Staffing & Scheduling

Strategies to Improve the Stability and Translation of Therapeutic mRNAs.

Therapeutic messenger RNAs (mRNAs) offer a versatile platform for treating a wide range of diseases, but their clinical efficacy hinges on optimizing both stability and translational efficiency. This review summarizes recent advances in strategies to enhance mRNA performance, with a focus on human therapeutics. We discuss secondary structure optimization, including artificial intelligence-guided d...

Policy-aware GPU resource allocation for national supercomputing.

The rapid expansion of AI, large-scale simulation, and data-intensive research has increased demand for GPU resources in national supercomputing systems. However, allocation mechanisms in many centers remain primarily workload-driven, which may not fully reflect evolving policy priorities across scientific domains. This study proposes a policy-integrated optimization framework that combines a targ...

Spatiotemporal dynamics and future predictions of ecosystem service synergies and trade-offs in China.

Ecosystems provide extensive benefits to human well-being through food production, climate regulation, and cultural services. Climate change and socio...

Integrated deep learning-driven multi-stage steam forecasting and scheduling optimization for converter energy systems.

Converter steam is a valuable secondary energy in steelmaking, and improving its recovery and utilization is essential for reducing energy cost. Howev...

Application of treatment response assessment maps (TRAMs), based on delayed-contrast MRI for radiomic characterization of breast lesions.

Dynamic contrast-enhanced (DCE) breast MRI is a highly sensitive modality for detecting breast cancer, but its limited specificity often leads to fals...

Evaluation of Otolaryngology Provider Bias in Portal Messaging.

BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...

Touching with torque enables human-level robotic dexterity.

Achieving human-like forceful manipulation remains a major challenge in robotics because of the lack of critical environmental interaction cues such a...

Reservoir-Based Graph Convolutional Networks.

Message passing is a core mechanism in Graph Neural Networks (GNNs), enabling the iterative update of node embeddings by aggregating information from ...

Shift to the core: Abnormal core-periphery global topography in unipolar and bipolar depression.

This study explores the global signal topography of core and periphery brain networks in Major Depressive Disorder (MDD), Bipolar disorder (BD-Dep) an...

From linguistic analyses to large language models: A scoping review of methods used to investigate language features in depression research.

Clinicians have long relied on communication to identify mental states, as many mental health conditions manifest in language. This scoping review exa...

Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management.

BACKGROUND: The increasing availability of continuous glucose monitoring (CGM) data has opened new avenues for modeling glucose dynamics in diabetes m...

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous ...

AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study.

BACKGROUND: Health care organizations have started to implement artificial intelligence-powered ambient scribe technology in clinical documentation wo...

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study.

Sepsis prediction models trained on ICU data often fail to generalize under external validation because of distribution shift. Prior studies have focu...

Integrating ChatGPT into knowledge-retrieval tutorials in undergraduate medical education: a prospective evaluation of higher-order learning and feasibility.

BACKGROUND: Generative artificial intelligence (AI) platforms such as ChatGPT present new opportunities to strengthen competency-based medical educati...

Redefining Cytotechnologist Practice in Sweden: National Survey on Workload, Expanded Roles, and Future Competency Needs.

INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...

Deep Learning Assisted Proton Pure Shift NMR Spectroscopy.

Nuclear magnetic resonance spectroscopy (NMR) plays a key role for the analysis of a plethora of molecules, including natural products and drug-like o...

Movie features are hierarchically encoded in the dynamics of functional connectivity.

The perception of the external environment relies on a cascade of neural computations in the visual cortex, where stimulus features are represented hi...

Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence.

Joint attention (JA), the shared focus between two individuals on an object or event, plays a pivotal role in social communication, cognitive developm...

Kolmogorov-Arnold networks for data-driven, physics-informed, and deep-operator learning: a review, synthesis, and new analysis.

The field of scientific machine learning, which originally utilized multilayer perceptrons (MLPs), is increasingly adopting Kolmogorov-Arnold Networks...