Showing 5,121 - 5,140 results of 18,582 for search 'significantly ((((lower decrease) OR (((we decrease) OR (a decrease))))) OR (linear decrease))', query time: 0.54s Refine Results
  1. 5121

    Sleep quality of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
    “…Excessive use of screen devices has resulted in decreased sleep and had a negative impact on mental health of adolescents. …”
  2. 5122

    Mental health status of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
    “…Excessive use of screen devices has resulted in decreased sleep and had a negative impact on mental health of adolescents. …”
  3. 5123
  4. 5124
  5. 5125

    Model parameter indicators. by Hongwei Bai (1447999)

    Published 2025
    “…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
  6. 5126
  7. 5127

    Accuracy and loss values of each model. by Hongwei Bai (1447999)

    Published 2025
    “…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
  8. 5128

    Classification of bearing data labels. by Hongwei Bai (1447999)

    Published 2025
    “…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
  9. 5129
  10. 5130

    DataSheet1_Two-decade variability and trend of chlorophyll-a in the Arabian Sea and Persian Gulf based on reconstructed satellite data.docx by Mengmeng Yang (475288)

    Published 2024
    “…Rising SST anomalies (SST_A) correlated with reduced Chl-a anomalies (Chl-a_A) in the western AS, while increased wind anomalies (Wind_A) enhanced Chl-a_A in the western AS but decreased it in the southern PG. …”
  11. 5131
  12. 5132

    Data Sheet 1_Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent... by Peter Ruppersberg (22123543)

    Published 2025
    “…Notably, the majority of significant sources were not continuously active; however, when these sources switched “ON,” the spatial variability of AF cycle lengths in the respective atrium decreased by more than 50%, suggesting an entraining effect.…”
  13. 5133

    <b> </b> Energy efficiency and gas volume comparison. by Ning Zuo (17295415)

    Published 2025
    “…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”
  14. 5134

    Model validation of kinetic parameters. by Ning Zuo (17295415)

    Published 2025
    “…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”
  15. 5135

    Descriptive statistics and variable definitions. by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”
  16. 5136

    The results of endogenous analysis. by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”
  17. 5137

    Correlation test. by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”
  18. 5138

    S1 Dataset - by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”
  19. 5139

    The mediation of confidence. by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”
  20. 5140

    Robustness test. by Tiantian Dong (6247917)

    Published 2024
    “…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”