Exploring the Prevalence and Components of Metabolic Syndrome in Sub-Saharan African Type 2 Diabetes Mellitus Patients: A Systematic Review and Meta-Analysis by Nelson Musilanga, Hussein Nasib, Given Jackson, Frank Shayo, Clarkson Nhanga, Saleh Girukwigomba, Ambokile Mwakibolwa, Samson Henry, Keneth Kijusya, Edgar Msonge

“…The summary estimates were presented with forest plots and tables. Publication bias was checked with the funnel plot and Egger’s regression test. …”
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The association of origin and environmental conditions with performance in professional IRONMAN triathletes by Beat Knechtle, Mabliny Thuany, David Valero, Elias Villiger, Pantelis T. Nikolaidis, Marilia S. Andrade, Ivan Cuk, Thomas Rosemann, Katja Weiss

“…Three different ML models were built and evaluated, based on three algorithms, in order of growing complexity and predictive power: Decision Tree Regressor, Random Forest Regressor, and XG Boost Regressor. Most of the athletes originated from the USA (1786), followed by athletes from Germany (674), Canada (426), Australia (396), United Kingdom (342), France (325), and Switzerland (276). …”
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Conservation in action: Cost-effective UAVs and real-time detection of the globally threatened swamp deer (Rucervus duvaucelii) by Ravindra Nath Tripathi, Karan Agarwal, Vikas Tripathi, Ruchi Badola, Syed Ainul Hussain

“…This study exemplifies how combining UAVs with deep learning can facilitate species monitoring and population count estimation and be adopted by forest managers to support conservation decisions.…”
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Long-acting family planning uptake and associated factors among women in the reproductive age group in East Africa: multilevel analysis by Ermias Bekele Enyew, Abiyu Abadi Tareke, Habtamu Setegn Ngusie, Mulugeta Desalegn Kasaye, Shimels Derso Kebede, Mahider Shimelis Feyisa

“…The pooled prevalence of long-acting contraceptive uptake with a 95% confidence interval (CI) was reported and presented in a forest plot for East African countries using STATA version 14.1. …”
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Effects of functional diversity on ecosystem services in cocoa agroforestry systems in Costa Rica by Cassio Pinheiro Edelstein, Marney E. Isaac, Marney E. Isaac, Luis Orozco-Aguilar, Felipe Peguero, Felipe Peguero, Diego Delgado-Rodríguez, Rolando H. Cerda

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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…The models were evaluated, and a comparative analysis revealed that the ensemble Random Forest (RF) model (PubChem fingerprints) with RMSE (0.731), R² (0.622), and MAPE (8.988) and bootstrap aggregating model (MACCS fingerprints) with RMSE (0.687), R² (0.666), and MAPE (9.216) on the testing set performed well, in accordance with the Organization for Economic Cooperation and Development (OECD) guidelines. …”
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Capital formation and production of carbon emissions in low-carbon development by E.S. Siregar, S.U. Sentosa, A. Satrianto

“…Low carbon development is a new platform to maintain economic growth through reducing carbon emissions and reducing the use of natural resources, because it was predicted that reducing emissions will increase economic growth while preventing forest loss, improving air quality and living standards, and reducing mortality rates.METHODS: Utilizing a quantitative method, this study integrates a novel viewpoint by combining low-carbon development with related emission factors. …”
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Contenidos de nitrógeno y fósforo del suelo ante un cambio de cobertura y condición topográfica by S.I. Besteiro, A.I.B. Descalzo

“…Los resultados obtenidos revelan que los contenidos de fósforo disponible se vieron afectados de forma significativa por los cambios de cobertura del suelo (p-value< 4,00e-06) y la condición topográfica (p-value< 2,55e-06), de modo tal que los mayores contenidos de este nutriente se encuentran en bajas situaciones y cobertura forestal. En cambio, los contenidos de nitrógeno total respondieron únicamente a un cambio de la cobertura (p-value< 1,01e-05), hallándose en mayor proporción bajo las forestaciones. …”
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Accumulation Characteristics and Hydrological Effects of Litter in Mixed Robinia pseudoacacia Plantations by CAO Zetao, DENG Yangxu, TIAN Jing, WANG Bing, LIU Guobin, YANG Yanfen

