A Large Ship Detection Method Based on Component Model in SAR Images by Tiancheng Dong, Taoyang Wang, Xuefei Li, Jianzhi Hong, Maoqiang Jing, Tong Wei

“…The detected ship components are connected using a topological relationship algorithm based on the component structure, culminating in the generation of ship target detection results. …”
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The Underlying Molecular Basis and Mechanisms of Venous Thrombosis in Patients with Osteomyelitis: A Data-Driven Analysis by Peisheng Chen, Yinhuan Liu, Xiaofeng Lin, Bin Yu, Bin Chen, Fengfei Lin

“…The protein-protein interaction (PPI) network between VTEGs2 and OMGs2 was constructed using the Search Tool for the Retrieval of Interacting Genes (STRING) database and then visualized in Cytoscape. Topological properties of the PPI network were calculated by NetworkAnalyzer. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…The model considers critical parameters such as Remaining Energy Level (REL), Bandwidth and Interference Level (BIL), Mobility Pattern (MP), Traffic Condition (TC), and Network Topological Arrangement (NTA), ensuring a comprehensive approach to route optimization. …”
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Codon usage patterns and genomic variation analysis of chloroplast genomes provides new insights into the evolution of Aroideae by Xinbi Jia, Jiaqi Wei, Yuewen Chen, Chenghong Zeng, Chan Deng, Pengchen Zeng, Yufei Tang, Qinghong Zhou, Yingjin Huang, Qianglong Zhu

“…Furthermore, the maximum likelihood-based phylogenetic trees constructed from complete chloroplast genomes and protein-coding sequences presented similar topologies. Principal component clustering analysis based on relative synonymous codon usage values (RSCUs) revealed that Calla was clearly deviated from Montrichardia and Anubias, and that Alocasia was closer to Colocasieae than to Arisaemateae. …”
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Discovery of phloridzin as a new antagonist for Di(2-ethylhexyl) phthalate-induced male reproductive toxicity based on the adverse outcome pathway network and drug-target gene set... by Huan Gao, Xue Zhang, Ziqi Liu, Xiaoge Yang, Yajie Li, Mengxing Cui, Han Wang, Xiaoyu Chen, Weiying Zhang, Zhihan Liu, Yongjiang Yu, Liping Chen, Daochuan Li, Yongmei Xiao, Wen Chen, Qing Wang

“…Among them, cellular apoptosis is the core KE in DEHP-induced MRT via network topological analysis. Eventually, we developed a novel in silico antagonist screening platform (http://43.136.69.224:3838/wlab/) based on drug-target gene set enrichment analysis (dtGSEA version 2.0). …”
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A DFT Analysis on Antioxidant and Antiradical Activities from Anthraquinones Isolated from the Cameroonian Flora by Judith Caroline Ngo Nyobe, Laurent Gael Eyia Andiga, Désiré Bikele Mama, Baruch Ateba Amana, Joseph Zobo Mfomo, Toze Flavien Aristide Alfred, Jean Claude Ndom

“…The global reactivity descriptors (GRDs; electrophilicity index (ω), electronegativity (χ), global softness (S), and global hardness (η)) have been used to analyze the reactivity. The topological analysis of optimized structures indicates that the strength of the hydrogen bonds formed is situated between 44.205 and 52.001 kJ/mol. …”
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Analysis of ecological network evolution in an ecological restoration area with the MSPA-MCR model: A case study from Ningwu County, China by Ziyan Guo, Chuxin Zhu, Xiang Fan, Muye Li, Nuo Xu, Yuan Yuan, Yanjun Guan, Chunjuan Lyu, Zhongke Bai

“…The ecological corridors increased from 8 in 2000 to 9 in 2010, and 20 in 2020; and the total length increased from 70.23 km in 2000 to 144.23 km in 2010, and 170.21 km in 2020. (4) The ecological network topological structure indices showed that the ecological network structure improved over the two decades. …”
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Post-stroke outcome prediction based on lesion-derived features by Maedeh Khalilian, Olivier Godefroy, Martine Roussel, Amir Mousavi, Ardalan Aarabi

“…We extracted four lesion-derived feature sets: lesion masks, probabilistic structural disconnection maps (pSDMs), structural and indirectly estimated functional connectivity strengths between brain regions, and topological properties of functional and structural brain networks to predict motor, executive, and processing speed deficits in 340 S patients, employing PCA-based ridge regression with leave-one-out cross validation.The findings revealed that both structural disconnection map patterns and lesion masks were strong predictors of functional deficits. …”
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Comparative Structural and Biophysical Investigation of <i>Lycosa erythrognatha</i> Toxin I (LyeTx I) and Its Analog LyeTx I-b by Amanda Neves de Souza, Gabriele de Azevedo Cardoso, Lúcio Otávio Nunes, Christopher Aisenbrey, Evgeniy Salnikov, Kelton Rodrigues de Souza, Ahmad Saad, Maria Elena de Lima, Jarbas Magalhães Resende, Burkhard Bechinger, Rodrigo Moreira Verly

