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The demand for reliable statistics has been growing over the past decades, because more and more political and economic decisions are based on statistics, e.g. regional planning, allocation of funds or business decisions. Therefore, it has become increasingly important to develop and to obtain precise regional indicators as well as disaggregated values in order to compare regions or specific groups. In general, surveys provide the information for these indicators only for larger areas like countries or administrative divisions. However, in practice, it is more interesting to obtain indicators for specific subdivisions like on NUTS 2 or NUTS 3 levels. The Nomenclature of Units for Territorial Statistics (NUTS) is a hierarchical system of the European Union used in statistics to refer to subdivisions of countries. In many cases, the sample information on such detailed levels is not available. Thus, there are projects such as the European Census, which have the goal to provide precise numbers on NUTS 3 or even community level. The European Census is conducted amongst others in Germany and Switzerland in 2011. Most of the participating countries use sample and register information in a combined form for the estimation process. The classical estimation methods of small areas or subgroups, such as the Horvitz-Thompson (HT) estimator or the generalized regression (GREG) estimator, suffer from small area-specific sample sizes which cause high variances of the estimates. The application of small area methods, for instance the empirical best linear unbiased predictor (EBLUP), reduces the variance of the estimates by including auxiliary information to increase the effective sample size. These estimation methods lead to higher accuracy of the variables of interest. Small area estimation is also used in the context of business data. For example during the estimation of the revenues of specific subgroups like on NACE 3 or NACE 4 levels, small sample sizes can occur. The Nomenclature statistique des activités économiques dans la Communauté européenne (NACE) is a system of the European Union which defines an industry standard classification. Besides small sample sizes, business data have further special characteristics. The main challenge is that business data have skewed distributions with a few large companies and many small businesses. For instance, in the automotive industry in Germany, there are many small suppliers but only few large original equipment manufacturers (OEM). Altogether, highly influential units and outliers can be observed in business statistics. These extreme values in connection with small sample sizes cause severe problems when standard small area models are applied. These models are generally based on the normality assumption, which does not hold in the case of outliers. One way to solve these peculiarities is to apply outlier robust small area methods. The availability of adequate covariates is important for the accuracy of the above described small area methods. However, in business data, the auxiliary variables are hardly available on population level. One of several reasons for that is the fact that in Germany a lot of enterprises are not reflected in business registers due to truncation limits. Furthermore, only listed enterprises or companies which trespass specific thresholds are obligated to publish their results. This limits the number of potential auxiliary variables for the estimation. Even though there are issues with available covariates, business data often include spatial dependencies which can be used to enhance small area methods. Next to spatial information based on geographic characteristics, group-specific similarities like related industries based on NACE codes can be used. For instance, enterprises from the same NACE 2 level, e.g. sector 47 retail trade, behave more similar than two companies from different NACE 2 levels, e.g. sector 05 mining of coal and sector 64 financial services. This spatial correlation can be incorporated by extending the general linear mixed model trough the integration of spatially correlated random effects. In business data, outliers as well as geographic or content-wise spatial dependencies between areas or domains are closely linked. The coincidence of these two factors and the resulting consequences have not been fully covered in the relevant literature. The only approach that combines robust small area methods with spatial dependencies is the M-quantile geographically weighted regression model. In the context of EBLUP-based small area models, the combination of robust and spatial methods has not been considered yet. Therefore, this thesis provides a theoretical approach to this scientific and practical problem and shows its relevance in an empirical study.
