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)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

The cytoplasmic leaflet of the TGN in the Neo1p-depleted <i>cfs1</i>Δ <i>erd1</i>Δ mutant contains PS and decreased level of PI4P. by Mamoru Miyasaka (9187916)

Responses to asynchronous pulses of the control, LN, NSI and mix model, similar to Fig 8 but for a short synaptic time scale <i>τ</i>_<i>LN</i> = 25<i>ms</i>. by Mario Pannunzi (553941)

Summary of mean FB ratio distribution across racial groups. by Zoë Dinkel (21402766)

Multivariable logistic regression model with age-related macular degeneration as an outcome variable and age and femur T-score as independent variables in women and men. by Agnieszka Budnik (17241045)

Subjects:

Multivariable logistic regression model with age-related macular degeneration as an outcome variable and age and femoral BMD as independent variables in women and men. by Agnieszka Budnik (17241045)

Subjects:

Univariate logistic regression models with age-related macular degeneration as an outcome variable in women and men. by Agnieszka Budnik (17241045)

Subjects:

Demographic, clinical, and densitometric characteristics of study participants. by Agnieszka Budnik (17241045)

Subjects:

The relationship between T-Score (Cutoff, −1.0) for femoral BMD and the occurrence of age-related macular degeneration in women and men. by Agnieszka Budnik (17241045)

Subjects:

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. …”

Flowchart of population spatialization. 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. …”

Group mean values and standard deviation of the normalized maximal torques (NMT) in the knee extensors (KE), the hip abductors (AB), and the hip adductors (AD) as well as for the r... by Franziska Daun (6433328)

Fluid loss and hydration in CON (n = 22) and HOT (n = 17) surgeries; Decrease in body mass in kg (A), decrease in body mass in % of total body mass (B), rate of decrease in body ma... by Zehra Palejwala (7507409)