Curso de Flautas Dolce

VII Seminário de Extensão Universitária da UNILA (SEUNI); VIII Encontro de Iniciação Científica e IV Encontro de Iniciação em Desenvolvimento Tecnológico e Inovação (EICTI 2019) e Seminário de Atividades Formativas da UNILA (SAFOR)El curso de flauta dulce ofrece un acercamiento inicial al instrumento como herramienta de musicalización. A través de clases prácticas se abordan cuestiones técnicas (respiración, digitación, escalas, entrenamiento rítmico) y el aprendizaje del repertorio popular. Se ofrece en dos espacios: Alliance Fraternity Association (proyecto social) y Campus AlmadaAgradezco a la Universidad de Integración Latino-Americana (UNILA) por el financiamiento para este proyecto, los equipos y recursos necesarios para desarrollar el proyecto del curso de flautas dulce. Al orientador Me. Danilo Bogo, al colaborador Prof. Dr. Marcelo R. Villena y a los voluntarios del proyect

Postural evaluation and balance analysis in nordic skiing beginners

Se trata de un estudio de diseño transversal con evaluación del control postural antes-después de un curso de iniciación al esquí nórdico (5 jornadas, 6h/día), a un grupo experimental de 25 sujetos, participantes de la formación, y un grupo control de 8 sujetos. Se pretende evaluar el efecto de un entrenamiento inicial de esquí nórdico sobre el control postural en jóvenes deportistas. La estabilidad corporal se evaluó por medio de un test estabilométrico, calculando el área de desviación del centro de presiones por medio de una plataforma de fuerzas con sensores electrónicos. No se aprecian diferencias significativas en el grado de mejora del equilibrio entre el grupo experimental y el grupo control. Nuevos estudios con una mayor exigencia en la formación en esquí nórdico y un mayor número de sujetos en el grupo control son requeridosCross-sectional study with evaluation of postural control before and after a course of initiation to Nordic skiing (5 days, 6 hours per day). The sample consisted of an experimental group of 25 subjects participated in the training and a control group of 8 subjects. It is intended to evaluate the effect of initial training of Nordic skiing on postural control in young athletes. The physical stability was evaluated by a stabilometric test, calculating the deviation of the area of the center of pressures by the use of a force platform with electronic sensors. No significant differences were observed in the degree of improvement of the balance between the experimental group and the control group. New studies with a greater emphasis on training in Nordic skiing and a greater number of subjects in the control group are require

Semantic Sentiment Analysis of Twitter Data

Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype and WhatsApp are now commonly used to share thoughts and opinions about anything in the surrounding world. This has resulted in the proliferation of social media content, thus creating new opportunities to study public opinion at a scale that was never possible before. Naturally, this abundance of data has quickly attracted business and research interest from various fields including marketing, political science, and social studies, among many others, which are interested in questions like these: Do people like the new Apple Watch? Do Americans support ObamaCare? How do Scottish feel about the Brexit? Answering these questions requires studying the sentiment of opinions people express in social media, which has given rise to the fast growth of the field of sentiment analysis in social media, with Twitter being especially popular for research due to its scale, representativeness, variety of topics discussed, as well as ease of public access to its messages. Here we present an overview of work on sentiment analysis on Twitter.Comment: Microblog sentiment analysis; Twitter opinion mining; In the Encyclopedia on Social Network Analysis and Mining (ESNAM), Second edition. 201

Caracterización mecánica de pistas deportivas fabricadas con materiales procedentes de neumáticos fuera de uso (NFU)

Congreso celebrado en la Escuela de Arquitectura de la Universidad de Sevilla desde el 24 hasta el 26 de junio de 2015.The European Framework Directive 2008/98/EC on waste established as priority reuse and recycling before other recovery alternatives. In this normative reference, one the main waste flows identified are the end-of-life tyres, as a material whose mechanical properties could provide advantage in the construction of new structures. This paper presents the mechanical characterization of a layer made with shredded tires out of use, inside a section of a sportive track which included a sand layer. The use of the shredded tires out of use provides special features related with elasticity and damping to the sportive surface. In order to do that, a new test based on UNE-14809 was designed. A number of tests were performed using different configuration of sand and shredded tires. From the results obtained, a numerical model was implemented in FEA software

