Results 141 to 150 of about 274,129 (290)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Machine Learning Accelerates Crystallization for Structure Determination

Angewandte Chemie, EarlyView.
Single‐crystal X‐ray diffraction (SCXRD) is often constrained by the difficulty of obtaining suitable crystals. Here, a machine learning‐accelerated co‐crystal discovery workflow is established for a crystalline mate strategy that achieves over 95% prediction accuracy and experimentally delivers 114 co‐crystals from 120 candidates.
Cui‐Zhou Luan, Xue‐Zhi Wang, Jian‐Guo Song, Yu Gu, Jing Wu, Ye‐Ting Wang, Jin‐Feng Liang, Jia‐Le Rao, Mo Xie, Jonathan R. Nitschke, Dan Li   +10 more
wiley   +2 more sources

Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights

Advanced Intelligent Systems, EarlyView.
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song, Changhyeon Han, Joonhyeok Choi, Jongwoo Lee, Hyun‐min Kim, Wongi Hong, Ujin Kim, Sung‐Tae Lee, Daewoong Kwon   +8 more
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

Angewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco, Gaia Meoni, Veronica Ghini, Alessia Vignoli, Leonardo Tenori, Paola Turano, Claudio Luchinat   +6 more
wiley   +2 more sources

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Quantitative proteomics identifies clusterin as a novel biomarker for atherosclerosis

Animal Models and Experimental Medicine, EarlyView.
This schematic illustrates the proposed mechanism. In advanced atherosclerotic lesions, upregulated CLU on the cell surface activates low‐density lipoprotein (LDL) receptor‐related protein 1 (LRP1). This interaction triggers the phosphorylation and activation of AKT.
Dengfeng Ding, Yingjie Zhang, Li Zhang, Xinou Zheng, Miaomiao Niu, Yunxiao Jia, Xuezhuang Li, Hua Chen, Chao Guo, Tao Jiang, Yuqiong Zhao   +10 more
wiley   +1 more source

A comprehensive proteome and phosphoproteome atlas across nine organs of the Chinese hamster

Animal Models and Experimental Medicine, EarlyView.
This study presents the first comprehensive proteome and phosphoproteome atlas of the Chinese hamster across nine organs (heart, liver, lung, kidney, spleen, cerebral cortex, skeletal muscle, stomach, and testis or ovary). A total of 14 219 proteins were identified in the proteome, with 11 828 phosphorylated proteins and 47 122 phosphorylation sites ...
Luyao Zhang, Tao Ding, Wanjun Peng, Jie Kong, Xiaoyue Tang, Jiyu Xu, Qiaochu Wang, Zhiyi Zhang, Chunmei Shi, Yizhuo Tian, Huilan Yang, Yehong Yang, Yue Wu, Xiaoyan Liu, Jiangfeng Liu, Juntao Yang   +15 more
wiley   +1 more source

Transcriptomic validation of a 7,12 Dimethylbenz(a)anthracene (DMBA)‐induced leukemia rat model: Parallels with human leukemogenesis

Animal Models and Experimental Medicine, EarlyView.
7,12‐Dimethylbenz[a]anthracene (DMBA) could induce leukemia and other types of cancers in rat models. Transcriptomics revealed gene expression profile that parallels with human leukemia. DMBA‐induced differential gene expression could validate the developed rat model.
Khaldoon Alsamman, Omar S. El‐Masry
wiley   +1 more source

USB1 deficiency disrupts neutrophil maturation via RNA dysregulation independent of global pre‐mRNA splicing

Animal Models and Experimental Medicine, EarlyView.
This graphical abstract illustrates the essential role of USB1 in neutrophil maturation. In normal myeloid cells, USB1 acts as an RNA exonuclease, trimming RNA tails to maintain proper RNA network function, which supports the differentiation of myeloid progenitor cells into mature neutrophils.
Hang Li, Guiying Shi, Jiaming Tang, Yiying Huang, Jie Wang, Xuepei Lei, Lin Bai   +6 more
wiley   +1 more source

Pattern matching with Elastic-Degenerate strings and Elastic-Founder graphs. [PDF]

Algorithms Mol Biol
Ascone R, Bernardini G, Conte A, Equi M, Gabory E, Grossi R, Pisanti N.   +6 more
europepmc   +1 more source