يعرض 3,341 - 3,360 نتائج من 3,537 نتيجة بحث عن '(( significantly affected decrease ) OR ( significantly larger decrease ))', وقت الاستعلام: 0.42s تنقيح النتائج
  1. 3341

    Descriptive statistics. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  2. 3342

    Changes in body composition, PSC, PSCP, MVPA. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  3. 3343

    Image 1_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.png حسب Zhongyuan Bai (8859077)

    منشور في 2025
    "…Firmicutes and Proteobacteria initially decreased and then increased, while Bacteroidota exhibited the opposite process. …"
  4. 3344

    Causal paths for FFM. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  5. 3345

    Recruitment and screening flowchart. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  6. 3346

    Image 2_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.jpeg حسب Zhongyuan Bai (8859077)

    منشور في 2025
    "…Firmicutes and Proteobacteria initially decreased and then increased, while Bacteroidota exhibited the opposite process. …"
  7. 3347

    Factors influencing body fat percentage at Q2. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  8. 3348

    Factors influencing body fat percentage at Q1. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  9. 3349

    STROBE flowchart. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  10. 3350

    Factors influencing FFM at Q1. حسب Xiang Pan (5774024)

    منشور في 2025
    "…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …"
  11. 3351

    Table 3_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  12. 3352

    Table 5_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  13. 3353

    Table 2_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  14. 3354

    Table 1_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  15. 3355

    Image 1_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.jpeg حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  16. 3356

    Table 4_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx حسب Jie Pan (187977)

    منشور في 2025
    "…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …"
  17. 3357

    Data Sheet 1_Assessing the impact of climate change on the potential distribution of Keteleeria evelyniana Mast. in southwest China: a Maxent modeling approach.docx حسب Yuan Feng (213823)

    منشور في 2025
    "…Temperature was the dominant factor affecting its distribution (77.8%), whereas the effects of soil variables and altitude were significant. …"
  18. 3358

    ChatGPT in CKD: Using Artificial Intelligence for Health Literacy حسب Oscar Yasser Pena Zapata (19959306)

    منشور في 2024
    "…The most notable simplification was in one question, where the readability score decreased from 11.8 to 5.2. A p-value of <0.05 indicated the results were statistically significant. …"
  19. 3359

    The effect of cognitive behavioral therapy-based psychoeducation on substance abuse proclivity in adolescent smokers حسب Behiye Dilmen Bayar (19133390)

    منشور في 2025
    "…<p>The aim of this study is to determine how CBT-based psychoeducation affects substance abuse proclivity in adolescent smokers.…"
  20. 3360

    Image 1_A study on pregenomic RNA and factors in the pregnant and postpartum women with chronic HBV infection based on real world.jpeg حسب Juan Tang (437969)

    منشور في 2025
    "…Considering that patients receiving antiviral treatment often have a high DNA load or HBeAg positivity, the DNA level and HBeAg essentially affect pgRNA levels. </p>Conclusion<p>pgRNA levels differ between pregnant and postpartum patients, and this difference is of great significance for the diagnosis and management of these particular groups.…"