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  1. 17961
  2. 17962

    Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation by N. E. Egorov, G. S. Kovrov

    Published 2023-12-01
    “…The research is based on materials and data from the ratings of scientific and technological development of regions - the Index of Scientific and Technological Development of the rating agency RIA Rating, the National Rating of Scientific and Technological Development of subjects of the Russian Federation of the Ministry of Education and Science of the Russian Federation and the Rating of Scientific and technological development of subjects of the Russian Federation of the Institute of Economics of the Russian Academy of Sciences.Results: the authors propose the algorithm for researching the scientific and technical development of regions, according to which, first of all, the relevant methodological approaches and assessment methods presented in the scientific literature are analyzed. …”
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  3. 17963
  4. 17964
  5. 17965

    Minimum carbon dioxide is a key predictor of the respiratory health of pigs in climate-controlled housing systems by Eddiemar Baguio Lagua, Hong-Seok Mun, Keiven Mark Bigtasin Ampode, Hae-Rang Park, Md Sharifuzzaman, Md Kamrul Hasan, Young-Hwa Kim, Chul-Ju Yang

    Published 2024-12-01
    “…Two-sample tests were performed to compare the means of the groups, and a random forest algorithm was used to identify the importance scores of the environmental variables to respiratory health. …”
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  6. 17966

    Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

    Published 2025-07-01
    “…The contributions include threefold: First, identifying the co-evolutionary path of algorithmic architectures from adaptive optimization (neural tangent kernel-guided weighting achieving 230% convergence acceleration in Navier-Stokes solutions) to hybrid numerical-deep learning integration (5× speedup via domain decomposition) and second, constructing bidirectional theory-application mappings where convergence analysis (operator approximation theory) and generalization guarantees (Bayesian-physical hybrid frameworks) directly inform engineering implementations, as validated by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>72</mn><mo>%</mo></mrow></semantics></math></inline-formula> cost reduction compared to FEM in high-dimensional spaces (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.01</mn><mo>,</mo><mi>n</mi><mo>=</mo><mn>15</mn></mrow></semantics></math></inline-formula> benchmarks). …”
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  7. 17967

    4-D ERT monitoring of oil spill contamination dynamics and remediation planning in southern Nigeria by Stanley Uchechukwu Eze, Difference Odeyovwi Ogagarue, Juyeon Jeong, Myung Jin Nam, Omafume M. Orji, Williams N. Ofuyah

    Published 2025-02-01
    “…A time-dependent evaluation of 3-D ERT models showed a reduction in the apparent resistivity of the contaminant plume during the rainy season compared to the dry season. …”
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  8. 17968
  9. 17969
  10. 17970

    STRATEGICITY AS A BASIC PRINCIPLE OF PROFESSIONAL AND PEDAGOGICAL ACTIVITY by Olha O. Lilik

    Published 2020-12-01
    “…It was found that strategies for solving professional problems within pedagogical activities are divided into algorithmic and heuristic. The algorithmic strategy is based on a certain algorithm as a set of rules that provide a single correct solution. …”
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    Article
  11. 17971
  12. 17972

    Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

    Published 2020-05-01
    “…By using the data mining algorithm Naive bayes and neural network, the student graduation in STMIK Widya Cipta Dharma (WiCiDa) can be predicted. …”
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  13. 17973

    Impact of the China's new energy market on carbon price fluctuation risk: Evidence from seven pilot carbon markets by Ruo-Yang Pu, Qiao-Mei Liang, Yi-Ming Wei, Song-Yang Yan, Xiang-Yu Wang, De-Hua Li, Chen Yi, Chang-Jing Ji

    Published 2025-05-01
    “…Moreover, to address subjectivity in variable selection and overfitting issues in carbon price determinants, the LASSO algorithm is integrated with the multivariate GARCH model. …”
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  14. 17974
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  16. 17976

    Reconstructed dose and geometric coverage for tight margins using intrafraction re-planning on an integrated magnetic resonance imaging and linear accelerator system for prostate c... by Ingeborg van den Berg, Cornel Zachiu, Eline N. de Groot-van Breugel, Thomas Willigenburg, Gijsbert H. Bol, Jan J.W. Lagendijk, Bas W. Raaymakers, Harm H.E. van Melick, Cornelis A.T. van den Berg, Jochem R.N. van der Voort van Zyp, Johannes C.J. de Boer

    Published 2025-04-01
    “…Background and purpose: A sub-fractionation workflow enables a substantial reduction in planning target volume (PTV) margin in prostate cancer (PCa) patients by reducing systematic motion during magnetic resonance (MR)-guided radiotherapy. …”
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  17. 17977
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  19. 17979

    Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

    Published 2024-06-01
    “…We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. …”
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  20. 17980

    Simultaneous multislice cardiac multimapping based on locally low-rank and sparsity constraints by Yixin Emu, Yinyin Chen, Zhuo Chen, Juan Gao, Jianmin Yuan, Hongfei Lu, Hang Jin, Chenxi Hu

    Published 2024-01-01
    “…To mitigate image artifacts and noise caused by the ill-conditioning, a reconstruction algorithm based on locally low-rank and sparsity (LLRS) constraints was developed. …”
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