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Enhancing Real-Time Patient Monitoring in Intensive Care Units with Deep Learning and the Internet of Things.
Big Data
January 2025
School of Nursing, Shao Yang University, Shaoyang, China.
The demand for intensive care units (ICUs) is steadily increasing, yet there is a relative shortage of medical staff to meet this need. Intensive care work is inherently heavy and stressful, highlighting the importance of optimizing these units' working conditions and processes. Such optimization is crucial for enhancing work efficiency and elevating the level of diagnosis and treatment provided in ICUs.
View Article and Find Full Text PDFEmotional Intelligence and Job Satisfaction Among Nephrology Nurses Working in Acute and Chronic Hemodialysis Settings.
Nephrol Nurs J
January 2025
Director, the Marian K. Shaughnessy Nurse Leadership Academy.
Nephrology nurses working in hemodialysis units face unique challenges managing multiple patients - an experience often contributing to higher levels of burnout and stress, and potentially lower job satisfaction and retention rates, exacerbating the existing nursing shortage in dialysis settings. Targeted strategies are essential to improve job satisfaction. In this study, we explored the relationship between emotional intelligence and job satisfaction among nephrology nurses working in acute and chronic hemodialysis settings.
View Article and Find Full Text PDFState of Health Estimation and Battery Management: A Review of Health Indicators, Models and Machine Learning.
Materials (Basel)
January 2025
Power Battery & System Research Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Lithium-ion batteries are a key technology for addressing energy shortages and environmental pollution. Assessing their health is crucial for extending battery life. When estimating health status, it is often necessary to select a representative characteristic quantity known as a health indicator.
View Article and Find Full Text PDFPredicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework.
Sci Rep
December 2024
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
Dairy product requirement and the demand-supply gap of milk in Ethiopia have been increasing at an alarming rate due to various factors such as shortage of animal's feeds, feed staffs, feed costs, and poor genetic merits of the local breeds of the country. This problem can be lessened by selecting best breed and modern animal breeding facilities, which require technologies like big data analysis and machine learning. In this study, a prediction model that can predict age at first calving of weaned calves based on their pre-weaning and weaning parameters, including dam's parity number, season of calving, birth weight, pre-weaning health status, pre-weaning average daily weight gain (ADG), weaning age and weaning weight is developed.
View Article and Find Full Text PDFInterpersonal counselling for adolescent depression delivered by youth mental health workers without core professional training: the ICALM feasibility RCT.
Health Soc Care Deliv Res
December 2024
School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Background: As milder cases of adolescent depression do not meet treatment thresholds for specialist mental health services, young people often receive support from non-qualified professionals in third-sector/voluntary agencies. Early psychological interventions to meet growing demand with limited resources are crucial.
Objectives: The study aimed to explore the effectiveness and cost effectiveness of interpersonal counselling for adolescents by (1) assessing the feasibility and acceptability of trial procedures; (2) exploring the delivery of, and differences between, interpersonal counselling for adolescents and treatment as usual; (3) evaluating the extent of contamination of the control arm and if it should be mitigated against in a future trial; and (4) investigating whether the interval estimate of benefit of interpersonal counselling for adolescents over treatment as usual in depression post treatment includes a clinically significant effect.
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