Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks by Kanchev Neven, Stoyanov Nikolay, Milushev Georgi

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Optimal proprioceptive training combined with rehabilitation regimen for lower limb dysfunction in stroke patients: a systematic review and network meta-analysis by Kaiqi Zheng, Li Li, Yahui Zhou, Xiaokun Gong, Gangbin Zheng, Liang Guo

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Distinct gut microbiota profiles and network properties in older Korean individuals with subjective cognitive decline, mild cognitive impairment, and Alzheimer’s disease by Sang Joon Son, Xuanga Wu, Hyun Woong Roh, Yong Hyuk Cho, Sunhwa Hong, You Jin Nam, Chang Hyung Hong, Sunmin Park

Subjects: “…Cognitive function…”
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Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

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3D-network polymer supported bimetallic γ-Fe2O3/Cu nanoparticles: As a new magnetic nanocomposite for the synthesis of new series functionalized benzodiazepines by Setareh Moradi, Roya Mozafari, Mohammad Ghadermazi

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THE ROLE OF COMMUNICATION NETWORKS IN THE ORGANISATION OF MATERIAL AND TECHNICAL SUPPORT FOR CONSTRUCTION ENTERPRISES by T. K. Abdullaeva, P. A. Aliyeva

Subjects: “…communication networks…”
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Influence of binge drinking on the resting state functional connectivity of university Students: A follow-up study by Samuel Suárez-Suárez, Fernando Cadaveira, Alfonso Barrós-Loscertales, José Manuel Pérez-García, Socorro Rodríguez Holguín, Javier Blanco-Ramos, Sonia Doallo

“…Using a seed-to-voxel approach, RS-FC differences were examined in nodes of the main brain functional networks vulnerable to alcohol misuse, according to previous studies. …”
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Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces by Le Si Phu, Tan N. Nguyen, Miroslav Voznak, Ba Cao Nguyen, Tran Manh Hoang, Bui Vu Minh, Phuong T. Tran

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Polygonatum sibiricum polysaccharides enhance pancreatic β-cell function in diabetic zebrafish by mitigating mitochondrial oxidative damage via the AMPK-SIRT1 pathway by Fan Lin, Wenjing Yu, Wenjing Yu, Ping Li, Ping Li, Shuyao Tang, Yitong Ouyang, Liya Huang, Di Wu, Shaowu Cheng, Shaowu Cheng, Zhenyan Song, Zhenyan Song

“…Behavioral, biochemical, and molecular analyses were performed to assess β-cell function, mitochondrial oxidative damage, and inflammation. …”
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Progress in the Application of Resting-State Functional Magnetic Resonance Imaging in Chronic Nonspecific Low Back Pain by XU Ting, XUE Qin, LYU Ying, TU Jianchun, DAI Dechun

“…Common methods for functional integration mainly include seed-based functional connectivity analysis (SCA), independent component analysis (ICA), and graph theory-based complex brain network analysis. …”
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Comparison of the effects of transcranial direct current stimulation combined with different rehabilitation interventions on motor function in people suffering from stroke-related symptoms: a systematic review and network meta-analysis by Kaiqi Zheng, Liang Guo, Weidong Liang, Pengcheng Liu

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Intrinsic brain mapping of cognitive abilities: A multiple-dataset study on intelligence and its components by Simone Di Plinio, Mauro Gianni Perrucci, Grazia Ferrara, Maria Rita Sergi, Marco Tommasi, Mariavittoria Martino, Aristide Saggino, Sjoerd JH Ebisch

“…This study investigates how functional brain network features contribute to general intelligence and its cognitive components by analyzing three independent cohorts of healthy participants. …”
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Physics‐Informed Neural Networks for Estimating a Continuous Form of the Soil Water Retention Curve From Basic Soil Properties by Sarem Norouzi, Charles Pesch, Emmanuel Arthur, Trine Norgaard, Per Moldrup, Mogens H. Greve, Amélie M. Beucher, Morteza Sadeghi, Marzieh Zaresourmanabad, Markus Tuller, Bo V. Iversen, Lis W. deJonge

“…Abstract This paper presents a novel physics‐informed neural network (PINN) approach for developing pedotransfer functions (PTFs) to predict continuous soil water retention curves (SWRCs) based on soil textural fractions, organic carbon content, and bulk density. …”
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The advances in acetylation modification in senescence and aging-related diseases by Maiqi Xu, Wenbin Wang, Saien Lu, Mengyao Xiong, Tong Zhao, Yao Yu, Chunyu Song, Jinjing Yang, Naijin Zhang, Liu Cao, Guozhe Sun, Sichong Chen, Sichong Chen, Pengbo Wang

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Chitosan oligosaccharide and Enteromorpha prolifera polysaccharides as additives affect the bacterial community and optimize the compost performance by Xingsheng Yin, Shutong Chen, Guangcai Shen, Guangfu Zhang, Guangyun Meng, Siman Gao, Hui Yao, Hui Yao, Xiangwei You, Xiangwei You, Yiqiang Li, Yiqiang Li

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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

Subjects: “…Convolutional neural network…”
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Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias by Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan

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A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications by Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho

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Quantifying the impacts of right-turn-on-red, exclusive turn lanes, and pedestrian movements on the efficiency of urban transportation networks by Hao Liu, Zecheng Xiong, Vikash V. Gayah

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Altered brain network centrality in patients with cervical spondylotic myelopathy: insights from resting-state fMRI by Kaifu Wu, Hui Zheng, Yan Jiang, Shutong Zhang, Xiang Wang

“…ObjectiveTo investigate the characteristics of brain network centrality in patients with cervical spondylotic myelopathy (CSM) by using degree centrality (DC) based on resting-state functional magnetic resonance imaging.MethodsWe recruited 20 patients with CSM, along with 20 healthy controls (HC) who were matched in terms of age, gender, and educational background. …”
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