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In the context of environmental protection, the construction industry plays a key role with significant CO2 emissions from mineral-based construction materials. Recycling these materials is crucial, but the presence of hazardous substances, i.e., in older building materials, complicates this effort. To be able to legally introduce substances into a circular economy, reliable predictions within minimal possible time are necessary. This work introduces a machine learning approach for detecting trace quantities (≥0.06 wt%) of minerals, exemplified by siderite in calcium carbonate mixtures. The model, trained on 1680 X-ray powder diffraction datasets, provides dependable and fast predictions, eliminating the need for specialized expertise. While limitations exist in transferability to other mineral traces, the approach offers automation without expertise and a potential for real-world applications with minimal prediction time.
Amyloidosis represents a rare yet heterogeneous multi-system disorder associated with a grave prognosis and an enormous psycho-emotional strain on patients, relatives, and caregivers. We here present the overall study design and first results ofMY-NEED, a research program aiming to systematically assess the needs of patients suffering from amyloidosis, their relatives and health care professionals (HCPs), and develop an amyloidosis-specific care approach.MY-NEEDuses a mixed-methods approach including focus groups (step 1), a questionnaire-based broad evaluation within the local amyloidosis patient collective (step 2), and the development of a needs-adapted care concept (step 3).Seven patients, six relatives and five HCPs participated in the focus groups (step 1). At the time of diagnosis, patients expressed the need of a smooth diagnostic process, possibly enhanced through improved awareness and better education of local HCPs. There was a strong wish to receive well-founded information and comprehensive support including companionship during medical visits, experience the feeling of being understood, find trust in that "everything possible" is being done, and have effortless access to centre staff. In the course of the disease, patients favoured that the specialized centre should manage treatment coordination, monitoring and psychosocial support. The interface between centre and local HCPs was regarded of particular importance, requiring further investigation into its optimal design.Patients with amyloidosis express particular needs that should appropriately be considered in specifically tailored care concepts.
Introduction:
Entrepreneurs play a central role in economic and social stability, yet the start-up rate in Germany has declined in recent years, possibly due to the stress associated with entrepreneurial endeavors. Stressors such as financial uncertainty and time pressure are prevalent among entrepreneurs and negatively affect their psychological well-being. However, research on stress management strategies among self-employed individuals remains limited.
Methods:
This pilot study conducted a quantitative analysis with 117 self-employed participants in Germany. The study focused on typical entrepreneurial work demands and selected stress coping mechanisms.
Results:
The analysis revealed a significant correlation between quantitative demands and mental exhaustion. Furthermore, a high positive correlation between presenteeism and workload suggests that presenteeism may partially explain the variance in workload. These findings underscore how high job demands can lead to self-endangering behaviors that are detrimental to mental health.
Discussion:
Although no significant moderating effect of proactive coping on the relationship between job demands and mental exhaustion was observed, significant negative correlations between proactive coping and both job demands and mental exhaustion suggest a potential protective role of proactive coping against work-related stress. This study highlights the importance of understanding stress coping strategies among self-employed individuals and their impact on entrepreneurial success and mental well-being. Further research in this area is warranted to develop effective interventions to support the well-being and productivity of self-employed individuals in Germany.
Zielgruppenspezifische Kampagnen auf Facebook und Instagram sind nicht nur für die werbende Wirtschaft relevant. Spätestens seit der US-Wahl 2016 spielt Microtargeting auch in der politischen Kommunikation eine große Rolle. Das haben auch deutsche Parteien und Politiker:innen erkannt. Aufgrund der mangelhaften Transparenz individualisierter Anzeigen besteht die Gefahr, dass eben diese Werbeform Rezipierende im politischen Informationsprozess einschränkt. Ziel der vorliegenden Arbeit ist es, herauszufinden, ob politisches Microtargeting auf Meta-Plattformen einen Einfluss auf die informationelle Selbstbestimmung in Deutschland hat. Zu diesem Zweck wird eine qualitative Literaturanalyse durchgeführt. Neben Untersuchungen zu politischem Microtargeting in Deutschland werden auch Studien zu Desinformation, Social Bots und Theorien zur Fragmentierung der Öffentlichkeit berücksichtigt. Dabei lässt sich feststellen, dass personalisierte Meta-Kampagnen die Informationsfreiheit zumindest tangieren. Das Ausmaß des Einflusses ist allerdings nicht verallgemeinerbar, sondern nutzerspezifisch. Ferner hat Direktmarketing das Potenzial, politische Polarisierungstendenzen auf Facebook und Instagram zu verstärken