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Background: Medical training is very demanding and associated with a high prevalence of psychological distress. Compared to the general population, medical students are at a greater risk of developing a psychological disorder. Various attempts of stress management training in medical school have achieved positive results on minimizing psychological distress; however, there are often limitations. Therefore, the use of a rigorous scientific method is needed. The present study protocol describes a randomized controlled trial to examine the effectiveness of a specifically developed mindfulness-based stress prevention training for medical students that includes selected elements of cognitive behavioral strategies (MediMind).
Methods/Design: This study protocol presents a prospective randomized controlled trial, involving four assessment time points: baseline, post-intervention, one-year follow-up and five-year follow-up. The aims include evaluating the effect on stress, coping, psychological morbidity and personality traits with validated measures. Participants are allocated randomly to one of three conditions: MediMind, Autogenic Training or control group. Eligible participants are medical or dental students in the second or eighth semester of a German university. They form a population of approximately 420 students in each academic term. A final total sample size of 126 (at five-year follow-up) is targeted. The trainings (MediMind and Autogenic Training) comprise five weekly sessions lasting 90 minutes each. MediMind will be offered to participants of the control group once the five-year follow-up is completed. The allotment is randomized with a stratified allocation ratio by course of studies, semester, and gender. After descriptive statistics have been evaluated, inferential statistical analysis will be carried out with a repeated measures ANOVA-design with interactions between time and group. Effect sizes will be calculated using partial η-square values.
Discussion: Potential limitations of this study are voluntary participation and the risk of attrition, especially concerning participants that are allocated to the control group. Strengths are the study design, namely random allocation, follow-up assessment, the use of control groups and inclusion of participants at different stages of medical training with the possibility of differential analysis.
A water quality model for shallow river-lake systems and its application in river basin management
(2007)
This work documents the development and application of a new model for simulating mass transport and turnover in rivers and shallow lakes. The simulation tool called 'TRAM' is intended to complement mesoscale eco-hydrological catchment models in studies on river basin management. TRAM aims at describing the water quality of individual water bodies, using problem- and scale-adequate approaches for representing their hydrological and ecological characteristics. The need for such flexible water quality analysis and prediction tools is expected to further increase during the implementation of the European Water Framework Directive (WFD) as well as in the context of climate change research. The developed simulation tool consists of a transport and a reaction module with the latter being highly flexible with respect to the description of turnover processes in the aquatic environment. Therefore, simulation approaches of different complexity can easily be tested and model formulations can be chosen in consideration of the problem at hand, knowledge of process functioning, and data availability. Consequently, TRAM is suitable for both heavily simplified engineering applications as well as scientific ecosystem studies involving a large number of state variables, interactions, and boundary conditions. TRAM can easily be linked to catchment models off-line and it requires the use of external hydrodynamic simulation software. Parametrization of the model and visualization of simulation results are facilitated by the use of geographical information systems as well as specific pre- and post-processors. TRAM has been developed within the research project 'Management Options for the Havel River Basin' funded by the German Ministry of Education and Research. The project focused on the analysis of different options for reducing the nutrient load of surface waters. It was intended to support the implementation of the WFD in the lowland catchment of the Havel River located in North-East Germany. Within the above-mentioned study TRAM was applied with two goals in mind. In a first step, the model was used for identifying the magnitude as well as spatial and temporal patterns of nitrogen retention and sediment phosphorus release in a 100~km stretch of the highly eutrophic Lower Havel River. From the system analysis, strongly simplified conceptual approaches for modeling N-retention and P-remobilization in the studied river-lake system were obtained. In a second step, the impact of reduced external nutrient loading on the nitrogen and phosphorus concentrations of the Havel River was simulated (scenario analysis) taking into account internal retention/release. The boundary conditions for the scenario analysis such as runoff and nutrient emissions from river basins were computed by project partners using the catchment models SWIM and ArcEGMO-Urban. Based on the output of TRAM, the considered options of emission control could finally be evaluated using a site-specific assessment scale which is compatible with the requirements of the WFD. Uncertainties in the model predictions were also examined. According to simulation results, the target of the WFD -- with respect to total phosphorus concentrations in the Lower Havel River -- could be achieved in the medium-term, if the full potential for reducing point and non-point emissions was tapped. Furthermore, model results suggest that internal phosphorus loading will ease off noticeably until 2015 due to a declining pool of sedimentary mobile phosphate. Mass balance calculations revealed that the lakes of the Lower Havel River are an important nitrogen sink. This natural retention effect contributes significantly to the efforts aimed at reducing the river's nitrogen load. If a sustainable improvement of the river system's water quality is to be achieved, enhanced measures to further reduce the immissions of both phosphorus and nitrogen are required.
