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Updates every hour. Last Updated: 14-Nov-2025 05:11 ET (14-Nov-2025 10:11 GMT/UTC)
Neural networks meet physics to predict supercapacitor lifespan: A breaking through method for energy storage monitoring
Beijing Institute of Technology Press Co., Ltd- Journal
- Green Energy and Intelligent Transportation
- Funder
- National Natural Science Foundation of China, Beijing Natural Science Foundation
Friendship bias in peer assessment of EFL oral presentations
Osaka Metropolitan University- Journal
- Assessment in Education Principles Policy and Practice
Teaching robots how to interact with their surroundings
Ohio State UniversityHigh-precision analysis of microstructures in 2D materials using electron microscopy and machine learning
National Institute for Materials Science, JapanA research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: twist domains (areas where one atomic layer is slightly rotated relative to another) and polarities (differences in atomic orientation). The material, monolayer molybdenum disulfide (MoS₂), is regarded as a promising candidate for use in next-generation electronic devices. This breakthrough was achieved by combining scanning transmission electron microscopy (STEM) with artificial intelligence (machine learning), allowing researchers to capture highly detailed nanoscale features over large areas. The research was published in Small Methods on August 6, 2025.
- Journal
- Small Methods
- Funder
- Japan Society for the Promotion of Science, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Japan Society for the Promotion of Science, Japan Society for the Promotion of Science, Japan Society for the Promotion of Science
Testing lung function earlier may help identify risk for COPD
COPD FoundationMeasuring lung function earlier in life would help identify people at risk of developing chronic obstructive pulmonary disease (COPD and allow for more timely interventions, according to a new study in the September 2025 issue of Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation, a peer-reviewed, open access journal.
- Journal
- Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation
How agricultural subsidy policies drive the transformation of agrifood systems?
Higher Education PressRecently, Associate Professor Xiaolong Feng from the College of Economics and Management at China Agricultural University, together with researchers from the Alliance for a Green Revolution in Africa (AGRA), has addressed these questions through a comparative analysis of agricultural subsidy policies in China and Africa. The related article has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2025624).
- Journal
- Frontiers of Agricultural Science and Engineering
How China–Africa cooperation addresses resource, environmental, and climate challenges through agrifood system transformation?
Higher Education PressRecently, an in-depth study addressing this question was jointly conducted by Associate Professor Ting Meng from the College of Economics and Management at China Agricultural University, in collaboration with researchers from the Research Institute for Eco-civilization of the Chinese Academy of Social Sciences and the Alliance of Biodiversity International and International Center for Tropical Agriculture (Senegal). The study offers systematic solutions for developing countries, and the related article was published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2025646).
- Journal
- Frontiers of Agricultural Science and Engineering
Development of a novel luliconazole transferosomal gel for enhanced antifungal delivery
Journal of Dermatologic Science and Cosmetic TechnologyThis study developed and evaluated a novel transferosomal gel formulation incorporating luliconazole to enhance topical antifungal therapy. Luliconazole, an imidazole antifungal drug, is widely prescribed for dermatophytic infections such as tinea pedis, tinea cruris, and tinea corporis. However, conventional topical formulations often suffer from poor skin penetration, low drug bioavailability, and the need for frequent application, which may reduce patient compliance.
In this work, transferosomes were prepared using thin film hydration with lecithin and Tween 80 at varying concentrations, followed by incorporation into a carbopol gel base. The transferosomes demonstrated high entrapment efficiency of 74.45% and 92.75% with particle sizes ranging between 60–200 nm, and scanning electron microscopy confirmed their spherical morphology. The in vitro release study revealed an inverse relationship between entrapment efficiency and release rate, indicating a controlled and sustained release behavior.
The formulated transferosomal gel was further characterized for pH, drug content, spreadability, and viscosity, all of which fell within acceptable ranges for topical application. Importantly, antifungal activity testing confirmed that the luliconazole transferosomal gel exerted a strong therapeutic effect against dermatophytes.
Overall, the study highlights the potential of transferosomal technology to overcome the limitations of conventional antifungal formulations. By improving drug penetration and sustaining drug release, the luliconazole transferosomal gel reduces the frequency of application required, which may enhance treatment adherence and patient outcomes. These findings underscore the promise of transferosome-based gels as a novel drug delivery strategy for managing dermatophytic skin infections effectively.
- Journal
- Journal of Dermatologic Science and Cosmetic Technology
CAN-scan: new machine learning (ML) tool predicts drug response in colorectal cancer, opening doors to personalized treatment
Agency for Science, Technology and Research (A*STAR), SingaporeA Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform designed to “scan” the molecular features of each patient’s cancer. Published in Cell Reports Medicine, CAN-Scan integrates patient-derived tumour models, multi-omics profiling, and machine learning to predict disease progression and therapeutic response, with the potential to personalise treatment for colorectal cancer (CRC) patients in the future.
- Journal
- Cell Reports Medicine