Results 151 to 160 of about 22,931,160 (232)

A Dual‐Mode In Situ EV‐miRNA Profiling Platform for Machine‐Learning‐Assisted Gastric Cancer Liquid Biopsy

Advanced Science, EarlyView.
An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li, Rui Fan, Kun Xie, Jiehua Zhong, Yitong Zhu, Tingting Ji, Yuanyuan Qin, Shijin Peng, Yu Zhang, Yuhang Guo, Tiange Zhang, Chunchen Liu, Bo Li, Lei Zheng, Ye Zhang, Xiaohui Yan   +15 more
wiley   +1 more source

Multifunctional Nanovaccine‐Radiotherapy Synergy Drives Anti‐Tumor Immunity via Multi‐Cascade Cell Death for Pancreatic Cancer Therapy

Advanced Science, EarlyView.
Machine‐learning‐driven transcriptomic analysis identifies FSTL3 as a key tumor‐microenvironment regulator in desmoplastic pancreatic adenocarcinoma. A cRGD‐modified liposome co‐loading gemcitabine and siFSTL3 serves as an irradiation‐triggered in situ nanovaccine. It synergizes with radiotherapy to induce ferroptosis and immunogenic cell death through
Chengyi Huang, Yushu Han, Xiang Liu, Chuanhao Wang, Xiaofei Zhu, Di Chen, Yangyang Gong, Liang Chen, Wenjuan Chen, Zhenyuan Miao, Bufu Tang, Huojun Zhang   +11 more
wiley   +1 more source

Proteogenomic Profiling of Idiopathic Pulmonary Arterial Hypertension Identifies Sex‐Differential Proteins and Candidate Therapeutic Targets

Advanced Science, EarlyView.
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin, Yangchang Zhang, Yang Pu, Duanke Liu, Tao Lei, Kai Ma, Qiyu He, Zheng Dou, Yuze Liu, Dengyuan Liu, Yinge He, Yanshang Wang, Xiaojiao Zheng, Yanbing Ma, Jianrong Zhou, Weiding Zhai, Binbin Su, Li Chen, Shoujun Li   +18 more
wiley   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

Moisture transport in wood and wood-based panels

, 1988
Rapporten presenterar en matematisk modell för fuktdiffusion i barrved, baserad på tidigare arbeten om olika diffusionsprocesser i kombination med kunskap om den mikroskopiska cellstrukturen hos barrved. Rapporten är på engelska med svensk sammanfattning och utgiven i samarbete med KTHs institution för byggmateriallära.
openaire   +1 more source

The MoSR‐MoDde1 Regulatory Axis: A Novel Determinant of DMI Sensitivity and a Target for Sustainable Rice Blast Control

Advanced Science, EarlyView.
The transcription factor MoSR governs DMI fungicide sensitivity in Magnaporthe oryzae through dual regulation of ergosterol biosynthesis and the detoxification enzyme MoDde1. Targeting MoDde1 via a small‐molecule inhibitor or host‐induced gene silencing enhances DMI efficacy against rice blast, offering a sustainable disease management strategy ...
Fan‐Zhu Meng, Wen‐Kai Wei, Meng‐Yao Wu, Min‐Zheng Cai, Yu‐Fu Wang, Li Zhao, Shuai Meng, Liang‐Fen Yin, Guido Schnabel, Wei‐Xiao Yin, Chao‐Xi Luo   +10 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci, Giulia Maesano, Leonardo Casini, Maurizio Canavari, Marija Cerjak   +4 more
wiley   +1 more source

Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park, Seong D. Yun, Brandy E. Phipps, Tyler Mark, Craig Schluttenhofer   +4 more
wiley   +1 more source