Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…The proposed method is benchmarked against seven conventional techniques, using real-world power grid signals representing four distinct event types: blown fuse, line switching, low amplitude arcing, and transformer energization. …”
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Cardiovascular safety of Janus kinase inhibitors in inflammatory bowel disease: a systematic review and network meta-analysis by Huibin Yang, Ting An, Yuxuan Zhao, Xiaojing Shi, Bangmao Wang, Qingyu Zhang

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Interventions for SARS-CoV-2 prevention among Jailed adults: A network-based modeling analysis by Isaac Schneider, Karina Wallrafen-Sam, Shanika Kennedy, Matthew J. Akiyama, Anne C. Spaulding, Samuel M. Jenness

“…Methods: Social contact networks were simulated at two different overlapping network layers: cell and block. …”
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Network Meta-Analysis and Trial Sequential Analysis of Randomised Controlled Trials Comparing Robotic, Laparoscopic, and Open Pancreatoduodenectomy by Nejo Joseph, MBChB, Chris Varghese, MBChB, James Lucocq, MBChB, Matthew J. McGuinness, MBChB, Samuel Tingle, MBChB, Giovanni Marchegiani, PhD, Kjetil Soreide, PhD, Mohammed Abu-Hilal, Jas Samra, Marc Besselink, PhD, Steve White, Sanjay Pandanaboyana, FRCS

“…With recent randomised controlled trials (RCTs) comparing open pancreatoduodenectomy (OPD) with robotic or laparoscopic pancreatoduodenectomy (RPD or LPD), we undertook a network meta-analysis (NMA) comparing all 3 approaches to evaluate comparative outcomes. …”
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Identification of Host–Protein Interaction Network of Canine Parvovirus Capsid Protein VP2 in F81 Cells by Hongzhuan Zhou, Huanhuan Zhang, Xia Su, Fuzhou Xu, Bing Xiao, Jin Zhang, Qi Qi, Lulu Lin, Kaidi Cui, Qinqin Li, Songping Li, Bing Yang

“…Subsequently, the protein Interaction Network (PPI), the annotation of gene ontology (GO) and the database of Kyoto Encyclopedia of Genes and Genomes (KEGG) were constructed for in-depth analysis. …”
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Simplified Internal Audits of the Welfare Quality Protocol in Dairy Farms: Are They Effective in Improving Welfare Practices? by Maria Francisca Ferreira, Catarina Stilwell, George Stilwell

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The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

“…Therefore, time series of seven climatologic elements including mean temperature, precipitation, relative humidity, mixing ratio, vapor pressure, dew point temperature and sea level pressure were entered to the artificial neural networks as input, while next year precipitation was considered as the output of network. …”
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An adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief by Alireza Entezari, Fatemeh Mayvaneh, Khosro Rezaie, Fatemeh Rahimi

“…The power of neural networks, prediction of future performance network (generalized orientation) it simply is not possible and the new model presented in this paper have been restricted Boltzmann machine-based neural networks or neural networks is used deep belief. …”
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The efficacy of Topical Clascoterone versus systematic spironolactone for treatment of acne vulgaris: A systematic review and network meta-analysis. by Mohammad A Basendwh, Amer Abdulaziz Alharbi, Sarah Abdulla Bukhamsin, Rahaf Abdulrashid Abdulwahab, Sarah Abdullah Alaboud

“…<h4>Results</h4>Seven articles (n = 2,006 patients) were included. …”
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A Collaborative Data Network for the Asia Oceania Region Enabled by Emerging Technologies to Foster Innovation in a Secure and Open Environment by Alison Specht, Kim Bryceson, Shoufeng Cao, Margaret O’Brien, S. M. Guru, Pedro Pizzigatti Correa, Michelle Waycott

“…Management of the eventual large volume of data should be anticipated, and partnerships may need to be considered. We propose a seven-step pathway to creation of such a network.…”
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Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China by Xia Liheng, Zhang Panpan, Shi Lei, Wang Kun, Zhang Tingyu

“…Subsequently, single-factor models, partial least squares regression models, Back Propagation neural network (BPNN) models, Genetic Algorithm (GA) optimization BPNNs, and BPNN models optimized through GAs based on multiple linear stepwise regression using spectral parameters (referred to as MLSR-GA-BP NN models) were constructed and compared. …”
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Network relationship between cognitive function and quality of life in community-dwelling older adults: an observational study from Beijing by Yitian Ye, Yichun Zhang, Jiaju Ren, Yanbo Zhu, Yanbo Zhu

