The present study assessed the motivation level of nurses working in 3 highly decorated tertiary-level government hospitals of India and also underpins the factors attributing to motivation levels. A sequential mixed-method design was used in this study wherein 400 nurses working in 5 units of nursing care in the hospitals were enrolled based upon proportionate random stratified sampling techniques. A self-administered questionnaire with Likert scale was developed based upon scale used by Mbindyo et al. The attributes of motivation were then categorized into external and internal attributes. For the qualitative component, participants with varied responses in quantitative data were selected and interviewed. Overall mean motivation score of the nursing staff was found 3.57 ± 0.93, which was higher for extrinsic motivational attributes (3.67 ± 0.88) as compared with intrinsic attributes (3.47 ± 0.98). The intrinsic motivational attribute of organizational commitment was rated highest followed by general motivation, conscientiousness, and self-efficacy. Personal issues, timeliness, and burnout were prime discouraging attributes among study participants. Sociodemographic characteristics and work profile characteristics showed significant relationship with the attributes of motivation. This study underscores the significance of different attributes of motivation which needs to be considered while framing administrative strategies and policy guidelines by authorities.
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http://dx.doi.org/10.1002/hpm.2526 | DOI Listing |
Heliyon
January 2025
College of Since and Art, Department of Mathematics, King Khalid University, Mahayil, Saudi Arabia.
New developments in the field of chemical graph theory have made it easier to comprehend how chemical structures relate to the graphs that underlie them on a more profound level using the ideas of classical graph theory. Chemical graphs can be effectively probed with the help of quantitative structure-property relationship (QSPR) analysis. In order to statistically correlate physical attributes.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Faculty of Mechanical Engineering, Technical University of Liberec, 461 17 Liberec, Czech Republic.
The objective of the present work was to prepare hybrid epoxy composites with improved mechanical and thermal properties. The simultaneous use of two different modifiers in an epoxy resin was motivated by the expected occurrence of synergistic effects on the performance properties of the matrix. Such a hybrid composite can be used in more severe conditions and/or in broader application areas.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100811, China.
While deep learning techniques have been extensively employed in malware detection, there is a notable challenge in effectively embedding malware features. Current neural network methods primarily capture superficial characteristics, lacking in-depth semantic exploration of functions and failing to preserve structural information at the file level. Motivated by the aforementioned challenges, this paper introduces MalHAPGNN, a novel framework for malware detection that leverages a hierarchical attention pooling graph neural network based on enhanced call graphs.
View Article and Find Full Text PDFBMJ Open
January 2025
Health Economics and Epidemiology Research Office, Wits Health Consortium, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
Objective: To study the behavioural factors associated with sustained cigarette smoking cessation, and those associated with a current smoker attempting to quit, among current and former cigarette smokers living in low-income South African communities.
Setting: Three low-income areas in South Africa.
Design: In-person surveys with structured questions that asked respondents about their cigarette smoking and quitting behaviour, sociodemographic information and behavioural attributes.
Biol Psychiatry
January 2025
Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, TX, United States. Electronic address:
Background: Innovative treatments for paranoia, which significantly impairs social functioning in schizophrenia (SCZ), are urgently needed. The pathophysiology of paranoia implicates the amygdala-prefrontal (PFC) circuits; thus, this study systematically investigated whether transcranial direct current stimulation (tDCS) to the ventrolateral PFC can attenuate paranoia and improve social functioning in SCZ.
Methods: A double-blind, within-subjects, crossover design was used to compare active vs.
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