Variations in the physicochemical properties of soil, enzyme activities, and the characteristics of bacterial communities within algal biocrusts and subsoils across different plant... by Haonian Li, Zhongju Meng, Xiaomen Ren, Yanlong Han

“…In addition, the ABSCs differed in the network topological characteristics of soil bacterial communities in different plant communities. …”
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Supersymmetric $$AdS_6$$ A d S 6 black holes from ISO(3) $$\times $$ × U(1) F(4) gauged supergravity by Parinya Karndumri

“…We find a number of new supersymmetric $$AdS_2\times \mathcal {M}_4$$ A d S 2 × M 4 solutions by performing topological twists along $$\mathcal {M}_4$$ M 4 . For $$\mathcal {M}_4$$ M 4 being a product of two Riemann surfaces $$\Sigma \times \widetilde{\Sigma }$$ Σ × Σ ~ , we perform a twist by $$SO(2)\times U(1)$$ S O ( 2 ) × U ( 1 ) gauge fields and find $$AdS_2\times \Sigma \times \widetilde{\Sigma }$$ A d S 2 × Σ × Σ ~ solutions for at least one of the Riemann surface being negatively curved. …”
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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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Mapping integral cell-type-specific interferon-induced gene regulatory networks (GRNs) involved in systemic lupus erythematosus using systems and computational analysis by Blessy Kiruba, Akshayata Naidu, Vino Sundararajan, Sajitha Lulu S

“…Furthermore, the derived differentially expressed genes were curated based on immune functions using functional enrichment analysis to create a protein-protein interaction network. Topological network analysis of the formed genes revealed key hub genes associated with each of the cell types. …”
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QSPR/QSAR study of antiviral drugs modeled as multigraphs by using TI’s and MLR method to treat COVID-19 disease by Ugasini Preetha P, M. Suresh, Fikadu Tesgera Tolasa, Ebenezer Bonyah

“…Utilizing degree-based and neighborhood degree sum-based topological indices on molecular multigraphs reveals insights into the physicochemical properties of these drugs, such as polar surface area, polarizability, surface tension, boiling point, enthalpy of vaporization, flash point, molar refraction and molar volume are crucial in predicting their efficacy against viruses. …”
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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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Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus by Die Shen, Xuan Huang, Ziyu Diao, Jiahe Wang, Kun Wang, Weiye Lu, Shijun Qiu, Shijun Qiu

“…Then two methods, Jensen-Shannon divergence-based similarities (JSDs) and Kullback–Leibler divergence-based similarities (KLDs), were used to construct individual morphometric brain networks based on gray matter volume, to discover altered features of the topological network and extract abnormal key brain regions. …”
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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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Modelling pre-Hispanic settlement patterns in Alto de Toche, Colombia by César Augusto Velandia, Daniel Ramírez, Jhony Carvajal, David Bejarano

“…Their interpretation projected a settlement pattern; a typological-topological tambos classification inferred its possible functions such as sighting, funerary, and dwelling, from 2600 MASL to biggest sites at 3000 MASL, related to the sun-moon proximity presumed for gatherings. …”
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Computational network analysis of two popular skin cancers provides insights into the molecular mechanisms and reveals common therapeutic targets by Md Sujan Mahmud, Bikash Kumar Paul, Md. Rakibul Hasan, K.M. Tanjida Islam, Imran Mahmud, Shahin Mahmud

“…Protein-protein interactions (PPIs), Topological properties, GO enrichment, pathway enrichment, and gene regulatory network analyses were also performed to reveal potential molecular mechanisms and pathways. …”
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Cross-code comparison of the edge codes SOLPS-ITER, SOLEDGE2D and UEDGE in modelling a high-power neon-seeded scenario in the DTT by M. Moscheni, M. Wigram, H. Wu, C. Meineri, C. Carati, E. De Marchi, M. Greenwald, P. Innocente, B. LaBombard, F. Subba, R. Zanino

“…The advantages of extended plasma meshes are found to come with associated modelling intricacies, yet to be fully characterised but seemingly impacting on the activity around the secondary X-point of single-null magnetic topologies. An appreciable impurity particle imbalance, generated by the neon ion density floor, is noted—speculatively contributing to SOLEDGE2D’s different radiation emission distribution, and expected to be even more deleterious for high- Z impurities in all the codes. …”
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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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Elevated miR-221-3p inhibits epithelial–mesenchymal transition and biochemical recurrence of prostate cancer via targeting KPNA2: an evidence-based and knowledge-guided strategy by Dingchao Li, Jingang Jian, Manhong Shi, Zihao Chen, Anguo Zhao, Xuedong Wei, Yuhua Huang, Yalan Chen, Jianquan Hou, Yuxin Lin

“…Then a knowledge-guided network strategy was applied to prioritize key targets of miR-221-3p in PCa progression based both on topological and functional characterization of genes in multi-omics miRNA-mRNA and protein-protein interaction networks. …”
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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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