Multiple platforms use by working from home: Decreased alcohol use (%). by Karen G. Chartier (11714643)

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Seasonal patterns in records. by Sarah Raymond (11529759)

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Heat map of <i>S</i>. <i>carpocapsae</i> statistically significant proteins. by Peter E. Lillis (12368582)

Analysis of Similarity (ANOSIM) findings. by Saja A. Fakhraldeen (14929812)

“…Results showed an approximately even abundance of both archaeal (42.9%) and bacterial (57.1%) communities, but significantly greater diversity among the bacterial population, which predominantly consisted of members of the Proteobacteria, Cyanobacteria, and Bacteroidetes phyla in decreasing order of abundance. …”

Core microbiome analysis (family-level). by Saja A. Fakhraldeen (14929812)

“…Results showed an approximately even abundance of both archaeal (42.9%) and bacterial (57.1%) communities, but significantly greater diversity among the bacterial population, which predominantly consisted of members of the Proteobacteria, Cyanobacteria, and Bacteroidetes phyla in decreasing order of abundance. …”

Core microbiome analysis (genus-level). by Saja A. Fakhraldeen (14929812)

“…Results showed an approximately even abundance of both archaeal (42.9%) and bacterial (57.1%) communities, but significantly greater diversity among the bacterial population, which predominantly consisted of members of the Proteobacteria, Cyanobacteria, and Bacteroidetes phyla in decreasing order of abundance. …”

Core microbiome analysis (species-level). by Saja A. Fakhraldeen (14929812)

“…Results showed an approximately even abundance of both archaeal (42.9%) and bacterial (57.1%) communities, but significantly greater diversity among the bacterial population, which predominantly consisted of members of the Proteobacteria, Cyanobacteria, and Bacteroidetes phyla in decreasing order of abundance. …”

Forest plot for overall mortality (meta-analysis). by Vincent Issac Lau (12936546)

Disease burden trends of leukemia and lymphoma analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

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

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The raw data used in this study. by Yu Fu (16582)

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Interaction effect on overall average of TUs. by Fuxiang Wang (8316573)

“…However, ST translation difficulty significantly influenced TU processing. For the more difficult text, the APTU size decreased notably, the number of 1–6-word PTUs increased substantially, and the frequency of ≥ 7-word PTUs remained relatively stable. …”

Correlation matrix of liver weight and metabolites identified as most significant in distinguishing the 2 liver weight group. by Bara Lo (10133624)

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Risk of cancers according to insomnia in the overall study population. by Kichul Yoon (3073767)

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a: Percentage distribution of unmet need for family planning by background characteristics of currently married women (15–49) Nigeria DHS 2008–2018. by Funmilola Folasade Oyinlola (19321601)

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Trends in the prevalence of unmet need for family planning in Nigeria. by Funmilola Folasade Oyinlola (19321601)

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Revised definition of unmet need for spacing and limiting. by Funmilola Folasade Oyinlola (19321601)

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Sociodemographic characteristics of currently married women (15–49) and prevalence of unmet need for family planning, Nigeria DHS 2008–2018. by Funmilola Folasade Oyinlola (19321601)

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