Filtern
Erscheinungsjahr
- 2018 (39) (entfernen)
Dokumenttyp
- Dissertation (39) (entfernen)
Schlagworte
- Finanzierung (3)
- Mathematik (3)
- Stress (3)
- Erhebungsverfahren (2)
- Japan (2)
- Numerische Mathematik (2)
- Näherungsverfahren (2)
- Operatortheorie (2)
- Optimierung (2)
- Quadratische Optimierung (2)
Institut
- Mathematik (7)
- Fachbereich 4 (6)
- Psychologie (5)
- Fachbereich 2 (3)
- Raum- und Umweltwissenschaften (3)
- Fachbereich 1 (2)
- Computerlinguistik und Digital Humanities (1)
- Fachbereich 3 (1)
- Fachbereich 6 (1)
- Informatik (1)
Die qualifizierte Zuwanderung nach Deutschland wird als eine Möglichkeit angesehen, um bestehenden und drohenden Fachkräfteengpässen entgegen zu wirken. Dementsprechend hat auch die Bundesregierung in den letzten Jahren Maßnahmen zur Fachkräftesicherung durch Zugewanderte ergriffen (wie z.B. Gesetz zur Verbesserung der Feststellung und Anerkennung im Ausland erworbener Berufsqualifikationen (kurz: Anerkennungsgesetz), Neue Beschäftigungsverordnung, Blaue Karte EU). Ob eine erfolgreiche Integration in den Arbeitsmarkt jedoch letztendlich gelingt, ist sehr stark von den betrieblichen Entscheidungen bei der Stellenbesetzung und damit dem direkten Zugang zum Arbeitsmarkt abhängig. Angesichts der getroffenen politischen Maßnahmen widmet sich diese Dissertation daher der Frage, inwiefern die Betriebe in Deutschland die Möglichkeit, offene Stellen mit ausländischen Fachkräften zu besetzen, auch wahrnehmen. Von Interesse sind die Faktoren, die die Beschäftigungswahrscheinlichkeit von ausländischen Fachkräften in deutschen Betrieben erhöhen und in den Rekrutierungsentscheidungen als ausschlaggebend gelten. Um zu evaluieren, inwiefern sich, erstens, Vorbehalte von Personalentscheidern gegenüber ausländischen Abschlüssen und, zweitens, Erfahrungen mit den Möglichkeiten, die das Anerkennungsgesetz bietet, auf die Beschäftigungschancen von Bildungsausländern auswirken, werden im ersten empirischen Teil der Arbeit dahingehend Analysen auf Basis repräsentativer Daten der Betriebsbefragung des BIBB-Anerkennungsmonitorings durchgeführt. Dabei werden zusätzlich die Einflüsse von betrieblich erfahrenen und erwarteten Fachkräfteengpässen der Betriebe auf die Beschäftigungschancen ausländischer Fachkräfte analysiert. Es zeigt sich, dass Erfahrungen mit dem Anerkennungsgesetz die Beschäftigungschancen von Bildungsausländern erhöhen. Ebenfalls positiv auf deren Beschäftigungschancen wirken sich Fachkräfteengpässe aus. Auf diesen Ergebnissen aufbauend, werden im zweiten empirischen Teil der Forschungsarbeit die jeweiligen Einflussfaktoren bei der Rekrutierung von Bildungsausländern bzw. ausländischen Fachkräften differenzierter analysiert. Dazu kommt im Rahmen einer Follow-Up-Studie zur Betriebsbefragung des BIBB-Anerkennungsmonitorings ein Faktorielles Survey Design zum Einsatz. Mit Hilfe des Faktoriellen Survey Experiment werden Rekrutierungsprozesse simuliert, in denen Bewerber verschiedener Nationalitäten, mit ausländischem und deutschem Berufsabschluss, mit und ohne Berufserfahrung oder mit und ohne Deutsch- und Englischkenntnissen präsentiert werden. Zur Überprüfung der Wirkung von Fachkräfteengpässen wird zum einen im Faktoriellen Survey auch die Anzahl an Bewerbern variiert. Zum anderen wird der Einfluss auf die Einstellungswahrscheinlichkeit getestet, wenn die vakante Stelle in einem Beruf zu besetzen ist, der von der Bundesagentur für Arbeit als Engpassberuf gekennzeichnet ist. Wenn es sich um eine in einem Engpassberuf vakante Stelle handelt, steigen die Rekrutierungschancen für qualifizierte Bewerber aus dem Ausland signifikant an. Ein solcher Effekt, der von einem im Faktoriellen Survey simulierten Bewerbermangel ausgeht, konnte hingegen nicht festgestellt werden. Vielmehr resultieren für ausländische Bewerber schlechtere Chancen, wenn die Personalentscheider aus einer Vielzahl an Bewerbungen auswählen können. Die stärksten Auswirkungen auf eine erfolgreiche Rekrutierung ausländischer Fachkräfte gehen von deutschen Sprachkenntnissen sowie Berufserfahrungen auf dem deutschen Arbeitsmarkt aus. Ausländische Berufsabschlüsse führen bei zugewanderten Bewerbern zu geringeren Einstellungschancen als entsprechende deutsche Abschlüsse. Die Ergebnisse des Faktoriellen Surveys können hier als belastbar angesehen werden, da das Erhebungsinstrument im dritten empirischen Teil dieser Dissertation einer methodischen Validitätsprüfung unterzogen wurde.
