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Translating Research into Practice: Implementing Music Interventions for Dementia in the German Context
No full text„Mein Wille zählt!“ - Partizipation von Menschen mit Behinderungen im Beratungssetting am Modell der Gesundheitlichen Vorsorgeplanung
No full textDie vorliegende Bachelorarbeit befasst sich mit dem Thema Partizipation von Menschen mit Behinderungen im Beratungssetting. Dies wird anhand des Beratungsangebotes „Gesundheitliche Vorsorgeplanung“, kurz GVP, der Mainfränkischen Werkstätten GmbH betrachtet. Die GVP bespricht Themen wie medizinische Behandlungswünsche oder Regelungen zur Beerdigung von Menschen mit Behinderungen und hält deren Anliegen schriftlich fest, sodass in Notfällen auf dieses Dokument zurückgegriffen werden kann. In diesem Zusammenhang wird zuerst Fachliteratur rund um das Thema Beratung betrachtet. Dabei werden auch Zielgruppenspezifika herausgearbeitet, welche für die Beratung von Menschen mit Behinderungen von Bedeutung sind.
Durch Beobachtungen von Beratungsgesprächen und anschließende Interviews mit den Klientinnen der GVP soll herausgefiltert werden, inwiefern Partizipation in der Beratung gewährleistet ist. Dazu werden auf Grundlage von Fachliteratur die Kommunikation und das Verhalten der Beraterin im Gespräch untersucht. Gleichzeitig sollen Mitwirkungsmöglichkeiten der Klientinnen in der Beratung analysiert werden. Außerdem wird überprüft, ob diese die Anforderungen erfüllen, um an einem partizipativen Gespräch teilzunehmen. Die Ergebnisse aus der Praxis werden schlussendlich auch mit der Konzeption der GVP verglichen, um zu erkunden, ob das Angebot in der Realität so umgesetzt wird, wie es der schriftlich festgelegte Standard der Mainfränkischen Werkstätten GmbH vorsieht.
Die Erhebungen zeigen, dass die Bedürfnisse der Klientinnen im Beratungsprozess berücksichtigt werden und sie auf allen Ebenen die Möglichkeit zur Mitwirkung haben. Das Angebot erfüllt die Erwartungen der Klientinnen und die Anforderungen der Konzeption. Zudem wird deutlich, dass der Erfolg der Beratung nicht nur von den Fähigkeiten der Beraterin, sondern auch von den individuellen Kompetenzen der Klientinnen abhängig ist. Die theoretischen sowie praktischen Erkenntnisse dieser Arbeit können genutzt werden, um Beratungsangebote für diese Zielgruppe auf- und auszubauen
Social Entrepreneurship and Sustainability
No full textThis compilation book aims to present the views of a group of academics — primarily composed of young scholars — on just some aspects of these issues. Naturally, given the complexity of both the problems and the potential solutions, it is not possible to provide comprehensive answers in just a few book chapters or even in a single volume. Nevertheless, we believe that such an initiative is important in contributing to the ongoing discussion
A computer vision system for recognition and defect detection for reusable containers
Get PDFAbstract
Small load carriers (SLCs) are standardized reusable containers used to transport and protect customer goods in many manufacturers. Throughout the life cycle of the SLCs, they will be collected, manually checked for defects (wear, cracks, and residue on the surface), and cleaned by specialized logistic companies. Human operators in small to medium-sized companies manually evaluate the defects due to the variety and degree of possible defects and varying customer needs. This manual evaluation is not scalable and prone to errors. This work aims to fill this gap by proposing a computer vision system that can recognize the SLC type for inventory management and perform defect detection automatically. First, we develop a camera portal, consisting of standard components, that capture the relevant surfaces of the SLC. A labeled dataset of 17,530 images of 34 different SLCs with their defect status was recorded using this camera portal. We trained a classification model (ConvNeXt) using our dataset to predict the different types of SLCs achieving 100% class prediction accuracy. For defect detection, we explore eight state-of-the-art (SOTA) anomaly detection models that achieved high rankings in the MVTec industrial anomaly detection benchmark. These models are trained using default hyperparameters and the two highest-scoring models were chosen and fine-tuned. The best-fine-tuned models based on “Area under the Receiver Operating Characteristic Curve (AUROC)” are PatchCore (0.811) and DRAEM (0.748). These results indicate that there is still potential for improvement in the automation of defect detection of SLCs
Healthcare assessment tools - a valid source of data for pre-hospital care? Usability for ensuring medical care in the event of a disaster
Get PDFProviding care for vulnerable population groups in the event of a disaster or evacuation is in the interests of those affected, of local authorities, health insurance companies, other insurance companies and the responsible authorities and organizations with security tasks (BOS). Evacuation and supply planning is currently mostly carried out using regionally or locally adapted so-called “isolated or individual solutions” or by means of an individual, time-consuming and usually manual and direct personal data query. Can existing medical health data from healthcare assessment tools provide valid information for the planning of care and care needs in disaster and civil protection?MethodsResearch and analysis of suitable and regularly used care assessment tools in the care sector in Germany.ResultsThe healthcare assessment tools cannot be simply combined. Without adaptation they cannot be used at all or only after concerted efforts to interpret the needs for the care of vulnerable groups in a non-clinical context.DiscussionAn improved use of individual medical data in disaster and civil protection offers many advantages in prevention, diagnostics, therapy and care in the context of disaster medicine, and not only from an ethical point of view. Due to the different tactical procedures and care strategies in disaster medicine, the field of acute care must be clearly separated from the area of evacuation and care of vulnerable groups. Currently, only the German Armed Forces (Bundeswehr) offer an internally secured infrastructure that allows all those involved in the care of soldiers to access all important medical data quickly and easily from any location
