The Exercising Brain: Changes in Functional Connectivity Induced by an Integrated Multimodal Cognitive and Whole-Body Coordination Training by Traute Demirakca, Vita Cardinale, Sven Dehn, Matthias Ruf, Gabriele Ende

“…The CONN toolbox was used to conduct several seed-to-voxel analyses. We searched for functional connectivity increases between brain regions expected to be involved in the exercises. …”
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Spatial Patterns and Functioning of Water Springs in the Sacred Landscape Structure: The Case of Lviv and Volyn Oblasts of Ukraine by Olena Mishchenko, Valerii Petlin, Serhii Puhach

“… Sacred springs are significant among water sources, as they serve not only natural functions but also social ones, fulfilling the spiritual needs of residents and pilgrims. …”
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Trajectory Tracking Control Based on Visual Localization and Adaptive Radial Basis Function Sliding Mode Control by Hung-Yih Tsai, Shih-Min Liao, Chang-Hong Liu

“…An Adaptive Radial Basis Function Sliding Mode Control (ARBFSMC) strategy is further employed to enhance the robustness of trajectory tracking. …”
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Spatial Patterns and Functioning of Water Springs in the Sacred Landscape Structure: The Case of Lviv and Volyn Oblasts of Ukraine by Olena Mishchenko, Valerii Petlin, Serhii Puhach

“… Sacred springs are significant among water sources, as they serve not only natural functions but also social ones, fulfilling the spiritual needs of residents and pilgrims. …”
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Morc4 is a novel functional gene associated with lipid metabolism in BXD recombinant inbred population by Zhanyi Yang, Jiaai Xu, Xiaoyu Yang, Pengcheng Yi, Jian Ruan, Yingying Wu, Yushan Li, Geng Tian, Fuyi Xu, Jia Mi, He Li, Chunhua Yang

“…This research aims to elucidate the function of MORC4 in hepatic lipid metabolism, thereby improving the understanding of the molecular mechanisms underlying lipid metabolism disorders.MethodsData regarding circulating lipid traits and hepatic Morc4 expression in BXD mice were obtained from GeneNetwork. …”
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Diversity and functional roles of endophytic and rhizospheric microorganisms in Ophioglossum vulgatum L.: implications for bioactive compound synthesis by Xian-Nv Long, Xian-Nv Long, Xian-Nv Long, Xing-Kai Zhang, Yue Wu, Shu-Shuang Tang, Tai-Xiong Zheng, Di Chen, Guan-Hua Cao, Guan-Hua Cao, Guan-Hua Cao, Xu-Hong Zhou, Sen He, Sen He, Sen He

“…This study systematically characterized the endophytic and rhizospheric community structure, taxonomic diversity, and symbiotic networks within distinct compartments of O. vulgatum, while evaluating their potential associations with the accumulation of pharmacologically active metabolites.MethodsEndophytic and rhizospheric community profiling was conducted via Illumina sequencing, while bioactive compounds were identified using UPLC-ESI-MS/MS.ResultsRoots and leaves harbored beneficial bacteria (e.g., Methylobacterium, Streptomyces, Sphingomonas, and Flavobacterium). …”
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Achieving near-infrared-light-mediated switchable friction regulation on MXene-based double network hydrogels by Pengxi Wu, Cheng Zeng, Jinglun Guo, Guoqiang Liu, Feng Zhou, Weimin Liu

“…Abstract MXene possesses great potential in enriching the functionalities of hydrogels due to its unique metallic conductivity, high aspect ratio, near-infrared light (NIR light) responsiveness, and wide tunability, however, the poor compatibility of MXene with hydrogels limits further applications. …”
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Adaptive Grid Generation by Solving One-Dimensional Diffusion Equation Using Physics-Informed Neural Networks by Olzhas Turar, Maksat Mustafin, Darkhan Akhmed-Zaki

“…In the PINN approach, the governing equation is incorporated into the loss function, enabling the neural network model to generate the grid based on physical constraints. …”
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Hybrid-KANet: a hyperspectral remote sensing crop classification method based on the Kolmogorov–Arnold network by Weizhen Zhang, Zhihui Li, Tong Zhen

“…In order to enhance the model’s ability to represent and discriminate complex nonlinear boundaries in hyperspectral images without introducing an attentional mechanism, an improved HybridSN (Hybrid-KANet) model based on the Kolmogorov-Arnold network (KAN) is proposed in this study. The model introduces a 3D fast kernel-activated convolutional layer, replaces the traditional linear activation function with a radial basis function (RBF), and realizes the nonlinear feature representation by spline paths and basis function paths. …”
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Effects of three types of resistance training on knee osteoarthritis: A systematic review and network meta-analysis. by Yutao Jiang, Yajun Tan, Liang Cheng, Jintao Wang

