To the Issue of Clarifying the Chronology and Cultural Features of the Vyatka River Neolithic by Tatiana M. Gusentsova

“…Cultural and chronological features of Neolithic sites indicate their relationship with the forest steppe Volga, Middle Volga and Kama regions.…”
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The performance of the weather research & forecasting model (WRF) using ensemble method to predict weather parameters by Pratama Alvin, Oktaviana Ade A., Kombara Prawira Y., Isnaenda Ikhsan Muhammad

“…The model was run for five days in 2019 during a forest fire episode in Riau Province. The analysis was carried out by looking at the values of the correlation coefficient, root mean square error (RMSE), and bias. …”
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Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI by Yongwei Yuan, Xinsheng Wang, Fang Yin, Jinyan Zhan

“…Besides, the coefficients of different land cover types are very heterogeneous, and LAI of the needleleaf forest shows strong correlation with H, while that of the cropland shows weak correlation with H. …”
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Research on Influencing Factor Selection of Pilot’s Intention by Haibo Wang, Ting Pan, Haiqing Si, Yao Li, Naiqi Jiang

“…Pilot’s intention is taken as the study object in this paper; physiological-psychological-physical parameters are obtained through analyzing their influencing factors from the simulating flight experiments designed. The random forest analysis method is used to rank the main influencing factors affecting the pilot’s intention, and the factor sequence is formed. …”
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Characterizing Middle Grade Students’ Integrated Alternative Science Knowledge about the Effects of Climate Change by Sarah Jennings Fick, Nancy Butler Songer

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Evaluation of the Contribution of Deposited Precipitation by Jaroslav Fišák, Miroslav Tesař

“…Present paper summarizes the results of measurements of deposited and falling precipitation in three localities: Suchdol, Prague (capital of the Czech Republic), Poledník (Bohemian Forest), and Smĕdava (the Jizerské hory Mts.). Two later introduced stations are situated in the mountainous part of the Czech Republic. …”
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A General Local Reconstruction Approach Based on a Truncated Hilbert Transform by Yangbo Ye, Hengyong Yu, Yuchuan Wei, Ge Wang

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Facilitating Community Change: Lessons from Climate Adaptation to Guide Extension Engagement by Martha C. Monroe, Annie Oxarart, Holly Abeels, Wendy-Lin Bartels, Alicia Bradigan-Betancourt, Crystal Goodison, Thomas Ruppert

“… This 19-page publication written by Martha Monroe and Annie Oxarart and published by the UF/IFAS School of Forest Resources and Conservation provides Extension faculty in Florida with useful strategies to help communities understand, discuss, evaluate, and recommend potential solutions to current and future problems. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
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Detection of Data Integrity Attack Using Model and Data-Driven-Based Approach in CPPS by G. Y. Sree Varshini, S. Latha

“…The convolutional neural network- (CNN-) based data-driven anomaly detection technique outperforms other machine learning (ML) techniques such as support vector machine (SVM), K-nearest neighbour (KNN), and random forest (RF). On the WSCC 3 machine 9-bus system, the efficacy of the suggested methods is evaluated.…”
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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…An ensemble of six tree-based classifiers, including decision trees, random forest, Stochastic Gradient Boosting, LightGBM, CatBoost, and Extra Trees, is trained in both phases. …”
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Chronological Levels of As, Pd, V, and Sr in 356-year-old Pinus nigra Annual Rings in Northern Türkiye by İsmail Koç

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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

“…Relationships between Twitter-obtained features and BIST indices were analyzed using machine learning methods such as linear regression, Lasso regression, random forest, and XGBoost. The analysis revealed that 91% of the change in the opening value, 63% of the change in trading volume, and 67% in volatility of the BIST 100 index could be attributed to cognitive, behavioral, and social features gleaned from tweets.…”
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Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Mengya Cao

“…To complete this project, the author used Linear Regression, LASSO, Regression Trees, Bagging, Random Forest, and Boosted Trees to perform the analysis. …”
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Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 3: Structural Strategies by Quenton M. Tuckett, Carlos V. Martinez, Jared L. Ritch, Katelyn M. Lawson, Jeffery E. Hill

“…Hill, and published by the School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, August 2016. …”
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Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms by Jeffry M. Flenniken, Steven Stuglik, Basil V. Iannone

“…Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. …”
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The Lignicolous Fungus Hericium erinaceus (Lion’s Mane Mushroom): A Promising Natural Source of Antiradical and DPPH Inhibitory Agents by Akbar Jahedi, Saeideh Ahmadifar, Rahman Mohammadi, Ebrahim Mohammadi Goltapeh

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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…In this work, Random Forest Regressor (RFR), Multi-Layer Perceptron Regressor(MLPR), and Support Vector Regression (SVR) models were employed to predict the magnitude of greater than 6 mb earthquakes that occurred in the year 2015 in the central Himalaya. …”
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Preeclampsia and Stroke: Risks during and after Pregnancy by Cheryl Bushnell, Monique Chireau

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Życie rodzinne jako forma doświadczenia religijnego by Dariusz Tułowiecki, Anna Czyżkowska

“…The space of experience considered religious and serving as a component of new spirituality might be a forest,  a sport activity, a city, a library, or a historic space. …”
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