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Forschungsprozessspezifische Kompetenzmatrix für die Einführung des Forschungsdatenmanagements (FDM)
(2018)
Die forschungsprozessspezifische Kompetenzmatrix stellt einen Baustein im Rahmen des durch das BMBF geförderten Forschungsprojektes „Prozessorientierte Entwicklung von Managementinstrumenten für Forschungsdaten im Lebenszyklus“ (PODMAN) dar. Im Rahmen des PODMAN-Projektes soll ein Referenzmodell und ein zugehöriges prozessorientiertes Benchmarking-Verfahren zur Implementierung des Forschungsdatenmanagements an Hochschulen und außeruniversitären Forschungseinrichtungen entwickelt werden. Darüber soll den Hochschulen und außeruniversitären Forschungseinrichtungen ein Orientierungsrahmen bereitgestellt werden, den sie flexibel zur Umsetzung eigener Datenmanagementstrategien nutzen können. In diesem Zusammenhang sollen Instrumente entwickelt werden, welche eine erfolgreiche Organisation der Zusammenarbeit und Kommunikation sowie der Qualifizierung aller am Forschungsdatenmanagementprozess beteiligten Akteure erlauben. Die forschungsprozessspezifische Kompetenzmatrix hat als eines dieser Instrumente zwei Funktionen: Erstens definiert sie die zur Implementierung eines umfassenden institutionellen FDM-Konzeptes notwendigen Aufgaben und zweitens die damit verbundenen Kompetenzen der ausführenden Akteure.
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.
Kartenschätze aus Italien
(2018)
Die Entdeckungen der Neuzeit sowie verbesserte Druckverfahren führten ab dem 16. Jahrhundert zu einem enormen Aufschwung der Kartographie. Gerade in Italien entstanden blühende kartographische Zentren mit exzellentem Ruf, die innerhalb kurzer Zeit große Fortschritte hinsichtlich Genauigkeit und Übersichtlichkeit machten. Aus dem der Universitätsbibliothek Trier vermachten Nachlass des Kartensammlers Fritz Hellwig werden drei repräsentative Beispiele vorgestellt.
The implicit power motive is one of the most researched motives in motivational psychology—at least in adults. Children have rarely been subject to investigation and there are virtually no results on behavioral and affective correlates of the implicit power motive in children. As behavior and affect are important components of conceptual validation, the empirical data in this dissertation focused on identifying three correlates, namely resource control behavior (study 1), power stress (study 2), and persuasive behavior (study 3). In each study, the implicit power motive was measured via the Picture Story Exercise, using an adapted version for children. Children across samples were between 4 and 11 years old.
Results from study 1 and 2 showed that children’s power-related behavior corresponded with evidence from adult samples: children with a high implicit power motive secure attractive resources and show negative reactions to a thwarted attempt to exert influence. Study 3 contradicted existing evidence with adults in that children’s persuasive behavior was not associated with nonverbal, but with verbal strategies of persuasion. Despite this inconsistency, these results are, together with the validation of a child-friendly Picture Story Exercise version, an important step into further investigating and confirming the concept of the implicit power motive and how to measure it in children.
A matrix A is called completely positive if there exists an entrywise nonnegative matrix B such that A = BB^T. These matrices can be used to obtain convex reformulations of for example nonconvex quadratic or combinatorial problems. One of the main problems with completely positive matrices is checking whether a given matrix is completely positive. This is known to be NP-hard in general. rnrnFor a given matrix completely positive matrix A, it is nontrivial to find a cp-factorization A=BB^T with nonnegative B since this factorization would provide a certificate for the matrix to be completely positive. But this factorization is not only important for the membership to the completely positive cone, it can also be used to recover the solution of the underlying quadratic or combinatorial problem. In addition, it is not a priori known how many columns are necessary to generate a cp-factorization for the given matrix. The minimal possible number of columns is called the cp-rank of A and so far it is still an open question how to derive the cp-rank for a given matrix. Some facts on completely positive matrices and the cp-rank will be given in Chapter 2. Moreover, in Chapter 6, we will see a factorization algorithm, which, for a given completely positive matrix A and a suitable starting point, computes the nonnegative factorization A=BB^T. The algorithm therefore returns a certificate for the matrix to be completely positive. As introduced in Chapter 3, the fundamental idea of the factorization algorithm is to start from an initial square factorization which is not necessarily entrywise nonnegative, and extend this factorization to a matrix for which the number of columns is greater than or equal to the cp-rank of A. Then it is the goal to transform this generated factorization into a cp-factorization. This