There is a lot of evidence for the impact of acute glucocorticoid treatment on hippocampus-dependent explicit learning and memory (memory for facts and events). But there have been few studies, investigating the effect of glucocorticoids on implicit learning and memory. We conducted three studies with different methodology to investigate the effect of glucocorticoids on different forms of implicit learning. In Study 1, we investigated the effect of cortisol depletion on short-term habituation in 49 healthy subjects. 25 participants received oral metyrapone (1500 mg) to suppress endogenous cortisol production, while 24 controls received oral placebo. Eye blink electromyogram (EMG) responses to 105 dB acoustic startle stimuli were assessed. Effective endogenous cortisol suppression had no effect on short-term habituation of the startle reflex, but startle eye blink responses were significantly increased in the metyrapone group. The latter findings are in line with previous human studies, which have shown that excess cortisol, sufficient to fully occupy central nervous system (CNS) corticosteroid receptors, may reduce startle eye blink. This effect may be mediated by CNS mechanisms controlling cortisol feedback. In Study 2, we investigated delay or trace eyeblink conditioning in a patient group with a relative hypocortisolism (30 patients with fibromyaligia syndrome/FMS) compared to 20 healthy control subjects. Conditioned eyeblink response probability was assessed by EMG. Morning cortisol levels, ratings of depression, anxiety and psychosomatic complaints as well as general symptomatology and psychological distress were assessed. As compared to healthy controls FMS patients showed lower morning cortisol levels, and trace eyeblink conditioning was facilitated whereas delay eyeblink conditioning was reduced. Cortisol measures correlate significantly only with trace eyeblink conditioning. Our results are in line with studies of pharmacologically induced hyper- and hypocortisolism, which affected trace eyeblink conditioning. We suggest that endocrine mechanisms affecting hippocampus-mediated forms of associative learning may play a role in the generation of symptoms in these patients.rnIn Study 3, we investigated the effect of excess cortisol on implicit sequence learning in healthy subjects. Oral cortisol (30 mg) was given to 29 participants, whereas 31 control subjects received placebo. All volunteers performed a 5-choice serial reaction time task (SRTT). The reaction speed of every button-press was determined and difference-scores were calculated as a proof of learning. Compared to the control group, we found a delayed learning in the cortisol group at the very beginning of the task. This study is the first human investigation, indicating impaired implicit memory function after exogenous administration of the stress hormone cortisol. Our findings support a previous neuroimaging study, which suggested that the medial temporal lobe (including the hippocampus) is also active in implicit sequence learning, but our results may also depend on the engagement of other brain structures.
This work is concerned with two kinds of objects: regular expressions and finite automata. These formalisms describe regular languages, i.e., sets of strings that share a comparatively simple structure. Such languages - and, in turn, expressions and automata - are used in the description of textual patterns, workflow and dependence modeling, or formal verification. Testing words for membership in any given such language can be implemented using a fixed - i.e., finite - amount of memory, which is conveyed by the phrasing finite-automaton. In this aspect they differ from more general classes, which require potentially unbound memory, but have the potential to model less regular, i.e., more involved, objects. Other than expressions and automata, there are several further formalisms to describe regular languages. These formalisms are all equivalent and conversions among them are well-known.However, expressions and automata are arguably the notions which are used most frequently: regular expressions come natural to humans in order to express patterns, while finite automata translate immediately to efficient data structures. This raises the interest in methods to translate among the two notions efficiently. In particular,the direction from expressions to automata, or from human input to machine representation, is of great practical relevance. Probably the most frequent application that involves regular expressions and finite automata is pattern matching in static text and streaming data. Common tools to locate instances of a pattern in a text are the grep application or its (many) derivatives, as well as awk, sed and lex. Notice that these programs accept slightly more general patterns, namely ''POSIX expressions''. Concerning streaming data, regular expressions are nowadays used to specify filter rules in routing hardware.These applications have in common that an input pattern is specified in form a regular expression while the execution applies a regular automaton. As it turns out, the effort that is necessary to describe a regular language, i.e., the size of the descriptor,varies with the chosen representation. For example, in the case of regular expressions and finite automata, it is rather easy to see that any regular expression can be converted to a finite automaton whose size is linear in that of the expression. For the converse direction, however, it is known that there are regular languages for which the size of the smallest describing expression is exponential in the size of the smallest describing automaton.This brings us to the subject at the core of the present work: we investigate conversions between expressions and automata and take a closer look at the properties that exert an influence on the relative sizes of these objects.We refer to the aspects involved with these consideration under the titular term of Relative Descriptional Complexity.