Armado Óptimo de Secciones de Hormigón Posteso

The amount of passive reinforcement to be provided in the ultimate limit state is computed by means of RSD (Reinforcement Sizing Diagrams) taking into account the presence of active reinforcement, for a particular range of pairs active steel area – active steel eccentricity (Ap – dp) that meet the requirements imposed by the serviceability limit state. The solution that provides the minimum total cost of both active and passive steel is selected.Para un rango de valores de área de armadura activa y de excentricidad que cumplen los requisitos de tensión impuestos por el estado límite de servicio, se evalúa la armadura pasiva necesaria en estado límite último mediante la técnica RSD (Reinforcement Sizing Diagrams) teniendo en cuenta la presencia de la armadura activa. Se selecciona la solución que conduce a un valor mínimo del coste total de armado pasivo y activo

Predicting no-show appointments in a pediatric hospital in Chile using machine learning

The Chilean public health system serves 74% of the country’s population, and 19% of medical appointments are missed on average because of no-shows. The national goal is 15%, which coincides with the average no-show rate reported in the private healthcare system. Our case study, Doctor Luis Calvo Mackenna Hospital, is a public high-complexity pediatric hospital and teaching center in Santiago, Chile. Historically, it has had high no-show rates, up to 29% in certain medical specialties. Using machine learning algorithms to predict no-shows of pediatric patients in terms of demographic, social, and historical variables. To propose and evaluate metrics to assess these models, accounting for the cost-effective impact of possible intervention strategies to reduce no-shows. We analyze the relationship between a no-show and demographic, social, and historical variables, between 2015 and 2018, through the following traditional machine learning algorithms: Random Forest, Logistic Regression, Support Vector Machines, AdaBoost and algorithms to alleviate the problem of class imbalance, such as RUS Boost, Balanced Random Forest, Balanced Bagging and Easy Ensemble. These class imbalances arise from the relatively low number of no-shows to the total number of appointments. Instead of the default thresholds used by each method, we computed alternative ones via the minimization of a weighted average of type I and II errors based on cost-effectiveness criteria. 20.4% of the 395,963 appointments considered presented no-shows, with ophthalmology showing the highest rate among specialties at 29.1%. Patients in the most deprived socioeconomic group according to their insurance type and commune of residence and those in their second infancy had the highest no-show rate. The history of non-attendance is strongly related to future no-shows. An 8-week experimental design measured a decrease in no-shows of 10.3 percentage points when using our reminder strategy compared to a control group. Among the variables analyzed, those related to patients’ historical behavior, the reservation delay from the creation of the appointment, and variables that can be associated with the most disadvantaged socioeconomic group, are the most relevant to predict a no-show. Moreover, the introduction of new cost-effective metrics significantly impacts the validity of our prediction models. Using a prototype to call patients with the highest risk of no-shows resulted in a noticeable decrease in the overall no-show rate.</p

Influence of ozonation processes on the microbial degradation of surfactants

The influence of ozonation of aqueous solutions of non-ionic surfactants was investigated in this study. The research was conducted using solutions of amine oxide based surfactants. These surfactants constitute a particular class of non-ionic surfactants that exhibit cationic behaviour in acid solution, they show good foaming properties and are skin compatible. The ozonation process was carried out at 25ºC in a stirred tank reactor for 30 min, where gaseous ozone was bubbled. The degree of mineralization achieved after the ozonation process was evaluated by measuring the total organic carbon before and after ozonation. The influence of ozonation on biodegradability of the solutions was studied using the biodegradation test by Pseudomonas putida. Biodegradation efficiency of the ozonated amine oxides based surfactants was also evaluated. It was found that the effectiveness of ozonation depended on the chemical structure of surfactant molecule. Ozonation only slightly improved biodegradation of these surfactants