Staffing & Scheduling

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In China, most PrEP users purchase their medication online, making it challenging to monitor and support adherence effectively. OBJECTIVE: This protocol aims to describe a digital intervention developed to monitor and improve the medication adherence of...

OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs.

Urban EV uptake is raising feeder peaks and energy costs in city networks. We present an AI framework integrated with the open charge point protocol (OCPP), a standard communication protocol for EV charging systems that combines short-horizon demand forecasting with tariff-aware and fairness-aware scheduling and runtime anomaly detection from charger telemetry. Decisions are encoded with OCPP 1.6 ...

Development and external validation of a lightweight, explainable clinical decision support system for personalized perioperative risk stratification using electronic health records.

Late-preoperative risk stratification after final surgical scheduling may support perioperative risk communication, monitoring escalation, and resourc...

Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.

The rapid expansion of urban air mobility operations demands adaptive airspace management approaches that transcend traditional static sectorization. ...

Power load forecasting combining deep learning models and improved CLPO algorithm.

The accuracy of power load forecasting directly affects the stable operation of the power system and energy optimization configuration. In response to...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

Dominance, drivers and thresholds of DEN, ANA, and DNRA quantified using a global dataset of cross-ecosystems and machine-learning.

Nitrogen retention and loss in the critical zone are regulated by denitrification (DEN), anaerobic ammonium oxidation (ANA) and dissimilatory nitrate ...

Reducing catastrophic forgetting in CNNs for plant stress classification using continual learning.

Plants face a range of biotic and abiotic stresses that reduce yield, and in agricultural countries like Bangladesh, manual detection of these stresse...

Using culturally responsive and sustaining course design to increase retention of underrepresented STEM undergraduates.

Undergraduate science courses are in urgent need of increased retention and recruitment of underrepresented minority (URM) college students. There is ...

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.

BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...

A Physics-Informed Deep Learning Framework for Estimating Muscle Activation Patterns Following Achilles Tendon Repair.

Accurate soleus (SOL) activation assessment is essential for Achilles tendon rupture (ATR) recovery, yet direct measurement remains a clinical challen...

Evaluating Molecular Representations for Predicting Cyclodextrin-PFAS Binding Energy with Machine Learning: Domain Transfer and Data Limitations.

Per- and polyfluoroalkyl substances (PFAS) persist in water systems and resist conventional removal methods such as activated carbon, which shows redu...

Multidrug resistance in cancer: current understandings and future perspective.

Multidrug resistance (MDR) remains the core clinical barrier limiting the achievement of durable and effective treatment for various tumors. With the ...

Deep learning in acute ischemic stroke imaging: a systematic review of CT- and MRI-based segmentation, triage, and prognostic modeling.

BACKGROUND: Acute ischemic stroke is a time-critical neurological emergency in which imaging directly influences diagnosis, treatment eligibility, tis...

Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study.

BACKGROUND: Most US health systems operate on a local or regional scale and face substantial financial and staffing pressures, which are intensified b...

Clinical applications of digital twin technology in In Vitro Fertilisation.

BACKGROUND: Digital twin technology, originating from aerospace and manufacturing industries, has emerged as a transformative tool in healthcare. In v...

From Assistance to Dependence: The Cognitive Cost of Artificial Intelligence in Education.

BACKGROUND: The integration of Artificial Intelligence (AI) in education is reshaping how students interact with academic content, offering personaliz...

Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance.

Personal health large language models (PH-LLMs) are patient-facing conversational systems that synthesize user-entered information, patient-generated ...

Quercetin derivatives from Camellia sinensis for the discovery of anticancer compound against P-glycoprotein-mediated multidrug resistance: a computational approach.

Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...

IL4Rα blockade inhibits proliferation of malignant lymphocytes and the immunosuppressive tumor microenvironment of mycosis fungoides.

BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungoides (MF), and the 5-year survival rate is 25%. Du...