To determine the effect of quality of sleep (SL) and self-reported health (SRH) on burnout (BO) and whether burnout, in turn, impacts work performance (WP) among employees of the Higher Educational Institutions (HEI's). Data was collected using the survey method using questionnaire items adapted from the literature. The final sample consisted of 138 employees. A two-step procedure was conducted using AMOS by first employing confirmatory factory analysis followed by structural equation modeling. The results supported the hypotheses proposed in the study as SL positively and significantly impacted employee burnout. Similarly, SRH was found to have a significant positive association with BO while BO significantly and negatively affected WP. Employees' work performance reduces with increased burnout which is aggravated due to poor sleep quality and self-reported health; hence, the study provides insightful contribution for managers and workers to focus on improving work performance by reducing burnout.
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http://dx.doi.org/10.5993/AJHB.47.2.1 | DOI Listing |
J Am Chem Soc
January 2025
Institute of Organic Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
The development of stable and tunable polycyclic aromatic compounds (PACs) is crucial for the advancement of organic optoelectronics. Conventional PACs, such as acenes, often suffer from poor stability due to photooxidation and oligomerization, which are linked to their frontier molecular orbital energy levels. To address these limitations, we designed and synthesized a new class of π-expanded indoloindolizines by merging indole and indolizine moieties into a single polycyclic framework.
View Article and Find Full Text PDFHeliyon
January 2025
BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Australia.
Breast-conserving surgery accompanied by adjuvant radiotherapy is the standard of care for patients with early-stage breast cancer. However, re-excision is reported in 20-30 % of cases, largely because of close or involved tumor margins in the specimen. Several intraoperative tumor margin assessment techniques have been proposed to overcome this issue, however, none have been widely adopted.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
The rapid evolution of nanotechnology has catalyzed significant advancements in the design and application of nano-sensors, particularly within the food industry, where ensuring safety and quality is of paramount concern. This review explores the multifaceted role of nano-sensors constructed from diverse nanomaterials in detecting foodborne pathogens and toxins, offering a comprehensive analysis of their operational principles, sensitivity, and specificity. Nano-sensors leverage unique physical and chemical properties at the nanoscale to enhance the detection of microbial contamination, actively contributing to food safety protocols.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Ultrasound Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People's Republic of China.
Objectives: This study aimed to establish standard transesophageal echocardiographic (TEE) measurements of left ventricular (LV) morphology, function, and myocardial work parameters in healthy Beagle dogs using pressure-strain loops (PSL). Additionally, it sought to standardize optimal TEE imaging techniques and explore the potiential application of myocardial work analyis in veterinary medicine.
Methods: Thirty-seven healthy male Beagle dogs were anesthetized, intubated, and mechanically ventilated for TEE examinations.
Heliyon
January 2025
Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.
Neurosignaling is increasingly recognized as a critical factor in cancer progression, where neuronal innervation of primary tumors contributes to the disease's advancement. This study focuses on segmenting individual axons within the prostate tumor microenvironment, which have been challenging to detect and analyze due to their irregular morphologies. We present a novel deep learning-based approach for the automated segmentation of axons, AxonFinder, leveraging a U-Net model with a ResNet-101 encoder, based on a multiplexed imaging approach.
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