problem can be formulated as a nonconvex feasibility problem, as shown in Section 4.1, and solved by a method which is based on alternating projections, as proven in Chapter 6. On the topic of alternating projections, a survey will be given in Chapter 5. Here we will see how to apply this technique to several types of sets like subspaces, convex sets, manifolds and semialgebraic sets. Furthermore, we will see some known facts on the convergence rate for alternating projections between these types of sets. Considering more than two sets yields the so called cyclic projections approach. Here some known facts for subspaces and convex sets will be shown. Moreover, we will see a new convergence result on cyclic projections among a sequence of manifolds in Section 5.4. In the context of cp-factorizations, a local convergence result for the introduced algorithm will be given. This result is based on the known convergence for alternating projections between semialgebraic sets. To obtain cp-facrorizations with this first method, it is necessary to solve a second order cone problem in every projection step, which is very costly. Therefore, in Section 6.2, we will see an additional heuristic extension, which improves the numerical performance of the algorithm. Extensive numerical tests in Chapter 7 will show that the factorization method is very fast in most instances. In addition, we will see how to derive a certificate for the matrix to be an element of the interior of the completely positive cone. As a further application, this method can be extended to find a symmetric nonnegative matrix factorization, where we consider an additional low-rank constraint. Here again, the method to derive factorizations for completely positive matrices can be used, albeit with some further adjustments, introduced in Section 8.1. Moreover, we will see that even for the general case of deriving a nonnegative matrix factorization for a given rectangular matrix A, the key aspects of the completely positive factorization approach can be used. To this end, it becomes necessary to extend the idea of finding a completely positive factorization such that it can be used for rectangular matrices. This yields an applicable algorithm for nonnegative matrix factorization in Section 8.2. Numerical results for this approach will suggest that the presented algorithms and techniques to obtain completely positive matrix factorizations can be extended to general nonnegative factorization problems.
We will consider discrete dynamical systems (X,T) which consist of a state space X and a linear operator T acting on X. Given a state x in X at time zero, its state at time n is determined by the n-th iteration T^n(x). We are interested in the long-term behaviour of this system, that means we want to know how the sequence (T^n (x))_(n in N) behaves for increasing n and x in X. In the first chapter, we will sum up the relevant definitions and results of linear dynamics. In particular, in topological dynamics the notions of hypercyclic, frequently hypercyclic and mixing operators will be presented. In the setting of measurable dynamics, the most important definitions will be those of weakly and strongly mixing operators. If U is an open set in the (extended) complex plane containing 0, we can define the Taylor shift operator on the space H(U) of functions f holomorphic in U as Tf(z) = (f(z)- f(0))/z if z is not equal to 0 and otherwise Tf(0) = f'(0). In the second chapter, we will start examining the Taylor shift on H(U) endowed with the topology of locally uniform convergence. Depending on the choice of U, we will study whether or not the Taylor shift is weakly or strongly mixing in the Gaussian sense. Next, we will consider Banach spaces of functions holomorphic on the unit disc D. The first section of this chapter will sum up the basic properties of Bergman and Hardy spaces in order to analyse the dynamical behaviour of the Taylor shift on these Banach spaces in the next part. In the third section, we study the space of Cauchy transforms of complex Borel measures on the unit circle first endowed with the quotient norm of the total variation and then with a weak-* topology. While the Taylor shift is not even hypercyclic in the first case, we show that it is mixing for the latter case. In Chapter 4, we will first introduce Bergman spaces A^p(U) for general open sets and provide approximation results which will be needed in the next chapter where we examine the Taylor shift on these spaces on its dynamical properties. In particular, for 1<=p<2 we will find sufficient conditions for the Taylor shift to be weakly mixing or strongly mixing in the Gaussian sense. For p>=2, we consider specific Cauchy transforms in order to determine open sets U such that the Taylor shift is mixing on A^p(U). In both sections, we will illustrate the results with appropriate examples. Finally, we apply our results to universal Taylor series. The results of Chapter 5 about the Taylor shift allow us to consider the behaviour of the partial sums of the Taylor expansion of functions in general Bergman spaces outside its disc of convergence.