Changing climatic conditions and unsustainable land use are major threats to savannas worldwide. Historically, many African savannas were used intensively for livestock grazing, which contributed to widespread patterns of bush encroachment across savanna systems. To reverse bush encroachment, it has been proposed to change the cattle-dominated land use to one dominated by comparatively specialized browsers and usually native herbivores. However, the consequences for ecosystem properties and processes remain largely unclear. We used the ecohydrological, spatially explicit model EcoHyD to assess the impacts of two contrasting, herbivore land-use strategies on a Namibian savanna: grazer- versus browser-dominated herbivore communities. We varied the densities of grazers and browsers and determined the resulting composition and diversity of the plant community, total vegetation cover, soil moisture, and water use by plants. Our results showed that plant types that are less palatable to herbivores were best adapted to grazing or browsing animals in all simulated densities. Also, plant types that had a competitive advantage under limited water availability were among the dominant ones irrespective of land-use scenario. Overall, the results were in line with our expectations: under high grazer densities, we found heavy bush encroachment and the loss of the perennial grass matrix. Importantly, regardless of the density of browsers, grass cover and plant functional diversity were significantly higher in browsing scenarios. Browsing herbivores increased grass cover, and the higher total cover in turn improved water uptake by plants overall. We concluded that, in contrast to grazing-dominated land-use strategies, land-use strategies dominated by browsing herbivores, even at high herbivore densities, sustain diverse vegetation communities with high cover of perennial grasses, resulting in lower erosion risk and bolstering ecosystem services.
A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
Closing yield gaps
(2015)
Global food production needs to be increased by 60-110% between 2005 and 2050 to meet growing food and feed demand. Intensification and/or expansion of agriculture are the two main options available to meet the growing crop demands. Land conversion to expand cultivated land increases GHG emissions and impacts biodiversity and ecosystem services. Closing yield gaps to attain potential yields may be a viable option to increase the global crop production. Traditional methods of agricultural intensification often have negative externalities. Therefore, there is a need to explore location-specific methods of sustainable agricultural intensification. We identified regions where the achievement of potential crop calorie production on currently cultivated land will meet the present and future food demand based on scenario analyses considering population growth and changes in dietary habits. By closing yield gaps in the current irrigated and rain-fed cultivated land, about 24% and 80% more crop calories can respectively be produced compared to 2000. Most countries will reach food self-sufficiency or improve their current food self-sufficiency levels if potential crop production levels are achieved. As a novel approach, we defined specific input and agricultural management strategies required to achieve the potential production by overcoming biophysical and socioeconomic constraints causing yield gaps. The management strategies include: fertilizers, pesticides, advanced soil management, land improvement, management strategies coping with weather induced yield variability, and improving market accessibility. Finally, we estimated the required fertilizers (N, P2O5, and K2O) to attain the potential yields. Globally, N-fertilizer application needs to increase by 45-73%, P2O5-fertilizer by 22-46%, and K2O-fertilizer by 2-3 times compared to the year 2010 to attain potential crop production. The sustainability of such agricultural intensification largely depends on the way management strategies for closing yield gaps are chosen and implemented.
Zur Bewältigung der drängenden Fragen der heutigen Zeit wird von den politischen Verantwortungsträgern ein klares und nachvollziehbares Konzept und Vorgehen eingefordert. Der Ruf nach einer strategischen nicht nur taktischen Ausrichtung der politischen Planung und Steuerung wird laut. Die Restriktionen der politischen Rationalität können nicht als Hinderungsgrund für die stärkere Strategieausprägung von Regierungspolitik angesehen werden, vielmehr ist der Strategiefaktor in der Politik auszubauen. Die vorliegende Arbeit stellt die Balanced Scorecard (BSC) als strategisches Managementinstrument zur Verbesserung der strategischen Planung und Steuerung der Vorhaben einer Landesregierung an der Schnittstelle zwischen Landesregierung und Ministerialverwaltung in den Fokus der Betrachtung. Entscheidend für die Anwendung eines für die Privatwirtschaft entwickelten Instruments ist dessen Anpassbarkeit an spezifische Kriterien, die sich im Kontext einer Landesregierung und deren -verwaltung ergeben. Diese qualitativen Kriterien werden mithilfe einer Matrix ermittelt. In dieser stehen sich die essenziellen Funktionen einer BSC und die Herausforderungen der BSC im Kontext einer Landesregierung gegenüber. Der empirische Teil der Arbeit stellt die BSC-Bestrebungen des Landes Brandenburg vor und analysiert diese anhand der abgeleiteten qualitativen Kriterien. Im Ergebnis der Fallstudie stellt sich vor allem die Führungsunterstützung als der erfolgsentscheidende Faktor der BSC-Konzeption und -Implementierung innerhalb der Landesregierung Brandenburg heraus. Daneben sind die Formulierung und Ableitung klarer Strategien und Ziele durch die Regierenden, die Beachtung personeller Aspekte sowie eine ausgefeilte Projektorganisation von entscheidender Bedeutung für den Erfolg der BSC.
In den letzten Jahrzehnten ist der Trend der Verselbstständigung in vielen Kommunen zu beobachten. Ein Großteil der öffentlichen Leistungserbringer wird mittlerweile als privatrechtliche Gesellschaften in einem wettbewerbsorientierten Umfeld geführt. Während viele Forscher Ausgliederungen in Form von nachgeordneten Behörden auf Bundesebene untersuchen und diese Reformwelle als einen faktischen Autonomisierungsprozess beschreiben, gibt es nur einige wenige Studien, die sich explizit mit den Autonomisierungstendenzen auf Kommunalebene auseinandersetzen. Daher fehlt es an empirischen Erkenntnissen zur Steuerung der kommunalen Beteiligungen.
