LBM-based approach using synchronous transformation with a time step of 0.43s, PNGM-based method using asynchronous transformation with a 5s time step, VGA using explicit scheme wi... by Mouad Klai (20818364)

CRISPRi knockdown of RgaR-dependent genes specifically and significantly decreases their transcript levels. by Adrianne N. Edwards (5646344)

Mean volume and mean apical surface of chick neuroepithelial cells decreases between 2 and 3 days of development. by Marina A. Ferreira (8174169)

The mean and standard deviation of parameters. by Sadaf Sepasgozar Sarkhosh (20436143)

Characteristics of patients who decreased their screen time by more than 60 minutes after the challenge. by Annaëlle Le Steunf (19838110)

Means, standard deviations and intercorrelations. by Cheri Ostroff (13868468)

Summary of demographics, clinical variables, and outcomes by different types of renal dysfunction. by Ryohei Horie (11564972)

Subjects:

Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type. by Charlotte A. Stoneham (10819125)

Service access by varying concern type. by Michelle Hirsch (206789)

Predictor variables. by Sasja Maria Pedersen (11880264)

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Permutation tests assessing the effects of predictor variables (Sex and Type site) on prey composition at the family level and evaluating the significance of RDA axes, with Site as a conditional factor. by Catarina Simões (819967)

Different steps of the fabrication process. by Md. Abu Daud (21485629)

Predictor coefficients for the model predicting OSCC relapse. by Padmanabha Kumar Govindaraj (11873391)

Subjects:

Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

Types of treatment given to SAM and non-SAM children (Developed by authors). by Masuzgo Rodney Pajogo (22339676)

The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

“…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”

SHAP beeswarm summary plot of all predictors. by Ali Golestani (4651399)

“…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”

Coding system for the Level-2 predictors. by Dongil Kim (567231)

Predictors of angler abundance on the pier. by B. Alexander Simmons (14221308)