Straw return decreases N surface runoff losses in croplands: Evidence from a global meta-analysis by Xinyi Shi, Liangping Wu, Jing Xiang, Hongxu Liang, Ruibo Sun, Yusef Kianpoor Kalkhajeh, Zhi Wang, Heng Fang, Chao Ma

“…Agricultural non-point source pollution, caused by Nitrogen (N) surface runoff losses, threatens green development and rural environmental quality. …”
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Numerical Investigation of the Tribological Performance of Surface-Textured Bushings in External Gear Pumps Under Transient Lubrication Conditions by Paolo Casoli, Masoud Hatami Garousi, Massimo Rundo, Carlo Maria Vescovini

“…This study presents a computational fluid dynamics (CFDs) investigation of the hydrodynamic behavior of surface-textured lateral bushings in external gear pumps (EGPs), emphasizing the effects of combined sliding and squeezing motions within the lubrication gap. …”
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Investigation of Electrochemical Discharge Machining for Tungsten Carbide: Effects of Electrolyte Composition on Material Removal Rate and Surface Quality by Najm Vian N., Abbas Tahseen F., Aghdeab Shukry H.

“…It has been concluded that tungsten carbide was successfully machined with electrolytes that were either neutral salts or a combination of neutral salts and hydroxides, the highest material removal rate achieved was (0.09250 g/min), and the average surface roughness achieved in this work was measured at (Ra 0.9275 µm). …”
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Investigating the effect of tool surface micro-texturing on self-propelled rotary tools used for machining aluminum 7075 by Mohammad Azizi Yousefvand, Habibollah Akbari, Behnam Davoodi

“…The results indicate that using the textured SPRT (self-propelled rotary tool) effectively reduces surface roughness to acceptable levels. The best results were achieved with the clockwise textured SPRT at an inclination angle of 20° and using lubricant, yielding an average surface roughness of 0.441 μm and R-squared values of 0.89, providing a reasonable estimate.…”
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Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology by Zhang Yingjie, Yong Wang, Wanli Lou, Dongbin Fan

“…Under the optimal conditions, validation tests were performed, and the average value of parallel experiments was 0.17 ± 0.02 MPa. …”
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Impact of a flexible irrigation reservation system on water savings in a surface irrigation district in northern Italy by Fabiola Gangi, Giorgio Scotti, Claudio Gandolfi, Daniele Masseroni

“… Improving the efficiency of water use in irrigated areas where surface irrigation is practised is now a goal that must be pursued with persistence, given the effects of climate change on the reduction of surface water availability, especially in Mediterranean areas. …”
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Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

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Studying the Impact of LULC Correspondence Between Landsat 8 and Spot 7 Data on Land Surface Temperature Estimation by Yehia Miky

“…Information about land surface temperature (LST) plays a crucial role in environmental studies, as it provides essential data for understanding climate patterns, assessing ecosystem health, and predicting environmental changes. …”
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Current and Near-Future Technologies to Quantify Nanoparticle Therapeutic Loading Efficiency and Surface Coating Efficiency with Targeted Moieties by Vy Tran, Na Nguyen, Scott Renkes, Kytai T. Nguyen, Tam Nguyen, George Alexandrakis

“…Current limitations in nanoparticle characterization technologies, such as relying on ensemble-average analysis, pose challenges in assessing the drug/gene content and surface modification heterogeneity, which can greatly affect therapeutic outcomes. …”
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Accurate Predicting the Surface Tension of Vegetable-Oil-Based Fuels Using Gibbs’ Thermodynamic Additivity as an Alternative to QSPR by Nichaphat Sitthisuk, Kaokanya Sudaprasert, Suriya Phankosol, Vittaya Punsuvon

“…The surface tension of fuel oil is one important property of the engine combustion process which is correlative to other oil physical and chemical properties. …”
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Computational Fluid Dynamics Modeling of Steam Condensation on Nuclear Containment Wall Surfaces Based on Semiempirical Generalized Correlations by Pavan K. Sharma, B. Gera, R. K. Singh, K. K. Vaze

“…Steam condensation has been modeled using the empirical average HTC, which was originally developed to be used for “lumped-parameter” (volume-averaged) modeling of steam condensation in the presence of noncondensable gases. …”
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Structural Evolution and Mechanical Properties of FeCoNiAlTi HEA Coatings Fabricated by Plasma Surfacing by WANG Yonghong, ZHANG Chunlin, ZHANG Shihan, YU Jianping, LIU Yingfu, JIE Zhiwen

