The top 20 candidate drugs demonstrating the most significant sensitivity differences between high- and low-GSRS subjects. by Yu Zhang (12946)

Subjects:

Details of significantly differentially abundant metabolites (<i>PPP1CC</i>-SSKO vs control). by Jiahong Sun (6497603)

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Correlation between HRV and cognitive performance variables (n = 45). by Min Wang (21070)

Subjects:

Effects of Tai Chi exercise on anxiety of college students. by Min Wang (21070)

Subjects:

Flowchart of the study protocol. by Min Wang (21070)

Subjects:

Effects of Tai Chi exercise on theta oscillatory power of college students. by Min Wang (21070)

Subjects:

Subject characteristics (n = 45). by Min Wang (21070)

Subjects:

Transcriptome and Metabolome Based Mechanisms Revealing the Accumulation and Transformation of Sugars and Fats in Pinus armandii Seed Kernels during the Harvesting Period by Nan Li (155066)

Subjects:

Geometric mean anti-<i>Na</i>-GST-1 IgG levels over time by vaccine group, as measured by ELISA (Arbitrary Units). by David J. Diemert (8135568)

Subjects:

Demographic and baseline characteristics of study participants by vaccine group. by David J. Diemert (8135568)

Subjects:

Geometric mean anti-<i>Na</i>-GST-1 IgG subclass levels over time. by David J. Diemert (8135568)

Subjects:

Anti-<i>Na</i>-GST-1 IgG antibody levels and seroresponse rates by vaccine group and study day. by David J. Diemert (8135568)

Subjects:

Number and percentage of participants experiencing solicited injection site and systemic reactions by maximum severity and vaccine group. by David J. Diemert (8135568)

Subjects:

Optimal proportion under comprehensive balance analysis (vertical "*" indicates the number of occurrences for a certain factor at a certain level, horizontal "*" denotes the degree... by Junxia Zhou (14381598)

Subjects:

This figure shows the forest plot for the multivariable logistic regression found in Table 1. by Scott J. Halperin (17835402)

SI Figure 1- uncropped western blots by Renata Goncalves (15806162)

Subjects:

Implementation framework. by Amos Asiedu (4996946)

“…HMIS data showed statistically significant improvement in data completeness (from 62 to 87% (p < 0.001)) and decreased error rate (from 37 to 18% (p < 0.001)) after completion of the coaching visit series. …”

DHIMS2 data quality over time. by Amos Asiedu (4996946)

“…HMIS data showed statistically significant improvement in data completeness (from 62 to 87% (p < 0.001)) and decreased error rate (from 37 to 18% (p < 0.001)) after completion of the coaching visit series. …”

Regression situation of each cross-section. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”