Comparison of the cohesion ranges of different food categories under IDDSI levels. by Muxi Chen (9294270)

Subjects:

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

Subjects:

Hardness increase across different IDDSI levels and food categories. by Muxi Chen (9294270)

Subjects:

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

Subjects:

Comparison of adhesiveness ranges for different food categories under IDDSI levels. by Muxi Chen (9294270)

Subjects:

Cohesiveness changes across IDDSI levels and food categories. by Muxi Chen (9294270)

Subjects:

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

Subjects:

Adhesiveness changes across different IDDSI levels and food categories. by Muxi Chen (9294270)

Subjects:

Statistical analysis of adhesiveness, hardness, and cohesiveness across IDDSI levels. by Muxi Chen (9294270)

Subjects:

Comparison of hardness ranges for different food categories under IDDSI levels. by Muxi Chen (9294270)

Subjects:

Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

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

“…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. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Linear regression analysis results for the effect of log-transformed urinary BPA concentrations at two time points on serum thyroid concentrations at ages 10–12. by Jung Eun Choi (563339)

Subjects:

The difference of BMD between 2019 and 2022 classify by grop of urinary camium levels measured in 2019. by Aroon La-up (14095691)

Subjects:

Prevalence of osteoporosis classified by sex, and urinary cadmium level compare between 2019 and 2022. by Aroon La-up (14095691)

Subjects:

Stratified analysis of the association between urinary cadmium and bone mineral density, by sex. by Aroon La-up (14095691)

Subjects:

Association between baseline urinary cadmium and the three-year change in bone mineral density (ΔBMD). by Aroon La-up (14095691)

Subjects:

Characteristics of the study participants for continuous variables. by Aroon La-up (14095691)

Subjects: