems with continuous variables, where
the nested problem has a convex-quadratic objective function and linear
constraints. We reformulate them as single-level optimization problems using
necessary and sufficient optimality conditions for the nested problem. Then,
we explore the family of so-called P-split reformulations for this single-level
problem and test their applicability in a preliminary numerical study.
Extracellular enzymes in microbial communities play a central role in nutrient cycling and the degradation of (pollutant) substances in various natural and anthropogenic systems. Bound in aquatic biofilms, sludge aggregates, or even unbound at their interfaces, they are of great importance for both the environment and human health. In particular, in wastewater treatment plants and inland waters, hydrolytic activities influence the wide-reaching efficiency of nutrient removal and self-purification, thus contributing significantly to overall water quality.
The main goal of this dissertation project was to investigate the factors that influence enzymatic activity and the health of microbial communities in activated sludge and river systems, particularly in relation to anthropogenic influences and natural environmental conditions. The aim was to contribute to a better understanding of the sensitivity of our freshwater ecosystems and to support the long-term preservation of water quality and ecological stability. The development and optimization of appropriate methods, as well as their testing and applicability, were the focal points.
For this purpose, a fluorometric microplate assay was developed and adapted to determine both extracellular enzyme activities (EEAs) in activated sludge samples and in intact biofilms. Its suitability for field studies was subsequently tested. Inhibition and activity of selected hydrolases under different conditions were investigated to better understand the mechanisms and potential environmental risks posed by anthropogenic influences and seasonal fluctuations of hydrochemical and climatic parameters.
The first phase of the doctoral thesis involved studies on the inhibition of alkaline phosphatase in activated sludge by oxyanions. Using the fluorometric microplate assay, the inhibitory effect was sensitively detected over a pH range of 7.0 to 8.5. IC50- and IC20-concentrations were calculated from modeled dose-response functions. It was found that vanadate and tungstate caused strong inhibitory effects, while molybdate moderately inhibited the enzyme. An increasing pH led to a reduction in the inhibitory effect of tungstate and molybdate. The inhibition effects of vanadate were not significantly affected by the pH. In municipal wastewater, the concentrations of such metal ions are usually low, but industrial wastewater may have pollutant loads that can significantly impact the removal of phosphorus-containing compounds, and thus the efficiency of treatment plants.
In the second phase, an attempt was made to further adapt the developed methodology to investigate EEA and kinetics in intact freshwater biofilms. Four different types of bead materials (lava, glass, sintered quartz, and ceramics) fitting into a 96-well microplate were tested as carriers for biofilms on both the laboratory and field scale. The analysis included a total of seven hydrolases as representatives of key nutrient cycles such as phosphorus, carbon, and nitrogen: phosphatases, glucosidases, peptidases (two different types), and sulfatase. Experiments with increasing substrate concentrations led to classical kinetic profiles according to the Michaelis-Menten mechanism. This allowed for the prediction of the biofilm enzymes’ response to different substrate concentrations. Parameters such as Vmax and Km could be derived from the modeled curves.
Ceramic beads are particularly suitable for long-term studies due to their high stability, while sintered quartz beads should be preferred for the use in stagnant media (material loss under turbulent conditions). Lava and glass beads, on the other and, proved suboptimal for uniform biofilm development due to their surface properties. The potential use of this fast and sensitive test for ecotoxicological or even human-toxicological studies was demonstrated by the effects of caffeine on the activity of PDE. The result of this part of the research represents a powerful tool for assessing environmental pollution and monitoring water quality.
The high application potential was clearly highlighted in the final phase of the project. The goal here was to deepen the understanding of interactions between seasonal factors, anthropogenic influences, and biofilm processes in rivers by investigating EEA and biofilm parameters such as biomass and relating them to hydrochemical and climatic factors. Ceramic beads were exposed both upstream and downstream of a wastewater treatment plant discharge and sampled over a period of seven months. EEAs and biomass varied depending on the season and location, with higher microbial activity observed upstream in winter. Winter conditions led to the dilution of most nutrients as well as in an increse of dissolved oxygen. Nutrient concentrations analyzed downstream were significantly higher in the summer. Accumulation of nutrient or pollutants during the summer months cannot be excluded, which may have led to a general reduction in enzyme activities.
Potential causes could be inhibitory effects on the enzymes, or a reduced enzyme activity due to a sufficiently high nutrient supply. In general, the sampling site upstream showed a more pronounced seasonal dynamics, with a significant proportion of the variance in biological parameters (activity and biomass) attributable to seasonal factors. A secondary component, likely reflecting the impact of the treatment plant discharge, explained another portion of the data variance. Regardless of the season, high correlations between biological parameters were observed upstream, while downstream the data were more decorrelated. This could be because the biofilms, under chronic stress, respond less dynamically to seasonal fluctuations.
This dissertation illustrates that in addition to anthropogenic stress factors, seasonal fluctuations of hydrochemical and climatic parameters should also be considered in "stress downstream the pipe" studies. The selected methods are recommended for explaining and considering the data variance, as they highlight the complex interplay between microbial enzymatic activity, environmental factors, and pollutants in the activated sludge of wastewater treatment plants and also in aquatic systems. The novel bead assay could pave the way for the future standardization of effect-oriented studies on intact aquatic biofilms.
Perennial crops eliminate soil disturbance and reduce the amount of synthetic chemicals that are applied to the soil, improving soil biodiversity and food web structure. Additionally, perennial cropping is characterised by all year-round surface coverage which benefits soil biota in terms of habitat and food sources. Perennial intermediate wheatgrass (Thinopyrum intermedium, IWG) was domesticated and commercialised by The Land Institute in Kansas as Kernza® and serves as an example for these nature-based solutions. It develops an extensive root system that has a higher nutrient retention, possibly reducing nutrient runoff. It thereby follows a more resource-conservative strategy with improved belowground-oriented resource allocation in its root system. This may reduce the need for excessive fertiliser as the crop has a higher nitrogen efficiency, among other things.
IWG promoted the earthworm community and its diversity, more specifically, the occurrence of epigeic species (litter inhabitants), since those species benefit from the increased soil coverage and elimination of disturbances in the soil. As IWG creates a dense and extensive root system, as shown by the increased occurrence of root-feeding nematodes, endogeic species (horizontal burrowers) are supported through the provision of a reliable food source. IWG was characterised as a mostly undisturbed system with a highly structured food web through nematode analysis, as expressed through the promotion of structure indicators, for example, that are sensitive to disturbances in the soil and are therefore supported under no-till management. The root microbiome is continuously being shaped by the host as the crop regrows from the roots each vegetation period. This creates a symbiotic relationship and a beneficial feedback loop for the crop. Resultantly, the root-endophytic microbiome under IWG had a higher network complexity, connectivity and stability compared to annual wheat. The regrowth from the roots for IWG requires increased nutrient and energy storage, which was indicated by increased starch values. Correspondingly, the longer residence time of the roots in the soil resulted in higher lignin values. Furthermore, the decomposition pathway was dominated by fungivorous nematodes which may correspond to stimulated nutrient cycling and a heterogeneous resource environment, as seen for low input systems.
Overall, perennial wheat cultivation improved soil biodiversity already after an establishment of 3-6 years. As those benefits were present for all three countries, the varying soil and climate conditions do not seem to interfere with the positive effect of perennial wheat on the soil ecosystem, demonstrating a wide transferability and adaptability of the crop onto other study sites as well. Enhanced complexity and connectivity of the food web in comparison to annual wheat may indicate a resistance against abiotic stress, suggesting IWG cultivation as a viable option for a sustainable and resilient agriculture. The improvement in nutrient cycling and the resource-efficient cultivation strategy for IWG could enable cultivation on marginal land where annual crop cultivation is not possible as the soils are susceptible to erosion and nutrient runoff. This opens up new possibilities for agricultural cultivation on previously unused land, thus contributing to food security in the future.
The application of machine learning and deep learning methods to hydrological modelling has advanced significantly in recent years, offering alternatives to traditional conceptual and physically based approaches. Within the numerous algorithms, long short-term memory (LSTM) networks have proven themselves particularly useful for the task of streamflow modelling. This thesis provides a collection of publications that investigate the capabilities, limitations and interpretability of LSTM for the purpose of streamflow modelling and climate change impact assessment within the lowland Ems catchment in Northwest Germany.
Within a comparative performance evaluation, LSTM and its predecessor, the recurrent neural network, demonstrate superior accuracy compared to the conceptual HBV model across various statistical performance metrics. However, a decline in performance was observed during low-flow conditions in certain sub-catchments. The evaluation of the flow duration curve revealed that the ML models more effectively capture the water balance, while HBV better represents streamflow dynamics.
To enhance the interpretability of LSTM, six explainable artificial intelligence techniques were applied. These methods consistently identified seasonal patterns in the temporal relevance of hydroclimatic input data. In combination with an observed correlation between the internal LSTM states and catchment-scale soil moisture dynamics, the findings suggest that LSTM models are capable of implicitly learning the relevant hydrological processes.
Following, the capabilities of LSTM to model climate change impact scenarios, particularly when they extend beyond historically observed climate conditions, are addressed. An ensemble of climate change projections is provided as hydroclimatic input to evaluate the performance of LSTMs and conceptual models. While all models reveal heterogeneous alterations in streamflow under future climate conditions, significant differences emerge based on the model type. Results provide evidence that LSTMs, in combination with the temperature-based Haude formula for estimating potential evaporation, work inadequately under altered climatic regimes, raising concerns about their applicability in long-term projections. The study also indicates the potential need to incorporate physical constraints into LSTM architectures to ensure model robustness and hydrological plausibility beyond the historical training range.
Collectively, this thesis contributes important insights into the applicability and interpretability of LSTM models in streamflow modelling. Despite the presence of a physically realistic representation of soil moisture dynamics of the Ems catchment, no robust change signals for streamflow under climate change can be derived. Those results underscore the potential of LSTM model approaches for accurate streamflow simulation, however, they require us to always critically question LSTM results, particularly when they are applied outside the training range.
Present-day air quality is known through dense monitoring and extensive pollu-
tion control mechanisms. In contrast, knowledge of historical pollution,
particularly before the industrial revolution, is accessible only through occasional
reports of singular local events and through natural archives such as ice or
sediment cores that record global-scale pollution. However, the regular local to
regional pollution that most affects human life is hardly known. Historical
sciences have argued both for and against significant air pollution in and around
historic cities and manufacturing sites. For the Roman era, it has been
hypothesized that air quality played a role in several patterns of action of the period.
However, to the author's knowledge, there are no quantitative studies of
Roman emissions. Using the results of modern experimental archaeology, this
study attempts to quantify the emissions from Roman pottery kilns and their
impact on surrounding human settlements. It is shown that although the
pollution did not reach today's limits, it must have approached levels known to cause
adverse health effects. A series of additional test simulations have been
conducted to determine how these first results might be improved in the future.
Spatial microsimulation is an important tool for integrating geographical information into the evaluation of public policies and the analysis of social phenomena in urban regions. These models simulate the behavior and interaction between units of the region, such as individuals, households or firms, under specific conditions that may or not involve projections over time. This requires a representative base data set for their respective units.
In this thesis, we focus on the geo-referencing step of the population in the construction of this data set, where we define the location of the individuals so that the allocation obtained is representative in relation to the population of the region. To do this, we consider the assignment of households to dwellings with specific coordinates by solving a maximum weight matching problem where side constraints are included so that the allocation obtained satisfies statistical structures intrinsic to the considered region.
The model of this problem represents each feasible assignment of household to dwelling as a binary variable, which results in billions of variables for medium-sized municipalities such as the city of Trier, Germany. Therefore, standard solvers for mixed-integer linear optimization are not able to solve it due to their high time and memory consumption. Hence, we develop two approaches capable of producing high-quality allocations using a reasonable amount of computational resources, one based on specific decomposition algorithms, and the other characterized by the application of an approximation algorithm in the framework of Lagrangian relaxation of the side constraints.
