Testing of 'Gisela 5' and 'Santa Lucia 64' cherry rootstocks in Bosnia and Herzegovina by Pakeza DRKENDA, Amna SPAHIĆ, Ajla SPAHIĆ, Asima BEGIĆ-AKAGIĆ

“…Cherry rootstock breeding programs worldwide require data on tolerance and performance of their rootstocks in different climatic conditions. Therefore, the influence of two cherry rootstocks ('Gisela 5 and 'Santa Lucia 64') on phenological events (blooming), growth and pomological properties of two cherry cultivars ('Stella' and 'Burlat') planted in modern orchard (managed according to standard commercial practice for integrated fruit production), near Sarajevo was evaluated. …”
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Deficit Irrigation Regime Improves Phytosanitary Status of Cultivar Arbosana Grown in a Super High-Density Olive Orchard by Francesco Nicolì, Marco Anaclerio, Francesco Maldera, Franco Nigro, Salvatore Camposeo

“…Cycloconium was observed only as a latent infection during the two studied years and olive knot was not influenced by irrigation but only by weather conditions. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Data spanning 10 months from June 2023 to March 2024 were collected from Mawid, encompassing over one million observations and 18 features, including appointment details, patient demographics, and weather conditions. Machine learning models, such as decision trees, random forests, Naive Bayes, logistic regression, and artificial neural networks (ANN), have been developed and evaluated based on accuracy, precision, recall, F1 score, and area under the curve (AUC). …”
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Fungal Pathogens Associated with <i>Tomicus</i> Species in European Forests: Regional Variations and Impacts on Forest Health by Kateryna Davydenko, Denys Baturkin, Valentyna Dyshko, Jelena Lazarević, Adas Marčiulynas, Malin Elfstrand, Rimvydas Vasaitis, Audrius Menkis

“…<i>Pinus species</i> are extensively abundant in Europe and, as pioneer trees, prominently influence local ecology. However, pine forests in Lithuania, Montenegro, and Ukraine have been significantly damaged by pine bark beetles (<i>Tomicus</i> sp.), which are closely associated with ophiostomatoid and other pathogenic fungi. …”
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Wood Color Variation in Anatomical Sections of Cedrus libani from Two Mediterranean Regions by Uğur Özkan, Burak Koparan, Şerife Kalkanlı Genç, Candan Kuş Şahin

“…Wood color is an important factor influencing the aesthetic and commercial value of timber products. …”
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Forest biomass carbon pool dynamics in Tibet Autonomous Region of China: Inventory data 1999-2019. by Liu Shu-Qin, Bian Zhen, Xia Chao-Zong, Bilal Ahmad, Zhang Ming, Chen Jian, An Tian-Yu, Zhang Ke-Bin

“…The results showed that, during the past 20 years, the forest area, forest stock, and biomass carbon storage in Tibet have been steadily increasing, with an average annual increase of 1.85×104 hm2, 0.033×107 m3, and 0.22×107 t, respectively. Influenced by geographical conditions and the natural environment, the forest area and biomass carbon storage gradually increased from the northwest to the southeast, particularly in Linzhi and Changdu, where there are many primitive forests, which serve as important carbon sinks in Tibet. …”
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Genotype-environment interaction of genotypes of cocoa in Mexico by Carlos Hugo Avendaño-Arrazate, Misael Martínez-Bolaños, Ana Laura Reyes-Reyes, Marco Aurelio Aragón-Magadán, Delfino Reyes-López, Fernando López-Morales

“…However, limited information exists on the environmental influence on these traits, making it crucial to assess the performance of new cacao clones in diverse agroecological conditions before their large-scale adoption. …”
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Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China by Hong Chen, Yang Zhao, Xiaotong Ma

“…The model’s efficiency was validated objectively by comparing the conditional probability obtained by this model with the actual value. …”
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Genome-Wide Identification and Expression Analysis of <i>Aspartic proteases</i> in <i>Populus euphratica</i> Reveals Candidates Involved in Salt Tolerance by Peiyang He, Lifan Huang, Hanyang Cai

