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Determining the exact position of a forest inventory plot—and hence the position of the sampled trees—is often hampered by a poor Global Navigation Satellite System (GNSS) signal quality beneath the forest canopy. Inaccurate geo-references hamper the performance of models that aim to retrieve useful information from spatially high remote sensing data (e.g., species classification or timber volume estimation). This restriction is even more severe on the level of individual trees. The objective of this study was to develop a post-processing strategy to improve the positional accuracy of GNSS-measured sample-plot centers and to develop a method to automatically match trees within a terrestrial sample plot to aerial detected trees. We propose a new method which uses a random forest classifier to estimate the matching probability of each terrestrial-reference and aerial detected tree pair, which gives the opportunity to assess the reliability of the results. We investigated 133 sample plots of the Third German National Forest Inventory (BWI, 2011"2012) within the German federal state of Rhineland-Palatinate. For training and objective validation, synthetic forest stands have been modeled using the Waldplaner 2.0 software. Our method has achieved an overall accuracy of 82.7% for co-registration and 89.1% for tree matching. With our method, 60% of the investigated plots could be successfully relocated. The probabilities provided by the algorithm are an objective indicator of the reliability of a specific result which could be incorporated into quantitative models to increase the performance of forest attribute estimations.
This paper describes the concept of the hyperspectral Earth-observing thermal infrared (TIR) satellite mission HiTeSEM (High-resolution Temperature and Spectral Emissivity Mapping). The scientific goal is to measure specific key variables from the biosphere, hydrosphere, pedosphere, and geosphere related to two global problems of significant societal relevance: food security and human health. The key variables comprise land and sea surface radiation temperature and emissivity, surface moisture, thermal inertia, evapotranspiration, soil minerals and grain size components, soil organic carbon, plant physiological variables, and heat fluxes. The retrieval of this information requires a TIR imaging system with adequate spatial and spectral resolutions and with day-night following observation capability. Another challenge is the monitoring of temporally high dynamic features like energy fluxes, which require adequate revisit time. The suggested solution is a sensor pointing concept to allow high revisit times for selected target regions (1"5 days at off-nadir). At the same time, global observations in the nadir direction are guaranteed with a lower temporal repeat cycle (>1 month). To account for the demand of a high spatial resolution for complex targets, it is suggested to combine in one optic (1) a hyperspectral TIR system with ~75 bands at 7.2"12.5 -µm (instrument NEDT 0.05 K"0.1 K) and a ground sampling distance (GSD) of 60 m, and (2) a panchromatic high-resolution TIR-imager with two channels (8.0"10.25 -µm and 10.25"12.5 -µm) and a GSD of 20 m. The identified science case requires a good correlation of the instrument orbit with Sentinel-2 (maximum delay of 1"3 days) to combine data from the visible and near infrared (VNIR), the shortwave infrared (SWIR) and TIR spectral regions and to refine parameter retrieval.
Die organische Bodensubstanz (OBS) ist eine fundamentale Steuergröße aller biogeochemischen Prozesse und steht in engem Zusammenhang zu Kohlenstoffkreisläufen und globalem Klima. Die derzeitige Herausforderung der Ökosystemforschung ist die Identifizierung der für die Bodenqualität relevanten Bioindikatoren und deren Erfassung mit Methoden, die eine nachhaltige Nutzung der OBS in großem Maßstab überwachen und damit zu globalen Erderkundungsprogrammen beitragen können. Die fernerkundliche Technik der Vis-NIR Spektroskopie ist eine bewährte Methode für die Beurteilung und das Monitoring von Böden, wobei ihr Potential bezüglich der Erfassung biologischer und mikrobieller Bodenparameter bisher umstritten ist. Das Ziel der vorgestellten Arbeit war die quantitative und qualitative Untersuchung der OBS von Ackeroberböden mit unterschiedlichen Methoden und variierender raumzeitlicher Auflösung sowie die anschließende Bewertung des Potentials non-invasiver, spektroskopischer Methoden zur Erfassung ausgewählter Parameter dieser OBS. Dafür wurde zunächst eine umfassende lokale Datenbank aus chemischen, physikalischen und biologischen Bodenparametern und dazugehörigen Bodenspektren einer sehr heterogenen geologischen Region mit gemäßigten Klima im Südwesten Deutschlands erstellt. Auf dieser Grundlage wurde dann das Potential der Bodenspektroskopie zur Erfassung und Schätzung von Feld- und Geländedaten ausgewählter OBS Parameter untersucht. Zusätzlich wurde das Optimierungspotential der Vorhersagemodelle durch statistische Vorverarbeitung der spektralen Daten getestet. Die Güte der Vorhersagewahrscheinlichkeit gebräuchlicher fernerkundlicher Bodenparameter (OC, N) konnte für im Labor erhobene Hyperspektralmessungen durch statistische Optimierungstechniken wie Variablenselektion und Wavelet-Transformation verbessert werden. Ein zusätzliches Datenset mit mikrobiellen/labilen OBS Parametern und Felddaten wurde untersucht um zu beurteilen, ob Bodenspektren zur Vorhersage genutzt werden können. Hierzu wurden mikrobieller Kohlenstoff (MBC), gelöster organischer Kohlenstoff (DOC), heißwasserlöslicher Kohlenstoff (HWEC), Chlorophyll α (Chl α) und Phospholipid-Fettsäuren (PLFAs) herangezogen. Für MBC und DOC konnte abhängig von