Definitions of the key terms used in this study. by Eriko Takahashi (22608061)

“…Participants (N = 577, mean age = 25.1 years, SD = 5.1) were recruited from an online community. A comparison of self-compassion models indicated that both one-factor and two-factor structures were valid, with the one-factor model and the negative component of the two-factor model significantly predicting well-being and appearance schemas, which in turn predicted body image concerns and abnormal eating behaviors. …”

LED modules installations on Chinese saury fishing vessels on-site. by Fei Li (143236)

Fig 3 - by Andrés Felipe Ramírez González (19797070)

Reason for exclusion of all 6514 screened articles. by Solima Sabeel (9545738)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Regression models of COVID-19-related racial discrimination and depression symptoms among the full sample. by Ronna Bañada (19233063)

Regression models of COVID-19-related racial discrimination and anxiety symptoms among the full sample. by Ronna Bañada (19233063)

Distribution of cases and adverse events associated with metformin. by Mengsi Peng (12882734)

Daily behavior of three variables during cocoa fermentation in three processing plants in the department of Caquetá. by Andrés Felipe Ramírez González (19797070)

Methodological items for non-randomized studies (MINORS). by Solima Sabeel (9545738)

Jadad Score of randomized controlled trials. by Solima Sabeel (9545738)

Version 2 of the Cochrane risk-of-bias tool for randomized controlled trials. by Solima Sabeel (9545738)

Analysis of randomized controlled trials stratified based on treatment duration. by Solima Sabeel (9545738)

PRISMA flow diagram of the systematic literature search process. by Solima Sabeel (9545738)

Excluded skewed studies. by Solima Sabeel (9545738)

Summary of randomized controlled trials. by Solima Sabeel (9545738)

Summary of non-randomized studies. by Solima Sabeel (9545738)

Summary table showing analysis of randomized controlled trials stratified based on age groups. by Solima Sabeel (9545738)

Data Sheet 1_Prognostic impact of dynamic changes of type I melanoma antigen gene proteins CT7 (MAGE-C1/CT7) transcripts in multiple myeloma.docx by Xuelin Dou (10938549)

“…Our data showed the predictive value of peri-ASCT frontline treatment. A 2-log decrease of MAGE-C1/CT7 post-induction cycle 2 compared to baseline correlated with a negative peri-ASCT MAGE-C1/CT7 status, providing an earlier prognostic marker of treatment response.…”