An application of potential function in robot path planning and three optimized formulas for equivalent resistance by Jianwei Dai, Xiaoyu Jiang, Yanpeng Zheng, Xing Zhang, Zhaolin Jiang

“…The study proposed an innovative path planning algorithm based on the potential function of a special case of the cobweb resistor network, addressing the path planning problem in globe environments with obstacles. …”
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Evolutionary Dynamics and Functional Conservation of <i>amh</i> Signaling in Teleost Lineages by Lingqun Zhang, Qingke Zhang, Kai Hu, Wei Lu, Weigang Li, Fengchi Wang, Jie Cheng

“…A weighted gene co-expression network analysis further uncovered strong species-specific functional interactions between <i>amh</i> signaling components and genes of germ-cell development, the meiotic process, etc. …”
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Modeling and Neural Network Approximation of Asymptotic Behavior for Delta Fractional Difference Equations with Mittag-Leffler Kernels by Pshtiwan Othman Mohammed, Muteb R. Alharthi, Majeed Ahmad Yousif, Alina Alb Lupas, Shrooq Mohammed Azzo

“…Numerical experiments are conducted to illustrate the qualitative features of the solution. …”
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Analysis of CYP701A1 genes in gossypium species and functional characterization through gene silencing by Zhao Liang, Di Jiachun, Guo Qi, Xu Zhenzhen, Zhao Jun, Xu Peng, Xu Jianwen, Liu Jianguang, Shen Xinlian, Chen Xusheng

“…The study provided insights into the function and regulatory network of the gene.…”
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An Economic Model for Creating a Network Enterprise Architecture by A. А. Bryzgalov, Yu. F. Telnov

“…In order to obtain an economic model for creating the architecture of a network enterprise, a method of functional and cost estimation in the process of dynamic changes in the value chain is proposed.Results. …”
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Calculation Method of IGBT Junction Temperature Based on Heat Conduction Model by Xin CHEN, Yiming WANG, Peng WANG

“…Aiming at the problem that the junction temperature of IGBT chip is difficult to measure directly, a calculation method of IGBT junction temperature based on heat conduction model was proposed. The heat conduction model of the converter was established based on the classic Cauer RC network structure; the parameter identification of the heat conduction model of the converter was completed by combining the concept of transfer function and the structure of heat conduction model; the real-time power loss of the IGBT was calculated by consulting the IGBT product manual and the actual working conditions; finally, the simulation calculation was carried out by MATLAB/Simulink, and the real-time junction temperature of IGBT chip on the converter was obtained. …”
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How Does the Scale and Functional Diversity of the Innovation Cooperation Network Affect Local Innovation? Township-Level Evidence from Beijing by Jingxin Nie, Tiantian Li, Tianming Zheng

“…Research highlights the role of scale and functional diversity in the ICN. It emphasizes that local governments need to conduct more precise management and adjustments in light of the heterogeneity of network connections in different scales and sectors within the ICN, in order to boost local innovation and foster regional development.…”
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Effects of exercise modalities on physical function and quality of life in patients with heart failure: A systematic review and network meta‐analysis by Jiang‐Ying Li, Lu Chen, Qiu‐Chen Wang, Jian Zhu, Zhen‐Qing Ren, Li‐Chun Wang

“…Methods and results A network meta‐analysis was conducted by searching PubMed, Embase and the Cochrane Library databases. …”
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Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial by Yahui Wang, Mengxin Lu, Ruoyi Liu, Liping Wang, Yue Wang, Lingling Xu, Kang Wu, Chen Chen, Tianzhu Chen, Xinyue Shi, Kuangshi Li, Yihuai Zou

“…But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic functional network connectivity (dFNC) after ischemic stroke. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…Distribution networks have faced significant efficiency and reliability challenges, balancing the recent integration of electric vehicles (EVs) and renewable distributed generators (DGs). …”
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A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis by Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho

