Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…This paper enhances sensory data quality using surface reconstruction techniques, followed by the marching cubes algorithm to generate an accurate and flexible 3D soil model. This model facilitates rapid estimation of soil volume, weight, and shape, offering an efficient approach for environmental analysis and decision-making in automated systems. …”
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Association between glucose-to-albumin ratio and ischemic stroke risk in patients with coronary heart disease: a machine learning-based predictive model analysis by Ling Hou, Yuanhong Li, Qianfei Liu

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Version [2.0] — [pyMCMA: Uniformly distributed Pareto-front representation] by Marek Makowski, Janusz Granat, Andrii Shekhovtsov, Zbigniew Nahorski, Jinyang Zhao

“…pyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of the distances between neighbor Pareto solutions. pyMCMA supports scientific, i.e., objective, model analysis by providing preference-free Pareto front representation.The update provides new functionalities and enhancements. …”
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Dynamic Adaptation of Heart Rate and Autonomic Regulation During Training and Recovery Periods in Response to a 12-Week Structured Exercise Programme in Untrained Adult and Geriatr... by Thita Wonghanchao, Kanokpan Sanigavatee, Chanoknun Poochipakorn, Onjira Huangsaksri, Metha Chanda

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Does the fairness of healthcare resource allocation affect utilization efficiency?—an empirical study based on China's provincial panel data by Anying Xu, Haibin Wei

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Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and “what-if” Analysis by Dominik Dulas, Justyna Witulska, Agnieszka Wylomanska, Ireneusz Jablonski, Krzysztof Walkowiak

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Simulation modeling: an illustrative method to estimate drug clinical and economic effectiveness (retrospective meta-analysis of anti-asthmatic therapy in children in a hospital se... by O. V. Zhukova

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Ecosystem service trade-offs and synergies based on the mechanical equilibrium model: A case study of the urban agglomeration on the northern slope of the Tianshan Mountains by Jiazhen Chen, Alimujiang Kasimu, Lina Tang, Fuqiang Han, Miyesier Jumai

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Associations of liver fibrosis scores with cardiovascular disease incidence among adult rural Uyghurs in Xinjiang Uyghur Autonomous Region: a 6-year prospective follow-up study by Tingchao LIU, Shijie ZHANG, Jing YANG, Xinyu PENG, Rulin MA, Heng GUO, Xianghui ZHANG, Jia HE, Shuxia GUO

“…The concordance index (C-index) (95%CI) of the Framingham model analysis was 0.805 (0.794–0.815). The C-index (95%CI) after adding the FIB-4 score, BARD score, and Forns index was 0.809 (0.799–0.820), 0.810 (0.800–0.821), and 0.810 (0.799–0.820), respectively (all P<0.001). …”
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Statistical Modeling of Migraine Symptom Reduction in Middle-Aged and Elderly Patients: A Comparative Analysis of Aromatherapy Combined with Head Scraping Using Mean and SD Metrics by Nong Jihuan, Huang Renshuai, Liu Qing, Yang Shouyu

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A Study on the Spatiotemporal Dynamics of Land Cover Change and Carbon Storage in the Northern Gulf Economic Zone of Guangxi Based on the InVEST Model by Shu-Qi Huang, Da-Fang Wu, Yue-Ling Pan, Jin-Yao Lin, Ping Zhou

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Effect of daily average temperature on years of life lost due to non-accidental mortality and cardiovascular and cerebrovascular diseases in seven mortality surveillance sites in X... by Xixi DENG, Peihua LIAO, Yi ZHANG, Tie WANG, Wei ZHE

“…A distributed lag non-linear model (DLNM) was used to quantitatively analyze the impact of daily average temperature on residents' YLL and the lag effect. …”
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Structural modelling and categorization of barriers critical to adopting sustainable manufacturing practices in medium-sized garment manufacturing enterprises by Md. Jahedul Alam, Ahmed Sayem, Shanta Saha, Mohammad Muhshin Aziz Khan

“…MICMAC analysis further categorized these barriers as autonomous, dependent, linkage, and driver factors, with driver factors exerting the greatest influence on SMP adoption. …”
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Impact of Sanctions on Industry Indices by E. A. Fedorova, A. R. Nevredinov

“…The impact on industry indices was assessed using the random forest algorithm and GARCH analysis. It has been proven that sanctions have less impact on the indices of those industries that are sufficiently autonomous in Russia. …”
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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

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Process-Specialized Technologies Using in Agricultural Robotics by I. V. Rubtsov, O. G. Rusanova, Z. A. Godzhaev

“…The main direction of development of foreign companies is the creation of new models of navigation and orientation equipment for agricultural machinery aimed to the implementation of autonomous moving and mission equipment control. …”
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Homeschooling in Czech Families by Veronika Klapálková, Tereza Komárková, Yvona Kostelecká, Ondrej Kaščák

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Homeschooling in Czech Families by Veronika Klapálková, Tereza Komárková, Yvona Kostelecká, Ondrej Kaščák

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Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy by Antonia Antonakaki, Maria G. Oikonomou, Thodoris Garefalakis, George Yannis

“…The increasing penetration of autonomous vehicles (AVs) presents new challenges and opportunities for road safety. …”
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Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…Furthermore, the standard deviational ellipse (SDE) model and social network analysis (SNA) method are adopted to delineate the spatiotemporal evolution patterns and spatial correlation network characteristics of CTGE, based on input–output data from the transportation industry across 30 provinces (municipalities and autonomous regions) between 2003 and 2020. …”
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