Results 271 to 280 of about 1,278,153 (338)

Fault Diagnosis of a Bogie Gearbox Based on Pied Kingfisher Optimizer-Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Improved Multi-Scale Weighted Permutation Entropy, and Starfish Optimization Algorithm-Least-Squares Support Vector Machine. [PDF]

Entropy (Basel)
Zhang G, Ma S, Wang X.
europepmc   +1 more source

Histological Studies on Water Absorption of Rice Kernel : 1. The relation between the physical absorption of water and the kernel tissue.

, 1962
Yosihiro TANDA
openalex   +2 more sources

Comprehensive Genetic Map of Muscle Lipidome Reveals Novel Insights Into Flavor Variation in Ruminant Meat

Advanced Science, EarlyView.
Ruminant meat is widely appreciated for its distinctive flavor. Lipids play a central role in influencing meat flavor, yet their genetic and biochemical basis remains largely unexplored. Here, a comprehensive lipid genetic map of sheep muscle is constructed and 20 candidate genes potentially modulating lipid levels are identified to provide a roadmap ...
Xueying Zhang, Yuanyuan Kong, Jialei Chen, Ran Li, Zhongyu Wang, Yali Song, Tianshu Dai, Yuxin Fu, Beixiang Jiang, Jize Zeng, Shengwei Pei, Yangkai Liu, Qianjie Feng, Weiwei Fu, Zehu Yuan, Joram Mwashigadi Mwacharo, Fadi Li, Xiangpeng Yue   +17 more
wiley   +1 more source

Segmentation of partial least squares structural equation modelling using kernel K-means clustering (PLS SEM KKC). [PDF]

MethodsX
Astuti CC, Otok BW, Andari S.
europepmc   +1 more source

Hyperelastic Starch Hydrogel Configures Edible and Biodegradable All‐Components for Soft Robots

Advanced Science, EarlyView.
Hyperelastic starch hydrogel is tailored via a phase separation strategy of solvent‐antisolvent co‐modulation. The mechanical performance of starch hydrogel is widely tuned with maximum strains: 194.4–361.4%; maximum tensile stresses: 34–192 kPa; and Young's moduli: 36.0–205.8 kPa. Notably, the hydrogel achieves complete soil degradation within 24 days
Siyu Yao, Haohao Hu, Mengfan Zhang, Qingqing Zhu, Donghong Liu, Shaoxing Qu, Guoyong Mao, Enbo Xu   +7 more
wiley   +1 more source

An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection. [PDF]

Bioinformatics
Zhang S, Ren J, Liang Y.
europepmc   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source

Thinned and Welded Silver Nanowires for Intelligent Pressure and Humidity Sensing Enabled by Machine Learning

Advanced Science, EarlyView.
Thinned and welded silver nanowires are prepared by selectively engineering their morphology and structure. The resulting films show enhanced optical, electrical, thermal, and mechanical properties. By incorporating machine learning, the developed pressure and humidity sensors are able to accurately identify finger pressing behaviors, monitor human ...
Jiajun Fan, Tao Wan, Tao Yin, Ziheng Feng, Peiyuan Guan, Tianxu Huang, Chao Liu, Mengyao Li, Shuying Wu, Shuhua Peng, Shihao Huang, Zhaojun Han, Dongchen Qi, Wenlong Cheng, Dewei Chu   +14 more
wiley   +1 more source

Brain-wide representations of prior information in mouse decision-making. [PDF]

Nature
Findling C, Hubert F, International Brain Laboratory, Acerbi L, Benson B, Benson J, Birman D, Bonacchi N, Buchanan EK, Bruijns S, Carandini M, Catarino JA, Chapuis GA, Churchland AK, Dan Y, Davatolhagh F, DeWitt EEJ, Engel TA, Fabbri M, Faulkner MA, Fiete IR, Freitas-Silva L, Gerçek B, Harris KD, Häusser M, Hofer SB, Hu F, Huntenburg JM, Khanal A, Krasniak C, Langdon C, Langfield CA, Latham PE, Lau PYP, Mainen Z, Meijer GT, Miska NJ, Mrsic-Flogel TD, Noel JP, Nylund K, Pan-Vazquez A, Paninski L, Pillow J, Rossant C, Roth N, Schaeffer R, Schartner M, Shi Y, Socha KZ, Steinmetz NA, Svoboda K, Tessereau C, Urai AE, Wells MJ, West SJ, Whiteway MR, Winter O, Witten IB, Zador A, Zhang Y, Dayan P, Pouget A.   +61 more
europepmc   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source