Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

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

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

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

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Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

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

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

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The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Comparison of measured and predicted values of empirical model prediction. by Hongqi Wang (2208238)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Model prediction error analysis. by Hongqi Wang (2208238)

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Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Empirical model prediction error analysis. by Hongqi Wang (2208238)

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Model prediction error trend chart. by Hongqi Wang (2208238)

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Model prediction error analysis index. by Hongqi Wang (2208238)

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Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

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Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)