Comparative efficacy of different ultrasound-guided ablation for the treatment of benign thyroid nodules: Systematic review and network meta-analysis of randomized controlled trial... by Linye He, Wanjun Zhao, Zijing Xia, Anping Su, Zhihui Li, Jingqiang Zhu

“…So we aim to evaluate the efficacy and complications of thermal/chemical ablation by network meta-analysis.<h4>Materials and methods</h4>In the network meta-analysis, PubMed, EMBASE and the Cochrane Library databases were searched from 1980 to 2020. …”
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Molecular mechanisms underlying Tao-Hong-Si-Wu decoction treating hyperpigmentation based on network pharmacology, Mendelian randomization analysis, and experimental verification by Jun Chen, Wenyi Ye

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Systematic Review with Network Meta-Analysis: Efficacy of Induction Therapy with a Second Biological Agent in Anti-TNF-Experienced Crohn’s Disease Patients by Cristiano Pagnini, Spyros I. Siakavellas, Giorgos Bamias

“…Data from these studies was used to perform (a) traditional meta-analysis to ascertain the effect of secondary treatment versus placebo and (b) network meta-analysis to compare indirectly the efficacy of available biological agents. …”
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Comparative efficacy and safety of licensed treatments for previously treated non-small cell lung cancer: A systematic review and network meta-analysis. by Xavier Armoiry, Alexander Tsertsvadze, Martin Connock, Pamela Royle, G J Melendez-Torres, Pierre-Jean Souquet, Aileen Clarke

“…<h4>Purpose</h4>This systematic review with network meta-analysis compared the efficacy and safety of currently licensed second-line treatments in patients with late stage non-small cell lung cancer (NSCLC).…”
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Exploring the efficacy of Benincasa hispida extract on obesity linked inflammatory bowel disease by integrating computational analysis and experimental validations by Santosh B. Patil, Manisha B. Kuvalekar, Deepak A. Yaraguppi, D. S. N. B. K. Prasanth, Sangameshwar G. Halkavatagi, Gururaj B. Tennalli, Mukhatar Ahmed Javali, T. M. Yunus Khan

“…Various methodologies, including compound-gene set pathway enrichment analysis, network pharmacology, docking studies, and molecular dynamics simulations, have been employed. …”
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Mitigating Skin and Proximity Effect in High-Voltage Underground Segmented Cables Through Individually Insulating Conductor Strings by Soheil Ahmadi, S. H. Khan, K. T. V. Grattan

“…These losses become more severe at higher harmonic frequencies, which are increasingly common in modern power networks. In traditional multi-segment cable designs, uninsulated conductor bundles enable large circular eddy current loops that elevate AC resistance and exacerbate both skin and proximity phenomena. …”
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Development and application of a model for the automatic evaluation and classification of onions (Allium cepa L.) using a Deep Neural Network (DNN) by Piotr Rybacki, Przemysław Przygodziński, Przemysław Łukasz Kowalczewski, Zuzanna Sawinska, Ireneusz Kowalik, Andrzej Osuch, Ewa Osuch

“…One such method is digital image analysis, which, when combined with instrumentation and deep neural networks, can fully automate the process. …”
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Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn’s disease: a systematic review and meta-analysis by Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu

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Analysis and Prediction of Traffic Conditions Using Machine Learning Models on Ikorodu Road in Lagos State, Nigeria by Udeme Udo Imoh, Majid Movahedi Rad

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A bibliometric analysis of research focuses on English translations of The Analects of Confucius sourced from CNKI (1996–2022) by Nan Wang, Seriaznita Mat Said

“…The study conducts an integrated approach of tiered keyword network analysis differing high-quality Chinese Social Sciences Citation Index (CSSCI)-indexed articles from general publications and a subsequent hierarchical clustering for more precise research clusters. …”
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Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional–Post-Transcriptional Regulatory Cross-Talk by Simona Panni, Roberto Pizzolotto

“…Our analysis of the resulting network reveals that only one-fifth of the human genes exhibits experimental validated regulation by microRNAs. …”
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Understanding the effectiveness and underlying mechanisms of lifestyle modification interventions in adults with learning disabilities: a mixed-methods systematic review by Dikshyanta Rana, Sophie Westrop, Nishant Jaiswal, Evi Germeni, Arlene McGarty, Louisa Ells, Phillippa Lally, Michael McEwan, Craig Melville, Leanne Harris, Olivia Wu

“…The network meta-analysis was conducted on all weight management outcomes listed above. …”
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Network structure and metropolitan mobility by Pavithra Parthasarathi

“…The results corroborate that the quantitative measures of network structure affect the system performance. The results from this analysis can be used to develop network design guidelines that can be used to address current transportation problems.…”
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Interaction Among Smartphone Addiction, Behavioral Inhibition/Activation Systems and Mental Health Factors Among Chinese Undergraduate Student: A Study Using Network Analysis by Zhang M, Wang X, Zhang B

“…When combining the connections of network analysis and community detection, the stronger connections mainly present in the inner domain of mental health factors and the BIS/BAS, respectively. …”
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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

“…Finally, to benefit from multiple deep network architectures while reducing classification complexity, the proposed CAD merges dual deep layer variables of the three CNNs and then applies the analysis of variance (ANOVA) and Chi-Squared for the selection of the most discriminative features from the integrated CNN architectures. …”
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Research on Predictive Analysis Method of Building Energy Consumption Based on TCN-BiGru-Attention by Sijia Fu, Rui Zhu, Feiyang Yu

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The quantity, quality and findings of network meta-analyses evaluating the effectiveness of GLP-1 RAs for weight loss: a scoping review by Michael Nunns, Samantha Febrey, Jill Buckland, Rebecca Abbott, Rebecca Whear, Alison Bethel, Kate Boddy, Liz Shaw, Jo Thompson Coon, GJ Melendez-Torres

“…The evidence presented regarding weight loss is in general agreement with the wider literature, though data on tirzepatide were not as resounding as reported in some meta-analyses. Limitations Current network meta-analyses of glucagon-like peptide 1 receptor agonists with weight loss outcomes often lack clarity about the network meta-analysis methods, such as which trials were included. …”
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A Blockchain Parallel Activity Architecture with Social Network Graphs as Carriers for Internet of Things Networks by Xin Cong, Lingling Zi

“…There is a need for information transactions between nodes in the Internet of Things (IoT) and blockchain technology can guarantee the anonymity and security of such transactions. However, current blockchain systems require networks to be connected in real time, but IoT networks cannot fulfill this requirement. …”
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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…In order to build a surrogate field model of the device, i.e., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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Exploration of M2 macrophage-related biomarkers and a candidate drug for glioblastoma using high-dimensional weighted gene co-expression network analysis by Suyin Feng, Suyin Feng, Suyin Feng, Long Zhu, Long Zhu, Long Zhu, Jinyuan Gu, Kun Kou, Yongtai Liu, Guangmin Zhang, Hua Lu, Honglai Zhang, Runfeng Sun, Runfeng Sun

“…Notably, M2 macrophages, alternatively activated cells, are notably increased within glioblastoma (GBM). Herein, our current study aimed to identify gene biomarkers relevant to M2 macrophages using high-dimensional weighted gene co-expression network analysis (hdWGCNA) and predict a candidate drug for GBM.MethodsSingle-cell RNA sequencing (scRNA-seq) data (GSE162631) and expression data (GSE4290) for GBM were obtained from the Gene Expression Omnibus (GEO) database. …”
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