Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

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Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

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Illustrative diagram of the three crash types. by Chun-Chieh Chao (2681722)

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Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

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Joint effects of several variables on the three crash types. by Chun-Chieh Chao (2681722)

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Regression results of different types of talent policies. by Pu Miao (12886949)

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Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

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Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

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Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Scatter plots of the relationships between age and the proportions of cells which statistically significantly correlated with age. by Arttu Autio-Kimura (20454681)

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AI KRegression by CHIN-CHENG CHU (20718575)

S2 Fig - Transcriptome profiling of <i>L. infantum</i>-infected human macrophages reveals sex-specific type I interferon induction by Annika Bea (17686341)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Flowchart of the study sample selection process. by Chun-Chieh Chao (2681722)

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Multivariate logistic regression results. by Chun-Chieh Chao (2681722)

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Distribution of overtaking crashes according to a set of independent variables. by Chun-Chieh Chao (2681722)

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Distribution of rear-end crashes according to a set of independent variables. by Chun-Chieh Chao (2681722)

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