Tiefe und Jahreszeit eine mittlere Güte der Vorhersagewahrscheinlichkeit erreicht werden, wobei zwischen hohen und niedrigen Konzentration unterschieden werden konnte. Vorhersagen für OC und PLFAs (Gesamt-PLFA-Gehalt sowie die mikrobiellen Gruppen der Bakterien, Pilze und Algen) waren nicht möglich. Die beste Prognosewahrscheinlichkeit konnte für das Chlorophyll der Grünalgen an der Bodenoberfläche (0-1cm Bodentiefe) erzielt werden, welches durch Korrelation mit MBC vermutlich auch für dessen gute Vorhersagewahrscheinlichkeit verantwortlich war. Schätzungen des Gesamtgehaltes der OBS, abgeleitet durch OC, waren hingegen nicht möglich, was der hohen Dynamik der mikrobiellen OBS Parameter an der Bodenoberfläche zuzuschreiben ist. Das schränkt die Repräsentativität der spektralen Messung der Bodenoberfläche zeitlich ein. Die statistische Optimierungstechnik der Variablenselektion konnte für die Felddaten nur zu einer geringen Verbesserung der Vorhersagemodelle führen. Die Untersuchung zur Herkunft der organischen Bestandteile und ihrer Auswirkungen auf die Quantität und Qualität der OBS konnte die mikrobielle Nekromasse und die Gruppe der Bodenalgen als zwei mögliche weitere signifikante Quellen für die Entstehung und Beständigkeit der OBS identifizieren. Insgesamt wird der mikrobielle Beitrag zur OBS höher als gemeinhin angenommen eingestuft. Der Einfluss mikrobieller Bestandteile konnte für die OBS Menge, speziell in der mineralassoziierten Fraktion der OBS in Ackeroberböden, sowie für die OBS Qualität hinsichtlich der Korrelation von mikrobiellen Kohlenhydraten und OBS Stabilität gezeigt werden. Die genaue Quantifizierung dieser OBS Parameter und ihre Bedeutung für die OBS Dynamik sowie ihre Prognostizierbarkeit mittels spektroskopischer Methoden ist noch nicht vollständig geklärt. Für eine abschließende Beurteilung sind deshalb weitere Studien notwendig.
Dry tropical forests are facing massive conversion and degradation processes and they are the most endangered forest type worldwide. One of the largest dry forest types are Miombo forests that stretch across the Southern African subcontinent and the proportionally largest part of this type can be found in Angola. The study site of this thesis is located in south-central Angola. The country still suffers from the consequences of the 27 years of civil war (1975-2002) that provides a unique socio-economic setting. The natural characteristics are a representative cross section which proved ideal to study underlying drivers as well as current and retrospective land use change dynamics. The major land change dynamic of the study area is the conversion of Miombo forests to cultivation areas as well as modification of forest areas, i.e. degradation, due to the extraction of natural resources. With future predictions of population growth, climate change and large scale investments, land pressure is expected to further increase. To fully understand the impacts of these dynamics, both, conversion and modification of forest areas were assessed. By using the conceptual framework of ecosystem services, the predominant trade-off between food and timber in the study area was analyzed, including retrospective dynamics and impacts. This approach accounts for products that contribute directly or indirectly to human well-being. For this purpose, data from the Landsat archive since 1989 until 2013 was applied in different study area adapted approaches. The objectives of these approaches were (I) to detect underlying drivers and their temporal and spatial extent of impact, (II) to describe modification and conversion processes that reach from times of armed conflicts over the ceasefire and the post-war period and (III) to provide an assessment of drivers and impacts in a comparative setting. It could be shown that major underlying drivers for the conversion processes are resettlement dynamics as well as the location and quality of streets and settlements. Furthermore, forests that are selectively used for resource extraction have a higher chance of being converted to a field. Drivers of forest degradation are on one hand also strongly connected to settlement and infrastructural structures. But also to a large extent to fire dynamics that occur mostly in more remote and presumably undisturbed forest areas. The loss of woody biomass as well as its slow recovery after the abandonment of fields could be quantified and stands in large contrast to the amount of potentially cultivated food that is necessarily needed. The results of the thesis support the fundamental understanding of drivers and impacts in the study area and can thus contribute to a sustainable resource management.
Avoiding aerial microfibre contamination of environmental samples is essential for reliable analyses when it comes to the detection of ubiquitous microplastics. Almost all laboratories have contamination problems which are largely unavoidable without investments in clean-air devices. Therefore, our study supplies an approach to assess background microfibre contamination of samples in the laboratory under particle-free air conditions. We tested aerial contamination of samples indoor, in a mobile laboratory, within a laboratory fume hood and on a clean bench with particles filtration during the examining process of a fish. The used clean bench reduced aerial microfibre contamination in our laboratory by 96.5%. This highlights the value of suitable clean-air devices for valid microplastic pollution data. Our results indicate, that pollution levels by microfibres have been overestimated and actual pollution levels may be many times lower. Accordingly, such clean-air devices are recommended for microplastic laboratory applications in future research work to significantly lower error rates.
