Results 61 to 70 of about 228,482 (264)

Plasma Metabolic Profile with Machine Learning Reveals Distinct Diagnostic and Biological Signatures for Pathologic Myopia

Advanced Science, EarlyView.
Plasma metabolic detection combined with machine learning offers a precise (area under the curve of 0.874) and high‐throughput (<30 s) diagnosis for pathologic myopia (serious myopic macular degeneration). The biomarkers indicate the pathologic myopia‐associated systemic metabolic reprogramming, which exhibits specificity for myopic macular ...
Ziheng Qi, Jiao Qi, Ye Zhang, Yanhui Wang, Yuchen Feng, Zifan Yang, Yating Wang, Weikang Shu, Dongling Guo, Ching Kang, Keke Zhang, Yi Lu, Jingjing Wan, Xiangjia Zhu   +13 more
wiley   +1 more source

Advanced Brain‐on‐a‐Chip for Wetware Computing: A Review

Advanced Science, EarlyView.
Exploring Low‐Power, Beyond‐Silicon‐Computing Bio‐Computing: Brain‐on‐a‐Chip Technology. This article reviews the applications of Brain‐on‐a‐Chip in Wetware Computing, including in vitro‐cultured brain organoids, microelectrode arrays, electrophysiological interfaces, and microfluidic platforms, as well as data processing methods. It also looks forward
Shangchen Li, Yaoyao Liu, Sihan Hua, Yu Wang, Shutong Sun, Longhui Jiang, Chengji Lu, Juntao Liu, Huaizhang Shi, Pei Wu, Xinxia Cai, Jinping Luo   +11 more
wiley   +1 more source

Globotriaosylceramide Gb3 Influences Wound Healing and Scar Formation by Orchestrating Fibroblast Heterogeneity

Advanced Science, EarlyView.
In superficial second‐degree burn wounds, Gb3 turns on genes related to papillary cells through the FGF2 signaling pathway. This increases the ability of cells to break down fibrin and decreases fibrosis, which ultimately prevents scar formation in burn injuries.
Sujie Xie, Runzhi Huang, Weijin Qian, Xinran Ding, Wei Zhang, Yixu Li, Jianyu Lu, Hanlin Sun, Yifan Liu, Yuntao Yao, Bingnan Lu, Minjuan Wu, Zhaofan Xia, Shizhao Ji   +13 more
wiley   +1 more source

CSGNet: Neural Shape Parser for Constructive Solid Geometry

, 2018
We present a neural architecture that takes as input a 2D or 3D shape and outputs a program that generates the shape. The instructions in our program are based on constructive solid geometry principles, i.e., a set of boolean operations on shape ...
Goyal, Rishabh, Kalogerakis, Evangelos, Liu, Difan, Maji, Subhransu, Sharma, Gopal   +4 more
core   +1 more source

Hardware Implementation of Bayesian Decision‐Making with Memristors

Advanced Electronic Materials, EarlyView.
Lightweight Bayesian operators, implemented by integrating memristors with Boolean logics, exploit the switching stochasticity of the memristors to perform probabilistic data encoding and logic operations that are essential for Bayesian inference and fusion.
Lekai Song, Pengyu Liu, Yang Liu, Jingfang Pei, Wenyu Cui, Songwei Liu, Yingyi Wen, Teng Ma, Kong‐Pang Pun, Leonard W. T. Ng, Guohua Hu   +10 more
wiley   +1 more source

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
wiley   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Systems of Sequential Grammars Applied to Parsing [PDF]

, 2014
Tato práce zkoumá Gramatické systémy jako potenciálně silnější nástroj pro syntaktickou analýzu, nežli obyčejné gramatiky. Hlavním záměrem je aplikace teoretických modelů do praxe, vytvoření syntaktického analyzátoru.
Repík, Tomáš
core  

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source