Maintaining and promoting teachers' work ability is essential for increasing productivity and preventing early exit from the teaching profession. This study aimed to identify the predictors of work ability among upper-secondary school teachers and examine the mediating role of burnout. A large and diverse group of Czech upper-secondary school teachers was surveyed to address this goal. The sample comprised 531 upper-secondary school teachers (50.0 ± 9.94 years, 19.9 ± 10.62 in the teaching profession, 57.6% females). Relatively greater empirical support was found for the effects of burnout, sense of coherence, work-life balance, and perceived relationships in the school environment on work ability than for the impact of age, homeroom teacher duties, workload, and caring for elderly relatives. Furthermore, burnout served as an important mediator of the relationship between sense of coherence and work ability. Teachers with a higher sense of coherence are thus better able to cope with adverse work circumstances and identify and mobilize internal and external resources to prevent professional exhaustion and the subsequent decline in work ability. The study can guide interventions on the work ability of teachers.
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http://dx.doi.org/10.3390/ijerph17249185 | DOI Listing |
Sci Rep
January 2025
Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India.
Cognitive load stimulates neural activity, essential for understanding the brain's response to stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating cognitive load by extracting, selection, and classifying features from electroencephalogram (EEG) signals. We employed robust local mean decomposition (R-LMD) to decompose EEG data from each channel, recorded over a four-second period, into five modes.
View Article and Find Full Text PDFISA Trans
December 2024
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt. Electronic address:
The paper presents a new sensor-less voltage and frequency control method for a stand-alone doubly-fed induction generator (DFIG) feeding an isolated load. The proposed control approach directly regulates the magnitude and angle of the rotor-flux vector rather than controlling rotor currents or voltages as in classic field oriented control (FOC). To accurately regulate the magnitude and frequency of stator voltage, two separate closed-loop based PI regulators are employed to evaluate the reference signals of the rotor flux vector magnitude and angle, respectively.
View Article and Find Full Text PDFEnviron Pollut
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China; Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address:
Differentiated thyroid cancer (DTC) generally has a favorable prognosis, and radioactive iodine (RAI) therapy is typically used for metastatic DTC that continues to progress and poses life-threatening risks. However, resistance to RAI in metastatic DTC significantly impairs treatment effectiveness. This study aims to identify potential compounds that may influence RAI efficacy.
View Article and Find Full Text PDFAntiviral Res
January 2025
INSERM, Research Center for Respiratory Diseases, UMR 1100, University of Tours, France. Electronic address:
The respiratory tract hosts a diverse microbial community whose composition varies with anatomical location and throughout life. Rothia mucilaginosa, a common commensal of the upper respiratory tract and oral cavity, has recently been recognized for its ability to inhibit bacteria-triggered pro-inflammatory responses. However, its role in modulating the immune response to viral infections such as influenza A virus (IAV) pneumonia, remains unknown.
View Article and Find Full Text PDFJ Biomed Inform
January 2025
Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address:
Motivation: The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective large-scale representations of EHR concepts along with knowledge graphs that empower downstream EHR studies. However, most existing methods require training with patient-level data, limiting their abilities to expand the training with multi-institutional EHR data.
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