Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn’s disease by bioinformatics analysis and machine learning by Wei Chen, Zeyan Xu, Haitao Sun, Wen Feng, Zhenhua Huang

“…Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes and immune infiltration was assessed, and Gene Set Enrichment Analysis (GSEA) of key genes was conducted. …”
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Productivity and socioeconomic sustainability of Bubalus bubalis in the western lowlands of Venezuela by Carlos Alberto Calles Navas, Verena Torres Cardenas

“…In contrast, buffalo farming requires forests. However, to convince farmers to apply this type of livestock; it was necessary to demonstrate its greater profitability. …”
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Análisis histórico de la explotación maderera en las serranías del Pacífico Central de Costa Rica by Eugenio González-J.

“…[Conclusión] La colonización temprana de la región, la existencia de infraestructura, alta demanda de productos forestales en el ámbito nacional e internacional, y la disponibilidad de recursos forestales en una zona donde convergen el bosque seco tropical, el bosque nuboso y el bosque húmedo tropical, y las condiciones edafoclimáticas que facilitaron también el desarrollo de cultivos agrícolas, favorecieron posiblemente el cambio de uso del suelo y, por ende, la explotación forestal de la región. …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…Utilizing the Wisconsin Diagnostic Breast Cancer and Wisconsin Prognostic Breast Cancer datasets, the framework integrates multiple deep learning architectures- Multi layer Perceptron (MLP), Visual Geometry Group (VGG), Residual Network (ResNet), and Extreme Inception (Xception)-with traditional machine learning models such as Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF), and Logistic Regression (LR). This hybridization leads to the creation of 16 robust models that enhance interpretability, facilitate generalization, and effectively manage challenges related to small datasets, class imbalance, and data preprocessing. …”
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Sulfur Hexafluoride (SF6) versus Perfluoropropane (C3F8) in the Intraoperative Management of Macular Holes: A Systematic Review and Meta-Analysis by Idan Hecht, Michael Mimouni, Eytan Z. Blumenthal, Yoreh Barak

“…Publications up to October 2018 that focused on macular hole surgery in terms of primary closure, complications, and clinical outcomes were included. Forest plots were created using a weighted summary of proportion meta-analysis. …”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…To assess the presented IX-CNN model performance, different classifiers, namely, support vector machine (SVM), decision tree (DT) and random forest (RF), were used. The experiments used six datasets, including PlantVillage, Turkey Disease, Plant Doc, Rice Disease, RoCole, and NLB datasets. …”
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The Use of Novel Alginate Capsules in a Monitoring System for <i>Drosophila suzukii</i> in a Cherry Orchard in the Region of La Araucanía, Chile by Marcelo Lizama, Fernando Manuel Alves-Santos, Luis Manuel Navas-Gracia, Daniel Martínez-Cisterna, Cristian Medina, Ramón Rebolledo, Manuel Chacón-Fuentes, Leonardo Bardehle

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A Systematic Review and Network Meta-Analysis of Biomedical Mg Alloy and Surface Coatings in Orthopedic Application by XinYue Lu, HongXin Cai, Yu Ru Li, Xinru Zheng, Jiahao Yun, Wenhui Li, XiaoYu Geng, Jae-Sung Kwon, Heng Bo Jiang

“…Network structure and forest plots were created, and ranking probabilities were estimated. …”
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A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols by Nicolas Francos, Daniela Heller-Pearlshtien, José A. M. Demattê, Bas Van Wesemael, Robert Milewski, Sabine Chabrillat, Nikolaos Tziolas, Adrian Sanz Diaz, María Julia Yagüe Ballester, Asa Gholizadeh, Eyal Ben-Dor

“…A machine-learning TF strategy was developed, assembling random forest (RF) spectral-based models to predict the ISS spectral condition using soil samples from two existing SSLs. …”
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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework by Mingyue Xue, Yinxia Su, Chen Li, Shuxia Wang, Hua Yao