We theoretically explore the allocations obtained by both approaches and perform an extensive computational study using synthetic data sets and real-world data sets associated with the city of Trier. The results show that the developed methods are able to obtain near-optimal solutions using significantly less memory and time than the solver Gurobi, which enables them to tackle significantly larger instances, with approximately 100 000 households and dwellings. Furthermore, the allocations obtained for the real-world data sets correspond to a realistic population distribution, which strengthens the practical applicability of our methods.
Three-Point Difference Schemes of High Order of Accuracy for Solving the Sturm-Liouville Problem
(2025)
The dissertation is devoted to the construction and justification of three-point difference schemes of high order of accuracy for solving the Sturm-Liouville problem. A new algorithmic realization of the exact three-point difference scheme on a non-uniform grid has been developed. We show that to compute the coefficients of the exact scheme in an arbitrary grid node, it is necessary to solve two auxiliary Cauchy problems for the system of three linear ordinary differential equations of the first order. The coefficient stability of the exact three-point difference scheme is proved. If the Cauchy problems are solved numerically using any one-step method, we obtain the truncated three-point difference scheme. The accuracy estimate of three-point difference schemes was obtained and the algorithm for finding their solution was developed.
We also developed a new algorithmic realization of the exact three-point difference scheme for the Sturm-Liouville problem with singularities at the ends of the interval. As in the case of the classical Sturm-Liouville problem, to find the coefficients of the exact three-point difference scheme, it is necessary to solve two auxiliary Cauchy problems for each grid node. The coefficient stability of the exact three-point difference scheme is proved. Since the Cauchy problems for the first and last grid nodes are singular, the Taylor series method has been developed to solve them. The accuracy estimate of truncated three-point difference schemes was obtained. To solve the difference scheme, the Newton's iterative method is used.
Numerical experiments are presented which confirm the efficiency of the proposed approach.
Biodiversity is threatened by a wide range of anthropogenic activities. Monitoring offers critical insights into how and why biodiversity is changing, helping to identify effective measures for maintaining biodiversity and its ecosystem services. However, conventional biodiversity monitoring methods are labor-intensive, and standardized long-term monitoring series are scarce. DNA-based approaches like metabarcoding environmental DNA (eDNA) promise rapid, cost-efficient, and highly resolved community data. At the same time, scientists are looking for alternative data sources that can compensate for the lack of long-term monitoring data to study past biodiversity changes. This work explores the potential of the German Environmental Specimen Bank (ESB), a pollution monitoring archive, which appears particularly promising for retrospective biodiversity monitoring. Biota samples from different ecosystems across the country are collected and archived at an exceptional level of standardization. Sampling species act as natural eDNA samplers, accumulating genetic traces from surrounding organisms. The cryogenic storage at the ESB preserves any eDNA in the samples in its original state. In this thesis, Chapter I serves as an introductory chapter, outlining the general chances and challenges of metabarcoding for assessing biodiversity. Chapter II focuses on primer design and testing the utility of ESB sampling species like mussels and macroalgae for characterizing the surrounding community. Both chapters form the basis for Chapters III to V, which report the use of ESB time series to uncover sample-associated communities and the changes they undergo. Chapter III illustrates the value of these time series by revealing the invasion trajectory of an alien barnacle into German coastal waters and linking the process to climate change. Chapter IV forms the core of this thesis by presenting an expanded measurement of biodiversity change in ESB time series across different taxonomic groups and ecosystem types. Here, a gradual compositional change (turnover) is reported from bacterial, fungal, microeukaryotic, and metazoan communities tending to either spatial homogenization or differentiation. Observed trends are tested for significance using a dynamic model of community ecology based on the equilibrium theory of island biogeography. The model reveals significantly accelerated turnover rates across all taxonomic groups and ecosystems investigated, suggesting a common, anthropogenically induced driver of biodiversity change. Since these analyses most likely include DNA derived from dead as well as from living organisms, Chapter V aims to separate both groups by metabarcoding both DNA and less stable ribosomal RNA from mussel samples. Contrary to the hypothesis, RNA is detectable from both living endobionts and dietary taxa. However, it outcompetes DNA in detecting microeukaryotic biodiversity. In summary, this thesis demonstrates the outstanding potential of archived ESB samples for retrospective biodiversity monitoring, a resource that offers many further untapped opportunities for future biodiversity research at multiple scales.
In most textbooks optimal sample allocation is tailored to rather theoretical examples. However, in practice we often face large-scale surveys with conflicting objectives and many restrictions on the quality and cost at population and subpopulation levels. This multiobjectiveness results in a multitude of efficient sample allocations, each giving different weight to a single survey purpose. Additionally, since the input data to the allocation problem often relies on supplementary information derived from estimation, historical data, or expert knowledge, allocations might be inefficient when specified for sampling.
This doctoral thesis presents a framework for optimal allocation to standard sampling schemes that allows for specifying the tradeoff between different objectives and analyzing their sensitivity to other problem components, aiming to support a decision-maker in identifying an at-most preferred sample allocation. It dedicates a full chapter to each of the following core questions: 1) How to efficiently incorporate quality and cost constraints for large-scale surveys, say, for thousands of strata with hundreds of precision and cost constraints? 2) How to handle vector-valued objectives with their components addressing different, possibly conflicting survey purposes? 3) How to consider uncertainty in the input data?
The techniques presented can be used separately or in combination as a general problem-solving framework for constrained multivariate and multidomain, possibly uncertain, sample allocation. The main problem is formulated in a way that highlights the different components of optimal sample allocation and can be taken as a gateway to develop solution strategies to each of the questions above, while shifting the focus between different problem aspects. The first question is addressed through a conic quadratic reformulation, which can be efficiently solved for large problem instances using interior-point methods. Based on this the second question is tackled using a weighted Chebyshev minimization, which provides insight into the sensitivity of the problem and enables a stepwise procedure for considering nonlinear decision functionals. Lastly, uncertainty in the input data is addressed through regularization, chance constraints and robust problem formulations.
Building on Social Virtual Reality to Support Flexible Collaboration and Enrich Therapy Sessions
(2025)
Social virtual environments allow their users to meet and collaborate in a shared three-dimensional space, even when far apart from each other in the real world. Within these spaces, the appearance and interaction capabilities of both users and environments can be adapted and changed in a myriad of ways. To enable virtual environments to fulfill their potential of supporting a wide variety of collaboration use-cases, both the impacts of basic interaction design decisions and the individual needs of specific usage areas need to be explored further.
This thesis approaches this topic in two ways. First, the basic building blocks of collaboration in social virtual environments are explored by asking the question: "How can social virtual spaces that allow interaction beyond real-world constraints utilize the potential of mutual assistance and shared workflows between multiple users?". Going into further detail for a serious use-case in which direct collaborative interactions and their effect on the included users are especially important, it then explores the potential of collaborative virtual spaces in the therapy domain by asking "How can the potential of social virtual spaces be utilized to support and improve therapy encounters?"
With regards to the first research question, the thesis presents two theoretical frameworks detailing different aspects of supporting smooth and varied collaboration processes. In addition, several user studies on the topic of collaborative virtual interaction are described, focusing on the role that different users can play during shared interaction and the effects that this distribution of roles and responsibilities has on both the performance and experience of the involved user pairs.
The results presented for this first research question show that social virtual spaces have the potential to provide dedicated support for collaborative workflows. To enable users to adapt their working mode individually and as a team, interaction techniques should complement a team's natural interaction and communication. When presenting novel interactions to users, providing them with a way to support each other can ease their adaptation to these interactions. In these cases, the inclusion of all interested collaborators as active participators should be prioritized in order to let all users benefit from being immersed in a virtual environment.
Addressing the combination of social virtual spaces with therapy in relation to the second research question, this thesis presents the result of a series of interviews with practicing physio- and psychotherapists. Motivated by the recorded expert feedback, it also reports on two more detailed explorations of specific areas of interest. The work presented for the second research question demonstrated the promise of using virtual environments in both exercise- and conversation-based therapy practice. Investigating the potential of shared interactions, the exploration of virtual recordings and the adaptation of virtual appearances, the presented work uncovered several topic areas that could be further explored regarding their possible use in the treatment of patients.
Taken together, the six research articles presented in this thesis show both the value of supporting and understanding shared interactions in virtual spaces and their potential place in serious use-cases like the therapy domain. When introducing shared virtual environments to new user groups, the opportunity for mutual support through shared interaction techniques could be a crucial building block towards making virtual spaces both accessible and attractive to a variety of users.
The present dissertation deals with variable stress patterns in English complex adjectives such as celebratory, identifiable or imaginative. This variation is usually described in terms of retaining the stress from the embedded base (idéntify -> idéntifiable) or deviating from the stress of the embedded base (idéntify -> identifíable). While several accounts have explored this variation, none of them have been able to identify a plausible reason for why it occurs. Additionally, the role of individual speaker differences has been disregarded in the discussion. This dissertation therefore explores the empirically observable extent of the variation and investigates possible causes of it with a special focus on individual differences between speakers. It uses data from a complex online experiment that included five different tasks to assess speakers' stress production, perception, morphological processing, vocabulary size and other factors. It furthermore tests the predictions of previous accounts on the large set of authentic utterances from speakers collected using this online experiment. The data show that individual differences in vocabulary size between speakers are a significant predictor of a speaker's tendency to retain the stress of the embedded base.
The new millennium has been characterized by rising digitalization, the proliferation of shadow banking, and significant advancements in machine learning and natural language processing. These trends present both challenges and opportunities, which my dissertation addresses. This cumulative dissertation investigates critical aspects of financial stability, monetary policy, and the transition towards cashless economies through three distinct but interrelated studies.
The first paper examines the risk-taking channel of monetary policy transmission within the euro area, focusing on shadow banks. Through vector autoregressive models, it assesses the impact of conventional and unconventional monetary policy shocks on shadow banks' asset growth and risk asset ratios. The results indicate that lower interest rates lead to a portfolio reallocation towards riskier assets and a general expansion of assets in shadow banks. In the case of conventional monetary policy shocks, both effects last three times as long as in the case of unconventional monetary policy shocks. Country-specific as well as sector-specific estimations confirm these findings. This study bridges gaps in the existing literature, especially in the eurozone, by highlighting the significant role shadow banks play in monetary policy transmission, suggesting implications for financial regulation and stability.
The second paper explores the influence of financial stability considerations on US monetary policy, particularly during the Great Recession. Utilizing natural language processing and machine learning techniques on congressional hearings, this study constructs indicators for financial stability sentiment expressed by the Federal Reserve Chairs. Empirical analysis is conducted using Taylor-rule models, revealing that negative financial stability sentiment is associated with a more accommodative monetary policy stance, even before the Great Recession. This work provides new insights into the integration of financial stability concerns into monetary policy frameworks, demonstrating the need for a balanced approach to economic stability. The article suggests that under a dual mandate, such as that of the Federal Reserve, financial stability can, to some extent, already be factored into monetary policy deliberations.
The third paper sheds new light on ``cash paradox'' by uncovering the factors of the cashless transition that has not been entirely understood so far. Using a comprehensive dataset across 65 countries, the study employs panel data models to explain the paradox (increasing demand for central bank money despite soaring digitalization), especially among technologically advanced countries, e.g., Japan. Empirical evidence suggests that digitalization is not significantly associated with higher reliance on physical cash. It uncovers a unique non-linear relationship between trust and cash usage (``Arch of Trust'') which holds after addressing potential endogeneity issues using 2SLS estimation. Opposed to the widespread misinterpretations of Keynes' (1937) reasons for holding cash, the findings highlight that distrust is the key factor unlocking two distinct puzzles in economics, linking cash hoarding with ``missing'' funds on capital markets and slower shift toward digital payments in low-trust societies. A key insight is the role of trust as a (social) insurance, cushion or safety net, dampening the perception of risk and reducing precautionary and transactionary demand for physical cash, while encouraging a shift towards riskier alternatives. This, in turn, is connected to the third puzzle, the ``paradox of prudence.'' A shift from riskier investments to safer assets, cash, may be prudent at the individual level but risky for the overall economy, a concern for macroprudential policymakers. Additionally, the research highlights the critical role of culture in driving the global movement towards cashless economies. Moreover, cultures that are more self-expression-oriented (which is the main cultural dimension) and culturally closer to Sweden are associated with less cash-intensive economies. These insights are vital for macroprudential regulators as well as for policymakers designing payment systems and CBDC in culturally diverse regions like the Eurozone.
