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This study aimed to assess the relationship between surgeons' leadership style and team behavior in the hybrid operating room through video coding. Secondly, possible fluctuations in leadership styles and team behavior during operative phases were studied.Leadership is recognized as a key component to successful team functioning in high-risk industries. The 'full range of leadership' theory is commonly used to evaluate leadership, marking transformational, transactional and passive. Few studies have examined the effects of these leadership styles on team behavior in surgery and/or their fluctuations during surgery.A single-center study included patients planned for routine endovascular procedures. A medical data capture system was used to allow post-hoc video coding through Behavior Anchored Rating Scales. Multilevel statistical analysis was performed to assess possible correlations between leadership style and three team behavior indicators (speaking up, knowledge sharing, collaboration) on an operative phase level.Twenty-two cases were analyzed (47 hours recording). Transformational leadership is positively related to the extent to which team members work together (γ=0.20, P0.001), share knowledge (γ=0.45, P0.001) and speak up (γ=0.64, P0.001). Passive leadership is significantly positively correlated with speaking up (γ=0.29, P=0.004). Leadership style and team behavior clearly fluctuate during a procedure, with similar patterns across different types of endovascular procedures.Consistent with other professional fields, surgeons' transformational leadership enhances team behavior, especially during the most complex operative phases. This suggests that encouraging surgeons to learn and actively implement a transformational leadership style is meaningful to enhance patient safety and team performance.

We explore the parameter space for the contribution to Callisto's H corona observed by the Hubble Space Telescope (Roth et al. 2017a) from sublimated H2O and radiolytically produced H2 using the Direct Simulation Monte Carlo (DSMC) method. The spatial morphology of this corona produced via photo- and magnetospheric electron impact-induced dissociation is described by tracking the motion of and simulating collisions between the hot H atoms and thermal molecules including a near-surface O2 component. Our results indicate that sublimated H2O produced from the surface ice, whether assumed to be intimately mixed with or distinctly segregated from the dark non-ice or ice-poor regolith, cannot explain the observed structure of the H corona. On the other hand, a global H2 component can reproduced the observation, and is also capable of producing the enhanced electron densities observed at high altitudes by Galileo's plasma-wave instrument (Gurnett et al., 1997, 2000), providing the first evidence of H2 in Callisto's atmosphere. The range of H2 surface densities explored, under a variety of conditions, that are consistent with these observations is ~(0.4-1)x10^8 cm^-3. The simulated H2 escape rates and estimated lifetimes suggest that Callisto has a neutral H2 torus. We also place a rough upper limit on the peak H2O number density (

More than 30 types of amyloids are linked to close to 50 diseases in humans, the most prominent being Alzheimer’s disease (AD). AD is brain-related local amyloidosis, while another amyloidosis, such as AA amyloidosis, tends to be more systemic. Therefore, we need to know more about the biological entities’ influencing these amyloidosis processes. However, there is currently no support system developed specifically to handle this extraordinarily complex and demanding task. To acquire a systematic view of amyloidosis and how this may be relevant to the brain and other organs, we needed a means to explore "amyloid network systems" that may underly processes that leads to an amyloid-related disease. In this regard, we developed the DES-Amyloidoses knowledgebase (KB) to obtain fast and relevant information regarding the biological network related to amyloid proteins/peptides and amyloid-related diseases. This KB contains information obtained through text and data mining of available scientific literature and other public repositories. The information compiled into the DES-Amyloidoses system based on 19 topic-specific dictionaries resulted in 796,409 associations between terms from these dictionaries. Users can explore this information through various options, including enriched concepts, enriched pairs, and semantic similarity. We show the usefulness of the KB using an example focused on inflammasome-amyloid associations. To our knowledge, this is the only KB dedicated to human amyloid-related diseases derived primarily through literature text mining and complemented by data mining that provides a novel way of exploring information relevant to amyloidoses.