Crude and type-specific incidence rates (A), all-cause mortality rates (B), and prevalence rates (C) of liver cancer per 100,000 over 2014–2023. by Ayana Ablayeva (22103708)

Crude and residence-specific incidence rates (A), all-cause mortality rates (B), and prevalence rates (C) of liver cancer per 100,000 over 2014–2023. by Ayana Ablayeva (22103708)

Comparison of rank correlation analysis results across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10. by Roman Vavrek (13200141)

Data Sheet 1_Cytotoxic CD4+ T-follicular cells may mediate killing against lymphoma cells.pdf by Yin Xiao (447102)

“…In this study, we aim to elucidate their presence and functional relevance in two different lymphoma subtypes, follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL). Flow cytometric analysis of tonsillar versus FL-cell suspensions revealed a heightened number of GZMK⁺NKG7/TIA-1⁺ T_F_K cells in the latter, accompanied by a significant increase in T-regulatory and T-follicular regulatory (T_FR) cells. …”

Age-adjusted annual percent changes (APC) in incidence (A), mortality (B), and prevalence (C) rates per 100,000 over 2014–2023 for both sexes and sex-specific. by Ayana Ablayeva (22103708)

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

Comparison of agreement in the order based on the SD-TOPSIS technique across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10. by Roman Vavrek (13200141)

GS-1: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. Discrepancies occur in areas the Czech Republic and SE Germany. by Isabell Schmidt (6331013)

Factor associated with body fat mass loss^b'*' in both periods of inpatient treatment. by Domingos L. S. Rios (20496173)

Frequencies of IgM⁺ B cells, myeloid cells and CD8⁺ T cells of control and exposed brown trout in Wild, Wild:Farm and Farm groups. by Helena Saura Martinez (22305113)

Relative Index of Inequality (RII) and 95% Confidence Interval (CI) for access question between most a least deprived SIMD decile by A) Age and sex B) Number of Health Issues and c... by David Henderson (4612354)

Relative Index of Inequality (RII) and 95% Confidence Interval (CI) for overall satisfaction between most a least deprived SIMD decile by A) Age and sex B) Number of Health Issues... by David Henderson (4612354)

DataSheet1_Adverse childhood experiences, brain function, and psychiatric diagnoses in a large adult clinical cohort.pdf by David B. Keator (19842939)

Comparison of the regressor within the regression model of SD-TOPSIS technique results across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10. by Roman Vavrek (13200141)

Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”