Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
When LLMs meet cybersecurity: a systematic literature review
Abstract The rapid development of large language models (LLMs) has opened new avenues across various fields, including cybersecurity, which faces an evolving threat landscape and demand for innovative technologies. Despite initial explor...
An Overview on the Role of Government Initiatives in Nanotechnology Innovation for Sustainable Economic Development and Research Progress
Nanoparticle technology has emerged as a fundamental component across various industries, including electronics, renewable energy, textiles, and medical biotechnology, particularly for targeted drug delivery applications. Commercialization has pro...
Large Language Models for Chatbot Health Advice Studies
Importance There is much interest in the clinical integration of large language models (LLMs) in health care. Many studies have assessed the ability of LLMs to provide health advice, but the quality of their reporting is uncert...
Human mobility is well described by closed-form gravity-like models learned automatically from data
tidk: a toolkit to rapidly identify telomeric repeats from genomic datasets
Abstract Summary “tidk” (short for telomere identification toolkit) uses a simple, fast algorithm to scan long DNA reads for the presence of short tandemly repeated DNA in runs, and to aggregate ...
FoldX force field revisited, an improved version
Abstract Motivation The FoldX force field was originally validated with a database of 1000 mutants at a time when there were few high-resolution structures. Here, we have manually curated a datab...
AI-DRIVEN FAULT DETECTION AND PREDICTIVE MAINTENANCE IN ELECTRICAL POWER SYSTEMS: A SYSTEMATIC REVIEW OF DATA-DRIVEN APPROACHES, DIGITAL TWINS, AND SELF-HEALING GRIDS
The increasing complexity of electrical power systems necessitates advanced fault detection and predictive maintenance strategies to enhance operational efficiency and grid reliability. Traditional maintenance approaches, such as reactive and prev...
The role of climate and population change in global flood exposure and vulnerability
Ultrathin broadband terahertz metamaterial based on single-layer nested patterned graphene
An overview on the recent advances in robot-assisted compensation methods used in machining lightweight materials
2024 ACC Expert Consensus Decision Pathway on Strategies and Criteria for the Diagnosis and Management of Myocarditis
Molecular mechanisms of mitochondrial dynamics
How does corporate digital transformation affect green innovation? Evidence from China's enterprise data
GraphMLP: A graph MLP-like architecture for 3D human pose estimation
How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations
TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation
Roles of H3K4 methylation in biology and disease
Microbial extracellular polymeric substances in the environment, technology and medicine
A review of lithium-ion battery recycling for enabling a circular economy
A Novel Pixel-Based Reconfigurable Antenna Applied in Fluid Antenna Systems With High Switching Speed
SaaS Metrics
Academic Publication