Introduction: In the Fall of 2021, the grading scale for a pharmacotherapy case-based series of recitations in a pharmacy practice course was modified from a letter grade format to a pass/fail format. The aim of this study was to assess how different formats of grading affected pharmacy students' achievement goal orientations based on the 2 × 2 conceptual framework developed by Eliot and Harackiewicz (i.e. performance-approach, performance-avoidance, mastery-approach, mastery-avoidance).
Methods: Second-year pharmacy students who completed recitations in a pass/fail format and third-year students who completed recitations in a letter grade format received a questionnaire containing a Likert instrument (the Achievement Goal Questionnaire-Revised) that was previously validated and designed to evaluate students' achievement goal orientations along four different sub-scales. Baseline characteristics of the two groups were compared, and appropriate statistics were applied to the demographic information and questionnaire results.
Results: Questionnaires were completed by 99 % (n = 268) of pharmacy students (132 second-year students and 136 third-year students). There were higher mean scores for mastery-approach (4.7 v. 4.2; P < .001), mastery-avoidance (3.7 v. 3.4; P = .006), performance-approach (4.3 v. 3.9; P < .001), and performance-avoidance (4.1 v. 3.8; P = .010) for the second-year (pass/fail) students compared with third-year (letter grade) students.
Conclusions: Second-year pharmacy students who took a case-based series of recitations with a pass/fail grading scale had higher mean scores for each of the sub-scales within Eliot and Harackiewicz's 2 × 2 goal orientation framework compared with third-year pharmacy students who took the recitations in a letter grade format. Using the study results along with current literature on goal orientation theory, it may be beneficial to pharmacy students in courses with both pass/fail and letter grade formats for educators to encourage approach goal orientations while discouraging avoidance goal orientations.
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http://dx.doi.org/10.1016/j.cptl.2024.102200 | DOI Listing |
Viruses
December 2024
Wadsworth Center, David Axelrod Institute, New York State Department of Health, Albany, NY 12208, USA.
A historical perspective of more than one hundred years of influenza surveillance in New York State demonstrates the progression from anecdotes and case counts to next-generation sequencing and electronic database management, greatly improving pandemic preparedness and response. Here, we determined if influenza virologic surveillance at the New York State public health laboratory (NYS PHL) tests sufficient specimen numbers within preferred confidence limits to assess situational awareness and detect novel viruses that pose a pandemic risk. To this end, we analyzed retrospective electronic data on laboratory test results for the influenza seasons 1997-1998 to 2021-2022 according to sample sizes recommended in the Influenza Virologic Surveillance Right Size Roadmap issued by the Association of Public Health Laboratories and Centers for Disease Control and Prevention.
View Article and Find Full Text PDFVaccines (Basel)
November 2024
Shanghai Zerun Biotech Co., Ltd., Building 9, 1690 Zhangheng Road, Pudong, Shanghai 201203, China.
Background: Cervical cancer is associated with persistent infection of high-risk human papillomaviruses (HPVs). Prophylactic HPV vaccines have been recommended and have significant efficacy in preventing cervical cancer. Multivalent HPV vaccines have a better preventative effect on HPV-related diseases.
View Article and Find Full Text PDFVaccines (Basel)
November 2024
Laboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.
Tumor vaccine is a promising immunotherapy for solid tumors. Therapeutic tumor vaccines aim at inducing tumor regression, establishing durable antitumor memory, and avoiding non-specific or adverse reactions. However, tumor-induced immune suppression and immune resistance pose challenges to achieving this goal.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical Engineering, Center for Innovative Research on Aging Society (CIRAS), Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chia-Yi 621, Taiwan.
In computer vision, accurately estimating a 3D human skeleton from a single RGB image remains a challenging task. Inspired by the advantages of multi-view approaches, we propose a method of predicting enhanced 2D skeletons (specifically, predicting the joints' relative depths) from multiple virtual viewpoints based on a single real-view image. By fusing these virtual-viewpoint skeletons, we can then estimate the final 3D human skeleton more accurately.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Center for Automotive Research and Sustainable Mobility (CARS@PoliTO), Politecnico di Torino, 10129 Torino, Italy.
The fusion of multiple sensors' data in real-time is a crucial process for autonomous and assisted driving, where high-level controllers need classification of objects in the surroundings and estimation of relative positions. This paper presents an open-source framework to estimate the distance between a vehicle equipped with sensors and different road objects on its path using the fusion of data from cameras, radars, and LiDARs. The target application is an Advanced Driving Assistance System (ADAS) that benefits from the integration of the sensors' attributes to plan the vehicle's speed according to real-time road occupation and distance from obstacles.
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