Enhancing physical-mechanical properties of coarse slag aggregate via selective crushing for asphalt concrete by Vyacheslav Kunaev, Gulzhainat Akhmetova, Bakhyt Zhautikov, Alibek Batyrbek, Ilgar Tavshanov, Dmitriy Charnyi, Saltanat Kydyrbayeva, Saule Kamarova, Mohamad Syazli Fathi, Bakhtiyar Suleyev

“…However, its application is limited by considerable variability in key physical and mechanical properties, including compressive strength (ranging from 2 to 30 MPa), water absorption (1–30 %), aggregate crushing value (18–37 %), and frost resistance. …”
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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

“…Accurate Total Organic Carbon (TOC) prediction in the deeply buried Lower Cambrian Qiongzhusi Formation shale is constrained by extreme heterogeneity (TOC variability: 0.5–12 wt.%, mineral composition Coefficient of Variation > 40%) and ambiguous geophysical responses. …”
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Breast Tumor-Like-Masses Segmentation From Scattering Images Obtained With an Ultrahigh-Sensitivity Talbot-Lau Interferometer Using Convolutional Neural Networks by Ionut-Cristian Ciobanu, Nicoleta Safca, Elena Anghel, Dan Popescu

“…However, significant fluctuations were observed in validation accuracy, indicating sensitivity to dataset variability. U-Net demonstrated the most stable performance with an accuracy of 86.34% and an F1-score of 90.2%, making it the most reliable model for tumor segmentation in scattering images. …”
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Bacteria Assemble: Investigating Soil Bacterial Diversity and Interactions in a Sarawakian Oil Palm Plantation for Climate-Resilient Soil Management by Zahidah Ayob, Nor Azizah Kusai, Han Ming Gan, Wan Nurul‘Ain Wan Mohd Nor, Hasimah Mos, Vijaya Subramaniam, Meilina Ong Abdullah

“…Microenvironmental variability was evident, with specific groupings based on subplot sampled. …”
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Automatic Non-Urban Road Surface Point Extraction Based on Geometric Features Using Neural Networks and Raster Structure Approach by M. Dowajy, M. Fawzy, M. Fawzy, A. Barsi, T. Lovas

“…However, it remains challenging due to the variability of road characteristics and the complexity of surrounding environments, especially in non-urban areas. …”
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High-Spatial Resolution Maps of PM2.5 Using Mobile Sensors on Buses: A Case Study of Teltow City, Germany, in the Suburb of Berlin, 2023 by Jean-Baptiste Renard, Günter Becker, Marc Nodorft, Ehsan Tavakoli, Leroy Thiele, Eric Poincelet, Markus Scholz, Jérémy Surcin

“…The observed parallels between the two datasets underscore the strong correlation between traffic density and PM2.5 concentrations. Finally, the study discusses the advantages of integrating such high-resolution sensor networks with modelling approaches to enhance the understanding of localized PM2.5 variability and to better evaluate public exposure to air pollution.…”
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Climate factors dominate the spatial variation of forest soil nutrients: a meta analysis by Xiaoxuan Du, Xinyi Li, Jiangfeng Wang, Jiali Xu, Jie Gao

“…Climate factors contribute the most to the spatial variability of soil nutrients in both planted and natural forests. …”
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Soilless Agricultural Systems: Opportunities, Challenges, and Applications for Enhancing Horticultural Resilience to Climate Change and Urbanization by Imran Ali Lakhiar, Haofang Yan, Tabinda Naz Syed, Chuan Zhang, Sher Ali Shaikh, Md. Rakibuzzaman, Rahim Bux Vistro

“…Rapid urbanization, climate variability, and land degradation are increasingly challenging traditional open-field farming systems. …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…Morphometric analysis revealed variability in landslide shapes and sizes, reflecting diverse failure mechanisms triggered by the intense rainfall. …”
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Investigation of the Influence of Formulation Method on Technological Parameters of Gramicidin S and β-cyclodextrin Inclusion Complexes by A. A. Drannikov, I. S. Vatlin, M. E. Trusova, A. Di Martino, S. V. Krivoshchekov, A. M. Guriev, M. V. Belousov

“…Evaluating the technological properties of gramicidin S and β-cyclodextrin inclusion complexes significant variability, which is associated with the particle morphology. …”
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Assessment of changes in the normalized difference vegetation index (NDVI) of farmlands of Stavropol Territory, Russia, during the period of active vegetation in 2020 based on medi... by S. V. Savinova, V. V. Bratkov, I. D. Murashova, P. V. Klyushin, N. O. Guseynova

