Pedotransfer function for determining saturated hydraulic conductivity using Artificial Neural Network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan, Jan Kołodziej

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Green’s Function Approach for Simulating District Heating Networks by Ke Xu, Dengxin Ai, Changlong Sun, Yan Qi, Jiaojiao Wang, Fan Yang, Hechen Ren

Subjects: “…Green’s function…”
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Assessment of Pedotransfer Functions for Saturated Hydraulic Conductivity of Anatolian Soils by Gülay Karahan

“…Hydraulic conductivity is an essential base for applied research in soil and water management, landscape, and environmental disciplines. …”
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Anti-obesity functions of fucoidan conducted by bioinformatics and validation findings targeting of autophagy by Jinkai Li, Xiaowei Wan, Yonghang Li, Ping Wang, Jian Chen, Weihua Jin, Jiaqi Liu

“…In this study, the purity, structure, and composition of compounds in fucoidan were characterized by using chemical analysis. Then, we conducted network pharmacology analysis to screen the pharmacological targets and to reveal the molecular mechanisms involved in anti-obesity action of fucoidan through targeting autophagy. …”
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Investigation of white matter functional networks in young smokers by Junxuan Wang, Ting Xue, Daining Song, Fang Dong, Yongxin Cheng, Juan Wang, Yuxin Ma, Mingze Zou, Shuailin Ding, Zhanlong Tao, Wuyuan Xin, Dahua Yu, Kai Yuan

“…Aims: This study investigated the changes in the organizational and intrinsical activities of the white matter functional networks (WMFNs) in young smokers using resting-state functional magnetic resonance imaging. …”
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Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

“…We conducted a Go-NoGo fMRI task with 19 healthy participants to investigate these networks.ResultsOur results identified four functional networks activated during correct motor response inhibition: the salience network (SN), the right and left executive control networks (ECNs), and the ventral default mode network (vDMN). …”
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Network analysis of cognitive function, glycemic–lipid profiles, and hepatic–renal function in individuals with diverse drinking patterns by Shuqi Xu, Shuqi Xu, Shuqi Xu, Shuqi Xu, Ranran Zhao, Ranran Zhao, Ranran Zhao, Jincheng Wang, Jincheng Wang, Jincheng Wang, Xue Yang, Xue Yang, Xue Yang, Lan Wang, Lan Wang, Lan Wang, Cuixia An, Cuixia An, Cuixia An, Xueyi Wang, Xueyi Wang, Xueyi Wang, Ran Wang, Ran Wang, Ran Wang

“…The aim of this study was to investigate the relationships among drinking characteristics, cognitive functions, liver and kidney functions, and glucose and lipid levels in alcohol drinkers through the application of network analysis.MethodWe conducted a stratified random sampling survey of 1,432 male employees in Gaocheng District, Hebei Province, in 2016. …”
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Unveiling functionality and conducting two-sample mendelian randomization on WGCNA-identified oxidative stress-related hub genes in metabolic dysfunction-associated fatty liver dis... by Qian Zhu, Jiaqi Liu, Wuxuan Mei, Changchun Zeng

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Verification on policies for network functions in SDN/NFV-based environment by Haoyu CHEN, Deqing ZOU, Hai JIN

“…Although the newly introduced SDN and NFV technologies bring flexibility and convenience in network management, the dynamic forwarding policies introduced by SDN may cause invalidation in the network function policies, and the policies in different network functions may also cause conflicts due to their own behaviors.In order to verify the policies in SDN/NFV-based cloud network, the verification on policies between the network function and the SDN device, as well as across the network functions were considered.A unified policy expression for analysis was summarized, and policy verification scheme, framework and prototype implementation were proposed to verify the correctness of polices in different scenarios, then experiments were conducted to justify the effectiveness and performance…”
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Transfer function of an asymmetric superconducting Gauss neuron by Fedor A. Razorenov, Aleksander S. Ionin, Nikita S. Shuravin, Liubov N. Karelina, Mikhail S. Sidel’nikov, Sergey V. Egorov, Vitaly V. Bol’ginov