With the advent of highthroughput sequencing (HTS), profiling immunoglobulin (IG) repertoires has become an essential part of immunological research. The dissection of IG repertoires promises to transform our understanding of the adaptive immune system dynamics. Advances in sequencing technology now also allow the use of the Ion Torrent Personal Genome Machine (PGM) to cover the full length of IG mRNA transcripts. The applications of this benchtop scale HTS platform range from identification of new therapeutic antibodies to the deconvolution of malignant B cell tumors. In the context of this thesis, the usability of the PGM is assessed to investigate the IG heavy chain (IGH) repertoires of animal models. First, an innovate bioinformatics approach is presented to identify antigendriven IGH sequences from bulk sequenced bone marrow samples of transgenic humanized rats, expressing a human IG repertoire (OmniRatTM). We show, that these rats mount a convergent IGH CDR3 response towards measles virus hemagglutinin protein and tetanus toxoid, with high similarity to human counterparts. In the future, databases could contain all IGH CDR3 sequences with known specificity to mine IG repertoire datasets for past antigen exposures, ultimately reconstructing the immunological history of an individual. Second, a unique molecular identifier (UID) based HTS approach and network property analysis is used to characterize the CLLlike CD5+ B cell expansion of A20BKO mice overexpressing a natural short splice variant of the CYLD gene (A20BKOsCYLDBOE). We could determine, that in these mice, overexpression of sCYLD leads to unmutated subvariant of CLL (UCLL). Furthermore, we found that this short splice variant is also seen in human CLL patients highlighting it as important target for future investigations. Third, the UID based HTS approach is improved by adapting it to the PGM sequencing technology and applying a custommade data processing pipeline including the ImMunoGeneTics (IMGT) database error detection. Like this, we were able to obtain correct IGH sequences with over 99.5% confidence and correct CDR3 sequences with over 99.9% confidence. Taken together, the results, protocols and sample processing strategies described in this thesis will improve the usability of animal models and the Ion Torrent PGM HTS platform in the field if IG repertoire research.
It is generally assumed that the temperature increase associated with global climate change will lead to increased thunderstorm intensity and associated heavy precipitation events. In the present study it is investigated whether the frequency of thunderstorm occurrences will in- or decrease and how the spatial distribution will change for the A1B scenario. The region of interest is Central Europe with a special focus on the Saar-Lor-Lux region (Saarland, Lorraine, Luxembourg) and Rhineland-Palatinate.Daily model data of the COSMO-CLM with a horizontal resolution of 4.5 km is used. The simulations were carried out for two different time slices: 1971"2000 (C20), and 2071"2100 (A1B). Thunderstorm indices are applied to detect thunderstorm-prone conditions and differences in their frequency of occurrence in the two thirty years timespans. The indices used are CAPE (Convective Available Potential Energy), SLI (Surface Lifted Index), and TSP (Thunderstorm Severity Potential).The investigation of the present and future thunderstorm conducive conditions show a significant increase of non-thunderstorm conditions. The regional averaged thunderstorm frequencies will decrease in general, but only in the Alps a potential increase in thunderstorm occurrences and intensity is found. The comparison between time slices of 10 and 30 years length show that the number of gridpoints with significant signals increases only slightly. In order to get a robust signal for severe thunderstorm, an extension to more than 75 years would be necessary.
Educational researchers have intensively investigated students" academic self-concept (ASC) and self-efficacy (SE). Both constructs are part of the competence-related self-perceptions of students and are considered to support students" academic success and their career development in a positive manner (e.g., Abele-Brehm & Stief, 2004; Richardson, Abraham, & Bond, 2012; Schneider & Preckel, 2017). However, there is a lack of basic research on ASC and SE in higher education in general, and in undergraduate psychology courses in particular. Therefore, according to the within-network and between-network approaches of construct validation (Byrne, 1984), the present dissertation comprises three empirical studies examining the structure (research question 1), measurement (research question 2), correlates (research question 3), and differentiation (research question 4) of ASC and SE in a total sample of N = 1243 psychology students. Concerning research question 1, results of confirmatory factor analysis (CFAs) implied that students" ASC and SE are domain-specific in the sense of multidimensionality, but they are also hierarchically structured, with a general factor at the apex according to the nested Marsh/Shavelson model (NMS model, Brunner et al., 2010). Additionally, psychology students" SE to master specific psychological tasks in different areas of psychological application could be described by a 2-dimensional model with six factors according to the Multitrait-Multimethod (MTMM)-approach (Campbell & Fiske, 1959). With regard to research question 2, results revealed that the internal structure of ASC and SE could be validly assessed. However, the assessment of psychology students" SE should follow a task-specific measurement strategy. Results of research question 3 further showed that both constructs of psychology students" competence-related self-perceptions were positively correlated to achievement in undergraduate psychology courses if predictor (ASC, SE) corresponded to measurement specificity of the criterion (achievement). Overall, ASC provided substantially stronger relations to achievement compared to SE. Moreover, there was evidence for negative paths (contrast effects) from achievement in one psychological domain on ASC of another psychological domain as postulated by the internal/external frame of reference (I/E) model (Marsh, 1986). Finally, building on research questions 1 to 3 (structure, measurement, and correlates of ASC and SE), psychology students" ASC and SE were be differentiated on an empirical level (research question 4). Implications for future research practices are discussed. Furthermore, practical implications for enhancing ASC and SE in higher education are proposed to support academic achievement and the career development of psychology students.