“…<h4>Objective</h4>This network meta-analysis (NMA) aimed to compare the effects of different types of RT, namely, isometric muscle strengthening (IMMS), isokinetic muscle strengthening (IKMS) and isotonic muscle strengthening (ITMS), on pain, function and quadriceps muscle strength of patients with KOA.…”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles by Shidong Wang, Zida Shan, Jialuan Xiao, Junjun Cao, He Zhang, Nan Sun

“…The algorithm, named the Adaptive Radial Basis Function Neural Network Fuzzy Sliding Mode Controller (ARFSMC), replaces modeled vehicle dynamics with a radial basis function neural network (RBFNN). …”
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An Optimization Coverage Strategy for Wireless Sensor Network Nodes Based on Path Loss and False Alarm Probability by Jianing Guo, Yunshan Sun, Ting Liu, Yanqin Li, Teng Fei

“…In existing coverage challenges within wireless sensor networks, traditional sensor perception models often fail to accurately represent the true transmission characteristics of wireless signals. …”
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Effectiveness of Telemedicine Interventions on Motor and Nonmotor Outcomes in Parkinson Disease: Systematic Review and Network Meta-Analysis by Jiejie Dou, Junyu Wang, Xianqi Gao, Guotuan Wang, Ying Bai, Yixin Liang, Kunyi Yang, Yong Yang, Lin Zhang

“…MethodsA systematic review and network meta-analysis were conducted by searching PubMed, MEDLINE, Embase, Cochrane CENTRAL, and Web of Science through November 2024. …”
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Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG by Fei Gao, Mengru Wang, Huibin Jia, Georgi V. Georgiev, Yi Feng, Wenxia Li

“…Correlation analyses indicated that delta and theta frequency band power were positively associated with the Beck Depression Inventory scores, whereas delta frequency band power was negatively correlated with the State Anxiety Inventory scores. Additionally, functional connectivity analysis demonstrated reduced gamma-band connectivity in patients with PHN, particularly in regions of the sensorimotor and pain modulation networks. …”
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Globus pallidus externus correlates with arousal in disorders of consciousness: a resting-state functional MRI study by Xuqiu Qin, Yi Li, Yi Li, Kangkang Bai, Kangkang Bai, Jiayi Miao, Xiaoyu Yanghao, Jiangli Cui, Xiaoling Zhang, Xingyu Miao

“…Patients were stratified into coma, UWS and MCS groups based on behavioral assessments (GCS/CRS-R) and underwent resting-state functional MRI (rs-fMRI). Whole-brain functional connectivity (FC) was analyzed with GPe as seed regions. …”
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PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification by Bo Ren, Chaoyue Hua, Biao Hou, Jian Lv, Chen Yang, Licheng Jiao, Jocelyn Chanussot

“…The design process for polarimetric contrastive learning involves the construction of positive samples, the establishment of a PolSAR-based network architecture for contrastive learning, and the formulation of the loss function. …”
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Optimal Adjustment Schemes on the Long Through-Type Bus Lines considering the Urban Rail Transit Network by Si-Jia Zhang, Shun-Ping Jia, Yun Bai, Bao-Hua Mao, Cun-Rui Ma, Tong Zhang

“…Then the genetic algorithm is applied to solve the proposed model, and a numerical example is conducted to verify the effectiveness. Results show that the value of the objective function of the model is improved by 27.2%, in comparison with the original scheme. …”
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Experimental Study on Stress-Dependent Nonlinear Flow Behavior and Normalized Transmissivity of Real Rock Fracture Networks by Qian Yin, Hongwen Jing, Richeng Liu, Guowei Ma, Liyuan Yu, Haijian Su

“…The transmissivity of fracture networks decreases with the hydraulic gradient, and the variation process can be estimated using an exponential function. …”
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Pengembangan Aplikasi Pemantauan Jaringan Berbasis Web pada Software-Defined Networking dengan Protokol SFLOW by Muhammad Ilham, Nur Rohman Rosyid

“…SDN controllers such as ONOS only function for flow table management and do not have enough network traffic monitoring features to support network management processes. …”
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Learning a cross-scale cross-view decoupled denoising network by mining Omni-channel information by Song Qian, Yan Xue, Youbao Chang

“…Our approach relies on an encoder-decoder architecture, which facilitates cross-view and cross-scale feature interactions. The network is trained with a composite loss function that includes both spatial and perceptual domain constraints, ensuring a comprehensive optimization of the denoising process. …”
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