Durch Bodendegradation werden jedes Jahr weltweit große Schäden verursacht. Die beiden Hauptverursacher für die globale Bodendegradation sind die Wind- und die Wassererosion. Für die Planung von effizienten Schutzmaßnahmen oder regionalen Managementplänen ist es deshalb wichtig zu verstehen, dass die beiden Prozesse nicht nur als abgekoppelte Phänomene auftreten. Auch wenn seit einiger Zeit das Bewusstsein hierfür zugenommen hat und eine steigende Anzahl von Bodenerosionsstudien auf diesen Sachverhalt eingehen, so bestehen vor allem bei der Abschätzung der relativen Bedeutung und dem Verständnis der vorhandenen Interaktionen zwischen der Wind- und Wassererosion noch substantielle Wissenslücken. Da indirekte Messverfahren, wie beispielsweise die Luftbildauswertung oder die Fernerkundung, für mikro-skalige Prozessstudien ungeeignet sind, beschränken sich die Studien zur Erfassung der Interaktion beider Prozesse zumeist auf die direkten und/oder experimentellen Messungen. Ein Vergleich der Abtragsraten und eine Untersuchung der Interaktionen zwischen der Wind- und der Wassererosion ist jedoch sehr schwierig, da es bislang kein Messinstrument gibt, dass einfach und schnell, die durch Wind, Wasser oder deren Zusammenwirken verursachten Erosionsraten auf natürlichen Oberflächen bestimmen kann. Aus diesem Grund wurde im Rahmen dieses Dissertationsprojekts erstmals, ein mobiler Windkanal mit integrierter Beregnungsanlage konzipiert und umgesetzt. Seine simulierten Wind- und Niederschlagseigenschaften wurden in Labormessungen mit einem Laserdistrometer, Niederschlagssammlern, Anemometern und Nebelversuchen bestimmt. Die beim Einsatz der Anlage in unterschiedlichen Messkampagnen gewonnenen Erkenntnisse zu seinem Aufbau flossen stetig in die Weiterentwicklung des Kanals ein. Die Qualität der simulierten Bedingungen im Kanal können nach den Modifikationen und unter Einbeziehung der Anforderungen an einen geländefähigen Kanal mit guter Mobilität, als sehr gut bezeichnet werden. Insbesondere die Reproduzierbarkeit der simulierten Bedingungen treten hier positiv hervor. Die angestrebten Ziele dieser Arbeit konnten weitestgehend erfüllt werden. Mit dem mobilen Windkanal mit integrierter Beregnungsanlage steht in Zukunft eine Anlage zur Verfügung, mit der die Abtragsraten der Wind- und Wassererosion im Gelände, getrennt und in ihrer gemeinsamen Wirkung, gemessen werden können. Durch den Einsatz der Anlage ist es möglich, einige der noch offenen wissenschaftlichen Fragen zur relativen Bedeutung und Interaktion der beiden Prozesse zukünftig zu untersuchen, um weitere Erkenntnisse über Ihren Einfluss auf die Bodendegradation, in Abhängigkeit von Landnutzungsänderungen und dem Klimawandel, zu erhalten.
By rodent studies it has been shown that the mineralocorticoid receptor (MR) is a candidate gene for the investigation of cognitive functions comparable to human executive function. The present work addresses the question if polymorphisms in the MR gene can act as a "probe" to explain a part of the interindividual variance of human executive functions. For this purpose, 72 healthy young participants were assigned to four equally sized groups, concerning their particular MR genotype for two common MR polymorphisms. They were investigated in an electroencephalogram (EEG) test session, accomplishing two cognitive tests while delivering saliva samples for subsequent cortisol measures. The two tests chosen for the assessment of executive functions were the Attention Network Task (ANT) and a modified version of the Wisconsin Card Sorting Test (WCST).Chapter 1 of the present work reports of the rational bases for the empirical approach, which were built up on a broad theoretical background presented in Chapter 2. In the third chapter, the investigation and results of the statistical analysis for behavioral data (i.e. reaction times, accuracy/error rates) are presented. No association with MR polymorphisms was found for the reaction times of both tests. For the accuracy rate, differences between genotype groups were found for ANT and WCST, indicating an association of MR polymorphisms and accuracy in the Alertness and Executive Control network of the ANT and during the detection of an intradimensional shift in the WCST. Data acquisition and the results for EEG data analyses are presented in Chapter 4. The results show that groups differing for MR genotype show different activity over prefrontal motor areas during the process of answering to the ANT. Those group differences again were prominent for the Alertness and Executive Control network. A tendency for further significant group differences was found for activity on frontopolar positions in extradimensional rule switching. Chapter 5 summarizes the findings for the analysis of salivary free cortisol, showing a tendency for an association between MR polymorphisms and a mildly stimulated Hypothalamus-pituitary-adrenal (HPA) axis during the test situation. The results of the different measures are integrated and discussed in Chapter 6 within the scope of novel findings in investigating the functionality of the chosen MR polymorphisms. Finally, Chapter 7 gives an outlook on the methodology and constraints of future research strategies to further describe the role of the MR in human cognitive function.
