Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks by Olivia Nakayima, Mostafa I. Soliman, Kazunori Ueda, Samir A. Elsagheer Mohamed

“…This algorithm is trained and validated with a simulation environment modelling the network nodes, routing protocols and buffer schedules. …”
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Development of wet adhesion of honeybee arolium incorporated polygonal structure with three-phase composite interfaces by Lulu Liang, Jieliang Zhao, Qun Niu, Li Yu, Xiangbing Wu, Wenzhong Wang, Shaoze Yan, Zhenglei Yu

“…Here, we develop a novel adhesive mechanism for governing wet adhesion and investigate the biological models of honeybee arolium for reproducing the natural wet adhesive systems. …”
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Passive Design for Residential Buildings in Arid Desert Climates: Insights from the Solar Decathlon Middle East by Esra Trepci, Edwin Rodriguez-Ubinas

“…This full-scale experiment offers a unique opportunity to evaluate design solutions under controlled, realistic conditions; prescriptive, modeled performance; and monitored performance assessments. …”
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High-resolution RGB image dataset for wheat seed varietal identification and purity assessmentZenodoMendeley Data by Mehreen Nawaz, Sadaf Safder, Shazia Riaz, Saqib Ali

“…Achieving maximum wheat yield becomes challenging when no optimal seed purity varietal identification protocol for a particular region is available. …”
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Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths by Jordon Junyang Kho, Shangzheng Song, Samuel Ming Xuan Tan, Nur Hikmah Fitriyah, Matheus Calvin Lokadjaja, Jie Yin Yee, Zixu Yang, Eric Yu Hai Chen, Jimmy Lee, Wilson Wen Bin Goh

“…Regression analysis indicated UHR speech is characterized by diminished sentiment variability (β = –0.07), deviation from linguistic registers (β = –0.16), fewer phonographic neighbors (β = –0.11), lower morphological complexity (β = –0.36), and more predictable lexical structures (β = 0.05). Optimized machine learning (ML) models trained on Boruta-selected features achieved a mean AUC of 0.70. …”
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Influence of scanning patterns on residual stresses and mechanical properties in LPBF-manufactured cellular structures by Ahmed Abdelgawad, Imad Barsoum, Rashid K. Abu Al-Rub

“…However, residual stresses, distortion, and microstructure evolution must be controlled for broader industrial adoption. This study compares two coupled thermo-mechanical modeling approaches—path-dependent and layer-by-layer—for predicting residual stresses and deformations in LPBF of Inconel 625 parts. …”
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Effect of statins on neurological functional outcomes in critically ill adult patients with traumatic brain injury: a systematic review and meta-analysis by Ryan Zarychanski, François Lauzier, Shane W English, Lynne Moore, Alexis F Turgeon, Daniel F McAuley, Olivier Costerousse, Chartelin Jean Isaac, Marc-Aurèle Gagnon, Charles Veillette, Mauricio Umana, Patrick Lawler

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Orbital Transfers in a Binary Asteroid System Considering Flattening of the Bodies and Solar Radiation Pressure by L. B. T. Santos, V. Y. Razoumny, V. M. Gomes, A. F. B. A. Prado

“…Although the irregular shape and radiation pressure were not used as controls, their effects on the transfers are analyzed. …”
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Impact of Public Space in Primary and Secondary Schools Based on Natural Visibility Ratio by Feng Liu, Hao Zhou, Jiangtao Xie, Yue Tang, Shuyu Liu

“…The findings of this study underscore the critical importance of controlling the form and configuration of buildings and public spaces in school design, providing a robust foundation for safety-oriented campus planning.…”
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Shifting sands to sustainable soils: Spatial dynamics of soil water and salinity in a desert oasis ecotone by Qiqi Cao, Tao Liu, Jiangbao Xia, Junran Li, Sujith Ravi, Zhiming Xin, Huijie Xiao

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Dispatching Strategy for Integrated Electric and Heating Energy System Including Renewable Energy and CAES Power Station by Funian HU, Weicheng XU, Jun CHEN

“…At the load end, the EV load is divided into orderly and disorder EV loads according to their controllabilities, and different operating functions are given to the S-CAES according to different modes and different optimal dispatching models are provided. …”
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The Behavior of Wind Turbines Equipped with Induction Generators and Stator Converters Under Significant Variations in Wind Speed by Cristian Paul Chioncel, Gelu-Ovidiu Tirian, Elisabeta Spunei

“…The wind turbines utilize induction generators that have a short-circuited rotor and are controlled by a power converter within the stator circuit. …”
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Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis, Mark Droznika

“…After a comprehensive dataset was constructed, multiple deep-learning architectures were developed and evaluated. The models were optimized for detecting various aircraft skin defects, with a focus on the challenging task of dent detection. …”
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Bayesian adaptive trials for social policy by Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar, Ben Gales, Roman Marchant, Gilad Francis, Catarina Moreira, Alex Fischer

“…Moreover, BATs’ ability to value potential future information sources positions it as an optimal strategy for sequential data acquisition during policy implementation. …”
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The impact of living arrangements on dietary patterns among older adults: the mediating effects of loneliness and anxiety by Yaping Hu, Jiangyan Xiao, Xiaoxiao Li

“…Linear regression and quantile regression models were employed to investigate the effects of living arrangements on dietary patterns, while the mediating roles of loneliness and anxiety were tested using the bootstrap method. …”
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Valorization of coir peat in green extraction of valuable metals from spent lithium-ion batteries. by Sadaf Fatima, Muhammad Kaleem Khosa, Awal Noor, Sadaf Qayyum

“…Incorporation of coir peat further enhanced the leaching efficiencies 98% for Li, 84.6% for Co, 85.6% for Ni, and 79.8% for Mn. Kinetic modeling revealed a chemically controlled dissolution process, with apparent activation energies of 43 kJ/mol (Li), 68 kJ/mol (Co), 47.8 kJ/mol (Ni), and 46 kJ/mol (Mn). …”
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Violating the salary cap: exploring performance gains in the National Basketball Association by Sean Pradhan, Dima Leshchinskii

“…On-court performance and playoff status (playoff vs. non-playoff team) are compared using a series of mixed-effects models with random effects for team and season controlling for market size, operationalized using the population of the Census-defined metropolitan area, and the roster's average age. …”
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Bohm Diffusion in Magnetron Sputtering System: A Review Article by Murad M. Kadhim, Qusay A. Abbas

“…The review delves into theoretical models, experimental findings, and computational simulations to uncover the mechanisms driving Bohm diffusion within the plasma sheath. …”
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Firm ownership, institutional environment and agricultural innovation: evidence from China by Qionghua Li, Junyan Zhang, Xiumin Jiang

“…The framework is tested using an unbalanced panel of 117 Chinese agricultural listed firms during 2004–2022, employing firm-fixed-effects models and multiple robustness checks. The findings reveal that: (1) Agricultural state-owned enterprises (SOEs) demonstrate the highest innovation performance, especially those controlled by the central government. (2) However, in China’s major grain-producing regions and seed industry, the innovation performance of SOEs was not superior to that of private enterprises. (3) Improvements in the institutional environment positively moderate the relationship between firm ownership and agricultural innovation. …”
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Digital intelligence technology innovation, energy transformation and urban carbon emission efficiency by Jinrui Chen, Yichang Zhang, Mingyue Wang

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