Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Autonomous mobile robots for exploratory synthetic chemistry
AbstractAutonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making1,2. Most autonomous laboratories involve bespoke automated equipment3–6, and reaction ...
Efficient green InP-based QD-LED by controlling electron injection and leakage
How to Assess and Predict Electrical Double Layer Properties. Implications for Electrocatalysis
A Universal Interfacial Reconstruction Strategy Based on Converting Residual Alkali for Sodium Layered Oxide Cathodes: Marvelous Air Stability, Reversible Anion Redox, and Practical Full Cell
Pre-owned housing price index forecasts using Gaussian process regressions
Purpose The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors. Design/methodology/approach This s...
Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review
A theoretical model for compressible bubble dynamics considering phase transition and migration
A novel theoretical model for bubble dynamics is established that simultaneously accounts for the liquid compressibility, phase transition, oscillation, migration, ambient flow field, etc. The bubble dynamics equations are presented in a unified a...
Multimodal deep learning approaches for precision oncology: a comprehensive review
Abstract The burgeoning accumulation of large-scale biomedical data in oncology, alongside significant strides in deep learning (DL) technologies, has established multimodal DL (MDL) as a cornerstone of precision oncology. This revi...
Surface restructuring and predictive design of heterogeneous catalysts
Heterogeneous catalysts, which often consist of metal nanoparticles loaded on supports such as metal oxides, can undergo several types of restructuring under reaction and catalytic conditions. Advanced characterizations now allow the surface struc...
Transition versus physical climate risk pricing in European financial markets: a text-based approach
Restrictive vs Liberal Transfusion Strategy in Patients With Acute Brain Injury
ImportanceBlood transfusions are commonly administered to patients with acute brain injury. The optimal hemoglobin transfusion threshold is uncertain in this patient population.ObjectiveTo assess the impact on neurological outcome of 2 different h...
Vision-language models for medical report generation and visual question answering: a review
Medical vision-language models (VLMs) combine computer vision (CV) and natural language processing (NLP) to analyze visual and textual medical data. Our paper reviews recent advancements in developing VLMs specialized for healthcare, focusing on p...
Trust in AI: progress, challenges, and future directions
Advances in Wearable Biosensors for Healthcare: Current Trends, Applications, and Future Perspectives
Wearable biosensors are a fast-evolving topic at the intersection of healthcare, technology, and personalized medicine. These sensors, which are frequently integrated into clothes and accessories or directly applied to the skin, provide continuous...
Research Issues and Challenges in AI-Embedded 6G Network Architecture
Nanotechnology in healthcare, and its safety and environmental risks
AbstractNanotechnology holds immense promise in revolutionising healthcare, offering unprecedented opportunities in diagnostics, drug delivery, cancer therapy, and combating infectious diseases. This review explores the multifaceted landscape of n...
Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States
Per- and polyfluoroalkyl substances (PFAS), known colloquially as “forever chemicals,” have been associated with adverse human health effects and have contaminated drinking water supplies across the United States owing to their long-term and wides...
A survey on multimodal large language models
ABSTRACT Recently, the multimodal large language model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful large language models (LLMs) as a brain to perform multimodal tasks. The surprising emer...
Large Band Splitting in g -Wave Altermagnet CrSb
Single Atom Catalysts Based on Earth-Abundant Metals for Energy-Related Applications
SaaS Metrics
Academic Publication