Forest plots of secondary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

Subjects:

Study flow chart. by Karl Ingard (22582091)

Subjects:

Kaplan-Meier curve of the primary outcome. by Karl Ingard (22582091)

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Number of Patients Who Reached the Primary and Secondary Endpoints During Follow-up. by Karl Ingard (22582091)

Subjects:

Subgroup Analysis of the Occurrence of the Primary Endpoint and Its Components. by Karl Ingard (22582091)

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Flow diagram of the studies included in the meta-analysis. by Si He (3236646)

Subjects:

Comparison of TNF- by Mahshid Vafajoo (21144147)

Table 1_Increased frequencies of human Th-17 CD4+ T-cells and decreased T-regulatory cells in patients with early and advanced metabolic dysfunction-associated steatotic liver dise... by Elżbieta Supruniuk (16736637)

Table 2_Increased frequencies of human Th-17 CD4+ T-cells and decreased T-regulatory cells in patients with early and advanced metabolic dysfunction-associated steatotic liver dise... by Elżbieta Supruniuk (16736637)

Each group’s performance on behavioral tests. by Wenbin Wu (292223)

Contact angle between solid and liquid. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Diagram of the experimental equipment. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Sedimentation experimental device. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

The wetting feature of compound solutions. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Absorption peaks of groups. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Infrared spectrogram of lignite. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Improvement effect of lactoferrin and Coenzyme Q10 on body composition of mice with sarcopenia. by Wenbin Wu (292223)

Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”