Quarterly on Rufugee Problems (4, 1)
Get PDFThis issue covers most current refugee situations and legal discussions. The editorial by Roßkopf highlights the current debate on suspending family reunification for beneficiaries of subsidiary protection in the wake of election campaigns and coalition-forming in Austria and Germany. Kortukova examines the multifaceted impact of the Temporary Protection Directive on the European Unionlabor market following the displacement of beneficiaries of temporary protection due to the 2022 Russian invasion of Ukraine. Katsigianni & Koutsouraki explore the safety assessment regarding third countries and countries of origin and their application in the Greek asylum system based on international and European law, the jurisprudence of the Court of Justice of the European Union and the European Court of Human Rights paired with desktop research on human rights situations in the designated safe countries. Franz critically analyses the Biden and Trump administrations’ refugee and asylum policies and argues existing racial hierarchies as evidenced in U.S. refugee resettlement policies concluding with a number of recommendations for reforms. Jerzak & Wagner present findings of three standarized online surveys directed towards empirically measure and describe the field of Social Work with Refugees in Saxony, Germany, and derive policy recommendations. Finally, dos Santos Gonçalves introduces ‘Operation Welcome’, a Brazilian government initiative to receive Venezuelan migrants and refugees, which has been managing emergency humanitarian assistance on the border between Brazil and Venezuela since 2018
Gesture vs. Touch Control for Unforeseen Situations of Human-Robot Collaborative Assembly
No full textLoss Functions in Diffusion Models: A Comparative Study
No full textDiffusion models have emerged as powerful generative models, inspiring extensive research into their underlying mechanisms. One of the key questions in this area is the loss functions these models shall train with. Multiple formulations have been introduced in the literature over the past several years with some links and some critical differences stemming from various initial considerations. In this paper, we explore the different target objectives and corresponding loss functions in detail. We present a systematic overview of their relationships, unifying them under the framework of the variational lower bound objective. We complement this theoretical analysis with an empirical study providing insights into the conditions under which these objectives diverge in performance and the underlying factors contributing to such deviations. Additionally, we evaluate how the choice of objective impacts the model ability to achieve specific goals, such as generating high-quality samples or accurately estimating likelihoods. This study offers a unified understanding of loss functions in diffusion models, contributing to more efficient and goal-oriented model designs in future research
Designing a Fully Renewable Urban Energy System: The Meaning of Sector Coupling and Hydrogen
No full textThis study is the first in a two-part series focused on establishing a fully renewable and energy-autonomous supply system for a small city. Part 1 explores comprehensive energy modelling, while Part 2 introduces an innovative graphical representation that clarifies the operational management strategies of the city's energy hub.
In this initial part, we conduct an exhaustive analysis of the city's energy needs across all sectors, including residential and commercial electricity demand, heating, and mobility, which provides an almost complete depiction of the urban energy landscape. The city is divided into two clusters: Cluster 1 features decentralized heating primarily through air-to-water heat pumps for low density residential buildings, while Cluster 2 employs a district heating grid for multi-family-buildings.
Our analysis indicates that approximately 9 kW of wind and solar power capacity per inhabitant is necessary to entirely meet energy demands through renewable resources, with wind power contributing the majority.
Hydrogen storage plays a crucial role in mitigating seasonal energy fluctuations by leveraging existing capacities within Germany. The study finds that utilizing waste heat from hydrogen production in district heating networks is more efficient, highlighting the advantages of smaller, community-scale hydrogen power plants over larger facilities that lack thermal integration. Furthermore, the study concludes that additional battery and thermal storages are unnecessary when hydrogen storage is implemented. An investment of 11.5 k€ per capita in energy converter facilities is required
Human or Robot Resource Management? The Future of Work in the Digital Transformation of Manufactoring Companies
No full textThis article examines the transformative effects of Smart Factory technologies - such as human-robot collaboration, intelligent assistance systems and cyber-physical production systems - on organizational design, with a particular focus on central fields of action for Human Resources management (HRM) and operational management. A case study of a German automotive supplier is used to examine how digitalization and automation are changing human work and organizational structures. Two future scenarios for organizational models are proposed: the swarm organization, which consists exclusively of highly qualified employees while robots take over routine tasks, and the polarized organization, which is characterized by a division between highly qualified specialists and low-skilled employees. Each scenario brings different challenges and opportunities for HR management, as companies need to adapt to digital skills, new models of collaboration and the management of a highly specialized or polarized workforce. This paper provides a conceptual framework and actionable insights for HRM and production management to manage the shift towards advanced, automated organizational models and ensure a smooth transition to the Smart Factory of the future