Die vorliegende Arbeit befasst sich mit einer komplexen Fragestellung: Wie geschieht der dynamische Umbau der sprachlichen Strukturen unter der Wirkung der innersprachlichen und außersprachlichen Parameter. Im Fokus der Forschung steht der Mechanismus des Werdens der Sprachstruktur, der hier als ein einziger Modus des Daseins der Sprache betrachtet wird. Als Material der Untersuchung dient die Operationalisierung der Bestandteile der verbalen Wortbildungsprozesse in der deutschen Sprache. Die Auswahl des verbalen Teils des Vokabulars ist dadurch bedingt, dass diese Wortart ein Zentralelement ist, das die ganze Sprachmaterie konsolidiert. Als einer der Schlüsselparameter gilt dabei der Frequenzfaktor, der bisher keinen einheitlichen Status in der Sprachtheorie bekommen hat. Die Suche nach dem Ursprung der Macht dieses Faktors führt unumgänglich über die Grenzen des Sprachsystems hinaus. Die Beobachtungen über das Verhalten des Frequenzfaktors in den Prozessen und Strukturen unterschiedlichster Natur lassen behaupten, dass wir es hier mit einem sehr komplexen Phänomen zu tun haben, das ein Bestandteil des allgemeinen kognitiven Anpassungsmechanismus des Menschen zur Umwelt ist. Als solcher ist er auch ein unveräußerlicher Aspekt der Semiose, des Sprachzeichens.
Die Untersuchung verbindet Methoden der Korpuslinguistik und des close readings, um an einem repräsentativen Einzeltext mittlerer Länge das Verhältnis der syntaktischen und metrischen Ebene im mittelhochdeutschen Reimpaarvers zu untersuchen. Herausgearbeitet werden regelmäßig wiederkehrende Muster, die beide Ebenen stets gleich aufeinander abbilden. Diese Regelmäßigkeiten lassen sich aus den Lautstrukturen des mhd. Wortschatzes, den syntaktischen Bauplänen der Phrasen und Sätze, schließlich den Erfordernissen des metrischen Schemas erklären. Der häufig zur Erklärung herangezogene Reimzwang erweist sich bei näherer Betrachtung als eher sekundärer Einfluss auf die syntaktische Struktur. Neben typischen „Normalfällen“ bei denen sich statistisch häufige Betonungsmuster der Wörter, in üblichen, einfachen Satzstellungsmustern in immer gleicher Weise problemlos in den Reimpaarvers integrieren lassen, können auch wiederkehrende Abweichungsvarianten erklärt und beschrieben werden. Die festgestellten Regularitäten sind nur zu einem kleinen Teil und in wenigen Fällen deterministisch, es lässt sich jedoch, um die statistischen Auffälligkeiten zu begründen, zeigen, welche Vorteile sich aus bestimmten Varianten ergeben und welche Schwierigkeiten bei anderen entstehen, wie sich eine Variante durch eine andere ersetzen lässt. Beschrieben wird so der Gestaltungsraum des Dichters und die von ihm gewählten Lösungen. Indirekt ergibt sich zugleich ein Negativbild der Syntax, die den Zwängen des metrischen Schemas nicht unterworfen ist.
Theoretischer Hintergrund: Essstörungen sind schwere psychische Störungen, welche aufgrund ihrer Komplexität, der hohen Mortalitätsrate sowie häufiger Chronifizierungen zu den Herausforderungen für Therapie und Forschung zählen. Die Herzratenvariabilität, als Indikator autonomer Regulation, scheint insbesondere bei Anorexie-Patientinnen zu Gunsten einer höheren parasympathischen Aktivität verschoben. Dieser Befund lässt sich anhand des Model Of Neurovisceral Integration erklären: Gemäß dieses Modells stellt eine erhöhte Herzratenvariabilität einen Hinweis für erfolgreiche Selbstregulation dar. Letztere scheint für restriktives Essverhalten essentiell, während sie bei impulsiven Verhaltensweisen wie Essanfälle und Erb-rechen reduziert sein sollte. Die bisherige Studienlage zur Herzratenvariabilität bei Essstörungen ist aufgrund der begrenzten Anzahl der Studien, der geringen Stichprobengrößen und Nicht- Berücksichtigung sinnvoller Drittvariablen jedoch noch inkonsistent und oftmals widersprüchlich. Neben der physiologischen Komponente werden in der Essstörungssymptomatik Veränderungen im kognitiven und emotionalen Erleben beschrieben. Zur Untersuchung beider Konstrukte erweisen sich Methoden des Ecological Momentary Assessment als aufschlussreich, da hierbei das Verhalten im Alltag der Patienten erhoben wird. Die bisherige Literatur zeigte bislang eine gute Anwendbarkeit der Methodik bei Essstörungspatienten, wobei die Anzahl der Studien gering ist. So fehlen bislang Studien, welche Emotionen und Kognitionen in Bezug zu Mahlzeiten und Sättigungsempfindungen setzen, obgleich solche Zusammenhänge in der kognitiven Verhaltenstherapie als zentral angesehen werden. Methode: Zu Beginn einer stationären psychosomatischen Behandlung wurden bei N=51 Probandinnen (Anorexia Nervosa: 19, Bulimia Nervosa: 15, gesunde Kontrollgruppe: 17) zeit- und frequenzanalytische Parameter der Herzratenvariabilität unter Berücksichtigung des Alters und des BMI in einer standardisierten fünfminütigen Laboruntersuchung untersucht. Am selben Tag fand außerdem eine stündliche Erhebung von Essverhalten, essstörungsspezifischen Kognitionen und negativen Emotionen mittels Smartphone statt. Am Ende der Behandlung wurde die Untersuchung wiederholt. Allgemein lineare Modelle wurden ebenso wie Mehrebenenmodelle zur statistischen Überprüfung der Hypothesen eingesetzt. Ergebnisse: Anorexie-Patientinnen zeigten tendenziell eine höhere parasympathische Aktivität als gesunde Probandinnen. Im Vergleich zu den beiden anderen Gruppen wiesen Bulimie-Patientinnen die niedrigste HRV auf. Antidepressiva führten zu einer Verringerung der HRV, genauso wie bei Anorexie-Patientinnen die Krankheitsdauer. Zusammenhänge mit erlebten Essanfällen konnten nicht festgestellt werden. Im Therapieverlauf zeigte sich, dass sich bei Anorexie-Patientinnen die HRV nach erfolgreicher Gewichtszunahme signifikant verringerte. Des Weiteren zeigten Essstörungspatientinnen höhere Ausprägungen in essstörungsspezifischen Kognitionen und negativen Emotionen während des Messtages. Mahlzeiten führten zu einer Verschlechterung der Stimmung, insbesondere bei restriktiven Anorexie-Patientinnen. Das Sättigungsempfinden einer Mahlzeit hatte einen signifikanten Einfluss auf die Bewertung dieser bei der klinischen Stichprobe, nicht jedoch bei gesunden Probandinnen. Am Ende der psychosomatischen Behandlung zeigte sich eine deutliche Verbesserung der essstörungsspezifischen Kognitionen und Mahlzeit-Bewertungen. Mahlzeiten hatten überdies einen geringeren Einfluss auf die Stimmung als zu Behandlungsbeginn. Diskussion: Die Auffälligkeiten im psychischen und physiologischen Bereich bei Essstörungspatientinnen sind Ausdruck eines vielschichtigen Krankheitsbildes, welches jedoch durch intensive Therapieangebote veränderbar ist. Das Hinzuziehen sinnvoller Drittvariablen erscheint bei Untersuchungen zur Herzratenvariabilität bei Essstörungspatienten essentiell. Darüber hin-aus zeigt die vorliegende Studie erstmals Zusammenhänge zwischen Mahlzeiten, Sättigungsempfinden und Essstörungssymptomatik mittels Ecological Momentary Assessment. Diese Methodik bietet einen inkrementellen Nutzen in der Erhebung verhaltensnaher Therapieerfolge. Resultierende Therapieansätze und Implikationen der Studie werden aufgezeigt.
