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Healthcare simulations help learners develop teamwork and clinical skills in a risk-free setting, promoting reflection on real-world practices through structured debriefs. However, despite video's potential, it is hard to use, leaving a gap in providing concise, data-driven summaries for supporting effective debriefing. Addressing this, we present TeamVision, an AI-powered multimodal learning analytics (MMLA) system that captures voice presence, automated transcriptions, body rotation, and positioning data, offering educators a dashboard to guide debriefs immediately after simulations. We conducted an in-the-wild study with 56 teams (221 students) and recorded debriefs led by six teachers using TeamVision. Follow-up interviews with 15 students and five teachers explored perceptions of its usefulness, accuracy, and trustworthiness. This paper examines: i) how TeamVision was used in debriefing, ii) what educators found valuable and challenging, and iii) perceptions of its effectiveness. Results suggest TeamVision enables flexible debriefing and highlights the challenges and implications of using AI-powered systems in healthcare simulation.

Since political risk is greater in dictatorships than in democracies, this paper investigates the hypothesis that foreign investors scrutinize public information on dictators to assess this risk. It checks whether foreign investors use five relevant dictators' characteristics: age, political experience, education level, education in economics, and prior experience in business. The study is performed on a sample of 100 dictatorial countries from 1973 to 2008. We find that educated dictators are more attractive to foreign investors. We obtain strong evidence that greater educational attainment of the leader is associated with higher FDI. We also find evidence that the leader having tertiary education in economics and prior experience in business is associated with greater FDI. By contrast, the leader's age, and political experience have no relationship with FDI.

Humans display substantial interindividual clinical variability after SARS-CoV-2 infection 1 – 3 , the genetic and immunological basis of which has begun to be deciphered 4 . However, the extent and drivers of population differences in immune responses to SARS-CoV-2 remain unclear. Here we report single-cell RNA-sequencing data for peripheral blood mononuclear cells—from 222 healthy donors of diverse ancestries—that were stimulated with SARS-CoV-2 or influenza A virus. We show that SARS-CoV-2 induces weaker, but more heterogeneous, interferon-stimulated gene activity compared with influenza A virus, and a unique pro-inflammatory signature in myeloid cells. Transcriptional responses to viruses display marked population differences, primarily driven by changes in cell abundance including increased lymphoid differentiation associated with latent cytomegalovirus infection. Expression quantitative trait loci and mediation analyses reveal a broad effect of cell composition on population disparities in immune responses, with genetic variants exerting a strong effect on specific loci. Furthermore, we show that natural selection has increased population differences in immune responses, particularly for variants associated with SARS-CoV-2 response in East Asians, and document the cellular and molecular mechanisms by which Neanderthal introgression has altered immune functions, such as the response of myeloid cells to viruses. Finally, colocalization and transcriptome-wide association analyses reveal an overlap between the genetic basis of immune responses to SARS-CoV-2 and COVID-19 severity, providing insights into the factors contributing to current disparities in COVID-19 risk. Population differences in immune responses to SARS-CoV-2 can be explained by environmental exposures, but also by local adaptation acting through genetic variants acquired after admixture with archaic hominin forms.

The human infectious reservoir of Plasmodium falciparum is governed by transmission efficiency during vector-human contact and mosquito biting preferences. Understanding biting bias in a natural setting can help target interventions to interrupt transmission. In a 15-month cohort in western Kenya, we detected P. falciparum in indoor-resting Anopheles and human blood samples by qPCR and matched mosquito bloodmeals to cohort participants using short-tandem repeat genotyping. Using risk factor analyses and discrete choice models, we assessed mosquito biting behavior with respect to parasite transmission. Biting was highly unequal; 20% of people received 86% of bites. Biting rates were higher on males (biting rate ratio (BRR): 1.68; CI: 1.28–2.19), children 5–15 years (BRR: 1.49; CI: 1.13–1.98), and P. falciparum- infected individuals (BRR: 1.25; CI: 1.01–1.55). In aggregate, P. falciparum -infected school-age (5–15 years) boys accounted for 50% of bites potentially leading to onward transmission and had an entomological inoculation rate 6.4x higher than any other group. Additionally, infectious mosquitoes were nearly 3x more likely than non-infectious mosquitoes to bite P. falciparum -infected individuals (relative risk ratio 2.76, 95% CI 1.65–4.61). Thus, persistent P. falciparum transmission was characterized by disproportionate onward transmission from school-age boys and by the preference of infected mosquitoes to feed upon infected people. Mosquito biting preferences and their impact on malaria transmission are not well understood. Here, the authors report findings from a longitudinal cohort study in Western Kenya which show that males aged 5-15 years tend to be bitten the most, and infectious mosquitoes appear to be more likely to bite infected individuals.

