Introducing probabilistic celular automata. A versatile extension of Game of Live

The "Game of life" model was created in 1970 by the mathematician Jonh Horton Conway using cellular automata. Since then, di erent extensions of these cellular automata have been used in many applications, such as car traffic control or baggage traffic in an airport. These extensions introduce ideas not only from cellular automata models but also from neural networks theory. In this work, we introduce probabilistic cellular automata which include non-deterministic rules for transitions between successive generations of the automaton together with probabilistic decisions about life and death of the cells in next generation of the automaton. This way, more realistic situations can be modeled and the obtained results are also non-deterministic. As an example of use, an implementation of this probabilistic cellular automaton has been developed using it for simulating tissues evolution. The authors are specially interested in simulations of cancerous tissues.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A fast functional approach to personalized menus generation using set operations

The authors developed some time ago a RBES devoted to preparing personalized menus at restaurants according to the allergies, religious constraints, likes and other diet requirements as well as products availability. A first version was presented at the "Applications of Computer Algebra 2015" (ACA'2015) conference and an improved version to the "5th European Seminar on Computing" (ESCO2016). Preparing personalized menus can be specially important when traveling abroad and facing unknown dishes in a menu. Some restaurants include icons in their menu regarding their adequateness for celiacs or vegetarians and vegans, but this is not always a complete information, as it doesn't consider, for instance, personal dislikes or uncommon allergies. The tool previously developed can obtain, using logic deduction, a personalized menu for each customer, according to the precise recipes of the restaurant and taking into account the data given by the customer and the ingredients out of stock (if any). Now a new approach has been followed, using functions and set operations and the speed has been increased by three orders of magnitude, allowing to deal with huge menus instantly. Both approaches have been implemented on the computer algebra system Maple and are exemplified using the same recipes in order to compare their performances.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Computer Algebra-based RBES personalized menu generator

People have many constraints concerning the food they eat. These constraints can be based on religious believes, be due to food allergies or to illnesses, or can be derived just from personal preferences. Therefore, preparing menus at hospitals and restaurants can be really complex. Another special situation arise when travel- ing abroad. It is not always enough to know the brief description in the restaurant menu or the explanation of the waiter. For example, “calamares en su tinta” (squid in its own ink) is a delicious typical Spanish dish, not well-known abroad. Its brief description would be “squid with boiled rice in its own (black) ink”. But an in- gredient (included in a small amount, in order to thicken the sauce) is flour, a fact very important for someone suffering from celiac disease. Therefore, we have con- sidered that it would be very interesting to develop a Rule Based Expert System (RBES) to address these problems. The rules derive directly from the recipes and contain the information about required ingredients and names of the dishes. We distinguish: ingredients and ways of cooking, intermediate products (like “mayon- naise”, that doesn’t always appear explicitly in the restaurants’ menus) and final products (like “seafood cocktail”, that are the dishes listed in the restaurant menu). For each customer at a certain moment, the input to the system are: on one hand, the stock of ingredients at that moment, and on the other, the religion, allergies and restrictions due to illnesses or personal preferences of the customer. The RBES then constructs a “personalized restaurant menu” using set operations and knowl- edge extraction (thanks to an algebraic Groebner bases-based inference engine[1]). The RBES has been implemented in the computer algebra system Maple TM 18(us-ing its convenient Embedded Components) and can be run from computers and tablets using Maple TM or the Maple TM PlayerUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A RBES for Generating Automatically Personalized Menus