External capital plays an important role in financing entrepreneurial ventures, due to limited internal capital sources. An important external capital provider for entrepreneurial ventures are venture capitalists (VCs). VCs worldwide are often confronted with thousands of proposals of entrepreneurial ventures per year and must choose among all of these companies in which to invest. Not only do VCs finance companies at their early stages, but they also finance entrepreneurial companies in their later stages, when companies have secured their first market success. That is why this dissertation focuses on the decision-making behavior of VCs when investing in later-stage ventures. This dissertation uses both qualitative as well as quantitative research methods in order to provide answer to how the decision-making behavior of VCs that invest in later-stage ventures can be described.
Based on qualitative interviews with 19 investment professionals, the first insight gained is that for different stages of venture development, different decision criteria are applied. This is attributed to different risks and goals of ventures at different stages, as well as the different types of information available. These decision criteria in the context of later-stage ventures contrast with results from studies that focus on early-stage ventures. Later-stage ventures possess meaningful information on financials (revenue growth and profitability), the established business model, and existing external investors that is not available for early-stage ventures and therefore constitute new decision criteria for this specific context.
Following this identification of the most relevant decision criteria for investors in the context of later-stage ventures, a conjoint study with 749 participants was carried out to understand the relative importance of decision criteria. The results showed that investors attribute the highest importance to 1) revenue growth, (2) value-added of products/services for customers, and (3) management team track record, demonstrating differences when compared to decision-making studies in the context of early-stage ventures.
Not only do the characteristics of a venture influence the decision to invest, additional indirect factors, such as individual characteristics or characteristics of the investment firm, can influence individual decisions. Relying on cognitive theory, this study investigated the influence of various individual characteristics on screening decisions and found that both investment experience and entrepreneurial experience have an influence on individual decision-making behavior. This study also examined whether goals, incentive structures, resources, and governance of the investment firm influence decision making in the context of later-stage ventures. This study particularly investigated two distinct types of investment firms, family offices and corporate venture capital funds (CVC), which have unique structures, goals, and incentive systems. Additional quantitative analysis showed that family offices put less focus on high-growth firms and whether reputable investors are present. They tend to focus more on the profitability of a later-stage venture in the initial screening. The analysis showed that CVCs place greater importance on product and business model characteristics than other investors. CVCs also favor later-stage ventures with lower revenue growth rates, indicating a preference for less risky investments. The results provide various insights for theory and practice.
Reptiles belong to a taxonomic group characterized by increasing worldwide population declines. However, it has not been until comparatively recent years that public interest in these taxa has increased, and conservation measures are starting to show results. While many factors contribute to these declines, environmental pollution, especially in form of pesticides, has seen a strong increase in the last few decades, and is nowadays considered a main driver for reptile diversity loss. In light of the above, and given that reptiles are extremely underrepresented in ecotoxicological studies regarding the effects of plant protection products, this thesis aims at studying the impacts of pesticide exposure in reptiles, by using the Common wall lizard (Podarcis muralis) as model species. In a first approach, I evaluated the risk of pesticide exposure for reptile species within the European Union, as a means to detect species with above average exposure probabilities and to detect especially sensitive reptile orders. While helpful to detect species at risk, a risk evaluation is only the first step towards addressing this problem. It is thus indispensable to identify effects of pesticide exposure in wildlife. For this, the use of enzymatic biomarkers has become a popular method to study sub-individual responses, and gain information regarding the mode of action of chemicals. However, current methodologies are very invasive. Thus, in a second step, I explored the use of buccal swabs as a minimally invasive method to detect changes in enzymatic biomarker activity in reptiles, as an indicator for pesticide uptake and effects at the sub-individual level. Finally, the last part of this thesis focuses on field data regarding pesticide exposure and its effects on reptile wildlife. Here, a method to determine pesticide residues in food items of the Common wall lizard was established, as a means to generate data for future dietary risk assessments. Subsequently, a field study was conducted with the aim to describe actual effects of pesticide exposure on reptile populations at different levels.
The economic growth theory analyses which factors affect economic growth and tries to analyze how it can last. A popular neoclassical growth model is the Ramsey-Cass-Koopmans model, which aims to determine how much of its income a nation or an economy should save in order to maximize its welfare. In this thesis, we present and analyze an extended capital accumulation equation of a spatial version of the Ramsey model, balancing diffusive and agglomerative effects. We model the capital mobility in space via a nonlocal diffusion operator which allows for jumps of the capital stock from one location to an other. Moreover, this operator smooths out heterogeneities in the factor distributions slower, which generated a more realistic behavior of capital flows. In addition to that, we introduce an endogenous productivity-production operator which depends on time and on the capital distribution in space. This operator models the technological progress of the economy. The resulting mathematical model is an optimal control problem under a semilinear parabolic integro-differential equation with initial and volume constraints, which are a nonlocal analog to local boundary conditions, and box-constraints on the state and the control variables. In this thesis, we consider this problem on a bounded and unbounded spatial domain, in both cases with a finite time horizon. We derive existence results of weak solutions for the capital accumulation equations in both settings and we proof the existence of a Ramsey equilibrium in the unbounded case. Moreover, we solve the optimal control problem numerically and discuss the results in the economic context.
