Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Direct Photocatalytic Oxidation of Methane to Formic Acid with High Selectivity via a Concerted Proton–Electron Transfer Process
Synergistic Atomic Environment Optimization of Nickel–Iron Dual Sites by Co Doping and Cr Vacancy for Electrocatalytic Oxygen Evolution
Hydrogen as a clean energy carrier: advancements, challenges, and its role in a sustainable energy future
Abstract This comprehensive review examines hydrogen’s potential as a pivotal clean energy carrier, focusing on its role in replacing fossil fuels across various industries. This study also examines recent advancements in hydroge...
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis
Abstract Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHR...
The effect of trust on user adoption of AI-generated content
Purpose The purpose of this study is to examine the effect of trust on user adoption of artificial intelligence-generated content (AIGC) based on the stimulus–organism–response. ...
Instabilities and Mixing in Inertial Confinement Fusion
By imploding fuel of hydrogen isotopes, inertial confinement fusion (ICF) aims to create conditions that mimic those in the Sun's core. This is fluid dynamics in an extreme regime, with the ultimate goal of making nuclear fusion a viable clean ene...
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
Federated Learning (FL) has emerged as a pivotal approach for decentralized Machine Learning (ML), addressing the unique demands of the Internet of Things (IoT) environments where data privacy, bandwidth constraints, and device heterogeneity are p...
Comprehensive Review: Optimization of Epoxy Composites, Mechanical Properties, & Technological Trends
Epoxy composites play a crucial role in modern materials technologies, with their exceptional properties such as high strength and thermal and chemical resistance, making them ideal for a wide range of industrial applications, including aerospace,...
FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine
ImportanceAdvances in artificial intelligence (AI) must be matched by efforts to better understand and evaluate how AI performs across health care and biomedicine as well as develop appropriate regulatory frameworks. This Special Communication rev...
Machine Learning-Assisted High-Donor-Number Electrolyte Additive Screening toward Construction of Dendrite-Free Aqueous Zinc-Ion Batteries
Current applications and challenges in large language models for patient care: a systematic review
Abstract Background The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and br...
Algorithmic Management in Organizations? From Edge Case to Center Stage
This article offers a comprehensive review of the literature on algorithmic management (AM), focusing on insights from human resource management (HRM), organizational psychology (OP), and organizational behavior (OB). It examines how AM is concept...
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration
Large language models (LLMs) have transformed numerous AI applications. On-device LLM is becoming increasingly important: running LLMs locally on edge devices can reduce cloud computing costs and protect users' privacy. However, the astronomical m...
Datopotamab Deruxtecan Versus Chemotherapy in Previously Treated Inoperable/Metastatic Hormone Receptor–Positive Human Epidermal Growth Factor Receptor 2–Negative Breast Cancer: Primary Results From TROPION-Breast01
PURPOSE The global, phase 3, open-label, randomized TROPION-Breast01 study assessed the trophoblast cell surface antigen 2–directed antibody-drug conjugate datopotamab deruxtecan (Dato-DXd) versus investigator's choice of chemotherapy ...
Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis
Background Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low. ...
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abstract Plant diseases cause significant damage to agriculture, leading to substantial yield losses and posing a major threat to food security. Detection, identification, quantification, and diagnosis of plant diseases are crucial parts...
Self-Cascaded Pyroptosis-STING Initiators for Catalytic Metalloimmunotherapy
Optimization of nano-filler and silane treatment on mechanical performance of nanographene hybrid composites using RSM and ANN technique
The impact of social media marketing on brand awareness, brand engagement and purchase intention in emerging economies
PurposePurpose. Based on the Uses and Gratifications Theory (UGT), theory of consumer brand engagement (CBE), and empirical findings, we examine the impact of social media marketing (SMM) on brand awareness (BA), consumer brand engagement (CBE), a...
Heavy Metal Pollution in Coastal Environments: Ecological Implications and Management Strategies: A Review
Heavy metals originating from industrial runoff, agricultural practices, urbanization, and natural geological processes persist in coastal sediments due to their low degradation rates and high stability. Their cycling is influenced by sediment dyn...
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