Symptom network analysis of pregnancy stress, depressive symptoms and quality of life: a cross-sectional study of pregnant women in Xinjiang, China, 2023–2024 by Sufeila Shalayiding, Weicui Meng, Xiaoting Wang, Bahedana Sailike, Ting Jiang

“…Methods From February 2023 to January 2024, a convenience sampling method was used to conduct a cross-sectional study of 1,349 pregnant women in a tertiary hospital in the Xinjiang Uygur Autonomous Region of China using the Patient Health Questionnaire Depressive Symptom Cluster and the Stress in Pregnancy and Health-Related Quality of Life Scale, to construct a network to perform network estimation, and to determine core nodes of the network structure based on the centrality indexes. …”
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DualDyConvNet: Dual-Stream Dynamic Convolution Network via Parameter-Efficient Fine-Tuning for Predicting Motor Prognosis in Subacute Stroke by Yunjeong Jang, Joohye Jeong, Yun Kwan Kim, Da-Hye Kim, Wanjoo Park, Laehyun Kim, Yun-Hee Kim, Minji Lee

“…In this study, we propose a novel framework, called dual-stream dynamic convolution network (DualDyConvNet), to predict motor recovery for two months using resting-state electroencephalogram data in the subacute phase. …”
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Changes in Soil Properties Under the Influence of Microplastics in Plastic and Open Field Production in Three Serbian Valleys by Elmira Saljnikov, Tara Grujić, Marina Jovković, Veljko Perović, Dragan Čakmak, Aigul Zhapparova, Vesela Radović, Slobodan Stefanović, Vladimir Miladinović, Slađan Stanković, Žaklina Marjanović, Sayagul Kenzhegulova, Aigul Tleppayeva, Gulya Kunypiyaeva, Slobodan Krnjajić

“…The results contribute to a better understanding of the influence of MPs on soil properties and its ecological functions.…”
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Comparative the efficacy and safety of Gosuranemab, Semorinemab, Tilavonemab, and Zagotenemab in patients with Alzheimer’s disease: a systematic review and network meta-analysis of... by Wenting Cai, Wenting Cai, Hui Zhang, Hui Zhang, Yan Wu, Yan Wu, Yao Yao, Jinping Zhang

“…Statistical analysis was conducted using Stata 14 and RevMan 5.4. The purpose of data processing, including generating network evidence plots, surface under the cumulative ranking curve (SUCRA) ranking, league plots, and funnel plots, is to visually summarize and evaluate the relative effectiveness and safety and potential publication bias of multiple interventions. …”
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Applying Reinforcement Learning for AMR’s Docking and Obstacle Avoidance Behavior Control by Chun-Chi Lai, Bo-Jun Yang, Chia-Jen Lin

“…The DQN network excels in computing complex functions; AprilTag provides X, Y, Z, Pitch, Yaw, and Roll data. …”
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Biopsychosocial approach to sports injury: a systematic review and exploration of knowledge structure by Moonjung Bae

“…To explore the knowledge structure, a keyword-network analysis was performed using Python NetworkX. …”
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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…Based on the analysis of the principles of the construction and functioning of the neural network, which forms the basis of artificial intelligence, as an abstract model created to solve a specific problem, the capabilities of neural networks as a whole are revealed, and thus the features of working with them are demonstrated. …”
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New insights into the mechanism of triphenyl phosphate and its metabolite diphenyl phosphate in diabetic kidney disease by Ting Fang, Qiaoyan Liu, Xinxin Huangfu, Hongkai Zhu, Hongwen Sun, Liming Chen

“…Additionally, the study explored the targets of action for TPHP and DPHP using network toxicity analysis, conducted protein interaction analysis, and explored the functional aspects of action through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. …”
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Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

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FA-FENet: A Feature Attention Front-End Network Based on a Lightweight CNN Architecture for Recognizing Abnormal Underwater Illegal Fishing Behavior by Xiang-Rui Huang, Liang-Bi Chen

