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Mitochondrial 3-hydroxy-3-methylglutaryl-coenzyme A synthase deficiency: From metabolism to clinical implications
No full textA context-led approach to media systems research
Get PDFWhy is the printed press booming in India but declining in the USA? Why are Swiss citizens voting to keep public service broadcasting fees, while France is abolishing them? Why are press councils a tool of media accountability in one country and a tool of gov ernment control in another? Why are the media systems that developed in the countries of the former Soviet Union so different
The Art of Repair in Human-Agent Conversations: A Taxonomy of Repair Strategies by Users and LLM-Based Conversational Agents
No full textLarge Language Models (LLMs) like ChatGPT are increasingly embedded in everyday tasks of various professions, yet LLMs' outputs often remain unreliable, ambiguous, or misleading. This paper explores how users identify and repair troubles to make LLMs make things right in situated interactions of various contexts. Using an ethnomethodological lens, we examine 21 real-world chat transcripts across diverse work contexts. Our analysis reveals a broad repertoire of repair practices, including factual corrections, stylistic refinements, implicit signals, and strategic reframings. The findings challenge the view that users’ repair work on LLM outputs is merely a response to system failure. Instead, our findings present a taxonomy of repair work of both users and conversational agents, comprising 6 types of repair initiators (errors, dissatisfactions, apologies, shortcomings, implicit signals, and contextualization), 3 stages of repair elements (6 types of trouble classification, 3 types of trouble specification, and 7 types of trouble management), and 3 types of repair processes (incremental, grounding, and validating). These repair categories demonstrate the core of human-agent collaboration: meaning and correctness are not pre-given but are achieved through situated work for all practical purposes. By treating trouble as an ordinary part of collaborative work, we highlight the need to design for user repair interaction alongside improving model reliability. These findings contribute to ongoing debates in HCI and CSCW around the accountability, intelligibility, and co-construction of meaning in human-AI interaction regarding LLMs applications
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No full textBSG, Urteil des 2. Senats des BSG vom 3.12.2024 – B 2 U 11/22
Prevalence and associated factors of occupational injuries among garment and textile workers: Evidence from the Bangladesh Labour Force Survey 2016-17
No full textAnnually, numerous workers face job loss, injuries, and fatalities due to various occupational injuries (OIs). However, less is known regarding the burden of OIs and their associated factors in the textile and garment industries in Bangladesh. This study aimed to determine the prevalence of OI and the individual and job-related factors associated with OI among textile and garment workers in Bangladesh. We analyzed cross-sectional data of 13,738 workers collected during 2016-2017 from the nationally representative Bangladesh Labor Force Survey. We employed multiple Firth logistic regression models to explore the different levels of associated factors of OI. The overall prevalence of OI was 1.8%, with a higher prevalence in the textile industry (3.8%) compared to the garment industry (1.2%). Within the textile industry, jute manufacturing exhibited the highest prevalence (12.3%), while in the garment sector, the embroidery and wearing industries had the highest prevalence (1.8%). Adjusted models revealed that, in the textile industry, migrant workers had higher odds of OI (Adjusted Odds Ratio, AOR = 1.65; p = 0.017) compared to non-migrant workers. In the garment industry, male workers (AOR = 1.95; p = 0.002) and those working over 48 hours per week (AOR = 1.70; p = 0.063) were at greater risk of OI. A hazardous work environment significantly increased the odds of OI in both industries (textile: AOR = 13.06; p < 0.001; and garment: AOR = 3.13; p < 0.001). Additionally, garment workers without adequate protective equipment or cloth while working had a higher likelihood of OI (AOR = 1.90; p = 0.006). Regionally, workers in the Barisal division had higher odds of OI in the textile industry. Although the overall prevalence of OI was low, the disproportionate burden among certain subgroups, especially in jute manufacturing and the manufacture of spooling and thread, highlights critical areas for intervention. Improving workplace safety through the provision of protective equipment and a safer working environment is essential to mitigating OI in the textile and garment industries of Bangladesh
Entwicklung eines evidenzbasierten Beratungskonzepts für E-Klausuren unter Berücksichtigung der Kompetenzorientierung
No full textDie Hochschule Bonn-Rhein-Sieg nutzt seit dem Wintersemester 2021/22 die Prüfungssoftware Dynexite für die Umsetzung von E-Klausuren. Der Aufbau der Infrastruktur sowie die Durchführung erster Klausuren mit Pilotanwenderinnen und -anwendern im Rahmen des Projekts SKILLS wurden bereits erfolgreich umgesetzt. Mittlerweile stehen Fragen der Überführung in den Dauerbetrieb im Mittelpunkt und damit auch Fragen der prüfungsdidaktischen Verortung der E-Klausuren. In diesem Kontext gilt es passende Beratungskonzepte zu entwickeln und dabei auch Qualitätskriterien wie die Kompetenzorientierung zu berücksichtigen. Zur Entwicklung eines zielgruppenorientierten und evidenzbasierten Beratungskonzepts wurden daher Experteninterviews durchgeführt, aus denen Personas erstellt und für die Weiterentwicklung des Beratungsangebots genutzt wurden