This dissertation looked at both design-based and model-based estimation for rare and clustered populations using the idea of the ACS design. The ACS design (Thompson, 2012, p. 319) starts with an initial sample that is selected by a probability sampling method. If any of the selected units meets a pre-specified condition, its neighboring units are added to the sample and observed. If any of the added units meets the pre-specified condition, its neighboring units are further added to the sample and observed. The procedure continues until there are no more units that meet the pre-specified condition. In this dissertation, the pre-specified condition is the detection of at least one animal in a selected unit. In the design-based estimation, three estimators were proposed under three specific design setting. The first design was stratified strip ACS design that is suitable for aerial or ship surveys. This was a case study in estimating population totals of African elephants. In this case, units/quadrant were observed only once during an aerial survey. The Des Raj estimator (Raj, 1956) was modified to obtain an unbiased estimate of the population total. The design was evaluated using simulated data with different levels of rarity and clusteredness. The design was also evaluated on real data of African elephants that was obtained from an aerial census conducted in parts of Kenya and Tanzania in October (dry season) 2013. In this study, the order in which the samples were observed was maintained. Re-ordering the samples by making use of the Murthy's estimator (Murthy, 1957) can produce more efficient estimates. Hence a possible extension of this study. The computation cost resulting from the n! permutations in the Murthy's estimator however, needs to be put into consideration. The second setting was when there exists an auxiliary variable that is negatively correlated with the study variable. The Murthy's estimator (Murthy, 1964) was modified. Situations when the modified estimator is preferable was given both in theory and simulations using simulated and two real data sets. The study variable for the real data sets was the distribution and counts of oryx and wildbeest. This was obtained from an aerial census that was conducted in parts of Kenya and Tanzania in October (dry season) 2013. Temperature was the auxiliary variable for two study variables. Temperature data was obtained from R package raster. The modified estimator provided more efficient estimates with lower bias compared to the original Murthy's estimator (Murthy, 1964). The modified estimator was also more efficient compared to the modified HH and the modified HT estimators of (Thompson, 2012, p. 319). In this study, one auxiliary variable is considered. A fruitful area for future research would be to incorporate multi-auxiliary information at the estimation phase of an ACS design. This could, in principle, be done by using for instance a multivariate extension of the product estimator (Singh, 1967) or by using the generalized regression estimator (Särndal et al., 1992). The third case under design-based estimation, studied the conjoint use of the stopping rule (Gattone and Di Battista, 2011) and the use of the without replacement of clusters (Dryver and Thompson, 2007). Each of these two methods was proposed to reduce the sampling cost though the use of the stopping rule results in biased estimates. Despite this bias, the new estimator resulted in higher efficiency gain in comparison to the without replacement of cluster design. It was also more efficient compared to the stratified design which is known to reduce final sample size when networks are truncated at stratum boundaries. The above evaluation was based on simulated and real data. The real data was the distribution and counts of hartebeest, elephants and oryx obtained in the same census as above. The bias attributed by the stopping rule has not been evaluated analytically. This may not be direct since the truncated network formed depends on the initial unit sampled (Gattone et al., 2016a). This and the order of the bias however, deserves further investigation as it may help in understanding the effect of the increase in the initial sample size together with the population characteristics on the efficiency of the proposed estimator. Chapter four modeled data that was obtained using the stratified strip ACS (as described in sub-section (3.1)). This was an extension of the model of Rapley and Welsh (2008) by modeling data that was obtained from a different design, the introduction of an auxiliary variable and the use of the without replacement of clusters mechanism. Ideally, model-based estimation does not depend on the design or rather how the sample was obtained. This is however, not the case if the design is informative; such as the ACS design. In this case, the procedure that was used to obtain the sample was incorporated in the model. Both model-based and design-based simulations were conducted using artificial and real data. The study and the auxiliary variable for the real data was the distribution and counts of elephants collected during an aerial census in parts of Kenya and Tanzania in October (dry season) and April (wet season) 2013 respectively. Areas of possible future research include predicting the population total of African elephants in all parks in Kenya. This can be achieved in an economical and reliable way by using the theory of SAE. Chapter five compared the different proposed strategies using the elephant data. Again the study variable was the elephant data from October (dry season) 2013 and the auxiliary variable was the elephant data from April (wet season) 2013. The results show that the choice of particular strategy to use depends on the characteristic of the population under study and the level and the direction of the correlation between the study and the auxiliary variable (if present). One general area of the ACS design that is still behind, is the implementation of the design in the field especially on animal populations. This is partly attributed by the challenges associated with the field implementation, some of which were discussed in section 2.3. Green et al. (2010) however, provides new insights in undertaking the ACS design during an aerial survey such as how the aircraft should turn while surveying neighboring units. A key point throughout the dissertation is the reduction of cost during a survey which can be seen by the reduction in the number of units in the final sample (through the use of stopping rule, use of stratification and truncating networks at stratum boundaries) and ensuring that units are observed only once (by using the without replacement of cluster sampling technique). The cost of surveying an edge unit(s) is assumed to be low in which case the efficiency of the ACS design relative to the non-adaptive design is achieved (Thompson and Collins, 2002). This is however not the case in aerial surveys as the aircraft flies at constant speed and height (Norton-Griffiths, 1978). Hence the cost of surveying an edge unit is the same as the cost of surveying a unit that meets the condition of interest. The without replacement of cluster technique plays a greater role of reducing the cost of sampling in such surveys. Other key points that motivated the sections in the dissertation include gains in efficiency (in all sections) and practicability of the designs in the specific setting. Even though the dissertation focused on animal populations, the methods can as well be implemented in any population that is rare and clustered such as in the study of forestry, plants, pollution, minerals and so on.
