Jose Jesse Ramirez

This paper presents a method for selecting Regions of Interest in brain Magnetic Resonance Imaging for diagnostic purposes, using statistical learning and vector quantization techniques. The proposed method models the distribution of GM and WM tissues grouping the voxels belonging to each tissue in ROIs associated to a specific neurological disorder. Tissue distribution of normal and abnormal images is modelled by a Self-Organizing map, generating a set of representative prototypes, and the receptive field of each SOM prototype defines a ROI. Moreover, the proposed method computes the relative importance of each ROI by means of its discriminative power. The devised method has been assessed using 818 images from the Alzheimer's disease Neuroimaging Initiative which were previously segmented through Statistical Parametric Mapping. The proposed algorithm was used over these images to parcel ROIs associated to the Alzheimer's Disease. Additionally, this method can be used to extract a reduced set of discriminative features for classification, since it compresses discriminative information contained in the brain. Voxels marked by ROIs which were computed using the proposed method, yield classification results up to 90% of accuracy for controls and Alzheimer's disease patients, and 84% of accuracy for Mild Cognitive Impairment and AD patients.

Inspired by Roland Barthes's practice of "semioclasm" in Mythologies, this book offers a "technoclasm"; a cultural critique of US narratives, discourses, images, and objects that have transformed the politics of automation into statements of fact about the "rise of the robots". Treating automation as an ensemble of technologies and science fictions, this book foregrounds automation's ideologies, exaggerations, failures, and mystifications of the social value of human labor in order to question accepted and prolific automation mythologies. Jesse Ramirez offers a study of automation that recognizes automation as a technosocial project, which uses the tools of cultural studies and history to investigate the narratives and ideologies that often implicitly frame the automation debate, and that concretely and soberly assesses the technologies that have made the headlines. The case studies featured include some of the most widely cited and celebrated automatic technologies, such as the Baxter industrial robot, the self-driving car, and the Watson AI system. An ideal resource for anyone interested in or studying emerging technology and society, automation, Marxian cultural theory, cultural studies, science fiction studies, and the cultural history of technology.

In memoriam José Arrazola Ramírez The logic $\textbf{G}^{\prime}_3$ was introduced by Osorio et al. in 2008; it is a three-valued logic, closely related to the paraconsistent logic $\textbf{CG}^{\prime}_3$ introduced by Osorio et al. in 2014. The logic $\textbf{CG}^{\prime}_3$ is defined in terms of a multi-valued semantics and has the property that each theorem in $\textbf{G}^{\prime}_3$ is a theorem in $\textbf{CG}^{\prime}_3$. Kripke-type semantics has been given to $\textbf{CG}^{\prime}_3$ in two different ways by Borja et al. in 2016. In this work, we continue the study of $\textbf{CG}^{\prime}_3$, obtaining a Hilbert-type axiomatic system and proving a soundness and completeness theorem for this logic.