Staffing & Scheduling

Computational Insights Into g-C3N4-Based Heterojunctions for Photocatalytic Water Splitting Reaction.

The growing demand for sustainable hydrogen production has intensified research into photocatalytic water splitting driven by solar energy. Graphitic carbon nitride (g-C3N4), a metal-free polymeric semiconductor with visible-light activity, tunable electronic structure, low cost, and environmental compatibility, has emerged as a promising photocatalyst. Nevertheless, pristine g-C3N4 is limited by ...

Physical therapy using digital therapeutics in infants with congenital muscular torticollis: a pilot study.

Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluated the feasibility of the newly developed digital therapeutics (DTx) ACESO-APP, a personalized exercise app with real-time feedback, using skeleton-based motion analysis and artificial intelligence-driven body reconstruction models. Fourteen participa...

Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices.

Artificial synaptic devices based on field-effect transistors (FETs) are essential building blocks for neuromorphic computing systems that emulate the...

Single-Molecule Additive Integrating Na-Ion Reservoir, Cosolvent, and Diluent Functions for Low-Temperature Na-Ion Batteries.

Na-ion batteries hold great promise for low-temperature energy storage, but their performance is severely constrained by Na-ion loss, electrolyte free...

Nanoassembled SERS Sensing for Complex Biological Systems: From Hotspot Engineering to Interface Regulation.

ConspectusSurface-enhanced Raman scattering (SERS) has evolved over the past five decades into a powerful vibrational spectroscopic technique capable ...

Children and adolescents' views on artificial intelligence in pediatric healthcare: a qualitative focus group study.

BACKGROUND: The increased use of artificial intelligence (AI) in healthcare, including pediatrics, offers significant opportunities for improving qual...

CSAKD: Determining Absolute Ligand Affinities From 19F NMR Chemical Shift Anisotropy.

Small-molecule drug discovery typically begins with the screening of compound libraries to identify initial hits, which are subsequently optimized int...

Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.

Bioinspired neuromorphic and in-memory computing requires devices that store and process information through ionic dynamics analogous to biological sy...

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...

Comparing and assessing the thermophysical and structural predictions of an Empirical and a Machine-learning interatomic potentials on liquid (U,Zr).

Liquid uranium-zirconium (U,Zr) mixtures play a crucial role in the context of nuclear accident scenarios, particularly in the early stages of Pressur...

Multifunctional Bioengineered Scaffolds and Adjunct Therapeutic Strategies for Diabetic Foot Ulcers.

Diabetic foot ulcers (DFUs) are chronic, non-healing wounds that affect up to 34% of diabetic patients. DFUs are complicated by infection in nearly 60...

DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening.

AIMS: To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adap...

Rethinking the use of deep learning methods for photovoltaic power forecasting.

Accurate photovoltaic power forecasting is critical for grid stability, but remains challenged by weather uncertainties and difficulty integrating his...

Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques.

Accurate timing prediction of surgery is essential for efficient operating room scheduling and ensuring patient care. This study proposes a two-layere...

Interpretable and causal machine learning unveil novel insights of PFAS effects on aquatic microalgal activity: key driving features, multidimensional interactions, nonlinear microalgal response patterns and species-dependent structural effects.

Widespread distribution of per- and polyfluoroalkyl substances (PFAS) arouses ongoing concern on their eco-risks. As crucial aquatic primary producers...

Mapping E-Cigarette Content on Social Media: A Scoping Review of Methods, AI Applications, and Promotional Strategies.

E-cigarette narratives on social media are rapidly evolving alongside the rise of short-form video and advances in artificial intelligence (AI) that e...

Large language models for optimizing clinical trial recruitment in ICUs: application to ventilator-induced diaphragm dysfunction.

BACKGROUND: Ventilator-induced diaphragm dysfunction (VIDD) is a frequent and under-recognized consequence of prolonged mechanical ventilation in inte...

Medical Scribe and Ambient Artificial Intelligence Impact on Emergency Physician Documentation Burden and Clinical Productivity.

STUDY OBJECTIVE: Emergency physicians experience substantial documentation burden, contributing to physician burnout. Human scribes reduce documentati...

From Spectra to Local Networks: Evaluating MS2 Similarity Metrics.

MS2 spectral similarity is fundamental to interpreting LC-HRMS-NTA data. Beyond the commonly used cosine similarity, a wide range of alternative metri...

An AI-Driven H5P Training for Epilepsy Emergency Management Preparedness in Dental Education.

BACKGROUND: Deficiencies in knowledge and skills related to the management of medical emergencies in dental settings can adversely affect the clinical...