Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing
Wearable insole-based pressure sensor systems have gained attention for continuous gait monitoring, showing potential for preventing, diagnosing, and treating conditions such as lumbar degenerative disease and diabetic foot ulcers. However, challe...
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 ...
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 ...
Trends in Multiple Chronic Conditions Among US Adults, By Life Stage, Behavioral Risk Factor Surveillance System, 2013–2023
A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand
Exploring the Dynamics of Artificial Intelligence Literacy on English as a Foreign Language Learners’ Willingness to Communicate: The Critical Mediating Roles of Artificial Intelligence Learning Self-Efficacy and Classroom Anxiety
The increasing incorporation of artificial intelligence (AI) in English as a foreign language (EFL) instruction has garnered much attention on the importance of technological elements in language instruction. However, while AI in education (AIED) ...
Exploring the E-Waste Crisis: Strategies for Sustainable Recycling and Circular Economy Integration
Electronic waste (e-waste) is the fastest-growing waste stream on the planet, yet it remains critically under-addressed in global waste management and recycling efforts. The rapid pace of technological advancement has led to increased consumption ...
High-energy and long-life O3-type layered cathode material for sodium-ion batteries
Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection
These recent years have witnessed that convolutional neural network (CNN)-based methods for detecting infrared small targets have achieved outstanding performance. However, these methods typically employ standard convolutions, neglecting to consid...
Retrieval-Augmented Generation (RAG) Chatbots for Education: A Survey of Applications
Retrieval-Augmented Generation (RAG) overcomes the main barrier for the adoption of LLM-based chatbots in education: hallucinations. The uncomplicated architecture of RAG chatbots makes it relatively easy to implement chatbots that serve specific ...
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
Embedded flight devices with visual capabilities have become essential for a wide range of applications. In aerial image detection, while many existing methods have partially addressed the issue of small target detection, challenges remain in opt...
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...
Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
Artificial intelligence (AI) has rapidly transformed various sectors, including healthcare, where it holds the potential to transform clinical practice and improve patient outcomes. However, its integration into medical settings brings significant...
Generative AI at Work
Abstract We study the staggered introduction of a generative AI–based 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 ...
Relation of Low-Density Lipoprotein Cholesterol, High-Sensitivity C-Reactive Protein, and Lipoprotein(a) Each to Future Cardiovascular Events and Death After Acute Coronary Syndrome on High-Intensity Statin Therapy: An Analysis of the Placebo Arm of ODYSSEY OUTCOMES
Nanofabrication for Nanophotonics
High-entropy alloy enables multi-path electron synergism and lattice oxygen activation for enhanced oxygen evolution activity
SaaS Metrics
Academic Publication