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Within medical specialties, surgical disciplines disproportionately and routinely demonstrate the greatest underrepresentation of women and individuals from racial/ethnic minority groups. Understanding the role that diversity plays in surgical resident training may identify strategies that foster resident resiliency, optimize surgical training, and improve patient outcomes.
To examine the implication of gender and visible minority (VM [ie, nonaboriginal people who are not White individuals]) status for resiliency and training experiences of general surgery residents in Canada.
In this survey study, a 129-item questionnaire was emailed from May 2018 to July 2018 to all residents enrolled in all Canadian general surgery training programs during the 2017-2018 training year. Survey responses were extracted and categorized into 5 major themes. The survey was designed by the Resident Committee and reviewed by the Governing Board of the Canadian Association of General Surgeons. French and English versions of t of their expertise because of their race/ethnicity (9 of 63 [14.3%] vs 1 of 147 [0.7%]; P < .001).
In this study, female sex and VM status appeared to be associated with adverse implications for the training experience of general surgery residents. These findings suggest that new strategies focused on the intersectionality of gender and race/ethnicity are needed to improve the training experience of at-risk residents.
In this study, female sex and VM status appeared to be associated with adverse implications for the training experience of general surgery residents. These findings suggest that new strategies focused on the intersectionality of gender and race/ethnicity are needed to improve the training experience of at-risk residents.
High-resolution microbial strain typing is essential for various clinical purposes, including disease outbreak investigation, tracking of microbial transmission events, and epidemiological surveillance of bacterial infections. The widely used approach for multilocus sequence typing that is based on the core genome, cgMLST, has the advantage of a high level of typeability and maximal discriminatory power. Yet, the transition from a 7 loci based scheme to cgMLST involves several challenges, that include the need by some users to maintain backward compatibility, growing difficulties in the day-to-day communication within the microbiology community with respect to nomenclature and ontology, issues with typeability, especially if a more stringent approach to loci presence is employed, and computational requirements concerning laboratory data management and sharing with end-users. ON-01910 in vivo Hence, methods for optimizing cgMLST schemes through careful reduction of the number of loci are expected to be beneficial for practical needs in different settings.
We present a new machine-learning-based methodology, minMLST, for minimizing the number of genes in cgMLST schemes by identifying subsets of informative genes and analyzing the trade-off between gene reduction and typing performance. The results achieved with minMLST over eight bacterial species show that despite the reduction in the number of genes up to a factor of 10, the typing performance remains very high and significant with an Adjusted Rand Index that ranges between 0.4 and 0.93 in different species and a p-value < 10-3. The identification of such optimized MLST schemes for bacterial strain typing is expected to improve the implementation of cgMLST by improving inter-laboratory agreement and communication.
The python package minMLST is available at https//pypi.org/project/minmlst/ and supported on Linux and Windows.
Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.
Differences in medical school experiences may affect how prepared residents feel themselves to be as they enter general surgery residency and may contribute to resident burnout.
To assess preparedness for surgical residency, to identify factors associated with preparedness, to examine the association between preparedness and burnout, and to explore resident and faculty perspectives on resident preparedness.
This cross-sectional study used convergent mixed-methods analysis of data from a survey of US general surgery residents delivered at the time of the 2017 American Board of Surgery In-Training Examination (January 26 to 31, 2017) in conjunction with qualitative interviews of residents and program directors conducted as part of the Flexibility in Duty Hour Requirements for Surgical Trainees (FIRST) trial. A total of 262 Accreditation Council for Graduate Medical Education-approved US general surgery residency programs participated. Survey data were collected from 3693 postgraduate year (PGY) 1 and PGY2in lower rates of subsequent burnout.
In this cross-sectional study, the perception of feeling unprepared was associated with inadequate exposure to resident responsibilities while in medical school. These findings suggest that effective preparation of medical students for residency may result in lower rates of subsequent burnout.We report unambiguous crystallographic evidence for the Russian-doll-type metallofullerene Sc4C2@Ih-C80. 45Sc NMR further demonstrates the tetrahedron arrangement of the Sc4C2 cluster. Moreover, the electrochemical test reveals the stable oxidation state of Sc4C2@C80. Hence, the Sc4C2@C80 cation radical was studied by electron spin resonance spectroscopy. These results provide better understanding for the previously less-explored [email protected], the newly emerging lead-halide perovskites have received tremendous attention in the photodetection field because of their intrinsic large light absorption and high well-balanced carrier transport characteristics. Unfortunately, the issue of instability and the existence of toxic lead cations have greatly restricted their practical applications and future commercialization. Furthermore, the previous studies on perovskite photodetectors mainly operate in visible and near-infrared light region, and there are practically no relevant reports aimed at the deep-ultraviolet (DUV) region. In this study, an air-stable and DUV-sensitive photoconductive detector was demonstrated with a solution-processed ternary copper halides Cs3Cu2I5 thin films as the light absorber. The proposed photodetector is very sensitive to wavelengths of light below 320 nm and unresponsive to the visible light. Because of the high material integrity and large surface coverage of the Cs3Cu2I5 thin films, the detector presents an outstanding photodetection performance with a photoresponsivity of ∼17.
Website: https://www.selleckchem.com/products/ON-01910.html
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