Two Microsoft excel spreadsheets containing the raw data of the study have been added as supporting information. by C. Vijay Reena Durai (14498259)

Subjects:

Representation of better of the two eyes’ monocular FMTs and binocular FMTs. by C. Vijay Reena Durai (14498259)

Subjects:

Fig 7 - by C. Vijay Reena Durai (14498259)

Subjects:

S1 File - by C. Vijay Reena Durai (14498259)

Subjects:

Representation of better of the two eyes’ monocular FMTs and binocular FMTs. by C. Vijay Reena Durai (14498259)

Subjects:

Fig 1 - by C. Vijay Reena Durai (14498259)

Subjects:

Eye and head movements during head-impulses: representative subject (A) and subject triggering covert saccades (B). by Cecilia Ramaioli (647462)

“…Reading ability was intact in spite of a decreased VOR (head-impulse gain 0.59±0.03; HITD-FT rate of correct answers 93%). …”

Number of food items identified measure by a single 24 hour dietary recall for LP analyses, by district and age group. by Umi Fahmida (10007846)

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Presentation_1_Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation.pdf by Rafael Wilms (8858795)

Mean seedling length of mung bean genotypes grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean total protein contents of mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean values for GPX activity in mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean relative water content of mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Patterns of lifetime use of substances by gender. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

S1 Data - by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”