Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

Significant associations in GWAS. by Dai Nogimura (21445649)

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

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eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

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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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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 results of linear mixed model. by Soheila Qanbari (20455173)

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

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

Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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

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

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Predicted values of the fertility rate of women under 20 years of age according to HDI-M values, Primary Care Population coverage and information on the year of the pandemic. Brazi... by Rosa Maria Soares Madeira Domingues (2795005)

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Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

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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. …”