Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-t... by Emir Matpan (21655811)

Linear Mixed-Effects Model analysis of bone mineral density changes in relation to urinary cadmium levels in a 3-Year Period. by Aroon La-up (14095691)

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

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

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

A slight negative trend in the relationship between U-Cd levels and BMD in both 2019 and 2022, as evident from the slightly downward-sloping regression lines in both years. However... by Aroon La-up (14095691)

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. by Aroon La-up (14095691)

Multiple linear regression analysis results. by Muxi Chen (9294270)

“…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”

Structure of a trial. by Marcel F. Hinss (14675457)

“…While learning effects may have negated the impact of mental fatigue across the 5 experimental blocks, a significant decrease in performance was observed within blocks. …”

Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... by Teagan McMahon (20108036)

Data. by Aroon La-up (14095691)

“…This study found a statistically significant decrease in BMD in the group with the lowest U-Cd levels (<2.0 μg/g creatinine, p = 0.001) and in the overall sample (from 0.392 ± 0.079 μg/g creatinine in 2019 to 0.384 ± 0.094 μg/g creatinine in 2022, p = 0.004). …”

Schema of the experimental procedure. by Marcel F. Hinss (14675457)

“…While learning effects may have negated the impact of mental fatigue across the 5 experimental blocks, a significant decrease in performance was observed within blocks. …”

Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

Subgroup analysis of AIP and depression. by Siyi Deng (12887198)

“…When AIP > 0.60, premenopausal women had an increased risk of depression, while postmenopausal women had a decreased risk of depression.</p><p>Conclusions</p><p>This study demonstrates that elevated AIP levels are significantly associated with an increased risk of depression in both premenopausal and postmenopausal women. …”

Relationships between hardness and IDDSI levels. by Muxi Chen (9294270)

“…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”

COVID19 effect on essential services. by Admas Abera (11821659)

“…The difference in the trends of services before and during COVID-19 was compared using linear-by-linear tests and the difference of magnitude across the indicators was compared using Autoregressive Integrated Moving Average (ARIMA) interrupted time series analysis at a 5% significance level.…”

Structure diagram of ensemble model. by Hongqi Wang (2208238)

“…We systematically investigate the impact of water content, dry density, and freeze-thaw cycles (with a freezing temperature set at -10°C) on the thermal conductivity of stabilized soil, a crucial parameter for analyzing soil temperature fields that is influenced by numerous factors. …”