Staffing & Scheduling

Police emergency dispatch model based on emergency level analysis and traffic planning.

Emergency dispatching and rescue during emergencies have become a hot research topic in the field of transportation planning. Therefore, to address the low efficiency of cross-regional police emergency dispatch, the study carries out relevant exploration on the basis of emergency event level analysis and transportation planning. The emergency rescue demand evaluation system is constructed using th...

Cross-Device Risk Calibration for Surface-Enhanced Raman Spectroscopy-Based Urologic Disease Classification.

Surface-enhanced Raman spectroscopy (SERS) combined with deep learning offers a noninvasive route for molecular screening of urologic diseases. Its broader analytical utility, however, is constrained by two coupled challenges: overconfident predictions near interclass boundaries and cross-device/acquisition-condition distribution shift. We therefore tested whether risk-calibrated patient-level SER...

Monitoring birds interacting with power lines: a systematic review of detection technologies and the persistent gap in transmission line applications.

Bird collisions with transmission lines (TLs) cause significant bird mortality worldwide, yet technological solutions targeting this infrastructure re...

Nonlinear Associations and Spatiotemporal Responses between the Evolution of Blue-Green Space Landscape Patterns and Water-Environment Health in Highly Urbanized Plain River-Network Regions: A Case Study of Suzhou City, China.

Under rapid urbanization, the blue-green space configurations of plain river-network cities are undergoing continuous restructuring, profoundly affect...

Optimization strategies for monoclonal antibody production: advances in simulation and artificial intelligence in bioprocessing.

The rapid growth of monoclonal antibody (mAb) therapies has increased the need for efficient, scalable, and affordable manufacturing processes. Howeve...

Artificial intelligence for the assessment of diastolic function.

PURPOSE OF REVIEW: Assessment of left ventricular diastolic function remains one of the most challenging aspects of echocardiography. Artificial intel...

A Functional-Group Atlas for Decoupling Interfacial Behaviors in Thermal Energy Storage.

Composite phase-change materials offer a scalable route for thermal energy storage, yet breaking the inherent trade-off between energy and power densi...

Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program.

OBJECTIVE: Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better identify and characteriz...

A hybrid convolutional-transformer neural network model for photovoltaic fault detection and localization.

Energy retention from losses is the primary goal of fault detection methodology for photovoltaic (PV) solar systems. A fault detection model should be...

Automatic prediction of patients early discontinuation in oncology clinical trials.

BACKGROUND: Early discontinuation (ED) in clinical trials (CTs) is frequent and deleterious for the patients, the care team, and the study duration. E...

Deep technologies for responsible gambling: A narrative review of policies and implementation strategies.

BACKGROUND AND AIMS: Deep technologies, such as artificial intelligence, blockchain, and behavioural analytics, have emerged as promising tools to add...

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...

Development and Internal Validation of an Automated CT-Based Model for Early Mortality Prediction in Traumatic Brain Injury.

OBJECTIVE: Traumatic brain injury outcomes are strongly influenced by intracranial hemorrhage burden, midline shift, and secondary hypoxic injury. Alt...

Development of a clinical trial knowledge management application for community oncology.

INTRODUCTION: Participation in cancer clinical trials is low in community oncology settings, partly because institution-specific trial information is ...

Everything All at Once: On Choosing an Estimand for Multi-component Environmental Exposures.

Many research questions-particularly those in environmental health-do not involve binary exposures. In environmental epidemiology, this includes multi...

Physics-Informed Neural Networks for Real-Time Muscle-Tendon Force Estimation from Wearable Sensors.

Clinicians currently lack practical tools to quantify muscle-tendon forces outside of research laboratories, limiting load-management decisions during...

Cardiorenal Syndrome: Pathophysiological Crosstalk Between Heart and Kidney.

Cardiorenal syndrome (CRS) describes the bidirectional deterioration of cardiac and renal function, in which dysfunction of one organ induces or perpe...

An efficient Draco lizard optimized stacked Bi-LSTM framework for risk mitigation and resource allocation in project management systems.

Modern project management demands the mitigation of risk factors in conjunction with optimal resource utilization. Traditional approaches to risk miti...

Unraveling the phenomenon of losing humanness at workplace: A review and synthesis of dehumanization research in work context.

Dehumanization in workplace contexts has recently gained attention due to contemporary factors such as the rapid increase in information, communicatio...

Machine Learning-Based Prediction of Planned Home Care Follow-Up Intervals in Older Adults: Evidence From the YASAM Observational Cohort.

OBJECTIVES: To develop and validate machine learning models for predicting clinician-determined follow-up interval categories in home care services am...