12291 research outputs found
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Learning from the best: how regional knowledge stimulates circular economy transition at company level
No full textThis paper investigates whether, and what kind of, regional knowledge has a stimulating effect on circular economy (CE) innovation by companies. We thus add to the literature on regional knowledge spillovers, which has rarely focussed explicitly on the CE. For the empirical study, we create econometric regressions based on a representative dataset with extensive information on the CE activities of about 1400 Swiss firms. The results confirm that regional knowledge is important for the implementation of CE innovations. However, geographical distance and the quality of the knowledge must be taken into account, that is, companies primarily learn from the best
Preliminary investigation of an idiopathic muscle disease in farmed burbot Lota lota
No full textThe rearing of less established fish species in recirculating aquaculture systems (RASs) is increasing, but may require adaptations of the rearing facilities if health impairments occur. We observed several health issues in burbot Lota lota reared for up to 2 yr in a RAS and used microbiological, histological and molecular-biological methods to identify the causative agents. Minor skin trauma led to the development of ulcers. In addition, several fillets of burbot showed pronounced granulomatous inflammation and calcification with signs of muscle fiber degeneration which resembled a condition called ‘sandy flesh disease’ in North American walleye. Several infectious agents were able to be excluded as a cause for the disease. Carnobacterium maltaromaticum was isolated in high numbers in some of the affected muscle tissue. However, the role of this bacterium or other causative agents or husbandry conditions remains to be elucidated
AI and Climate Protection: Research Gaps and Needs to Align Machine Learning with Greenhouse Gas Reductions
No full textMachine learning (ML) promises to revolutionize our socio-economic landscape, yet its impacts on greenhouse gas (GHG) emissions and strategies to harness ML for climate protection are not well understood. This discussion paper reviews key research on ML’s GHG effects, highlighting significant research gaps and needs for a climate-oriented ML transformation. The results show that research on GHG emissions caused during model development, training, and operation is progressing. However, there is no comprehensive overview of effective measures to reduce them along the entire ML software and hardware life cycle. (Industrial) research on the GHG effects of ML applications focuses mainly on GHG reduction potentials while neglecting the possibility that ML applications also increase emissions. Thus, research in at least three key areas is needed to align ML with GHG reductions. First, robust methods to assess and report the GHG impacts of ML models and applications are required to systematically compare them and identify best practices. Second, comprehensive GHG assessments at every effect level are essential to identify measures to increase the GHG efficiency of ML models and exploit their climate protection potential. Third, analysing ML business models is crucial to propose measures that incentivize ML providers and users to reduce GHG emissions. Addressing these issues is essential for mindfully steering ML toward GHG reductions. Otherwise, there is a risk that the GHG footprint of ML will skyrocket, that ML applications will primarily accelerate GHG-intensive activities, and that an opportunity for decoupling (economic) growth and GHG emissions will be missed
Ein Rat für Armutsfragen in der Schweiz schafft Legitimität für die Perspektive der Betroffenen
No full textDie Nationale Plattform gegen Armut (NAPA) lanciert zum Abschluss ihres Arbeitsprogramms einen Rat für Armutsfragen für die Schweiz. In diesem Gremium erhalten Armutsbetroffenen eine kollektive Stimme, sodass sie Initiativen und Anliegen in politischen Prozesse zielgerichtet einfliessen lassen können. Gleichzeitig können politische Entscheidungsträger:innen Beratung und Rückmeldungen zu Vorlagen in der Armutspolitik vom Rat einholen.
In einem gemeinsam mit Forschenden lancierten Projekt wurden die Eckpunkte dieser Beteiligungsstruktur erarbeitet. Der Bundesrat entscheidet nun, ob er sich am Rat für Armutsfragen in der Schweiz beteiligt.
Wie kam es dazu? Was hat der Prozess der Erarbeitung gebracht? Welche Hoffnungen werden in den Armutsrat gesetzt? Ein Gespräch mit vier Beteiligten
Maria Schmidt und Theodor Kirchner
No full textAn article commemorating the 200th anniversary of the birth of Theodor Kirchner (1823-1903), with a special focus on his wife, the soprano Maria Schmidt-Kirchner, and featuring the first publication of a portrait of her by Clementine Stockar-Escher
Origin of the Species Revisited
No full textThe Wallace Collection. Origin of the Species Revisited Vol. 1. The Bellon Complete Edition. Quintettes 1-12. TWC BS2021-004. 3 Discs
Job satisfaction of advanced practice nurses in cancer care: A systematic review
No full textPURPOSE: To identify, evaluate, and summarise evidence about advanced practice nurses' (APNs') job satisfaction in cancer care and its related factors. METHODS: A systematic review was performed including a narrative synthesis. Relevant evidence was identified from searches of three databases: Medline (PubMed), EBSCO (CINAHL), and PsychInfo. This systematic review searched for relevant articles published in English between 2000 and 2020. A structured process according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement was followed. The articles critical appraisal was based on the Mixed-Methods Appraisal Tool. Narrative data synthesis was based on the extracted data (study characteristics, type of questionnaire, level of job satisfaction, related factors, and risk of bias). RESULTS: Just four articles met the inclusion criteria and were included in the systematic review. Job satisfaction of APNs providing cancer care in different care settings varied from low to high. Satisfying factors were personal, role, work, and institutional factors, whereas dissatisfies included the work setting and stress factors. Different measurement tools of the job satisfaction level were used, which might lead to non-comparable results. CONCLUSION: The number of included studies and the findings from this systematic review present underinvestigated content according to the influence of patient group demands on APNs' job satisfaction. Evidence of patient group-specific factors relevant to APNs' job satisfaction could not be found. Further research is needed to address the influence of advanced nursing practice and patient group-related factors on job satisfaction
GraLMatch : matching groups of entities with graphs and language models
Full text linkIn this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group records originating from multiple data sources but representing the same real-world entity. We focus on the effects of transitively matched records, i.e. the records connected by paths in the graph G = (V,E) whose nodes and edges represent the records and whether they are a match or not. We present a real-world instance of this problem, where the challenge is to match records of companies and financial securities originating from different data providers. We also introduce two new multi-source benchmark datasets that present similar matching challenges as real-world records. A distinctive characteristic of these records is that they are regularly updated following real-world events, but updates are not applied uniformly across data sources. This phenomenon makes the matching of certain groups of records only possible through the use of transitive information.
In our experiments, we illustrate how considering transitively matched records is challenging since a limited amount of false positive pairwise match predictions can throw off the group assignment of large quantities of records. Thus, we propose GraLMatch, a method that can partially detect and remove false positive pairwise predictions through graph-based properties. Finally, we showcase how fine-tuning a Transformer-based model (DistilBERT) on a reduced number of labeled samples yields a better final entity group matching than training on more samples and/or incorporating fine-tuning optimizations, illustrating how precision becomes the deciding factor in the entity group matching of large volumes of records
Richtungswechsel: ein Ansatz für die Beratung von Langzeitbeziehenden
No full textDie Berner Fachhochschule hat gemeinsam mit der SKOS den Beratungsansatz «Richtungswechsel» entwickelt, der das Kompetenzerleben von Langzeitbeziehenden in der Sozialhilfe erhöhen und den Langzeitbezug verringern soll. Aufgrund der positiven Projektergebnisse bietet die SKOS nun allen Sozialdiensten Schulungen des Ansatzes an
