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  1. 281
  2. 282

    Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity by Liang Zhang, Ping Wang, Guanglin Xie, Wenkai Wang

    Published 2024-11-01
    “…ABSTRACT Aromia bungii is a pest that interferes with the health of forests and hinders the development of the fruit tree industry, and its spread is influenced by changes in abiotic factors and human activities. …”
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    Article
  3. 283

    Determination of Phytotechnological Parameters of the Dense Extract from Peach (<i>Persica vulgaris</i>) Leaves by E. I. Molokhova, L. V. Ivantsova, V. D. Belonogova

    Published 2022-12-01
    “…The object of the study was samples of dried leaves of the cultivated peach tree – Persica vulgaris Mill. (Rosaceae family) collected during the growing season (at the end of August). …”
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  4. 284

    Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

    Published 2025
    “…The construction industry significantly contributes to environmental degradation,with many structures exhibiting high carbon footprints throughout their construction processes and lifespans.Activities such as cement hydration and other commoncon-struction practices substantially influence environmental conditions overtime,necessitating a critical evaluation of material and design choices.This study reported the environmental impact of fly ash(FA),which is largely used to enhance concrete strength.A prediction of two end point indicators,that is,global warming potential(GWP)and CO2 emission using soft computing methods are presented,which are particularly effective for handling complex,non linear relationships in environmental data.To achieve this, two machine learning approaches,the random forest(RF)and decision tree(DT)models,are employed to assess the environ- mental impact of structural materials and designs.Two data sets were obtained from reputable databases,including ResearchGate, Science Direct, Semantic Scholar,and Mendeley Data.The models are trained to explore the potential for optimizing structural designs and material selection stominimize environmental impacts.Feature importance is analyzed using Shapley values,providing insights into the most influential factors affecting GWP and CO2 emission Model performance is evaluated using R2 and root mean square error(RMSE) metrics. …”
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  5. 285

    Yield and Quality of Walnuts Subjected to Deficit Irrigation in Mountainous Water-Starved Environments by Víctor Hugo Durán Zuazo, Belén Cárceles Rodríguez, Esther Sendra, Ángel Antonio Carbonell-Barrachina, Leontina Lipan, Francisca Hernández, Baltasar Gálvez Ruiz, Iván Francisco García-Tejero

    Published 2025-06-01
    “…Chandler amounted to 6.7, 6.4, and 12.2 kg tree<sup>−1</sup> under SDI<sub>33</sub>, SDI<sub>50</sub>, and SDI<sub>75,</sub> respectively, which were less than 13.9 kg tree<sup>−1</sup> in the C<sub>100</sub> plot. …”
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  6. 286

    Rodent Damage to Natural and Replanted Mountain Forest Regeneration by Marta Heroldová, Josef Bryja, Eva Jánová, Josef Suchomel, Miloslav Homolka

    Published 2012-01-01
    “…Natural regeneration in Nature Reserve was less damaged compared to planted trees (𝜒2=55.89, 𝑃<0.001). The main factors influencing the impact of rodent species on tree regeneration were open, grassy habitat conditions, higher abundance of vole species, tree species preferences- and snow-cover condition. …”
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  7. 287

    Microhabitat Characteristics That Regulate Ant Richness Patterns: The Importance of Leaf Litter for Epigaeic Ants by Antonio Cesar Medeiros de Queiroz, Carla Rodrigues Ribas, Filipe Machado França

    Published 2013-12-01
    “…At each sampling site (36 in total) we set up an epigaeic pitfall to capture ants and measured the following environmental variables (conditions and resources): tree density, tree height, circumference at breast height, density of the herbaceous and shrubby vegetation, weight and heterogeneity of the leaf litter, and canopy cover. …”
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  8. 288

    Characterization of landuse and landcover dynamics and their impact on runoff generation patterns in dam catchments of Northern Ghana by Etienne Umukiza, Felix K. Abagale, Thomas Apusiga Adongo

    Published 2024-01-01
    “…Landuse alteration is a critical factor that exerts influence over hydrological mechanisms and the oversight of water resources across the globe. …”
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  9. 289

    An Assessment of the Diversity and Seasonal Dynamics of Small- and Medium-Sized Mammals in Pittachhara Forest, Bangladesh, Using a Camera Trap Survey by Raf Ana Rabbi Shawon, Md. Matiur Rahman, Md Mehedi Iqbal, Mahfuz A. Russel, Junji Moribe