“…Moreover, the potential involvement of <i>APs</i> in salt tolerance mechanisms in trees is yet to be explored. In this research, 55 <i>Pe</i>APs were discovered and categorized into three distinct classes based on their conserved protein structures. …”
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Citrus Black Spot Symptoms on Fruit Exposed to Phyllosticta citricarpa Infections at Different Developmental Stages by Providence Moyo, Régis Oliveira Fialho, Geraldo José Silva Junior, Paul Fourie

“…The length of the fruit susceptibility period may be influenced by the amount of inoculum and the climate of the citrus growing region. …”
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A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…Poplar trees are essential for industrial afforestation applications due to their globally recognized plantation practices, reputation, ability to produce a large quantity of raw material in a short time, diverse applications in wood production, suitability for hybridisation and breeding implementations, and the availability of various species and clones adapted to the soil and climate conditions. …”
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Unsupervised Modelling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers by Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, Nemanja Sremčev, Mitar Jocanović, Jelena Spajić, Nebojša Brkljač

“…., age, gender, education) influence e-customer preferences in Serbia. From a sample of <i>n</i> = 906 respondents, conditional dependencies between demographics and user preferences were tested. …”
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Enhancing Predictive Accuracy of Landslide Susceptibility via Machine Learning Optimization by Chuanwei Zhang, Dingshuai Liu, Paraskevas Tsangaratos, Ioanna Ilia, Sijin Ma, Wei Chen

“…A correlation analysis was conducted to examine the relationship between the conditioning factors and landslide occurrence, and the certainty factor method was applied to assess their influence. …”
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Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis by Zenghui Liu, Jing Lin

“…It compares individual cost prediction models (Decision Tree, BP Neural Network, and Support Vector Machine) with combined prediction models (BP-DT and BP-SVM) for high-rise building cost prediction. …”
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Machine learning based calculation of refractive index of polyethylene glycol polymer by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H.S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Bilakshan Purohit, Kamal Kant Joshi, Ahmad Abumalek

“…Furthermore, SHAP analysis identified molecular weight as the dominant factor influencing refractive index predictions. The proposed approach significantly reduces the need for experimental measurements and offers a reliable, time-efficient solution for estimating the optical behavior of PEG polymers under varying conditions.…”
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Sustainable cocoa production: a question of taste or survival? Eliciting farmers’ preferences with a two-step choice experiment by Maritza Satama-Bermeo, Laura García-Espigares, Léa Lamotte, Karen Ramírez, Adriana Santos, Guillermo Zambrano, Roland Olschewski

“…The positive effects on the microclimate by introducing shadow trees did not outweigh the perceived disadvantages. …”
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Study on physiological characteristics of fruit cracking of different jujube varieties by LIU Wei, WANG Jianyu, WANG Zhenlei, LIN Minjuan

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Dynamics of <i>Aromia bungii</i> (Faldermann, 1835) (<i>Coleoptera</i>, <i>Cerambycidae</i>) Distribution in China Amidst Climate Change: Dual Insights from MaxEnt and Meta-Analysi... by Zhipeng He, Xinju Wei, Yaping Li, Xinqi Deng, Zhihang Zhuo

“…<i>Aromia bungii</i> Faldermann (<i>Coleoptera</i>, <i>Cerambycidae</i>) is one of the most serious stem-boring pests that infests Rosaceae fruit trees and ornamental trees. This study, based on occurrence data for this species, employed the MaxEnt model and meta-analysis method to predict the distribution range and centroid movement of <i>A. bungii</i> under the current and future climates in China. …”
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Gully Erosion Susceptibility Prediction Using High-Resolution Data: Evaluation, Comparison, and Improvement of Multiple Machine Learning Models by Heyang Li, Jizhong Jin, Feiyang Dong, Jingyao Zhang, Lei Li, Yucheng Zhang

“…The primary objective is to evaluate and optimize the top-performing model under high-resolution UAV data conditions, utilize the optimized best model to identify key factors influencing the occurrence of gully erosion from 11 variables, and generate a local gully erosion susceptibility map. …”
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THE PECULIARITIES OF CARIOTYPIC EVOLUTION OF MAMMALIS IN THE CAUCASUS MOUNTAINS by R. I. Dzuev, A. R. Dzuev

“…Karyological peculiarities conditioned by various distribution of structural heterochromatin prevail in Erinaceus. …”
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