Fracture ratio versus initial water content. by Liangchun Xu (21781958)

“…The test results showed that, firstly, the absolute expansion and absolute shrinkage of cement-stabilized phosphogypsum materials increased with the increase of compaction, cement dosage and the number of wet and dry cycles, and decreased with the increase of initial water content and the dosage of phosphogypsum; Secondly, the fracture rate of cement-stabilized phosphogypsum materials increased with cement dosage and the number of wet and dry cycles; and decreased with compaction, initial moisture content, and phosphogypsum dosage; Thirdly, the relationship between the absolute expansion or shrinkage of cement-stabilized phosphogypsum materials and the compaction degree and the fracture rate is not a simple linear relationship, but is affected by a combination of factors, showing nonlinear characteristics, which can be fitted by the nonlinear binary quadratic equation f(x,y) =ax²+bx+cy²+dy+e. …”

Fracture ratio versus compaction degree. by Liangchun Xu (21781958)

“…The test results showed that, firstly, the absolute expansion and absolute shrinkage of cement-stabilized phosphogypsum materials increased with the increase of compaction, cement dosage and the number of wet and dry cycles, and decreased with the increase of initial water content and the dosage of phosphogypsum; Secondly, the fracture rate of cement-stabilized phosphogypsum materials increased with cement dosage and the number of wet and dry cycles; and decreased with compaction, initial moisture content, and phosphogypsum dosage; Thirdly, the relationship between the absolute expansion or shrinkage of cement-stabilized phosphogypsum materials and the compaction degree and the fracture rate is not a simple linear relationship, but is affected by a combination of factors, showing nonlinear characteristics, which can be fitted by the nonlinear binary quadratic equation f(x,y) =ax²+bx+cy²+dy+e. …”

Absolute shrinkage rate fitting results. by Liangchun Xu (21781958)

“…The test results showed that, firstly, the absolute expansion and absolute shrinkage of cement-stabilized phosphogypsum materials increased with the increase of compaction, cement dosage and the number of wet and dry cycles, and decreased with the increase of initial water content and the dosage of phosphogypsum; Secondly, the fracture rate of cement-stabilized phosphogypsum materials increased with cement dosage and the number of wet and dry cycles; and decreased with compaction, initial moisture content, and phosphogypsum dosage; Thirdly, the relationship between the absolute expansion or shrinkage of cement-stabilized phosphogypsum materials and the compaction degree and the fracture rate is not a simple linear relationship, but is affected by a combination of factors, showing nonlinear characteristics, which can be fitted by the nonlinear binary quadratic equation f(x,y) =ax²+bx+cy²+dy+e. …”

Schematic diagram of the wet/dry cycle process. by Liangchun Xu (21781958)

“…The test results showed that, firstly, the absolute expansion and absolute shrinkage of cement-stabilized phosphogypsum materials increased with the increase of compaction, cement dosage and the number of wet and dry cycles, and decreased with the increase of initial water content and the dosage of phosphogypsum; Secondly, the fracture rate of cement-stabilized phosphogypsum materials increased with cement dosage and the number of wet and dry cycles; and decreased with compaction, initial moisture content, and phosphogypsum dosage; Thirdly, the relationship between the absolute expansion or shrinkage of cement-stabilized phosphogypsum materials and the compaction degree and the fracture rate is not a simple linear relationship, but is affected by a combination of factors, showing nonlinear characteristics, which can be fitted by the nonlinear binary quadratic equation f(x,y) =ax²+bx+cy²+dy+e. …”

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The IOP and GMS values were based on a subset of 72 eyes with 12-months of complete follow-up data. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The IOP and GMS values were based on a subset of 72 eyes with 12-months of complete follow-up data. …”

Effect of high percentage spliced in <i>TTN</i> truncating variant on minimum left ventricular ejection fraction reduction stratified by genetic similarity to 1000 Genomes Project... by John DePaolo (17290776)

“…<p>(A) Linear regression analysis of the association between hiPSI TTNtvs on risk of decreased minimum LVEF stratified by genetic similarity to the EUR and AFR reference populations with heterogeneity statistics included. …”

BMI groups by SES. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Diagram of study population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Data Sheet 1_A multi-strain human skin microbiome model provides a testbed for disease modeling.docx by Angela L. Maloney (20670518)

“…Skin cells formed a complex tissue structure over two weeks and maintained stable or increasing TEER after 7 days of co-culture with the microbial consortium. …”

Effect of 1.25% of SCFP on MDR <i>Salmonella</i> serovars reduction at 24h. by Elena G. Olson (10649705)

Proxy FC provides limited explanatory power in understanding empirical FC patterns. by Michael Forrester (6165878)

“…FC proxies are computed via iterative linear combination of increasingly many eigenmode FC patterns, with accuracy measured after each subsequent addition; specifically: structural eigenvectors added at random (blue), according to the decreasing size of the corresponding eigenvalue (red), in an order chosen for which the step-wise decrease in error is maximised (orange); and eigenmodes of the network Jacobian, in order of decreasing size of the corresponding eigenvalue (purple). …”