TOPOLOGICAL RISK-LANDSCAPE IN METRIC-FREE CATEGORICAL DATABASE

Topological Risk-Landscape in Metric-Free Categorical Database

The Entropy-based Categorical Exploratory Data Analysis (CEDA) paradigm is elaborately refined to algorithmically explore the intricate high-order directional associative relational patterns within the heterogeneous chronical disease dynamics captured by Behavioral Risk Factor Surveillance System (BRFSS) database.Operating on this imbalanced catego

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Discursive strategies in Lo insondable by Federico Zurita Hecht

At first glance, Loveseat the novel Lo insondable (2015) by the Chilean writer Federico Zurita Hecht presents a set of autonomous stories that would contribute to the resolution of its enigmatic central argument: the imminent destruction of the universe by activating a machine that would dissolve the contradictions of neoliberal capitalist logic in

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Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach

Distinguishing between natural and anthropic oil slicks is a challenging task, especially in the Gulf of Mexico, where these events can be simultaneously observed and recognized as seeps or spills.In this study, a powerful data analysis provided by machine learning (ML) methods was employed to develop, test, and implement a classification model (CM

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Eventful Anaesthesia: Can We Prevent It?

To ensure the utmost safety, it is recommended that prior checking the machine and breathing systems as mandatory.Certain factors beyond the control of the anaesthesiologist Tees lead to the operative room incidences jeopardizing the anaesthetised patient which otherwise cannot be prevented by prior custom checking.Delayed occlusion of a spiral rei

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