Surveys are commonly tailored to produce estimates of aggregate statistics with a desired level of precision. This may lead to very small sample sizes for subpopulations of interest, defined geographically or by content, which are not incorporated into the survey design. We refer to subpopulations where the sample size is too small to provide direct estimates with adequate precision as small areas or small domains. Despite the small sample sizes, reliable small area estimates are needed for economic and political decision making. Hence, model-based estimation techniques are used which increase the effective sample size by borrowing strength from other areas to provide accurate information for small areas. The paragraph above introduced small area estimation as a field of survey statistics where two conflicting philosophies of statistical inference meet: the design-based and the model-based approach. While the first approach is well suited for the precise estimation of aggregate statistics, the latter approach furnishes reliable small area estimates. In most applications, estimates for both large and small domains based on the same sample are needed. This poses a challenge to the survey planner, as the sampling design has to reflect different and potentially conflicting requirements simultaneously. In order to enable efficient design-based estimates for large domains, the sampling design should incorporate information related to the variables of interest. This may be achieved using stratification or sampling with unequal probabilities. Many model-based small area techniques require an ignorable sampling design such that after conditioning on the covariates the variable of interest does not contain further information about the sample membership. If this condition is not fulfilled, biased model-based estimates may result, as the model which holds for the sample is different from the one valid for the population. Hence, an optimisation of the sampling design without investigating the implications for model-based approaches will not be sufficient. Analogously, disregarding the design altogether and focussing only on the model is prone to failure as well. Instead, a profound knowledge of the interplay between the sample design and statistical modelling is a prerequisite for implementing an effective small area estimation strategy. In this work, we concentrate on two approaches to address this conflict. Our first approach takes the sampling design as given and can be used after the sample has been collected. It amounts to incorporate the survey design into the small area model to avoid biases stemming from informative sampling. Thus, once a model is validated for the sample, we know that it holds for the population as well. We derive such a procedure under a lognormal mixed model, which is a popular choice when the support of the dependent variable is limited to positive values. Besides, we propose a three pillar strategy to select the additional variable accounting for the design, based on a graphical examination of the relationship, a comparison of the predictive accuracy of the choices and a check regarding the normality assumptions.rnrnOur second approach to deal with the conflict is based on the notion that the design should allow applying a wide variety of analyses using the sample data. Thus, if the use of model-based estimation strategies can be anticipated before the sample is drawn, this should be reflected in the design. The same applies for the estimation of national statistics using design-based approaches. Therefore, we propose to construct the design such that the sampling mechanism is non-informative but allows for precise design-based estimates at an aggregate level.
The harmonic Faber operator
(2018)
P. K. Suetin points out in the beginning of his monograph "Faber Polynomials and Faber Series" that Faber polynomials play an important role in modern approximation theory of a complex variable as they are used in representing analytic functions in simply connected domains, and many theorems on approximation of analytic functions are proved with their help [50]. In 1903, the Faber polynomials were firstly discovered by G. Faber. It was Faber's aim to find a generalisation of Taylor series of holomorphic functions in the open unit disc D in the following way. As any holomorphic function in D has a Taylor series representation f(z)=\sum_{\nu=0}^{\infty}a_{\nu}z^{\nu} (z\in\D) converging locally uniformly inside D, for a simply connected domain G, Faber wanted to determine a system of polynomials (Q_n) such that each function f being holomorphic in G can be expanded into a series
f=\sum_{\nu=0}^{\infty}b_{\nu}Q_{\nu} converging locally uniformly inside G. Having this goal in mind, Faber considered simply connected domains bounded by an analytic Jordan curve. He constructed a system of polynomials (F_n) with this property. These polynomials F_n were named after him as Faber polynomials. In the preface of [50], a detailed summary of results concerning Faber polynomials and results obtained by the aid of them is given. An important application of Faber polynomials is e.g. the transfer of known assertions concerning polynomial approximation of functions belonging to the disc algebra to results of the approximation of functions being continuous on a compact continuum K which contains at least two points and has a connected complement and being holomorphic in the interior of K. In this field, the Faber operator denoted by T turns out to be a powerful tool (for an introduction, see e.g. D. Gaier's monograph). It
assigns a polynomial of degree at most n given in the monomial basis \sum_{\nu=0}^{n}a_{\nu}z^{\nu} with a polynomial of degree at most n given in the basis of Faber polynomials \sum_{\nu=0}^{n}a_{\nu}F_{\nu}. If the Faber operator is continuous with respect to the uniform norms, it has a unique continuous extension to an operator mapping the disc algebra onto the space of functions being continuous on the whole compact continuum and holomorphic in its interior. For all f being element of the disc algebra and all polynomials P, via the obvious estimate for the uniform norms ||T(f)-T(P)||<= ||T|| ||f-P||, it can be seen that the original task of approximating F=T(f) by polynomials is reduced to the polynomial approximation of the function f. Therefore, the question arises under which conditions the Faber operator is continuous and surjective. A fundamental result in this regard was established by J. M. Anderson and J. Clunie who showed that if the compact continuum is bounded by a rectifiable Jordan curve with bounded boundary rotation and free from cusps, then the Faber operator with respect to the uniform norms is a topological isomorphism. Now, let f be a harmonic function in D. Similar as above, we find that f has a uniquely determined representation f=\sum_{\nu=-\infty}^{\infty}a_{\nu}p_{\nu}
converging locally uniformly inside D where p_{n}(z)=z^{n} for n\in\N_{0} and p_{-n}(z)=\overline{z}^{n} for n\in\N}. One may ask whether there is an analogue for harmonic functions on simply connected domains G. Indeed, for a domain G bounded by an analytic Jordan curve, the conjecture that each function f being harmonic in G has a uniquely determined representation f=\sum_{\nu= \infty}^{\infty}b_{\nu}F_{\nu} where F_{-n}(z)=\overline{F_{n}(z\)} for n\inN, converging locally uniformly inside G, holds true. Let now K be a compact continuum containing at least two points and having a connected complement. A main component of this thesis will be the examination of the harmonic Faber operator mapping a harmonic polynomial given in the basis of the harmonic monomials \sum_{\nu=-n}^{n}a_{\nu}p_{\nu} to a harmonic polynomial given as \sum_{\nu=-n}^{n}a_{\nu}F_{\nu}.
