Hochschulbibliothekszentrum des Landes Nordrhein-Westfalen

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    1582 research outputs found

    Somatic experiencing – effectiveness andkey factors of a body-oriented trauma therapy: a scoping literature review

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    Background: The body-oriented therapeutic approach Somatic Experiencing® (SE) treats posttraumatic symptoms by changing the interoceptive and proprioceptive sensations associated with the traumatic experience. Filling a gap in the landscape of trauma treatments, SE has attracted growing interest in research and therapeutic practice, recently. Objective: To date, there is no literature review of the effectiveness and key factors of SE. This review aims to summarize initial findings on the effectiveness of SE and to outline methodspecific key factors of SE. Method: To gain a first overview of the literature, we conducted a scoping review including studies until 13 August 2020. We identified 83 articles of which 16 fit inclusion criteria and were systematically analysed. Results: Findings provide preliminary evidence for positive effects of SE on PTSD-related symptoms. Moreover, initial evidence suggests that SE has a positive impact on affective and somatic symptoms and measures of well-being in both traumatized and non-traumatized samples. Practitioners and clients identified resource-orientation and use of touch as methodspecific key factors of SE. Yet, an overall studies quality assessment as well as a Cochrane analysis of risk of bias indicate that the overall study quality is mixed. Conclusions: The results concerning effectiveness and method-specific key factors of SE are promising; yet, require more support from unbiased RCT-research. Future research should focus on filling this gap

    mateneen - Praxishefte Demokratische Schulkultur 06/2021: Tag der Demokratie

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    Die Praxishefte Demokratische Schulkultur erscheinen halbjährlich und bieten Schulleitungen und Schulpersonal theoretische Grundlagen und praxisorientierte Anleitungen zur demokratiepädagogischen Schulentwicklung. Jedes Themenheft ist jeweils einer demokratiepädagogischen Bauform oder strategischen Frage der Schulentwicklung gewidmet. Die Praxishefte werden allen Luxemburger Schulen als Printausgabe zur Verfügung gestellt und online mit zusätzlichen Materialien und in französischer Fassung vorgehalten

    Social innovation in education and social service organizations

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    Social innovation became a widely discussed topic in politics, research funding programs, and business development. Recent European and US economic and science policies have set aside significant funds to generate and foster social innovation. In view of current challenges such as digitization, Work 4.0, inclusion or migrant integration, the question of how organizations can be empowered to develop new and innovative approaches and service models to social challenges is becoming increasingly urgent. This especially applies to organizations in the fields of education and social services. In education, implementing new ideas and concepts is usually discussed as educational reform, which mostly addresses changes in policy agendas with consequences for national and international education systems. The concept of social innovation however has a different starting point: the source of new ideas and services are identified new, emergent needs in society or re-conceptualized. Such need-based perspectives might bring new impulses to the field of education. Therefore, this paper identifies important existing strands of social innovation research, which need to be considered in the emerging academic discourse on social innovation in education. Looking at social innovation through an education research lens reveals the close relation between learning, creativity, and innovation. Individuals, teams, and even organizations learn, engage in creative problem solving to create new and innovative products and services. From an organizational education perspective, the questions arise, how social innovation emerges and even more important, how the process of developing social innovation can be supported. After a brief introduction in the concept of social innovation, the paper discusses therefore the sites, where social innovation emerges, social innovators, approaches to foster social innovation as well as promoting and hindering factors for social innovation

    How Motives Drive Players: Enhancing Digital Games Research with Motivation Psychology