Collectively, these papers contribute to a deeper understanding of monetary policy, financial stability, and the transition from cash-based to (nearly) cashless societies, offering significant theoretical and practical implications for academics, regulators and central bankers.
Biotic communities experienced significant changes in recent decades. Climate change, the overexploitation of natural resources and the immigration of invasive species are major drivers for this change and present unknown challenges for communities worldwide. To assess the impact of these drivers, standardised long-term studies are required, which are currently lacking for many species and ecosystems. Analysing environmental samples and the DNA of associated organisms using metabarcoding and high-throughput sequencing provides a cost-efficient and rapid way to generate the high-resolution biodiversity data which is so direly needed.
In this thesis, I demonstrate the great potential of using samples from the German Environ- mental Specimen Bank (ESB), a long-term monitoring archive that has been collecting and cryogenically storing highly standardised environmental samples since 1985. Modern analytical methods enable retrospective long-term biodiversity monitoring using these samples. In the first chapter, I illustrate metabarcoding as a central method, discussing its strengths and drawbacks, how to avoid them, and new application approaches. This chapter provides the methodological basis for the following studies.
In subsequent chapters, I present time series analyses of communities associated with these environmental samples. While for Chapter two the focus is on terrestrial arthropod communities, in Chapter three aquatic and terrestrial communities across the tree of life are analysed. A null model was developed for this survey for robust conclusions. The studies covered the last three decades and revealed substantial compositional changes across all ecosystems. These changes deviated significantly from the model, indicating that the changes are occurring faster than expected. Moreover, a trend toward homogenization in many terrestrial communities was uncovered. Climate change and the immigration of invasive species in combination with the loss of site-specific species are suspected to be the main drivers for this. In a follow-up study, changes of arthropod communities in German and South Korean terrestrial ecosystems were compared using ESB leaf samples from these two countries. Since both ESBs are harmonised in sample collection and processing, comparative analyses were applicable. This research covered the last decade and revealed substantial declines in species richness in Korea. Abiotic and biotic factors are discussed as potential drivers of these results.
Finally, the possibility of assessing tree health by analysing changes in functional fungal groups using German ESB samples was investigated. The results indicate that increasing infestation of specific functional groups is a proxy for declining tree health, with further analyses planned. In this dissertation, I present the great potential of samples from long-term monitoring archives to conduct retrospective biodiversity trend analyses across the tree of life. As technologies evolve, these samples will help to understand past and predict future ecosystem changes.
The present study investigates the prosody of information-seeking (ISQs) and rhetorical questions (RQs) in Standard Chinese, in polar and wh-questions. Like in other languages, ISQs and RQs in Standard Chinese can have the same surface structure, allowing for a direct prosodic comparison between illocution types (ISQ vs RQ). Since Standard Chinese has lexical tone, the use of f0 as a cue to illocution type may be restricted. We investigate the prosodic differences between ISQs and RQs as well as the interplay of prosodic cues to RQs. In terms of f0, results showed that RQs were lower in f0, with the f0 range on the first word being expanded followed by f0 compression. RQs were further longer in duration and more often realized with non-modal voice quality (glottalized voice) as compared to ISQs. These prosodic cues were largely manipulated in tandem (illocutionary pairs with larger durational differences also showed larger differences in mean f0; voice quality, in turn, seemed to be an additional cue). We suggest three possible explanations (assertive force, focus, speaker attitude) that unite the present findings on RQs in Standard Chinese with the findings on RQs in other, non-tonal languages.
Entrepreneurship is recognized as an important discipline to achieve sustainable development and to address sustainability goals without losing sight of economic aspects. However, entrepreneurship rates are rather low in many industrialized countries with high income levels. Research clearly shows that there is a gap in the entrepreneurial process between intentions and subsequent actions. This means that not everyone with entrepreneurial ambitions also follows through and implements actions. This gap also exists for aspects of sustainability. As a result, there is a need to better understand the traditional and sustainability-focused entrepreneurial process in order to increase corresponding actions. This dissertation offers such a comprehensive perspective and sheds light on individual and contextual predictors for traditional and sustainability-focused behavior of entrepreneurs and self-employed across four studies.
The first three studies focus on individual predictors. By providing a systematic literature review with 107 articles, Chapter 2 highlights the ambivalent role of religion for the entrepreneurial process. Relying on the theory of planned behavior (TPB) as theoretical basis, religion can have positive effects on entrepreneurial attitudes and behavioral control, but also negative consequences for other aspects of behavioral control and subjective norms due to religious restrictions.
The quantitative empirical study in Chapter 3 similarly relies on the TPB and sheds light on individual perceptual factors influencing the sustainability-related intention-action gap in entrepreneurship. Using data from the 2021 Global Entrepreneurship Monitor (GEM) Adult Population Survey (APS) including 22,008 early-stage entrepreneurs from 44 countries worldwide, the results support our theoretical reasoning that sustainability-focused intentions are positively related to social entrepreneurial actions. In addition, it is demonstrated that positive perceptual moderators such as self-efficacy and knowing other entrepreneurs as role models strengthen this relationship while a negative perception such as fear of failure restricts social actions in early-stage entrepreneurship.
The next quantitative empirical study in Chapter 4 examines the behavioral consequences of well-being at a sample of 6,955 German self-employed during COVID-19. This chapter builds on two complementary behavioral perspectives to predict how reductions in financial and non-financial well-being relate to investments in venture development. In this regard, reductions in financial well-being are positively related to time investments, supporting the performance feedback perspective in terms of higher search efforts under negative performance. In contrast, reductions in non-financial well-being are negatively related to time and monetary investments, yielding support for the broadening-and-build perspective indicating that negative psychological experiences narrow the thought-action repertoire and hinder resource deployment. The insights across these first three studies about individual predictors indicate that many different, subjective beliefs, perceptions and emotional states can influence the entrepreneurial process making entrepreneurship and self-employment highly individualized disciplines.
The last quantitative empirical study provides an explorative view on a large number of contextual predictors for social and ecological considerations in entrepreneurial actions. Combining GEM data from 2021 on country level with further information from the World Bank and the OECD, a machine learning approach is employed on a sample of 84 countries worldwide. The results suggest that governmental and regulatory as well as cultural factors are relevant to predict social and ecological considerations. Moreover, market-related aspects are shown to be relevant predictors, especially socio-economic factors for social considerations and economic factors for ecological considerations. Overall, the four studies in this dissertation highlight the complexity of the entrepreneurial process being determined by many different individual and contextual factors. Due to the multitude of potential predictors, this dissertation can only give an initial overview of a selection of factors with many more aspects and interdependencies still to be examined by future research.
Within this thesis the hedging behaviour of airlines from 2005 to 2019 is analysed by using an unbalanced panel dataset consisting of a total of 78 airlines from 39 countries. The focus of the analysis is on financial and operational hedging as well as the influence of both on CO2 emissions and the development of emitted CO2 emissions. For the analysis Probit models with random effects and OLS models with fixed effects were used.
The results regarding the relationship between leverage and financial hedging indicate a negative relationship between everage and financial fuel hedging and a non-linear convex relationship for highly leveraged airlines, which is contrary to the theory of financial distress.
In addition, the study provides evidence that airlines using other types of derivatives, such as interest rate derivatives, engage in more fuel hedging.
In terms of operational hedging, the analysis suggests that operating a diversified fleet is a complement to, rather than a substitute for, financial hedging. With regard to alliance membership, the results do not show that alliance membership is a substitute for financial hedging, as members of alliances are more likely to engage in hedging transactions and to a greater extent.
The analysis shows that the relative CO2 emissions fall in the period under review, but this does not apply to the absolute amount. No general statement can be made about the influence of financial and operational hedging on CO2 emissions, as the results are mixed.
When natural phenomena and data-based relations are driven by dynamics which are not purely local, they cannot be described satisfactorily by partial differential equations. As a consequence, mathematical models governed by nonlocal operators are of interest. This thesis is concerned with nonlocal operators of the form
$\mathcal{L}u(x) = PV \int_{\mathbb{R}^d} (u(x)-u(y)) K(x,dy), x \in \mathbb{R}^d$,
which are determined through a family of Borel measures $K=(K(x, \cdot))_{x \in \mathbb{R}^d}$ on $\mathbb{R}^d$ and which act on the vector space of Borel measurable functions $u: \mathbb{R}^d \rightarrow \mathbb{R}$. For a large class of families $K$, namely those where $K$ is a symmetric transition kernel satisfying a specific non-degeneracy condition, a variational theory for nonlocal equations of the type $\mathcal{L}u=f$ is established which builds upon gadgets from both measure theory and classical analysis. While measure theory is used to provide a nonlocal integration by parts formula that allows to set up a reasonable variational formulation of the above equation in dependency of the particular boundary condition (Dirichlet, Robin, Neumann) considered, Hilbert space theory and fixed-point approaches are utilized to develop sufficient conditions for the existence of variational solutions. This theory is then applied to two specific realizations of $\mathcal{L}$ of interest before a weak maximum principle is established which is finally used to study overlapping domain decomposition methods for the nonlocal and homogeneous Dirichlet problem.
Small and medium-sized enterprises (SMEs) and mid-sized companies are vital contributors to the global economy, driving employment growth, fostering innovation, and enhancing international competiveness. However, in the aftermath of the Great Financial Crisis (GFC) and the collapse of the large finance company CIT Group, which provided 60% loans to US middle-market firms, banks reduced their lending activities. Thus, it became challenging for firms to obtain long-term loans. The financing gap has increased further due to high interest rates, the COVID-19 pandemic, the unstable situation in the real estate market as well as higher costs due to the adoption of digital infrastructure and sustainability goals. Therefore, the search for alternative financing solutions outside bank lending and public markets became unavoidable for SMEs and mid-sized companies. Private debt funds entered the market, and, since the GFC, they have played a crucial role in offering alternative financing for firms globally. Private debt fund managers raise capital commitments through closed-end funds (like private equity) and make senior loans (like banks) directly to, mostly, middlemarket firms. The private debt market has experienced rapid growth in recent decades. The private debt funds assets under management (AuM) increased by 380% from 2008 to 2022, reaching $1.5 trillion AuM in 2022 . The high growth of private debt shows great interest from investors in this alternative asset class and lucrative investment opportunities.
Despite its substantial and growing size, the private debt market is relatively understudied. This dissertation introduces private debt as an important alternative financing source, provides an overview of private debt strategies, seniority, and structure, discusses the legal considerations concerning private debt, and briefly compares the two most mature private debt markets: Europe and the U.S. Moreover, it assesses the size of the European private debt market and compares its development in different European regions. Furthermore, it examines in detail the business model of private debt funds based on a survey of 191 European and U.S. private debt managers with private debt assets under management of over $390 billion. Finally, it delves deeper into the relationship between private debt and private equity funds and their role in buyouts.
To sum up, this dissertation provides a basis and inspiration for future research to expand upon and dive deeper into the world of private debt funds, their business model, and their impact on portfolio companies and the economy as a whole.
Case-Based Reasoning (CBR) is a symbolic Artificial Intelligence (AI) approach that has been successfully applied across various domains, including medical diagnosis, product configuration, and customer support, to solve problems based on experiential knowledge and analogy. A key aspect of CBR is its problem-solving procedure, where new solutions are created by referencing similar experiences, which makes CBR explainable and effective even with small amounts of data. However, one of the most significant challenges in CBR lies in defining and computing meaningful similarities between new and past problems, which heavily relies on domain-specific knowledge. This knowledge, typically only available through human experts, must be manually acquired, leading to what is commonly known as the knowledge-acquisition bottleneck.
One way to mitigate the knowledge-acquisition bottleneck is through a hybrid approach that combines the symbolic reasoning strengths of CBR with the learning capabilities of Deep Learning (DL), a sub-symbolic AI method. DL, which utilizes deep neural networks, has gained immense popularity due to its ability to automatically learn from raw data to solve complex AI problems such as object detection, question answering, and machine translation. While DL minimizes manual knowledge acquisition by automatically training models from data, it comes with its own limitations, such as requiring large datasets, and being difficult to explain, often functioning as a "black box". By bringing together the symbolic nature of CBR and the data-driven learning abilities of DL, a neuro-symbolic, hybrid AI approach can potentially overcome the limitations of both methods, resulting in systems that are both explainable and capable of learning from data.
