Image 8_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

DataSheet1_Glioma-associated oncogene homolog 1 in breast invasive carcinoma: a comprehensive bioinformatic analysis and experimental validation.docx by Teng Qi (278739)

“…</p>Results<p>The findings reveal dysregulated expression of GLI1 in numerous cancers, with a significant decrease observed in BRCA. High GLI1 expression indicated better survival outcomes and was correlated with the age and stage of BRCA patients. …”

Image 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 7_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Table 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.docx by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 4_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 3_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 5_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 6_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tif by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Table 1_Disc degeneration influences the strain magnitude and stress distribution within the adjacent trabecular bone.docx by Kay A. Raftery (17080234)

Figure 1 from Gut Microbiome Profiling in Eμ-TCL1 Mice Reveals Intestinal Changes and a Dysbiotic Signature Specific to Chronic Lymphocytic Leukemia by Sydney A. Skupa (18597728)

“…<p>CLL alters gut bacterial diversity and generates a dysbiotic microbiome compared with WT. <b>A,</b> Study schematic illustrating transgenic Eμ-TCL1 and WT B6 mice were monitored with serial blood and fecal pellet sample collection over 12 months. …”

Figure 6 from Gut Microbiome Profiling in Eμ-TCL1 Mice Reveals Intestinal Changes and a Dysbiotic Signature Specific to Chronic Lymphocytic Leukemia by Sydney A. Skupa (18597728)

“…<p>Antibiotic-mediated microflora ablation delays CLL development, fostering a similar dysbiotic microbiome. <b>A,</b> WT B6 mice were randomly assigned to either receive an antibiotic cocktail (Abx) or normal drinking water (water). …”

Data Sheet 1_Endophytic and antagonistic Bacillus amyloliquefaciens 8SE-IF1-derived nanoparticles encumber phytopathogenic oomycetes, fungi, bacteria, and viruses with enhanced gro... by A. Mary Sharmila (21898730)

“…The water-diffusible extract (WDE) of Ba-8SE-IF1 significantly inhibited the mycelial growth of Pythium aphanidermatum (44.6%), Phytophthora nicotianae (60.1%), Fusarium oxysporum f. sp. lycopersici (65.5%), and Colletotrichum gloeosporioides (66.7%) in poisoned food assays; the growth of Ralstonia solanacearum and Xanthomonas campestris in the agar well method (inhibition zones of 20.25 mm and 28.52 mm, respectively); and decreased the symptoms produced by tomato spotted wilt virus (TSWV) in local lesion host (68.3%) and tomato leaf curl New Delhi virus (ToLCNDV) in tomato plants (66.1%). …”

Figure 5 from Gut Microbiome Profiling in Eμ-TCL1 Mice Reveals Intestinal Changes and a Dysbiotic Signature Specific to Chronic Lymphocytic Leukemia by Sydney A. Skupa (18597728)

“…<p>Dysbiotic microbiome is observed in the aggressive syngeneic model of CLL. <b>A,</b> Study schematic illustrating WT B6 mice were engrafted intravenously via the tail vein with 1e⁷ spleen-derived lymphocytes from a moribund Eμ-TCL1 mouse (CLL engraftment). …”

Time-limited downregulation of cerebellar neurophysiological processes in NHPs during LACV infection. by Olga A. Maximova (3115716)

“…Note: (i) pial lymphocytic infiltration (yellow arrows) appeared at 7 dpi (<b>G</b>), increased at 14 dpi (<b>H</b>), and decreased at 21 dpi (returning to the level seen at 7 dpi) (<b>I</b>); (ii) a rare focal lesion (red asterisk in H) with depleted MAP2-IR in the Purkinje cell layer (PCL), granule cell layer (GrCL) neurons, and partially in the molecular layer (ML) is spatially associated with the increased pial lymphocytic infiltration. …”

List of primers used in quantitative RT-PCR. by Tarek A. Essa (22430744)

“…The results demonstrated that NPs significantly reduced basal rot symptoms and decreased the Area Under the Disease Progress Curve (AUDPC) values. …”

Home-based strength and balance exercises for fall prevention among older individuals of advanced age: a randomized controlled single-blind study by Jian Zhou (28020)

“…The composite equilibrium score (SOTcom) for vestibular and integrated balance on the Sensory Organization Test (SOT) increased in the test group, while SOTcom decreased in the control group. In the test group, there was a significant improvement in the indexes pertaining to response time, movement speed, directional control, and endpoint offset in some directions. …”

IKKε interacts with PML and disrupts the PML nuclear bodies. by Xiaoqian Wang (460263)

The comparison of CD4⁺ count, CD4/CD8 ratio, and HIV RNA load levels. by Qinzhi Zhang (19871125)