Showing 2,501 - 2,520 results of 5,047 for search 'significantly ((((((lower decrease) OR (linear decrease))) OR (nn decrease))) OR (larger decrease))', query time: 0.63s Refine Results
  1. 2501

    Photomicrograph of the gastric mucosa colored with an anti-caspase-3 antibody. by Rehab F. Taher (20478600)

    Published 2025
    “…<p>The percentage of caspase-3 positive cells having strong brown coloring is reduced in the omeprazole group (c), while the control ethanol group (d) exhibited increased expression of caspase-3 and a higher percentage of positive cells with powerful brown cytoplasmic and/or nuclear coloring, (d) PM-EtOH (25 mg/kg) group showing decreased expression of caspase-3, along with the presence of moderately stained cells, (e) PM-EtOH (50 mg/kg) group showing decreased percentage of caspase-3 positive cells, (f) PM-EtOH (100 mg/kg) group showing weak caspase-3 expression, via a significant lowering in caspase-3-positively colored cells. …”
  2. 2502
  3. 2503
  4. 2504

    Demographic characteristics of participants. by Evelyn Aboagye Addae (22648064)

    Published 2025
    “…Adolescents who reported negative changes in peer relationship, positive affect and subjective feelings of unsafety were more likely to report poorer SWB including lower life satisfaction and happiness. For instance, adolescents who experienced increase in peer relationship were more likely to experience higher overall life satisfaction (<i>B</i> = .169, <i>p</i> < .005) compared to those who experienced a decrease in peer relationship. …”
  5. 2505

    Participant characteristics and study measures. by Evelyn Aboagye Addae (22648064)

    Published 2025
    “…Adolescents who reported negative changes in peer relationship, positive affect and subjective feelings of unsafety were more likely to report poorer SWB including lower life satisfaction and happiness. For instance, adolescents who experienced increase in peer relationship were more likely to experience higher overall life satisfaction (<i>B</i> = .169, <i>p</i> < .005) compared to those who experienced a decrease in peer relationship. …”
  6. 2506

    Evolutionary tree analysis of ZmSTOMAGEN. by Juan-Juan Xu (18590868)

    Published 2025
    “…The mutant displayed a lower stomatal density and index, leading to reduced net photosynthetic rate, transpiration rate, and stomatal conductance but increased water-use efficiency (WUE). …”
  7. 2507

    Validation of the optimum formula. by Randa Mohammed Zaki (21637175)

    Published 2025
    “…The cytotoxicity of the optimized bilosomal formulation was enhanced on the MCF-7 breast and OV-2774 ovarian cancer cell lines compared to AXT suspension even at lower concentrations. Flow cytometry showed that AXT loaded BSMs made a significant increase in the percentage of apoptotic cells in MCF-7 and OV-2774 cells, respectively. …”
  8. 2508

    Raw data for all figures. by Juan-Juan Xu (18590868)

    Published 2025
    “…The mutant displayed a lower stomatal density and index, leading to reduced net photosynthetic rate, transpiration rate, and stomatal conductance but increased water-use efficiency (WUE). …”
  9. 2509
  10. 2510

    Mean parameter values for the selected crops. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  11. 2511

    Performance comparison of ML models. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  12. 2512

    Comparative data of different soil samples. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  13. 2513

    Confusion matrix of random forest model. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  14. 2514

    Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  15. 2515

    Evaluation metrics of selected ML models. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  16. 2516

    Block diagram of the proposed system. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  17. 2517

    Chart for applicable amount of fertilizers. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  18. 2518

    Cost analysis of irrigation controller unit. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  19. 2519

    Run times of two algorithms. by Gourab Saha (8987405)

    Published 2025
    “…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
  20. 2520