If this operator, which is based on an idea of J. Müller, is continuous with respect to the uniform norms, it has a unique continuous extension to an operator mapping the functions being continuous on \partial\D onto the continuous functions on K being
harmonic in the interior of K. Harmonic Faber polynomials and the harmonic Faber operator will be the objects accompanying us throughout
our whole discussion. After having given an overview about notations and certain tools we will use in our consideration in the first chapter, we begin our studies with an introduction to the Faber operator and the harmonic Faber operator. We start modestly and consider domains bounded by an analytic Jordan curve. In Section 2, as a first result, we will show that, for such a domain G, the harmonic Faber operator has a unique continuous extension to an operator mapping the space of the harmonic functions in D onto the space
of the harmonic functions in G, and moreover, the harmonic Faber
operator is an isomorphism with respect to the topologies of locally
uniform convergence. In the further sections of this chapter, we illumine the behaviour of the (harmonic) Faber operator on certain function spaces. In the third chapter, we leave the situation of compact continua bounded by an analytic Jordan curve. Instead we consider closures of domains bounded by Jordan curves having a Dini continuous curvature. With the aid of the concept of compact operators and the Fredholm alternative, we are able to show that the harmonic Faber operator is a topological isomorphism. Since, in particular, the main result of the third chapter holds true for closures K of domains bounded by analytic Jordan curves, we can make use of it to obtain new results concerning the approximation of functions being continuous on K and harmonic in the interior of K by harmonic polynomials. To do so, we develop techniques applied by L. Frerick and J. Müller in [11] and adjust them to our setting. So, we can transfer results about the classic Faber operator to the harmonic Faber operator. In the last chapter, we will use the theory of harmonic Faber polynomials
to solve certain Dirichlet problems in the complex plane. We pursue
two different approaches: First, with a similar philosophy as in [50],
we develop a procedure to compute the coefficients of a series \sum_{\nu=-\infty}^{\infty}c_{\nu}F_{\nu} converging uniformly to the solution of a given Dirichlet problem. Later, we will point out how semi-infinite programming with harmonic Faber polynomials as ansatz functions can be used to get an approximate solution of a given Dirichlet problem. We cover both approaches first from a theoretical point of view before we have a focus on the numerical implementation of concrete examples. As application of the numerical computations, we considerably obtain visualisations of the concerned Dirichlet problems rounding out our discussion about the harmonic Faber polynomials and the harmonic Faber operator.
Academic achievement is a central outcome in educational research, both in and outside higher education, has direct effects on individual’s professional and financial prospects and a high individual and public return on investment. Theories comprise cognitive as well as non-cognitive influences on achievement. Two examples frequently investigated in empirical research are knowledge (as a cognitive determinant) and stress (as a non-cognitive determinant) of achievement. However, knowledge and stress are not stable, what raises questions as to how temporal dynamics in knowledge on the one hand and stress on the other contribute to achievement. To study these contributions in the present doctoral dissertation, I used meta-analysis, latent profile transition analysis, and latent state-trait analysis. The results support the idea of knowledge acquisition as a cumulative and long-term process that forms the basis for academic achievement and conceptual change as an important mechanism for the acquisition of knowledge in higher education. Moreover, the findings suggest that students’ stress experiences in higher education are subject to stable, trait-like influences, as well as situational and/or interactional, state-like influences which are differentially related to achievement and health. The results imply that investigating the causal networks between knowledge, stress, and academic achievement is a promising strategy for better understanding academic achievement in higher education. For this purpose, future studies should use longitudinal designs, randomized controlled trials, and meta-analytical techniques. Potential practical applications include taking account of students’ prior knowledge in higher education teaching and decreasing stress among higher education students.
Die Dissertation untersucht vergleichend deutsch-japanische fotografische Kriegspropaganda des Zweiten Weltkrieges anhand der zu jener Zeit auflagenstärksten illustrierten Zeitschriften "Illustrierter Beobachter" auf deutscher und "Shashin Shūhō" (Fotografische Wochenzeitung) auf japanischer Seite. Unter Rückgriff auf die ikonographisch-ikonologische Methode des Kunsthistorikers Erwin Panofsky bei gleichzeitiger Bezugnahme auf das Bildverständnis Charles Sanders Peirces werden Muster der bildlichen Darstellung von Kindern und Jugendlichen analysiert, um hierdurch Rückschlüsse zu ziehen auf Gemeinsamkeiten und Unterschiede in der Ausgestaltung der Bildpropaganda beider Länder unmittelbar vor und im Zweiten Weltkrieg (1939-1945), auf allgemeine Tendenzen in der Gestaltung von Propaganda im selben Zeitraum, auf die Organisation und Funktion von Propaganda in radikalnationalistischen Staaten. Gleichzeitig wird durch Einbeziehung der Rezipientensicht die Frage nach Mehrdeutigkeit und, hiermit einhergehend, Wirkungsweise und Wirkungsgrad der Propaganda gestellt. Schwerpunkt der Untersuchung bilden sämtliche publizierten Ausgaben der zweiten Jahreshälften 1938 und 1943.
