Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep clustering of single-cell RNA-seq data faces significant challenges due to extreme sparsity and noise. We present DAGCL (Dynamic Attention-enhanced Graph Embedding with Curriculum Learning), a dynamic graph embedding framework that reframes representation learning as a coarse-to-fine evolutionary process. Unlike conventional static paradigms, DAGCL employs a curriculum-guided scheduling mecha...
Person re-identification aims to match the same individual across non-overlapping camera views. In real-world scenarios, ReID models are expected to continuously learn from newly arriving data while mitigating the catastrophic forgetting problem, namely the loss of previously acquired knowledge, which defines the lifelong ReID task. Existing lifelong ReID methods face limitations in balancing perf...
High-entropy strategy presents a promising approach for enhancing the piezoelectric properties of bismuth layer-structured ferroelectrics, yet the vas...
BACKGROUND: Traditional didactic methods in medical imaging education, predominantly reliant on static images (non-augmented, traditional PACS workflo...
BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, including wound management. Differentiating pressu...
Recent advances in artificial intelligence have produced powerful predictive models for chemical analysis, but model interpretability remains a challe...
Phenylpropanoid flavor compounds (PFCs) are major contributors to the characteristic herbal and anise-like aromas of stewed beef with spices (SBS). Th...
PURPOSE: With the rising prevalence of obesity and metabolic syndrome, there is an increasing need for noninvasive quantification of pancreatic fat as...
BACKGROUND: The increasing incidence of adolescent depression represents a serious public health concern. Despite clear diagnostic criteria, the wide ...
Conventional N-alkylated viologen electrolytes in neutral aqueous organic redox flow batteries (AORFBs) undergo irreversible nucleophilic SN2 dealkyla...
What are the implications of the growing use of artificial intelligence (AI) in recruitment and hiring for organizational inequalities? While advocate...
Three-dimensional (3D) ultrasound vascular imaging (UVI) is essential for visualizing complex vascular structures. Row-column addressed (RCA) arrays, ...
BACKGROUND: Radiology faces an unprecedented workload crisis, creating demand for AI solutions to enhance efficiency and quality. Vision-language mode...
Maintaining the survival and quality of Litopenaeus vannamei (L. vannamei) in household settings proves particularly challenging. This study aimed to ...
BACKGROUND: Effective pain management is a vital aspect of quality nursing care, requiring sound knowledge, assessment skills, clinical judgment, and ...
This commentary delineates the developmental pathway of artificial intelligence (AI) in ultrasound follicular monitoring, highlighting a paradigm shif...
OBJECTIVES: The purpose of this study was to create an operationally useful machine learning model that predicts the number of high-acuity left withou...
Crop diversification has been increasingly suggested as a sustainable approach to mitigate climate change impacts by enhancing soil organic carbon (SO...
The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions ...
OBJECTIVE: Chronic exposure to environmental stressors may result in dysregulation across the body's adaptive stress-response systems, which can be co...