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  1. 841
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    3D modelling and simulation of thermal effects and dispersion of particles carrying infectious respiratory agents in a railway transport coach by Patrick Armand, Jérémie Tâche

    Published 2025-01-01
    “…In the first part of our research, we used Computational Fluid Dynamics (CFD) to model and simulate in 3D the transport and dispersion of particles from 1 µm to 1 mm in the turbulent flow generated by the ventilation of the railway coach. …”
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  3. 843

    Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

    Published 2025-01-01
    “…It compares outcomes of two multi-agent systems, testing intelligent computer agent decision-making with selected behavioural patterns associated with human decision-making, given the same choices and scenarios. …”
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  4. 844

    Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. by Itunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, Jerry Emmanuel, Jelili Oyelade

    Published 2024-01-01
    “…Identifying these genes, especially in complex organisms like Plasmodium falciparum, which causes malaria, is challenging due to the cost and time associated with experimental methods. Thus, computational approaches have emerged. …”
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    The Foundations for the Current Development of National Mathematical Education, Laid by its Leaders in the 20th Century by Alexei L. Semenov, Alma E. Abylkassymova, Tatiana A. Rudchenko

    Published 2024-12-01
    “…Dorofeev and other leading Russian researchers of school mathematical education of the 20th century, including V.V. …”
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    Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

    Published 2025-01-01
    “…This process enhances model precision and drastically lowers the computational demands associated with training and predicting. …”
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    Article
  12. 852

    Serum Pharmacochemistry and Network Pharmacology Reveal Active Compounds and Mechanisms of the Huaxian Formula in Alleviating Radiation-Induced Pulmonary Fibrosis by Gong C, Chen J, Zou P, Fang Z, Quan L, Wang J, Yin J, Lin B, Lang J, Chen M

    Published 2025-01-01
    “…Overlapping these compounds with 991 RIPF-related genes yielded 127 genes primarily associated with the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and the MAPK signaling pathway. …”
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    Evidence linking phthalate exposure to alterations of hematologic parameters in Chinese children: A cross-sectional study by Mei-Ting Wei, Ying Wen, Zhu-Xia Zhang, Xiu-Ju Liu, Feng-Xiang Wei, Wei-Qiang Liu, Li Zhou, Ding-Yan Chen, Yao Yao

    Published 2025-01-01
    “…School-aged children are a particularly susceptible population to phthalate exposure, yet research examining the correlation between combined exposure to multiple phthalates and hematologic changes is limited. …”
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    Restituer les bidonvilles de Nanterre : l’apport d’un outil de visualisation 3D à un projet de sciences sociales by Paul Lecat, Émile Blettery, Lætitia Delavoipière, Frédéric Saly-Giocanti, Sylvaine Conord, Valérie Gouet-Brunet, Alexandre Devaux, Mathieu Brédif, Frédéric Moret

    Published 2021-05-01
    “…Soon, these informal shacks grew together and ended up forming urban complexes, presented and administered as shantytowns, and the city of Nanterre was then durably associated with them. This article proposes to review an interdisciplinary research experience around this object of study. …”
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  17. 857

    Vertex-Edge-Degree-Based Topological Properties for Hex-Derived Networks by Ali Ahmad, Muhammad Imran

    Published 2022-01-01
    “…Graph theory plays a very useful role in such type of research directions. The hex-derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. …”
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  18. 858

    Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

    Published 2025-02-01
    “…Abstract Liver cancer detection is critically important in the discipline of biomedical image testing and diagnosis. Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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    Orthoweb: a software package for evolutionary analysis of gene networks by R. A. Ivanov, A. M. Mukhin, F. V. Kazantsev, Z. S. Mustafin, D. A. Afonnikov, Y. G. Matushkin, S. A. Lashin

    Published 2025-01-01
    “…This feature allows the users to retrieve pre-computed phylostratigraphic and divergence data efficiently, significantly reducing computational time and effort.…”
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