Food bought at supermarkets in, for instance, North America or the European Union, give comprehensive information about ingredients and allergens. Meanwhile, the menus of restaurants are usually incomplete and cannot be normally completed by the waiter. This is specially important when traveling to countries with a di erent culture. A curious example is "calamares en su tinta" (squid in its own ink), a common dish in Spain. Its brief description would be "squid with boiled rice in its own (black) ink", but an ingredient of its sauce is flour, a fact very important for celiacs. There are constraints based on religious believes, due to food allergies or to illnesses, while others just derive from personal preferences. Another complicated situation arise in hospitals, where the doctors' nutritional recommendations have to be added to the patient's usual constraints. We have therefore designed and developed a Rule Based Expert System (RBES) that can address these problems. The rules derive directly from the recipes of the di fferent dishes and contain the information about the required ingredients and ways of cooking. In fact, we distinguish: ingredients and ways of cooking, intermediate products (like sauces, that aren't always made explicit) and final products (the dishes listed in the menu of the restaurant). For a certain restaurant, customer and instant, the input to the RBES are: actualized stock of ingredients and personal characteristics of that customer. The RBES then prepares a "personalized menu" using set operations and knowledge extraction (thanks to an algebraic inference engine [1]). The RBES has been implemented in the computer algebra system MapleTM2015. A rst version of this work was presented at "Applications of Computer Algebra 2015" (ACA'2015) conference. The corresponding abstract is available at [2].Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Communicating in 140 Characters. How Journalists in Spain use Twitter = Comunicar en 140 caracteres. Cómo usan Twitter los comunicadores en España

The emergence of Twitter appears to be changing information practices. Hence, a great deal of recent research is based on its popularity among communicators, reaching the conclusion that it serves to increase interactivity with readers. But to what degree is it true that it contributes to a type of journalism which is more open to the public? This research aims especially to clarify two main questions: what specific uses do journalists make of Twitter and to what extent does twoway interaction with the public take place through this medium? It is based on the quantitative analysis of a sample comprising almost 5 million tweets posted by 1,504 Spanish media communicators, perhaps the largest sample studied so far. The analysis shows the existence of a twospeed Twitter (with a minority of influential communicators and a majority who have little impact), which has negligible interaction with followers. With few exceptions, the communicators establish endogamous relationships on Twitter. They respond to mention and retweet colleagues, failing to take advantage of the multidirectional potential offered by the platform. This research expands the empirical basis which can be used to consider and discuss the scope and limits of user participation in information events. Many authors have theorized on this subject, perhaps too enthusiastically and arguably from a somewhat utopian perspective

Reducciones totales y parciales para el análisis de validez y construcción de modelos en M3

Esta tesis estudia la demostración automática de teoremas en lógicas trivaluadas. Concretamente se presenta un demostrador denominado tas-m3 para la lógica trivaluada completa m3. Esta tesis cuenta con una orientación a las aplicaciones y es de gran importancia la forma en la que se genera el modelo para la negación de la formula de entrada. Es un método que no está basado en resolución y por tanto no adolece de las deficiencias de este método(poca interacción con el ser humano, dificultad de obtener formas normales en lógicas no clásicas, etc.). Además de la demostración de corrección y completitud del método se demuestran otros teoremas relacionados con los procesos. El trabajo se complementa con un estudio comparativo con los métodos actualmente más utilizados. También se añaden capítulos en los que se introducen los conceptos que se utilizan a lo largo del trabajo así como un capítulo dedicado a las lógicas multivaluadas. Se añade un apéndice en el que se resume el demostrador para la lógica clásica TAS-D al que se le incorporan las mejoras que el estudio del caso multivaluado ha motivado. En la exposición y defensa se utiliza una implementación del método para entornos gráficos realizada en C++

New rules for improving CAS capabilities when computing improper integrals. Applications in Math Education

In many Engineering applications the computation of improper integrals is a need. In [1] we pointed out the lack of some CAS when computing some types of improper integrals. Even more, the work developed showed that some improper integrals can not be computed with CAS using their build-in procedures. In this talk we will develop new rules to improve CAS capabilities in order to compute new improper integrals We will show some examples of improper integrals that CAS asMATHEMATICA, MAPLE, DERIVE or MAXIMA can not compute. Using advance techniques as Laplace and Fourier transforms or Residue Theorem in Complex Analysis, we will be able to develop new rules schemes for these improper integrals. We will also describe the conclusions obtained after using these new rules with our Engineering students when teaching Advanced Calculus. [1] José L.Galán-García, Gabriel Aguilera-Venegas, María Á. Galán-García, Pedro Rodríguez-Cielos, Iván Atencia-Mc.Killop. Improving CAS capabilities: New rules for computing improper integrals. Applied Mathematics and Computation. Volume 316, 1 January 2018, Pages 525-540.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Narrativas de consumo de bebidas alcohólicas y psicofármacos tranquilizantes en mujeres y varones mayores

Tesis Maestría en Psicología y ClínicaEl uso de bebidas alcohólicas y de tranquilizantes benzodiacepínicos está ampliamente extendido en la sociedad uruguaya, constituyendo, respectivamente, la primera y tercera droga psicoactiva de consumo más prevalente en el país; si bien no hay datos específicos para la categoría de edad denominada como Personas Mayores –antes referida como Personas Adultas Mayores, Tercera Edad, etc. –, sí existen indicios de que la frecuencia y tipo de consumo varía a partir de los 55 años de edad, aumentando la prevalencia del consumo crónico con singularidades según el sexo/género de la persona consumidora. Esta investigación de corte cualitativo se propuso como objetivo general explorar narrativas sobre el consumo de estas sustancias en Personas Mayores, a través de la construcción de Narrativas Patchwork y el análisis temático de contenido de entrevistas semiestructuradas realizadas a personas de 60 o más años de edad, consumidoras/es de estas sustancias, y residentes en Uruguay. Este estudio permitió abordar un campo de problemas relativamente inexplorado en el contexto de nuestro país, contribuyendo así a explorar trayectorias vitales y subjetivas, y el contexto, dinámicas y prácticas del uso de bebidas alcohólicas y tranquilizantes benzodiacepínicos en mujeres y varones mayores, integrando a la categoría Género como analizador. La aproximación al objeto de estudio habilitó la creación de un campo de observación asociado a la problemática del consumo de sustancias, envejecimiento, y género, identificando diversos emergentes que plantean interrogantes sobre la función de utilidad del consumo en relación a los modos en que se subjetivan y se intentan resolver los malestares asociados a la vejez y el envejecimiento de mujeres y varones

Formulacion de preguntas escritas por alumnos como instrumento de evaluacion

43 p.La presente investigación fue de carácter descriptivo experimental. Se trabajó con una población de 220 alumnos de Primero Medio del Centro Educativo Salesiano de Talca durante los meses de octubre y noviembre de 2005. La investigación se centró en la formulación de preguntas escritas por el alumno como instrumento evaluativo; la génesis de una pregunta nace de una carencia o necesidad cognitiva (conflicto cognitivo) que rodea al proceso de un alumno lo cual nos orienta hacia el aprendizaje del mismo alumno, de esta manera la pregunta toma categoría de instrumento evaluativo toda vez que genere información relevante para mejorar la decisión del docente para una efectiva retroinformación que permita un mejoramiento de aprendizajes de los alumnos. La metodología empleada fue de carácter experimental, estableciendo por un lado un análisis general de los cursos de primer año sobre la base de sus promedios anuales, evaluaciones de procesos semestrales y por otro lado la información obtenida sobre la formulación de preguntas aplicada a los alumnos del grupo experimental. Finalmente se aplicó una prueba sumativa para la contrastación de los grupos control y experimental y de esa manera determinar ciertas regularidades que dieran respuesta de la hipótesis como al problema. Los resultados obtenidos permitieron validar la hipótesis y con ello acceder a otra manifestación evaluativa centrada en un enfoque de carácter cognitivo

Reading Hospitals in Pandemic Times – Health Professionals, Main Emergency Actors

Los últimos meses hemos vivido una circunstancia de excepción en nuestro país ante la pandemia provocada por la COVID-19. Ha sido un tiempo de profunda preocupación que nos ha mantenido sobrecogidos ante las cifras de afectados y fallecidos, sin precedente. El confinamiento nos ha hecho reflexionar sobre el papel del principal agente social que ha luchado cara a cara con este virus: el conjunto de trabajadores de la sanidad española. Mientras la población general se ha quedado en casa como medida de contención, los hospitales y centros de salud son el frente abierto donde muchos hombres y mujeres con batas blancas, verdes y azules han puesto la vida de los demás por encima de la suya. Así, con las páginas siguientes queremos homenajear a todo un colectivo que ha demostrado la mayor generosidad y compromiso ciudadano, más allá de lo que supone el cumplimiento estricto de sus funciones