Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The enzymatic degradation of poly(ethylene terephthalate) (PET) offers a sustainable route for plastic recycling but is often hindered by limited enzyme adsorption on hydrophobic surfaces. Inspired by carbohydrate-binding modules (CBMs), which enhance enzyme performance on insoluble substrates, we developed a machine-learning-assisted pipeline to discover PET-binding modules from natural protein a...
OBJECTIVES: We examine how hospital characteristics relate to clinical and operational artificial intelligence (AI) adoption and implementation stages and characterize AI deserts and spatial clustering patterns to highlight place-based AI access gaps among United States (US) hospitals. MATERIALS AND METHODS: We used the 2024 American Hospital Association Annual Survey data from 2720 hospitals with...
Ground-based optical telescopes necessitate prompt and spatially detailed information regarding dome-scale cloud coverage to facilitate target-specifi...
Non-contact injuries in professional football impose significant performance and economic burdens, yet the influence of workload feature representatio...
Accurate day-ahead cooling load forecasting is a time series forecasting problem that is essential for optimizing the scheduling and energy efficiency...
Refractance window drying (RWD) has emerged as a high-efficiency, low-temperature dehydration technology. It enables the production of superior-qualit...
INTRODUCTION: The integration of robots into clinical practice requires careful consideration of their alignment with nursing workflows, patient needs...
Reliable prediction of CO2 injectivity decline is essential for safe geological carbon storage, yet existing machine learning models often provide det...
Citizen science plays an increasingly important role in generating scientific knowledge and supporting environmental and social action. However, its p...
Nurse managers play a pivotal role in health care, serving as their units' chief operational and cultural leader. They are responsible for creating wo...
Waste management is a crucial task due to its direct impact on environmental sustainability, public health, and resource conservation. Rapid urbanizat...
BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...
OBJECTIVE: To map strategies, technologies and management practices reported in the literature that contribute to improving operational efficiency in ...
Flexible fiber capacitive tactile sensors hold promise for wearable human-machine interaction, yet balancing sensitivity with robustness while preserv...
BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapi...
BACKGROUND: The rise of artificial intelligence (AI) is transforming work tasks and social relations within organizations. Work exhaustion is increasi...
Artificial intelligence (AI) is fundamentally reshaping analytical chemistry by enabling automated data interpretation, intelligent method optimizatio...
Hardware realization of brain-inspired vision critically relies on neuromorphic devices that couple sensing, computation, and adaptive learning, yet s...
BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular impact on metabolic dysfunction-associated steatot...
BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...