Image 12_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.tiff by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Image 1_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.jpeg by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Table 3_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.docx by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Image 13_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.tiff by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Table 1_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.docx by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Image 10_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.tiff by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Image 5_No change in key HIV target cell markers following initiation of three progestin-based hormonal contraception methods: findings from the CHIME study.tiff by Marisa R. Young (7919255)

“…There were statistically significant but moderate absolute decreases in proportion of CD45+ and CD4+ T cells in CVL, and CD4+ T cells in blood, and increased proportion of CD69+ T cells in blood post-HC. …”

Data Sheet 1_Quantitative comparisons of pulmonary artery hemodynamics before and after Pulsta valve implantation in patients with Tetralogy of Fallot using computational fluid dyn... by Seung Min Baek (13994226)

“…After PPVI, the vorticity (RPA; 3.9–1.6/s, p = 0.008, LPA; 4.4–1.8/s, p = 0.011, MPA; 5.4–1.5/s, p = 0.008), and energy dissipation (104.1–38.1 mW, p = 0.028) decreased significantly, whereas changes in the Womersley and Reynolds numbers were not statistically significant. …”

Supplemental Material For Coronary Microvascular Remodeling in Pressure-Overload RV by Ilham Essafri (21688937)

“…Notably, resistance was significantly higher in male SHAM mice compared to females at baseline, and decreased in males but not in females post-PAB. …”

Video 1_Quantitative comparisons of pulmonary artery hemodynamics before and after Pulsta valve implantation in patients with Tetralogy of Fallot using computational fluid dynamics... by Seung Min Baek (13994226)

“…After PPVI, the vorticity (RPA; 3.9–1.6/s, p = 0.008, LPA; 4.4–1.8/s, p = 0.011, MPA; 5.4–1.5/s, p = 0.008), and energy dissipation (104.1–38.1 mW, p = 0.028) decreased significantly, whereas changes in the Womersley and Reynolds numbers were not statistically significant. …”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif by Ji Zhou (481629)

“…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Supplementary Material for: Association between serum albumin to creatinine ratio and readmission in elderly heart failure patients: A Retrospective Cohort Study by Guo L. (3722611)

“…Smooth curve fits were applied to examine the non-linear relationship. We employed multiple imputation and E-value sensitivity analyses to assess the robustness of our results. …”

Supplementary Material for: Long-Term Effects of Cognitive Behavioral Therapy on Sickness Absence and Cognitive Functioning in Patients with Stress-Related Disorders: Secondary Res... by figshare admin karger (2628495)

“…Results CBT and GHP had comparable effects on SA and cognitive functioning with no significant between-group effects (all p > .05). Analyzing effects across the entire sample, the number of SA days among those with any SA did not significantly change (p = .946) but the likelihood of having any SA decreased significantly by the 1YFU (OR = .92, 95% CI [.87, .96], p < .001). …”

Spato-temporal changes in land use types. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Data Sheet 1_The association between lipid accumulation product and osteoporosis in American adults: analysis from NHANES dataset.docx by Huawen Pan (20899496)

“…</p>Results<p>LAP and osteoporosis were shown to be significantly inversely correlated in the study. In the unadjusted model, the prevalence of osteoporosis and Log LAP showed a significant negative connection (OR = 0.62, 95% CI = 0.52–0.74). …”

Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”