Zeugen die ein Tatgeschehen nicht beobachtet, sondern nur auditiv wahrgenommen haben, werden als Ohrenzeugen bezeichnet. Im Rahmen des Strafverfahrens erhalten Ohrenzeugen die Aufgabe, die Täterstimme im Rahmen einer akustischen Wahlgegenüberstellung (Voice Line-up) wiederzuerkennen. Die forensische Praxis zeigt, dass Ohrenzeugen diese Aufgabe unterschiedlich gut bewältigen können, ohne dass sich ein klares Muster erkennen lässt. In der Ohrenzeugenforschung gibt es jedoch Hinweise, dass musikalische Ausbildung die Fähigkeit zur Sprechererkennung verbessert.
Ziel dieser Arbeit ist es zu prüfen, ob das Ausmaß musikalischer Wahrnehmungskompetenz eine Prognose der Sprechererkennungsleistung erlaubt.
Um dies zu prüfen, nahmen 60 Versuchspersonen sowohl an einem „Musikalitätstest“ in Form der Montreal Battery for the Evaluation of Amusia (MBEA) als auch an einem target present Voice Line-up teil. Mittels Regressionsmodellen konnte bestimmt werden, dass die Wahrscheinlichkeit für eine korrekte Sprechererkennung steigt, je höher das Testergebnis der MBEA ausfällt. Dieses Testergebnis ermöglicht eine signifikante Prognose der Sprechererkennungsleistung. Die ebenfalls mittels Fragebögen erhobene Dauer der musikalischen Ausbildung erlaubt hingegen keine signifikante Prognose. Das durchgeführte Experiment zeigt auch, dass die Dauer der musikalischen Ausbildung das Testergebnis im Musikalitätstest nur eingeschränkt erklärt.
Diese Beobachtungen führen zu dem Schluss, dass bei einer Bewertung von Ohrenzeugen ein direktes Testen von musikalischer Wahrnehmungsfähigkeit einer Inferenz auf der Basis musik-biografischer Angaben vorzuziehen ist.
Pränatal, postnatal und aktuell auftretende chronische Stressbelastung sind bedeutsame Risikofaktoren für mentale und körperliche Beeinträchtigungen im Erwachsenenalter. Ziel dieser Dissertationsschrift ist es, den Einfluss von Stress im Lebenslauf (pränatale, postnatale, aktuelle Stressbelastung) auf verschiedene Erschöpfungsvariablen und Depressivität zu analysieren und mögliche Mediatoreffekte von aktuell auftretendem Stress auf Assoziationen zwischen pränatalem bzw. postnatalem Stress und Erschöpfung bzw. Depressivität zu bestimmen. Zur Prüfung dieser Fragestellung wurden Daten von chronisch gestressten Lehrpersonen (N = 186; 67,70% weiblich) ohne Diagnose für eine psychische Erkrankung sowie von Hausarzt- (N = 473; 59% weiblich) und Klinikpatienten (N = 284; 63,7% weiblich) mit mindestens einer stressbezogenen mentalen Gesundheitsstörung erhoben. Prä-postnataler Stress, subjektive Erschöpfung und Depressivität wurden in allen Stichproben erfasst, aktuelle Stressbelastung und Poststresssymptome in den Patientenstichproben. Zusätzlich wurden konzeptuelle Endophänotypen als psychobiologisches Erschöpfungsmaß in beiden Patientenstichproben sowie Übernachtaktivität des parasympathischen Nervensystems als Maß vagaler Erholung in der Hausarztstichprobe operationalisiert. Bei den Lehrpersonen wurde anhand univariater Varianzanalysen analysiert, ob Lehrkräfte mit frühkindlicher Belastung unterschiedliche Erschöpfungs- bzw. Depressionswerte aufwiesen im Vergleich zu Lehrkräften ohne frühkindliche Belastung. In den Patientenstichproben wurden multiple und binärlogistische Regressionsmodelle verwendet, um Assoziationen zwischen pränatalem, postnatalem sowie aktuellem Stress mit Erschöpfung, Depressivität, den konzeptuellen Endophänotypen der Neuropattern-Diagnostik sowie Übernachtaktivität des parasympathischen Nervensystems (nur bei Hausarztpatienten) zu prüfen. Mögliche Mediatoreffekte aktueller Stressbelastung auf Assoziationen zwischen pränatalem und postnatalem Stress mit Erschöpfung, Depressivität, der konzeptuellen Endophänotypen bzw. der Übernachtaktivität des parasympathischen Nervensystems (nur bei Hausarztpatienten) wurden bestimmt. Ad hoc wurde mittels zusätzlich ein möglicher Moderatoreffekt von pränatalem Stress auf die Assoziation zwischen aktuellem Stress und der Übernachtherzrate getestet. Pränataler Stress war bei sonst gesunden Lehrkräften mit einer stärker ausgeprägten Gratifikationskrise und höherer emotionaler Erschöpfung assoziiert. Postnataler Stress ging mit höheren Werten für Depressivität, Anstrengungs-Belohnungs-Ungleichgewicht, der MBI Gesamtskala, emotionaler Erschöpfung und vitaler Erschöpfung einher. Sowohl bei Hausarzt- als auch bei Klinikpatienten waren aktuelle psychosoziale Belastung und aktuelle Beeinträchtigung durch Lebensereignisse mit Depressivität, Erschöpfung und Poststress assoziiert. Bei Hausarztpatienten sagte aktuelle Stressbelastung eine erhöhte Odds Ratio der Noradrenalin-Hypoaktivität sowie Serotonin-Hyperreaktivität vorher; bei Klinikpatienten für Noradrenalin-Hypoaktivität. Des Weiteren zeigten Hausarztpatienten mit starker psychosozialer Belastung erhöhte parasympathische Aktivität über Nacht. Bei Hausarztpatienten ist hoher pränataler Stress assoziiert mit wahrgenommener psychosozialer Belastung, aktuellen Lebensereignissen und Poststresssymptomen. Pränataler Stress ging mit einer verringerten vagalen Aktivität einher. Weiter ist postnataler Stress assoziiert mit Depressivität, wahrgenommener psychosozialer Belastung, aktuellen Lebensereignissen, Erschöpfung und Poststresssymptomen sowie einem erhöhten Odds Ratio für die Noradrenalin-Hypoaktivität sowie mit CRH-Hyperaktivität. Die Assoziationen zwischen pränatalem bzw. postnatalem