The Response of Sensitive LULC Changes to Runoff and Sediment Yield in a Semihumid Urban Watershed of the Upper Awash Subbasin Using the SWAT+ Model, Oromia, Ethiopia by Bekan Chelkeba Tumsa

“…Agriculture and urbanization both increased at 7.1% and 7.95%, respectively. In contrast, the forest area decreased by 8.8% and shrubland by 3.25% from 2000 to 2020. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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Jilin Province of China, 1949–1979: History of Regional and Demographic Development by Svetlana B. Makeeva

“…Jilin’s regional and demographic development from 1949 to 1979 was characterized by increased birth and decreased mortality rates, rapid population growth and that of urban areas, accelerated urbanization, and migrations from other provinces to industrial, forest and rural territories of Jilin. …”
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De novo transcriptome assembly and discovery of drought-responsive genes in white spruce (Picea glauca). by Zoé Ribeyre, Claire Depardieu, Julien Prunier, Gervais Pelletier, Geneviève J Parent, John Mackay, Arnaud Droit, Jean Bousquet, Philippe Nolet, Christian Messier

“…Forests face an escalating threat from the increasing frequency of extreme drought events driven by climate change. …”
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Prevalence of Undiagnosed Diabetes and Prediabetes in the Dental Setting: A Systematic Review and Meta-Analysis by Alagesan Chinnasamy, Marjory Moodie

“…Proportions were presented in tables and forest plots. All statistical analysis was performed using the MedCalc software. …”
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Multi-Scenario Simulation Evaluation and Strategic Zoning of Habitat Services Based on Habitat Quality and Ecological Network: A Case Study of Lanzhou City by Jin Shi, Xianglong Tang

“…The factors that have the most significant impacts on cultivated land, forests, shrubs, construction land, and bare land are GDP, precipitation, temperature, population density, and NDVI, respectively. …”
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Identification and Characterization of Novel Perivascular Adventitial Cells in the Whole Mount Mesenteric Branch Artery Using Immunofluorescent Staining and Scanning Confocal Micro... by Chandra Somasundaram, Rahul K. Nath, Richard D. Bukoski, Debra I. Diz

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Genome-wide identification and expression analysis of the WRKY gene family in Mikania micrantha by Zihan Zhang, Mei Ji, Sangzi Ze, Wenzheng Song, Bin Yang, Ning Zhao

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Cognitive Stimulation for Apathy in Probable Early-Stage Alzheimer's by Linda L. Buettner, Suzanne Fitzsimmons, Serdar Atav, Kaycee Sink

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Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models by Ramesh Venkatesh, Priyanka Gandhi, Ayushi Choudhary, Gaurang Sehgal, Kanika Godani, Shubham Darade, Rupal Kathare, Prathiba Hande, Vishma Prabhu, Jay Chhablani

“…Following training and internal validation, the random forest (RF) model achieved the highest accuracy (0.92), precision (0.94), recall (0.97), and F-score (0.96), and lowest misclassification rate. …”
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Upsilococconeis dapalistriata gen. nov. & comb. nov. (Bacillariophyta) – a pantropical marine member of Cocconeidaceae by Riaux-Gobin Catherine, Witkowski Andrzej, Risjani Yenny, Yunianta Yunianta, Berteaux-Lecellier Véronique, Kryk Adrian, Peszek Łukasz, Daniszewska-Kowalczyk Genowefa

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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…The performance of the LSTM+MA is compared with other state-of-the-art models, including logistic regressor (LR), support vector regressor (SVR), random forest (RF), K-nearest-neighbor regressor (KNR), fully connected neural network (FNN), XGBoost (XGB), recurrent neural network (RNN) and LSTM. …”
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Technique for Segmentation and Selection of Biomedical Images by Vladimir Zh. Kuklin, Leonid M. Chervyakov, Andrei N. Ruslantsev, Tagirbek G. Aslanov

“…The developed algorithm simplifies the procedure of partitioning the training base for the classifier owing to the use of the feature vectors. A random forest algorithm was used for image classification, followed by boundary refinement using a Markov field. …”
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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning. by Ji-Ying Chen, Wu-Jie Chen, Zhi-Ying Zhu, Shi Xu, Li-Lan Huang, Wen-Qing Tan, Yong-Gang Zhang, Yan-Li Zhao

“…Three machine learning models, logistic regression, random forest, and support vector machine, showed that screened biomarkers had better classification ability and effect. …”
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Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…As the third step, we assess the influence of multiple models with varying assumptions, showing that a doubly robust estimator (AIPW) with random forests proved to be the most reliable estimator. …”
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Predicting the Birth Delivery Mode: Uncovering the Link Between EHG Topological Features and BMI by Rubana Hoque Chowdhury, Quazi Delwar Hossain, Mohiuddin Ahmad

“…All of the features reached an accuracy above 90% in the classification using a random forest classifier between cesarean and vaginal deliveries across all BMI groups. …”
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JAPANESE IRIS (IRIS ENSATA THUNB.) IN SOUTHERN WEST SIBERIA by Z. V. Dolganova

“…Japanese varieties were successfully introduced under forest-steppe conditions of the Altai Territory at the Lisavenko RI of Horticulture for Siberia (RIHS), and then breeding was conducted with the participation of retro varieties developed in 1980–1982. …”
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Chromosome-level genome assembly of a destructive leaf-mining moth Eriocrania semipurpurella alpina by Gui-fang Wang, Jin-wu He, Cheng Sun, Xue-yan Li, Pei-feng Qi, Dan-dan Feng, Cai-qing Yang, Ai-bing Zhang

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Analysis of Apple Flavours: The Use of Volatile Organic Compounds to Address Cultivar Differences and the Correlation between Consumer Appreciation and Aroma Profiling by Gareth Roberts, Natasha D. Spadafora

“…Permutational multivariate analysis of variance (PerMANOVA) and canonical analysis of principal coordinates (CAP) done on the whole volatile organic compound profiles show separation of the four cultivars. The use of random forest classification enabled the determination of a minimum set of fifteen potential VOC markers that successfully differentiate the cultivars under study. …”
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Correlation between Soil Organic Matter, Total Organic Matter and Water Content with Climate and Depths of Soil at Different Land use in Kelantan, Malaysia by A Azlan, ER Aweng, CO Ibrahim, A Noorhaidah

“…The correlation of soil organic matter (SOM) content, total organic carbon (TOC) content, water content and soils texture for industrial area at Pengkalan Chepa, township of Kota Bharu district, agricultural area at Banggu and forested area in UMK, Jeli were investigated. These data sets were also correlated to temporal event in Kelantan State. …”
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