Relationship between <i>β</i>₁ and <i>β</i>₂ and compressive strength. by YongHe Liu (20477123)

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Lipid oxidation and protein oxidation in beef sausage containing different fats and roasted at different temperatures. by Kazeem Dauda Adeyemi (21181818)

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Porosity changes in concrete after F–T under three curing conditions. by YongHe Liu (20477123)

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Composition of beef sausage. by Kazeem Dauda Adeyemi (21181818)

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The association of cybervictimization with mental health outcomes. by Aahan Arif (20189512)

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Percentage distribution (weighted) of surveyed facilities in 2014 and 2017. by Rajon Banik (12066099)

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This file includes the data availability tables that are relevant to data curation in the systematic review. by Aahan Arif (20189512)

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Textural profile of beef sausage containing different fats and roasted at different temperature. by Kazeem Dauda Adeyemi (21181818)

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Fitting equation of material parameters <i>β</i>₁ and <i>β</i>₂ and compressive strength in Pei model. by YongHe Liu (20477123)

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Chemical composition and physicochemical properties of beef sausages containing different fats and roasted at different temperatures. by Kazeem Dauda Adeyemi (21181818)

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IRE1 depletion increases chromosome instability. by Iratxe Zuazo-Gaztelu (21071939)

Key safety measures including adverse events. by Anuja Dokras (8679261)

“…<div><p>Background</p><p>The risk-to-benefit ratio of using combined oral contraceptive pills (COCPs) and/or metformin for comprehensive management of polycystic ovary syndrome (PCOS) in women with obesity is unclear. As there is a lack of robust evidence on the impact of these first-line medications on cardiovascular disease (CVD) risk, we compared the effect of COCPs, metformin or both on prevalence of metabolic syndrome (MetS) in participants with hyperandrogenic PCOS and hypothesized that COCPs would increase prevalence of MetS while metformin would decrease prevalence of MetS.…”

(a, b). The statistical error analyses for the models using the same dataset. by Fahd Saeed Alakbari (10701871)

Coal seam combustion (a), (c) and infrared thermometry map (b), (d) in Fire Zone 1 and 3 (Republished from Desheng Xie under a CC BY license, with permission from Desheng Xie, orig... by Desheng Xie (21439869)

The restoration effect carried out in the early stage of (a) Fire Zone 1 and (b) Fire Zone 3 (Republished from Desheng Xie under a CC BY license, with permission from Desheng Xie,... by Desheng Xie (21439869)

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”