Generation and subsequently accessibility of secondary findings (SF) in diagnostic practice is a subject of debate around the world and particularly in Europe. The French FIND study has been set up to assess patient/parent expectations regarding SF from exome sequencing (ES) and to collect their real-life experience until 1 year after the delivery of results. 340 patients who had ES for undiagnosed developmental disorders were included in this multicenter mixed study (quantitative N  = 340; qualitative N  = 26). Three groups of actionable SF were rendered: predisposition to late-onset actionable diseases; genetic counseling; pharmacogenomics. Participants expressed strong interest in obtaining SF and a high satisfaction level when a SF is reported. The medical actionability of the SF reinforced parents’ sense of taking action for their child and was seen as an opportunity. While we observed no serious psychological concerns, we showed that these results could have psychological consequences, in particular for late-onset actionable diseases SF, within families already dealing with rare diseases. This study shows that participants remain in favor of accessing SF despite the potential psychological, care, and lifestyle impacts, which are difficult to anticipate. The establishment of a management protocol, including the support of a multidisciplinary team, would be necessary if national policy allows the reporting of these data.

There are various simplifying models that describe balance strategies of human walking. In one model it is assumed that ground reaction forces are directed to a point (virtual pivot point) above the center of mass during the whole stride. This was observed in several experimental investigations, but only for the single support phase. It has not yet been concretely considered whether humans use the same stabilization strategy during the double support phase. For analyzing this, nine volunteers walked at self-selected speed while kinetic and kinematic data were measured. We found that in contrast to the single support phase, where the virtual pivot point was significantly above the center of mass, in the double support phase of human walking the ground reaction forces point around the center of mass with a small spread (R2=92.5%). The different heights of the virtual pivot point in the different support phases could be caused by the vertical movement of the center of mass, which has a lower amplitude in the double support phase. This is also reflected in the ground reaction forces, whereby the ratio of the horizontal and vertical ground reaction forces can explain the height of the virtual pivot point. In the double support phase the ratio is shifted in favor of the horizontal component compared to the single support phase, because of a shorter contact time and a delayed braking impulse. Thus, the whole body seems to rotate around the center of mass, which presumably minimizes required energy.

Optical motion capture (OMC) requires participants to wear minimal clothing for precise marker placement and involves physical contact with the examiner. We investigate whether the standard OMC procedure induces psychosocial stress in participants and whether it leads to alterations in their gait patterns. Thirty-nine participants took part in a between-groups gait experiment. The OMC group wore short, tight clothing and 39 markers, while the control group wore everyday clothing without markers. Gait was recorded via sagittal-plane video, and gait features (stride times, variability, ranges of motion) were computed from 2-dimensional pose estimation trajectories. Physiological and psychological state changes were assessed using salivary cortisol and self-report questionnaires at multiple time points. Marker placement led to significantly increased negative affect and decreased positive affect among OMC participants, as well as a noticeable but non-significant cortisol response that varied in intensity across individuals. The negative psychological state did not result in significant gait differences on group level, except for late stance knee flexion during slow walking, which may be attributed to reduced pose estimation accuracy due to differences in clothing between groups. Our study suggests that OMC can be used without unwanted gait alterations due to stress at group level. However, contactless measurements that allow participants to wear clothing could alleviate their perceived discomfort.

Body fluids are constantly replenished with a population of genetically diverse cell-free DNA (cfDNA) fragments, representing a vast reservoir of information reflecting real-time changes in the host and metagenome. As many body fluids can be collected non-invasively in a one-off and serial fashion, this reservoir can be tapped to develop assays for the diagnosis, prognosis, and monitoring of wide-ranging pathologies, such as solid tumors, fetal genetic abnormalities, rejected organ transplants, infections, and potentially many others. The translation of cfDNA research into useful clinical tests is gaining momentum, with recent progress being driven by rapidly evolving preanalytical and analytical procedures, integrated bioinformatics, and machine learning algorithms. Yet, despite these spectacular advances, cfDNA remains a very challenging analyte due to its immense heterogeneity and fluctuation in vivo. It is increasingly recognized that high-fidelity reconstruction of the information stored in cfDNA, and in turn the development of tests that are fit for clinical roll-out, requires a much deeper understanding of both the physico-chemical features of cfDNA and the biological, physiological, lifestyle, and environmental factors that modulate it. This is a daunting task, but with significant upsides. In this review we showed how expanded knowledge on cfDNA biology and faithful reverse-engineering of cfDNA samples promises to (i) augment the sensitivity and specificity of existing cfDNA assays; (ii) expand the repertoire of disease-specific cfDNA markers, thereby leading to the development of increasingly powerful assays; (iii) reshape personal molecular medicine; and (iv) have an unprecedented impact on genetics research.