Fostering positive and realistic self-concepts of individuals is a major goal in education worldwide (Trautwein & Möller, 2016). Individuals spend most of their childhood and adolescence in school. Thus, schools are important contexts for individuals to develop positive self-perceptions such as self-concepts. In order to enhance positive self-concepts in educational settings and in general, it is indispensable to have a comprehensive knowledge about the development and structure of self-concepts and their determinants. To date, extensive empirical and theoretical work on antecedents and change processes of self-concept has been conducted. However, several research gaps still exist, and several of these are the focus of the present dissertation. Specifically, these research gaps encompass (a) the development of multiple self-concepts from multiple perspectives regarding stability and change, (b) the direction of longitudinal interplay between self-concept facets over the entire time period from childhood to late adolescence, and (c) the evidence that a recently developed structural model of academic self-concept (nested Marsh/Shavelson model [Brunner et al., 2010]) fits the data in elementary school students, (d) the investigation of structural changes in academic self-concept profile formation within this model, (e) the investigation of dimensional comparison processes as determinants of academic self-concept profile formation in elementary school students within the internal/external frame of reference model (I/E model; Marsh, 1986), (f) the test of moderating variables for dimensional comparison processes in elementary school, (g) the test of the key assumptions of the I/E model that effects of dimensional comparisons depend to a large degree on the existence of achievement differences between subjects, and (h) the generalizability of the findings regarding the I/E model over different statistical analytic methods. Thus, the aim of the present dissertation is to contribute to close these gaps with three studies. Thereby, data from German students enrolled in elementary school to secondary school education were gathered in three projects comprising the developmental time span from childhood to adolescence (ages 6 to 20). Three vital self-concept areas in childhood and adolescence were in-vestigated: general self-concept (i.e., self-esteem), academic self-concepts (general, math, reading, writing, native language), and social self-concepts (of acceptance and assertion). In all studies, data were analyzed within a latent variable framework. Findings are discussed with respect to the research aims of acquiring more comprehensive knowledge on the structure and development of significant self-concept in childhood and adolescence and their determinants. In addition, theoretical and practical implications derived from the findings of the present studies are outlined. Strengths and limitations of the present dissertation are discussed. Finally, an outlook for future research on self-concepts is given.
Quadratische Optimierungsprobleme (QP) haben ein breites Anwendungsgebiet, wie beispielsweise kombinatorische Probleme einschließlich des maximalen Cliquenroblems. Motzkin und Straus [25] zeigten die Äquivalenz zwischen dem maximalen Cliquenproblem und dem standard quadratischen Problem. Auch mathematische Statistik ist ein weiteres Anwendungsgebiet von (QP), sowie eine Vielzahl von ökonomischen Modellen basieren auf (QP), z.B. das quadratische Rucksackproblem. In [5] Bomze et al. haben das standard quadratische Optimierungsproblem (StQP) in ein Copositive-Problem umformuliert. Im Folgenden wurden Algorithmen zur Lösung dieses copositiviten Problems von Bomze und de Klerk in [6] und Dür und Bundfuss in [9] entwickelt. Während die Implementierung dieser Algorithmen einige vielversprechende numerische Ergebnisse hervorbrachten, konnten die Autoren nur die copositive Neuformulierung des (StQP)s lösen. In [11] präsentierte Burer eine vollständig positive Umformulierung für allgemeine (QP)s, sogar mit binären Nebenbedingungen. Leider konnte er keine Methode zur Lösung für ein solches vollständig positives Problem präsentieren, noch wurde eine copositive Formulierung vorgeschlagen, auf die man die oben erwähnten Algorithmen modifizieren und anwenden könnte, um diese zu lösen. Diese Arbeit wird einen neuen endlichen Algorithmus zur Lösung eines standard quadratischen Optimierungsproblems aufstellen. Desweiteren werden in dieser Thesis copositve Darstellungen für ungleichungsbeschränkte sowie gleichungsbeschränkte quadratische Optimierungsprobleme vorgestellt. Für den ersten Ansatz wurde eine vollständig positive Umformulierung des (QP) entwickelt. Die copositive Umformulierung konnte durch Betrachtung des dualen Problems des vollständig positiven Problems erhalten werden. Ein direkterer Ansatz wurde gemacht, indem das Lagrange-Duale eines äquivalenten quadratischen Optimierungsproblems betrachtet wurde, das durch eine semidefinite quadratische Nebenbedingung beschränkt wurde. In diesem Zusammenhang werden Bedingungen für starke Dualität vorgeschlagen.
Early life adversity (ELA) is associated with a higher risk for diseases in adulthood. Changes in the immune system have been proposed to underlie this association. Although higher levels of inflammation and immunosenescence have been reported, data on cell-specific immune effects are largely absent. In addition, stress systems and health behaviors are altered in ELA, which may contribute to the generation of the "ELA immune phenotype". In this thesis, we have investigated the ELA immune phenotype on a cellular level and whether this is an indirect consequence of changes in behavior or stress reactivity. To address these questions the EpiPath cohort was established, consisting of 115 young adults with or without ELA. ELA participants had experienced separation from their parents in early childhood and were subsequently adopted, which is a standard model for ELA, whereas control participants grew up with their biological parents. At a first visit, blood samples were taken for analysis of epigenetic markers and immune parameters. A selection of the cohort underwent a standardized laboratory stress test (SLST). Endocrine, immune, and cardiovascular parameters were assessed at several time points before and after stress. At a second visit, participants underwent structural clinical interviews and filled out psychological questionnaires. We observed a higher number of activated T cells in ELA, measured by HLA-DR and CD25 expression. Neither cortisol levels nor health-risk behaviors explained the observed group differences. Besides a trend towards higher numbers of CCR4+CXCR3-CCR6+ CD4 T cells in ELA, relative numbers of immune cell subsets in circulation were similar between groups. No difference was observed in telomere length or in methylation levels of age-related CpGs in whole blood. However, we found a higher expression of senescence markers (CD57) on T cells in ELA. In addition, these cells had an increased cytolytic potential. A mediation analysis demonstrated that cytomegalovirus infection " an important driving force of immunosenescence " largely accounted for elevated CD57 expression. The psychological investigations revealed that after adoption, family conditions appeared to have been similar to the controls. However, PhD thesis MMC Elwenspoek 18 ELA participants scored higher on a depression index, chronic stress, and lower on self-esteem. Psychological, endocrine, and cardiovascular parameters significantly responded to the SLST, but were largely similar between the two groups. Only in a smaller subset of groups matched for gender, BMI, and age, the cortisol response seemed to be blunted in ELA participants. Although we found small differences in the methylation level of the GR promoter, GR sensitivity and mRNA expression levels GR as well as expression of the GR target genes FKBP5 and GILZ were similar between groups. Taken together, our data suggest an elevated state of immune activation in ELA, in which particularly T cells are affected. Furthermore, we found higher levels of T cells immunosenescence in ELA. Our data suggest that ELA may increase the risk of cytomegalovirus infection in early childhood, thereby mediating the effect of ELA on T cell specific immunosenescence. Importantly, we found no evidence of HPA dysregulation in participants exposed to ELA in the EpiPath cohort. Thus, the observed immune phenotype does not seem to be secondary to alterations in the stress system or health-risk behaviors, but rather a primary effect of early life programming on immune cells. Longitudinal studies will be necessary to further dissect cause from effect in the development of the ELA immune phenotype.
