Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
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...
Regulatory Networks Underlying Plant Responses and Adaptation to Cold Stress
Cold is an important environmental factor limiting plant growth and development. Recent studies have revealed the complex regulatory networks associated with plant responses to cold and identified their interconnections with signaling pathways rel...
The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review
This comprehensive review explores the applications and challenges of Digital Twin (DT) technology in smart grids. As power grid systems rapidly evolve to meet the increasing energy demands and the new requirements of renewable source integration,...
3D-GloBFP: the first global three-dimensional building footprint dataset
Understanding urban vertical structures, particularly building heights, is essential for examining the intricate interaction between humans and their environment. Such datasets are indispensable for a variety of applications, including climate mod...
Twin-distortion modulated ultra-low coordination PtRuNi-Ox catalyst for enhanced hydrogen production from chemical wastewater
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...
scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data
Abstract Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chromosomal spatial structure information at the cellular level. However, to effectively investigate changes in chromosomal ...
Nature of metal-support interaction for metal catalysts on oxide supports
The metal-support interaction is one of the most important pillars in heterogeneous catalysis, but developing a fundamental theory has been challenging because of the intricate interfaces. Based on experimental ‎data, interpretable machine learnin...
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...
IoT Technologies for the Intelligent Dairy Industry
The smart dairy industry has radically transformed the manufacturing, processing, and distribution processes of milk and other dairy products. By utilizing sensors, data analytics, and other smart technologies, dairy farmers can lower their enviro...
Transition versus physical climate risk pricing in European financial markets: a text-based approach
Advances in Ionic Liquid Technologies for CO 2 Capture and Conversion: A Comprehensive Review
Engineering bone/cartilage organoids: strategy, progress, and application
AbstractThe concept and development of bone/cartilage organoids are rapidly gaining momentum, providing opportunities for both fundamental and translational research in bone biology. Bone/cartilage organoids, essentially miniature bone/cartilage t...
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...
Exploring Anticancer, Antifungal, Antibacterial, and Antioxidant Properties Colchicum luteum Root-Mediated Silver Nanoparticles with Green Synthesis
Coordination engineering of heterogeneous high-valent Fe(IV)-oxo for safe removal of pollutants via powerful Fenton-like reactions
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...
Matching patients to clinical trials with large language models
AbstractPatient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end framework for zero-shot patient-to-trial matching with large language models. TrialGPT comprises three modules: it first performs large-scale filt...
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...
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