Zika, a Mosquito-Transmitted Virus by L. Phil Lounibos, Barry W. Alto, Nathan D. Burkett-Cadena, Cynthia C. Lord, Chelsea T. Smartt, C. Roxanne Rutledge Connelly, Jorge R. Rey

“…In its native range in West Africa and Uganda, the Zika virus stays in the forest for the most part, and human infections are considered incidental and medically inconsequential. …”
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Identification of Malignancy-Associated Changes in Histologically Normal Tumor-Adjacent Epithelium of Patients with HPV-Positive Oropharyngeal Cancer by James Jabalee, Anita Carraro, Tony Ng, Eitan Prisman, Cathie Garnis, Martial Guillaud

“…Measurements of 89 nuclear features were used to train a random forest-based classifier to discriminate between normal and tumor nuclei. …”
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Control y Biología del Helecho Trepador Japonés (Lygodium japonicum) by Elsa D. Chevasco, Patrick J. Minogue, Kimberly K. Bohn, Francisco Escobedo

“…Bohn, and Francisco Escobedo, and published by the UF Department of School of Forest Resources and Conservation, November 2016. …”
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Interaction between Bees and the Tristylous Flowers of Oxalis cytisoides Mart. & Zucc. (Oxalidaceae) by Cristiane Krug, Cláudia Inês Silva, Isabel Alves-dos-Santos

“…The study was conducted in a semideciduous forest at the Fritz Plaumann State Park in Concórdia, Santa Catarina state. …”
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Genetic variability and association analyses of morphological and biochemical traits in Tamarindus indica L. clones by A. Mayavel1*, J. Padmanaban2, A. Nicodemus1, B. Nagarajan1, C. Bagathsingh1, M. Akshayasri1, G. Radha Krishnan 1 and M. Amaravel1

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A Novel Statistical Feature Analysis-Based Global and Local Method for Face Recognition by Mohammed Ahmed Talab, Suryanti Awang, Mohd Dilshad Ansari

“…The developed technique has achieved the accuracy of 94.54% when a random forest classifier is used, hence outperforming other techniques such as the gray-level co-occurrence matrix (GLCM), bag of word (BOW), and fuzzy local binary pattern (FLBP), respectively.…”
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Streptomyces griseiviridis sp. nov., a Novel “Modern Actinobacteria” isolated from Malaysia Mangrove Soil by Jodi Woan Fei Law, Loh Teng-Hern Tan, Vengadesh Letchumanan, Kar-Wai Hong, Hooi-Leng Ser, Bey-Hing Goh, Nurul Syakima Ab Mutalib, Kok-Gan Chan, Learn-Han Lee

“… A novel strain, Streptomyces griseiviridis MUM 136JT was recovered from a mangrove forest soil in Malaysia. The Gram-positive bacterium forms strong yellow aerial mycelium and moderate yellow substrate mycelium on ISP 2 agar. …”
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Somatic embryogenesis in Larix: the state of art and perspectives by V. N. Shmakov, Yu. M. Konstantinov

“…The industrial use of such genetically verified clone lines in forestry can significantly increase forest productivity compared to any conventional methods for improving tree crops that are available. …”
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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

“…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. …”
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Cropland non-agriculturization and agricultural green development: Evidence from the Yangtze River Economic Belt, China by Chunxia Zhu, Yangyang Sun, Haolun Xu

“…The results reveal that the CLN in the YEB is predominantly manifested through the conversion of cropland to forest and construction land, exhibiting a decelerating trend and pronounced spatial disparities. …”
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An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks by Selvam Saravanan, Uma Maheswari Balasubramanian

“…The training time of distributed random forest algorithm is also studied by varying the number of cores in Apache Spark environment.…”
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Time Series Trend Analysis of Fire Frequency in Natural Resources Relative to Vegetation Canopy Cover using MODIS Data Products (Case Study: Lorestan Province) by Akram Alinia, Amir Gandomkar, Alireza Abasi

“…This range of vegetation generally corresponded to rainfed lands, weak pastures and low-density forest patches…”
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Impact of nutrition education on nutrition knowledge, attitudes, and practices among adolescent girls in Bogor, Indonesia by Widya Azhari Salma, Tande Ribka, Azmi Zaqia Zulfani Zahida, Ramadani Elvy, Rahmah Dinitya Khalishah, Fauziah Toruntju Ainun, Kustiyah Lilik, Anna Marliyati Sri, Hardinsyah, Cahya Alam Duta

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Monitoring Agricultural Land Changes in Peri-Urban Oran, Algeria: A Mixed Methods Analysis by Rabia Samah Choukri, Tarik Ghodbani, Muhammad Salem

“…The methodology encompasses five main tasks: (1) data collection and identification of significant temporal markers, (2) implementation of a Random Forest classification using medium resolution Landsat imagery, (3) assessment of the extent and patterns of agricultural land changes, (4) Evaluation of relevant planning documents, (5) field work, including stakeholders interviews and focus groups. …”
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Using electro-inductive sensor to trace moving and non-moving objects tracked by S. S. Kolmogorova, S. V. Biryukov

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The Real-Time Prediction of Cracks and Wrinkles in Sheet Metal Forming According to Changes in Shape and Position of Drawbeads Based on a Digital Twin by Sarang Yi, Daeil Hyun, Seokmoo Hong

“…A digital twin was developed to predict the sheet metal forming process using Support Vector Machine, Random Forest, Gradient Boosting Machine, and Artificial Neural Networks. …”
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Associations between Ozone and Emphysema: A Systematic Review and Meta-analysis by Amja Manullang, Yueh-Lun Lee, Vincent Laiman, Jer-Hwa Chang, Hsiao-Chi Chuang

“….: particulate matter, nitrogen oxides and ozone), and the results were visualized in forest plots. We observed that a 1-ppb rise in O3 was associated with a 0.30 increase in the percent emphysema progression (95% CI: 0.02, 0.57, p < 0.05). …”
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TRAUMATIC CERVICAL SPINAL CORD INJURY. IS URGENT INTERVENTION SUPERIOR TO DELAYED INTERVENTION? A META-ANALYSIS EVALUATION by I Ketut Martiana, Donny Permana, Lukas Widhiyanto

“…The data was presented in odd ratio (OR) and confidence interval (CI) and were further analyzed by forest plot. Results: From PubMed, there were 353 articles, Embase 2 articles, and Cochrane 594 articles, but only 3 articles which fulfilled the inclusion criteria. …”
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Machine Learning and Multi-Omics Integration to Reveal Biomarkers and Microbial Community Assembly Differences in Abnormal Stacking Fermentation of Sauce-Flavor <i>Baijiu</i> by Shuai Li, Yueran Han, Ming Yan, Shuyi Qiu, Jun Lu

“…This study used three machine learning models (Logistic Regression, KNN, and Random Forest) combined with multi-omics (metagenomics and flavoromics) to develop a classification model for abnormal fermentation. …”
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The Impact of Positive Fluid Balance on Sepsis Subtypes: A Causal Inference Study by Sharad Patel, Adam Green, Yanika Wolfe, Gregory Felock, Samantha Epstein, Nitin Puri

“…Binarized positive fluid balance with mortality was examined using DoWhy’s logistic regression, while continuous data were analyzed with random forest T-learner. ATE served as the primary metric. …”
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