Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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A) RT-qPCR analysis of <i>Yap</i>, <i>Taz</i>, and <i>Tead2</i> shows a significant decrease in transcript levels over postnatal stages from P0 to P28. by Heather L. Dingwall (14573796)

Path diagram of the 2-factor CFA analysis. by Vincenza Tarantino (182506)

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Factor-level. by Yining Wang (432154)

Influencing factors of APCA. by Wenping Ning (19871091)

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Results of the range analysis of each factor (H₂). by Hui Zhang (7197)

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Results of the range analysis of each factor (H₃). by Hui Zhang (7197)

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Results of the range analysis of each factor (H₁). by Hui Zhang (7197)

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Single-factor detection using Geodetector. by Yuxin Wei (11510974)

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Analysis of the Nugent score before (T=0) and after (T=1) the use of the vaginal gel. Number of participants and respective percentages of Nugent scores before and after the interv... by Adriana Bittencourt Campaner (21175462)

Properties of differential lipids that have increased and decreased abundance in the BmNPV-infected group of head samples at 96 hpi. by Min Feng (141118)

Stress concentration factor value in the numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

Weather factor dummy variable. by Zhendong Sun (4723221)

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Day factor dummy variable. by Zhendong Sun (4723221)

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Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

EGF is decreased in individual donor milk, but not pooled donor milk. by Christian Tamar (21100605)

Levels of the second-order research factor - combinations of fertilization, preparation and forecrop. by Dominika Radzikowska-Kujawska (14439076)

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Multiple Linear Regression of the Effects of Work Resources and Prior Traumatic Events on Stress Specific to COVID-19. by Rachel G. Baskin (22127334)