An in-depth evaluation of the efficacy and safety of various treatment modalities for chronic thromboembolic pulmonary hypertension: A systematic review and network meta-analysis by Noha Rami Ismail, Hamdy A. Makhlouf, Atef Hassan, Ahmed Elshahat, Mohamed Abdelfatah Abdellatif, Abdelmoemen Esam Rezk, Abdelrahman Mady, Rashad G. Mohamed, Hanady Mohammad Elfeky, Ahmed Abdelaziz

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Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis by Narges Norouzkhani, Hesam Mobaraki, Shirin Varmazyar, Hadis Zaboli, Zhina Mohamadi, Golnaz Nikeghbali, Kamyar Bagheri, Newsha Marivany, Mirmehdi Najafi, Mahdiyeh Nozad Varjovi, Mohamed Abouzeid, Hanieh Zeidi Baghrabad, Pooya Eini, Aida Azhdarimoghaddam, Farbod Khosravi, Mahsa Asadi Anar

“…Conclusion AI networks demonstrate promising potential in predicting immunotherapy outcomes for gastrointestinal cancers based on genetic mutation features. This systematic review highlights their effectiveness in stratifying patients and optimizing treatment decisions. …”
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Poor glycemic control and its associated factors among type 1 diabetic children in Ethiopia: a systematic review and meta-analysis by Fentahun Meseret, Awoke Masrie, Adisu Birhanu Weldesenbet, Zewdu Bishaw Aynalem, Melsew Dagne Abate, Ahmed Nuru Muhamed, Gebremeskel Kibret Abebe

“…Abstract Background Poor glycemic control increases the risk of acute metabolic derangements and long-term consequences, which are the main causes of morbidity and mortality. Sustaining optimal glycemic control is challenging for children with diabetes, mainly in resource-limited settings. …”
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Safety and effectiveness of non-invasive brain stimulation on mobility and balance function in children with cerebral palsy: a systematic review and meta-analysis by Mengru Zhong, Yage Zhang, Jie Luo, Tingting Chen, Jingbo Zhang, Tingting Peng, Mingshan Han, Wen Le, Tingting Peng, Kaishou Xu

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Effect of glycemic control and type of diabetes treatment on unsuccessful TB treatment outcomes among people with TB-Diabetes: A systematic review. by Hemant Deepak Shewade, Kathiresan Jeyashree, Preetam Mahajan, Amar N Shah, Richard Kirubakaran, Raghuram Rao, Ajay M V Kumar

“…An Indian study reported 30% fewer unsuccessful treatment outcomes (aOR (0.95 CI): 0.72 (0.64-0.81)) and 2.8 times higher odds of 'no recurrence' (aOR (0.95 CI): 2.83 (2.60-2.92)) among patients with optimal glycemic control at baseline. …”
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Lateralization and distalization shoulder angles may not predict clinical outcomes in reverse total shoulder arthroplasty: a systematic review and meta-analysis by Serkan Surucu, MD, Ahmet E. Okutan, MD, Michael S. Lee, BA, James S. MacLeod, BS, Jacob D. Kodra, BA, Scott Fong, BA, Jay Moran, MD, Kenneth Donohue, MD, Alexander R. Graf, MD, Andrew E. Jimenez, MD

“…Results: After screening, 4 studies met inclusion criteria, representing a total of 974 shoulders with a minimum follow-up of 24 months. …”
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Do Meta‐Analyses of Total Hip Arthroplasty Produce Reliable Results? A Systematic Review and Meta‐Epidemiological Study of Statistical Methods by Nikolai Ramadanov, Maximilian Voss, Radharani Michelle Diallo, Jonathan Lettner, Hassan Tarek Hakam, Robert Prill, Roland Becker, Robert Hable

“…ABSTRACT Background Total hip arthroplasty (THA) is a highly successful orthopedic procedure, with numerous meta‐analyses published to optimize its outcomes. …”
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The global burden of disease attributable to suboptimal fruit and vegetable intake, 1990–2021: a systematic analysis of the global burden of disease study by Xiang Xu, Pengguang Yan, Wenjin Chen, Wei Wei, Blake Thomson, Shuaizhi Ruan, Zhong Cao, Chengzhu Ou, Pascal Geldsetzer, Taotao Han, Jing Wang, Simiao Chen, Jingnan Li