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    The present work explores how theories of motivation can be used to enhance video game research. Currently, Flow-Theory and Self-Determination Theory are the most common approaches in the field of Human-Computer Interaction. The dissertation provides an in-depth look into Motive Disposition Theory and how to utilize it to explain interindividual differences in motivation. Different players have different preferences and make different choices when playing games, and not every player experiences the same outcomes when playing the same game. I provide a short overview of the current state of the research on motivation to play video games. Next, Motive Disposition Theory is applied in the context of digital games in four different research papers, featuring seven studies, totaling 1197 participants. The constructs of explicit and implicit motives are explained in detail while focusing on the two social motives (i.e., affiliation and power). As dependent variables, behaviour, preferences, choices, and experiences are used in different game environments (i.e., Minecraft, League of Legends, and Pokémon). The four papers are followed by a general discussion about the seven studies and Motive Disposition Theory in general. Finally, a short overview is provided about other theories of motivation and how they could be used to further our understanding of the motivation to play digital games in the future. This thesis proposes that 1) Motive Disposition Theory represents a valuable approach to understand individual motivations within the context of digital games; 2) there is a variety of motivational theories that can and should be utilized by researchers in the field of Human-Computer Interaction to broaden the currently one-sided perspective on human motivation; 3) researchers should aim to align their choice of motivational theory with their research goals by choosing the theory that best describes the phenomenon in question and by carefully adjusting each study design to the theoretical assumptions of that theory.Die vorliegende Arbeit untersucht, wie Motivationstheorien genutzt werden können, um Videospielforschung voranzutreiben. Aktuell stellen die Flow-Theorie und die Selbstbestimmungstheorie die am häufigsten verwendeten Theorien im Feld der Mensch-Computer-Interaktion dar. Die Dissertation gibt einen detaillieren Überblick über die Motiv-Dispositions-Theorie und wie sie verwendet werden kann, um interindividuelle Unterschiede in Motivation zu erklären. Verschiedene Spieler*innen haben unterschiedliche Präferenzen und treffen unterschiedliche Entscheidungen, während sie Videospiele spielen und nicht alle Spielenden desselben Videospiels erleben das Spiel gleich. Ich gebe einen kurzen Überblick über den aktuellen Forschungsstand zur Motivation für das Spielen digitaler Spiele. Anschließend wird die Motiv-Dispositions-Theorie im Kontext von Videospielen in vier verschiedenen Forschungsarbeiten angewendet. Dabei werden sieben Studien mit insgesamt 1197 Teilnehmenden beschrieben. Die Konstrukte „implizite Motive“ und „explizite Motive“ werden detailliert beschrieben, wobei der Fokus auf den beiden sozialen Motiven (Affiliation und Macht) liegt. Als abhängige Variablen werden Verhalten, Präferenzen, Entscheidungen und Erleben in verschiedenen Spielumgebungen (Minecraft, League of Legends und Pokémon) erhoben. Im Anschluss an die vier Forschungsarbeiten folgt eine übergreifende Diskussion zu den sieben Studien sowie der Motiv-Dispositions-Theorie im Allgemeinen. Abschließend wird ein Überblick über weitere Motivationstheorien gegeben und Vorschläge gemacht, wie diese verwendet werden könnten, um unser Verständnis von der Motivation zum Spielen digitaler Spiele in der Zukunft weiter voranzutreiben. Die vorliegende Arbeit basiert auf den folgenden drei grundlegenden Annahmen: 1) Die Motiv-Dispositions-Theorie ist ein wertvoller Ansatz, um individuelle Motivationen im Kontext digitaler Spiele zu verstehen. 2) Es gibt eine Vielzahl von Motivationstheorien, die von Forschenden im Feld der Mensch-Computer-Interaktion genutzt werden können und sollten, um die momentan eingeschränkte Perspektive auf menschliche Motivation zu erweitern. 3) Forschende sollten sich zum Ziel setzen, die angewendete Motivationstheorie mit ihren jeweiligen Forschungszielen abzustimmen, indem die Theorie gewählt wird, die ein vorliegendes Phänomen bestmöglich beschreibt und das Studiendesign auf die theoretischen Annahmen dieser Theorie zugeschnitten wird

    Evaluation of multi-hazard map produced using MaxEnt machine learning technique

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    Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems. Reducing the outputs obtained after each modelling analysis is key to present the results for stakeholders, land managers and policymakers. So, the main goal of this survey was to present a method to synthesize three natural hazards in one multi-hazard map and its evaluation for hazard management and land use planning. To test this methodology, we took as study area the Gorganrood Watershed, located in the Golestan Province (Iran). First, an inventory map of three different types of hazards including flood, landslides, and gullies was prepared using field surveys and different official reports. To generate the susceptibility maps, a total of 17 geo-environmental factors were selected as predictors using the MaxEnt (Maximum Entropy) machine learning technique. The accuracy of the predictive models was evaluated by drawing receiver operating characteristic-ROC curves and calculating the area under the ROC curve-AUCROC. The MaxEnt model not only implemented superbly in the degree of fitting, but also obtained significant results in predictive performance. Variables importance of the three studied types of hazards showed that river density, distance from streams, and elevation were the most important factors for flood, respectively. Lithological units, elevation, and annual mean rainfall were relevant for detecting landslides. On the other hand, annual mean rainfall, elevation, and lithological units were used for gully erosion mapping in this study area. Finally, by combining the flood, landslides, and gully erosion susceptibility maps, an integrated multi-hazard map was created. The results demonstrated that 60% of the area is subjected to hazards, reaching a proportion of landslides up to 21.2% in the whole territory. We conclude that using this type of multi-hazard map may be a useful tool for local administrators to identify areas susceptible to hazards at large scales as we demonstrated in this research

    Amphibian diversity in the Amazonian floating meadows: a Hanski core-satellite species system

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    The Amazon catchment is the largest river basin on earth, and up to 30% of its waters flow across floodplains. In its open waters, floating plants known as floating meadows abound. They can act as vectors of dispersal for their associated fauna and, therefore, can be important for the spatial structure of communities. Here, we focus on amphibian diversity in the Amazonian floating meadows over large spatial scales. We recorded 50 amphibian species over 57 sites, covering around 7000 km along river courses. Using multi-site generalised dissimilarity modelling of zeta diversity, we tested Hanski's core-satellite hypothesis and identified the existence of two functional groups of species operating under different ecological processes in the floating meadows. ‘Core' species are associated with floating meadows, while ‘satellite' species are associated with adjacent environments, being only occasional or accidental occupants of the floating vegetation. At large scales, amphibian diversity in floating meadows is mostly determined by stochastic (i.e. random/neutral) processes, whereas at regional scales, climate and deterministic (i.e. niche-based) processes are central drivers. Compared with the turnover of ‘core' species, the turnover of ‘satellite' species increases much faster with distances and is also controlled by a wider range of climatic features. Distance is not a limiting factor for ‘core' species, suggesting that they have a stronger dispersal ability even over large distances. This is probably related to the existence of passive long-distance dispersal of individuals along rivers via vegetation rafts. In this sense, Amazonian rivers can facilitate dispersal, and this effect should be stronger for species associated with riverine habitats such as floating meadows

