Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Undernutrition and Intestinal Infections in Children: A Narrative Review
Undernutrition affects thousands of children under five years old worldwide, and various factors are related to its onset, among which we highlight enteric infections and gastrointestinal barrier dysfunction. The cycle of intestinal infections and...
Vulnerability Detection with Code Language Models: How Far are We?
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
Diabetic neuropathy: cutting-edge research and future directions
Abstract Diabetic neuropathy (DN) is a prevalent and debilitating complication of diabetes mellitus, significantly impacting patient quality of life and contributing to morbidity and mortality. Affecting approximately 50% of patients wit...
GOAT: A Global Optimization Algorithm for Molecules and Atomic Clusters
AbstractIn this work, we propose a new Global Optimization Algorithm (GOAT) for molecules and clusters of atoms and show how it can find the global energy minima for both systems without resorting to molecular dynamics (MD). This avoids the potent...
Selectivity in Chemiresistive Gas Sensors: Strategies and Challenges
Realistic roles for hydrogen in the future energy transition
Global soil pollution by toxic metals threatens agriculture and human health
Toxic metal pollution is ubiquitous in soils, yet its worldwide distribution is unknown. We analyzed a global database of soil pollution by arsenic, cadmium, cobalt, chromium, copper, nickel, and lead at 796,084 sampling points from 1493 regional ...
Computational design of serine hydrolases
The design of enzymes with complex active sites that mediate multistep reactions remains an outstanding challenge. With serine hydrolases as a model system, we combined the generative capabilities of RFdiffusion with an ensemble generation method ...
A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand
High-energy and long-life O3-type layered cathode material for sodium-ion batteries
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
U-Net has become a cornerstone in various visual applications such as image segmentation and diffusion probability models. While numerous innovative designs and improvements have been introduced by incorporating transformers or MLPs, the networks ...
A comprehensive survey of loss functions and metrics in deep learning
Complexities of the global plastics supply chain revealed in a trade-linked material flow analysis
Abstract Plastic has become an integral part of our lives. Addressing the global environmental concerns of plastics requires a comprehensive analysis along the whole supply chain. Here, we provide a global trade-linked material flow anal...
High-entropy alloy enables multi-path electron synergism and lattice oxygen activation for enhanced oxygen evolution activity
Generative AI at Work
Abstract We study the staggered introduction of a generative AIābased conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per ...
TAM and IS success model on digital library use, user satisfaction and net benefits: Indonesian open university context
Purpose The purpose of this study is to inform the variables affecting the use of digital library, user satisfaction and net benefits perceived by Indonesian open university (IOU) students. The merge of the technology acceptance ...
Nanofabrication for Nanophotonics
Advanced Neural Network Models for Optimal Energy Management in Microgrids with Integrated Electric Vehicles
SaaS Metrics
Academic Publication