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Glaucoma and brain functional networks: a bidirectional Mendelian randomisation study by Xiaoxiao Chen, Xinghuai Sun, Lian Shu

“…This study aimed to investigate the potential causal relationships between glaucoma and brain functional networks in order to provide novel insights into the neuropathic mechanism of glaucoma.Methods and analysis Based on the genome-wide association studies data of glaucoma and resting-state functional MRI (Rs-fMRI), a bidirectional Mendelian randomisation (MR) analysis was conducted between glaucoma and brain functional networks. …”
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Functional conduction system mapping in sheep reveals Purkinje spikes in the free wall of the right ventricular outflow tract by Michiel Blok, Michiel Blok, Bram L. den Ouden, Bram L. den Ouden, Marion Kuiper, Daan R. M. G. Ophelders, Daan R. M. G. Ophelders, Monique R. M. Jongbloed, Monique R. M. Jongbloed, Stef Zeemering, Bjarke Jensen, Arne van Hunnik, Bastiaan J. Boukens, Bastiaan J. Boukens

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THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS by V. N. Ageyev

“…One of the problems in the development of the ANN is the choice of an appropriate activation function for neurons of the hidden layer and adjusting the parameters of the function in the learning process of the network. …”
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Cellulose Functional Gels: Physical Design and Promising Applications by Minxin Wang, Geyuan Jiang, Xiaoyu Guo, Suqing Zeng, Dawei Zhao

“…Additionally, structural design and self‐assembly of cellulose at the molecular level can endow cellulose gels with diverse functions, such as stretchability, high toughness, ionic conductivity, and self‐healing ability. …”
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Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting by Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, Fazirulhisyam Hashim, Mohd Zainal Abidin Ab Kadir

“…This study evaluates the performance of various activation functions within DRN models, focusing on their impact on predictive precision and generalization. …”
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Paramounts of Intent-based Networking: Overview by Martins Mihaeljans, Andris Skrastins, Jurgis Porins

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Critical Function Placement based on Service Chains in Multi-administrative Federated Networks by Dariusz Nogalski, Dallal Belabed, Alexandre Triollet, Konstanty Junosza-Szaniawski, Slim Abdellatif, Pascal Berthou, Stanislas Pedebearn, Adam Dudko

“…Although the Service Function Chains (SFCs) embedding problem is broadly investigated in the literature, few works address it in a sliced multi-administrative network federation. …”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…Recent studies have attempted to enhance detection performance through multimodal information fusion, yet they largely overlook the impact of functional connectivity among multimodal signals. To address this limitation, we propose a novel multimodal fatigue classification framework integrating electroencephalogram (EEG) and electrocardiogram (ECG) signals. …”
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Changes in cerebrovascular reactivity within functional networks in older adults with long-COVID by Jessica M. Pommy, Alexander Cohen, Amarpreet Mahil, Laura Glass Umfleet, Sara J. Swanson, Malgorzata Franczak, Shawn Obarski, Kelly Ristow, Yang Wang, Yang Wang, Yang Wang

“…A subject-specific approach, Distribution-Corrected Z-scores (DisCo-Z), was used.ResultsAnalyses revealed the long-COVID group demonstrated significantly greater incidence of extreme CVR clusters within the brain (>100 voxels) and within functional networks thought to drive attention and executive function. …”
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Characterizing the functioning of the attentional networks in state and trait anxiety: the role of affective information by Antonia Pilar Pacheco-Unguetti, Antonia Pilar Pacheco-Unguetti, Alberto Acosta, Alberto Acosta, Juan Lupiáñez, Juan Lupiáñez

“…IntroductionThe aim of the present research was to examine the role of affective information in the functioning of attentional networks in individuals with high vs. low trait or state anxiety. …”
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