    Temporal stability and change in manifest intelligence scores: four complementary analytic approaches

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    The temporal stability of psychological test scores is one prerequisite for their practical usability. This is especially true for intelligence test scores. In educational contexts, high stakes decisions with long-term consequences, such as placement in special education programs, are often based on intelligence test results. There are four different types of temporal stability: mean-level change, individual-level change, differential continuity, and ipsative continuity. We present statistical methods for investigating each type of stability. Where necessary, the methods were adapted for the specific challenges posed by intelligence research (e.g., controlling for general intelligence in lower order test scores). We provide step-by-step guidance for the application of the statistical methods and apply them to a real data set of 114 gifted students tested twice with a test-retest interval of 6 months. • Four different types of stability need to be investigated for a full picture of temporal stability in psychological research • Selection and adaption of the methods for the use in intelligence research • Complete protocol of the implementatio

    Enlightened Hedonism. On the Modernity of an Ancient Way of Life

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    Ausgehend von einer Beschreibung der modernen conditio humana fragt diese Arbeit danach, was ein gelingendes Leben heute ausmachen könnte. Zentrale Referenzpunkte sind dabei antike und moderne hedonistische Ethiken, die genealogische Methode im Anschluss an Nietzsche und Foucault, soziobiologische Erkundungen, die Kontroverse um Freiheit und Determiniertheit des Menschen sowie wie die gegenwärtige „Glücksforschung“ und ausgewählte politische Theorien.Starting from a description of the modern human condition, this work asks what might constitute a good life today. Central points of reference are ancient and modern hedonistic ethics, the genealogical method following Nietzsche and Foucault, sociobiological explorations, the controversy about human freedom and determinacy, as well as contemporary "happiness research" and selected political theories

    Design and Estimation in Business Surveys - Selected Topics

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    Estimation and therefore prediction -- both in traditional statistics and machine learning -- encounters often problems when done on survey data, i.e. on data gathered from a random subset of a finite population. Additional to the stochastic generation of the data in the finite population (based on a superpopulation model), the subsetting represents a second randomization process, and adds further noise to the estimation. The character and impact of the additional noise on the estimation procedure depends on the specific probability law for subsetting, i.e. the survey design. Especially when the design is complex or the population data is not generated by a Gaussian distribution, established methods must be re-thought. Both phenomena can be found in business surveys, and their combined occurrence poses challenges to the estimation. This work introduces selected topics linked to relevant use cases of business surveys and discusses the role of survey design therein: First, consider micro-econometrics using business surveys. Regression analysis under the peculiarities of non-normal data and complex survey design is discussed. The focus lies on mixed models, which are able to capture unobserved heterogeneity e.g. between economic sectors, when the dependent variable is not conditionally normally distributed. An algorithm for survey-weighted model estimation in this setting is provided and applied to business data. Second, in official statistics, the classical sampling randomization and estimators for finite population totals are relevant. The variance estimation of estimators for (finite) population totals plays a major role in this framework in order to decide on the reliability of survey data. When the survey design is complex, and the number of variables is large for which an estimated total is required, generalized variance functions are popular for variance estimation. They allow to circumvent cumbersome theoretical design-based variance formulae or computer-intensive resampling. A synthesis of the superpopulation-based motivation and the survey framework is elaborated. To the author's knowledge, such a synthesis is studied for the first time both theoretically and empirically. Third, the self-organizing map -- an unsupervised machine learning algorithm for data visualization, clustering and even probability estimation -- is introduced. A link to Markov random fields is outlined, which to the author's knowledge has not yet been established, and a density estimator is derived. The latter is evaluated in terms of a Monte-Carlo simulation and then applied to real world business data

    De Rham and Cech-de Rham Cohomologies of Smooth Foliated Manifolds

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    In order to classify smooth foliated manifolds, which are smooth maifolds equipped with a smooth foliation, we introduce the de Rham cohomologies of smooth foliated manifolds. These cohomologies are build in a similar way as the de Rham cohomologies of smooth manifolds. We develop some tools to compute these cohomologies. For example we proof a Mayer Vietoris theorem for foliated de Rham cohomology and show that these cohomologys are invariant under integrable homotopy. A generalization of a known Künneth formula, which relates the cohomologies of a product foliation with its factors, is discussed. In particular, this envolves a splitting theory of sequences between Frechet spaces and a theory of projective spectrums. We also prove, that the foliated de Rham cohomology is isomorphic to the Cech-de Rham cohomology and the Cech cohomology of leafwise constant functions of an underlying so called good cover

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