In dieser Arbeit werden die Steuerungsarrangements deutscher Großstädte erstmals aus Sicht der Gesteuerten beleuchtet. Das Untersuchungsziel der vorliegenden Forschungsarbeit besteht darin, Flexibilisierungstendenzen in mehrheitlich kommunalen Unternehmen zu identifizieren und hierfür Erklärungsfaktoren zu identifizieren. Die Forschungsfrage lautet: Welche instrumentellen und relationalen Faktoren beeinflussen die Managementautonomie in kommunalen Mehrheitsbeteiligungen?
Dabei interessiert insbesondere die Einflussnahme der Kommunen auf verschiedene Tätigkeitsbereiche ihrer Ausgliederungen. Über diese unternehmensspezifischen Sachverhalte ist in Deutschland fast nichts und international nur sehr wenig Empirisches bekannt. Zur Beantwortung der Forschungsfrage hat der Autor auf Basis der Transaktionskosten- und der Social-Exchange-Theorie einen Analyserahmen erstellt. Die aufgestellten Hypothesen wurden mit einer großflächigen Umfrage bei 243 Unternehmen in den 39 größten deutschen Städten empirisch getestet.
Im Ergebnis zeigen sich mehrere empirische Erkenntnisse: Erstens konnten mittels Faktorenanalyse vier unabhängige Faktoren von Managementautonomie in kommunalen Unternehmen identifiziert werden: Personalautonomie, Generelles Management, Preisautonomie und Strategische Fragen. Während die Kommunen ihren Beteiligungen einen hohen Grad an Personalautonomie zugestehen, unterliegen vor allem strategische Investitionsentscheidungen wie die finanzielle Beteiligung an Tochterfirmen, große Projektvorhaben, Diversifikationsentscheidungen oder Kreditautfnahmen einem starken politischen Einfluss.
Zweitens führt eine Rechtsformänderung und die Platzierung in einem Wettbewerbsumfeld (auch bekannt als Corporatisation) vor allem zu einer größeren Flexibilisierung der Personal- und Preispolitik, wirkt sich allerdings wenig auf die weiteren Faktoren der Managementautonomie, Generelles Management und Strategische Entscheidungen, aus. Somit behalten die Kommunen ihre Möglichkeit, auf wichtige Unternehmensfragen der Beteiligung Einfluss zu nehmen, auch im Fall einer Formalprivatisierung bei.
Letztlich können zur Erklärung der Autonomiefaktoren transaktionskostenbasierte und relationale Faktoren ergänzend herangezogen werden. In den Transaktionsspezifika wirken vor allem der wahrgenommene Wettbewerb in der Branche, die Messbarkeit der Leistung, Branchenvariablen, die Anzahl der Politiker im Aufsichtsrat und die eingesetzten Steuerungsmechanismen. In den relationalen Faktoren setzen sich die Variablen gegenseitiges Vertrauen, Effektivität der Aufsichtsräte, Informationsaustausch, Rollenkonflikte, Rollenambivalenzen und Geschäftsführererfahrung im Sektor durch.
Primary keys (PKs) and foreign keys (FKs) are important elements of relational schemata in various applications, such as query optimization and data integration. However, in many cases, these constraints are unknown or not documented. Detecting them manually is time-consuming and even infeasible in large-scale datasets. We study the problem of discovering primary keys and foreign keys automatically and propose an algorithm to detect both, namely Holistic Primary Key and Foreign Key Detection (HoPF). PKs and FKs are subsets of the sets of unique column combinations (UCCs) and inclusion dependencies (INDs), respectively, for which efficient discovery algorithms are known. Using score functions, our approach is able to effectively extract the true PKs and FKs from the vast sets of valid UCCs and INDs. Several pruning rules are employed to speed up the procedure. We evaluate precision and recall on three benchmarks and two real-world datasets. The results show that our method is able to retrieve on average 88% of all primary keys, and 91% of all foreign keys. We compare the performance of HoPF with two baseline approaches that both assume the existence of primary keys.
In coherence with the progressive digitalization of all areas of life, the Internet of Things (IoT) is a flourishing concept in both research and practice. Due to the increasing scholarly attention, the literature landscape has become scattered and fragmented. With a focus on the commercial application of the IoT and corresponding research, we employ a co-citation analysis and literature review to structure the field. We find and describe 19 research themes. To consolidate the extant research, we propose a research framework, which is based on a theoretical implementation process of IoT as a concept, specific IoT applications, or architectures integrated in an adapted input–process–output model. The main variables of the model are an initial definition and conceptualization of an IoT concept (input), which goes through an evaluation process (process), before it is implemented and can have an impact in practice (output). The paper contributes to interdisciplinary research relating to a business and management perspective on IoT by providing a holistic overview of predominant research themes and an integrative research framework.