Soil Physical Properties Affect Herbivory of Lampronadata cristata in a Cork Oak Forest by Xinliang Shao, Xinjuan Zhou, Lin Wang, Ruxue Tan, Can Lu, Qin Zhang, Kedong Xu

“…Effects of soil sand percentage and bulk density on insect herbivory were partly mediated by DBH and tree height. Our results indicated that soil physical properties may have significant effects on insect herbivory by directly influencing insect herbivores that need to complete their life cycle in the soil, or by indirectly affecting insect herbivores through influencing DBH and tree height which reflects the total leaf biomass available to the insect herbivore. …”
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Background factors of crisis distance learning perception by O. A. Valger, I. A. Vezner, O. A. Sklyomina

“…The background factors that influence the student perception sig­nificantly are the year of their programme, their commute patterns, their living conditions, and their employment status.Scientific novelty. …”
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Very-Long-Chain Resorcinolic Lipids of <i>Ailanthus altissima</i> Samaras by Elżbieta G. Magnucka, Robert Zarnowski, Przemysław Bąbelewski

“…These phenolic compounds were detected in nearly equal proportions, although their total content varied considerably between samples from urban-grown trees. No correlation was observed between AR levels and the physiological state of the tree, suggesting that environmental conditions may strongly influence AR biosynthesis in <i>A. altissima</i>. …”
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Predictor-Year Subspace Clustering Based Ensemble Prediction of Indian Summer Monsoon by Moumita Saha, Arun Chakraborty, Pabitra Mitra

“…Prediction model is designed to frame individual cluster using random forest of regression tree. Prediction of aggregate and regional monsoon is attempted. …”
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DEVELOPMENT OF SYSTEMS OF MULTIPLEX PCR TO IDENTIFY GENES OF RESISTANCE TO MAGNAPORTHE GRISEA (HERBERT) BARR. AND SELECTION OF NEW RESISTANT FORMS (DONORS) ORYZA SATIVA L. TO PATHO... by E. V. Dubina, P. I. Kostylev, L. V. Esaulova

“…The purpose of the work is to create some cultivars and lines of rice with tree and more genes resistant to pyriculariosis using the method of molecular marking. …”
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Prediction of water inrush from coal seam floor based on machine learning with small sample data by Chenxi LI, Haifeng LU

“…The prediction accuracy of KNN and GBDT+LR is higher than that of conventional models under small sample conditions. The predicted results of the model agree with the actual situation.…”
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Study on the Spatiotemporal Heterogeneity and Threshold Effects of Ecosystem Services in Honghe Prefecture, Yunnan Province by Xinjun Chen, Ming Cui, Qiankun Yang, Zihan Xu, Shuangyan Liu, Liheng Zhang, Guijing Li, Yuguo Liu

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Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

“…Changes of height captured impacts of tree mortality and fire intensity, pointing to the influence of wildfire across landscapes. …”
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Drivers of biomass dynamics in a tropical seasonal rainforest of Southwest China: The roles of environment and forest attributes by Ewuketu Linger, James A. Lutz, Wen-Fu Zhang, Xiao-Fei Yang, Yue-Hua Hu, Min Cao

“…Forest structures, particularly large-diameter trees (LDT; trees with DBH ≥ 50 cm) and the upper tree canopy (UTC; trees with a height ≥ 30 m), also play critical roles. …”
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Quantifying the effect of non-spatial and spatial forest stand structure on rainfall partitioning in mountain forests, Southern China by Chunxia Liu, Yujie Wang, Chao Ma, Yunqi Wang, Huilan Zhang, Bo Hu

“…The results highlight that stand structure in combination with rainfall patterns influence rainfall partitioning.…”
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Compensation for topographic effect on P-band PolSAR data with a polarimetric decomposition technique by Yin Zhang, Ding-Feng Duan

“…To assess the algorithm's validity and effectiveness, we applied it to P-band PolSAR datasets in four forested areas in the US. Trees in the forest stands have diverse species, and the topographic conditions of the terrain differ. …”
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Forests in the future - No forest, no future by Zanella A

“…The humipedon, or topsoil layer, changes with tree age, preparing the next forest generation through the action of soil fauna. …”
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An Evaluation of Machine Learning Models for Forecasting Short-Term U.S. Treasury Yields by Yi-Fan Wang, Max Yue-Feng Wang, Li-Ying Tu

“…Recognizing its sensitivity to macroeconomic conditions, the research integrates economic variables, including the federal funds rate, core Consumer Price Index (CPI), real Gross Domestic Product (GDP) growth rate, and the U.S. federal debt growth rate, to assess their influence on yield movements. …”
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Optimizing forest environments for human Comfort: The F-MECI approach by Li Wang, Ruyi Zhou, Zhenming Shen, Yufeng Zhou, Chen Li, Zichen Jia, Wenhan Li, Guomo Zhou

“…Correlations between forest-stand structure and human comfort revealed negative associations with parameters such as tree height, canopy diameter width, and the cover plant ratio, with cover plant ratio and canopy diameter width exerting the strongest influence on F-MECI. …”
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Radial growth projections reveal site-specific futures of different oak species with contrasting water availability in SW Hungary by Norbert Móricz, Ilona Mészáros, Gábor Zoltán Illés, Balázs Garamszegi, Csaba Béla Eötvös, Anikó Kern, Anikó Kern, Anikó Hirka, Imre Berki, Attila Borovics, Roland Hollós, Tamás Márton Németh

“…Liebl.) and Turkey oak (Quercus cerris L.) trees in two sites in Hungary, each with different water availability. …”
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Health-related quality of life in children and adolescents born very preterm and its correlates: a cross-sectional study by Dirk Bassler, Giancarlo Natalucci, Sarah R Haile, Mark Adams, Susi Kriemler, Gabriela P Peralta, Thomas Radtke, Ajay N Bharadwaj, Alexander Moeller

“…The influence of respiratory symptom amelioration and its potential influence on HRQOL needs to be investigated further.Trial registration number NCT04448717.…”
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Impact of extreme seasonal drought on ecosystem carbon‒water coupling across China by Meng-Tian Huang, Pan-Mao Zhai

“…Results showed that the direction and magnitude of drought impacts on WUE depend on the occurrence time of extreme drought and the seasonal dynamics of regional ecological and climatic conditions. Across the vegetated regions in China, the most widespread reduction in WUE under extreme drought conditions was observed in summer, whereas approximately 60% of the study area showed positive changes in WUE under extreme drought conditions in spring. …”
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Machine learning classification algorithm screening for the main controlling factors of heavy oil CO2 huff and puff by Peng-xiang Diwu, Beichen Zhao, Hangxiangpan Wang, Chao Wen, Siwei Nie, Wenjing Wei, A-qiao Li, Jingjie Xu, Fengyuan Zhang

“…However, the effectiveness of this method varies significantly under different geological and fluid conditions, which leads to a high-dimensional and small-sample (HDSS) dataset. …”
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Modeling of a Novel T-Core Sensor with an Air Gap for Applications in Eddy Current Nondestructive Evaluation by Siquan Zhang

“…Utilizing the vector magnetic potential method and a truncated region eigenfunction expansion (TREE) method, an analytical model was developed to investigate the sensor’s interaction with multi-layer conductive materials containing a hidden hole. …”
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Assessment of the economic risk for the ski resorts of changes in snow cover duration by S. A. Sokratov, Yu. G. Seliverstov, A. L. Shnyparkov

“…That is why a shadowing of existing mountain ski routes by means of the tree planting along them could be ecologically more promising. …”
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