Given a compact set K in R^d, the theory of extension operators examines the question, under which conditions on K, the linear and continuous restriction operators r_n:E^n(R^d)→E^n(K),f↦(∂^α f|_K)_{|α|≤n}, n in N_0 and r:E(R^d)→E(K),f↦(∂^α f|_K)_{α in N_0^d}, have a linear and continuous right inverse. This inverse is called extension operator and this problem is known as Whitney's extension problem, named after Hassler Whitney. In this context, E^n(K) respectively E(K) denote spaces of Whitney jets of order n respectively of infinite order. With E^n(R^d) and E(R^d), we denote the spaces of n-times respectively infinitely often continuously partially differentiable functions on R^d. Whitney already solved the question for finite order completely. He showed that it is always possible to construct a linear and continuous right inverse E_n for r_n. This work is concerned with the question of how the existence of a linear and continuous right inverse of r, fulfilling certain continuity estimates, can be characterized by properties of K. On E(K), we introduce a full real scale of generalized Whitney seminorms (|·|_{s,K})_{s≥0}, where |·|_{s,K} coincides with the classical Whitney seminorms for s in N_0. We equip also E(R^d) with a family (|·|_{s,L})_{s≥0} of those seminorms, where L shall be a a compact set with K in L-°. This family of seminorms on E(R^d) suffices to characterize the continuity properties of an extension operator E, since we can without loss of generality assume that E(E(K)) in D^s(L).
In Chapter 2, we introduce basic concepts and summarize the classical results of Whitney and Stein.
In Chapter 3, we modify the classical construction of Whitney's operators E_n and show that |E_n(·)|_{s,L}≤C|·|_{s,K} for s in[n,n+1).
In Chapter 4, we generalize a result of Frerick, Jordá and Wengenroth and show that LMI(1) for K implies the existence of an extension operator E without loss of derivatives, i.e. we have it fulfils |E(·)|_{s,L}≤C|·|_{s,K} for all s≥0. We show that a large class of self similar sets, which includes the Cantor set and the Sierpinski triangle, admits an extensions operator without loss of derivatives.
In Chapter 5 we generalize a result of Frerick, Jordá and Wengenroth and show that WLMI(r) for r≥1 implies the existence of a tame linear extension operator E having a homogeneous loss of derivatives, such that |E(·)|_{s,L}≤C|·|_{(r+ε)s,K} for all s≥0 and all ε>0.
In the last chapter we characterize the existence of an extension operator having an arbitrary loss of derivatives by the existence of measures on K.
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.
Industrial companies mainly aim for increasing their profit. That is why they intend to reduce production costs without sacrificing the quality. Furthermore, in the context of the 2020 energy targets, energy efficiency plays a crucial role. Mathematical modeling, simulation and optimization tools can contribute to the achievement of these industrial and environmental goals. For the process of white wine fermentation, there exists a huge potential for saving energy. In this thesis mathematical modeling, simulation and optimization tools are customized to the needs of this biochemical process and applied to it. Two different models are derived that represent the process as it can be observed in real experiments. One model takes the growth, division and death behavior of the single yeast cell into account. This is modeled by a partial integro-differential equation and additional multiple ordinary integro-differential equations showing the development of the other substrates involved. The other model, described by ordinary differential equations, represents the growth and death behavior of the yeast concentration and development of the other substrates involved. The more detailed model is investigated analytically and numerically. Thereby existence and uniqueness of solutions are studied and the process is simulated. These investigations initiate a discussion regarding the value of the additional benefit of this model compared to the simpler one. For optimization, the process is described by the less detailed model. The process is identified by a parameter and state estimation problem. The energy and quality targets are formulated in the objective function of an optimal control or model predictive control problem controlling the fermentation temperature. This means that cooling during the process of wine fermentation is controlled. Parameter and state estimation with nonlinear economic model predictive control is applied in two experiments. For the first experiment, the optimization problems are solved by multiple shooting with a backward differentiation formula method for the discretization of the problem and a sequential quadratic programming method with a line search strategy and a Broyden-Fletcher-Goldfarb-Shanno update for the solution of the constrained nonlinear optimization problems. Different rounding strategies are applied to the resulting post-fermentation control profile. Furthermore, a quality assurance test is performed. The outcomes of this experiment are remarkable energy savings and tasty wine. For the next experiment, some modifications are made, and the optimization problems are solved by using direct transcription via orthogonal collocation on finite elements for the discretization and an interior-point filter line-search method for the solution of the constrained nonlinear optimization problems. The second experiment verifies the results of the first experiment. This means that by the use of this novel control strategy energy conservation is ensured and production costs are reduced. From now on tasty white wine can be produced at a lower price and with a clearer conscience at the same time.
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.