The focus of this thesis is on integrating DL into the core task of similarity assessment within CBR, specifically in the domain of process management. Processes are fundamental to numerous industries and sectors, with process management techniques, particularly Business Process Management (BPM), being widely applied to optimize organizational workflows. Process-Oriented Case-Based Reasoning (POCBR) extends traditional CBR to handle procedural data, enabling applications such as adaptive manufacturing, where past processes are analyzed to find alternative solutions when problems arise. However, applying CBR to process management introduces additional complexity, as procedural cases are typically represented as semantically annotated graphs, increasing the knowledge-acquisition effort for both case modeling and similarity assessment.
The key contributions of this thesis are as follows: It presents a method for preparing procedural cases, represented as semantic graphs, to be used as input for neural networks. Handling such complex, structured data represents a significant challenge, particularly given the scarcity of available process data in most organizations. To overcome the issue of data scarcity, the thesis proposes data augmentation techniques to artificially expand the process datasets, enabling more effective training of DL models. Moreover, it explores several deep learning architectures and training setups for learning similarity measures between procedural cases in POCBR applications. This includes the use of experience-based Hyperparameter Optimization (HPO) methods to fine-tune the deep learning models.
Additionally, the thesis addresses the computational challenges posed by graph-based similarity assessments in CBR. The traditional method of determining similarity through subgraph isomorphism checks, which compare nodes and edges across graphs, is computationally expensive. To alleviate this issue, the hybrid approach seeks to use DL models to approximate these similarity calculations more efficiently, thus reducing the computational complexity involved in graph matching.
The experimental evaluations of the corresponding contributions provide consistent results that indicate the benefits of using DL-based similarity measures and case retrieval methods in POCBR applications. The comparison with existing methods, e.g., based on subgraph isomorphism, shows several advantages but also some disadvantages of the compared methods. In summary, the methods and contributions outlined in this work enable more efficient and robust applications of hybrid CBR and DL in process management applications.
There is a wide range of methodologies for policy evaluation and socio-economic impact assessment. A fundamental distinction can be made between micro and macro approaches. In contrast to micro models, which focus on the micro-unit, macro models are used to analyze aggregate variables. The ability of microsimulation models to capture interactions occurring at the micro-level makes them particularly suitable for modeling complex real-world phenomena. The inclusion of a behavioral component into microsimulation models provides a framework for assessing the behavioral effects of policy changes.
The labor market is a primary area of interest for both economists and policy makers. The projection of labor-related variables is particularly important for assessing economic and social development needs, as it provides insight into the potential trajectory of these variables and can be used to design effective policy responses. As a result, the analysis of labor market behavior is a primary area of application for behavioral microsimulation models. Behavioral microsimulation models allow for the study of second-round effects, including changes in hours worked and participation rates resulting from policy reforms. It is important to note, however, that most microsimulation models do not consider the demand side of the labor market.
The combination of micro and macro models offers a possible solution as it constitutes a promising way to integrate the strengths of both models. Of particular relevance is the combination of microsimulation models with general equilibrium models, especially computable general equilibrium (CGE) models. CGE models are classified as structural macroeconomic models, which are defined by their basis in economic theory. Another important category of macroeconomic models are time series models. This thesis examines the potential for linking micro and macro models. The different types of microsimulation models are presented, with special emphasis on discrete-time dynamic microsimulation models. The concept of behavioral microsimulation is introduced to demonstrate the integration of a behavioral element into microsimulation models. For this reason, the concept of utility is introduced and the random utility approach is described in detail. In addition, a brief overview of macro models is given with a focus on general equilibrium models and time series models. Various approaches for linking micro and macro models, which can either be categorized as sequential approaches or integrated approaches, are presented. Furthermore, the concept of link variables is introduced, which play a central role in combining both models. The focus is on the most complex sequential approach, i.e., the bi-directional linking of behavioral microsimulation models with general equilibrium macro models.
The goal of this work is to compare operators that are defined on probably varying Hilbert spaces. Distance concepts for operators as well as convergence concepts for such operators are explained and examined. For distance concepts we present three main notions. All have in common that they use space-linking operators that connect the spaces. At first, we look at unitary maps and compare the unitary orbits of the operators. Then, we consider isometric embeddings, which is based on a concept of Joachim Weidmann. Then we look at contractions but with more norm equations in comparison. The latter idea is based on a concept of Olaf Post called quasi-unitary equivalence. Our main result is that the unitary and isometric distances are equal provided the operators are both self-adjoint and have 0 in their essential spectra. In the third chapter, we focus specifically on the investigation of these distance terms for compact operators or operators in p-Schatten classes. In this case, the interpretation of the spectra as null sequences allows further distance investigation. Chapter four deals mainly with convergence terms of operators on varying Hilbert spaces. The analyses in this work deal exclusively with concepts of norm resolvent convergence. The main conclusion of the chapter is that the generalisation for norm resolvent convergence of Joachim Weidmann and the generalisation of Olaf Post, called quasi-unitary equivalence, are equivalent to each other. In addition, we specify error bounds and deal with the convergence speed of both concepts. Two important implications of these convergence notions are that the approximation is spectrally exact, i.e., the spectra converge suitably, and that the convergence is transferred to the functional calculus of the bounded functions vanishing at infinity.
In this dissertation, I analyze how large players in financial markets exert influence on smaller players and how this affects the decisions of the large ones. I focus on how the large players process information in an uncertain environment, form expectations and communicate these to smaller players through their actions. I examine these relationships empirically in the foreign exchange market and in the context of a game-theoretic model of an investment project.
In Chapter 2, I investigate the relationship between the foreign exchange trading activity of large US-based market participants and the volatility of the nominal spot exchange rate. Using a novel dataset, I utilize the weekly growth rate of aggregate foreign currency positions of major market participants to proxy trading activity in the foreign exchange market. By estimating the heterogeneous autoregressive model of realized volatility (HAR-RV), I find evidence of a positive relationship between trading activity and volatility, which is mainly driven by unexpected changes in trading activity and is asymmetric for some of the currencies considered. My results contribute to the understanding of the drivers of exchange rate volatility and the role of large players in the flow of information in financial markets.
In Chapters 3 and 4, I consider a sequential global game of an investment project to examine how a large creditor influences the decisions of small creditors with her lending decision. I pay particular attention to the timing of the large player’s decision, i.e. whether she makes her decision to roll over a credit before or after the small players. I show that she faces a trade-off between signaling to and learning from small creditors. By being a focal point for coordination, her actions have a substantial impact on the probability of coordination failure and the failure of the investment project. I investigate the sensitivity of the equilibrium by comparing settings with perfect and imperfect learning. The results highlight the importance of signaling and provide a new perspective on the idea of catalytic finance and the influence of a lender-of-last-resort in self-fulfilling debt crises.
The cumulative and bidirectional groundwater-surface water (GW-SW) interaction along a stream is defined as hydrological turnover (HT) influencing solute transport and source water composition. However, HT proves to be highly variable, producing spatial exchange patterns influenced by local groundwater, geology, and topography. Hence, identifying factors controlling HT poses a challenge. We studied spatiotemporal HT variability at two reaches of a third order tributary of the river Mosel, Germany. Additionally, we sampled for silica concentrations in the stream and in the near-stream groundwater. Thus, creating snapshots of the boundary layer between ground- and surface water where HT occurs, driven by mixing processes in the hyporheic zone. We utilize an enhanced hydrograph separation method, unveiling reach differences in storage drainage based on aquifer dimension and connectivity. The data shows a site-specific negative correlation of HT with discharge, while hydraulic gradients correlate with HT only at the reach with faster catchment drainage behavior. Examining silica concentrations between stream and wells shows that silica variation increases significantly with the decrease of HT under low flow conditions at the slower draining reach. At the fast draining reach this relationship is seasonal. In Summary, our results show that stream discharge shapes the influence of HT on solute transport. Yet, reach drainage behavior shapes seasonal states of groundwater storages and can be an additional control of HT. Hence, concentration change of pollutants could be masked by HT. Thus, our findings contribute to the understanding of HT variability along streams and its ability of influencing physico-chemical stream water composition.
Introduction: Apart from a few studies with limited sample sizes, we have little data on attitudes toward lesbian and gay (LG) people in Greece. Methods: This study examines this topic in 949 heterosexual Greek participants. Based on previous research in cultural contexts other than Greece, we hypothesized that four demographics (gender, age, education, area of residence) and religious and political orientation predict a substantial amount of variance in homophobia (i.e., anti-LG attitudes). Results: We verified all observed variables except area of residence as significant predictors. Regarding the “intergroup contact hypothesis,” we distinguished the direct effects of the predictor variables from indirect effects mediated by contact with lesbians and gay men. All variables except area of residence showed a direct effect and, except for education, also an indirect effect on homophobia. The strongest effects were found for religious and political orientation, followed by gender. Highly religious, right-wing oriented, and male participants reported the highest levels of homophobia, partially mediated by their low level of contact with LG people. Discussion/Conclusion: The results confirm and further explain the detrimental role the Greek Orthodox Church, right-wing political parties, and traditional gender roles play in the acceptance of sexual minorities.
Background: Large language models (LLMs) are increasingly used in mental health, showing promise in assessing disorders. However, concerns exist regarding their accuracy, reliability, and fairness. Societal biases and underrepresentation of certain populations may impact LLMs. Because LLMs are already used for clinical practice, including decision support, it is important to investigate potential biases to ensure a responsible use of LLMs. Anorexia nervosa (AN) and bulimia nervosa (BN) show a lifetime prevalence of 1%-2%, affecting more women than men. Among men, homosexual men face a higher risk of eating disorders (EDs) than heterosexual men. However, men are underrepresented in ED research, and studies on gender, sexual orientation, and their impact on AN and BN prevalence, symptoms, and treatment outcomes remain limited.
Objectives: We aimed to estimate the presence and size of bias related to gender and sexual orientation produced by a common LLM as well as a smaller LLM specifically trained for mental health analyses, exemplified in the context of ED symptomatology and health-related quality of life (HRQoL) of patients with AN or BN.
Methods: We extracted 30 case vignettes (22 AN and 8 BN) from scientific papers. We adapted each vignette to create 4 versions, describing a female versus male patient living with their female versus male partner (2 × 2 design), yielding 120 vignettes. We then fed each vignette into ChatGPT-4 and to “MentaLLaMA” based on the Large Language Model Meta AI (LLaMA) architecture thrice with the instruction to evaluate them by providing responses to 2 psychometric instruments, the RAND-36 questionnaire assessing HRQoL and the eating disorder examination questionnaire. With the resulting LLM-generated scores, we calculated multilevel models with a random intercept for gender and sexual orientation (accounting for within-vignette variance), nested in vignettes (accounting for between-vignette variance).
Results: In ChatGPT-4, the multilevel model with 360 observations indicated a significant association with gender for the RAND-36 mental composite summary (conditional means: 12.8 for male and 15.1 for female cases; 95% CI of the effect –6.15 to -0.35; P=.04) but neither with sexual orientation (P=.71) nor with an interaction effect (P=.37). We found no indications for main effects of gender (conditional means: 5.65 for male and 5.61 for female cases; 95% CI –0.10 to 0.14; P=.88), sexual orientation (conditional means: 5.63 for heterosexual and 5.62 for homosexual cases; 95% CI –0.14 to 0.09; P=.67), or for an interaction effect (P=.61, 95% CI –0.11 to 0.19) for the eating disorder examination questionnaire overall score (conditional means 5.59-5.65 95% CIs 5.45 to 5.7). MentaLLaMA did not yield reliable results.
Conclusions: LLM-generated mental HRQoL estimates for AN and BN case vignettes may be biased by gender, with male cases scoring lower despite no real-world evidence supporting this pattern. This highlights the risk of bias in generative artificial intelligence in the field of mental health. Understanding and mitigating biases related to gender and other factors, such as ethnicity, and socioeconomic status are crucial for responsible use in diagnostics and treatment recommendations.
