Vascular Transdifferentiation in the CNS: A Focus on Neural and Glioblastoma Stem-Like Cells by Sophie Guelfi, Hugues Duffau, Luc Bauchet, Bernard Rothhut, Jean-Philippe Hugnot

“…Transdifferentiation of nontumoral neural stem cells into vascular cells has also been described and conversely vascular cells may generate neural stem cells. …”
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Neural Terminal Sliding-Mode Control for Uncertain Systems with Building Structure Vibration by Jianhui Wang, Wenli Chen, Zicong Chen, Yunchang Huang, Xing Huang, Wenqiang Wu, Biaotao He, Chunliang Zhang

“…To address this problem, a neural terminal sliding-mode control method is proposed. …”
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THE NEW NORMAL" IN THE CONTEXT OF BUILDING A SOCIETY OF «MODERATE PROSPERITY» IN MODERN CHINA by M. Romanenko, Y. Xu

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PANDEMİ SONRASI KENT: GÖLLER BÖLGESİ ÖRNEKLEMİNDE YENİ NORMAL KENT ALGISI by Nilüfer Negiz, Pınar Savaş Yavuzçehre

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A Platoon Dispersion Model Based on a Truncated Normal Distribution of Speed by Ming Wei, Wenzhou Jin, Lvou Shen

“…Assuming that platoon speed follows a truncated normal distribution, ranging from minimum speed to maximum speed, this paper develops a piecewise density function that describes platoon dispersion characteristics as the platoon moves from an upstream to a downstream intersection. …”
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Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks by Hossein Goudarzvand Chegini, Gholamreza Zarepour

“…In this research, neural network models were used to predict the action of sloshing phenomena in a tank containing fluid under harmonic excitation. …”
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Mycotoxins Detection and Fungal Contamination in Black and Green Tea by HPLC-Based Method by K. Pakshir, Z. Mirshekari, H. Nouraei, Z. Zareshahrabadi, K. Zomorodian, H. Khodadadi, A. Hadaegh

“…The fungal contamination and total aflatoxins (AF) and ochratoxin A (OTA) of tea samples were examined. …”
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Wavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural Network by Mingzhu Li, Zhiqian Wang, Jun Luo, Yusheng Liu, Sheng Cai

“…A method to denoise the VPVS is proposed based on the wavelet coefficients thresholding and threshold neural network (TNN). According to the characteristics of VPVS, a novel thresholding function is constructed, and then its optimized threshold is selected through unsupervised learning of TNN. …”
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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions by Hamed Mohammadi, Waldemar Karwowski

Subjects: “…graph neural networks (GNNs)…”
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Infectious bursal disease virus: identification of the novel genetic group and reassortant viruses by L. O. Scherbakova, Ye. V. Ovchinnikova, T. N. Zybina, S. N. Kolosov, N. G. Zinyakov, Z. B. Nikonova, D. B. Andreychuk, I. A. Chvala

Subjects: “…infectious bursal disease virus…”
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Diversity and functions of fungal VOCs with special reference to the multiple bioactivities of the mushroom alcohol by Guohua Yin, Geromy G. Moore, Joan Wennstrom Bennett

“…In this review, we summarise (1) the diversity and functions of different fungal VOCs, (2) the biosynthesis and bioactive characteristics of 1-octen-3-ol, and (3) the use of D. melanogaster as a genetic model to assess the health impacts of fungal VOCs.…”
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A multiobjective continuation method to compute the regularization path of deep neural networks by Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

“…Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures numerical efficiency, improves the interpretability (due to the smaller number of relevant features), and robustness. …”
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Relationship between Cognitive Learning Psychological Classification and Neural Network Design Elements by Xing Yang, Tingjun Yong, Meihua Li, Wenying Wang, Huichun Xie, Jinping Du

“…This article first analyzes the research background of the design elements of cognitive psychology and neural networks at home and abroad, roughly understands the research status and research background of these two courses at home and abroad, and discusses the application of cognitive psychology to neural networks. …”
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Optimalisasi Hyper Parameter Convolutional Neural Networks Menggunakan Ant Colony Optimization by Fian Yulio Santoso, Eko Sediyono, Hindriyanto Dwi Purnomo

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Neural Network L1 Adaptive Control of MIMO Systems with Nonlinear Uncertainty by Hong-tao Zhen, Xiao-hui Qi, Jie Li, Qing-min Tian

“…This control system is comprised of an L1 adaptive controller and an auxiliary neural network (NN) compensation controller. The L1 adaptive controller has guaranteed transient response in addition to stable tracking. …”
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Contributions of Matrix Metalloproteinases to Neural Plasticity, Habituation, Associative Learning and Drug Addiction by John W. Wright, Joseph W. Harding

“…Neural Plasticity…”
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Modeling Comparisons for some Classification Methods, Bayesian, Neural and Traditional Cluster Techniques by Jean-Pierre Lévy Mangin, Juan Antonio Moriano, Normand Bourgault

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High-Performance Inverse Artificial Neural Network Controller for Asynchronous Motor Control by Benyekhlef Kada, Mourad Hebali, Ibrahim Farouk Bouguenna, Benaoumeur Ibari, Menouer Bennaoum

“…These inverse artificial neural networks have been learned from conventional control system (PI controller and vector control) data using MATLAB software. …”
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Neural network as a mirror of social attitudes: analysis of distortions in generative images by A. G. Tertyshnikova, U. O. Pavlova, M. D. Starovoytova

“…The article is devoted to the consideration of neural network generative technologies as a marker of social stereotypes and attitudes. …”
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Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network by Lin Feng, Jian Wang, Chao Ding

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