The article deals with the untenable overloading of German criminal trial court judges presenting the overloading in detail and analyzing its reasons and consequences. In this context, serious failures by the German federal and state executive and legislative organs as well as undesirable developments of the Federal Constitutional Court's (BVerfG and the Federal Supreme Court of Justice's BGH) case law.
Monatelange Wartezeiten auf einen ambulanten Psychotherapieplatz sind der Regelfall im deutschen Gesundheitssystem. Die Veränderung der Symptombelastung der Patienten in der Wartezeit ist bislang allerdings kaum empirisch untersucht worden. In der vorliegenden Arbeit wurden an einer Stichprobe ambulanter Psychotherapiepatienten die Ausprägungen und Veränderungen der allgemeinen psychischen Symptombelastung während der durchschnittlich sechsmonatigen Wartezeit auf den Psychotherapieplatz untersucht. Zudem wurde überprüft, mit welchen Merkmalen die Symptombelastungen zum Zeitpunkt der Anmeldung zur Therapie und zum Zeitpunkt des Erstgesprächs sowie ihre Veränderungen in der Wartezeit zusammenhängen. Die dabei untersuchten Persönlichkeitsmerkmale wurden aus theoretischen Rahmenmodellen abgeleitet. Hierzu gehören die aktionale Entwicklungspsychologie, das handlungstheoretische Partialmodell der Persönlichkeit mit der darin eingeordneten Vertrauens-Trias und das Androgynie-Modell der psychischen Gesundheit. Nach einem direkten Veränderungskriterium zeigten 48 % der Patienten in der Wartezeit keine bedeutsame Veränderung, 29 % eine Verbesserung und 23 % eine Verschlechterung. Durch die bei der Anmeldung erfassten Persönlichkeitsmerkmale konnten Verbesserungen, Verschlechterungen und gleichbleibende Symptombelastungen in der Wartezeit anhand einer multinomialen logistischen Regressionsanalyse für 60 % der Patienten korrekt vorausgesagt werden. Eine traditionelle normative Geschlechtsrollen-Orientierung stellt einen negativen Prädiktor für eine Verbesserung dar. Soziales Vertrauen konnte Verschlechterungen negativ vorhersagen. Bei Hoffnungslosigkeit handelt es sich um einen marginal negativen Prädiktor für eine Verbesserung. Ein hoch ausgeprägtes Selbstkonzept eigener Fähigkeiten ist ein positiver Prädiktor für eine Verschlechterung. Hinsichtlich der soziodemografischen und störungsbezogenen Merkmale konnten das Alter, das Geschlecht und die Anzahl der Diagnosen die Veränderungen der Symptombelastung in der Wartezeit zu 54 % korrekt vorhersagen. Das Alter ist ein positiver Prädiktor für eine Verschlechterung. Weibliches Geschlecht und die Anzahl an Diagnosen sind negative Prädiktoren für eine Verbesserung. Darüber hinaus wurden differenzierte Zusammenhänge zwischen den Persönlichkeitsmerkmalen und der Symptombelastung exploratorisch untersucht.
Primo ist ein Softwareprodukt der Firma Ex Libris und ermöglicht eine einheitliche Einschlitz-Suche im Bibliothekskatalog, Artikeldatenbanken und anderen Datenquellen wie etwa digitalen Repositorien. An der Universitätsbibliothek Trier wird Primo eingeführt und die Artikeldatenbank Primo Central lizenziert mit dem primären Ziel, Zeitschriftenartikel und Bibliotheksbestand über eine Suchoberfläche zu erschließen. Im Folgenden wird insbesondere auf diese Implementierung eingegangen und einige Beobachtungen aus der Projektphase wiedergegeben. Die Arbeiten an Primo laufen bei uns momentan noch und eine öffentlichernVersion zur Ablösung des Online-Katalogs ist für 2012 geplant. Nach einer kurzen Einführung und Beschreibung der Funktionsweise von Primo werde ich folgende Thesen weiter ausführen: (1) Eine einheitliche Einschlitz-Suche wird aufgrund der Heterogenität derrnMetadatenqualität nur bedingt erreicht. (2) Die Auswertung großer Treffermengen wird mit Primo insbesondere durch diernFacettierungen in einem großen Masse unterstützt. Allerdings suggerieren diernFacettenwerte eine Vollständigkeit, die in dieser Weise nicht gewährleistet wird. Ebenfalls können Facettenwerte abhängig von der Sortierreihenfolge verloren gehen. (3) Die Darstellung der Daten kann man auf vielseitige Weise anpassen, so dass auch lokale Besonderheiten abgebildet werden können. Es wird als Beispiel gezeigt, wie wir die lokalen Signaturen in Primo zur Anzeige gebracht haben.