“…Cognitive assessment involved seven dimensions, namely visuospatial/executive function, naming, attention, language, abstraction, delayed recall, and orientation. …”
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Comparative Efficacy and Safety of Targeted Therapies for Chronic Thromboembolic Pulmonary Hypertension: A Systematic Review and Network Meta-Analysis by Yusi Chen, Fang Li, Jun Luo, Jingyuan Chen, Peng Luo, Jiang Li

“…Our study identified eight eligible RCTs that evaluated seven PAH-targeted therapies in 703 patients with CTEPH. …”
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Integrated transcriptomic hypothalamic-pituitary-ovarian axis network analysis reveals the role of energy availability on egg production in layers by Jianling Peng, Yong Cui, Haiping Liang, Shenyijun Xu, Linjian Weng, Meng Ru, Ramlat Ali, Qing Wei, Jiming Ruan, Jianzhen Huang

“…To investigate the mechanism of integrated network regulation of the HPO axis under energy fluctuation, ninety Hy-line brown layers (265-day-old, 1.92 ± 0.02 kg) were randomly divided into three groups for a 17-day experiment: a control group (Con group) fed ad libitum from days 1 to 17, an energy-deprived group (ED group) that was fed ad libitum from days 1 to 12 and then underwent a fasting period from days 13 to 17 to induce a pause in laying, and a re-fed group (Rf group) that fasted for seven days (specifically, days 1 to 5, day 7, and day 9), had ad libitum access to feed on days 6 and 8, and was continuously fed from days 10 to 17. …”
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Comparative Effectiveness of Anti-Inflammatory Drug Treatments in Coronary Heart Disease Patients: A Systematic Review and Network Meta-Analysis by Ivan Wudexi, Elica Shokri, Mohamed Abo-Aly, Kazuhiro Shindo, Ahmed Abdel-Latif

“…Methods. We conducted a network meta-analysis of randomized controlled trials that studied the effects of anti-inflammatory medications on cardiovascular outcomes of coronary artery disease patients. …”
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Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study by Lehana Thabane, Jason W Busse, Behnam Sadeghirad, Gordon H Guyatt, Mohit Bhandari, Romina Brignardello-Petersen, Fernando Kenji Nampo, Carlos A Cuello-Garcia, Raveendhara R Bannuru, Mark R Phillips, Yu Jia Guo, Sofia Bzovsky

“…Objective The Grades of Recommendations, Assessment, Development and Evaluation working group recently developed an innovative approach to interpreting results from network meta-analyses (NMA) through minimally and partially contextualised methods; however, the optimal method for presenting results for multiple outcomes using this approach remains uncertain. …”
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Diagnostic Accuracy of Non-Invasive Diagnostic Tests for Nonalcoholic Fatty Liver Disease: A Systematic Review and Network Meta-Analysis by Sun Y, Hu D, Yu M, Liang SB, Zheng Y, Wang X, Tong G

“…We aimed to assess and compare the diagnostic accuracy of various NITs for NAFLD using network meta-analysis (NMA).Materials and Methods: We conducted a systematic search in seven databases up to April 2024 to identify studies evaluating the diagnostic values of NITs, with liver biopsy as the gold standard. …”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…In this study, forest degradation was modeled by employing the single-perceptron neural network and hybrid neuro-fuzzy method. For this purpose, the images from Landsat-5 TM sensor in 1999 and Landsat 8 OLI sensor in 2017 were utilized. …”
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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax by Diego A. Ramos-Briceño, Alessandro Flammia-D’Aleo, Gerardo Fernández-López, Fhabián S. Carrión-Nessi, David A. Forero-Peña

“…Our best-performing model utilizes a seven-channel input and correctly predicted 12,876 out of 12,954 cases. …”
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Noninvasive respiratory support following extubation in critically ill adults with obesity: a systematic review and network meta-analysisResearch in context by Joris Pensier, Arthur Naudet-Lasserre, Clément Monet, Mathieu Capdevila, Yassir Aarab, Inès Lakbar, Gérald Chanques, Nicolas Molinari, Audrey De Jong, Samir Jaber

“…Methods: In this systematic review and network meta-analysis, we searched MEDLINE, Cochrane Center Register of Controlled Trials and Web of Science from 1 January 1998 to 1 July 2024 for RCTs evaluating noninvasive respiratory support therapies (NIV, HFNC, COT, NIV + HFNC) after extubation in critically ill adults with obesity. …”
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