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    Adaptation of Belk’s materialism scale to the Polish population and assessment of relationships between materialism, values, religiosity, and pro-environmental beliefs

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    According to Russell Belk’s conceptualisation, materialism is a personality trait reflected in possessiveness, envy, and non-generosity. The aim of the study was to adapt Belk’s Materialism Scale (BMS) to the Polish population, specifically, to evaluate its psychometric properties (factor structure and reliability) and convergent and divergent validity. Also, we aimed to examine relationships between materialism and values (according to Schwartz’s theory), religiosity, and pro-environmental beliefs (within the New Ecological Paradigm). We conducted two studies: the adaptation study I (N = 770) and the hypotheses-testing study II (N = 568). In Study I, we performed confirmation and exploration factor analyses (CFA and EFA) and established a convergent validity (with the Richins & Dawson’s Materialism Value Scale) and a discriminant validity (with the Jaworska-Gruszczyńska’s Time Organization Scale). After modifying the initial model of the materialism scale, based on error covariance and changes in the number of items, we developed the Polish version of the BMS, which proved its applicability in the Polish population. The Study II results showed that materialism positively related to self-enhancement value, while it negatively related to openness to change and self-transcendence values, and religiosity

    Implicit Balancing and Regularization : Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing

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    Recently, there has been significant progress in understanding the convergence and generalization properties of gradient-based methods for training overparameterized learning models. However, many aspects including the role of small random initialization and how the various parameters of the model are coupled during gradient-based updates to facilitate good generalization remain largely mysterious. A series of recent papers have begun to study this role for non-convex formulations of symmetric Positive Semi-Definite (PSD) matrix sensing problems which involve reconstructing a low-rank PSD matrix from a few linear measurements. The underlying symmetry/PSDness is crucial to existing convergence and generalization guarantees for this problem. In this paper, we study a general overparameterized low-rank matrix sensing problem where one wishes to reconstruct an asymmetric rectangular low-rank matrix from a few linear measurements. We prove that an overparameterized model trained via factorized gradient descent converges to the low-rank matrix generating the measurements. We show that in this setting, factorized gradient descent enjoys two implicit properties: (1) coupling of the trajectory of gradient descent where the factors are coupled in various ways throughout the gradient update trajectory and (2) an algorithmic regularization property where the iterates show a propensity towards low-rank models despite the overparameterized nature of the factorized model. These two implicit properties in turn allow us to show that the gradient descent trajectory from small random initialization moves towards solutions that are both globally optimal and generalize well

    Why or What or How to be moral? : grundlegende Überlegungen zu einer Ethik der Lebensbereiche in der gymnasilaen Oberstufe des Religionsunterrichtes in Bayern

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    Die Präsentation mit Übungen zum ethischen Lernen im RU der Oberstufe des Gymnasiums fokussierte zum einen auf grundlegende systematische Ansätze zur Begründung einer ethischen Orientierung, thematisierte aber im Besonderen den value-action-Gap in der ethischen Bildungsarbeit. Mit dem "Meier-Pagano-Filter" wurde zuerst ein praxistaugliches Distinktionsmodell für ethische Entsscheidungsfindung vorgestellt. Dazu wurde diese systematische Klärung in einem "Learning-by-doing-Prozess" durch den Ansatz eines "Empathiebasierten ethischen Lernens über mulitiple Perspektivenwechsel" ergänzt, der auf den Grundlagen des Ethik-Konzeptes von Georg Lind beruht, jedoch die kognitive Dominanz durch erfahrbare Empathie "aufhebt"

    Service Learning : Theological Ethics in ESD

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    Experiences in a special Service-Learning projec: The Master's Program "Education for Sustainable Development" is based at the geography department. The teaching project already has a long tradition. It was first carried out in 2012 and has continued with a few interruptions to this day. The project employed a service-learning-method, wherein ESD-students engaged directly with community and ecclesiastical institutions such as the Monastery, Catholic schools, or kindergartens

    Gender in Post-Pandemic Research : The Potentials of Grounded Theory to Explicitly Guide Gender-Sensitive Inquiry on Discrimination and Violence

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    Amid the COVID-19 pandemic, a re-exacerbation of gender inequalities and violence against women was reported. For adequately responding to the causes of this situation and its aftermath, a detailed understanding of the gendered impacts of the pandemic and of subsequent developments is necessary. This aim may be supported by particularly using gender-sensitive modes of inquiry. Against this backdrop, we explore the methodological potential of grounded theory (GT) to explicitly guide gender-sensitive research. Given its methodological variations, we argue that an adequate handling of gender in GT can only be determined in relation to a researcher's positioning within the GT landscape. Thus, to assist readers in translating their gender sensitivity into GT practices, this article outlines various interpretations of GT elements, discussing their relation to gender. Furthermore, strategies addressing gender-related challenges are presented and underlined by, among others, studies on discrimination and violence