Die A4-Strategie versucht, eine Antwort auf die Frage zu geben, ob es in der modernen Medienlandschaft optimale und effiziente Kommunikationsstrategien gibt, deren Erfolg nicht von der Höhe des Budgets abhängig ist und die gleichzeitig eine hohe Kundenbindung bewirken und eine effiziente Auswahl der Kommunikationsinstrumente sichert. Dies ist gerade für KMUs von besonderer Bedeutung, die sich in einem komplexen und globalisierten Marktumfeld bewegen. Die Marketingkommunikation ist nicht nur ein unvermeidliches Werkzeug, um die Verkaufszahlen zu steigern. Sie bedarf heutzutage auch einer durchdachten Strategie. Denn es wird erst eine erfolgreiche Interaktion zwischen diesen Partnern (Unternehmen und Kunden) stattfinden, wenn sowohl ein optimaler Unternehmenswert als auch ein Kundenwert generiert wird. Die A4-Strategie hilft zugleich dabei, Antworten auf die für eine optimale Marketingkommunikation relevante Fragen zu finden: Wer kann einkaufen? Wer kauft tatsächlich ein? Was sind die relevanten Informationen über den, der tatsächlich einkauft? Anhand der Antworten auf diese Frage wird ermittelt, wo und wie die potentielle Kundschaft besser akquiriert und wo und wie die bestehende Kundschaft optimal betreut werden kann. Dieses Konzept bietet eine strukturierte Herangehensweise und Vorgehensweise, um eine Kommunikationsstrategie je nach Situation zu entwickeln. Sie ist somit keine fertige Lösung, sondern schafft sie Rahmen für ein methodisches Entscheidungsprozess. Sie hilft zudem situationsadäquat Entscheidungen zu treffen und Handlungen vorzunehmen, die diese Entscheidungen konsequent umzusetzen.
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.
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.
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.
This thesis is focused on improving the knowledge on a group of threatened species, the European cave salamanders (genus Hydromantes). There are three main sections gathering studies dealing with different topics: Ecology (first part), Life traits (second part) and Monitoring methodologies (third part). First part starts with the study of the response of Hydromantes to the variation of climatic conditions, analysing 15 different localities throughout a full year (CHAPTER I; published in PEERJ in August 2015). After that, the focus moves on identify which is the operative temperature that these salamander experience, including how their body respond to variation of environmental temperature. This study was conducted using one of the most advanced tool, an infrared thermocamera, which gave the opportunity to perform detailed observation on salamanders body (CHAPTER II; published in JOURNAL OF THERMAL BIOLOGY in June 2016). In the next chapter we use the previous results to analyse the ecological niche of all eight Hydromantes species. The study mostly underlines the mismatch between macro- and microscale analysis of ecological niche, showing a weak conservatism of ecological niches within the evolution of species (CHAPTER III; unpublished manuscript). We then focus only on hybrids, which occur within the natural distribution of mainland species. Here, we analyse if the ecological niche of hybrids shows divergences from those of parental species, thus evaluating the power of hybrids adaptation (CHAPTER IV; unpublished manuscript). Considering that hybrids may represent a potential threat for parental species (in terms of genetic erosion and competition), we produced the first ecological study on an allochthonous mixed population of Hydromantes, analysing population structure, ecological requirements and diet. The interest on this particular population mostly comes by the fact that its members are coming from all three mainland Hydromantes species, and thus it may represent a potential source of new hybrids (CHAPTER V; accepted in AMPHIBIA-REPTILIA in October 2017). The focus than moves on how bioclimatic parameters affect species within their distributional range. Using as model species the microendemic H. flavus, we analyse the relationship between environmental suitability and local abundance of the species, also focusing on all intermediate dynamics which provide useful information on spatial variation of individual fitness (CHAPTER VI; submitted to SCIENTIFIC REPORTS in November 2017). The first part ends with an analysis of the interaction between Hydromantes and Batracobdella algira leeches, the only known ectoparasite for European cave salamanders. Considering that the effect of leeches on their hosts is potentially detrimental, we investigated if these ectoparasites may represent a further threat for Hydromantes (CHAPTER VII; submitted to INTERNATIONAL JOURNAL FOR PARASITOLOGY: PARASITES AND WILDLIFE in November 2017). The second part is related to the reproduction of Hydromantes. In the first study we perform analyses on the breeding behaviour of several females belonging to a single population, identifying differences and similarities occurring in cohorting females (CHAPTER VIII; published in NORTH-WESTERN JOURNAL OF ZOOLOGY in December 2015). In the second study we gather information from all Hydromantes species, analysing size and development of breeding females, and identifying a relationship between breeding time and climatic conditions (CHAPTER IX; submitted to SALAMANDRA in June 2017). In the last part of this thesis, we analyse two potential methods for monitoring Hydromantes populations. In the first study we evaluate the efficiency of the marking method involving Alpha tags (CHAPTER X; published in SALAMANDRA in October 2017). In the second study we focus on evaluating N-mixtures models as a methodology for estimating abundance in wild populations (CHAPTER XI; submitted to BIODIVERSITY & CONSERVATION in October 2017).
