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281
Enhanced cold storage performance through nano-powder integration in water: A numerical simulation study
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282
Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity
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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283
Determination of Phytotechnological Parameters of the Dense Extract from Peach (<i>Persica vulgaris</i>) Leaves
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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284
Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering
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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285
Yield and Quality of Walnuts Subjected to Deficit Irrigation in Mountainous Water-Starved Environments
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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286
Rodent Damage to Natural and Replanted Mountain Forest Regeneration
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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287
Microhabitat Characteristics That Regulate Ant Richness Patterns: The Importance of Leaf Litter for Epigaeic Ants
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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288
Characterization of landuse and landcover dynamics and their impact on runoff generation patterns in dam catchments of Northern Ghana
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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289
An Assessment of the Diversity and Seasonal Dynamics of Small- and Medium-Sized Mammals in Pittachhara Forest, Bangladesh, Using a Camera Trap Survey
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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290
Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data
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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291
Recovery of the forest’s protective effect after stand-replacing wind disturbances
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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292
Cacao floral traits are shaped by the interaction of flower position with genotype
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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293
Effect of ecological restoration on carbon storage of damaged mountain slope in China’s East Ussuri River Basin
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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294
Slope stability prediction under seismic loading based on the EO-LightGBM algorithm
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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295
An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction
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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297
Pest categorisation of Monema flavescens
Published 2024-07-01“…Introduction of M. flavescens may result in defoliations influencing tree health and forest diversity. The caterpillars also have urticating spines affecting human health. …”
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298
Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method
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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299
Social Participation When Aging With an Early-Onset Neurological Disability: Protocol for Descriptive Qualitative Research
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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300
Formulation optimization of furosemide floating-bioadhesive matrix tablets using waste-derived Citrus aurantifolia peel pectin as a polymer
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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