Background: Suicide represents a critical public health concern, and machine learning (ML) models offer the potential for identifying at-risk individuals. Recent studies using benchmark datasets and real-world social media data have demonstrated the capability of pretrained large language models in predicting suicidal ideation and behaviors (SIB) in speech and text.
Objective: This study aimed to (1) develop and implement ML methods for predicting SIBs in a real-world crisis helpline dataset, using transformer-based pretrained models as a foundation; (2) evaluate, cross-validate, and benchmark the model against traditional text classification approaches; and (3) train an explainable model to highlight relevant risk-associated features.
Methods: We analyzed chat protocols from adolescents and young adults (aged 14-25 years) seeking assistance from a German crisis helpline. An ML model was developed using a transformer-based language model architecture with pretrained weights and long short-term memory layers. The model predicted suicidal ideation (SI) and advanced suicidal engagement (ASE), as indicated by composite Columbia-Suicide Severity Rating Scale scores. We compared model performance against a classical word-vector-based ML model. We subsequently computed discrimination, calibration, clinical utility, and explainability information using a Shapley Additive Explanations value-based post hoc estimation model.
Results: The dataset comprised 1348 help-seeking encounters (1011 for training and 337 for testing). The transformer-based classifier achieved a macroaveraged area under the curve (AUC) receiver operating characteristic (ROC) of 0.89 (95% CI 0.81-0.91) and an overall accuracy of 0.79 (95% CI 0.73-0.99). This performance surpassed the word-vector-based baseline model (AUC-ROC=0.77, 95% CI 0.64-0.90; accuracy=0.61, 95% CI 0.61-0.80). The transformer model demonstrated excellent prediction for nonsuicidal sessions (AUC-ROC=0.96, 95% CI 0.96-0.99) and good prediction for SI and ASE, with AUC-ROCs of 0.85 (95% CI 0.97-0.86) and 0.87 (95% CI 0.81-0.88), respectively. The Brier Skill Score indicated a 44% improvement in classification performance over the baseline model. The Shapley Additive Explanations model identified language features predictive of SIBs, including self-reference, negation, expressions of low self-esteem, and absolutist language.
Conclusions: Neural networks using large language model–based transfer learning can accurately identify SI and ASE. The post hoc explainer model revealed language features associated with SI and ASE. Such models may potentially support clinical decision-making in suicide prevention services. Future research should explore multimodal input features and temporal aspects of suicide risk.
Background: As digital mental health delivery becomes increasingly prominent, a solid evidence base regarding its efficacy is needed.
Objective: This study aims to synthesize evidence on the comparative efficacy of systemic psychotherapy interventions provided via digital versus face-to-face delivery modalities.
Methods: We followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for searching PubMed, Embase, Cochrane CENTRAL, CINAHL, PsycINFO, and PSYNDEX and conducting a systematic review and meta-analysis. We included randomized controlled trials comparing mental, behavioral, and somatic outcomes of systemic psychotherapy interventions using self- and therapist-guided digital versus face-to-face delivery modalities. The risk of bias was assessed with the revised Cochrane Risk of Bias tool for randomized trials. Where appropriate, we calculated standardized mean differences and risk ratios. We calculated separate mean differences for nonaggregated analysis.
Results: We screened 3633 references and included 12 articles reporting on 4 trials (N=754). Participants were youths with poor diabetic control, traumatic brain injuries, increased risk behavior likelihood, and parents of youths with anorexia nervosa. A total of 56 outcomes were identified. Two trials provided digital intervention delivery via videoconferencing: one via an interactive graphic interface and one via a web-based program. In total, 23% (14/60) of risk of bias judgments were high risk, 42% (25/60) were some concerns, and 35% (21/60) were low risk. Due to heterogeneity in the data, meta-analysis was deemed inappropriate for 96% (54/56) of outcomes, which were interpreted qualitatively instead. Nonaggregated analyses of mean differences and CIs between delivery modalities yielded mixed results, with superiority of the digital delivery modality for 18% (10/56) of outcomes, superiority of the face-to-face delivery modality for 5% (3/56) of outcomes, equivalence between delivery modalities for 2% (1/56) of outcomes, and neither superiority of one modality nor equivalence between modalities for 75% (42/56) of outcomes. Consequently, for most outcome measures, no indication of superiority or equivalence regarding the relative efficacy of either delivery modality can be made at this stage. We further meta-analytically compared digital versus face-to-face delivery modalities for attrition (risk ratio 1.03, 95% CI 0.52-2.03; P=.93) and number of sessions attended (standardized mean difference –0.11; 95% CI –1.13 to –0.91; P=.83), finding no significant differences between modalities, while CIs falling outside the range of the minimal important difference indicate that equivalence cannot be determined at this stage.
Conclusions: Evidence on digital and face-to-face modalities for systemic psychotherapy interventions is largely heterogeneous, limiting conclusions regarding the differential efficacy of digital and face-to-face delivery. Nonaggregated and meta-analytic analyses did not indicate the superiority of either delivery condition. More research is needed to conclude if digital and face-to-face delivery modalities are generally equivalent or if—and in which contexts—one modality is superior to another.
Background: Psychoeducation positively influences the psychological components of chronic low back pain (CLBP) in conventional treatments. The digitalization of health care has led to the discussion of virtual reality (VR) interventions. However, CLBP treatments in VR have some limitations due to full immersion. In comparison, augmented reality (AR) supplements the real world with virtual elements involving one’s own body sensory perception and can combine conventional and VR approaches.
Objective: The aim of this study was to review the state of research on the treatment of CLBP through psychoeducation, including immersive technologies, and to formulate suggestions for psychoeducation in AR for CLBP.
Methods: A scoping review following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines was performed in August 2024 by using Livivo ZB MED, PubMed, Web of Science, American Psychological Association PsycINFO (PsycArticle), and PsyArXiv Preprints databases. A qualitative content analysis of the included studies was conducted based on 4 deductively extracted categories.
Results: We included 12 studies published between 2019 and 2024 referring to conventional and VR-based psychoeducation for CLBP treatment, but no study referred to AR. In these studies, educational programs were combined with physiotherapy, encompassing content on pain biology, psychological education, coping strategies, and relaxation techniques. The key outcomes were pain intensity, kinesiophobia, pain catastrophizing, degree of disability, quality of life, well-being, self-efficacy, depression, attrition rate, and user experience. Passive, active, and gamified strategies were used to promote intrinsic motivation from a psychological point of view. Regarding user experience from a software development perspective, user friendliness, operational support, and application challenges were recommended.
In the face of uncontrollable complexity, the concept of a rational design of the organization is being replaced by the notion of an open future that is inherently unpredictable and unplanable. In rapidly changing environments, organizations and leaders are confronted with a constant stream of irritations and unexpected developments, that require ongoing attention. This prompts the question of whether the conceptualization of digital transformation as a paradigm shift also implies the need for new forms of leadership. The article analyzes the discourse on digital leadership and assesses the extent to which this concept relativizes leadership in the context of the evolution of leadership theory, which is characterized by a persistent process of modification and relativization of preceding concepts. Leadership concepts are not only responsive to general needs, but also vary according to specific contexts, such as non-profit leadership or leadership in social welfare organizations and meta-organizations. Results of a discourse analysis, which underscore the significance of adopting a complexity theory perspective on digital leadership, will therefore be contrasted with the initial findings of an empirical study on digitization in such meta-organizations. This allows for a discussion of the general findings on the revitalization of leadership, which will serve as a paradigmatic example of the previously developed context. The article concludes with implications for further theory development with the aim of making a specific contribution to organization-sensitive digitization research. The findings of the empirical study indicate the significance of employing informal structures and a heightened emphasis on subjectivity within meta-organizations, as opposed to the formal structures of organizations. The concept of digital leadership does not signify the obsolescence of traditional leadership; rather, it can be conceptualized as an advanced form of unheroic leadership within the context of external and internal complexity.
Investment theory and related theoretical approaches suggest a dynamic interplay between crystallized intelligence, fluid intelligence, and investment traits like need for cognition. Although cross-sectional studies have found positive correlations between these constructs, longitudinal research testing all of their relations over time is scarce. In our pre-registered longitudinal study, we examined whether initial levels of crystallized intelligence, fluid intelligence, and need for cognition predicted changes in each other. We analyzed data from 341 German students in grades 7–9 who were assessed twice, one year apart. Using multi-process latent change score models, we found that changes in fluid intelligence were positively predicted by prior need for cognition, and changes in need for cognition were positively predicted by prior fluid intelligence. Changes in crystallized intelligence were not significantly predicted by prior Gf, prior NFC, or their interaction, contrary to theoretical assumptions. This pattern of results was largely replicated in a model including all constructs simultaneously. Our findings support the notion that intelligence and investment traits, particularly need for cognition, positively interact during cognitive development, but this interplay was unexpectedly limited to Gf.
Attention in social interactions is directed by social cues such as the face or eye region of an interaction partner. Several factors that influence these attentional biases have been identified in the past. However, most findings are based on paradigms with static stimuli and no interaction potential. Therefore, the current study investigated the influence of one of these factors, namely facial affect in natural social interactions using an evaluated eye-tracking setup. In a sample of 35 female participants, we examined how individuals’ gaze behavior responds to changes in the facial affect of an interaction partner trained in affect modulation.
Our goal was to analyze the effects on attention to facial features and to investigate their temporal dynamics in a natural social interaction. The study results, obtained from both aggregated and dynamic analyses, indicate that facial affect has only subtle influences on gaze behavior during social interactions. In a sample with high measurement precision, these findings highlight the difficulties of capturing the subtleties of social attention in more naturalistic settings. The methodology used in this study serves as a foundation for future research on social attention differences in more ecologically valid scenarios.
Job crafting is the behavior that employees engage in to create personally better fitting work environments, for example, by increasing challenging job demands. To better understand the driving forces behind employees’ engagement in job crafting, we investigated implicit and explicit power motives. While implicit motives tend to operate at the unconscious, explicit motives operate at the unconscious level. We focused on power motives, as power is an agentic motive characterized by the need to influence your environment. Although power is relevant to job crafting in its entirety, in this study, we link it to increasing challenging job demands due to its relevance to job control, which falls under the umbrella of power. Using a cross-sectional design, we collected survey data from a sample of Lebanese nurses (N = 360) working in 18 different hospitals across the country. In both implicit and explicit power motive measures, we focused on integrative power that enable people to stay calm and integrate opposition. The results showed that explicit power predicted job crafting (H1) and that implicit power amplified this effect (H2). Furthermore, job crafting mediated the relationship between congruently high power motives and positive work-related outcomes (H3) that were interrelated (H4). Our findings unravel the driving forces behind one of the most important dimensions of job crafting and extend the benefits of motive congruence to work-related outcomes.
Aims: Fear of physical activity (PA) is discussed as a barrier to regular exercise in patients with heart failure (HF), but HF-specific theoretical concepts are lacking. This study examined associations of fear of PA, heart-focused anxiety and trait anxiety with clinical characteristics and self-reported PA in outpatients with chronic HF. It was also investigated whether personality-related coping styles for dealing with health threats impact fear of PA via symptom perception.
Methods and results: This cross-sectional study enrolled 185 HF outpatients from five hospitals (mean age 62 ± 11 years, mean ejection fraction 36.0 ± 12%, 24% women). Avoidance of PA, sports/exercise participation (yes/no) and the psychological characteristics were assessed by self-reports. Fear of PA was assessed by the Fear of Activity in Situations–Heart Failure (FActS-HF15) questionnaire. In multivariable regression analyses higher NYHA class (b = 0.26, p = 0.036) and a higher number of HF drugs including antidepressants (b = 0.25, p = 0.017) were independently associated with higher fear of PA, but not with heart-focused fear and trait anxiety. Of the three anxiety scores only increased fear of PA was independently associated with more avoidance behavior regarding PA (b = 0.45, SE = 0.06, p < 0.001) and with increased odds of no sports/exercise participation (OR = 1.34, 95% CI 1.03–1.74, p = 0.028). Attention towards cardiac symptoms and symptom distress were positively associated with fear of PA (p < 0.001), which explained higher fear of PA in patients with a vigilant (directing attention towards health threats) coping style (p = 0.004).