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.
There are large health, societal, and economic costs associated with attrition from psychological services. The recently emerged, innovative statistical tool of complex network analysis was used in the present proof-of-concept study to improve the prediction of attrition. Fifty-eight patients undergoing psychological treatment for mood or anxiety disorders were assessed using Ecological Momentary Assessments four times a day for two weeks before treatment (3,248 measurements). Multilevel vector autoregressive models were employed to compute dynamic symptom networks. Intake variables and network parameters (centrality measures) were used as predictors for dropout using machine-learning algorithms. Networks for patients differed significantly between completers and dropouts. Among intake variables, initial impairment and sex predicted dropout explaining 6% of the variance. The network analysis identified four additional predictors: Expected force of being excited, outstrength of experiencing social support, betweenness of feeling nervous, and instrength of being active. The final model with the two intake and four network variables explained 32% of variance in dropout and identified 47 out of 58 patients correctly. The findings indicate that patients" dynamic network structures may improve the prediction of dropout. When implemented in routine care, such prediction models could identify patients at risk for attrition and inform personalized treatment recommendations.
Production of biomass feedstock for methanation in Europe has focused on silages of maize and cereals. As ecological awareness has increased in the last several years, more attention is being focused on perennial energy crops (PECs). Studies of specific PECs have shown that their cultivation may enhance agrobiodiversity and increase soil organic carbon stocks while simultaneously providing valuable feedstock for methanation. This study was designed to compare soil quality indicators under annual energy crops (AECs), PECs and permanent grassland (PGL) on the landscape level in south-western Germany. At a total 25 study sites, covering a wide range of parent materials, the cropping systems were found adjacent to each other. Stands were commercially managed, and PECs included different species such as the Cup Plant, Tall Wheatgrass, Giant Knotweed, Miscanthus, Virginia Mallow and Reed Canary Grass. Soil sampling was carried out for the upper 20 cm of soil. Several soil quality indicators, including soil organic carbon (Corg), soil microbial biomass (Cmic), and aggregate stability, showed that PECs were intermediate between AEC and PGL systems. At landscape level, mean Corg content for (on average) 6.1-year-old stands of PEC was 22.37 (±7.53) g kg1, compared to 19.23 (±8.08) and 32.08 (±10.11) for AEC and PGL. Cmic contents were higher in PECs (356 ± 241 lgCg1) compared to AECs (291 ± 145) but significantly lower than under PGL (753 ± 417). The aggregate stability increased by almost 65% in PECs compared to AEC but was still 57% lower than in PGL. Indicator differences among cropping systems were more pronounced when inherent differences in the parent material were accounted for in the comparisons. Overall, these results suggest that the cultivation of PECs has positive effects on soil quality indicators. Thus, PECs may offer potential to make the production of biomass feedstock more sustainable.
The availability of data on the feeding habits of species of conservation value may be of great importance to develop analyses for both scientific and management purposes. Stomach flushing is a harmless technique that allowed us to collect extensive data on the feeding habits of six Hydromantes species. Here, we present two datasets originating from a three-year study performed in multiple seasons (spring and autumn) on 19 different populations of cave salamanders. The first dataset contains data of the stomach content of 1,250 salamanders, where 6,010 items were recognized; the second one reports the size of the intact prey items found in the stomachs. These datasets integrate considerably data already available on the diet of the European plethodontid salamanders, being also of potential use for large scale meta-analyses on amphibian diet.
Leeches can parasitize many vertebrate taxa. In amphibians, leech parasitism often has potential detrimental effects including population decline. Most of studies on the host-parasite interactions involving leeches and amphibians focus on freshwater environments, while they are very scarce for terrestrial amphibians. In this work, we studied the relationship between the leech Batracobdella algira and the European terrestrial salamanders of the genus Hydromantes, identifying environmental features related to the presence of the leeches and their possible effects on the hosts. We performed observation throughout Sardinia (Italy), covering the distribution area of all Hydromantes species endemic to this island. From September 2015 to May 2017, we conducted >150 surveys in 26 underground environments, collecting data on 2629 salamanders and 131 leeches. Water hardness was the only environmental feature correlated with the presence of B. algira, linking this leech to active karstic systems. Leeches were more frequently parasitizing salamanders with large body size. Body Condition Index was not significantly different between parasitized and non-parasitized salamanders. Our study shows the importance of abiotic environmental features for host-parasite interactions, and poses new questions on complex interspecific interactions between this ectoparasite and amphibians.