    Published 2024-12-01
    “…The findings suggest an intricate connection between species-specific behaviors and environmental factors that influence activity patterns, with increased activity in summer and a decrease in winter, indicating that summer conditions may enhance the movement and foraging behaviors of mammals. …”
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  10. 290

    Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

    Published 2025-12-01
    “…However, accurately estimating pine forest GSV over large areas using airborne Lidar is challenging due to the complex stand structure and the influence of environmental conditions. This research employed airborne Lidar data and sample plots from 11 typical sites across the northern, central, and southern subtropical regions of China to explore modeling approaches for pine forest GSV estimation. …”
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  11. 291

    Recovery of the forest’s protective effect after stand-replacing wind disturbances by Christine Moos, Kaya Dietrich, Alexandra Erbach, Christian Ginzler, Estelle Noyer, Christoph Schaller, Luuk Dorren

    Published 2025-06-01
    “…Recovery rates were most importantly influenced by temperature, precipitation, local topography, gap size and lithological substrate, underlining the importance of local environmental conditions when predicting recovery. …”
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  12. 292

    Cacao floral traits are shaped by the interaction of flower position with genotype by Seunghyun Lim, Insuck Baek, Seok Min Hong, Yoonjung Lee, Silvas Kirubakaran, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

    Published 2025-02-01
    “…This study investigated the influence of vertical flower position and associated environmental and physiological gradients on these traits across two cacao genotypes, CCN51 and SCA6, under controlled greenhouse conditions. …”
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  13. 293

    Effect of ecological restoration on carbon storage of damaged mountain slope in China’s East Ussuri River Basin by Jianjun Zhu, Shilei Zhang, Chen Chen, Chunlin Li

    Published 2025-08-01
    “…Among them, the carbon storage of the vegetation layer is mainly distributed in the tree layer, and its size is similar to that of undisturbed natural slopes. …”
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  14. 294

    Slope stability prediction under seismic loading based on the EO-LightGBM algorithm by Ning Ma, Ning Ma, Yuqi Zhang, Zaizhen Yao

    Published 2025-07-01
    “…The experimental results demonstrate that EO-LightGBM achieves a prediction accuracy of 94.0%, precision of 96.0%, recall of 92.0%, and an F1-score of 96.0%, outperforming traditional machine learning models such as SVM, KNN, and Decision Tree. Comparative analysis further confirms that EO-LightGBM effectively reduces error rates and enhances the adaptability of slope stability prediction models under complex seismic conditions. …”
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  15. 295

    An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction by Yin-bo He, Ke-ming Sheng, Ming-liang Du, Guan-cheng Jiang, Teng-fei Dong, Lei Guo, Bo-tao Xu

    Published 2025-05-01
    “…By comparing TabNet, Tab Transformer, Hopular, and TabDDPM through computational experiments under identical conditions, TabNet was selected as the optimal approach. …”
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  18. 298

    Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

    Published 2025-05-01
    “…In this study, 64 coarse-grained soil (CGS) samples were designed using a negative exponential gradation equation (NEGE), and computational fluid dynamics–discrete element method (CFD-DEM) coupled seepage simulations were conducted to generate a permeability coefficient (k) dataset comprising 256 entries under varying porosity and gradation conditions. Three machine learning models—a neural network model (BPNN), a regression model (GPR), and a tree-based model (RF)—were employed to predict <i>k</i>, with hyperparameters optimized via particle swarm optimization (PSO) and four-fold cross-validation applied to improve generalization. …”
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  19. 299

    Social Participation When Aging With an Early-Onset Neurological Disability: Protocol for Descriptive Qualitative Research by Mia Lapointe, Megan Veilleux, Pascale Simard, Hung Manh Nguyen, Angéline Labbé, Valérie Poulin, Samuel Turcotte

    Published 2025-08-01
    “… BackgroundDue to improvements in health care and rehabilitation, as well as better social conditions, individuals living with traumatic brain injury (TBI), multiple sclerosis (MS), or spinal cord injury (SCI) are living longer. …”
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  20. 300

    Formulation optimization of furosemide floating-bioadhesive matrix tablets using waste-derived Citrus aurantifolia peel pectin as a polymer by Ebrahim Abdela Siraj, Yohannes Mulualem, Fantahun Molla, Ashagrachew Tewabe Yayehrad, Anteneh Belete

    Published 2025-05-01
    “…The citrus peel pectin was extracted from local Citrus aurantifolia tree fruit peel using hot water extraction technique. …”
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