“…In order to deeply study the influence of the surfacing current on the microstructure and mechanical properties of FeCoNiAlTi highentropy alloy coatings in the plasma surfacing process parameters， five different surfacing currents (140， 160， 180， 200， 220 A) were used for coating preparation， and the microstructure， hardness， wear resistance and tensile properties of the coatings were evaluated by XRD， OM，SEM， micro-Vickers hardness tester， profilometer， friction wear tester and universal testing machine， respectively.Results showed that the porosity and elemental segregation of the coating were significantly improved with the increase of the surfacing current，but there was no significant effect on the coating phase composition.The coating mainly consisted of the typical FCC solid solution phase and Co3 Ti precipitation phase.When the surfacing current was 180 A， the surface microhardness of the obtained T3 coating was up to 322.77 HV0.2， which was about twice that of the substrate.At the same time， the T3 coating showed the best wear resistance， with a maximum wear depth of only 2.144 μm， an average friction coefficient of 0.362 and the lowest wear rate of 3.83×10－6 mm3/(N·m).In addition， the tensile strength and elongation of the T3 coating were 948 MPa and 26.61%， respectively， showing excellent strength and toughness.…”
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Geographically Constrained Machine Learning-Based Kernel-Driven Method for Downscaling of All-Weather Land Surface Temperature by Haiping Xia

“…The reconstruction of all-weather land surface temperature (LST) has gained increasing attention in recent years, and many reconstructed LST products have been published. …”
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WS-SLAM: a monocular visual SLAM algorithm considering dynamic invalid features of water surface for USV by Dan Li, Honghong Dong, Xin Chen, Binjie Li, Shuailong Zhang, Xiaozhu Wu

“…To this end, we propose a monocular VSLAM algorithm considering dynamic invalid features of the water surface for USV, named WS-SLAM. Firstly, the ORBSLAM3 framework is improved by adding the PP-LiteSeg semantic segmentation thread to distinguish between dynamic invalid feature points of the water surface and feature points on shore. …”
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A scalable exfoliating approach to achieve high-quality shell nanosheets with large lateral size and surface functionalization by Yuansen Liu, Qi Wu, Xinqing Zheng, Min Nie

“…In this case, PEI macromolecular had dual function: it not only acted as a buffer between milling balls and WSP to prevent excessive breaking of the WSP, but also interacted with active bonds on the surface to functionalize the SNs. As a demonstration, the high quality SNs achieve an average lateral size of 414 nm and thickness of 5 nm. …”
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Landsat‐based remote sensing of surface water dynamics in southern African wetlands in drylands from 1986 to 2022 by Alexis Roy, Florence D. Hulot, Kamel Soudani

“…Overall, the results allow us to evaluate the drying and filling dynamics of wetlands in drylands as well as their surface variability, giving crucial insights into the water availability dynamics and their resilience to climate forcing and variations.…”
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Automated Analysis of Vertebral Body Surface Roughness for Adult Age Estimation: Ellipse Fitting and Machine-Learning Approach by Erhan Kartal, Yasin Etli

“…We evaluated an objective surface roughness metric, the “average distance to the fitted ellipse” score (DS), calculated automatically for every vertebra from C7 to S1 on routine CT images. …”
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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…This study introduces an innovative approach to drug abuse screening by quickly detecting ephedrine (EPH) in tears using drop coating deposition-surface enhanced Raman spectroscopy (DCD-SERS) combined with machine learning (ML). …”
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Urban Green Space in a Tropical Area—Quantification of Surface Energy Balance and Carbon Dioxide Flux Dynamics by Parkin Maskulrath, Wladyslaw W. Szymanski, Thanawat Jinjaruk, Surat Bualert, Jutapas Saiohai, Siriwattananonkul Narisara, Yossakorn Fungkeit

“…The eddy covariance technique was applied to determine real-time surface energies and CO₂ fluxes from December 2021 to September 2023. …”
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The research on the surface discharge intensity and its damage to the pressboard in oil-paper insulation under different hydraulic pressures by Guangcai Hu, Daiwen Yang, Jianbing Zhou, Shirong Mou, Qifu Lu, Xinyu Zhu

“…This study investigates surface partial discharge in oil-paper insulation under varying hydraulic pressures with the help of a novel, self-designed test apparatus. …”
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