Ziel der Dissertation ist es, den Hochwasserschutz und das Management extremer Hoch-wasser für das Einzugsgebiet der Isar zu verbessern mit Hinblick darauf, wie sich vorhandene und neu zu schaffende Retentionsräume mit optimaler Wirkung für das gesamte Flusssystem einsetzen lassen. Dafür sind Kenntnisse über extreme Ereignisse und deren Auswirkung auf die betrachteten Einzugsgebiete notwendig. Großskalige Niederschläge in Mitteleuropa werden überwiegend durch Vb-artige Zugbahnen ausgelöst. Die Relevanz für Bayern zeigt die Auswertung des neuesten Kataloges der Vb-Zugbahnen für den Zeitraum 1959 bis 2015. In den Monaten April bis Oktober haben Vb-Zugbahnen zu ca. 30 % der beobachten Hochwasser beigetragen. Im Sommer führt sogar jedes zweite Vb-Tief zu Hochwasser. Im Donaueinzugsgebiet können 50 % der 20 größten Hochwasser direkt auf Vb-Zugbahnen zurückgeführt werden, weitere 25 % durch ähnliche Zugbahnen oder auf eine Vb aktiven Phase. Über die Hälfe der größten Hochwasser traten dabei in Bezug zu einer Serie von Vb-Tiefs auf. 60 % der Vb-Zugbahnen sind Teil einer Serie von Vb-Tiefs. Aus wiederkehrenden Niederschlägen persistenter Zugbahnen resultieren mehrgipflige Hochwasserwellen, die insbesondere für Rückhalteräume betrachtet werden müssen (DIN 19700). Die Detailuntersuchung erfolgt unter besonderer Beachtung der Untersuchungen zu den Vb-Zugbahnen. Das Isareinzugsgebiet mit 8900 km-² besitzt mit den Seen im Voralpenland große natürliche Retentionsräume und mit dem Sylvensteinspeicher im alpinen Einzugsgebiet den größten staatlichen Speicher Bayerns. Für die Wirkungsanalyse von gekoppelten Hoch-wasserrückhalteräumen in komplexen Einzugsgebieten müssen Ganglinien mit einem Nie-derschlag-Abfluss-Modell generiert werden, die den Wellenablauf des Hochwassers im ge-samten Einzugsgebiet repräsentieren. Die Dissertation analysiert, wie sich der Einsatz ver-schiedener Verfahren zur Vorgabe der Eingangsniederschläge auswirkt. Dabei liegt der Schwerpunkt der Untersuchung auf dem Niederschlagsverlauf. Es wird ein Verfahren zur Ableitung von Ganglinien aus standardisierten beobachteten Niederschlagsverläufen entwi-ckelt. Die Hochwasserganglinien, generiert aus synthetischen Niederschlagsverläufen der Bemessung, werden am Beispiel des Sylvensteinspeichers mit den drei größten abgelaufe-nen Hochwasserereignissen verglichen und diskutiert, ob mit dem neuen Verfahren die Cha-rakteristik der beobachten Hochwasser besser wiedergeben wird. Der Fokus liegt dabei auf der Wellenüberlagerung. Es kann für das ganze Gebiet gezeigt werden, dass die mit der neuen Methode standardisierten beobachteten Niederschlagsverläufe besser geeignet sind, die Wellenüberlagerung wiederzugeben, da zeitliche Unterschiede durch die Staueffekte an den Alpen berücksichtigt werden, wie sie bei Vb-Zugbahn geprägten Niederschlägen entste-hen. Es kann daher bei ähnlichen Fragestellungen empfohlen werden, diese Methode in der Praxis als Variante hinzuzuziehen, um die natürlichen Prozesse repräsentativer zu beschrei-ben. Für die Simulation mit dem N-A-Modell LARSIM werden die Unsicherheiten durch Varianten-rechnungen gezeigt. Es hat sich herausgestellt, dass nicht nur der Niederschlagsverlauf und die Vorbedingungen des Ereignisses eine große Auswirkung auf die Kalibrierung der Ab-flussbeiwerte im N-A-Modell haben, sondern auch das gewählte Flood-Routing-Verfahren und die Gerinnerauheit. Schließlich wird die Bewertung der potenziellen Standorte durchgeführt. Es wird berechnet, wo das Hochwasser zurückgehalten werden muss, um sowohl eine lokale Reduktion des Hochwasserscheitels, als auch gleichzeitig eine möglichst große Schutzwirkung für das Ge-samtsystem zu ermöglichen. Priorisiert werden Rückhaltestandorte, die praktisch umsetzbar sind und den größten Nutzen haben. Die Untersuchung einer Doppelwelle, die durch eine Serie von Vb-Zugbahnen entstehen kann, zeigt, wie die Einschätzung potenzieller Standorte verändern kann. Der alpine und zum Teil der voralpine Raum reagieren mit