Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Coastal wetlands are key repositories and pathways for microplastics (MPs), a role modulated by vegetation. The global spread of the nonnative cordgrass Spartina alterniflora is thus likely to alter MP deposition and fate, yet its effects on MP accumulation and related ecological risks are not well quantified. Integrating field surveys along an 18,000-km latitudinal transect (∼20°) of China's coas...
Multimodal cross-city semantic segmentation aims to adapt a network trained on multiple labeled source domains (MSDs) from one city to multiple unlabeled target domains (MTDs) in another city, where the multiple domains refer to different sensor modalities. However, remote sensing data from different sensors increases the extent of domain shift in the fused domain space, making feature alignment m...
IMPORTANCE: Hospitals are increasingly experiencing challenges with variable and unpredictable inpatient loads, including days with excessively high a...
Deep learning has demonstrated remarkable generalization capability with independent and identically distributed (i.i.d.) training and test data, howe...
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. The recent success...
AIM: To examine how nurses' acceptance of artificial intelligence influences job crafting over time and to explore the longitudinal mediating role of ...
BACKGROUND: Clinical trials are an important part of evidence generation in medicine but remain burdened by escalating costs, inefficiencies and manua...
Lithium halide solid electrolytes have garnered significant attention owing to their high ionic conductivity and positive electrode compatibility. How...
Online recruitment and data collection in qualitative research grew significantly during the COVID-19 pandemic, revealing a host of benefits including...
BackgroundHigh-risk industries such as construction, mining, and oil and gas consistently face significant safety challenges due to inherently hazardo...
The rapid evolution of modern technology is propelling artificial intelligence into a transformative phase, where visual information processing has be...
Rapid advancements in artificial intelligence have magnified the inherent bottlenecks and energy inefficiencies of conventional von Neumann architectu...
Edge-cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-deman...
This paper proposes an innovative Multi-Agent Continual Reinforcement Learning (MACRL) framework to address the challenges of continual learning in dy...
Mechanically tunable biomaterials play a pivotal role in advanced in vitro modeling platforms because they can be modulated to mimic targeted extracel...
BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting research and quality assurance. Although artificial i...
For decades, psychiatric neuroimaging has searched for biomarkers of depression and other disorders, but they remain elusive in clinical practice. Whi...
PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an international reporting guideline for transparent an...
BACKGROUND: Patients often struggle to understand standard hospital discharge letters, increasing the risk of medication errors and misunderstandings....
INTRODUCTION: Digital transformation has reshaped dental education over the past decade, driving a shift from traditional, instructor-centred teaching...