Phenological control of vegetation biophysical feedbacks to the regional climate by Lingxue Yu, Ye Liu, Fengqin Yan, Lijie Lu, Xuan Li, Shuwen Zhang, Jiuchun Yang

“…Our findings elucidated that earlier green-up contributed to a prolonged growing season in forests, while advanced green-up and delayed dormancy extended the growing season in croplands. …”
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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…The models were evaluated, and a comparative analysis revealed that the ensemble Random Forest (RF) model (PubChem fingerprints) with RMSE (0.731), R² (0.622), and MAPE (8.988) and bootstrap aggregating model (MACCS fingerprints) with RMSE (0.687), R² (0.666), and MAPE (9.216) on the testing set performed well, in accordance with the Organization for Economic Cooperation and Development (OECD) guidelines. …”
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Land Use Change Forcing Data Undermine the Modeling of China's Greening Efforts by Ziyu Wang, Weiqing Zhao, Sen Cao, Pengjun Zhao, Yuhang Luo, Dajing Li, Ziyun Sun, Zaichun Zhu

“…However, ecosystem models simulate only modest vegetation enhancement, creating a significant disparity between documented reforestation efforts and model‐based simulations. …”
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High variation in Eastern Whip-poor-will home-range size and shape limits the effectiveness of one-size-fits-all habitat protection methods by Alicia M Korpach, Valerie von Zuben, Kevin C Fraser, Christina M. Davy

“…We evaluated potential ecological determinants of home range size, and found that density of forest edge and density of neighboring birds were weakly negatively related to home-range sizes. …”
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A Novel Tree-Based Combined Test for Seasonality by Karsten Webel, Daniel Ollech

“…We use simulated data to demonstrate that an ensemble of 15 seasonality diagnostics can be reduced to a low-complexity combination of three tests that has significantly lower misclassification rates than competing well-established overall tests.…”
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Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features by Xiuyi Li, Yue Zhou, Weiwei Zhao, Chuanyun Fu, Zhuocheng Huang, Nianqian Li, Haibo Xu

“…This study conducts simulated flight experiments concerning aircraft approach and landing under three low-visibility and windy conditions, including no-wind, crosswind, and tailwind. …”
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Mangrove Restoration Using Rubberwood Fly Ash to Produce Biodegradable Seedling Pots for Coastal Erosion Control by Siriphat Sirikunpitak, Kuaanan Techato, Payom Rattanamanee, Apichat Choomkong, Khamphe Phoungthong

“…The increasing amount of fly ash from daily energy combustion, coupled with land use changes from mangrove forests, has led to an increase in severe coastal erosion. …”
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Estimation of Cloud Water Resources in China by Jie Yu, Yuquan Zhou, Miao Cai, Jianjun Ou

“…A random forest model, coupled with a fuzzy logic approach, is employed to estimate future cloud water resources, as well as their spatial distribution and temporal trends. …”
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A Framework for Separating Climate and Anthropogenic Contributions to Evapotranspiration Changes in Natural to Agricultural Regions of Watersheds Based on Machine Learning by Zixin Liang, Fengping Li, Hongyan Li, Guangxin Zhang, Peng Qi

“…Meteorological, topographic, and ET remote sensing data for the years of 1980 and 2015 were selected. The Random Forest model effectively simulates ET in the natural areas (i.e., forest, grassland, marshland, and saline-alkali land) in the Songhua River Basin, with R² values of around 0.99. …”
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Contrasting Roles of the Multiple Seas in East Asia on Population Divergence of Smilax sieboldii (Smilacaceae) by Ya‐Lu Ru, Shan‐Shan Zhu, Xin‐Yi Fan, Wen‐Hao Li, Cheng‐Xin Fu, Yun‐Peng Zhao

“…ABSTRACT Multiple seas in East Asia have played distinct roles during the Quaternary climatic cycles, which have repeatedly isolated and reconnected temperate forest species, while it remains unclear whether their roles differ. …”
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Complementary Finite Element and Monte-Carlo Methods to Solve Industrial Thermal Problems by Peniguel Christophe, Rupp Isabelle, Fournier Richard, Blanco Stéphane, Eymet Vincent, Forest Vincent, Coustet Christophe

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Improving the Accuracy of Soil Classification by Using Vis–NIR, MIR, and Their Spectra Fusion by Shuo Li, Xinru Shen, Xue Shen, Jun Cheng, Dongyun Xu, Randa S. Makar, Yan Guo, Bifeng Hu, Songchao Chen, Yongsheng Hong, Jie Peng, Zhou Shi

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Corrosion inhibition performance of rapeseed cake meal extract on cold-rolled steel in monochloroacetic acid: Adsorption characteristics and mechanism study by Qian Shi, Shuduan Deng, Juan Xu, Dandan Shao, Xianghong Li

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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

“…Modeling likely land uses through the simulation of long-term spatial variations of complex patterns has been done through the CA–Markov model. …”
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Cyber-Secure IoT and Machine Learning Framework for Optimal Emergency Ambulance Allocation by Jonghyuk Kim, Sewoong Hwang

“…Supervised regression algorithms—Random Forest, XGBoost, and LightGBM—were trained on 2061 center-month observations. …”
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A review of the FIVA project: Novel windows employing vacuum glazing products by Ulrich J. Pont, Peter Schober, Magdalena Wölzl, Matthias Schuss, Jakob Haberl

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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…Experiments assessed the performance of five machine-learning algorithms generating user models in a simulated environment, with the Light Gradient Boosting Machine (LGBM) achieving the best results, closely followed by Random Forest (RF). …”
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Dendrochronology and Isotope Chronology of <i>Juglans neotropica</i> and Its Response to El Niño-Related Rainfall Events in Tropical Highlands of Piura, Northern Peru by Tone Marie Ektvedt, Michael N. Evans, Donald A. Falk, Paul R. Sheppard

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Quantification of streamflow response to climate change and human activities within upstream mountainous areas of the Daqing River Basin, Northern China by Zengyi Li, Weifan Chen, Linna Wang

“…As for the Wangkuai Reservoir watershed, a significant change point was observed around 1980, which is likely attributable to land system reforms and protective forest projects. The attribution analysis which combined both climate change and human activities using the elasticity coefficient method and hydrological simulation methods indicated that climate change contributed an average of 32.93%, 34.50%, and 35.12% to the reduction in streamflow in the three watersheds, respectively. …”
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Projecting Water Yield Amidst Rapid Urbanization: A Case Study of the Taihu Lake Basin by Rui Zhou, Yanan Zhou, Weiwei Zhu, Li Feng, Lumeng Liu

“…Taking the rapidly urbanizing Taihu Lake Basin (TLB) as an example, coupled with the PLUS-InVEST model, three scenarios of a natural development (ND) scenario, urban development (UD) scenario, and ecological protection (EP) scenario were set to simulate the response mechanisms of land use changes for WY and the influence of policy-making on the water conservation capacity of river basins. (1) During 2000 and 2020, the Taihu Lake Basin (TLB) experienced rapid urbanization, which was evident in the conversion of forest and cropland for urban development. (2) From 2000 to 2020, the TLB’s WY first decreased and then increased, ranging from 201.52 × 10⁸ m³ to 242.70 × 10⁸ m³. …”
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