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Situational Judgement Tests (SJTs) offer a promising approach in this respect. The BMBF-funded (BMBF = Bundesministerium für Bildung und Forschung – Federal Ministry of Education and Research) joint project voLeA (Entwicklung videobasierter Lehr- und Assessmentmodule zur Gesprächskompetenz im Medizinstudium = Development of video-based teaching and assessment modules for communicative competence in medical studies) addresses these two issues. Specifically, the project is engaged in developing e-learning modules to promote communicative competence and an assessment of this competence using an SJT. The present paper focuses on the benefits of technology-based learning and assessment units for clinical communicative competence in medical studies, using the voLeA project as an example.The increasingly digitized healthcare system requires new skills from all those involved. In order to impart these competencies, appropriate courses must be developed at educational institutions. In view of the rapid development of new aspects of digitization, this presents a challenge; suitable teaching formats must be developed successively. The establishment of cross-location teaching networks is one way to better meet training needs and to make the necessary spectrum of educational content available. As part of the Medical Informatics Initiative, the HiGHmed consortium is establishing such a teaching network, in the field of medical informatics, which covers many topics related to the digitization of the health care system. Various problem areas in the German education system were identified that hinder the development of the teaching network. These problem areas were prioritized firstly according to the urgency of the solution from the point of view of the HiGHmed consortium and secondly according to eximantic interoperability of learning performance recording was identified.Digitization in medical education opens up numerous exciting new possibilities. It is the task of those responsible for teaching to take advantage of this opportunity and use digitization as teaching content, but also as a design option for existing teaching structures. Only through up-to-date, longitudinal knowledge transfer a change be initiated and, with the help of innovative teaching and learning concepts, teachers and students can be empowered to achieve this. The aim is to evaluate, critically question and integrate digitization into the overall context of healthcare.Healthcare professionals may experience moral distress when navigating difficult positions in which acting or providing for their patient’s best interest may not be possible due to barriers outside of their control. This phenomenon has primarily been investigated within nursing and other clinical disciplines; however, experiences of moral distress have also been noted in the social work profession. Healthcare professionals, including social workers, may experience moral distress when witnessing violations of their patients’ human rights. Fenretinide clinical trial This article discusses research reporting on experiences of moral distress within the social work profession, a reality social work students may also face during their field placements. Understanding the causes and effects of moral distress within the social work profession is important when preparing social work students as they transition into the workforce. Future research investigating moral distress should include the perspectives of social work field students, as their experiences are understudied. This phenomenon is especially important to investigate, as the current COVID-19 pandemic is expected to exacerbate health challenges.Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible-Infectious-Recovered (SIR) epidemic model on contact networks in the Chinese case. In this paper, we investigate the prediction accuracy of the SIR model on networks also for Italy. Specifically, the Italian regions are a metapopulation represented by network nodes and the network links are the interactions between those regions. Then, we modify the network-based SIR model in order to take into account the different lockdown measures adopted by the Italian Government in the various phases of the spreading of the COVID-19. Our results indicate that the network-based model better predicts the daily cumulative infected individuals when time-varying lockdown protocols are incorporated in the classical SIR model.A blood clot is formed in response to bleeding by platelet aggregation and adherence to fibrin fibers. Platelets contract over time, stabilizing the clot, which contributes to wound healing. We have developed platelet-like particles (PLPs) that augment clotting and induce clot retraction by mimicking the fibrin-binding capabilities and morphology of native platelets. Wound repair following hemostasis can be complicated by infection; therefore, we aim to augment wound healing by combining PLPs with antimicrobial gold to develop nanogold composites (NGCs). PLPs were synthesized with N-isopropylacrylamide (NIPAm)/co-acrylic acid in a precipitation polymerization reaction and conjugated to a fibrin-specific antibody. Two methods were employed to create NGCs 1) noncovalent swelling with aqueous gold nanospheres, and 2) covalent seeding and growth. Since the ability of PLPs to mimic platelet morphology and clot retraction requires a high degree of particle deformability, we investigated how PLPs created from NGCs affected these properties. Cryogenic Scanning Electron Microscopy (cryoSEM) and atomic force microscopy (AFM) demonstrated that particle deformability, platelet-mimetic morphology and clot retraction were maintained in NGC-based PLPs. The effect of NGCs on bacterial adhesion and growth was assessed with antimicrobial assays. These results demonstrate NGCs fabricated through noncovalent and covalent methods retain deformability necessary for clot collapse and exhibit some antimicrobial potential. Therefore, NGCs are promising materials for preventing hemorrhage and infection following trauma.