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    Adolescent dropouts’ functioning in relationships with parents and peers by Ewa Rzechowska

    Published 2024-10-01
    “…Generalizations are made based on the decision tree generated by Quinlan’s algorithm. Based on it, a model of the variant modes of adolescent dropouts’ functioning is constructed. …”
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    The Application of the Internet of Things Framework in the Ideological and Political Teaching System by Bei Qiu, Pakiza Ikram

    Published 2022-01-01
    “…This study uses Internet of Things technology to build a smart system for ideological and political education in order to remove several flaws in present ideological and political teaching. …”
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    Genetic variants and molecular profiling of 46,XY gonadal dysgenesis using whole-exome sequencing by Ning Zhang, Ning Zhang, Ning Zhang, Shuoming You, Shuoming You, Jingjing Guo, Jingjing Guo, Xingyu Chang, Xingyu Chang, Junjun Qiu, Junjun Qiu, Keqin Hua, Keqin Hua

    Published 2025-04-01
    “…These variant sites are conserved among species and were predicted to be damaging according to functional algorithms and protein analyses. …”
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  12. 14512

    Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma by Zhen Wang, Zhen Wang, Zhen Wang, Gangchen Zhou, Gangchen Zhou, Rongchuan Cao, Rongchuan Cao, Guolin Zhang, Guolin Zhang, Yongxu Zhang, Yongxu Zhang, Mingyue Xiao, Longbi Liu, Longbi Liu, Xuesong Zhang

    Published 2025-07-01
    “…To identify distinct molecular subtypes, a multi-omics data integration approach was employed, utilizing 10 distinct clustering algorithms. Survival analysis, immune infiltration profiling and drug sensitivity predictions were then used to evaluate the prognostic significance and therapeutic responses of these subtypes. …”
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  13. 14513

    A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates by Sherin Eliyas, Ranjana P

    Published 2023-12-01
    “…This enables us to gather information from the candidates and make accurate predictions about the jobs that might suit them. This is also durable in the sense that any missing data about the candidate does not affect the algorithm as a whole as it is capable of making assumptions regarding the missing data based on similar data already stored in the database. …”
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  14. 14514

    Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned A... by Gabriel Italo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, Alan Cézar Bezerra, Elisiane Alba, Marcos Vinícius da Silva, Jhon Lennon Bezerra da Silva, Luciana Sandra Bastos de Souza, Gabriel Thales Barboza Marinho, Abelardo Antônio de Assunção Montenegro, Thieres George Freire da Silva

    Published 2024-11-01
    “…The RGBVI and E<i>x</i>GR indices stood out for presenting greater correlations with FM and DM. The prediction analysis using the Random Forest algorithm, highlighting DM, which presented a mean absolute error of 1.39, 0.99, and 1.72 Mg ha<sup>−1</sup> in experimental units I and II, III, and IV, respectively. …”
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  15. 14515

    Analysis and mitigation of greenhouse gases by replacing traditional energy with a hybrid energy system using battery optimization by Madhusudhanan Sampath, Amalorpava Mary Rajee Samuel, Yamuna Devi M.M, Senthil Murugan

    Published 2025-08-01
    “…The stability analysis is evaluated using the LO algorithm, specifically focusing on the changes predicted by the energy index of the self-reliance report, optimising the system’s performance under varying environmental conditions. …”
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    A framework of crop water productivity estimation from UAV observations: A case study of summer maize by Minghan Cheng, Ni Song, Josep Penuelas, Matthew F. McCabe, Xiyun Jiao, Yuping Lv, Chengming Sun, Xiuliang Jin

    Published 2025-08-01
    “…To address this challenge, our research develops an innovative UAV-based monitoring framework through systematic integration of long-term multispectral/thermal infrared observations with multi-model fusion: (1) Surface Energy Balance Algorithm for Land (SEBAL) and FAO-56 Penman-Monteith models for evapotranspiration (ET) estimation; (2) Random Forest algorithm incorporating four phenotypical growth indicators for yield estimation, ultimately enabling CWP quantification. …”
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