“…To explain the spatial and temporal variability of NDVI, an analysis of the conditions of heat and moisture supply was carried out using Walter's climatograms at weather stations located in the steppe and semi‐desert landscapes of Stavropol Territory.Results. …”
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Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China by Jie Chen, Yiming Lu, Fangyuan Liu, Guoping Gao, Mengyan Xie

“…The Normalized Difference Vegetation Index (NDVI) was the primary driver of spatial variability in carbon stock change (<i>q</i> = 0.63), followed by precipitation and temperature. …”
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Evaluation of Physicochemical and Cooking Characteristics of Rice (Oryza sativa L.) Landraces of Lamjung and Tanahun Districts, Nepal by Amrit Pokhrel, Anup Dhakal, Shishir Sharma, Ankur Poudel

“…The result showed that the highest milling recovery was found in Indrabeli (75.55%) whereas the lowest was found in Kalo Masino (66.98%) and bulk density ranged from 0.81 g/cm3 to 0.88 g/cm3 showing not much variability. …”
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Optimizing wireless dynamic charging infrastructure for electric vehicles: A predictive and adaptive framework leveraging decision-dependent uncertainties and renewable energy util... by Yanjia Wang, Xianlong Li, Mohannad Alhazmi, Da Xie, Xitian Wang

“…This paper proposes a novel multi-stage distributionally robust optimization (DRO) framework tailored for wireless dynamic charging lanes, addressing critical challenges such as traffic density fluctuations, renewable energy variability, and grid capacity constraints. …”
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Change in convection and thunderstorm occurrences over the Indian subcontinent during the COVID-19 pandemic by Rakesh Ghosh, Pavan R Vaidya, Manoj A Domkawale, Sunil D Pawar, V Gopalakrishnan

“…These insights advance understanding of convective storm responses to aerosol variability and have important implications for future atmospheric electrification trends under changing emission scenarios. …”
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The impact of atmospheric pollutants on the physical health of college students based on physical examination data of college students from a university in Xi’an, Shaanxi Province,... by Jiaxin He, Ke Liu, Zhiyu He

“…Physical fitness scores exhibited high variability (SD = 9.62, range = 10.2–109).ResultsAir pollution was significantly associated with a reduction in physical fitness scores. …”
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Concomitant generation of hydrogen during carbon dioxide storage in ultramafic massifs- state of the art with implications to decarbonization strategies by Mahmoud Leila, Randy Hazlett, Paul Mathews George, Isabelle Moretti, Zhaksylyk Kabashev, Milovan Fustic

“…Although these processes can occur concurrently, the degree of mineral dissolution, oxidation, and subsequent precipitation exhibits substantial variability depending on the lithology. Moreover, the optimal temperature ranges for H₂ generation and CO₂ mineralization differ, further influencing their coupling potential. …”
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Analysis of Spatiotemporal Predictions and Drivers of Carbon Storage in the Pearl River Delta Urban Agglomeration via the PLUS-InVEST-GeoDetector Model by Jinghang Cai, Hui Chi, Nan Lu, Jin Bian, Hanqing Chen, Junkeng Yu, Suqin Yang

“…The geographic detector model was leveraged to dissect the determinants of the spatial and temporal variability of carbon storage, offering pertinent recommendations. …”
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Adaptive zone, Petersen-type communities, geographical range and ecological niche. Report 1. Defnitions and relations of the concepts by I. V. Volvenko

“…But even signifcant changes in the ratios of GR and AZ of species will not cause catastrophic consequences in conditions of abundant vital resources, if ecological capacity of the environment is not flled and packing density of EN is low. Changes in the environment, as well as ontogenetic, migratory, succession and evolutionary processes cause changes in ratio of abundance between different species, including mass ones, that leads to variability of their AZ. …”
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A Retrospective Study on the Incidence of Periprosthetic Fractures Related to Total Hip Arthroplasty and Postoperative Complications During Hospitalization by Victor Niculescu, Delia Carmen Nistor-Cseppento, Sebastian Tirla, Brigitte Osser, Cristina Aur, Diana Mocuta, Gheorghe Ion Popescu, Radu Dan Necula

“…To highlight whether age is a predictive factor for PFs, we used the linear regression model; this suggests that older age explains 2.7% of the total variability in the incidence of PFs, being statistically significant ([F(1, 766) = 20.923], <i>p</i> < 0.001). …”
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