“…[Objective] Studying the accumulation characteristics and hydrological effects of typical mixed Robinia pseudoacacia plantations is crucial for deeply investigating the water conservation capacity of artificial forests on the Loess Plateau. [Methods] This study focused on five different mixed planting patterns of Robinia pseudoacacia in the loess hilly region, including R. pseudoacacia × Hippophae rhamnoides, R. pseudoacacia × Amorpha fruticosa, R. pseudoacacia × Pinus tabuliformis, R. pseudoacacia × Prunus davidiana, and R. pseudoacacia × Prunus sibirica, with pure R. pseudoacacia plantations serving as a control for comparative analysis. …”
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Hormone replacement therapy, menopausal age and lifestyle variables are associated with better cognitive performance at follow-up but not cognition over time in older-adult women i... by Tamlyn J. Watermeyer, Tamlyn J. Watermeyer, Sarah Gregory, Sarah Gregory, Emmi Leetham, Chinedu T. Udeh-Momoh, Chinedu T. Udeh-Momoh, Chinedu T. Udeh-Momoh, Chinedu T. Udeh-Momoh, Chinedu T. Udeh-Momoh, Graciela Muniz-Terrera, Graciela Muniz-Terrera

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Adaptability of spring oat yield in the environments of the Near-Irtysh area in Omsk Province by P. N. Nikolaev, N. I. Aniskov, O. A. Yusova, I. V. Safonova

“…The experimental part of the work was carried out in 2011–2017 on the experimental fields of Omsk Agrarian Scientific Center located in the southern forest-steppe area. Agricultural practice used in the experiments was conventional for West Siberia. …”
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Identification and validation of respiratory subphenotypes in patients with COVID-19 acute respiratory distress syndrome undergoing prone position by Mônica R. da Cruz, Pedro Azambuja, Kátia S. C. Torres, Fernanda Lima-Setta, André M. Japiassú, Denise M. Medeiros

“…A K-means clustering implementation designed for joint trajectory analysis was utilized for the unsupervised classification of the development cohort. A random forest model was trained on the labeled development cohort and used to validate the subphenotypes in the validation cohort. …”
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Genome-wide identification of short-chain dehydrogenases/reductases genes and functional characterization of ApSDR53C2 in melanin biosynthesis in Arthrinium phaeospermum by Jiao Liao, Yisi Wang, Han Liu, Sijia Liu, Peng Yan, Hang Chen, Shujiang Li, Shujiang Li

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Identification and Characterization of Genes Associated with Intestinal Ischemia-Reperfusion Injury and Oxidative Stress: A Bioinformatics and Experimental Approach Integrating Hig... by Xie Y, Yang M, Huang J, Jiang Z

“…The least absolute shrinkage and selection operator, as well as the support vector machine with random forest algorithm, were utilized for machine learning. …”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Machine learning classifiers, including support vector machine, random forest, adaptive boosting, and k-nearest neighbors, were trained using weak supervision and minority oversampling to handle sparse and imbalanced pain labels. …”
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Engineering of SauriCas9 with enhanced specificity by Xiaoqi Zhang, Chen Tao, Miaomiao Li, Sufang Zhang, Puping Liang, Yan Huang, Huihui Liu, Yongming Wang

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Characteristics of Land Use Change and Evaluation of Ecological Sensitivity in Chongqing by XIE Xianjian, GOU Qiantao, WU Han

“…There had been a significant reduction in both cropland and grassland, while the areas of forest land and urban-rural construction land had increased markedly from 2000 to 2020. (2) Over the course of 20 years, the average value of the comprehensive ecological sensitivity index rose from 1.037 to 1.045, indicating an overall improvement in the ecological environment of the study area. …”
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Wetland degradation monitoring using multi-temporal remote sensing data and watershed land degradation index by I. Ridwan, S. Kadir, N. Nurlina

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Analysis of the CHS Gene Family Reveals Its Functional Responses to Hormones, Salinity, and Drought Stress in Moso Bamboo (<i>Phyllostachys edulis</i>) by Shiying Su, Xueyun Xuan, Jiaqi Tan, Zhen Yu, Yang Jiao, Zhijun Zhang, Muthusamy Ramakrishnan

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The Fabrication and Evaluation of a Potential Biomaterial Produced with Stem Cell Sheet Technology for Future Regenerative Medicine by Shukui Zhou, Ying Wang, Kaile Zhang, Nailong Cao, Ranxing Yang, Jianwen Huang, Weixin Zhao, Mahbubur Rahman, Hong Liao, Qiang Fu

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