Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
User acceptance of health information technologies (HIT): an application of the theory of planned behavior
Health Information Technologies (HIT) has a significant chance of enhancing the standard of medical treatment, but their acceptance faces major obstacles including low adoption rates and professional hesitancy. Limited research on HIT adoption, es...
Time- vs Step-Based Physical Activity Metrics for Health
ImportanceCurrent US physical activity (PA) guidelines prescribe moderate to vigorous PA (MVPA) time of at least 150 minutes per week for health. An analogous step-based recommendation has not been issued due to insufficient evidence.ObjectiveTo e...
Nonflammable Succinonitrile‐Based Deep Eutectic Electrolyte for Intrinsically Safe High‐Voltage Sodium‐Ion Batteries
AbstractIntrinsically safe sodium‐ion batteries are considered as a promising candidate for large‐scale energy storage systems. However, the high flammability of conventional electrolytes may pose serious safety threats and even explosions. Herein...
Side Reactions/Changes in Lithium‐Ion Batteries: Mechanisms and Strategies for Creating Safer and Better Batteries
AbstractLithium‐ion batteries (LIBs), in which lithium ions function as charge carriers, are considered the most competitive energy storage devices due to their high energy and power density. However, battery materials, especially with high capaci...
Managerial control or feedback provision: How perceptions of algorithmic HR systems shape employee motivation, behavior, and well‐being
AbstractAlgorithmic HR systems are becoming a more prevalent interface between organizations and employees. Yet little research has examined how automated HR processes impact employee motivation. In a three‐wave study (NTime1 = 401; NTime2 = 379; ...
Solar cell efficiency tables (Version 64)
AbstractConsolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since Janua...
When large language models meet personalization: perspectives of challenges and opportunities
AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved, leadi...
Recommendations for the use of next-generation sequencing (NGS) for patients with advanced cancer in 2024: a report from the ESMO Precision Medicine Working Group
A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: Lab scale studies and large scale proposal
A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem
Towards innovative and sustainable buildings: A comprehensive review of 3D printing in construction
Underwater dam crack image generation based on unsupervised image-to-image translation
Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancer
An overview of technologies for capturing, storing, and utilizing carbon dioxide: Technology readiness, large-scale demonstration, and cost
Surface engineering strategy for MXene to tailor electromagnetic wave absorption performance
Discovery of antimicrobial peptides in the global microbiome with machine learning
Fairness, AI & recruitment
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI
Optimizing energy Dynamics: A comprehensive analysis of hybrid energy storage systems integrating battery banks and supercapacitors
Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy
SaaS Metrics
Academic Publication