“…Herein, we propose a feature attention front-end network (FA-FENet), a novel end-to-end convolutional neural network (CNN) architecture that differs from previous methods in that it allows flexible integration with various backbone networks. …”
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Identification of hub genes between moderate to severe asthma and early lung adenocarcinoma through bioinformatics analysis by Jiaqian Xue, Qingwei Zhou

“…The Cancer Genome Atlas gene-expression profiles for early-stage LUAD and GSE76225 data set for moderate to severe asthma were selected for weighted gene co-expression network analysis, and intersected with the relevant module genes and selected hub genes; the relevant network of hub genes was then determined through a protein–protein interaction network. …”
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DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions by Yucong Chen, Guang Yang, Xiaohua Dong, Junying Zeng, Chuanbo Qin

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Precision targeting of right dorsolateral prefrontal cortex with neuronavigated rTMS alleviates chronic insomnia via functional connectivity reorganization: a randomized neuroimagi... by Liang Gong, Xi Yang, Yuan He, Haoyu Li, Wen Zhou, Duan Liu, Bei Zhang, Chunhua Xi

“…Target-based functional connectivity (FC) analysis was used to map rTMS-associated network changes, while causal mediation analysis was used to examine the relationships between neural changes and clinical improvements. …”
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Two-Stage Dynamic Partitioning Strategy Based on Grid Structure Feature and Node Voltage Characteristics for Power Systems by Lixia Sun, Xianxue Sha, Shuo Zhang, Jiahao Wang, Yiping Yu

“…Grid partitioning is then conducted by maximizing modularity through a staged approach that ensures network connectivity and automatically determines partition numbers. …”
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Functional connectome integration observed after antispastic epidural cervical spinal cord stimulation in a patient with TBI-induced disorder of consciousness: a case report by Larisa Alexeevna Mayorova, Larisa Alexeevna Mayorova, Ekaterina Leonidovna Bondar, Margarita Leonidovna Radutnaya, Alexey Alexandrovich Yakovlev

“…Analysis of rs-fMRI data showed that after a short course of epidural cervical spinal cord stimulation, the patient’s functional connectivity matrix similarity with the control group increased, which was manifested in the growth of ROI-to-ROI and inter-network functional connectivity coefficients. …”
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Fecal microbiota transplantation alleviates cognitive impairment by improving gut microbiome composition and barrier function in male rats of traumatic brain injury following gas e... by Xinwen Dong, Yaguang Su, Zheng Luo, Cuiying Li, Jie Gao, Xiaofeng Han, Sanqiao Yao, Weidong Wu, Linqiang Tian, Yichun Bai, Guizhi Wang, Wenjie Ren

“…However, there is limited understanding of the impact and mechanisms of fecal microbiota transplantation (FMT) on brain and gut barrier function in the treatment of TBI induced by gas explosion (GE).MethodsWe have employed FMT technology to establish models of gut microbiota dysbiosis in male rats, and subsequently conducted non-targeted metabolomics and microbiota diversity analysis to explore the bacteria with potential functional roles.ResultsHematoxylin–eosin and transmission electron microscopy revealed that GE induced significant pathological damage and inflammation responses, as well as varying degrees of mitochondrial impairment in neuronal cells in the brains of rats, which was associated with cognitive decline. …”
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Stokes flows in a two-dimensional bifurcation by Yidan Xue, Stephen J. Payne, Sarah L. Waters

“…We quantify the difference between the computed conductances and their Poiseuille law approximations to demonstrate the importance of incorporating detailed bifurcation geometry into existing flow network models. …”
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Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury by Lingyan Li, Xingjie Wu, Qianqian Guo, Yu'e Wang, Zhiyong He, Guangqiong Zhang, Shaobo Liu, Liping Shu, Babu Gajendran, Ying Chen, Xiangchun Shen, Ling Tao

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Integrating Machine Learning and Educational Robotics by Charles Soares Pimentel, Fábio Ferrentini Sampaio

“…The results showed that students grasped both the functioning of the WiSARD algorithm and the mathematical principles behind it. …”
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