Stress und Poststress, Erschöpfung, Depressivität und Noradrenalin-Hypoaktivität wurden signifikant durch aktuelle Stressbelastung mediiert. Die Assoziation zwischen aktuellem Stress und parasympathischer Aktivität über Nacht wurde durch pränatalen Stress moderiert: Bei geringer bis mittlerer nicht aber bei hoher pränataler Belastung ging eine hohe psychosoziale Belastung mit erhöhter Übernachtaktivität des parasympathischen Nervensystems einher. Bei Klinikpatienten zeigten sich keine signifikanten Zusammenhänge zwischen pränatalem bzw. postnatalem Stress und Erschöpfung bzw. Depressivität. Pränataler Stress kann trophotrope Funktionen beeinträchtigen und damit die Vulnerabilität für Erschöpfung und Depressivität erhöhen. Fortgesetzte postnatale und aktuelle Stressbelastung erhöhen den kumulativen Stress im Lebenslauf einer Person und tragen zu psychobiologischen Dysfunktionen sowie Erschöpfung und Depressivität bei.
Numerous RCTs demonstrate that cognitive behavioral therapy (CBT) for depression is effective. However, these findings are not necessarily representative of CBT under routine care conditions. Routine care studies are not usually subjected to comparable standardizations, e.g. often therapists may not follow treatment manuals and patients are less homogeneous with regard to their diagnoses and sociodemographic variables. Results on the transferability of findings from clinical trials to routine care are sparse and point in different directions. As RCT samples are selective due to a stringent application of inclusion/exclusion criteria, comparisons between routine care and clinical trials must be based on a consistent analytic strategy. The present work demonstrates the merits of propensity score matching (PSM), which offers solutions to reduce bias by balancing two samples based on a range of pretreatment differences. The objective of this dissertation is the investigation of the transferability of findings from RCTs to routine care settings.
The search for relevant determinants of knowledge acquisition has a long tradition in educational research, with systematic analyses having started over a century ago. To date, a variety of relevant environmental and learner-related characteristics have been identified, providing a wide body of empirical evidence. However, there are still some gaps in the literature, which are highlighted in the current dissertation. The dissertation includes two meta-analyses summarizing the evidence on the effectiveness of electrical brain stimulation and the effects of prior knowledge on later learning outcomes and one empirical study employing latent profile transition analysis to investigate the changes in conceptual knowledge over time. The results from the three studies demonstrate how learning outcomes can be advanced by input from the environment and that they are highly related to the students" level of prior knowledge. It is concluded that the effects of environmental and learner-related variables impact both the biological and cognitive processes underlying knowledge acquisition. Based on the findings from the three studies, methodological and practical implications are provided, followed by an outline of four recommendations for future research on knowledge acquisition.
A phenomenon of recent decades is that digital marketplaces on the Internet are establishing themselves for a wide variety of products and services. Recently, it has become possible for private individuals to invest in young and innovative companies (so-called "start-ups"). Via Internet portals, potential investors can examine various start-ups and then directly invest in their chosen start-up. In return, investors receive a share in the firm- profit, while companies can use the raised capital to finance their projects. This new way of financing is called "Equity Crowdfunding" (ECF) or "Crowdinvesting". The aim of this dissertation is to provide empirical findings about the characteristics of ECF. In particular, the question of whether ECF is able to overcome geographic barriers, the interdependence of ECF and capital structure, and the risk of failure for funded start-ups and their chances of receiving follow-up funding by venture capitalists or business angels will be analyzed. The results of the first part of this dissertation show that investors in ECF prefer local companies. In particular, investors who invest larger amounts have a stronger tendency to invest in local start-ups. The second part of the dissertation provides first indications of the interdependencies between capital structure and ECF. The analysis makes clear that the capital structure is not a determinant for undertaking an ECF campaign. The third part of the dissertation analyzes the success of companies financed by ECF in a country comparison. The results show that after a successful ECF campaign German companies have a higher chance of receiving follow-up funding by venture capitalists compared to British companies. The probability of survival, however, is slightly lower for German companies. The results provide relevant implications for theory and practice. The existing literature in the area of entrepreneurial finance will be extended by insights into investor behavior, additions to the capital structure theory and a country comparison in ECF. In addition, implications are provided for various actors in practice.