Conclusions: Fear of PA assessed by the FActS-HF15 is a specific type of anxiety in patients with HF. Attention towards and being distressed by HF symptoms appear to play a central role in fear of PA, particularly in vigilant patients who are used to direct their attention towards health threats. These findings provide approaches for tailored interventions to reduce fear of PA and to increase PA in patients with HF.
The turnover and stabilization of organic matter (OM) in soils depend on mass and energy fluxes. Understanding the energy content of soil organic matter (SOM) is therefore of crucial importance, but this has hardly been studied so far, especially in mineral soils. In this study, combustion calorimetry (bomb calorimetry) was applied to determine the energy content (combustion enthalpy, ΔCH) of various materials: litter inputs, forest floor layers (OL, OF, OH), and bulk soil and particulate organic matter (POM) from topsoils (0–5 cm). Samples were taken from 35-year-old monocultural stands of Douglas fir (Pseudotsuga menziesii), black pine (Pinus nigra), European beech (Fagus sylvatica), and red oak (Quercus rubra) grown under highly similar soil, landscape and boundary conditions. This allowed to investigate the influence of the degree of transformation and litter quality on the ΔCH of SOM. Tree species fuel the soil C cycle with high-energy litter (38.9 ± 1.1 kJ g−1C) and fine root biomass (35.9 ± 1.1 kJ g−1C). As plant material is transformed to SOM, ΔCH decreases in the order: OL (36.8 ± 1.6 kJ g−1C) ≥ OF (35.9 ± 3.7 kJ g−1C) > OH (30.6 ± 7.0 kJ g−1C) > 0–5 cm bulk soil (22.9 ± 8.2 kJ g−1C). It indicates that the energy content of OM decreases with transformation and stabilization, as microorganisms extract energy from organic compounds for growth and maintenance, resulting in lower-energy bulk SOM. The POM fraction has 1.6-fold higher ΔCH compared to the bulk SOM. Tree species significantly affect ΔCH of SOM in the mineral soil with the lowest values under beech (12.7 ± 3.4 kJ g−1C). The energy contents corresponded to stoichiometric and isotopic parameters as proxies for the degree of transformation. In conclusion, litter quality, in terms of elemental composition and energy content, defines the pathway and degree of the energy-driven microbially mediated transformation and stabilization of SOM.
In the present study, we tested whether processing information in the context of an ancestral survival scenario enhances episodic memory performance in older adults and in stroke patients. In an online study (Experiment 1), healthy young and older adults rated words according to their relevance to an ancestral survival scenario, and subsequent free recall performance was compared to a pleasantness judgment task and a moving scenario task in a within-subject design. The typical survival processing effect was replicated: Recall rates were highest in the survival task, followed by the moving and the pleasantness judgment task. Although older adults showed overall lower recall rates, there was no evidence for differences between the age groups in the condition effects. Experiment 2 was conducted in a neurological rehabilitation clinic with a sample of patients who had suffered from a stroke within the past 5 months. On the group level, Experiment 2 revealed no significant difference in recall rates between the three conditions. However, when accounting for overall memory abilities and executive function, independently measured in standardized neuropsychological tests, patients showed a significant survival processing effect. Furthermore, only patients with high executive function scores benefitted from the scenario tasks, suggesting that intact executive function may be necessary for a mnemonic benefit. Taken together, our results support the idea that the survival processing task – a well-studied task in the field of experimental psychology – may be incorporated into a strategy to compensate for memory dysfunction.
The viviparous eelpout Zoarces viviparus is a common fish across the North Atlantic and has successfully colonized habitats across environmental gradients. Due to its wide distribution and predictable phenotypic responses to pollution, Z. viviparus is used as an ideal marine bioindicator organism and has been routinely sampled over decades by several countries to monitor marine environmental health. Additionally, this species is a promising model to study adaptive processes related to environmental change, specifically global warming. Here, we report the chromosome-level genome assembly of Z. viviparus, which has a size of 663 Mb and consists of 607 scaffolds (N50 = 26 Mb). The 24 largest represent the 24 chromosomes of the haploid Z. viviparus genome, which harbors 98% of the complete Benchmarking Universal Single-Copy Orthologues defined for ray-finned fish, indicating that the assembly is highly contiguous and complete. Comparative analyses between the Z. viviparus assembly and the chromosome-level genomes of two other eelpout species revealed a high synteny, but also an accumulation of repetitive elements in the Z. viviparus genome. Our reference genome will be an important resource enabling future in-depth genomic analyses of the effects of environmental change on this important bioindicator species.
What does it mean when the future of one’s life is exposed to the inscrutable will of an intangible other? And what are the possibilities of still asserting oneself when pushed to the limit? Nuancing the feelings of different actors in a detention centre and analysing how everyday moods, affects and violence intertwine, I explore how the randomly cruel and often-inexplicable logic of the contemporary deportation regime pushes migrants to their limits. Taking as my starting point the argument that deportation practices are effective because they operate on an affective level, I show how affective experiences manifest themselves bodily and how violent practices and discourses reverberate in bodies. I argue that ‘bodies under pressure’ are testimonies of racialised histories of exclusion, and I show how they become calls for social recognition. Exploring small, often-unintended acts of rebellion against exhausting deportation practices, I stress the existential necessity and social importance of including oneself in the realm of meaning.
Introduction: Conventional agricultural land-use may negatively impact biodiversity and the environment due to the increased disturbances to the soil ecosystem by tillage, for example. Cultivation of the perennial grain intermediate wheatgrass (Thinopyrum intermedium, IWG, Kernza®) is a nature-based solution for sustainable agriculture, improving nutrient retention mainly through its extensive root system. Nematodes serve as sensitive bioindicators, detecting early changes in the soil food web, reflecting in changes in their community structure.
Materials and Methods:IWG and annual wheat sites in South France, Belgium and South Sweden were investigated in April 2022 for two depths (5–15 cm; 25–35 cm) to evaluate the difference in nematode community structure among the cropping systems.
Results: Sites with IWG cultivation held an accumulation of structure indicators (c-p 3–5 nematodes) compared to sites with annual wheat cultivation. A generalised linear mixed model revealed significantly more root feeders, especially for the subsoil, under IWG as a result of the perennial cultivation. The maturity index, plant-parasitic index, channel index and structure index were greater for IWG sites. The enrichment index was greater for annual wheat sites due to the dominance of bacterivores and enrichment indicators (c-p 1 nematodes). The nematode community structure (weighted faunal profile analysis) indicates IWG sites as being a generally undisturbed system with efficient nutrient cycling and balanced distribution of feeding types, as well as higher metabolic footprint values for root feeders (including plant-parasitic nematodes) and fungivores. Annual wheat sites, on the other hand, held indicators of a disturbed system with increased occurrence of opportunistic species and a more bacterial driven pathway. The topsoil had an increased occurrence of structure indicators in both cropping systems.
Conclusion: IWG creates favourable conditions for a diverse food web, including improved nutrient cycling and a heterogeneous resource environment, regardless of climatic conditions, establishing it as a stable and resilient agricultural management system.
Older adults who worry about their own cognitive capabilities declining, but who do not show evidence of actual cognitive decline in neuropsychological tests, are at an increased risk of being diagnosed with dementia at a later time. Since neural markers may be more sensitive to early stages of cognitive decline, in the present study we examined whether event-related potential responses
of feedback processing, elicited in a probabilistic learning task, differ between healthy older adults recruited from the community, who either did (subjective cognitive decline/SCD-group) or did not report (No-SCD group) worry about their own cognition declining beyond the normal age-related development. In the absence of group differences in learning from emotionally charged feedback in the probabilistic learning task, the amplitude of the feedback-related negativity (FRN) varied with feedback valence differently in the two groups: In the No-SCD group, the FRN was larger for positive than negative feedback, while in the SCD group, FRN amplitude did not differ between positive and negative feedback. The P3b was enhanced for negative feedback in both groups, and group differences in P3b amplitude were not significant. Altered sensitivity in neural processing of negative versus positive feedback may be a marker of SCD.
Introduction: This study examined the sources and factors of resilience in Russian sexual and gender minorities. We hypothesized that, through their involvement in the lesbian, gay, bisexual, and transgender (LGBT) community (source of resilience), LGBT people establish friendships that provide them with social support (factor of resilience), which in turn should contribute to their mental health.
Method: The study sample consisted of 1,127 young and middle-aged LGBT adults (18 to 50 years) from Russia. We collected the data online and anonymously. Results: Partial mediation could be confirmed. LGBT people who were involved in “their” community reported more social support from friends, which partially mediated the positive association between community involvement and mental health. The mediation remained significant when we controlled for demographics and outness as potential covariates. Additional analyses showed that the present sample reported lower mental health but not less social support than Russian nonminority samples recruited in previous research.
Conclusion: Our study underlines the importance of the LGBT community in times of increasing stigmatization of sexual and gender minorities.
Introduction: Across various cultural contexts, success in goal realization relates to individuals’ well-being. Moreover, commitment to and successful pursuance of goals are crucial when searching for a meaningful identity in adolescence. However, individuals’ goals differ in how much they match their implicit motive dispositions. We hypothesized that successful pursuance of affiliation goals positively relates to commitment-related dimensions of interpersonal identity development (domain: close friends) that, in turn, predict adolescents’ level of well-being. However, we further assumed that the links between goal success and identity commitment are particularly pronounced among adolescents who are characterized by a high implicit affiliation motive.
Methods: To scrutinize the generalizability of the assumed relationships, data were assessed among adolescents in individualistic (Germany) and collectivistic (Zambia) cultural contexts.
Results: Regardless of adolescents’ cultural background, we found that commitment-related dimensions of interpersonal identity development mediate the link between successful attainment of affiliation goals and well-being, particularly among adolescents with a pronounced implicit affiliation motive; that is, the strength of the implicit affiliation motive moderates the association
between goal success and identity commitment.
Conclusion: We discuss findings concerning universal effects of implicit motives on identity commitment and well-being.
The cold pressor test (CPT) elicits strong cardiovascular reactions via activation of the sympathetic nervous system (SNS), yielding subsequent increases in heart rate (HR) and blood pressure (BP). However, little is known on how exposure to the CPT affects cardiac ventricular repolarization. Twenty-eight healthy males underwent both a bilateral feet CPT and a warm water (WW) control condition on two separate days, one week apart. During pre-stress baseline and stress induction cardiovascular signals (ECG lead II, Finometer BP) were monitored continuously. Salivary cortisol and subjective stress ratings were assessed intermittently. Corrected QT (QTc) interval length and T-wave amplitude (TWA) were assessed for each heartbeat and subsequently aggregated individually over baseline and stress phases, respectively. CPT increases QTc interval length and elevates the TWA. Stress-induced changes in cardiac repolarization are only in part and weakly correlated with cardiovascular and cortisol stress-reactivity. Besides its already well-established effects on cardiovascular, endocrine, and subjective responses, CPT also impacts on cardiac repolarization by elongation of QTc interval length and elevation of TWA. CPT effects on cardiac repolarization share little variance with the other indices of stress reactivity, suggesting a potentially incremental value of this parameter for understanding psychobiological adaptation to acute CPT stress.
Mindfulness is a popular technique that helps people to get closer to their self. However, recent findings indicate that mindfulness may not benefit everybody. In the present research, we hypothesized that mindfulness promotes alienation from the self among individuals with low abilities to self-regulate affect (state-oriented individuals) but not among individuals with high abilities to self-regulate affect (action-oriented individuals). In two studies with participants who were mostly naïve to mindfulness practices (70% indicated no experience; N1 = 126, 42 men, 84 women, 0 diverse, aged 17–86 years, Mage = 31.87; N2 = 108, 30 men, 75 women, 3 diverse, aged 17–69 years, Mage = 28.00), we tested a mindfulness group (five-minute mindfulness exercise) against a control group (five-minute text reading). We operationalized alienation as lower consistency in repeated preference judgments and a lower tendency to adopt intrinsic over extrinsic goal recommendations. Results showed that, among state-oriented participants, mindfulness led to significantly lower consistency of preference judgments (Study 1) and lower adoption of intrinsic over extrinsic goals (Study 2) compared to text reading. The alienating effect was absent among action-oriented participants. Thus, mindfulness practice may alienate psychologically vulnerable people from their self and hamper access to preferences and intrinsic goals. We discuss our findings within Personality-Systems-Interactions (PSI) theory.