“…Combined with the risk factors selected by LR, we used a decision tree, a random forest, AdaBoost with a decision tree (AdaBoost), and an extreme gradient boosting decision tree (XGBoost) to identify individuals with T2DM, compared the performance of the four machine learning classifiers, and used the best-performing classifier to output the degree of variables’ importance scores of T2DM. …”
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DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW by Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri

“…They are Naive Bayes, K-Nearest Neighbour, Support Vector Machine, Random Forest, and Decision Tree. The findings of this study would assist the government, college tutors, and student teachers in making better decisions to improve ICT performance for pre-service and in-service teachers. …”
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The efficacy of chelated micronutrient fertilisers in tomato cultivation by Volodymyr Sievidov, Oksana Serhienko, Ivan Lebedynskyi, Igor Sievidov

“…The research, conducted during 2018-2021 in film greenhouses at the experimental site of the State Biotechnological University, located in the south eastern part of the Left-Bank Forest-Steppe of Ukraine, examined the F1 indeterminate tomato hybrids Berberana (early maturity) and Bostina (mid-early maturity). …”
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Resistance of old winter bread wheat landraces to tan spot by N. V. Mironenko, N. M. Kovalenko, O. A. Baranova, O. P. Mitrofanova

“…Vavilov: “steppe winter bread wheat (Banatka wheats)”, “North European forest awnless bread wheats (Sandomirka wheats)”, and “Caucasian mountain winter bread wheat”.Conclusion. …”
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Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China by Shaoqiu Chen, Zitong Gao, Ling Hu, Yi Zuo, Yuanyuan Fu, Meilin Wei, Emory Zitello, Gang Huang, Youping Deng

“…A prediction model was established using random forest. Results. The mortality of septic shock and nonshock patients with COVID-19 was 96.7% (29/30) and 3.8% (7/182). …”
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Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery by Isiaka Lukman Alage, Yumin Tan, Ahmed Wasiu Akande, Agus Suprijanto

“…Addressing these challenges, we propose an innovative approach that integrates spatial and temporal features for biannual deforestation mapping using synthetic aperture radar data in hotspots, study site 1 (Akure) and study site 2 (Okomu) forest reserve (First and second halves of 2020, 2021, 2022, and 2023). …”
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Spatiotemporal Relationship Between Carbon Metabolism and Ecosystem Service Value in the Rural Production–Living–Ecological Space of Northeast China’s Black Soil Region: A Case Stu... by Yajie Shang, Yuanyuan Chen, Yalin Zhai, Lei Wang

“…The flow of ecological value from forest ecological space to cropland production space represents the main loss pathway. (4) A significant negative correlation exists between carbon metabolism density and ESV, with areas of high correlation predominantly centered around cropland production space. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…For comparison, we also tested multiple traditional machine learning models including logistic regression, random forest, and eXtreme Gradient Boosting (XGBoost). Model performance was assessed by area under the curve (AUC) values, precision, and recall on an independent testing dataset. …”
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Comparison of the efficacy of seven non-surgical methods combined with mechanical debridement in peri-implantitis and peri-implant mucositis: A network meta-analysis. by Yingjie Bai, Shengao Qin, Bingshuai Lu, Weiyi Wang, Guowu Ma

“…Network meta-analyses include network plots, paired comparison forest plots, league tables, funnel plots, surface under the cumulative ranking area (SUCRA) plots, and sensitivity analysis plots. …”
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Identifikasi Hama dan Penyakit Pada Tanaman Anggrek Bulan (Phalaenopsis amabilis) by Ari Monawati, Desi Rhomadhoni, Nur Rokhimah Hanik

“…It is estimated that worldwide there are around 15,000-20,000 species of orchids with 900 genera (clans) that grow endemic to forests scattered in various countries. Of all orchid species in the world, 5,000 of them are in Indonesia. …”
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Aroma profile of two commercial truffle species from Yunnan and Sichuan, China: inter- and intraspecific variability and shared key compounds by Bin Lu, Jesús Perez-Moreno, Fengming Zhang, Andrea C. Rinaldi, Fuqiang Yu

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