“…<b>Methods</b>: To understand the mechanisms behind these enhanced properties, comparative analyses of the structural, topological, biophysical, and thermodynamic aspects of the interactions between each peptide and phospholipid bilayers were evaluated. …”
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Exploring the inhibitory effect and mechanism of isorhamnetin therapy on oral squamous cell carcinoma based on network pharmacology and molecular docking by YU Fangfang, ZHOU Jingjing, YANG Jie, QU Huijuan, HUI Guangyan

“…According to the degree obtained by topological analysis, PIK3R1, AKT1, SRC, ESR1, and other core targets were screened out. …”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…We further push the frontier of feature engineering by using Temporal Convolutional Networks (TCNs) and Graph Convolutional Networks (GCNs) to capture time series trends, geographic and topological information, and pest/disease incidence. …”
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In silico analysis of hub genes and regulatory networks implicates the putamen in non-motor Parkinson’s disease disorders by Stephen Tunmise Akanbi, Joshua Ayodele Yusuf, Thompson Oluwaferanmi Ayandele, Dayo Samson Oladipupo, Darasimi Racheal Olorunlowu, Blessing Dorcas Olawuyi, Joshua Oluwafisayo Adepoju, Dolapo Emmanuel Opasina, Elizabeth Kehinde Opoola, Uchenna Victor Ugwuanyi, Olufunto Omodele Adeleye

“…Protein–Protein Interaction networks were constructed using stringDB (combined score > 0.7) and analyzed in Cytoscape to identify hub genes based on various topological measures (EPC, MCC, MNC, Degree, and EcCentricity). …”
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Combined multi-scale characterization of pores in ultra-thick coal seams of Jurassic Xishanyao Formation, Tiaohu-Malang sags, Santanghu Basin by Yue CHEN, Qiqi LEI, Dongmin MA, Xin WANG, Xinggang WANG, Diefang HUANG, Gaoxiang RONG

“…The surface of the 9-1 coal sample contains a large number of mineral crystal particles, with well-developed pores, breccia pores, friction holes, and micro-fractures, displaying a distinct pore-fracture topological structure. The 9-2 coal sample exhibits prominent primary fibrous structures, with smaller and more dispersed fractures. …”
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La mise en œuvre d’un aqueduc : l’exemple de la Brévenne à Lyon by Catherine Coquidé, Antoine Valois

“…Controlling the water route through topological changes and vegetation from the western surroundings of Lyon was another. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…Indeed, the classification led to an area under the curve of 0.69 by using graph convolutional networks, 0.72 by using local topological profiling random forest, and 0.71 by using support vector machine with the given heterogeneous dataset. …”
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Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery by Arda Halu, Sarvesh Chelvanambi, Julius L. Decano, Joan T. Matamalas, Mary Whelan, Takaharu Asano, Namitra Kalicharran, Sasha A. Singh, Joseph Loscalzo, Masanori Aikawa

“…Results Cell type-specific gene-drug perturbation networks built using QUIZ-C are topologically distinct, reflecting the biological uniqueness of the cell lines in CMap, and are enriched in known drug targets. …”
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Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury by Chenyang Li, Chenyang Li, Yuchen Xu, Tao Feng, Tao Feng, Minmin Wang, Minmin Wang, Minmin Wang, Xiaomei Zhang, Li Zhang, Li Zhang, Ruidong Cheng, Weihai Chen, Weihai Chen, Weidong Chen, Weidong Chen, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang

“…Pairwise spatial filters were then designed to extract discriminative spatial network topologies. Each filter paired with a support vector machine classifier to classify future movements into one of three classes: sit-to-stand, stand-to-sit, or rest. …”
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Comparative analysis of chloroplast genomes reveals molecular evolution and phylogenetic relationships within the Papilionoideae of Fabaceae by Qian Qin, Yanjing Dong, Jialong Chen, Bo Wang, Yuxin Peng, XinPeng Zhang, Xiaoyun Wang, Jinxiang Zeng, Guoyue Zhong, Shouwen Zhang, Xiaolang Du

“…Moreover, by using D. elegans as a reference, six genes (ycf4, clpP, ycf1, trnI-GAU, accD, rpl32) displayed high nucleotide polymorphism (Pi > 0.1), and the Ka/Ks ratio for all protein-coding genes was determined to be less than 1. The topological structure of the constructed phylogenetic tree of 85 species was basically consistent with that of Pap.. …”
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