A Comprehensive Model of Embodiment in Late Pubertal Female-at-Birth Adolescents: The Role of Body Awareness and Mental Health by Greta Riboli, Luca Daminato, Mattia Nese, Marina Cassola, Gabriele Caselli, Gianni Brighetti, Rosita Borlimi

“…To investigate this issue, a sample of 294 post-pubertal adolescents assigned female at birth completed assessments related to body awareness, mental health, psychosomatic symptoms, gender congruence, and eating disorders. A network analysis was conducted to illustrate the intricate interactions among the observed variables, and a mediation model was utilised to explore how body image influences overall health, with interoception and functional body image acting as mediators. …”
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BCAMP: A Behavior-Controllable Motion Control Method Based on Adversarial Motion Priors for Quadruped Robot by Yuzeng Peng, Zhaoyang Cai, Lei Zhang, Xiaohui Wang

“…Secondly, an adversarial motion prior network structure combined with user commands is proposed. …”
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Land Use Rather than Microplastic Type Determines the Diversity and Structure of Plastisphere Bacterial Communities by Yangyang Wang, Zixuan Zhang, Shuang Zhang, Wanlin Zhuang, Zhaoji Shi, Ziqiang Liu, Hui Wei, Jiaen Zhang

“…The complexity of the microbial network within the plastisphere was lower than that of the soil. …”
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Impact of Various Wearability Conditions on the Performances of Meander-Line Z-Shaped Embroidered Antenna by Adnan E. Ali, Goran M. Stojanović, Varun Jeoti, Dalibor Sekulić, Ankita Sinha

“…We designed a fully-textile meander line Z–shaped monopole antenna for radio-frequency (RF) harvesting and for short-range communication purposes in the body-area network for various wearable applications. The target antenna was designed in the Ansys HFSS software tool and fabricated on a single-layer cotton textile using silver conductive threads and an embroidery technique. …”
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Recent Advances in WSN-Based Indoor Localization: A Systematic Review of Emerging Technologies, Methods, Challenges, and Trends by Nur Ahmad

“…This work fills this crucial gap by rigorously assessing the advancements and challenges faced by Wireless Sensor Network (WSN)-based IL systems, with a focused examination of experimental studies conducted over the past five years. …”
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An in-depth survey of latest progress in smart grids: paving the way for a sustainable future through renewable energy resources by Venkatraman Ethirajan, S. P. Mangaiyarkarasi

“…The applications and technologies of smart grids may vary in their functions and forms, but they all share common potential benefits. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…Three distinct black-box algorithms, including Regression Tree (RT), Radial Basis Function Neural Network (RBF-NN) and Support Vector Machine (SVM) were employed to model FFT. …”
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Identification of anoikis-related subtypes and a risk score prognosis model, the association with TME landscapes and therapeutic responses in hepatocellular carcinoma by Xiangyu Zhai, Xiangyu Zhai, Kecheng Li, Hailing Ding, Yanmei Wu, Xinlu Zhang, Hao Zhang, Huaxin Zhou, Huaxin Zhou, Chongzhong Liu, Zili Zhang, Bin Jin, Bin Jin

“…Weighted Gene Co-expression Network Analysis (WGCNA) identified hub gene modules, and LASSO Cox regression was applied to construct a prognostic risk score model. …”
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Alteration in motor control in patients with low back pain and myotonic syndrome of lumbar osteochondrosis by V.A. Kolesnichenko, H.H. Holka, I.V. Hresko, V.V. Burlaka, V.V. Vesnin, B.P. Vvedensky, D.B. Vvedensky

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Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy by Jian Cheng, Miaomiao Sun, Xiao Dong, Yang Yang, Xiaohan Qin, Xing Zhou, Yongcheng Fu, Yuanyuan Wang, Jingyue Wang, Da Zhang

“…Methods This study utilized clinical neuroblastoma samples from 20 patients and 1310 cases from four public datasets to investigate SLC1A5 expression, biological function, and prognostic significance. Differential expression, Kaplan–Meier survival analysis, gene set enrichment analysis, and weighted correlation network analysis were conducted. …”
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Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

“…A series of correlation analyses revealed 30 sequences linked to ginsenoside biosynthesis. Functional validation of these sequences was performed using two types of ginseng materials treated with MeJA, which confirmed the functions of 5 sequences, demonstrating their close association with ginsenoside biosynthesis and their involvement in regulatory network controlling its synthesis. …”
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Assessing the causal effect of inflammation‐related genes on myocarditis: A Mendelian randomization study by Huazhen Xiao, Hongkui Chen, Wenjia Liang, Yucheng Liu, Kaiyang Lin, Yansong Guo