Erschöpfung ist ein prominentes, unspezifisches Symptom mit vielfältigen Begleitsymptomen (z. B. Schmerzen, Schlafstörungen, Reizbarkeit, Niedergeschlagenheit). Gängige Konzepte erschöpfungsbezogener Erkrankungen und Syndrome werden häufig in Bezug auf ihre Differenzierungskraft oder Struktur kritisiert. Die Ursachen für die Entstehung von Erschöpfung sind vielfältig und die Behandlung kann nur mit gründlicher Differentialdiagnostik erfolgen. Anhand adaptionsbezogener Stressmodelle kann die Entstehung von Erschöpfung beschrieben und in drei Formen eingeteilt werden (I: reversibel, II: prädispositioniert und III: emotional-dysregulativ). Poststress-Symptome (z. B. "Wochenend-Migräne", "UrlaubsInfekte") stellen möglicherweise eine Erschöpfungsform dar, welche durch eine zentrale Entleerung der Noradrenalin-Spiegel bedingt ist. In der vorliegenden Arbeit wurden die Verlässlichkeit der Neuropattern-Erschöpfungsskala, sowie der Zusammenhang von Erschöpfung, Stress, dem Langzeit-Gesundheitsstatus und Poststress-Symptomen geprüft. Hierzu wurden Daten ambulanter und stationärer Patienten und Mitarbeitern verwendet, die an einer randomisierten klinischen Studie zur Neuropattern-Diagnostik teilnahmen. Zusätzlich wurden Daten von gesunden Personen zur Erhebung einer Normstichprobe verwendet. Die Neuropattern-Erschöpfungsskala zeigte sich als reliables und valides Maß. Sie war Indikator für direkte, indirekte und intangible Gesundheitskosten (z. B. erhöhte Arzt-, Therapeutenbesuche, Medikamenteneinnahme und Arbeitsunfähigkeit, reduziertes psychisches und physisches Wohlbefinden). Es zeigte sich, dass sowohl Stress, als auch Erschöpfung den Gesundheitszustand über den Verlauf von zwölf Monaten vorhersagt. Bemerkenswert ist, dass der Zusammenhang zwischen Stress und dem Langzeit-Gesundheitszustand vornehmlich durch Erschöpfung vermittelt wurde. Schließlich wurde die Prävalenz von Poststress-Symptomen bei gesunden Personen (2.9%), ambulanten (20%) und stationären Patienten (34,7%) bestimmt. Auch hier war nicht Stress der stärkste Prädiktor für das Auftreten von Poststress-Symptomen, sondern Erschöpfung. Modelle der psychophysiologischen Stressreaktion können die Entstehung von Erschöpfung erklären und die Diagnostik und Behandlung stressbezogener Gesundheitsstörungen verbessern. Die vorgestellte Neuropattern-Erschöpfungsskala ist dabei ein verlässliches und für die Praxis gut geeignetes Instrument, welches zur Indikation und Validierung präventiver und therapeutischer Maßnahmen eingesetzt werden kann. Je nach Erschöpfungsform bieten sich verschiedene Maßnahmen des regenerativen, instrumentellen oder kognitiven Stressmanagements, Nahrungsergänzungsmittel und Pharmakotherapie an.
Die Untersuchung widmet sich dem Verhältnis von Kunst und Fernsehen in Deutschland seit den 1960er Jahren bis heute unter Berücksichtigung des gesellschaftlichen und künstlerischen Diskurses. In den 1960er Jahren begann die Zusammenarbeit von Künstlern und dem Fernsehen mit Projekten wie "Black Gate Cologne" oder Gerry Schums "Fernsehgalerie" äußerst vielversprechend. In enger Zusammenarbeit mit den Fernsehverantwortlichen wurden Sendungen speziell für die Ausstrahlung im Fernsehen produziert und auch als Fernsehkunst gesendet. Die Akzeptanz und Resonanz auf diese Projekte waren jedoch nach anfänglicher Euphorie bescheiden bis ablehnend. Allerdings führte dies nicht zu einem Scheitern und einer Rückverlagerung der Kunst in den Präsentationsort Museum oder Galerie, sondern zu einer Weiterentwicklung der Fernsehkunst bis in die heutige Zeit. Fernsehkunst hat sich ihrem Aufführungs- und Produktionskontext, aber auch bei der Wahl ihrer Themen der jeweiligen Epoche mit ihren technischen und kommunikativen Möglichkeiten sowie dem gesellschaftlichen Diskurs zu öffentlichkeitsrelevanten Themen anpasst. Fernsehkunst ist stets ein Spiegel der aktuellen Diskurse in Kunst und Gesellschaft. In der bisherigen Forschung wurde Fernsehkunst als gescheitert und damit als nicht mehr existent angesehen. Die Stigmatisierung des Fernsehens als reines Unterhaltungs- und Informationsmedium führte dazu, dass Fernsehkunst als Begriff und als Kunstgattung im öffentlichen und im wissenschaftlichen Diskurs nicht vorkam. Die typologische und inhaltliche Analyse hat jedoch gezeigt, dass Fernsehkunst in klarer Abgrenzung zur Videokunst auch gegenwärtig existiert.
