The Human Amygdaloid Complex: Cellular Architecture and Dopaminergic Innervation

The human amygdaloid complex (AC) is associated with the perception of fear and consequent anxiety‐related behaviors, apart from other functions ranging from attention to memory and emotion. The AC is composed of several regions with specific cytoarchitectures, chemistry, and connections that encode different aspects of fear. Detailed understanding of AC cell composition is basic to determining whether cell number alterations coincide with neurological and psychiatric pathologies associated to anxiety imbalances, as well as with changes in brain functionality during aging. Here, we describe quantitative data gathered applying stereological methods to human AC tissue; the amounts of neurons, glial and endothelial cells, as well as of various interneuron subsets that populate the AC regions were noted and compared with those collected in the AC of non‐human primates and rodents. This chapter also addresses the dopaminergic innervation of the AC, which exerts a modulatory effect over the intrinsic AC network and is critical for reward‐related learning and fear conditioning. This innervation is twice as abundant in the main output nuclei as in the principal entry nuclei of the human AC, and this irregularity may indicate functional variations between these entry and output amygdaloid territories

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Bolivia\u27s lithium possibly to be purchased and used in battery production and industry in Spain

This article discusses the Mitsubishi-GS Yuasa group\u27s plans to implement a lithium battery plant in Spain utilizing lithium resources from Bolivia

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Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2009-201

Camilo José Cela en Albany

Copia digital. Madrid : Ministerio de Educación, Cultura y Deporte. Subdirección General de Coordinación Bibliotecaria, 201

El Centro Oceanográfico de Vigo abre sus puertas a los escolares para celebrar el Día de la Acuicultura

Incluye también recordatorio nota segunda activida

Evolution and Diagnosis of Prostate Cancer with Algorithms and Artificial Intelligence

Trabajo de Fin de Grado en Ingeniería del Software, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2022/2023.En este proyecto se ha desarrollado una aplicación web que permite predecir el comportamiento y la evolución del cáncer de próstata, ayudando a seleccionar el mejor tratamiento posible a aplicar, con la ayuda de algoritmos de inteligencia artificial (IA). La aplicación utiliza modelos estadísticos de regresión lineal y algoritmos de IA aplicados sobre un histórico de pacientes con el objetivo de obtener una predicción del comportamiento del cáncer, y así encontrar el tratamiento más recomendable. La aplicación permite gestionar dos tipos de roles, médicos y pacientes. Entre las funcionalidades se encuentran la gestión usuarios y de historias clínicas, además podemos observar la evolución de los pacientes, calcular la probabilidad de tener un cáncer de próstata, y obtener en un diagrama en forma de árbol con los distintos tratamientos que puede necesitar, marcando el más adecuado a su caso.The aim of this project is the evolution and diagnosis of prostate cancer with algorithms and artificial intelligence, which has given rise to a web application that serves as a tool to obtain the evolution and treatment of patients with prostate cancer, using AI algorithms. The application is contextualized within the framework of tools with the use of Artificial Intelligence, since it makes use of statistical models of linear regression and applies AI algorithms to obtain a prediction of the evolution of cancer in the patient, and making use of the history of the patients we can obtain a result with the most appropriate treatment for this patient. For the implementation, a web application has been developed from which users will be managed, in this case Doctors, and their patients through medical histories, we can also observe in graphic form, the degree of this cancer and obtain, in the form of a tree, the most effective treatment.Depto. de Sistemas Informáticos y ComputaciónFac. de InformáticaTRUEunpu