Data_Sheet_1_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.PDF by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_9_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_4_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.XLSX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Microbial composition of the rectal fecal samples collected from rats 10 days after MCAO/R treated with or without FMT using 16S rRNA gene sequencing analyses. by guang chen (6632402)

“…</p> <p>On the phylum level, we analyzed the components and found that the relative abundance of Proteobacteria (0.59 to 17.14%), <em>Verrucomicrobiota</em> (0.17 to 18.74%), <em>Actinobacteriota</em> (0.34 to 2.06%), Bacteroidota (0.19 to 1.16%) and <em>Desulfobacterota</em> (0.14 to 1.47%) were significantly increased after MCAO/R compared with those in the sham control rats, whilst the relative abundance of <em>Firmicutes</em> (98.51 to 59.40%) was significantly decreased in the MCAO/R group (Figure 3B). …”

Image 3_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff by Peiqin Shi (22130170)

“…The CS polarization state reflects a highly coordinated network of pro-tumor anti-tumor variables offering a simplified yet effective immune response indicator for the complex TME. …”

Intermittent fasting enhances long-term memory consolidation, adult hippocampal neurogenesis and expression of longevity gene Klotho (Microarray dataset) by Sandrine Thuret (10326662)

“…Relatively loose criteria were initially used to filter the data (to minimize analytical false negatives), but genes were required to pass these criteria for each of the four methods to be considered further (four out of four methods) to minimize analytical false positives. </p> <p>A fold change of 1.2 along with a t-test p-value of less than 0.05 was used in RMA and dChip, and a confidence of 50% or higher was used in the Drop Method. …”

Image 2_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff by Peiqin Shi (22130170)

“…The CS polarization state reflects a highly coordinated network of pro-tumor anti-tumor variables offering a simplified yet effective immune response indicator for the complex TME. …”

Image 1_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff by Peiqin Shi (22130170)

“…The CS polarization state reflects a highly coordinated network of pro-tumor anti-tumor variables offering a simplified yet effective immune response indicator for the complex TME. …”

S1 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S3 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S2 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S5 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S6 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S4 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

S7 Data - by Renjie Wang (1986553)

“…Notably, moderate (D2) and severe (D3) drought treatments led to negative GD values. GD decreased by 23.79%, 114.85%, and 175.50% for D1, D2, and D3 treatments, respectively, while reductions of 40.00%, 73.33%, and 90.00% in GD were observed compared to the control (CK). …”

Flow diagram. by Katja Linde (4169875)

“…Study limitations concern the drop-out rate of 51.4% and the retrospective and self-reported assessment of pre-pregnancy BMI. …”

Factors affecting LLINs usage at household level. by Job Oyweri (22041452)

“…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”

Net usage across intervention arms. by Job Oyweri (22041452)

“…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”

Factors associated with malaria infection. by Job Oyweri (22041452)

“…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”

Video_7_Additional Improvement of Respiratory Technique on Vascular Function in Hypertensive Postmenopausal Women Following Yoga or Stretching Video Classes: The YOGINI Study.MOV by Cláudia Fetter (9315074)

“…However, resting heart rate and PWV [baseline: Y+: 10.44 ± 3.69 and S+: 9.50 ± 0.53 m/s vs. post: Y+: 9.45 ± 0.39 (p = 0.003) and S+: 8.02 ± 0.47 m/s (p = 0.003)] decreased significantly only in the Y+ and S+ groups (baseline vs. post). …”