Staffing & Scheduling

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study.

BACKGROUND: Clinical guidelines recommend a stepped-care strategy for patients with hip and knee osteoarthritis that begins with nonoperative approaches, including education, pain medication, and self-care. However, the implementation of stepped-care remains limited. Digital self-management interventions have the potential to support patients in applying lifestyle advice and self-care strategies, ...

A systematic review of machine learning approaches for phonocardiogram classification.

Recent advances in machine learning (ML) have accelerated automated analysis of phonocardiogram (PCG) signals, yet prior surveys often narrow their scope (e.g. omitting segmentation, focusing only on classical ML or overlooking recent deep learning [DL] trends) and provide limited methodological transparency. We present a comprehensive, Preferred Reporting Items for Systematic reviews and Meta-Ana...

Establishment and validation of intelligent review rules for blood cell analysis based on the gradient boosting decision tree algorithm.

OBJECTIVE: To develop artificial intelligence (AI)-based intelligent review rules to accurately screen samples that require retests or blood smear mic...

Machine learning-based modeling of pharmaceutical sorption in soils: Integrating conformal prediction and Shapley additive explanations analysis for robust risk assessment.

Pharmaceuticals are emerging soil contaminants introduced through wastewater effluents, biosolids application, and reclaimed-water irrigation. Because...

Machine learning prediction of customer satisfaction in fitness centres.

Customer satisfaction in fitness centres is critical for fostering loyalty, higher spending, cross-buying, and positive recommendations. This study se...

Learning-based orchestration for low-latency AI deployment in hybrid cloud-edge platforms.

The rapid growth of AI-driven applications in hybrid cloud-edge environments poses substantial challenges to ensuring low latency, high throughput, an...

Quality metrics of synthetic radiomics data do not predict improvement under simulated external validation: an ecological fallacy across 50 public datasets.

OBJECTIVES: To investigate whether established synthetic data quality metrics predict when deep generative augmentation improves performance under sim...

Competitive secondary formation and evolving sources drive the stage-dependent evolution of PM2.5-bound PAHs and their derivatives associated health risks.

Polycyclic aromatic hydrocarbons (PAHs) and their oxygenated (OPAHs) and nitrated (NPAHs) derivatives are critical carcinogenic constituents of PM2.5,...

Gene delivery for cerebral neurodegenerative disorders - current advancements and limitations.

Gene delivery for neurodegenerative cerebral disorders faces formidable structural and practical challenges. The blood-brain, blood- cerebrospinal flu...

Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review.

PURPOSE: To review the current literature evaluating AI and advanced technologies for intraoperative cartilage management. METHODS: A comprehensive se...

From intuition to optimization: a review of inverse design applied to optical nanotweezers.

Optical nanotweezers, which integrate nanophotonic structures such as plasmonic antennas, dielectric resonators, and metasurfaces, have emerged as pow...

Cochrane Evaluation of (Semi-) Automated Review Methods (CESAR): Protocol for an adaptive platform study within reviews.

BACKGROUND: Artificial intelligence (AI) has the potential to improve the efficiency of evidence synthesis and reduce human error. However, robust met...

Adaptive competitive balance regulation in professional sports leagues via graph attention networks and proximal policy optimization.

Sustaining competitive balance underpins both the commercial vitality and fan engagement of professional sports leagues, yet most regulatory regimes s...

Integrative multi-modal feature extraction from ECG signals using FusionHeartNet for robust heart disease prediction.

Electrocardiogram (ECG)-based diagnostics are pivotal in early cardiac disorder detection, yet existing models often fail to integrate temporal, spect...

Metagenomic analysis of water column samples collected from Green Canyon 233 prior to the Deepwater Horizon incident.

UNLABELLED: The Gulf of Mexico/Gulf of America provides ecosystem services derived from marine biodiversity and oil and gas resources. Threats posed b...

A recyclable, mechanically robust, and anti-freezing chitosan/polyvinyl alcohol/polyaniline conductive hydrogel for multifunctional sensing application.

Conductive hydrogels have demonstrated fascinating application potential in flexible electronics. However, conductive hydrogels often exhibit poor mec...

AMI-SSS01 portable phonocardiographic examination with AI-assisted assessment for detecting heart failure exacerbations in home-based medical care in Japanese primary care clinics: a study protocol for a randomised controlled feasibility trial.

INTRODUCTION: The global prevalence of heart failure continues to increase, particularly in ageing populations. Many older patients receiving home-bas...

Wearable sensor technology and machine learning for anterior cruciate ligament injury diagnosis: an exploratory feasibility study.

OBJECTIVES: To evaluate the feasibility of using wearable inertial measurement units (IMUs; small body-worn sensors that capture linear acceleration a...

Artificial intelligence for energy-efficient computation offloading in WPT-enabled industrial internet of things.

Integrating artificial intelligence (AI) applications in resource-constrained Internet of Things (IoT) systems with intelligent edge computing and Wir...

Simulated tears of antero-posterior rotator cuff force-couple and reduced glenoid concavity decrease anterior glenohumeral stability: a robot-assisted biomechanical analysis of a load and shift sequence.

BACKROUND: The glenoid concavity and the compression applied by the rotator cuff (RC) are essential for glenohumeral stability (GHS). This study aimed...