Change of Neural Connectivity of the Red Nucleus in Patients with Striatocapsular Hemorrhage: A Diffusion Tensor Tractography Study by Sung Ho Jang, Hyeok Gyu Kwon

“…Neural Plasticity…”
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A stochastic artificial neural network model for investigating street vendor behavior in a night market by Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao

“…This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model. …”
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An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions by Sehmus Fidan, Hasan Oktay, Suleyman Polat, Sarper Ozturk

“…Then, the Levenberg–Marquardt algorithm was used for training the neural network in the single hidden layer using 5, 10, 15, 20, and 25 neurons, respectively. …”
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Hawking Radiation-Quasi-Normal Modes Correspondence and Effective States for Nonextremal Reissner-Nordström Black Holes by C. Corda, S. H. Hendi, R. Katebi, N. O. Schmidt

“…It is known that the nonstrictly thermal character of the Hawking radiation spectrum harmonizes Hawking radiation with black hole (BH) quasi-normal modes (QNM). This paramount issue has been recently analyzed in the framework of both Schwarzschild BHs (SBH) and Kerr BHs (KBH). …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

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Hybrid Adaptive Pinning Control for Function Projective Synchronization of Delayed Neural Networks with Mixed Uncertain Couplings by T. Botmart, N. Yotha, P. Niamsup, W. Weera

“…This paper presents the function projective synchronization problem of neural networks with mixed time-varying delays and uncertainties asymmetric coupling. …”
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Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network by S. Karthiyaini, K. Senthamaraikannan, J. Priyadarshini, Kamal Gupta, M. Shanmugasundaram

“…The present study is to compare the multiple regression analysis (MRA) model and artificial neural network (ANN) model designed to predict the mechanical strength of fiber-reinforced concrete on 28 days. …”
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Pharmacological Inhibition of Glutaminase 1 Normalized the Metabolic State and CD4+ T Cell Response in Sjogren’s Syndrome by Jiayao Fu, Yiping Pu, Baoli Wang, Hui Li, Xiujuan Yang, Lisong Xie, Huan Shi, Zhijun Wang, Junhao Yin, Tianle Zhan, Yanxiong Shao, Changyu Chen, Qi Luo, Jiabao Xu, Zirui Zong, Xindi Wei, Wanwen Xiao, Chuangqi Yu, Lingyan Zheng

“…Pharmacological inhibition of Gls1 with BPTES could normalize the effector functions of CD4+ T cells and effectively attenuate the symptoms of SS.…”
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Perbedaan Rerata Kadar Profil Lipid pada Preeklampsia dengan Kehamilan Normal pada Etnik Minangkabau by Helen Evelina Siringoringo, Yusrawati ., Eva Chundrayetti Chundrayetti

“…Jurnal Kesehatan Andalas…”
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Sistem Rekognisi Citra Digital Bahasa Isyarat Menggunakan Convolutional Neural Network dan Spatial Transformer by Mohammad Alfiano Rizky Mahardika, Novanto Yudistira, Achmad Ridok

Subjects: “…Convolutional Neural Network…”
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Research on Ethanol Coupling to Prepare C4 Olefins Based on BP Neural Network and Cluster Analysis by Sheng-Mei Zhang, Wen-Li Zhan, Han Hu, Yu-Shu Liu, Jia-Ming Zhu

“…Finally, according to the three-dimensional spatial visualization analysis and using the BP neural network model training data, we obtain that under the conditions of using loading method I, catalyst combination type 200 mg 0.5 wt% Co/SiO2-200 mg HAP-ethanol concentration 0.9 ml/min and temperature 450°C, the yield of C4 olefins can reach the maximum. …”
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Effects of Renal Denervation via Renal Artery Adventitial Cryoablation on Atrial Fibrillation and Cardiac Neural Remodeling by Wei Wang, Zhaolei Jiang, Rongxin Lu, Hao Liu, Nan Ma, Jie Cai, Min Tang, Ju Mei

“…RDN via RAAC could cause cardiac neural remodeling and effectively inhibit AF inducibility and shorten AF duration. …”
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Dielectric spectroscopy and TD-NMR investigation for assessing water solid dynamics in normal and wooden breast chicken by Francesca Soglia, Eleonora Iaccheri, Luca Laghi, Luigi Ragni, Pedro José Fito Suñer, Massimiliano Petracci

“…Dielectric Spectroscopy (DS) and TimeDomain-Nuclear Magnetic Resonance (TD-NMR) were exploited to investigate water and solid dynamics in chicken's Pectoralis major muscles having macroscopically normal appearance (N) and affected by Wooden Breasts (WB) abnormality. 147 PMM were collected and classified as macroscopically normal (N) (N=74) or Wooden Breast (WB) (N=73) based on their visual appearance and manual palpation. …”
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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network by Leixia Tian, Qi Wang, Zhiheng Zhou, Xiya Liu, Ming Zhang, Guiying Yan

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Potential transmission test of GP25 vaccine in normal flora bacteria of common carp culture media by Sri Nuryati, , Alimuddin, Ayu Dhita Juliadiningtyas

“…Jurnal Akuakultur Indonesia…”
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Determining the Temporal and Spatial Effects of Human Induced Interventions on Some Water Quality Parameters of Murgul Creek by Şenol Osmanaoğlu, Mehmet Özalp

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Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network by Tao Gan, Yulin Yang, Shuaicheng Liu, Bing Zeng, Jinlin Yang, Kai Deng, Junchao Wu, Li Yang

“…We sought to develop an artificial intelligence system with a convolutional neural network (CNN) to automatically detect hookworms in CE images. …”
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Differences in gene expression profile between vocal cord Leukoplakia and normal larynx mucosa by gene chip by Jianhua Peng, He Li, Jun Chen, Xianming Wu, Tao Jiang, Xiaoyun Chen

“…Conclusions Our results revealed that many lncRNAs were differentially expressed between vocal cord leukoplakia tissues and normal tissue, suggesting that they may play a key role in vocal cord leukoplakia tumorigenesis.…”
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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model by Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou

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A Comparative Study of Three Pre-trained Convolutional Neural Networks in the Detection of Violence Against Women

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