Die Publikation, die sich primär an Forschende aus den Geisteswissenschaften wendet, bietet eine praxisbezogene kurze Einführung in das Forschungsdatenmanagement. Sie ist als Planungsinstrument für ein Forschungsprojekt konzipiert und bietet Hilfestellung bei der Erarbeitung eines digitalen Forschungskonzepts und der Erstellung eines Datenmanagementplans. Ausgehend von der Analyse ausgewählter Arbeitssituationen (Projektplanung und Antrag-stellung, Quellenbearbeitung, Publikation und Archivierung) und deren Veränderung in einer zunehmend digital organisierten Forschungspraxis werden die Zusammenhänge zwischen Forschungs- und Datenmanagementprozess thematisiert. Eine Checkliste in Form eines Fragenkatalogs und eine kommentierte Mustervorlage für einen Daten-managementplan helfen bei der Projektplanung und -beantragung.
Earth observation (EO) is a prerequisite for sustainable land use management, and the open-data Landsat mission is at the forefront of this development. However, increasing data volumes have led to a "digital-divide", and consequently, it is key to develop methods that account for the most data-intensive processing steps, then used for the generation and provision of analysis-ready, standardized, higher-level (Level 2 and Level 3) baseline products for enhanced uptake in environmental monitoring systems. Accordingly, the overarching research task of this dissertation was to develop such a framework with a special emphasis on the yet under-researched drylands of Southern Africa. A fully automatic and memory-resident radiometric preprocessing streamline (Level 2) was implemented. The method was applied to the complete Angolan, Zambian, Zimbabwean, Botswanan, and Namibian Landsat record, amounting 58,731 images with a total data volume of nearly 15 TB. Cloud/shadow detection capabilities were improved for drylands. An integrated correction of atmospheric, topographic and bidirectional effects was implemented, based on radiative theory with corrections for multiple scatterings, and adjacency effects, as well as including a multilayered toolset for estimating aerosol optical depth over persistent dark targets or by falling back on a spatio-temporal climatology. Topographic and bidirectional effects were reduced with a semi-empirical C-correction and a global set of correction parameters, respectively. Gridding and reprojection were already included to facilitate easy and efficient further processing. The selection of phenologically similar observations is a key monitoring requirement for multi-temporal analyses, and hence, the generation of Level 3 products that realize phenological normalization on the pixel-level was pursued. As a prerequisite, coarse resolution Land Surface Phenology (LSP) was derived in a first step, then spatially refined by fusing it with a small number of Level 2 images. For this purpose, a novel data fusion technique was developed, wherein a focal filter based approach employs multi-scale and source prediction proxies. Phenologically normalized composites (Level 3) were generated by coupling the target day (i.e. the main compositing criterion) to the input LSP. The approach was demonstrated by generating peak, end and minimum of season composites, and by comparing these with static composites (fixed target day). It was shown that the phenological normalization accounts for terrain- and land cover class-induced LSP differences, and the use of Level 2 inputs enables a wide range of monitoring options, among them the detection of within state processes like forest degradation. In summary, the developed preprocessing framework is capable of generating several analysis-ready baseline EO satellite products. These datasets can be used for regional case studies, but may also be directly integrated into more operational monitoring systems " e.g. in support of the Reducing Emissions from Deforestation and Forest Degradation (REDD) incentive. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Trier University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
GIS – what can and what can’t it say about social relations in adaptation to urban flood risk?
(2017)
Urban flooding cannot be avoided entirely and in all areas, particularly in coastal cities. Therefore adaptation to the growing risk is necessary. Geographical Information Systems (GIS) based knowledge on risk informs location-based approach to adaptation to climate risk. It allows managing city- wide coordination of adaptation measures, reducing adverse impacts of local strategies on neighbouring areas to the minimum. Quantitative assessments dominate GIS applications in flood risk management, for instance to demonstrate the distribution of people and assets in a flood prone area. Qualitative, participatory approaches to GIS are on the rise but have not been applied in the context of flooding yet. The overarching research question of this working paper is: what can GIS, and what can it not say about relationships / social relations in adaptation to urban flood risk? The use of GIS in risk mapping has exposed environmental injustices. Applications of GIS further allow model- ling future flood risk in function of demographic and land use changes, and combining it with decision support systems (DSS). While such GIS applications provide invaluable information for urban planners steering adaptation they however fall short on revealing the social relations that shape individual and household adaptation decisions. The relevance of networked social relations in adaptation to flood risk has been demonstrated in case studies, and extensively in the literature on organizational learning and adaptation to change. The purpose of this literature review is to identify the type of social relations that shape adaptive capacities towards urban flood risk which can- not be identified in a conventional GIS application.
Earnings functions are an important tool in labor economics as they allow to test a variety of labor market theories. Most empirical earnings functions research focuses on testing hypotheses about sign and magnitude for the variables of interest. In contrast, there is little attention for the explanation power of the econometric models employed. Measures for explanation power are of interest, however, for assessing how successful econometric models are in explaining the real world. Are researchers able to draw a complete picture of the determination of earnings or is there room for further theories leading to alternate econometric models? This article seeks to answer the question with a large microeconometric data set from Germany. Using linear regression estimated by OLS and R2 as well as adjusted R2 as measures for explanation power, the results show that up to 60 percent of wage variation can be explained using only observable variables.