The Piston Ring-Cylinder Bore Interface Leakage of Bent-Axis Piston Pumps Based on Elastohydrodynamic Lubrication and Rotation Speed by Lvjun Qing, Lichen Gu, Yan Wang, Wei Xue, Zhufeng Lei

“…The bent-axis piston pump is the core component of electrohydrostatic actuators (EHA) in aerospace applications, and its wear of key friction interfaces is greatly related to the healthy operation of pumps. …”
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Immunological Aspects of Fulminant Type 1 Diabetes in Chinese by Zhen Wang, Ying Zheng, Yiting Tu, Zhijie Dai, Jian Lin, Zhiguang Zhou

“…We found that a certain proportion of Chinese FT1D patients actually have developed islet-related autoantibodies after onset of the disease. …”
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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

“…The DNN demonstrated its ability to capture complex, nonlinear relationships and provide actionable insights into factors driving student interests. …”
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Functional connectome gradient of prefrontal cortex as biomarkers of high risk for internet gaming disorder by Xinwen Wen, Lirong Yue, Zhe Du, Jiahao Zhao, Mengjiao Ge, Cunfeng Yuan, Hongmei Wang, Qinghua He, Kai Yuan

“…We used functional connectome gradient (FCG) to capture the macroscopic hierarchical organization of human brain. …”
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Statistical Distribution of Urban Area Reveals a Converging Trend of Global Urban Land Expansion by Shengjie Hu, Zhenlei Yang, Sergio Andres Galindo Torres, Zipeng Wang, Haoying Han, Yoshihide Wada, Thomas Cherico Wanger, Ling Li

“…The results reveal a converging temporal trend in urban land expansion from subnational to global scales, characterized by a coherent shift of urban area distribution from an initial power law toward an exponential distribution. This trend is well captured by a unified mathematical model based on the shifted power law distribution function and is reflected in the gradual predominance of medium‐size cities over small‐size cities in the configuration of urban systems across the world. …”
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Urinary Microvesicle-Bound Uromodulin: A Potential Molecular Biomarker in Diabetic Kidney Disease by Neng-jun Lou, Yi-hong Ni, Hong-ying Jia, Jing-ti Deng, Lu Jiang, Feng-jie Zheng, Ai-li Sun

“…We use a specific monoclonal antibody AD-1 to capture the urinary microvesicles. Urinary microvesicle-bound uromodulin and total urinary uromodulin levels were determined by enzyme-linked immunosorbent assay (ELISA). …”
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Chemical Compositions of Dew and Scavenging of Particles in Changchun, China by Yingying Xu, Hui Zhu, Jie Tang, Yingzi Lin

“…Dew has the ability to capture particulates, and the purifying effect on the underlying surface was obvious.…”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The results highlight the central role of torso-mounted sensors, particularly in the lumbar region, cervix, and chest, in capturing core movements, while wrist sensors provided useful complementary information, especially for load-related activities. …”
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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

“…This approach, leveraging the FFT’s spectral insights and EMD’s capability to capture nuanced data differences, offers a robust representation for CVD classification. …”
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Lifestyle and Dietary Factors Associated with the Evolution of Cardiometabolic Risk over Four Years in West-African Adults: The Benin Study by Charles Sossa, Hélène Delisle, Victoire Agueh, Roger Sodjinou, Gervais Ntandou, Michel Makoutodé

“…Combining MetS and FRS might be appropriate for surveillance purposes in order to better capture CMR and inform preventive measures.…”
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Investment preferences of institutional investors in Indonesia: A comparative analysis of pressure-sensitive and pressure-insensitive groups by Dwi Prastowo Darminto, Abdulloh Mubarok, Nurmala Ahmar

“…The period was chosen because it captures a stable economic period in Indonesia, allowing for an accurate assessment of investment patterns without major external shocks. …”
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Integrated electrocatalytic synthesis of ammonium nitrate from dilute NO gas on metal organic frameworks-modified gas diffusion electrodes by Donglai Pan, Muthu Austeria P, Shinbi Lee, Ho-sub Bae, Fei He, Geun Ho Gu, Wonyong Choi

“…We design an integrated-electrocatalysis cell featuring metal organic framework (MOF)-modified gas diffusion electrodes for simultaneous capture of NO and generation of NH4NO3 under low-concentration NO flow conditions. …”
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Social demonstration of colour preference improves the learning of associated demonstrated actions by Noam Zurek, Na’ama Aljadeff, Donya Khoury, Lucy M. Aplin, Arnon Lotem

“…Thus, adding a demonstration of colour preference was actually more important for operant learning, possibly as a result of increasing the similarity between the demonstrated and the learned tasks, thereby increasing the learner’s attention to the actions of the demonstrator. …”
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Effect mechanism of H3PO4 on the formation and transformation of persistent free radicals in biochar by Yajie Gao, Yuan Gao, Aimin Li

“…Yet, H3PO4 reduced PFRs in biochar at high pyrolysis temperature (≥ 500 °C), since the capture of H∙ or HO∙ by PO∙ and the steric hindrance changed by H3PO4, which caused the rearrangement and polycondensation of carbon structure. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In recent years, a large number of studies have been conducted using deep learning models on epileptic open electroencephalogram (EEG) datasets with good results, but due to individual differences there are still some subjects whose seizure features cannot be accurately captured and are more difficult to differentiate, with poor prediction results. …”
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A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

“…The proposed spatiotemporal approach integrates machine learning, signal analysis, and statistical features, capturing geographical, temporal, and event-specific factors. …”
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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

“…The non-pretrained CNN excelled in handling class imbalances and capturing complex diagnostic patterns, emphasizing the potential of tailored architectures for medical imaging tasks. …”
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Implementation and Comparison of High-Resolution Spatial Discretization Schemes for Solving Two-Fluid Seven-Equation Two-Pressure Model by Pan Wu, Fei Chao, Dan Wu, Jianqiang Shan, Junli Gou

“…The classical 1st-order upwind scheme is widely used in existing nuclear system analysis codes such as RELAP5, CATHARE, and TRACE. However, the 1st-order upwind scheme possesses issues of serious numerical diffusion and high truncation error, thus giving rise to the challenge of accurately modeling many nuclear thermal-hydraulics problems such as long term transients. …”
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Dynamic soil columns simulate Arctic redox biogeochemistry and carbon release during changes in water saturation by Erin C. Berns-Herrboldt, Teri A. O’Meara, Elizabeth M. Herndon, Benjamin N. Sulman, Baohua Gu, Dawn M. Klingeman, Kenneth A. Lowe, David E. Graham

“…PFLOTRAN simulations captured experimental trends in soil carbon fluxes, oxygen concentrations, and water contents. …”
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Completion of Waste Heat Recovery and CO₂ Conversion Simultaneously Based on the Flue Gas Chemical Recuperative Cycle: A Review by Mengze He, Ping Zhou, Xiqiang Zhao, Tao Wang

“…Improving the efficiency of energy conversion and utilization systems through waste heat recovery and reduction of greenhouse gas through CO₂ capture/conversion are important solutions. Both can be achieved simultaneously by utilizing high-temperature flue gas or CO₂ in flue gas for organic matter gasification, which is called the flue gas chemical recuperative cycle. …”
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