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https://www.selleckchem.com/products/ly-411575.html The 151 published Innovation Reports had 148 unique corresponding authors, of whom 85 (57%) responded to the survey. Almost all respondents (n = 82; 96%) reported that publishing an Innovation Report promoted their individual career growth. For many corresponding authors, the publication of early ideas in an Innovation Report appeared to be an end point rather than a springboard for further development and innovation, as only 14 (16%) reported publication of a subsequent related study.Reflecting on the successes and limitations of Innovation Reports over the first 5 years, the authors suggest that soliciting input from more stakeholders and being explicit about the goals of this article type would help inform how Innovation Reports should evolve in the future so they can better launch creative thought and spur innovation. Medical students often have preferences regarding the order of their clinical rotations but assigning rotations fairly and efficiently can be challenging. To achieve a solution that optimizes assignments (i.e., maximizes student satisfaction), the authors present a novel application of the Hungarian algorithm, designed at the University of Texas Southwestern Medical Center (UTSW), to assign student schedules. Possible schedules were divided into distinct pathway options with k total number of seats. Each of n students submitted a ranked list of their top 5 pathway choices. An n × k matrix was formed, where the location (i, j) represented the cost associated with student i being placed in seat j. Progressively higher costs were assigned to students receiving less desired pathways. The Hungarian algorithm was then used to find the assignments that minimize total cost. The authors compared the performance of the Hungarian algorithm against 2 alternative algorithms (i.e., the rank and lottery algorithms). To ndergraduate and graduate medical education. Furthermore, by manipulating cost values, additio

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