Staffing & Scheduling

Show and tell: A critical review on robustness and uncertainty for a more responsible medical AI.

This critical review explores two interrelated trends: the rapid increase in studies on machine lear...

Blended cellulose nitrate/cellulose acetate membranes for enhanced water treatment performance in ultrafiltration.

The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polym...

Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastew...

Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...

Nitrogen-Centered Organic Salts Enable Stable Lithium-Ion Supply for High-Energy-Density Batteries.

Compensating lithium (Li) ions for high-energy-density batteries is essential, as the anodes such as...

Robot-assisted gait training after severe traumatic brain injury for walking ability and social participation: protocol for a feasibility study.

INTRODUCTION: Traumatic brain injury (TBI) is a traumatic head injury that can lead to gait-related ...

Functionalized Nanofinger Enhances Pretrained Language Model Performance for Ultrafast Early Warning of Heart Attacks.

Heart attacks are the leading cause of death worldwide, which means an accurate early warning system...

Orchestrating Penta-Element Interplay in Gradient-Porous Carbons for Advanced Sodium-Ion Hybrid Capacitors.

Sodium-ion hybrid capacitors (SIHCs) offer a cutting-edge synergy between battery-level energy densi...

Artificial Intelligence in Microsurgical Education: A Systematic Review of Its Role in Training Surgeons.

Microsurgery is associated with a steep learning curve that requires extensive training through supe...

KadsuraChem: A Machine Learning-Powered LC-MS Database for Phytochemicals and Its Role in Compound Identification of .

plants, rich in bioactive dibenzocyclooctadienes and triterpenoids, are widely used in traditional ...

Prediction of Retention Time by Combining Multiple Data Sets with Chromatographic Parameter Vectorization and Transfer Learning.

Retention time (RT) can provide orthogonal information to mass spectra, supporting the qualitative i...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhanc...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Understanding Clinicians' Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial.

The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing document...

Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer.

The objective is to create an automated knowledge extraction tool for cancer research that builds hi...

Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

This study presents the development and evaluation of an annotation schema and rule-based natural la...

Automatic and precise identification of volatile organic compounds from gas chromatography in prolonged atmospheric monitoring.

Long-term continuous monitoring of volatile organic compounds (VOCs) is pivotal for climate change r...

Investigating the determinants of performance in machine learning for protein fitness prediction.

Machine learning (ML) has revolutionized protein biology, solving long-standing problems in protein ...

"Letter to the editor: Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care".

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a tra...