Showing 10,341 - 10,360 results of 18,442 for search 'significantly ((((((nn decrease) OR (a decrease))) OR (mean decrease))) OR (linear decrease))', query time: 0.63s Refine Results
  1. 10341

    Migration and attacking prey. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  2. 10342

    Description of the behaviour of GWO. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  3. 10343

    The optimized results of the 118-Bus. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  4. 10344

    Single line diagram of RDN. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  5. 10345

    Supporting information. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  6. 10346

    LSF for 118 Bus. by Ahmed A. Zaki Diab (12757190)

    Published 2025
    “…Moreover, a real case of study from Egypt of 15 bus has been considered and evaluated with considering the applied techniques. …”
  7. 10347

    Table 1_Genetic diversity and antibiotic resistance of Mycobacterium bovis in bovines in the Delta area of Egypt.docx by Mohamed Sabry A. Elsayed (22235200)

    Published 2025
    “…Introduction<p>Mycobacterium bovis (M. bovis) causes significant financial harm to the cattle industry through decreased productivity and trade limitations, while also posing a risk to human health through zoonotic transmission, which is primarily from unpasteurized milk or close animal contact.…”
  8. 10348

    Data Sheet 1_A comparative study on tobacco prevalence and secondhand smoke exposure before and after the lockdown in Rizhao, China: analysis of 2022 and 2024 data.pdf by Zhao-Hui Liang (21604178)

    Published 2025
    “…The chi-square test was used to determine whether there were significant differences.</p>Result<p>A total of 1872 valid questionnaires were collected from the two surveys. …”
  9. 10349

    Supplementary file 1_IGF-1 secreted by mesenchymal stem cells affects the function of lymphatic endothelial progenitor cells: a potential strategy for the treatment of lymphedema.d... by Zekuan Xue (21398444)

    Published 2025
    “…<p>Mesenchymal stem cells (MSCs) can participate in lymphangiogenesis through paracrine effects, while lymphatic endothelial progenitor cells (LEPCs), a subpopulation of endothelial progenitor cells (EPCs), can differentiate into mature lymphatic endothelial cells, thereby influencing lymphatic function. …”
  10. 10350

    Data Sheet 1_Protein-free domains in native and ferroptosis-driven oxidized cell membranes: a molecular dynamics study of biophysical properties and doxorubicin uptake.pdf by Yaser Shabanpour (13247160)

    Published 2024
    “…<p>Ferroptosis is a regulated form of cell death characterized by iron-dependent lipid peroxidation of polyunsaturated fatty acids (PUFAs). …”
  11. 10351

    Major hyperparameters of RF-SVR. by Jintao Li (448681)

    Published 2024
    “…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
  12. 10352

    Pseudo code for coupling model execution process. by Jintao Li (448681)

    Published 2024
    “…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
  13. 10353

    Major hyperparameters of RF-MLPR. by Jintao Li (448681)

    Published 2024
    “…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
  14. 10354

    Results of RF algorithm screening factors. by Jintao Li (448681)

    Published 2024
    “…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
  15. 10355

    Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

    Published 2024
    “…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
  16. 10356

    Image_2_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.T... by Hang Qian (444740)

    Published 2024
    “…From 2020 to 2044, the global age-standardized incidence rate of MSMIs in WCBA was predicted to decrease whereas the case number increases slowly.</p>Conclusion<p>The global trends in MSMIs incidence and mortality generally showed a decline with considerable heterogeneity, indicating both the effectiveness and unevenness of global management of MSMIs. …”
  17. 10357

    Data Sheet 1_Global, regional, and national burden of pneumococcal disease among children and adolescents aged <20 years from 1990 to 2021: a predictive analysis.docx by Gan-min Wang (21188933)

    Published 2025
    “…Despite a global decrease in burden, significant regional and socioeconomic disparities, as well as long-term trends, are not fully understood.…”
  18. 10358

    Table_1_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.X... by Hang Qian (444740)

    Published 2024
    “…From 2020 to 2044, the global age-standardized incidence rate of MSMIs in WCBA was predicted to decrease whereas the case number increases slowly.</p>Conclusion<p>The global trends in MSMIs incidence and mortality generally showed a decline with considerable heterogeneity, indicating both the effectiveness and unevenness of global management of MSMIs. …”
  19. 10359

    Image_4_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.J... by Hang Qian (444740)

    Published 2024
    “…From 2020 to 2044, the global age-standardized incidence rate of MSMIs in WCBA was predicted to decrease whereas the case number increases slowly.</p>Conclusion<p>The global trends in MSMIs incidence and mortality generally showed a decline with considerable heterogeneity, indicating both the effectiveness and unevenness of global management of MSMIs. …”
  20. 10360

    Image_3_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.J... by Hang Qian (444740)

    Published 2024
    “…From 2020 to 2044, the global age-standardized incidence rate of MSMIs in WCBA was predicted to decrease whereas the case number increases slowly.</p>Conclusion<p>The global trends in MSMIs incidence and mortality generally showed a decline with considerable heterogeneity, indicating both the effectiveness and unevenness of global management of MSMIs. …”