Using validated stimulus material is crucial for ensuring research comparability and replicability. However, many databases rely solely on bidimensional valence ratings, ranging from negative to positive. While this material might be appropriate for certain studies, it does not reflect the complexity of attitudes and therefore might hamper the unambiguous interpretation of some study results. In fact, most databases cannot differentiate between neutral (i.e., neither positive nor negative) and ambivalent (i.e., simultaneously positive and negative) attitudes. Consequently, even presumably univalent (only positive or negative) stimuli cannot be clearly distinguished from ambivalent ones when selected via bipolar rating scales. In the present research, we introduce the Trier Univalence Neutrality Ambivalence (TUNA) database, a database containing 304,262 validation ratings from heterogeneous samples of 3,232 participants and at least 20 (M = 27.3, SD = 4.84) ratings per self-report scale per picture for a variety of attitude objects on split semantic differential scales. As these scales measure positive and negative evaluations independently, the TUNA database allows to distinguish univalence, neutrality, and ambivalence (i.e., potential ambivalence). TUNA also goes beyond previous databases by validating the stimulus materials on affective outcomes such as experiences of conflict (i.e., felt ambivalence), arousal, anger, disgust, and empathy. The TUNA database consists of 796 pictures and is compatible with other popular databases. It sets a focus on food pictures in various forms (e.g., raw vs. cooked, non-processed vs. highly processed), but includes pictures of other objects that are typically used in research to study univalent (e.g., flowers) and ambivalent (e.g., money, cars) attitudes for comparison. Furthermore, to facilitate the stimulus selection the TUNA database has an accompanying desktop app that allows easy stimulus selection via a ultitude of filter options.
Environmental DNA (eDNA) metabarcoding promises to be a cost- and time-efficient monitoring tool to detect interactions of arthropods with plants. However, observation-based verification of the eDNA-derived data is still required to confirm the reliability of those detections, i.e., to verify whether the arthropods have previously interacted with the plant. Here, we conducted a comparative analysis of the performance of eDNA metabarcoding and video camera observations to detect arthropod communities associated with sunflowers (Helianthus annuus, L.). We compared the taxonomic composition, interaction type, and diversity by testing for an effect of arthropod interaction time and occupancy on successful taxon recovery by eDNA. We also tested if prewashing of the flowers successfully removed eDNA deposition from before the video camera recording, thus enabling a reset of the community for standardized monitoring. We find that eDNA and video camera observations recovered distinct communities, with about a quarter of the arthropod families overlapping. However, the overlapping taxa comprised ~90% of the interactions observed by the video camera. Interestingly, eDNA metabarcoding recovered more unique families than the video cameras, but approximately two-thirds of those unique observations were of rare species. The eDNA-derived families were biased toward plant sap-suckers, showing that such species may deposit more eDNA than, for example, transient pollinators. We also find that prewashing of the flower heads did not suffice to remove all eDNA traces, suggesting that eDNA on plants may be more temporally stable than previously thought. Our work highlights the great potential of eDNA as a tool to detect plant-arthropod interactions, particularly for specialized and frequently interacting taxa.
The French Enlightenment is a pivotal period in European intellectual and literary history, which can be studied through this dataset of French novels first published between 1751 and 1800. This collection contains 200 French novels in TEI/XML, encoded according to the ‘level-1 schema’ of the European Literary Text Collection (ELTeC), and carefully compiled to reflect the known historical publication of French Novels in that period regarding publication year, gender of author and narrative form. The dataset is connected to a bigger knowledge graph of 331,671 Resource Description Framework triples (RDF) built within the project ‘Mining and Modeling Text’ at Trier University, Germany (2019–2023).
Amphibians globally suffer from emerging infectious diseases like chytridiomycosis caused by the continuously spreading chytrid fungi. One is Batrachochytrium salamandrivorans (Bsal) and its disease ‒ the ‘salamander plague’ ‒ which is lethal to several caudate taxa. Recently introduced into Western Europe, long distance dispersal of Bsal, likely through human mediation, has been reported. Herein we study if Alpine salamanders (Salamandra atra and S. lanzai) are yet affected by the salamander plague in the wild. Members of the genus Salamandra are highly susceptible to Bsal leading to the lethal disease. Moreover, ecological modelling has shown that the Alps and Dinarides, where Alpine salamanders occur, are generally suitable for Bsal. We analysed skin swabs of 818 individuals of Alpine salamanders and syntopic amphibians at 40 sites between 2017 to 2022. Further, we compiled those with published data from 319 individuals from 13 sites concluding that Bsal infections were not detected. Our results suggest that the salamander plague so far is absent from the geographic ranges of Alpine salamanders. That means that there is still a chance to timely implement surveillance strategies. Among others, we recommend prevention measures, citizen science approaches, and ex situ conservation breeding of endemic salamandrid lineages.
Globalization significantly transforms labor markets. Advances in production technologies, transportation, and political integration reshape how and where goods and services are produced. Local economic conditions and diverse policy responses create varying speeds of change, affecting regions' attractiveness for living and working -- and promoting mobility.
Competition for talent necessitates a deep understanding of why individuals choose specific destinations, how to ensure their effective labor market integration, and what workplace factors affect workers' well-being.
This thesis focuses on two crucial aspects of labor market change -- Migration and workplace technological change. It contributes to our understanding of the determinants of labor mobility, the factors facilitating migrant integration, and the role of workplace automation for worker well-being.
Chapter 2 investigates the relationship between minimum wages (MWs) and regional worker mobility in the EU. EU citizens are free to work anywhere in the common market, which allows them to take advantage of the significant variation in MWs across the EU. However, although MWs are set at the national level, it is also their local relevance that varies substantially -- depending on factors such as the share of affected workers or the extent to which they shift local compensation levels. These variations may attract workers from elsewhere, from within a country or from abroad.
Analyzing regional variations in the Kaitz index, a measure of local MW impact, reveals that higher MWs can significantly increase inflows of low-skilled EU workers, particularly in central Europe.
Chapter 3 examines the inequality in returns to skills experienced by immigrants, focusing on the role of linguistic proximity between migrants' origin and destination countries. Harmonized individual-level data from nine linguistically diverse migrant-hosting economies allows for an analysis of the wage gaps faced by immigrants from various origins, implicitly indicating how well they and their skills are integrated into the local labor markets. The analysis reveals that greater linguistic distance is associated with a higher wage penalty for highly skilled immigrants and a lower position in the wage distribution for those without tertiary education.
Chapter 4 investigates an institutional factor potentially relevant for the integration of immigrants -- the labor market impact of Confucius Institutes (CIs), Chinese government-sponsored institutions that promote Chinese language and culture abroad. CIs have been found to foster trade and cultural exchange, indicating their potential relevance in shaping attitudes and trust of natives towards China and Chinese individuals. Examining the relationship between local CI presence and the wages of Chinese immigrants in local labor markets of the United States, the analysis reveals that CIs associate with significantly reduced wages for nearby residing Chinese immigrants. An event study demonstrates that the mere announcement of a new CI negatively impacts local wages for Chinese immigrants, independent of the CI's actual opening.
Chapter 5 explores how working in automatable jobs affects life satisfaction in Germany. Following earlier literature, we classify occupations by potential for automation, and define the top third of occupations in this metric as \textit{automatable jobs}. We find workers in highly automatable jobs reporting a lower life satisfaction. Moreover, we detect a non-linearity, where workers in moderately automatable jobs (the second third of the distribution) experience a positive association with life satisfaction. Overall, the negative relationship of automation is most pronounced among younger and blue-collar workers, irrespective of the non-linearity.
Ensuring fairness in machine learning models is crucial for ethical and unbiased automated decision-making. Classifications from fair machine learning models should not discriminate against sensitive variables such as sexual orientation and ethnicity. However, achieving fairness is complicated by biases inherent in training data, particularly when data is collected through group sampling, like stratified or cluster sampling as often occurs in social surveys. Unlike the standard assumption of independent observations in machine learning, clustered data introduces correlations that can amplify biases, especially when cluster assignment is linked to the target variable.
To address these challenges, this cumulative thesis focuses on developing methods to mitigate unfairness in machine learning models. We propose a fair mixed effects support vector machine algorithm, a Cluster-Regularized Logistic Regression and a fair Generalized Linear Mixed Model based on boosting, all of them are capable of handling both grouped data and fairness constraints simultaneously. Additionally, we introduce a Julia package, FairML.jl, which provides a comprehensive framework for addressing fairness issues. This package offers a preprocessing technique, based on resampling methods, to mitigate biases in the data, as well as a post-processing method, that seeks for a optimal cut-off selection.
To improve fairness in classifications both processes can be incorporated in any classification method available in the MLJ.jl package. Furthermore, FairML.jl incorporates in-processing approaches, such as optimization-based techniques for logistic regression and support vector machine, to directly address fairness during model training in regular and mixed models.
By accounting for data complexities and implementing various fairness-enhancing strategies, our work aims to contribute to the development of more equitable and reliable machine learning models.
This paper presents the results of the human-robot interaction (HRI) study with German native speakers addressing the robot in their L1 and in L2 English. The aim of the experiment is to test the strategies of providing clarifications when talking to the voice assistant in a task involving teaching complex vocabulary. The analyses is based on spectral (F1, F2, and mean F0) and temporal (vowel length) features excerpted from the target words. With reference to a theoretical framework of hyperarticulation and hypoarticulation, these acoustic measures were compared across the iterations of the target words (first vs. second iteration). Results showed that participants, when asked for clarification by an inanimate interlocutor, do not hyperarticulate, but try to preserve the surface representation of target words across the iterations. These findings suggest that acoustic characteristics of clarifications directed to voice assistants differ from the ones directed to human interlocutors.
This dissertation addresses the measurement and evaluation of the energy and resource efficiency of software systems. Studies show that the environmental impact of Information and Communications Technologies (ICT) is steadily increasing and is already estimated to be responsible for 3 % of the total greenhouse gas (GHG) emissions. Although it is the hardware that consumes natural resources and energy through its production, use, and disposal, software controls the hardware and therefore has a considerable influence on the used capacities. Accordingly, it should also be attributed a share of the environmental impact. To address this softwareinduced impact, the focus is on the continued development of a measurement and assessment model for energy and resource-efficient software. Furthermore, measurement and assessment methods from international research and practitioner communities were compared in order to develop a generic reference model for software resource and energy measurements. The next step was to derive a methodology and to define and operationalize criteria for evaluating and improving the environmental impact of software products. In addition, a key objective is to transfer the developed methodology and models to software systems that cause high consumption or offer optimization potential through economies of scale. These include, e. g., Cyber-Physical Systems (CPS) and mobile apps, as well as applications with high demands on computing power or data volumes, such as distributed systems and especially Artificial Intelligence (AI) systems.
In particular, factors influencing the consumption of software along its life cycle are considered. These factors include the location (cloud, edge, embedded) where the computing and storage services are provided, the role of the stakeholders, application scenarios, the configuration of the systems, the used data, its representation and transmission, or the design of the software architecture. Based on existing literature and previous experiments, distinct use cases were selected that address these factors. Comparative use cases include the implementation of a scenario in different programming languages, using varying algorithms, libraries, data structures, protocols, model topologies, hardware and software setups, etc. From the selection, experimental scenarios were devised for the use cases to compare the methods to be analyzed. During their execution, the energy and resource consumption was measured, and the results were assessed. Subtracting baseline measurements of the hardware setup without the software running from the scenario measurements makes the software-induced consumption measurable and thus transparent. Comparing the scenario measurements with each other allows the identification of the more energyefficient setup for the use case and, in turn, the improvement/optimization of the system as a whole. The calculated metrics were then also structured as indicators in a criteria catalog. These indicators represent empirically determinable variables that provide information about a matter that cannot be measured directly, such as the environmental impact of the software. Together with verification criteria that must be complied with and confirmed by the producers of the software, this creates a model with which the comparability of software systems can be established.
