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Purpose: The medical education community is pursuing reforms addressing unsustainable growth in the number of residency applications per applicant and application costs. Little research has examined the prevalence or contributions of parallel applications (application to residency in multiple specialties) to this growth.
Method: A retrospective analysis of Electronic Residency Application Service data provided by the Association of American Medical Colleges was conducted. The percentage of applicants applying to ≥ 1 specialty, mean number of specialties applied, number of submitted applications, and percentage of applicants to each specialty who were parallel applying were determined. MD, DO, and international (U.S. international medical graduate [IMG] and IMG) applicants were included.
Results: The sample contained 586,246 applicant records from 459,704 unique applicants. The percentage of applicants who parallel applied decreased from 41.3% to 35.4% between 2009 and 2021. DO applicants were the only group for whom the percentage parallel applying increased (30.6% vs 32.1%). IMG (60.4% vs 49.1%) or USIMG applicants (69.6% vs 63.1%) were groups with the greatest percentage of applicants parallel applying each year (2009-2021). The mean number of specialties applied to when parallel applying also decreased from 2.96 in 2009 to 2.79 in 2021, overall. Between 2009 and 2021, mean number of applications increased for all applicant types among both single-specialty applicant and parallel-applying applicants. Among applicants who were single-specialty applying, mean number of applications grew from 38.6 in 2009 to 74.6 in 2021 and from 95.2 to 149.8 for parallel-applying applicants.
Conclusions: All applicant groups experienced decreases in percentages parallel applying except for DO applicants. Parallel application appears to be common and slowly declining, and does not appear to significantly contribute to increasing numbers of applications per candidate. Efforts to control the growth of applications per applicant should continue to focus on applicants' numbers of applications submitted to each specialty.
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http://dx.doi.org/10.1097/ACM.0000000000005825 | DOI Listing |
Rev Esc Enferm USP
September 2025
Universidade Estadual Paulista, Faculdade de Medicina, Botucatu, SP, Brazil.
Objective: To evaluate the effectiveness of intravenous laser irradiation of blood in reducing viral load and increasing LT-CD4+ and LT-CD8+ in people living with HIV/AIDS.
Method: Randomized, controlled, parallel, single-blind clinical trial. Twenty-eight participants were allocated to the intervention (ILIB n = 15) and control (CTRL n = 13) groups.
J Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
View Article and Find Full Text PDFJ Biochem Mol Toxicol
September 2025
Department of Molecular Biology and Genetics, Faculty of Science, Bartin University, Bartin, Turkey.
Schiff bases containing sulfonyl units are important compounds because of their potential biological properties in the therapeutical field. In this study, three novel ligands (L1, L2, and L3) containing the sulfonyl groups, a derivative of Schiff base, were synthesized, and their molecular structures were characterized by FT-IR, H-NMR, C NMR, and elemental analysis results. The antiproliferative activities of these Schiff base ligands were evaluated against human colon cancer (HT-29 and Caco-2) and mouse fibroblast (L929) cells by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method.
View Article and Find Full Text PDFPerspect Behav Sci
September 2025
Psychology Department, University of Florida, Gainesville, FL 32611 USA.
For behavior analysts, social validity should be a standard and evolving component of our own self-evaluation process. Our field has known that for decades, but we have not always been good about implementing such self-evaluations. Recent criticism of our field should be viewed as setting the occasion for self-reflection and improvement of our practices.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
The Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313, Porto, Portugal. Electronic address:
Background: When using semiconductor quantum dots (QDs) for single-analyte sensing, recognition is commonly achieved through interactions with capping ligands attached to the QDs surface. These ligands form an organic layer that provides stability in solution and assures selectivity by binding the target analyte via surface functional groups. However, a common analytical challenge arises in the subsequent stage of the QD-based sensing scheme.
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