“…However, in the case of higher-order neural network multi-stage radial basis function network is predicting better than single stage radial basis function network. …”
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Comparing machine learning approaches for estimating soil saturated hydraulic conductivity. by Ali Akbar Moosavi, Mohammad Amin Nematollahi, Mohammad Omidifard

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”
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Polymer Composites Containing Ionic Liquids: A Study of Electrical Conductivity by Ahmad Adlie Shamsuri, Siti Nurul Ain Md. Jamil, Mohd Zuhri Mohamed Yusoff, Khalina Abdan

“…The addition of ionic liquids into polymer composites represents a new method to enhance their functional properties, particularly in terms of electrical conductivity. …”
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Vehicle spatial and time trajectory filling based on dynamic road network by Ruojian Li, Hongsheng Qi

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Investigating the effect of loss functions on single-image GAN performance by Eyyup YİLDİZ, Mehmet Erkan YUKSEL, Selcuk SEVGEN

“…However, exploring the factors that influence the success of GAN models developed for limited data problems is an important area of research. In this study, we conducted a comprehensive investigation into the loss functions commonly used in GAN literature, such as binary cross entropy (BCE), Wasserstein generative adversarial network (WGAN), least squares generative adversarial network (LSGAN), and hinge loss. …”
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Analytical finite-integral-transform and gradient-enhanced machine learning approach for thermoelastic analysis of FGM spherical structures with arbitrary properties by Palash Das, Dipayan Mondal, Md. Ashraful Islam, Md. Abdullah Al Mohotadi, Prokash Chandra Roy

Subjects: “…Gradient- enhanced physics-informed neural network…”
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Efficacy of psychosocial interventions on social functioning in individuals with childhood maltreatment experiences: a protocol for a systematic review and network meta-analysis by Natalia E. Fares-Otero, Silvia Amoretti, Brisa Solé, Sarah L. Halligan, Eduard Vieta, Stefan Leucht, Soraya Seedat, Mathias Harrer

“…Background: Several psychosocial interventions have shown promising effects in treating people affected by childhood maltreatment (CM); however, their comparative efficacy on social functioning remains largely unknown. To address this issue, a systematic review and network meta-analysis (NMA) will be conducted to investigate the comparative efficacy of different psychosocial interventions on global social functioning and specific domains of social functioning, including behavioural, emotional, cognitive and physiological processes. …”
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Longitudinal alterations in morphological brain networks and cognitive function in common-type COVID-19: a 3-month follow-up study by Ying Liu, Ying Liu, Bei Peng, Haixia Qin, Kaixuan Zhou, Shihuan Lin, Yinqi Lai, Lingyan Liang, Gaoxiong Duan, Xiaocheng Li, Xiaoyan Zhou, Yichen Wei, Qingping Zhang, Jinli Huang, Yan Zhang, Jiazhu Huang, Ruijing Sun, Sijing Tuo, Yuxin Chen, Demao Deng

“…PurposeTo investigate the morphological network and cognitive function of patients with common-type coronavirus disease 2019 (COVID-19) during the acute phase, and examine dynamic changes at 3-month follow-up.MethodsAt baseline, high-resolution T1-weighted imaging was conducted in 35 patients with COVID-19 and 40 healthy controls; 22 patients were reassessed at 3 months. …”
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Resting‐State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross‐Sectional Study by Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

“…Regions of interest (ROI)‐to‐ROI connectivity analysis was conducted for cortical sensorimotor network (SMN) (cortical SMN), SMN with both cortical and subcortical ROIs (SMN), and default mode network (DMN). …”
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Attention Performance and Altered Amplitude of Low-frequency Fluctuations in the Attention Network of Patients with MCI: A Resting-state Functional MRI Study by Jia Luo, Yi Zeng, Yuwei Ye, Yiping Xiao, Qiurong Xie, Jijing Zhang, Weilin Cai, Huanyun Xu, Shengxiang Liang, Jia Huang

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