Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics
Obesity: Prevalence, causes, consequences, management, preventive strategies and future research directions
Short-chain fatty acids (SCFAs) in gut health: Implications for drug metabolism and therapeutics
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Diffusion policy: Visuomotor policy learning via action diffusion
This paper introduces Diffusion Policy, a new way of generating robot behavior by representing a robot’s visuomotor policy as a conditional denoising diffusion process. We benchmark Diffusion Policy across 15 different tasks from 4 different robot...
Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity
As artificial intelligence (AI) transforms society, understanding factors that influence AI receptivity is increasingly important. The current research investigates which types of consumers have greater AI receptivity. Contrary to expectations rev...
Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations
Algorithmic management in the gig economy: A systematic review and research integration
SummaryRapid growth in the gig economy has been facilitated by the increased use of algorithmic management (AM) in online platforms (OPs) coordinating gig work. There has been a concomitant increase in scholarship related to AM across scientific d...
Defect‐driven innovations in photocatalysts: Pathways to enhanced photocatalytic applications
AbstractDefect engineering in photocatalytic materials has garnered significant interest due to the considerable impact of defects on light absorption, charge separation, and surface reaction dynamics. However, a limited understanding of how these...
Authenticity in Influencer Marketing: How Can Influencers and Brands Work Together to Build and Maintain Influencer Authenticity?
This study examines how different stakeholders perceive influencer authenticity, revealing the misalignments that arise when each group prioritizes different aspects of authenticity. In doing so, the authors generate new theory on influencer marke...
Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial
Abstract Covariance-based structural equation modeling (CB-SEM) enables researchers to estimate models with hypothesized cause-effect relationships between latent variables (i.e., constructs), each of which is operationalized by several ...
TriNetX Dataworks‐ USA : Overview of a Multi‐Purpose, De‐Identified, Federated Electronic Health Record Real‐World Data and Analytics Network and Comparison to the US Census
ABSTRACT Introduction Many clinical data networks often focus on a single use‐case or disease. By contrast, the TriNetX Dataworks‐USA Network contains real‐world clinical information that ...
Virtual luxury in the metaverse: NFT-enabled value recreation in luxury brands
A Faraday Cage‐Inspired Triboelectric Nanogenerator Enabled by Alloy Powder Architecture for Self‐Powered Ocean Sensing
Self‐powered sensing technologies are increasingly sought for intelligent and autonomous marine environmental monitoring. A Faraday cage‐enabled triboelectric nanogenerator (FC‐TENG) is developed by incorporating a FeCoCrNiAl alloy powder layer, e...
Next-generation agentic AI for transforming healthcare
Sustainable Hard Carbon for Sodium‐Ion Batteries: Precursor Design and Scalable Production Roadmaps
AbstractSodium‐ion batteries (SIBs) emerge as a sustainable and cost‐effective alternative to lithium‐ion batteries due to the abundant and widely distributed nature of sodium resources. Hard carbon anodes, characterized by their pseudo‐graphitic ...
Revolutionizing multi‐omics analysis with artificial intelligence and data processing
Abstract Our understanding of intricate biological systems has been completely transformed by the development of multi‐omics approaches, which entail the simultaneous study of several different molecular data types. However, ther...
A Review on Edge Large Language Models: Design, Execution, and Applications
Large language models (LLMs) have revolutionized natural language processing with their exceptional understanding, synthesizing, and reasoning capabilities. However, deploying LLMs on resource-constrained edge devices presents significant challeng...
Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction
Abstract Toxicity risk assessment plays a crucial role in determining the clinical success and market potential of drug candidates. Traditional animal-based testing is costly, time-consuming, and ethically controversial, which ha...
Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges
Background: Theintegration of artificial intelligence (AI) into clinical decision support systems (CDSSs) has significantly enhanced diagnostic precision, risk stratification, and treatment planning. AI models remain a barrier to clinical adoption...
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