We compared results from two preference assessments with data on extended performance of vocational tasks by 4 participants with developmental disabilities. All participants engaged in one task exclusively when seven tasks were available concurrently during a 5-min multiple-stimulus assessment. By contrast, all participants exhibited high levels of engagement in most tasks when the tasks were presented singly for 5 min, and these data showed a high degree of correspondence with those obtained during extended (60-min) vocational assessments.
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http://dx.doi.org/10.1901/jaba.2002.35-287 | DOI Listing |
Arch Womens Ment Health
January 2025
Institute of Vocational Education, Tongji University, Shanghai, China.
Purpose: The purpose of this study is to investigate the impact of the employment situation on the anxiety levels and research self-efficacy of graduate students, with a particular focus on female graduate students. The study aims to understand how the use of AIGC tools, which has become more frequent among those with lower research self-efficacy, affects anxiety and research resilience. Additionally, the research explores the role of the mentoring relationship in influencing the psychological and academic experiences of female graduate students.
View Article and Find Full Text PDFCyberpsychol Behav Soc Netw
January 2025
Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA.
With the rapid advance of technology, human interactions with virtual avatars in simulated social environments are becoming increasingly common. The aim of the current study was to examine users' perception of social traits and emotions of "neutral," expressionless avatars using an open-source collection. These avatars represented different ethnicities, genders, and occupations via visual features including skin tone, facial structure, and apparel.
View Article and Find Full Text PDFPLoS One
January 2025
School of Physical Education, Jinjiang College, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and positions of the athletes, sports equipment, field boundaries and other targets in the sports scene. However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. Based on this, we propose for the first time a supervised object detection method for scenarios in the field of motion management.
View Article and Find Full Text PDFPLoS One
January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
View Article and Find Full Text PDFAm J Pharm Educ
November 2024
University of Maryland School of Pharmacy, Baltimore, MD, USA.
Objective: This study examined the alignment between and changes within the tasks performed by pharmacists and skills sought by pharmacist employers from 2012 to 2022.
Methods: The United States Department of Labor's Occupational Information Network (O*NET) surveys a random sample of employees in targeted occupations every 5 years and provides a publicly available database allowing exploration of the frequency with which essential tasks are performed and perceived relevance and importance. Lightcast (formerly Burning Glass) provides labor market analytics of job advertisements; cross-sectional and longitudinal data can be filtered according to occupation, industry, location, and area of specialty.
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