Disease burden trends of multiple myeloma and other hematological neoplasms analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

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Projections of incidence for hematological malignancies in mainland China. by Yu Fu (16582)

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Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China. by Yu Fu (16582)

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Projections of mortality for hematological malignancies in mainland China. by Yu Fu (16582)

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Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for lymphoma, multiple myeloma, and other hematological neoplasms in mainland China. by Yu Fu (16582)

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Optimal proportion under comprehensive balance analysis (vertical "*" indicates the number of occurrences for a certain factor at a certain level, horizontal "*" denotes the degree... by Junxia Zhou (14381598)

Enrichment analysis of genes from the significant MS module. by Lai Jiang (2401513)

“…<p><b>(a)</b> Venn diagram showing the intersection of DEGs and significant module genes from WGCNA, resulting in 46 key intersection genes. …”

RTA408 significantly reduces RGCs loss in glaucoma. by Hongmei Qian (538647)

Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

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Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

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Thymus regeneration promotes naïve T-cell recovery in iMycTg aging-E mice and a partial decrease in Treg frequencies. by Abigail Morales-Sánchez (21799582)

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

Seven forecast scenarios. by Ryan P. Thombs (9138968)

“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”

Forecast for each scenario, 2023-2032. by Ryan P. Thombs (9138968)

“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”

The impact of health knowledge and obesity status on the effectiveness of a warning label. by Yulian Ding (5984591)

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA.... by Emir Matpan (21655811)

“…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …”

ABT199 inhibits ALK ^mutant kinase activity and decreases it phosphorylation. by Richard Junior Zapata Dongo (17912565)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

Sociodemographic characteristics. by Hea Ree Park (10769827)

“…Increased circadian preference for eveningness and social jet lag were noted. A significant decrease in sleep duration and sleep efficiency, along with an increased prevalence of insomnia and daytime sleepiness, was noted with age- and sex-specific variations.…”