Results 191 to 200 of about 10,460 (262)

Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury

Advanced Science, EarlyView.
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie, Gulimire Yilihan, Qiong Chen, Dachuan Lin, Zhen Liu, Mengyi Yuan, Yujia Wang, Haoteng Xu, Weishang Zhou, Wanxin Gong, Yueer Li, Chen Peng, Tong Yang, Peng Gao, Qing Liu, Xin‐Hua Feng, Mu Xiao, Chao Jiang   +17 more
wiley   +1 more source

Enhancing reliability in electrical grids: A hybrid machine learning approach for electrical faults classification. [PDF]

PLoS One
Begum M, Shiplu AI, Shuvo MH, Al Farid F, Jerin SI, Uddin J, Karim HBA.   +6 more
europepmc   +1 more source

Enzymatic DNA Reaction Networks for Orchestrating Stimuli‐Dependent Temporal Molecular Pulse

Advanced Science, EarlyView.
We present an enzymatic DNA reaction network (EDRN) that encodes nucleic‐acid targets in time, converting inputs into a universal strand and then into programmable transient fluorescence pulses. With time‐color multiplexing, EDRN enables single‐tube high‐plex nucleic acid detection and shows strong agreement with clinical sequencing across 32 specimens.
Jiayu Yang, Yali Chang, Zibin Chu, Linghao Zhang, Tengfang Zhang, Dai Erhei, Xin Su, Zhe Yin   +7 more
wiley   +1 more source

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean

Advanced Science, EarlyView.
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen, Dawei Xin, Jinhui Wang   +11 more
wiley   +1 more source

Classification of time series using information granules for efficient detection of unmanned aerial vehicles faults. [PDF]

Sci Rep
Kiersztyn A, Karczmarek P, Stegierski R, Syta A, Ambrożkiewicz B, Jonak K, Koszewnik A, Ołdziej D, Dzienis P, Bazienė K, Gargasas J, Miazek P, Smoliński K.   +12 more
europepmc   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Research on Fault Diagnosis of Mechanical Bearings Based on Transfer Learning. [PDF]

Sensors (Basel)
Gao X, Zhang Y, Dong E, You Z, Wen L, Cheng Z.   +5 more
europepmc   +1 more source

Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion

Advanced Science, EarlyView.
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang, Zixin Yang, Shan Wang, Weiwei Tan, Zhirui He, Qinyu Duan, Huanan Wang, Tao Chen, Shanshan Hu   +8 more
wiley   +1 more source

Backbone agnostic Pareto evidential networks for trustworthy fault diagnosis and out of distribution detection. [PDF]

Sci Rep
Shi J, Tang M, Tan L.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source