Regression model coefficients. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Data Sheet 6_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 2_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 7_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 5_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 4_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 3_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 8_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 1_Effects of aging on otolith morphology and functions in mice.docx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Image 2_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Image 1_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Table 1_Body mass index influences Antimüllerian Hormone and inhibin B in adult males.xls by Wen Zhou (49050)

“…However, due to the low effect size of BMI/AMH, caution is needed in interpreting its clinical significance. Although we found a non-linear relationship and key thresholds between these variables, further studies with larger sample sizes are needed to confirm these findings.…”

Prevalence of CSF biomarkers across age. by Sarah J. Neal (20721301)

Theoretical framework. by Dinku Mechal (21273002)

“…Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”

Supplementary file survey questioner annex. by Dinku Mechal (21273002)

“…Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”

Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”