Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology

Educational technology is increasingly used in multicultural contexts and across national cultures. Educational technology users with different national and professional backgrounds may, however, exhibit different attitudes towards technology. Previous research provides isolated evidence of the relationship between learning technology acceptance and culture, and so an overall picture is missing. Therefore, this study attempts to integrate culture (sensu Hofstede, 2001) into an established technology acceptance model (ie. the Unified Theory of Acceptance and Use of Technology, UTAUT, Venkatesh, Morris, Davis & Davis, 2003). Examining a large sample (N = 2866) of learning technology users from Germany and Romania by means of questionnaire survey, we investigate the differences in culture and technology acceptance between sample subgroups. The collected data reveal the presence of cultural differences both between countries and between professions. In line with previous research, these differences are associated with dissimilar acceptance profiles, ie. different values of acceptance variables and of path coefficients between them. Based on the findings, this study makes headway in cross-cultural research by proposing an extended model of UTAUT – one which integrates three of Hofstede’s culture dimensions. As a practical implication, national and professional culture may shape computer-based learning environments

Superconductivity beyond the Pauli limit in high-pressure CeSb2

We report the discovery of superconductivity at a pressure-induced magnetic quantum critical point in the Kondo-lattice system CeSb2, sustained up to magnetic fields that exceed the conventional Pauli limit eight-fold. Like CeRh2As2, CeSb2 is locally non-centrosymmetric around the Ce-site, but the evolution of critical fields and normal state properties as CeSb2 is tuned through the quantum critical point motivates a fundamentally different explanation for its resilience to applied field.Comment: 5 pages, 3 figure

Erwartungen an Wissenschaft in Krisenzeiten: Impulse für die Technikfolgenabschätzung aus zwei Beteiligungsformaten

The consequences of the COVID-19 pandemic are an accelerator of profound socio-technical transformation processes. Science in general and technology assessment (TA) in particular can and should play an important role in investigating and evaluating these transformation processes and providing robust orientation and transformation knowledge for (political) decision makers and the public. Based on two online surveys “Social consequences of the corona crisis” and data from a citizens’ dialogue, this article examines the assessment of trust in and expectations of science on the part of the TA‑related community and civil society. Lessons for successful TA are synthesized on the basis of inductively derived thematic clusters, such as dealing with uncertain knowledge and ambiguity or the diversity of research approaches

Designing for interaction

At present, the design of computer-supported group-based learning (CS)GBL) is often based on subjective decisions regarding tasks, pedagogy and technology, or concepts such as ‘cooperative learning’ and ‘collaborative learning’. Critical review reveals these concepts as insufficiently substantial to serve as a basis for (CS)GBL design. Furthermore, the relationship between outcome and group interaction is rarely specified a priori. Thus, there is a need for a more systematic approach to designing (CS)GBL that focuses on the elicitation of expected interaction processes. A framework for such a process-oriented methodology is proposed. Critical elements that affect interaction are identified: learning objectives, task-type, level of pre-structuring, group size and computer support. The proposed process-oriented method aims to stimulate designers to adopt a more systematic approach to (CS)GBL design according to the interaction expected, while paying attention to critical elements that affect interaction. This approach may bridge the gap between observed quality of interaction and learning outcomes and foster (CS)GBL design that focuses on the heart of the matter: interaction

Immunothrombotic Dysregulation in COVID-19 Pneumonia is Associated with Respiratory Failure and Coagulopathy

Background: SARS-CoV-2 infection causes severe pneumonia (COVID-19), but the mechanisms of subsequent respiratory failure and complicating renal and myocardial involvement are poorly understood. In addition, a systemic prothrombotic phenotype has been reported in COVID-19 patients. Methods: A total of 62 subjects were included in our study (n=38 patients with RT-PCR confirmed COVID-19 and n=24 non-COVID-19 controls). We performed histopathological assessment of autopsy cases, surface-marker based phenotyping of neutrophils and platelets, and functional assays for platelet, neutrophil functions as well as coagulation tests. Results: We provide evidence that organ involvement and prothrombotic features in COVID-19 are linked by immunothrombosis. We show that in COVID-19 inflammatory microvascular thrombi are present in the lung, kidney, and heart, containing neutrophil extracellular traps associated with platelets and fibrin. COVID-19 patients also present with neutrophil-platelet aggregates and a distinct neutrophil and platelet activation pattern in blood, which changes with disease severity. Whereas cases of intermediate severity show an exhausted platelet and hyporeactive neutrophil phenotype, severely affected COVID-19 patients are characterized by excessive platelet and neutrophil activation compared to healthy controls and non-COVID-19 pneumonia. Dysregulated immunothrombosis in SARS-CoV-2 pneumonia is linked to both ARDS and systemic hypercoagulability. Conclusions: Taken together, our data point to immunothrombotic dysregulation as a key marker of disease severity in COVID-19. Further work is necessary to determine the role of immunothrombosis in COVID-19

In-depth profiling of COVID-19 risk factors and preventive measures in healthcare workers

PURPOSE To determine risk factors for coronavirus disease 2019 (COVID-19) in healthcare workers (HCWs), characterize symptoms, and evaluate preventive measures against SARS-CoV-2 spread in hospitals. METHODS In a cross-sectional study conducted between May 27 and August 12, 2020, after the first wave of the COVID-19 pandemic, we obtained serological, epidemiological, occupational as well as COVID-19-related data at a~quaternary care, multicenter hospital~in Munich, Germany. RESULTS 7554 HCWs participated, 2.2% of whom tested positive for anti-SARS-CoV-2 antibodies. Multivariate analysis revealed increased COVID-19 risk for nurses (3.1% seropositivity, 95% CI 2.5-3.9%, p = 0.012), staff working on COVID-19 units (4.6% seropositivity, 95% CI 3.2-6.5%, p = 0.032), males (2.4% seropositivity, 95% CI 1.8-3.2%, p = 0.019), and HCWs reporting high-risk exposures to infected patients (5.5% seropositivity, 95% CI 4.0-7.5%, p = 0.0022) or outside of work (12.0% seropositivity, 95% CI 8.0-17.4%, p < 0.0001). Smoking was a protective factor (1.1% seropositivity, 95% CI 0.7-1.8% p = 0.00018) and the symptom taste disorder was strongly associated with COVID-19 (29.8% seropositivity, 95% CI 24.3-35.8%, p < 0.0001). An unbiased decision tree identified subgroups with different risk profiles. Working from home as a preventive measure did not protect against SARS-CoV-2 infection. A PCR-testing strategy focused on symptoms and high-risk exposures detected all larger COVID-19 outbreaks. CONCLUSION Awareness of the identified COVID-19 risk factors and successful surveillance strategies are key to protecting HCWs against SARS-CoV-2, especially in settings with limited vaccination capacities or reduced vaccine efficacy