    "Jugendliche sollen partizipieren können"

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    Interview zur Schließung der kirchlichen Jugendstellen in der Diözese Eichtät

    Cyclic Stochastic Inventory Routing Planning with Reorder Points and Recourse Decision for an Application in Medical Supply

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    Drug availability in clinics is essential for patient services, whose demand for medication on the other hand is uncertain. Thus, clinics need to have a variety of medication available, which lead to high inventory holding costs. In Germany, it is common for a larger central clinic to take over the procurement of drugs and distribute them to smaller surrounding clinics, which results in a two-echelon network structure. The clinics, however, operate according to their own inventory policy as they plan independent of each other. Additionally, these inventory policies include instant replenishment orders to avoid shortages. As these instant replenishment orders only include few medication, these can be performed by a variety of vehicles, including vans, cabs, and aerial drones. We present a two-stage stochastic program for a multi-product two-echelon inventory routing problem with stochastic demands under consideration of inventory policies. We decide on the cost-optimal cyclic delivery patterns and reorder points for the clinics with instant replenishment orders performed by drones as recourse decision in case of shortages. Due to the problem’s complexity caused by the interdependencies of inventory policies in the two echelons, we develop a specialized adaptive large neighborhood search that includes an algorithm for determining local optimal reorder points for the routing in each iteration. We present a case study at a large German clinic, which is responsible for serving surrounding clinics and plans to integrate drone instead of truck deliveries as emergency resupply decision. Our integrated approach not only leads to cost savings of 58.4% for the surrounding clinics but also 15.9% for the central clinic. By using drone delivery compared to van delivery, average stock of medication at surrounding clinics can be reduced by at least 1.7% to 100% for expensive and rarely needed medication, which results in a total cost decrease of 29.8% while maintaining medication availability

    Ulrich von Wilamowitz-Moellendorff als Altertumswissenschaftler jenseits der Wissenschaft

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    Der Klassische Philologe Ulrich von Wilamowitz-Moellendorff trat auch neben seiner eigentlichen Arbeit immer als Altertumswissenschaftler auf. Der Beitrag zeigt auf der Grundlage der "Erinnerungen" (1928) von Wilamowitz-Moellendorff selbst, aber auch der unveröffentlichten Biographie von Otto Kern, inwiefern er seine Reisen immer als Forschungsaufenthalte nutze, wie er in der Öffentlichkeit auftrat und dort die altertumswissenschaftlichen Fächer vertrat sowie seine Beziehung zu Frauen in der Wissenschaft. Auch wird auf seine vielseitige Gelehrsamkeit eingegangen, die die eigentlichen Bereiche der Klassischen Philologie bei Weitem überschritten

    Testing a Community Health Assessment in Germany with the Focus on Planetary Health and Older Adults in an urban Area

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    Background: The World Health Organisation (WHO) defines Community Health Nursing as a special field of nursing that combines nursing, public health and social assistance skills to promote health, improve environmental conditions and support rehabilitation in illness and disability. Although CHNs have a long international tradition, Germany has only just begun to implement CHNs in its healthcare. Key element of practice is the assessment of entire population needs. Community assessment is therefore a crucial part of a Community Health Nurse's work. Through community assessment, a CHN can gather information about the community, define persistent problems, meet needs, prioritize problems and inform the decision-making process. Several CHAs have already been carried out in Germany, most of them project-related and only some of them published in German. A workshop will test a community assessment tool in a large city in eastern Germany with a focus on planetary health and older adults. Methods: The testing of the community health assessment is part of a workshop organized by the CHN specialist group of the German Nursing Association, which will take place in November 2024 in Dresden. Participants will be CHNs or CHN-students, as well as APNs with the focus on public health and community nursing. The assessment will focus on Planetary Health and older adults in the Johannstadt and Neustadt neighborhoods of Dresden. The assessment starts with a general introduction of the framework “Community-as-a-partner model” from Anderson & McFarlane et al. 2015 and a short introduction for the assessment tools. The participants then will be divided into groups. After four hours, the groups meet again and discuss the challenges they faced in conducting the community health assessment using a structured feedback method. Expected results: The expected results show that even in small social areas of a city, there are different challenges and approaches to improve healthcare for vulnerable groups. The ‘community-as-a-partner’ model requires adaptations in the German context, particularly with regard to the legal framework, access to health data and cultural particularities. In addition, the combination of community health and planetary health offers new approaches for care practice and emphasizes the importance of interdisciplinary cooperation and the consideration of environmental factors in care. Discussion: Our workshop will attempt to adapt a community health assessment tool in the German context. The results of our workshop in terms of challenges and potential adaptation needs will provide initial insights into the application of community health assessment in Germany

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