Results 171 to 180 of about 407,846 (278)

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

A digital twin approach for sustainable construction: predictive optimization of concrete strength using industry 4.0 principles. [PDF]

Sci Rep
Xin P, Isleem HF, Khishe M.
europepmc   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Effects of exercise on angiogenesis biomarkers in cancer patients: a systematic review and meta-analysis. [PDF]

Front Immunol
Wang J, He Y, Wang Z, Wang Z, Sun Y, Lee KH, Choi JY.   +6 more
europepmc   +1 more source

From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing

Advanced Functional Materials, EarlyView.
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov, Liyan Ming, Stanislav Sinogeikin, Erving Ximendes, Daniel Jaque, Riccardo Marin   +5 more
wiley   +1 more source

Microfluidic Platform for Multiparametric Profiling of Fibrin Permeability, Fibrinolysis, and Cell Invasion

Advanced Functional Materials, EarlyView.
This paper introduces a single‐channel H‐junction microfluidic assay that profiles fibrin's evolving function in repair and thrombosis by measuring, in one ∼3 µL gel, permeability, fibrinolysis kinetics, fibroblast invasion, and clot extension in real time.
Halston Deal, Elizabeth M. Byrnes, Sanika Pandit, Halle J. Cantor, Muskan Aslam, Stacy Ban, Megan Palmisano, Rosemary Bayless, Ashley C. Brown, Michael Daniele   +9 more
wiley   +1 more source

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma. [PDF]

PLoS Comput Biol
Sancéré L, Lorenz C, Helbig D, Persa OD, Dengler S, Kreuter A, Laimer M, Lang R, Fröhlich A, Landsberg J, Brägelmann J, Bozek K.   +11 more
europepmc   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source

From data to decision: an interpretable machine learning model for optimizing RAI therapy in Graves' hyperthyroidism. [PDF]

Front Endocrinol (Lausanne)
Lu L, Wei X, Chen Y, Meng D, Mo S, Sun Z, Song F, Liao K, Huang W.   +8 more
europepmc   +1 more source

Membrane Vesicles from Lacticaseibacillus Casei BL23 Exhibit Antimicrobial Activity Against Escherichia coli and Immunostimulatory Effects on Human Peripheral Blood Mononuclear Cells

Advanced Healthcare Materials, EarlyView.
Membrane vesicles derived from the probiotic Lacticaseibacillus casei BL23 demonstrate antimicrobial properties against Escherichia coli and a potential biological effect in improving the overall survival of C. elegans infected with Pseudomonas aeruginosa. These vesicles stimulated immune responses in primary cells without causing toxicity. Our results
Cecilia L. D'Antoni, Leila Pourtalebi Jahromi, Lorenzo Sana, Ana Paula Domínguez Rubio, Maja Dorfner, Jennifer Munkert, Heike Danzer, Philipp Arnold, Mikhail Lebedev, Esther Zanin, Oscar E. Pérez, Gregor Fuhrmann   +11 more
wiley   +1 more source