Results 101 to 110 of about 3,935,477 (223)

Spectral Feature Selection for Supervised and Unsupervised Learning

, 2007
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied separately according to the type of learning: supervised or unsupervised ...
Huan Liu, Zheng Zhao
core   +1 more source

Sex‐ and Time‐Resolved Physiological and Gut Ecosystem Responses to a Food‐Grade Microbiome‐Targeted Intervention in Collegiate Endurance Athletes

Advanced Science, EarlyView.
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang, Le Ge, Kaiyang Liu, Yanrong Liu, Guolin Zhao, Lai‐Yu Kwok, Zheng Sun, Zhihong Sun, Wenyi Zhang   +8 more
wiley   +1 more source

Unsupervised Band Selection and Segmentation in Hyper/Multispectral Images

, 2008
The title of the thesis focuses the attention on hyperspectral image segmentation, that is, we want to detect salient regions in a hyperspectral image and isolate them as accurate as possible. This purpose presents two main problems: Firstly, the fact of using hyperspectral imaging not only give us a huge amount of information, but we also have to face
openaire   +12 more sources

The GPX3‐VCAM1 Axis Gates Pro‐Fibrotic Tubule Cell Fate in Hyperuricemic Nephropathy

Advanced Science, EarlyView.
Hyperuricemia induces NLRP3 inflammasome signaling activation and downregulation of GPX3 in proximal tubular epithelial cells, leading to oxidative stress–driven VCAM1 upregulation, emergence of pro‐fibrotic proximal tubule cells, macrophage recruitment, and renal fibrosis.
Yunfei Qi, Qiang Zhao, Yue Lve, Yaming Yuan, Tingting Zhou, Yue Yuan, Dexi Wu, Yifan Tang, Yan Liu, Zhigang Li, Chunping Jiang, Qiurong Ding   +11 more
wiley   +1 more source

Rapid FTIR Spectral Fingerprinting of Kidney Allograft Perfusion Fluids Distinguishes DCD from DBD Donors: A Pilot Machine Learning Study

Metabolites
Background/Objectives: Rapid, objective phenotyping of donor kidneys is needed to support peri-implant decisions. Label-free Fourier-transform infrared (FTIR) spectroscopy of static cold-storage Celsior® perfusion fluid can discriminate kidneys recovered
Luis Ramalhete, Rúben Araújo, Miguel Bigotte Vieira, Emanuel Vigia, Ana Pena, Sofia Carrelha, Anibal Ferreira, Cecília R. C. Calado   +7 more
doaj   +1 more source

Optimal Clustering Framework for Hyperspectral Band Selection

, 2018
Band selection, by choosing a set of representative bands in a hyperspectral image, is an effective method to reduce the redundant information without compromising the original contents.
Fahong Zhang, Wang, Qi, Li, Xuelong, Qi Wang, Zhang, Fahong, Xuelong Li   +5 more
core   +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

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

Advanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling, Ayşe Tuğçe Şahin, Bernardo Miller Naranjo, Stefano Aime, Doris Roth, Anna Pukaluk, Niels Tepho, Romina Augustin, Benedetta Zampa, Andrea S. Vendrame, Mark‐Christian Klassen, Ellen Emken, Marion Kiechle, Mircea Gabriel Stoleriu, Pontus Mertsch, Ruth Olmer, Yohannes Tesfaigzi, Oliver Lieleg, Janna C. Nawroth   +18 more
wiley   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

Advanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang   +6 more
wiley   +1 more source

PLXDC2 siRNA‐Mediated Intervention Attenuates Microglial Senescence Through cGAS‐STING Signaling

Advanced Science, EarlyView.
PLXDC2 was identified as a microglial target in Parkinson's disease through human and mouse single‐cell analyses. Ferritin‐armed biomimetic nanovesicles delivered PLXDC2 siRNA, deferoxamine, and CeO2 nanoparticles across the blood–brain barrier, reducing cGAS‐STING activation, iron burden, oxidative stress, and senescence in microglia, thereby ...
Heyue Lu, Zitian Zheng, Feiran Wang, Huanhuan Luo, Fei Ju, Yucheng Zhu, Zheng Zhou, Jie Sun, Zhenghui Qiu, Xiang Luo, Zhongzheng Jia, Jianquan Wang, Hongjie Huang, Bo Zhang   +13 more
wiley   +1 more source