kurzen steilen Ganglinien und sind gegenüber Doppelwellen weniger sensitiv, weil kaum Wellenüberlagerung entsteht. Für den Sylvensteinspeicher, der im alpinen Raum liegt, können daher kurze Niederschlagspausen für eine schnelle Entlastung des Speicherraumes genutzt werden. Un-terhalb von Seen mit einem großen Retentionsvermögen erzeugen Doppelwellen aufgrund der langen Retentionsäste durch die Wellenüberlagerung deutlich höhere Abflüsse als Ein-zelwellen. Rückhalt an der oberen Isar ist unter diesen Kriterien am optimalsten. Empfohlene Maßnahmen - ohne Bauaufwand - konnten bereits umgesetzt werden und verbessern den Hochwasserschutz und das Hochwassermanagement an der Isar. Die Auswertungen zeigen, dass in den Monaten April, Mai, September und Oktober die Hochwasserereignisse in Folge von Vb-Zugbahnen im Zuge der Klimaveränderung häufiger und in den Sommermonaten extremer werden könnten.
This thesis considers the general task of computing a partition of a set of given objects such that each set of the partition has a cardinality of at least a fixed number k. Among such kinds of partitions, which we call k-clusters, the objective is to find the k-cluster which minimises a certain cost derived from a given pairwise difference between objects which end up the same set. As a first step, this thesis introduces a general problem, denoted by (||.||,f)-k-cluster, which models the task to find a k-cluster of minimum cost given by an objective function computed with respect to specific choices for the cost functions f and ||.||. In particular this thesis considers three different choices for f and also three different choices for ||.|| which results in a total of nine different variants of the general problem. Especially with the idea to use the concept of parameterised approximation, we first investigate the role of the lower bound on the cluster cardinalities and find that k is not a suitable parameter, due to remaining NP-hardness even for the restriction to the constant 3. The reductions presented to show this hardness yield the even stronger result which states that polynomial time approximations with some constant performance ratio for any of the nine variants of (||.||,f)-k-cluster require a restriction to instances for which the pairwise distance on the objects satisfies the triangle inequality. For this restriction to what we informally refer to as metric instances, constant-factor approximation algorithms for eight of the nine variants of (||.||,f)-k-cluster are presented. While two of these algorithms yield the provably best approximation ratio (assuming P!=NP), others can only guarantee a performance which depends on the lower bound k. With the positive effect of the triangle inequality and applications to facility location in mind, we discuss the further restriction to the setting where the given objects are points in the Euclidean metric space. Considering the effect of computational hardness caused by high dimensionality of the input for other related problems (curse of dimensionality) we check if this is also the source of intractability for (||.||,f)-k-cluster. Remaining NP-hardness for restriction to small constant dimensionality however disproves this theory. We then use parameterisation to develop approximation algorithms for (||.||,f)-k-cluster without restriction to metric instances. In particular, we discuss structural parameters which reflect how much the given input differs from a metric. This idea results in parameterised approximation algorithms with parameters such as the number of conflicts (our name for pairs of objects for which the triangle inequality is violated) or the number of conflict vertices (objects involved in a conflict). The performance ratios of these parameterised approximations are in most cases identical to those of the approximations for metric instances. This shows that for most variants of (||.||,f)-k-cluster efficient and reasonable solutions are also possible for non-metric instances.
