PICEA ABIES: GERMINATION AND DEVELPOMENT OF SEEDLINGS IN DIFFERENT SUBSTRATE TYPES AND TREATMENTS by Cornel Negrușier, Orsolya Borsai, Steluța-Maria Sîngeorzan, Ervin Kremer, Alexandru Colișar, Vasile Ceuca

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COMPARISON OF METHODS FOR OBTAINING GENETIC DIVERSITY FOR BREEDING WINTER-HARDY WHEAT IN SIBERIA by V. E. Kozlov

“…Hereditary changes in wheat accessions in two consecutive generations both in the forest-steppe under the influence of gibberellins and in the steppe under the effect of moderate to severe frosts are likely to have a regulatory epigenetic nature.…”
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Effect of Environmental Factors on Germination and Emergence of Invasive Rumex confertus in Central Europe by Jeremi Kołodziejek, Jacek Patykowski

“…Rumex confertus is a biennial species native to Eastern Europe and Asia, where it thrives on meadow-steppes and glades in forest-steppe. This species has increased its range rapidly within central Europe, yet its biology is not well understood, which has led to poorly timed management. …”
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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes by Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, Karen C. Short, Jacquelyn Shuman, Amir AghaKouchak, Matthew Williamson, Seyd Teymoor Seydi, Mojtaba Sadegh

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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

“…The stacked model, which incorporates gradient boosting and random forest as baseline models, was meticulously tuned for parameter optimization. …”
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Spatial Spread of Tuberculosis through Neighborhoods Segregated by Socioeconomic Position: A Stochastic Automata Model by David Rehkopf, Alice Furumoto-Dawson, Anthony Kiszewski, Tamara Awerbuch-Friedlander

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Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…Moreover, various machine-learning models (Random Forest (RF), Gradient Boosted, CatBoost, and artificial neural networks (ANN)) were evaluated to predict CO conversion and C8-C16 selectivity. …”
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A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma by Runhan Zhao, Zefang Li, Yanran Huang, Chuang Xiong, Chao Zhang, Hao Liang, Jingtao Xu, Xiaoji Luo

“…Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. …”
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Residential Environment Induced Preference Heterogeneity for River Ecosystem Service Improvements: A Comparison between Urban and Rural Households in the Wei River Basin, China by Hengtong Shi, Minjuan Zhao, Fanus Asefaw Aregay, Kai Zhao, Zhide Jiang

“…However, they have statistically significant different utility for water quality, water quantity, forest coverage, ecotourism improvements, and reducing soil erosion intensity. …”
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Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models by Sourav Kumar Bhoi, Chittaranjan Mallick, Chitta Ranjan Mohanty, Ranjan Soumya Nayak

“…The supervised ML models taken in this work are Decision Tree (DT), Neural Network (NN), k-Nearest Neighbor (k-NN), Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF). The predictions of the models are evaluated using Orange 3.26 data analytics tool. …”
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Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches by Alaa Khadidos, Adil Khadidos, Olfat M. Mirza, Tawfiq Hasanin, Wegayehu Enbeyle, Abdulsattar Abdullah Hamad

“…Classically, researchers in this field of radiomics have used conventional machine learning techniques (random forest, for example). More recently, deep learning, a subdomain of machine learning, has emerged. …”
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NADPH Oxidase versus Mitochondria-Derived ROS in Glucose-Induced Apoptosis of Pericytes in Early Diabetic Retinopathy by Nik M. Mustapha, Joanna M. Tarr, Eva M. Kohner, Rakesh Chibber

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Plant Extract Valorization of Melissa officinalis L. for Agroindustrial Purposes through Their Biochemical Properties and Biological Activities by Mouna Souihi, Rayda Ben Ayed, Imen Trabelsi, Marwa Khammassi, Nadia Ben Brahim, Mohamed Annabi

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LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification by Nimisha Ghosh, Sankar Kumar Mridha, Rourab Paul

“…To identify such biomarkers, initially LASSO in association with four machine learning models such as Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN) and Naive Bayes (NB) are applied on the dataset to find the initial reduced set of genes as well as the best learning model based on classification accuracy; SVM in this case. …”
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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization. by Weihao Wang, Wei Zhu, Janos Hajagos, Laura Fochtmann, Farrukh M Koraishy

“…We conducted a retrospective cohort study on patients hospitalized at Stony Brook University Hospital in 2020 who were followed for 36 months post discharge. Random Forest (RF) identified the top ten features associated with fast eGFR decline. …”
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The Role of Siak District Library and Archives Office in Disaster Mitigation by Yazid Tantri Puspita, Salam Noor Efni, Iskandar Dahrial, Hardianti Fitri, Elsarena Mai Sela Rosa, Wahidar Tutut Ismi

“…Some disasters that are indicated to have a more frequent frequency level in Siak include floods, extreme weather, extreme heat waves, abrasion, forest and land fires, drought, disease outbreaks, earthquakes to landslides. …”
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Tilapia Lake Virus (TiLV): a Globally Emerging Threat to Tilapia Aquaculture by Lowia Al-Hussinee, Kuttichantran Subramaniam, Win Surachetpong, Vsevolod Popov, Kathleen Hartman, Katharine Starzel, Roy Yanong, Craig Watson, Hugh Ferguson, Salvatore Frasca Jr, Thomas Waltzek

“…., and Thomas Waltzek and published by the UF/IFAS School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences describes this important emerging disease and explains how to prevent outbreaks and what to do if you suspect TiLV in an aquaculture facility or in the wild.  …”
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The Use of Critical Levels for Determining Plant Response to Ozone in Europe and in North America by Robert C. Musselman, Allen S. Lefohn

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AGROBIOLOGICAL CHARACTERISTICS OF THE MALTING SPRING BARLEY CULTIVAR 'OMSKY 100 by P. N. Nikolaev, P. V. Popolzukhin, N. I. Anisimov, O. A. Yusova, I. V. Safonova

“…This cultivar, bred at the Siberian Research Institute of Agriculture and submitted for State Trials in 2015, represents the forest-steppe environmental group of varieties. It is characterized by high resistance to lodging, low susceptibility to false loose smut, medium to loose smut, and high to covered smut. …”
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Empirical modeling potential transfer of land cover change pa city with neural network algorithms by fatemeh mohammadyary, hamidreza pourkhabbaz, hossin aghdar, morteza Tavakoly

“…According to the horizontal tabulation results of the 2028 map, it can be stated that from the total area of the area 28336.22 hectares of land were unchanged and 33223.78 hectares of land use change. Also Rangeland and forest degradation during this time period can be a danger to urban planners and natural resources.   …”
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