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Shorter versus longer-duration antibiotic treatments for immunocompetent patients with bloodstream infections: a systematic review and meta-analysisResearch in context by Ming Liu, Ya Gao, Li Zheng, Zhifan Li, Liang Yao, Jianguo Xu, Qingyong Zheng, Ping Zeng, Jinhui Tian

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Pharmacological agents for procedural sedation and analgesia in patients undergoing gastrointestinal endoscopy: a systematic review and network meta-analysisResearch in context by Jiaxin Li, Yue Liu, Siyu Chen, Xiaowen Dai, Jiang Wang

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Global, regional, and national burden of maternal disorders, 1990–2021: a systematic analysis from the global burden of disease study 2021 by Jie Huang, Yuanyuan Man, Zan Shi, Xiaojie Fu, Wenhao Shi, Xiaoling Liang

“…The Global Burden of Disease Study (GBD), recognized as the most comprehensive epidemiological surveillance system, provides critical evidence for optimizing maternal health policies through systematic quantification of disease burden patterns. …”
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Conundrum of Cholesterol Management and Health Implications of Low Cholesterol Levels: A Narrative Review by Subodh Bashyal, Manoj Karki, Deepa Shah

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Reduced-Order Model of a Time-Trial Cyclist Helmet for Aerodynamic Optimization Through Mesh Morphing and Enhanced with Real-Time Interactive Visualization by E. Di Meo, A. Lopez, C. Groth, M. E. Biancolini, P. P. Valentini

“…The present study focuses on the development of a methodology for the aerodynamic optimization of a time-trial helmet through the implementation of a reduced-order model, alongside advanced simulation techniques, such as computational fluid dynamics, radial basis functions, mesh morphing, and response surface methodology. …”
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Characteristics of the Approximate-Optimal Training Indicators of Goalkeepers in Modern Football by Igor Doroshenko, Andrii Svatyev, Valerij Shamardin, Bogdan Khorkavyy, Daria Vaniuk, Eduard Doroshenko

“…Objectives. Is to systematize data on determining approximate and optimal indicators of training activities of goalkeepers in football at different stages of sports improvement in order to improve their training. …”
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Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation by Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, Maurizio Spadavecchia, Paolo Affuso, Nicola Giaquinto

“…Experimental results on two different publicly available datasets—the SWED and SNOWED—demonstrate that deep learning models trained on optimized datasets outperform those trained on baseline datasets, achieving significant improvements in segmentation accuracy, with up to a 10% increase in mean intersection over union, despite a reduced dataset size. …”
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Filtering Process to Optimize the Technical Data of Prototype Race Cars by Attila Szántó, Éva Ádámkó, Gusztáv Áron Sziki

“…To enhance the efficiency of both vehicle design and competitive performance, the authors previously developed a modular technical data optimization software. …”
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Optimizing the Material Extrusion Process for Investment Casting Mould Production by Pablo Rodríguez-González, Pablo Zapico, Sofía Peláez-Peláez, María Ángeles Castro-Sastre, Ana Isabel Fernández-Abia

“…The study concludes that PLA patterns manufactured via optimized MEX parameters provide a precise, cost-effective, and easy-to-implement solution for industry applications. …”
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Analysis and Optimization of Vertical NPN BJT for Strong Magnetic Fields by Xinfang Liao, Kexin Guo, Changqing Xu, Yi Liu, Fanxin Meng, Junyi Zhou, Rui Ding, Juxiang Li, Kai Huang, Yintang Yang

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Bibliometric Analysis of Optimal Scheme Selection for Water Conservancy Projects by ZHANG Boyang

“…Water conservancy projects are closely related to people's livelihood.This study aims to systematically analyze the current situation of research on optimal scheme selection for water conservancy projects and explore the related research methodology.To achieve these goals,we make a bibliometric analysis based on the literature on optimal scheme selection for water conservancy projects which is included in China National Knowledge Infrastructure (CNKI),a hotspot clustering analysis with the help of the visual analysis function of VOSviewer,and an analysis of the number of published papers depending on the annual loss statistics of flood disasters in China.Cluster analysis includes two aspects:co-authorship in China and keyword co-occurrence. …”
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The optimal substrate choice for effective biosensors based on THz metasurfaces by Pradeep Tiwari, Deepak Kala, Maciej Sakowicz

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