Supplementary file 1_Association of antenatal dexamethasone administration timing with outcomes in preterm infants in a low- and middle-income country.docx by Vijay Kalrao (22696397)

“…No other secondary outcomes differed significantly.</p>Conclusion<p>Dexamethasone administration within 24 h before delivery did not reduce mortality but significantly decreased the risk of severe NEC. …”

Data Sheet 1_Short-term structured dietary and exercise interventions delay diabetes onset in prediabetic patients: a prospective quasi-experimental study.pdf by Zhen Wang (72451)

“…The mean survival time before diabetes onset was significantly longer in prediabetic patients who received SAIDEs than in those in other groups.…”

Supplementary Material for: Pharmacokinetic Properties of Dapagliflozin in Patients with Stage 4 Chronic Kidney Disease by figshare admin karger (2628495)

“…In the multiple-dose group, UACR decreased by 21% and 24-hour urinary protein decreased by 23% from baseline to 24 hours after the last dose. …”

Table 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 6_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Generated spline library. by Zhe Hu (787283)

“…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.…”

Correlation coefficient matrix. by Zhe Hu (787283)

“…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.…”

Actual measurement of shape errors. by Zhe Hu (787283)

“…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.…”

RMSE versus learning rate. by Zhe Hu (787283)

“…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.…”

Long-term outcomes of refractory central venous occlusive disease treated by stent deployment in patients undergoing maintenance hemodialysis by Yuqin Xiong (14291305)

“…The number of secondary stenting procedures was significantly associated with decreased VA abandonment [odds ratio (OR) = 0.089, 95% confidence interval (CI): 0.008–0.992, <i>p</i> = 0.049] and all-cause mortality (OR = 0.104, 95% CI: 0.011–0.947, <i>p</i> = 0.045).…”

RMSE versus training parameters. by Zhe Hu (787283)

“…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.…”