PubMed · 16265826
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Christopher S Frings. 2005. Addressing management issues.. https://pubmed.ncbi.nlm.nih.gov/16265826/
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OBJECTIVE: To determine neurology training opportunities available to medical students and to define factors that influence program choice. METHODS: All neurology residency program directors and a random sample of residents were surveyed. Resident questions related to application, interview, and training experience. Directors' questions focused on ways their department generated interest in clinical neurosciences. RESULTS: Medical schools introduce students to clinical neurology primarily through required clerkships. Contact time averages less than 4 weeks and emphasizes inpatient encounters. Preceptorships with neurology faculty do not exist at almost 40% of schools and only 14% have neuroscience tracks. Nearly all residency applicants matched their first or second choice. The majority declined at least one interview and 39% failed to rank at least one site they visited. When choosing where to apply, the programs' reputation and geographic considerations were paramount. When making a rank list, interactions with faculty and residents at interview were most important. Residents generally reported satisfaction with their programs and attribute morale to supportive relationships with faculty and residents. CONCLUSIONS: Neurology programs may be able to enhance students' impression of neurology through changes in their clinical experience and development of venues for more meaningful relationships with faculty. Attention to the residents' personal needs may increase the likelihood of matching the best available candidates and ensuring their satisfaction.
An automatic data-collection system has been implemented and installed on seven insertion-device beamlines and a bending-magnet beamline at the ESRF (European Synchrotron Radiation Facility) as part of the SPINE (Structural Proteomics In Europe) development of an automated structure-determination pipeline. The system allows remote interaction with beamline-control systems and automatic sample mounting, alignment, characterization, data collection and processing. Reports of all actions taken are available for inspection via database modules and web services.
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