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    Impacts of Outsourcing Medication Repackaging in Nursing Homes: Quality and Areas of Pharmacy–Nursing Collaboration

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    The task of repackaging resident’s medication into medication organizers is increasingly outsourced from nursing homes to pharmacies, presenting an opportunity to redefine the interaction between nursing and pharmaceutical staff. This study investigated whether outsourcing medication repackaging changes the quality and subjects of collaboration between the two professions. A cross-sectional survey was developed targeting heads of nursing in German nursing homes. A simple random sample of 1415 nursing homes was contacted by phone. Respondents participated either by phone or by online survey. Quality of collaboration was measured using Kenaszchuk’s Interprofessional Collaboration Scale (ICS) with its subscales Communication, Accommodation and Isolation. Topics of interaction were ascertained using items along a medication management phase model. Differences in response frequencies were analyzed using Fisher’s exact test. A total of 268 nursing homes participated (response: 18.9%). Of these, 132 (49.3%) had outsourced repackaging. Respondents at nursing homes with in-house medication repackaging rated the subscale Accommodation more favorably (p = 0.008), while Communication and Isolation showed no difference. Of the 13 individual ICS items, “passing on information” (Communication) was rated better by respondents at homes with outsourced repackaging (p = 0.019) and “consideration of convenience” (Accommodation) more favorably by respondents at homes with in-house repackaging (p = 0.042). Nursing staff at homes with outsourced medication repackaging interacted with pharmaceutical staff more frequently on medication changes (p < 0.001), but less frequently on tablet splitting (p = 0.035). In conclusion, outsourcing medication repackaging has a limited impact on the quality of interprofessional collaboration between the two professions but may have the potential to reduce ambiguities regarding splitting tablets

    Developing a leadership 4.0 coaching concept to address the growing labour shortage in the tourism industry

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    This paper develops a theoretical framework for a leadership 4.0 coaching concept as a response to the economic and social transformations caused by digital disruption, with a focus on the tourism industry and its current labour shortage. It argues that addressing these challenges occurs primarily on a psychological level, through individualised communication and commitment. Consequently, leadership in the tourism industry must adopt an idiosyncratic style, where managers not only focus on the needs of their employees but also reflect on their own leadership roles and behaviours. Thus, the proposed leadership 4.0 coaching concept is built on three key pillars: 1) attachment and relationship; 2) space for reflection; and 3) attitude, charisma and followership. These pillars create a framework helping leaders foster employee-centered behaviours that enhance engagement, well-being, and personal growth. Leadership 4.0 coaching offers a pathway to tackle the labour shortage by promoting flexible, reflective, empathetic, and ethical management styles

    From Landscape to Cityscape - Integrating Natural Resources into Urban Hospitality and Tourism to enhance Guests’ Well-being and Recovery

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    Urban hospitality increasingly integrates natural elements like living walls and wooden features through biophilic design. While prior research focused on sustainability and consumer behavior, this study examines how natural resources in urban hospitality impact travelers' well-being and stress reduction. A qualitative focus group study with 20 rural resort guests identified three key restorative elements: (1) wood and forest features, (2) flora and fauna, and (3) water. These were linked to feelings of longevity and freshness, fostering well-being and recovery. The second phase of this mixed-method study involves a quantitative on-site survey in six urban hotels with biophilic design using a questionnaire and PhotoVoice technique. It will evaluate how these restorative elements and outcomes can be replicated in urban settings. The findings aim to enhance restorative practices in hospitality and other urban spaces, such as hospitals or schools, and may be applicable to other stakeholder groups like employees and local communities

    Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization

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    This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging in operational decision-making. We evaluate four scenarios for an energy arbitrage scenario, that vary in model precision and treatment of aging costs. Key performance metrics include operational revenue, power schedule mismatch, missed revenues, capacity losses, and revenue generated per unit of capacity loss. Our analysis reveals that ignoring heterogeneity of subunits may lead to infeasible dispatch plans and reduced revenues. In contrast, combining accurate representation of degraded subsystems and the consideration of aging costs in the objective function improves operational accuracy and economic efficiency of BESS with heterogeneous aged subunits. This fully informed scenario achieves 21% higher revenue per unit of SOH loss compared to the baseline scenario. These findings highlight that modeling aging heterogeneity is not just a technical refinement but may become a crucial enabler for maximizing both short-term profitability and long-term asset value in particular for long BESS usage scenarios

    Accounting for inconclusive results and repeated testing: A framework for evaluating wearable electrocardiogram diagnostic performance with application to Apple Watch and artificial intelligence-enhanced interpretation

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    Background Conventional wearable electrocardiogram (ECG) validation excludes inconclusive results and assumes single-attempt testing, which inflates reported diagnostic performance for atrial fibrillation (AF) detection. Current reporting frameworks do not reflect real-world clinical use. Objective The study aimed to introduce and evaluate an intention-to-diagnose (ITD) framework incorporating inconclusive outputs and repeat testing for realistic assessment of wearable ECG diagnostic performance in AF detection

    Exploring the Green AI Potential of Adapter Tuning for Language Models

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    Large Language Models are of fundamental importance for future AI usage in industry and society. The environmental impact of training and inference of such models however is devastating, which necessitates research into more efficient model mechanisms. In the simple context of the well-established BERT architecture, this study performs a comprehensive comparison between classical fine-tuning, which involves most or all of the model weights, and parameter-efficient Adapter Tuning, in which shallow trainable layers are introduced throughout the model while the vast majority of original weights remain unchanged. A series of experiments were carried out in which the BERTbase-architecture was trained on the LexGLUE benchmark with fine-tuning and Adapter Tuning for each data set. Through extensive comparisons in the experiments, it was found that Adapter Tuning is advantageous from a green AI perspective at epoch level, supporting the claims made in the literature. However, in our experiments reaching model convergence with Adapter Tuning requires significantly more time, making this training method in total less environmentally friendly than the conventional fine-tuning method, at least for the chosen model family

    Analysis and Optimization of GaN-Based AC-DC Converters for Enhanced ZVS Performance

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    Resonant-based power converters are widely adopted due to their ability to achieve high efficiency through soft switching techniques, particularly zero voltage switching (ZVS). However, these converters often require additional components such as inductors, capacitors, transformers, diodes and active switches, which complicate the design and increase the size of the converter. This paper investigates the conditions for naturally achieving ZVS in a GaN-based Power factor correction or boost converter, utilizing parasitic capacitance of switch and boost inductor, reducing switching losses and EMI while enhancing power density and efficiency. The paper proposes a technique that ensures ZVS without adding any additional components even when inherent conditions are not satisfied, by driving the input inductor current negative before turning off the high-side switch. The proposed methodology is validated through comprehensive mathematical analysis, and experimental results and compared with normal MOSFETs using simulations demonstrating its effectiveness in enhancing converter performance

    Hotellerie

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    Digitalisierung in der Nachbarschaftshilfe für Ältere: Ergebnisse einer ethnografischen Implementierungsstudie im ländlichen Raum

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    Digitale Matching-Plattformen zur Vermittlung von Helfenden versprechen für Organisationen und Engagierte effzientere Vermittlungsprozesse, weitere Zugänge für das Erschließen neuer Zielgruppen sowie eine stärkere Personalisierung und Passung in der Vermittlung. Aber zeigen sich derartige Vorteile in der Praxis tatsächlich? Und welche Herausforderungen und Gelingensbedingungen sind mit der Einführung entsprechender digitaler Tools in der Nachbarschaftshilfe verbunden? Das wurde aus einer innovations- und implementierungswissenschaftlichen Perspektive in einer ethnografischen Fallstudie am Beispiel einer kleinen Marktgemeinde mit etwa 5.000 Einwohnern untersucht. Der Beitrag stellt aus- gewählte Ergebnisse dieser Studie vor

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