Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector
Despite the challenges faced, the future of the apparel retail industry looks promising, with endless opportunities for growth and development. Automated body measurements and size suggestions for customers is a game-changer in the world of online...
Mechanically Tunable Circularly Polarized Luminescence of Liquid Crystal‐Templated Chiral Perovskite Quantum Dots
Abstract Endowing perovskite quantum dots (PQDs) with circularly polarized luminescence (CPL) offers great promise for innovative chiroptical applications, but the existing strategies are inefficient in acqui...
Multifaceted Ability of Organic Fertilizers to Improve Crop Productivity and Abiotic Stress Tolerance: Review and Perspectives
The long-term use of chemical fertilizers poses a serious threat to crop productivity and soil quality. Organic fertilizers are used to improve the soil fertility and crop productivity. The application of organic fertilizers improves soil health a...
Managing extreme AI risks amid rapid progress
Preparation requires technical research and development, as well as adaptive, proactive governance
Molecular mechanisms of aging and anti-aging strategies
AbstractAging is a complex and multifaceted process involving a variety of interrelated molecular mechanisms and cellular systems. Phenotypically, the biological aging process is accompanied by a gradual loss of cellular function and the systemic ...
Phylogenomics and the rise of the angiosperms
AbstractAngiosperms are the cornerstone of most terrestrial ecosystems and human livelihoods1,2. A robust understanding of angiosperm evolution is required to explain their rise to ecological dominance. So far, the angiosperm tree of life has been...
Full-colour 3D holographic augmented-reality displays with metasurface waveguides
AbstractEmerging spatial computing systems seamlessly superimpose digital information on the physical environment observed by a user, enabling transformative experiences across various domains, such as entertainment, education, communication and t...
irGSEA: the integration of single-cell rank-based gene set enrichment analysis
Abstract irGSEA is an R package designed to assess the outcomes of various gene set scoring methods when applied to single-cell RNA sequencing data. This package incorporates six distinct scoring methods that rely on the expression ...
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Abstract With their diverse biological activities, peptides are promising candidates for therapeutic applications, showing antimicrobial, antitumour and hormonal signalling capabilities. Despite their advantages, therapeutic peptide...
MvMRL: a multi-view molecular representation learning method for molecular property prediction
AbstractEffective molecular representation learning is very important for Artificial Intelligence-driven Drug Design because it affects the accuracy and efficiency of molecular property prediction and other molecular modeling relevant tasks. Howev...
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Abstract Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generative models for de novo drug design, in particular,...
Google Gemini as a next generation AI educational tool: a review of emerging educational technology
AbstractThis emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processi...
Veterinary Drug Residues in the Food Chain as an Emerging Public Health Threat: Sources, Analytical Methods, Health Impacts, and Preventive Measures
Veterinary medications are necessary for both contemporary animal husbandry and food production, but their residues can linger in foods obtained from animals and pose a dangerous human risk. In this review, we aim to highlight the sources, occurre...
Separators and Membranes for Advanced Alkaline Water Electrolysis
Photocurrent Ambipolar Behavior in Phase Junction of a Ga2O3 Porous Nanostructure for Solar-Blind Light Control Logic Devices
Efficient Capture and Electroreduction of Dilute CO2 into Highly Pure and Concentrated Formic Acid Aqueous Solution
Nonreciprocal Quantum Batteries
Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis
Background Large language models (LLMs) have raised both interest and concern in the academic community. They offer the potential for automating literature search and synthesis for systematic reviews but raise concerns regardin...
Interfacial Engineering for Oriented Crystal Growth toward Dendrite‐Free Zn Anode for Aqueous Zinc Metal Battery
AbstractZn deposition with a surface‐preferred (002) crystal plane has attracted extensive attention due to its inhibited dendrite growth and side reactions. However, the nucleation and growth of the Zn(002) crystal plane are closely related to th...
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
AbstractAccurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-ion batteries. However, reliable and stable battery SOH estimation remains challenging due to diverse battery types and operating conditions. ...
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