Role of Brain Networks in Burning Mouth Syndrome: A Narrative Review by Takahiko Nagamine

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Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction by Derya Dursun, Ali Çoşkun Dalgıç

“…Predicted response results of response surface methodology (RSM) and radial basis function-neural network (RBF-NN) were compared in order to evaluate the accuracy of two methodologies on non-linear behavior of the astaxanthin bioproduction. …”
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The impact of exercise therapy on rehabilitation outcomes after anterior cruciate ligament reconstruction: a network meta-analysis by Zhaojin Zhong, Wenzhi Guo, Qizhou Gu, Tao Pang, Liangfa Li, Anying Hao

“…Data were analyzed using network meta-analysis in Stata 17.0. Results A total of 38 RCTs were included, with 31 studies evaluating quadriceps strength, 18 assessing hamstring strength, and 19 focusing on knee joint function. …”
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Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder. by Benjamin T Newman, Zachary Jacokes, Siva Venkadesh, Sara J Webb, Natalia M Kleinhans, James C McPartland, T Jason Druzgal, Kevin A Pelphrey, John Darrell Van Horn, GENDAAR Research Consortium

“…We conclude that ASD may be characterized by otherwise intact structural connectivity but that functional connectivity may be attenuated by network properties affecting neural transmission speed. …”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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Recent Advances in Liquid Metal-Based Stretchable and Conductive Composites for Wearable Sensor Applications by Boo Young Kim, Wan Yusmawati Wan Yusoff, Paolo Matteini, Peter Baumli, Byungil Hwang

“…These systems offer enhanced electrical and mechanical properties and can form conductive networks without the need for additional sintering processes. …”
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Facile construction of polyoxometalate-modified polyaryletherketone-based hybrid membranes with enhanced proton conductivity by Bo Hu, Qiuchen Du, Yang Yang, Dengdeng Li, Jiawang Fu, Bailing Liu, Hong-Ying Zang, Yangguang Li, Haiming Xie, Zhongmin Su

“…Polyoxometalates (POMs), a type of solid-state nanoclusters, possess high proton conductivity and good structural stability, making them suitable functional inorganic fillers to improve the performance of PEMs. …”
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Functional interface layer for a high-performance self-rectifying memristive device using hafnium-zirconia thin film by Se Yeon Jeong, Jaeho Jung, Hyun Kyu Seo, Jae-Seung Jeong, June Hyuk Lee, Gun Hwan Kim, Min Kyu Yang

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Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

“…Abstract The constitutive relations of the Richardson‐Richards equation encode the macroscopic properties of soil water retention and conductivity. These soil hydraulic functions are commonly represented by models with a handful of parameters. …”
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Adaptive Nonlinear Proportional–Integral–Derivative Control of a Continuous Stirred Tank Reactor Process Using a Radial Basis Function Neural Network by Joo-Yeon Lee, Gang-Gyoo Jin, Gun-Baek So

“…The nonlinear gain that dynamically scales the error fed to the integrator is enhanced for optimized performance. The network’s ability to approximate nonlinear functions and its online learning capabilities are leveraged by effectively integrating an NPID control scheme with a radial basis function neural network (RBFNN). …”
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Efficient angle-aware coverage control for large-scale 3D map reconstruction using drone networks by Muhammad Hanif, Takumi Shimizu, Lu Zhiyuan, Masaya Suenaga, Takeshi Hatanaka

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Altered static and dynamic functional connectivity in major depressive disorder accompanied by high anxiety: evidence from the REST-meta-MDD consortium by Lujun Li, Zhijun Zeng, Yaling Zhou, Jinfei Lin, Jiayuan Li

“…Large-scale static and dynamic functional connectivity analyses were conducted to identify specific brain connectivity distinguishing MDD with low and high anxiety symptoms.ResultsWhile MDD patients with high and low anxiety symptoms exhibit overlapping alterations in dynamic functional connectivity between the auditory cortex and nodes of the salience network, their distinct clinical profiles may be associated with differential functional connectivity patterns between the components of the default mode network (DMN) and the visual network (VN), as well as between the components of the basal ganglia network (BGN) and VN.ConclusionThe VN–DMN–BGN functional circuit may help elucidate the underlying pathological mechanisms associated with varying levels of anxiety in depressive disorders. …”
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Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns by Linnea Hoheisel, Linnea Hoheisel, Hannah Hacker, Gereon R Fink, Gereon R Fink, Silvia Daun, Silvia Daun, Joseph Kambeitz, Joseph Kambeitz

“…Functional connectivity (FC) is a widely used indicator of brain function in health and disease, yet its neurobiological underpinnings still need to be firmly established. …”
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Optimizing GNN Architectures Through Nonlinear Activation Functions for Potent Molecular Property Prediction by Areen Rasool, Jamshaid Ul Rahman, Quaid Iqbal

“…Recently, Graph Neural Networks (GNNs) have emerged as powerful tools for this purpose, demonstrating significant potential in modeling molecular data. …”
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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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Clinical efficacy and regulatory mechanisms of Shi Pi Zeng Ye formula in treating functional constipation comorbid with depression: integrating clinical observation, mass spectrome... by Ling Yao, Xiaoqiang Jia, Yufei Li, Haixia Li, Zhuhui Zhang, Longfang Quan, Qiuling Liu, Jie Dai, Xuedi Lei, Huashang Li, Yonghai Li

“…Ethnopharmacological relevanceThe Shi Pi Zeng Ye Formula (SPZY), a traditional Chinese herbal compound, is empirically used for qi and yin replenishment and has been prescribed for managing functional constipation (FC) comorbid with depression. …”
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Impact of combined art-based intervention on functional connectivity of multiple brain networks in older adults along the cognitive continuum: result from a parallel randomised con... by Yuan-Jiao Yan, Rong Lin, Yu-Ting Luo, Chen-Shan Huang, Wen-Chao Cai, Jia-Wei Su, Sheng-Mei Lin, Mo-Jun Lin, Hong Li

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The G4 resolvase Dhx36 modulates cardiomyocyte differentiation and ventricular conduction system development by Pablo Gómez-del Arco, Joan Isern, Daniel Jimenez-Carretero, Dolores López-Maderuelo, Rebeca Piñeiro-Sabarís, Fadoua El Abdellaoui-Soussi, Carlos Torroja, María Linarejos Vera-Pedrosa, Mercedes Grima-Terrén, Alberto Benguria, Ana Simón-Chica, Antonio Queiro-Palou, Ana Dopazo, Fátima Sánchez-Cabo, José Jalife, José Luis de la Pompa, David Filgueiras-Rama, Pura Muñoz-Cánoves, Juan Miguel Redondo

“…These findings further identify crucial genes and pathways that regulate the development and function of the VCS/Purkinje fiber (PF) network.…”
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Comparative efficacy of acupuncture for chronic low back pain: A network meta-analysis by Feng Gao, Dongming Jia, Shengxia Xue

“…Pain intensity and functional improvement were analyzed using a Bayesian framework. …”
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Unraveling yield heterosis in Chinese cabbage hybrid by comparative transcriptomic analysis and LHCB1 gene function analysis by Ruihua Wang, Min Han, Taili Han, Ligong Xu, Yuanyuan Li

“…The weighted gene coexpression network analysis and virus-induced gene silencing technology were employed to assess the key gene function in yield advantage formation of the Chinese cabbage hybrid.ResultsIn total, 3652 and 2768 genes were differentially expressed between the Chinese cabbage hybrid and its parents in the rosette and mature stages, respectively. …”
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