The 22nd annual conference of the European Consortium for Church and State Research took place from 11 to 14 November 2010 in Trier, Germany. Founded in 1989, the Consortium unites experts of law and religion of all Member States of the European Union. In annual meetings, various topics of the relations between religions and states within the European Union are discussed. This year- conference was dedicated to the topic "Religion in Public Education". Scholars from 27 European countries discussed inter alia the role of religion in the European member states" educational systems, opting out of school obligations for religious reasons, home schooling as well as religious dress and symbols in public schools. The present proceedings contain the opening lectures, all country reports and a report on the European Union law.
Stress represents a significant problem for Western societies inducing costs as high as 3-4 % of the European gross national products, a burden that is continually increasing (WHO Briefing, EUR/04/5047810/B6). The classical stress response system is the hypothalamic-pituitary-adrenal (HPA) axis which acts to restore homeostasis after disturbances. Two major components within the HPA axis system are the glucocorticoid receptor (GR) and the mineralocorticoid receptor (MR). Cortisol, released from the adrenal glands at the end of the HPA axis, binds to MRs and with a 10 fold lower affinity to GRs. Both, impairment of the HPA axis and an imbalance in the MR/GR ratio enhances the risk for infection, inflammation and stress related psychiatric disorders. Major depressive disorder (MDD) is characterised by a variety of symptoms, however, one of the most consistent findings is the hyperactivity of the HPA axis. This may be the result of lower numbers or reduced activity of GRs and MRs. The GR gene consists of multiple alternative first exons resulting in different GR mRNA transcripts whereas for the MR only two first exons are known to date. Both, the human GR promoter 1F and the homologue rat Gr promoter 1.7 seem to be susceptible to methylation during stressful early life events resulting in lower 1F/1.7 transcript levels. It was proposed that this is due to methylation of a NGFI-A binding site in both, the rat promoter 1.7 and the human promoter 1F. The research presented in this thesis was undertaken to determine the differential expression and methylation patterns of GR and MR variants in multiple areas of the limbic brain system in the healthy and depressed human brain. Furthermore, the transcriptional control of the GR transcript 1F was investigated as expression changes of this transcript were associated with MDD, childhood abuse and early life stress. The role of NGFI-A and several other transcription factors on 1F regulation was studied in vitro and the effect of Ngfi-a overexpression on the rat Gr promoter 1.7 in vivo. The susceptibility to epigenetic programming of several GR promoters was investigated in MDD. In addition, changes in methylation levels have been determined in response to a single acute stressor in rodents. Our results showed that GR and MR first exon transcripts are differentially expressed in the human brain, but this is not due to epigenetic programming. We showed that NGFI-A has no effect on endogenous 1F/1.7 expression in vitro and in vivo. We provide evidence that the transcription factor E2F1 is a major element in the transcriptional complex necessary to drive the expression of GR 1F transcripts. In rats, highly individual methylation patterns in the paraventricular nucleus of the hypothalamus (PVN) suggest that this is not related to the stressor but can rather be interpreted as pre-existing differences. In contrast, the hippocampus showed a much more uniform epigenetic status, but still is susceptible to epigenetic modification even after a single acute stress suggesting a differential "state‟ versus "trait‟ regulation of the GR gene in different brain regions. The results of this thesis have given further insight in the complex transcriptional regulation of GR and MR first exons in health and disease. Epigenetic programming of GR promoters seems to be involved in early life stress and acute stress in adult rats; however, the susceptibility to methylation in response to stress seems to vary between brain regions.