Showing 181 - 200 results of 10,164 for search '(( significant based decrease ) OR ( significant ((shape decrease) OR (we decrease)) ))', query time: 0.73s Refine Results
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    This is the raw data used for this study. by James M. Friedman (22522150)

    Published 2025
    “…Average age was 48. 37% were male. 89% of patients who received a preoperative subcoracoid injection reported a significant decrease in presenting symptoms. 6 months after PM release, median VAS pain scores decreased from 8 to 2. …”
  3. 183

    Pre-operative versus post-operative symptoms. by James M. Friedman (22522150)

    Published 2025
    “…Average age was 48. 37% were male. 89% of patients who received a preoperative subcoracoid injection reported a significant decrease in presenting symptoms. 6 months after PM release, median VAS pain scores decreased from 8 to 2. …”
  4. 184

    Patient Demographics. by James M. Friedman (22522150)

    Published 2025
    “…Average age was 48. 37% were male. 89% of patients who received a preoperative subcoracoid injection reported a significant decrease in presenting symptoms. 6 months after PM release, median VAS pain scores decreased from 8 to 2. …”
  5. 185

    Diagnostic Criteria for Human Disharmony Loop. by James M. Friedman (22522150)

    Published 2025
    “…Average age was 48. 37% were male. 89% of patients who received a preoperative subcoracoid injection reported a significant decrease in presenting symptoms. 6 months after PM release, median VAS pain scores decreased from 8 to 2. …”
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    Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

    Published 2025
    “…By controlling the grafting rate, it was found that the solution pH and p<i>K</i><sub>a</sub> of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”
  9. 189

    Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

    Published 2025
    “…By controlling the grafting rate, it was found that the solution pH and p<i>K</i><sub>a</sub> of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”
  10. 190

    Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

    Published 2025
    “…By controlling the grafting rate, it was found that the solution pH and p<i>K</i><sub>a</sub> of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”
  11. 191

    Standardized estimation of centrality index. by Song Chen (69646)

    Published 2025
    “…</p><p>Methods</p><p>Our research utilized data samples from the National Health and Nutrition Examination Survey (NHANES) spanning from 2009 to 2018. We assessed depression symptoms through the Patient Health Questionnaire-9, while categorizing physical activity based on the Metabolic Equivalent of Task (MET) values recommended by NHANES and the U.S. physical activity guidelines. …”
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    Source data - by Desheng Xie (21439869)

    Published 2025
    Subjects:
  14. 194

    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  15. 195

    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  16. 196

    Shape error measurement results statistics. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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