“…Five algorithms [MR‐Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode regression] were employed for the MR analysis, with IVW as the primary method, and sensitivity analysis was conducted. Subcellular localization and protein–protein interaction (PPI) network analyses were performed for selected biomarkers. …”
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Integrating single-cell sequencing and transcriptome analysis to unravel the mechanistic role of sialylation-related genes in sepsis-induced acute respiratory distress syndrome by Xiaobing Liu, Yake Huang, Hao Zhang, Xia Yang, Quanxing Liu, Jigang Dai

“…Afterwards, enrichment analysis, construction of regulatory networks, and drug prediction analysis were implemented to further understand the molecular mechanisms of action of key genes. …”
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AQP1 Affects Necroptosis by Targeting RIPK1 in Endothelial Cells of Atherosclerosis by Wang P, Zheng L, Yang Y, Yue X, Liu J, Fan K, Zhou H, Dong H

“…Genes linked to necroptosis were screened to influence the AS identified by weighted gene coexpression network analysis (WGCNA). Then we collected femoral atherosclerosis and normal aortic samples, further conducted single-cell sequencing and spatial transcriptomic methods to confirm the potential function and pathway of AQP1 in endothelial cells. …”
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Analysis of transcriptome and chromatin accessibility changes during the differentiation of human embryonic stem cells into neural progenitor cells by LI Linying, CAI Xiaodong, TONG Ran, YANG Chen, WANG Zhiming, HE Xiaoyu, MA Ziyue, ZHANG Feng, LI Lingjie, ZHOU Junmei

“…RNA-seq analysis revealed that compared to the hESC stage, there were 5 597 genes upregulated and 3 654 genes downregulated at the NPC stage. Gene function enrichment analysis showed that the upregulated genes at the NPC stage were enriched in the functions related to neural development. …”
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Synergistic Effects of Deep Rotary Tillage and Microbial Decomposition Agents on Straw Decomposition, Soil Nutrient Dynamics, and Microbial Communities in Rice Systems by Xinyue Wang, Jie Huang, Yanting Tan, Lili Yang, Yuanhuan Li, Bing Xia, Hailin Li, Xiaohua Deng

“…A two-factor randomized block experiment was conducted, with straw decomposition dynamics modeled using a modified Olson decay model, and microbial communities were assessed via high-throughput sequencing and network analysis. …”
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MicroRNAs in anthracycline cardiotoxicity: biomarkers, mechanisms, and therapeutic advances by Hongyun Mao, Hongyun Mao, Jing Hu, Chenshuo Yu, Sicong Xie, Cheng Chang, Juanjuan Peng, Yang Zhang

“…MicroRNAs (miRNAs), as key post-transcriptional regulators of gene expression, play a pivotal role in the pathophysiology of cardiovascular disease, but their specific functions in anthracycline-induced cardiotoxicity (AIC) require systematic elucidation.PurposeThis review aims to systematically summarize current research on the key miRNAs, their molecular targets, and associated signaling pathways that regulate AIC, while also exploring their potential as biomarkers for early diagnosis and as therapeutic targets for intervention.MethodsA comprehensive literature search was conducted in PubMed, Web of Science, and Scopus databases for relevant studies published up to April 2025. …”
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Integrated transcriptomic and immune profiling reveals crucial molecular pathways and hub genes associated with postoperative delirium in elderly patients by Zi-han Gou, Nan Su, Xiao-chuan Li, Da-peng Ren, Shan-shan Ren, Lin Wang, Yao Wang

“…Protein–protein interaction (PPI) network analysis identified 10 hub genes, including COL18A1, CD63, and LTF. …”
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Screening and analysis of programmed cell death related genes and targeted drugs in sepsis by Juanjuan Song, Kairui Ren, Yi Wang, Dexin Zhang, Lin Sun, Zhiqiang Tang, Lili Zhang, Ying Deng

“…Methods Gene expression profiles from sepsis patients were analyzed to identify differentially expressed genes (DEGs) and hub genes through Weighted Gene Co-expression Network Analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to elucidate the functions of the DEGs. …”
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An empirical study of the naïve REINFORCE algorithm for predictive maintenance by Rajesh Siraskar, Satish Kumar, Shruti Patil, Arunkumar Bongale, Ketan Kotecha, Ambarish Kulkarni

“…For the REINFORCE, a basic hyperparameter sensitivity and interaction analysis is conducted to better understand the dynamics and present results for the hyperparameters learning rate, discount factor $$\gamma$$ γ and the network activation functions (ReLU and Tanh). …”
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