Group control-before intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Patient satisfaction with SFA intervention(%). by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Pre-Experiment. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group SFA-after intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Flowchart of literature screening process. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Basic characteristics of included literature. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Raw data. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Forest plot of overall analysis results. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Forest plot for subgroups of infection types. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Data Sheet 1_Introduction of Panax notoginseng into pine forests significantly enhances the diversity, stochastic processes, and network complexity of nitrogen-fixing bacteria in t... by Xiaoyan Zhao (347268)

“…</p>Results and discussion<p>Sanqi cultivation triggered a decrease in the abundance of NFB but increased α diversity. …”

Sensitivity analysis results. by Shangtian Wang (20933822)

Table 1_Targeting nail psoriasis: IL-17A inhibitors demonstrate site-specific superiority over IL-23 inhibitor in a 24-week dermoscopy-guided real-world cohort.docx by Xiamei Yan (21014921)

“…No TEAEs were reported in the GUS group, and no serious adverse events occurred in any group.</p>Conclusion<p>IL-17A inhibitors and the IL-23 inhibitor demonstrated significant efficacy in improving both nail and skin lesions in psoriasis. …”

Forest plot for subgroups of analysis types. by Shangtian Wang (20933822)

Forest plot for subgroups of study types. by Shangtian Wang (20933822)

Chart illustrates the treated groups (BM-MSC1, BM-MSC2, AD-MSC1, AD-MSC2) increasing in cell viability over replicates, while the untreated groups (Un-BM1, Un-BM2, Un-AD1, Un-AD2)... by Alani Mohanad Khalid Ahmed (22693496)

Bar graphs showing the total loss rates and 95% confidence intervals for each region in Ethiopia, Kenya, and Benin. by Beatrice T. Nganso (4114768)

(a) Dimensionless diameter and (b) droplet generation frequency versus the magnet distance from the vertex of the hydrophilic surface for different ferrofluid injection rates and t... by Amirhossein Favakeh (21417884)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on Chlorophyll a (Chla), Chlorophyll B (Chlb), Carotenoi... by Amal Bouallegue (21512298)

Analysis of SAS, SDS, PSQI, and FertiQoL scores. by Nan Tang (642590)

Map with color coding showing the relative risk of loss at the regional level for each country in Sub-Saharan Africa. by Beatrice T. Nganso (4114768)