At any given moment, our senses are assaulted with a flood of information from the environment around us. We need to pick our way through all this information in order to be able to effectively respond to that what is relevant to us. In most cases we are usually able to select information relevant to our intentions from what is not relevant. However, what happens to the information that is not relevant to us? Is this irrelevant information completely ignored so that it does not affect our actions? The literature suggests that even though we mayrnignore an irrelevant stimulus, it may still interfere with our actions. One of the ways in which irrelevant stimuli can affect actions is by retrieving a response with which it was associated. An irrelevant stimulus that is presented in close temporal contiguity with a relevant stimulus can be associated with the response made to the relevant stimulus " an observation termed distractor-response binding (Rothermund, Wentura, & De Houwer, 2005). The studies presented in this work take a closer look at such distractor-response bindings, and therncircumstances in which they occur. Specifically, the study reported in chapter 6 examined whether only an exact repetition of the distractor can retrieve the response with which it was associated, or whether even similar distractors may cause retrieval. The results suggested that even repeating a similar distractor caused retrieval, albeit less than an exact repetition. In chapter 7, the existence of bindings between a distractor and a response were tested beyond arnperceptual level, to see whether they exist at an (abstract) conceptual level. Similar to perceptual repetition, distractor-based retrieval of the response was observed for the repetition of concepts. The study reported in chapter 8 of this work examined the influence of attention on the feature-response binding of irrelevant features. The results pointed towards a stronger binding effects when attention was directed towards the irrelevant feature compared to whenrnit was not. The study in chapter 9 presented here looked at the processes underlying distractor-based retrieval and distractor inhibition. The data suggest that motor processes underlie distractor-based retrieval and cognitive process underlie distractor inhibition. Finally, the findings of all four studies are also discussed in the context of learning.
Water-deficit stress, usually shortened to water- or drought stress, is one of the most critical abiotic stressors limiting plant growth, crop yield and quality concerning food production. Today, agriculture consumes about 80-90% of the global freshwater used by humans and about two thirds are used for crop irrigation. An increasing world population and a predicted rise of 1.0-2.5-°C in the annual mean global temperature as a result of climate change will further increase the demand of water in agriculture. Therefore, one of the most challenging tasks of our generation is to reduce the amount water used per unit yield to satisfy the second UN Sustainable Development Goal and to ensure global food security. Precision agriculture offers new farming methods with the goal to improve the efficiency of crop production by a sustainable use of resources. Plant responses to water stress are complex and co-occur with other environmental stresses under natural conditions. In general, water stress causes plant physiological and biochemical changes that depend on the severity and the duration of the actual plant water deficit. Stomatal closure is one of the first responses to plant water stress causing a decrease in plant transpiration and thus an increase in plant temperature. Prolonged or severe water stress leads to irreversible damage to the photosynthetic machinery and is associated with decreasing chlorophyll content and leaf structural changes (e.g., leaf rolling). Since a crop can already be irreversibly damaged by only mild water deficit, a pre-visual detection of water stress symptoms is essential to avoid yield loss. Remote sensing offers a non-destructive and spatio-temporal method for measuring numerous physiological, biochemical and structural crop characteristics at different scales and thus is one of the key technologies used in precision agriculture. With respect to the detection of plant responses to water stress, the current state-of-the-art hyperspectral remote sensing imaging techniques are based on measurements of thermal infrared emission (TIR; 8-14 -µm), visible, near- and shortwave infrared reflectance (VNIR/SWIR; 0.4-2.5 -µm), and sun-induced fluorescence (SIF; 0.69 and 0.76 -µm). It is, however, still unclear how sensitive these techniques are with respect to water stress detection. Therefore, the overall aim of this dissertation was to provide a comparative assessment of remotely sensed measures from the TIR, SIF, and VNIR/SWIR domains for their ability to detect plant responses to water stress at ground- and airborne level. The main findings of this thesis are: (i) temperature-based indices (e.g., CWSI) were most sensitive for the detection of plant water stress in comparison to reflectance-based VNIR/SWIR indices (e.g., PRI) and SIF at both, ground- and airborne level, (ii) for the first time, spectral emissivity as measured by the new hyperspectral TIR instrument could be used to detect plant water stress at ground level. Based on these findings it can be stated that hyperspectral TIR remote sensing offers great potential for the detection of plant responses to water stress at ground- and airborne level based on both TIR key variables, surface temperature and spectral emissivity. However, the large-scale application of water stress detection based on hyperspectral TIR measures in precision agriculture will be challenged by several problems: (i) missing thresholds of temperature-based indices (e.g., CWSI) for the application in irrigation scheduling, (ii) lack of current TIR satellite missions with suitable spectral and spatial resolution, (iii) lack of appropriate data processing schemes (including atmosphere correction and temperature emissivity separation) for hyperspectral TIR remote sensing at airborne- and satellite level.
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.
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.
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.