This study aimed to identify the capabilities of secondary school teachers - valued aspects of work that are enabled and can be realized - and investigate the effects of these capabilities on three functionings: flourishing at work, organizational citizenship behavior, and intention to leave. A convenience sample of secondary school teachers ( = 144) in the Gauteng province in South Africa participated in the study. The teachers responded to the Capability Set for Work Questionnaire, Flourishing-at-Work Scale - Short Form, Organizational Citizenship Behavior Questionnaire, and Intention to Leave Scale. The results showed that three capabilities were most likely to form part of the capability set of teachers: using knowledge and skills, building and maintaining meaningful relationships at work, and contributing to something valuable. Capabilities least likely to form part of the capability set included having a good income, involvement in important decisions, and developing knowledge and skills. The capability set was a strong predictor of emotional, psychological, and social well-being, and a moderate predictor of organizational citizenship behavior and intention to leave. A capability set for work, rather than single work capabilities, seemed to be critical for the sustainable employability of secondary school teachers.
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http://dx.doi.org/10.3389/fpsyg.2022.842045 | DOI Listing |
Chemphyschem
January 2025
Utah State University, Department of Chemistry and Biochemistry, 0300 Old Main Hill, 84322-0300, Logan, UNITED STATES OF AMERICA.
A halobenzene molecule contains several sites that are capable of acting in an electron-donating capacity within a H-bond. One set of such sites comprise the lone electron pairs of the halogen (X) atoms on the periphery of the ring. The π-electron system above the ring plane can also fulfill this function in many cases.
View Article and Find Full Text PDFAnal Chem
January 2025
State Key Laboratory of Cellular Stress Biology, Institute of Artificial Intelligence, School of Life Sciences, Faculty of Medicine and Life Sciences, National Institute for Data Science in Health and Medicine, XMU-HBN skin biomedical research center, Xiamen University, Xiamen, Fujian 361102, China.
In metabolomic analysis based on liquid chromatography coupled with mass spectrometry, detecting and quantifying intricate objects is a massive job. Current peak picking methods still cause high rates of incorrectly picked peaks to influence the reliability and reproducibility of results. To address these challenges, we developed QuanFormer, a deep learning method based on object detection designed to accurately quantify peak signals.
View Article and Find Full Text PDFJ Clin Microbiol
January 2025
Department of Mycobacteriology, Leprosy Research Center, National Institute of Infectious Diseases, Higashimurayama, Tokyo, Japan.
, a slow-growing nontuberculous mycobacterium, causes Buruli ulcer, a neglected tropical disease. Distinguishing from related species, including , poses challenges with respect to making accurate identifications. In this study, we developed a rapid and simple identification method based on mycobacterial lipid profiles and used matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to analyze the lipid profiles of ( = 35) and ( = 19) isolates.
View Article and Find Full Text PDFAs more powerful high performance computing resources are becoming available, there is a new opportunity to bring the unique capabilities of molecular dynamics (MD) simulations to cell-scale systems. Membranes are ubiquitous within cells and are responsible for a diverse set of essential biological functions, but building atomistic models of cell-scale membranes for MD simulations is immensely challenging because of their vast sizes, complex geometries, and complex compositions. To meet this challenge, we have developed xMAS Builder (E perimentally-Derived embranes of rbitrary hape Builder), which is designed to take experimental lipidomics and structural (e.
View Article and Find Full Text PDFJ Vib Control
January 2025
Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada.
Magnetorheological (MR) fluid (MRF) dampers, serving as fail-safe semi-active devices, exhibit nonlinear hysteresis characteristics, emphasizing the necessity for accurate modeling to formulate effective control strategies in smart systems. This paper introduces a novel stop operator-based Prandtl-Ishlinskii (PI) model, featuring a reduced parameter set (seven), designed to estimate the nonlinear hysteresis properties of a large-scale bypass MRF damper with variable stiffness capabilities under varying applied current. With only seven parameters, the model realizes current, displacement, and rate dependencies.
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