Sample surveys are a widely used and cost effective tool to gain information about a population under consideration. Nowadays, there is an increasing demand not only for information on the population level but also on the level of subpopulations. For some of these subpopulations of interest, however, very small subsample sizes might occur such that the application of traditional estimation methods is not expedient. In order to provide reliable information also for those so called small areas, small area estimation (SAE) methods combine auxiliary information and the sample data via a statistical model.
The present thesis deals, among other aspects, with the development of highly flexible and close to reality small area models. For this purpose, the penalized spline method is adequately modified which allows to determine the model parameters via the solution of an unconstrained optimization problem. Due to this optimization framework, the incorporation of shape constraints into the modeling process is achieved in terms of additional linear inequality constraints on the optimization problem. This results in small area estimators that allow for both the utilization of the penalized spline method as a highly flexible modeling technique and the incorporation of arbitrary shape constraints on the underlying P-spline function.
In order to incorporate multiple covariates, a tensor product approach is employed to extend the penalized spline method to multiple input variables. This leads to high-dimensional optimization problems for which naive solution algorithms yield an unjustifiable complexity in terms of runtime and in terms of memory requirements. By exploiting the underlying tensor nature, the present thesis provides adequate computationally efficient solution algorithms for the considered optimization problems and the related memory efficient, i.e. matrix-free, implementations. The crucial point thereby is the (repetitive) application of a matrix-free conjugated gradient method, whose runtime is drastically reduced by a matrx-free multigrid preconditioner.
The dissertation deals with methods to improve design-based and model-assisted estimation techniques for surveys in a finite population framework. The focus is on the development of the statistical methodology as well as their implementation by means of tailor-made numerical optimization strategies. In that regard, the developed methods aim at computing statistics for several potentially conflicting variables of interest at aggregated and disaggregated levels of the population on the basis of one single survey. The work can be divided into two main research questions, which are briefly explained in the following sections.
First, an optimal multivariate allocation method is developed taking into account several stratification levels. This approach results in a multi-objective optimization problem due to the simultaneous consideration of several variables of interest. In preparation for the numerical solution, several scalarization and standardization techniques are presented, which represent the different preferences of potential users. In addition, it is shown that by solving the problem scalarized with a weighted sum for all combinations of weights, the entire Pareto frontier of the original problem can be generated. By exploiting the special structure of the problem, the scalarized problems can be efficiently solved by a semismooth Newton method. In order to apply this numerical method to other scalarization techniques as well, an alternative approach is suggested, which traces the problem back to the weighted sum case. To address regional estimation quality requirements at multiple stratification levels, the potential use of upper bounds for regional variances is integrated into the method. In addition to restrictions on regional estimates, the method enables the consideration of box-constraints for the stratum-specific sample sizes, allowing minimum and maximum stratum-specific sampling fractions to be defined.
In addition to the allocation method, a generalized calibration method is developed, which is supposed to achieve coherent and efficient estimates at different stratification levels. The developed calibration method takes into account a very large number of benchmarks at different stratification levels, which may be obtained from different sources such as registers, paradata or other surveys using different estimation techniques. In order to incorporate the heterogeneous quality and the multitude of benchmarks, a relaxation of selected benchmarks is proposed. In that regard, predefined tolerances are assigned to problematic benchmarks at low aggregation levels in order to avoid an exact fulfillment. In addition, the generalized calibration method allows the use of box-constraints for the correction weights in order to avoid an extremely high variation of the weights. Furthermore, a variance estimation by means of a rescaling bootstrap is presented.
Both developed methods are analyzed and compared with existing methods in extensive simulation studies on the basis of a realistic synthetic data set of all households in Germany. Due to the similar requirements and objectives, both methods can be successively applied to a single survey in order to combine their efficiency advantages. In addition, both methods can be solved in a time-efficient manner using very comparable optimization approaches. These are based on transformations of the optimality conditions. The dimension of the resulting system of equations is ultimately independent of the dimension of the original problem, which enables the application even for very large problem instances.
Optimal Control of Partial Integro-Differential Equations and Analysis of the Gaussian Kernel
(2018)
An important field of applied mathematics is the simulation of complex financial, mechanical, chemical, physical or medical processes with mathematical models. In addition to the pure modeling of the processes, the simultaneous optimization of an objective function by changing the model parameters is often the actual goal. Models in fields such as finance, biology or medicine benefit from this optimization step.
While many processes can be modeled using an ordinary differential equation (ODE), partial differential equations (PDEs) are needed to optimize heat conduction and flow characteristics, spreading of tumor cells in tissue as well as option prices. A partial integro-differential equation (PIDE) is a parital differential equation involving an integral operator, e.g., the convolution of the unknown function with a given kernel function. PIDEs occur for example in models that simulate adhesive forces between cells or option prices with jumps.
In each of the two parts of this thesis, a certain PIDE is the main object of interest. In the first part, we study a semilinear PIDE-constrained optimal control problem with the aim to derive necessary optimality conditions. In the second, we analyze a linear PIDE that includes the convolution of the unknown function with the Gaussian kernel.
