Implicaciones epidemiológicas de la inmigración en las enfermedades inmunoprevenibles

La movilidad de la población tiene un impacto directo sobre la salud y el uso de los servicios de salud en las naciones huéspedes, impacto que está aumentando cada año con el aumento de los movimientos migratorios. La inmigración, los refugiados, la adopción internacional, están cambiando el patrón epidemiológico de las enfermedades infecciosas inmunoprevenibles en las comunidades de acogida. El éxito en la eliminación y erradicación de enfermedades inmunoprevenibles depende de la vigilancia y control que se esté realizando a nivel mundial. En la actualidad, la vigilancia de alguna de estas enfermedades inmunoprevenibles, como el sarampión, la rubéola, la hepatitis A y la hepatitis B, ha permitido detectar ya en nuestra zona cambios en su patrón epidemiológico asociados a la inmigración

Criptosistemas de clave pública basados en el problema de las mochilas

Un criptosistema de clave pública es un sistema de transmisión de mensajes entre un emisor y un receptor a través de una función de una vía, es decir, una función cuya inversa es muy difícil de calcular sin una información complementaria de la que sólo dispone el receptor legítimo. Una de estas funciones es el problema de las mochilas, que consiste en, dado un conjunto de pesos A y un número grande S, encontrar, si existe, un subconjunto de A tal que la suma de sus elementos sea S. Tanto los pesos como S son números naturales. El trabajo consistirá en una explicación y ejemplos del criptosistema de Merkle-Hellmann (1978), el posterior de Shamir (1982) y un resumen de las variantes surgidas hasta la fecha, dado que el sistema de Merkle-Hellmann ya no es útil.Grado en Matemática

Estudio y diseño de una instalación solar térmica para ACS y calefacción

The objective of this project is to study the possible application of a solar thermal installation to front the sanitary hot water (SHW) and heating demand and its subsequent design following the current legislation. The aim of this study was to analyze the technical, economical and environmental feasibility of using solar energy in SHW and heating applications. The building location, Leganés (Madrid) impose a climatic data good for the application of SHW because we are able to satisfy a big part of the demand. But for the heating application there are two problems: one is the big demand of the building due to the number of people living there (80 people), and the other are the cold temperatures in winter, which involve big looses through the environment joined with the low radiation in winter. _____________________________________________________________________________________El objetivo del proyecto es estudiar la posible aplicación de una instalación solar térmica para afrontar la demanda de agua caliente sanitaria y calefacción y su posterior diseño siguiendo la legislación española vigente (CTE Y RITE). El objetivo de este estudio era analizar de forma técnica, económica y ambiental, la utilización de un sistema de energía solar para aplicaciones de ACS y calefacción. La situación del edificio, (Leganés, Madrid) impone unos datos climáticos adecuados para la aplicación de ACS, ya que es posible satisfacer la demanda. En el caso de la aplicación de calefacción nos encontramos con dos problemas: uno es la gran demanda del edificio debido a la cantidad de gente que habita en él (80 personas), y el otro son las frías temperaturas en invierno que presenta el lugar de emplazamiento, lo que conlleva a grandes pérdidas de calor a través del ambiente, unido a la baja radiación solar en invierno.Ingeniería Industria

Multilingual manager: a new strategic role in organizations

Today?s knowledge management (KM) systems seldom account for language management and, especially, multilingual information processing. Document management is one of the strongest components of KM systems. If these systems do not include a multilingual knowledge management policy, intranet searches, excessive document space occupancy and redundant information slow down what are the most effective processes in a single language environment. In this paper, we model information flow from the sources of knowledge to the persons/systems searching for specific information. Within this framework, we focus on the importance of multilingual information processing, which is a hugely complex component of modern organizations

Automatic Generation of Titles for a Corpus of Questions

This paper describes the followed methodology to automatically generate titles for a corpus of questions that belong to sociological opinion polls. Titles for questions have a twofold function: (1) they are the input of user searches and (2) they inform about the whole contents of the question and possible answer options. Thus, generation of titles can be considered as a case of automatic summarization. However, the fact that summarization had to be performed over very short texts together with the aforementioned quality conditions imposed on new generated titles led the authors to follow knowledge-rich and domain-dependent strategies for summarization, disregarding the more frequent extractive techniques for summarization

