Search results for "Lengua"
showing 10 items of 808 documents
Simulating the impact of non-pharmaceutical interventions limiting transmission in COVID-19 epidemics using a membrane computing model
2021
Epidemics caused by microbial organisms are part of the natural phenomena of increasing biological complexity. The heterogeneity and constant variability of hosts, in terms of age, immunological status, family structure, lifestyle, work activities, social and leisure habits, daily division of time and other demographic characteristics make it extremely difficult to predict the evolution of epidemics. Such prediction is, however, critical for implementing intervention measures in due time and with appropriate intensity. General conclusions should be precluded, given that local parameters dominate the flow of local epidemics. Membrane computing models allows us to reproduce the objects (virus…
Las dificultades para la educación integradora desde la perspectiva de futuros maestros de inglés
2009
This article presents and analyses the findings of a qualitative study about the perceptions expressed by prospective primary teachers of English about integration and response to special educational needs in the mainstream. The analysis of the data, obtained in the course of the practice teaching period of their course, evidences their ideas on integrative education; besides, a frequent lack of experiences of genuine integrative practices in such a critical period of professional preparation is identified. El presente artículo presenta y analiza los hallazgos de un estudio de naturaleza cualitativa sobre las percepciones que expresan futuros maestros especialistas de inglés en el transcurs…
Distance Learning for Social Distancing through LMOOCs: From Local to Massive and Back
2022
This chapter discusses the first step of the adaptation of a Language Massive Open Online Course (LMOOC) offered on EdX4 to be used in higher education contexts as a result of social distancing measures imposed by the COVID19 outbreak and the sudden pivot to online learning. The LMOOC contents recently underwent a process of redesign and conversion from small-scale to massive and now the opposite move is necessary: the LMOOC is to go local by becoming embedded in English classes in higher education contexts. Participants’ feedback was analyzed and compared with the criteria from a MOOC analysis matrix in terms of content variety, quality of contents and instructors, linguistic level and ade…
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
2017
[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration algorithms. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element (FE) method. Three machine learning models were trained with the data from those simulations. Then, they were used to predict in real-time the deformation of the breast tissues during the compression. The models were a decision tree and two tree-based ensemble methods (extremely…
pBrain: A novel pipeline for Parkinson related brain structure segmentation
2020
[EN] Parkinson is a very prevalent neurodegenerative disease impacting the life of millions of people worldwide. Although its cause remains unknown, its functional and structural analysis is fundamental to advance in the search of a cure or symptomatic treatment. The automatic segmentation of deep brain structures related to Parkinson's disease could be beneficial for the follow up and treatment planning. Unfortunately, there is not broadly available segmentation software to automatically measure Parkinson related structures. In this paper, we present a novel pipeline to segment three deep brain structures related to Parkinson's disease (substantia nigra, subthalamic nucleus and red nucleus…
A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring i…
2014
Keratoconus (KC) is the most common type of corneal ectasia. A corneal transplantation was the treatment of choice until the last decade. However, intra-corneal ring implantation has become more and more common, and it is commonly used to treat KC thus avoiding a corneal transplantation. This work proposes a new approach based on Machine Learning to predict the vision gain of KC patients after ring implantation. That vision gain is assessed by means of the corneal curvature and the astigmatism. Different models were proposed; the best results were achieved by an artificial neural network based on the Multilayer Perceptron. The error provided by the best model was 0.97D of corneal curvature …
Letter to editor: support to the spanish language, from Oral Medicine
2017
Odontogenic myxoma (OM) is a benign intraosseous neoplasm that exhibits local aggressiveness and high recurrence rates. Osteoclastogenesis is an important phenomenon in the tumor growth of maxillary neoplasms. RANK (Receptor Activator of Nuclear Factor κappa B) is the signaling receptor of RANK-L (Receptor activator of nuclear factor kappa-Β ligand) that activates the osteoclasts. OPG (osteoprotegerin) is a decoy receptor for RANK-L that inhibits pro-osteoclastogenesis. The RANK / RANKL / OPG system participates in the regulation of osteolytic activity under normal conditions, and its alteration has been associated with greater bone destruction, and also with tumor growth.To analyze the imm…
Test MetAphAs. Metalinguagem na Avaliação da Afasia
2020
Test MetAphAs. Metalinguagem na Avaliação da Afasia (Rosell-Clari & Hernández-Sacristán, 2020) es una versión adaptada al portugués y abreviada de Rosell Clari & Hernández Sacristán, 2014). Esta prueba fue desarrollada inicialmente para evaluar las habilidades metalingüísticas naturales en personas con afasia (Hernández-Sacristán, Rosell-Clari, Serra-Alegre y Quiles-Climent, 2012). Las habilidades metalingüísticas naturales se refieren al uso del lenguaje que revela reflexividad (Hockett, 1960); es decir, la distancia perceptiva del hablante con respecto a su propio comportamiento verbal (Werner & Kaplan, 1978). Esta autoconciencia del lenguaje nos permite monitorear nuestros propios compor…
Nuevas terminaciones para nuevas realidades: performatividad, afiliación y atenuación en la comunidad de habla LGTBI
2021
Este artículo presenta un estudio sobre las terminaciones -i/-is y -e/-es en la comunidad de habla LGTBI. La motivación de esta investigación viene de la representación del género no binario en la lengua española, marcado recientemente por las terminaciones en -e, que además es utilizado para crear un plural inclusivo que evite el masculino genérico. En la misma línea, se han detectado usos, dentro de la comunidad de habla LGTBI, de otro grupo de terminaciones (-i/-is) que parecen anular la distinción de género. Los datos han sido extraídos de una encuesta sociolingüística elaborada por el autor de este trabajo. En la parte sociolingüística se pretende perfilar el tipo de usuario de estas t…
El encuentro de Alejandro Magno con las Amazonas y sus fuentes
2014
El episodio del encuentro de Alejandro Magno con las Amazonas aparece en casi todas las fuentes del emperador macedonio, incluso en los autores que no le dan credibilidad. Este trabajo repasa el tratamiento del episodio en las mencionadas fuentes, entre las cuales no le dan credibilidad Plutarco, Arriano y Estrabón, frente a la llamada Vulgata de Alejandro procedente de Clitarco, que incluye el griego Diodoro de Sicilia y los latinos Curcio y Justino. También aparece el episodio en época posterior en el historiador cristiano Paulo Orosio, así como en la Novela de Alejandro del Pseudo-Calístenes y sus dos traducciones al latín de Julio Valerio y del arcipreste León de Nápoles, ya en la Edad …