In this thesis, we present a new approach for estimating the effects of wind turbines for a local bat population. We build an individual based model (IBM) which simulates the movement behaviour of every single bat of the population with its own preferences, foraging behaviour and other species characteristics. This behaviour is normalized by a Monte-Carlo simulation which gives us the average behaviour of the population. The result is an occurrence map of the considered habitat which tells us how often the bat and therefore the considered bat population frequent every region of this habitat. Hence, it is possible to estimate the crossing rate of the position of an existing or potential wind turbine. We compare this individual based approach with a partial differential equation based method. This second approach produces a lower computational effort but, unfortunately, we lose information about the movement trajectories at the same time. Additionally, the PDE based model only gives us a density profile. Hence, we lose the information how often each bat crosses special points in the habitat in one night. In a next step we predict the average number of fatalities for each wind turbine in the habitat, depending on the type of the wind turbine and the behaviour of the considered bat species. This gives us the extra mortality caused by the wind turbines for the local population. This value is used for a population model and finally we can calculate whether the population still grows or if there already is a decline in population size which leads to the extinction of the population. Using the combination of all these models, we are able to evaluate the conflict of wind turbines and bats and to predict the result of this conflict. Furthermore, it is possible to find better positions for wind turbines such that the local bat population has a better chance to survive. Since bats tend to move in swarm formations under certain circumstances, we introduce swarm simulation using partial integro-differential equations. Thereby, we have a closer look at existence and uniqueness properties of solutions.
Die patienten-fokussierte Psychotherapieforschung hat das Ziel, den Erfolg von Psychotherapie durch die kontinuierliche Messung und Rückmeldung von Prozessvariablen zu verbessern. Es konnte bereits gezeigt werden, dass nicht nur Patienten-spezifische Charakterisitika, wie die Symptomreduktion, sondern auch dyadische Merkmale, wie die therapeutische Beziehung, indikativ sind. Ein vielversprechender neuer Ansatz bzgl. der Messung dyadischer Charakteristika ist nonverbale Synchronie, die definiert ist als Bewegungskoordination zwischen Interaktionspartnern. Nonverbale Synchronie kann inzwischen objektiv und automatisch in Therapievidoes gemessen werden, was die Methodik frei von Biases wie selektiver Wahrnehmung oder sozialer Erwünschtheit macht. Frühe Studien aus der Sozial- und Entwicklungspsychologie konnten Zusammenhänge mit sozialer Bindung und Sympathie finden. Erste Studien aus der Psychotherapieforschung weisen auf Zusammenhänge zwischen nonverbaler Synchronie und der Therapiebeziehung sowie dem Therapieerfolg hin und geben erste Hinweise darauf, dass nonverbale Synchronie eine zusätzliche Informationsquelle für dyadische Aspekte sein kann, mit der man zukünftig frühzeitig Therapieerfolge vorhersagen könnte. Die vorliegende Arbeit beinhaltet drei Studien zu nonverbaler Synchronie in der ambulanten Psychotherapie und Zusammenhängen mit therapeutischen Prozessen. In Studie 1 wurde nonverbale Synchronie in einer diagnose-heterogenen Stichprobe von N=143 Patienten zu Therapiebeginn gemessen. Mittels Mehrebenenanalysen konnte die Validität der Messmethodik bestätigt werden. Des weiteren wurden Zusammenhänge mit bestimmten Artes des Therapieerfolgs gefunden: Patienten, die unverändert die Therapie abbrachen zeigten das niedrigste Level an Synchronie, während Patienten, die unverändert die Therapie zu Ende führten das höchste Level hatte und Patienten mit einer reliablen Symptomreduktion ein mittleres Level an nonverbaler Synchrony aufwiesen (auch unter Kontrolle der Therapiebeziehung). In Studie 2 wurden nonverbale Synchronie und die Bewegungsmenge zu Therapiebeginn und zum Therapieende erfasst und in zwei Stichproben von Patienten mit Depression (N=68) und Patienten mit Angststörungen (N=25) verglichen. Mehrebenenanalysen zeigten weniger Bewegungsmenge und Synchronie bei Dyaden mit depressiven Patienten, wobei sich beide Gruppen zum Therapieende nicht mehr in der nonverbalen Synchronie unterschieden. In Studie 3 wurde nonverbale Synchronie in einer Stichprobe von N=111 Patienten mit Sozialer Phobie zu vier Zeitpunkten im Therapieverlauf gemessen (N=346 Videos). Mehrebenenanalysen zeigten einen kontinuierlich sinkenden Verlauf der Synchronie und einen Moderationseffekt auf den Zusammenhang zwischen frühen Verbesserungen und dem Therapieerfolg.
Background and rationale: Changing working conditions demand adaptation, resulting in higher stress levels in employees. In consequence, decreased productivity, increasing rates of sick leave, and cases of early retirement result in higher direct, indirect, and intangible costs. Aims of the Research Project: The aim of the study was to test the usefulness of a novel translational diagnostic tool, Neuropattern, for early detection, prevention, and personalized treatment of stress-related disorders. The trial was designed as a pilot study with a wait list control group. Materials and Methods: In this study, 70 employees of the Forestry Department Rhineland-Palatinate, Germany, were enrolled. Subjects were block-randomized according to the functional group of their career field, and either underwent Neuropattern diagnostics immediately, or after a waiting period of three months. After the diagnostic assessment, their physicians received the Neuropattern Medical Report, including the diagnostic results and treatment recommendations. Participants were informed by the Neuropattern Patient Report, and were eligible to an individualized Neuropattern Online Counseling account. Results: The application of Neuropattern diagnostics significantly improved mental health and health-related behavior, reduced perceived stress, emotional exhaustion, overcommitment and possibly, presenteeism. Additionally, Neuropattern sensitively detected functional changes in stress physiology at an early stage, thus allowing timely personalized interventions to prevent and treat stress pathology. Conclusion: The present study encouraged the application of Neuropattern diagnostics to early intervention in non-clinical populations. However, further research is required to determine the best operating conditions.