The study design and timeline for culture treatment. by Yanru Liu (1662463)

Subjects:

Effects of cell culture patterns on injury and inflammation induced by the S1 protein. by Yanru Liu (1662463)

Subjects:

Effects of S1 protein and exposure duration on co-cultures of HPAEpics and AMs. by Yanru Liu (1662463)

Subjects:

Difference scores for body dissatisfaction and self-esteem in each group. by Eriko Takahashi (22608061)

Subjects:

Gastric cancer cases and Age-Standardized Rates in Taiwan and the Chinese mainland for 1990 and 2021. by Xiaohuang Yang (10182727)

Subjects:

Overview of the experimental procedure and task instructions in Study 2. by Eriko Takahashi (22608061)

Subjects:

A path model of two-factor self-compassion. by Eriko Takahashi (22608061)

Subjects:

Comparison of the burden of gastric cancer by age in Taiwan between 1990 and 2021. by Xiaohuang Yang (10182727)

Subjects:

A path model of six-factor self-compassion. by Eriko Takahashi (22608061)

Subjects:

Summary of correlations regarding one- and two-factor self-compassion. by Eriko Takahashi (22608061)

Subjects:

Projections of Gastric Cancer Incidence and Mortality Burden in Taiwan Through 2036. by Xiaohuang Yang (10182727)

Subjects:

A path model of one-factor self-compassion. by Eriko Takahashi (22608061)

Subjects:

Raw data and statistical analysis used in Figs 2 and 4. by Yanru Liu (1662463)

Subjects:

Sociodemographic characteristics of the participants. by Eriko Takahashi (22608061)

Subjects:

S1 Data - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

S1 Appendix - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

Estimated CDFs for the recovered cases data. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

S2 Data - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

The infected data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

The recovered data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”