Effectiveness, implementation, and monitoring variables of intermittent hypoxic bicycle training in patients recovered from COVID-19: The AEROBICOVID study

Hypoxic exposure is safely associated with exercise for many pathological conditions, providing additional effects on health outcomes. COVID-19 is a new disease, so the physiological repercussions caused by exercise in affected patients and the safety of exposure to hypoxia in these conditions are still unknown. Due to the effects of the disease on the respiratory system and following the sequence of AEROBICOVID research work, this study aimed to evaluate the effectiveness, tolerance and acute safety of 24 bicycle training sessions performed under intermittent hypoxic conditions through analysis of peripheral oxyhemoglobin saturation (SpO2), heart rate (HR), rate of perceived exertion (RPE), blood lactate concentration ([La−]) and symptoms of acute mountain sickness in patients recovered from COVID-19. Participants were allocated to three training groups: the normoxia group (GN) remained in normoxia (inspired fraction of O2 (FiO2) of ~20.9%, a city with 526m altitude) for the entire session; the recovery hypoxia group (GHR) was exposed to hypoxia (FiO2 ~13.5%, corresponding to 3,000m altitude) all the time except during the effort; the hypoxia group (GH) trained in hypoxia (FiO2 ~13.5%) throughout the session. The altitude simulation effectively reduced SpO2 mean with significant differences between groups GN, GHR, andGH, being 96.9(1.6), 95.1(3.1), and 87.7(6.5), respectively. Additionally, the proposed exercise and hypoxic stimuluswaswell-tolerated, since 93% of participants showed no or moderate acutemountain sickness symptoms; maintained nearly 80% of sets at target heart rate; andmost frequently reporting session intensity as an RPE of “3” (moderate). The internal load calculation, analyzed through training impulse (TRIMP), calculated using HR [TRIMPHR = HR * training volume (min)] and RPE [TRIMPRPE = RPE * training volume (min)], showed no significant difference between groups. The current strategy effectively promoted the altitude simulation and monitoring variables, being well-tolerated and safely acute exposure, as the low Lake Louise scores and the stable HR, SpO2, and RPE values showed during the sessions.'USP Vida' Project from USP 3518/2020Integrated Research Projects in Strategic Areas from USP PIPAE 2021.1.10424.1.9PDU EFISAL - Universidad de la Republica 003051-000603-1

Relation of Offensive Performance during Exclusions and Final Ranking in Female Handball

The aim of this study was to determine team offensive performance indicators during exclusions related to the final ranking obtained in the tournament. Twenty-nine matches from the 2017 Pan-American Female Championship played by 10 national teams were analyzed using observational methodology. Cramer’s V and Fisher’s exact test were applied to identify associations between the variables. The Chaid algorithm was used to identify performance variables during inequality situations associated with the final ranking. Results showed that teams ranked 1st to 3rd presented a statistically significant relationship (p < 0.001; ASR 5.2) of being in superiority, scoring on 56.8% of their finalizations, while teams ranked 7th to 10 th showed a tendency of ending their attacks in turnovers under inequality situations (p < 0.00; ASR 3.1). Playing with an empty net during inferiority situations was a predictor of winners belonging to the medalist teams in 76.2% of the analyzed situations. It can be concluded that during numerical superiority, the best-ranked teams better handled their possessions. The substitution of the goalkeeper for a court player during inferiority was a predictor of belonging to the medalist group. Playing with the goalkeeper in goal (playing 5 against 6) when the match status was balanced or unbalanced, was a predictor of losing teams that did not end up in the medalist groups

Lack of answer estimation by fuzzy control

The problem of the lack of answer in questions of survey is usually dealt with different estimation and classification procedures from the answers to other questions. In this document, the results of applying fuzzy control methods for the vote -one of the variables with bigger lack of answer in opinion polls- are presented

Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs

There are many situations where input feature vectors are incomplete and methods to tackle the problem have been studied for a long time. A commonly used procedure is to replace each missing value with an imputation. This paper presents a method to perform categorical missing data imputation from numerical and categorical variables. The imputations are based on Simpson’s fuzzy min-max neural networks where the input variables for learning and classification are just numerical. The proposed method extends the input to categorical variables by introducing new fuzzy sets, a new operation and a new architecture. The procedure is tested and compared with others using opinion poll data