The gained knowledge from the experiments and assessments can then be used to forecast and optimize the energy and resource efficiency of software products. This enables developers, but also students, scientists and all other stakeholders involved in the life cycleof software, to continuously monitor and optimize the impact of their software on energy and resource consumption. The developed models, methods, and criteria were evaluated and validated by the scientific community at conferences and workshops. The central outcomes of this thesis, including a measurement reference model and the criteria catalog, were disseminated in academic journals. Furthermore, the transfer to society has been driven forward, e. g., through the publication of two book chapters, the development and presentation of exemplary best practices at developer conferences, collaboration with industry, and the establishment of the eco-label “Blue Angel” for resource and energy-efficient software products. In the long term, the objective is to effect a change in societal attitudes and ultimately to achieve significant resource savings through economies of scale by applying the methods in the development of software in general and AI systems in particular.
The gender wage gap in labor market outcomes has been intensively investigated for decades, yet it remains a relevant and innovative research topic in labor economics. Chapter 2 of this dissertation explores the pressing issue of gender wage disparity in Ethiopia. By applying various empirical methodologies and measures of occupational segregation, this chapter aims to analyze the role of female occupational segregation in explaining the gender wage gap across the pay distribution. The findings reveal a significant difference in monthly wages, with women consistently earning lower wages across the wage distribution.
Importantly, the result indicates a negative association between female occupational segregation and the average earnings of both men and women. Furthermore, the estimation result shows that female occupational segregation partially explains the gender wage gap at the bottom of the wage distribution. I find that the magnitude of the gender wage gap in the private sector is higher than in the public sector.
In Chapter 3, the Ethiopian Demography and Health Survey data are leveraged to explore the causal relationship between female labor force participation and domestic violence. Domestic violence against women is a pervasive public health concern, particularly in Africa, including Ethiopia, where a significant proportion of women endure various forms of domestic violence perpetrated by intimate partners. Economic empowerment of women through increased participation in the labor market can be one of the mechanisms for mitigating the risk of domestic violence.
This study seeks to provide empirical evidence supporting this hypothesis. Using the employment rate of women at the community level as an instrumental variable, the finding suggests that employment significantly reduces the risk of domestic violence against women. More precisely, the result shows that women’s employment status significantly reduces domestic violence by about 15 percentage points. This finding is robust for different dimensions of domestic violence, such as physical, sexual, and emotional violence.
By examining the employment outcomes of immigrants in the labor market, Chapter 4 extends the dissertation's inquiry to the dynamics of immigrant economic integration into the destination country. Drawing on data from the German Socio-Economic Panel, the chapter scrutinizes the employment gap between native-born individuals and two distinct groups of first-generation immigrants: refugees and other migrants. Through rigorous analysis, Chapter 4 aims to identify the factors contributing to disparities in employment outcomes among these groups. In this chapter, I aim to disentangle the heterogeneity characteristic of refugees and other immigrants in the labor market, thereby contributing to a deeper understanding of immigrant labor market integration in Germany.
The results show that refugees and other migrants are less likely to find employment than comparable natives. The refugee-native employment gap is much wider than other migrant-native employment gap. Moreover, the findings vary by gender and migration categories. While other migrant men do not differ from native men in the probability of being employed, refugee women are the most disadvantaged group compared to other migrant women and native women in the probability of being employed. The study suggests that German language proficiency and permanent resident permits partially explain the lower employment probability of refugees in the German labor market.
Chapter 5 (co-authored with Uwe Jirjahn) utilizes the same dataset to explore the immigrant-native trade union membership gap, focusing on the role of integration in the workplace and into society. The integration of immigrants into society and the workplace is vital not only to improve migrant's performance in the labor market but also to actively participate in institutions such as trade unions. In this study, we argue that the incomplete integration of immigrants into the workplace and society implies that immigrants are less likely to be union members than natives. Our findings show that first-generation immigrants are less likely to be trade union members than natives. Notably, the analysis shows that the immigrant-native gap in union membership depends on immigrants’ integration into the workplace and society. The gap is smaller for immigrants working in firms with a works council and having social contacts with Germans. Moreover, the results reveal that the immigrant-native union membership gap is decreasing in the year since arrival in Germany.
Although universality has fascinated over the last decades, there are still numerous open questions in this field that require further investigation. In this work, we will mainly focus on classes of functions whose Fourier series are universal in the sense that they allow us to approximate uniformly any continuous function defined on a suitable subset of the unit circle.
The structure of this thesis is as follows. In the first chapter, we will initially introduce the most important notation which is needed for our following discussion. Subsequently, after recalling the notion of universality in a general context, we will revisit significant results concerning universality of Taylor series. The focus here is particularly on universality with respect to uniform convergence and convergence in measure. By a result of Menshov, we will transition to universality of Fourier series which is the central object of study in this work.
In the second chapter, we recall spaces of holomorphic functions which are characterized by the growth of their coefficients. In this context, we will derive a relationship to functions on the unit circle via an application of the Fourier transform.
In the second part of the chapter, our attention is devoted to the $\mathcal{D}_{\textup{harm}}^p$ spaces which can be viewed as the set of harmonic functions contained in the $W^{1,p}(\D)$ Sobolev spaces. In this context, we will also recall the Bergman projection. Thanks to the intensive study of the latter in relation to Sobolev spaces, we can derive a decomposition of $\mathcal{D}_{\textup{harm}}^p$ spaces which may be seen as analogous to the Riesz projection for $L^p$ spaces. Owing to this result, we are able to provide a link between $\mathcal{D}_{\textup{harm}}^p$ spaces and spaces of holomorphic functions on $\mathbb{C}_\infty \setminus \s$ which turns out to be a crucial step in determining the dual of $\mathcal{D}_{\textup{harm}}^p$ spaces.
The last section of this chapter deals with the Cauchy dual which has a close connection to the Fantappié transform. As an application, we will determine the Cauchy dual of the spaces $D_\alpha$ and $D_{\textup{harm}}^p$, two results that will prove to be very helpful later on. Finally, we will provide a useful criterion that establishes a connection between the density of a set in the direct sum $X \oplus Y$ and the Cauchy dual of the intersection of the respective spaces.
The subsequent chapter will delve into the theory of capacities and, consequently, potential theory which will prove to be essential in formulating our universality results. In addition to introducing further necessary terminologies, we will define capacities in the first section following [16], however in the frame of separable metric spaces, and revisit the most important results about them.
Simultaneously, we make preparations that allow us to define the $\mathrm{Li}_\alpha$-capacity which will turn out to be equivalent to the classical Riesz $\alpha$-capacity. The $\mathrm{Li}_\alpha$-capacity proves to be more adapted to the $D_\alpha$ spaces. It becomes apparent in the course of our discussion that the $\mathrm{Li}_\alpha$-capacity is essential to prove uniqueness results for the class $D_\alpha$. This leads to the centerpiece of this chapter which forms the energy formula for the $\mathrm{Li}_\alpha$-capacity on the unit circle. More precisely, this identity establishes a connection between the energy of a measure and its corresponding Fourier coefficients. We will briefly deal with the complement-equivalence of capacities before we revisit the concept of Bessel and Riesz capacities, this time, however, in a much more general context, where we will mainly rely on [1]. Since we defined capacities on separable metric spaces in the first section, we can draw a connection between Bessel capacities and $\mathrm{Li}_\alpha$-capacities. To conclude this chapter, we would like to take a closer look at the geometric meaning of capacities. Here, we will point out a connection between the Hausdorff dimension and the polarity of a set, and transfer it to the $\mathrm{Li}_\alpha$-capacity. Another aspect will be the comparison of Bessel capacities across different dimensions, in which the theory of Wolff potentials crystallizes as a crucial auxiliary tool.
In the fourth chapter of this thesis, we will turn our focus to the theory of sets of uniqueness, a subject within the broader field of harmonic analysis. This theory has a close relationship with sets of universality, a connection that will be further elucidated in the upcoming chapter.
The initial section of this chapter will be dedicated to the notion of sets of uniqueness that is specifically adapted to our current context. Building on this concept, we will recall some of the fundamental results of this theory.
In the subsequent section, we will primarily rely on techniques from previous chapters to determine the closed sets of uniqueness for the class $\mathcal{D}_{\alpha}$. The proofs we will discuss are largely influenced by [16, p.\ 178] and [9, pp.\ 82].
One more time, it will become evident that the introduction of the $\mathrm{Li}_\alpha$-capacity in the third chapter and the closely associated energy formula on the unit circle, were the pivotal factors that enabled us to carry out these proofs.
In the final chapter of our discourse, we will present our results on universality. To begin, we will recall a version of the universality criterion which traces back to the work of Grosse-Erdmann (see [26]). Coupled with an outcome from the second chapter, we will prove a result that allows us to obtain the universality of a class using the technique of simultaneous approximation. This tool will play a key role in the proof of our universality results which will follow hereafter.
Our attention will first be directed toward the class $D_\alpha$ with $\alpha$ in the interval $(0,1]$. Here, we summarize that universality with respect to uniform convergence occurs on closed and $\alpha$-polar sets $E \subset \s$. Thanks to results of Carleson and further considerations, which particularly rely on the favorable behavior of the $\mathrm{Li}_\alpha$-kernel, we also find that this result is sharp. In particular, it may be seen as a generalization of the universality result for the harmonic Dirichlet space.
Following this, we will investigate the same class, however, this time for $\alpha \in [-1,0)$. In this case, it turns out that universality with respect to uniform convergence occurs on closed and $(-\alpha)$-complement-polar sets $E \subset \s$. In particular, these sets of universality can have positive arc measure. In the final section, we will focus on the class $D_{\textup{harm}}^p$. Here, we manage to prove that universality occurs on closed and $(1,p)$-polar sets $E \subset \s$. Through results of Twomey [68] combined with an observation by Girela and Pélaez [23], as well as the decomposition of $D_{\textup{harm}}^p$, we can deduce that the closed sets of universality with respect to uniform convergence of the class $D_{\textup{harm}}^p$ are characterized by $(1,p)$-polarity. We conclude our work with an application of the latter result to the class $D^p$. We will show that the closed sets of divergence for the class $D^p$ are given by the $(1,p)$-polar sets.
Convex Duality in Consumption-Portfolio Choice Problems with Epstein-Zin Recursive Preferences
(2025)
This thesis deals with consumption-investment allocation problems with Epstein-Zin recursive utility, building upon the dualization procedure introduced by [Matoussi and Xing, 2018]. While their work exclusively focuses on truly recursive utility, we extend their procedure to include time-additive utility using results from general convex analysis. The dual problem is expressed in terms of a backward stochastic differential equation (BSDE), for which existence and uniqueness results are established. In this regard, we close a gap left open in previous works, by extending results restricted to specific subsets of parameters to cover all parameter constellations within our duality setting.
Using duality theory, we analyze the utility loss of an investor with recursive preferences, that is, her difference in utility between acting suboptimally in a given market, compared to her best possible (optimal) consumption-investment behaviour. In particular, we derive universal power utility bounds, presenting a novel and tractable approximation of the investors’ optimal utility and her welfare loss associated to specific investment-consumption choices. To address quantitative shortcomings of those power utility bounds, we additionally introduce one-sided variational bounds that offer a more effective approximation for recursive utilities. The theoretical value of our power utility bounds is demonstrated through their application in a new existence and uniqueness result for the BSDE characterizing the dual problem.
Moreover, we propose two approximation approaches for consumption-investment optimization problems with Epstein-Zin recursive preferences. The first approach directly formalizes the classical concept of least favorable completion, providing an analytic approximation fully characterized by a system of ordinary differential equations. In the special case of power utility, this approach can be interpreted as a variation of the well-known Campbell-Shiller approximation, improving some of its qualitative shortcomings with respect to state dependence of the resulting approximate strategies. The second approach introduces a PDE-iteration scheme, by reinterpreting artificial completion as a dynamic game, where the investor and a dual opponent interact until reaching an equilibrium that corresponds to an approximate solution of the investors optimization problem. Despite the need for additional approximations within each iteration, this scheme is shown to be quantitatively and qualitatively accurate. Moreover, it is capable of approximating high dimensional optimization problems, essentially avoiding the curse of dimensionality and providing analytical results.