Impact of oral health on the quality of life of young people in confinement, Córdoba, Argentina: A mixed methods study.

Introduction: Quality of life can be understood as the perception subjects have of their position in life in relation to their goals, expectations and concerns. Measuring and understanding the impact of oral health on the quality of life of people may contribute to the promotion of health and prevention of disease. The aim of this study was to evaluate the impact of oral health on the quality of life of young people in confinement. Methodology: Cross-sectional study with mixed approach. Adolescents between 14 and 18 years of age, confined in socio-educational juvenile detention centers in the Province of Córdoba, Argentina, were included in the study. After signing of informed consent, the OHIP-49 questionnaire was applied to 70 youngsters and 32 semi-structured interviews were conducted. Results: The OHIP-49 had a mean of 53.37±28.77, the dimensions with more impact were: functional limitation, physical pain and psychological discomfort. Confinement emerges as an amplifier of sensations and as a barrier for accessing palliative care. Regarding aesthetic aspects, subjects reported specific discomfort that does not always interfere with their self-esteem or relationship with peers. Conclusions: Young people perceive the impact of oral health on their quality of life from episodes of suffering, although not only because of pain, but also for aesthetic reasons. Confinement creates a particular context for sensations and resolutions on health-disease-care processes regarding oral health

Evolution of the eccentricity and inclination of low-mass planets subjected to thermal forces: a numerical study

By means of three dimensional, high resolution hydrodynamical simulations we study the orbital evolution of weakly eccentric or inclined low-mass protoplanets embedded in gaseous discs subject to thermal diffusion. We consider both non-luminous planets, and planets that also experience the radiative feedback from their own luminosity. We compare our results to previous analytical work, and find that thermal forces (the contribution to the disc's force arising from thermal effects) match those predicted by linear theory within $\sim 20$%. When the planet's luminosity exceeds a threshold found to be within $10$% of that predicted by linear theory, its eccentricity and inclination grow exponentially, whereas these quantities undergo a strong damping below this threshold. In this regime of low luminosity indeed, thermal diffusion cools the surroundings of the planet and allows gas to accumulate in its vicinity. It is the dynamics of this gas excess that contributes to damp eccentricity and inclination. The damping rates obtained can be up to $h^{-1}$ times larger than those due to the resonant interaction with the disc, where $h$ is the disc's aspect ratio. This suggests that models that incorporate planet-disc interactions using well-known formulae based on resonant wave-launching to describe the evolution of eccentricity and inclination underestimate the damping action of the disc on the eccentricity and inclination of low-mass planets by an order of magnitude.Comment: Accepted for publication in MNRA

TAVI pilot outcomes: A South African healthcare funder perspective

BACKGROUND: TAVI (Transcatheter aortic valve implantation) is used to replace the aortic valve in the treatment of aortic stenosis in high-risk, elderly patients who are unable to undergo conventional surgical replacement of the aortic valve (SAVR). However, concerns remain regarding the costs, long-term outcomes and safety of the device. A registry was developed by a healthcare funder to assess utilisation, outcomes and cost of this procedure in their patient population. METHODS: Registry data was collected for a period of 17 months. Clinical entry criteria included high-risk, elderly patients with symptomatic, severe aortic valvedisease who were unsuitable for surgical valve replacement. Clinical outcomes were mortality, readmission and pacemaker requirements post-surgery. Primary outcome measure was all-cause mortality at 30 days.RESULTS: A cohort of 78 patients was enrolled, mean age of 79.53 years. Procedures were performed in 7 centers around the country. Thirty day all-cause mortality was 9 (11.54%) with 5 deaths occurring on the day of the procedure. Eighteen (23.1%) patients were readmitted within 30 days. Average LOS was 5.71 (±4.06SD) days with an average cost of ZAR327 962 per patient. CONCLUSION: Results suggest outcomes are similar toother settings and countries. Ongoing data collection is required to better understand long-term outcomes and costs

The Computational Power of Beeps

In this paper, we study the quantity of computational resources (state machine states and/or probabilistic transition precision) needed to solve specific problems in a single hop network where nodes communicate using only beeps. We begin by focusing on randomized leader election. We prove a lower bound on the states required to solve this problem with a given error bound, probability precision, and (when relevant) network size lower bound. We then show the bound tight with a matching upper bound. Noting that our optimal upper bound is slow, we describe two faster algorithms that trade some state optimality to gain efficiency. We then turn our attention to more general classes of problems by proving that once you have enough states to solve leader election with a given error bound, you have (within constant factors) enough states to simulate correctly, with this same error bound, a logspace TM with a constant number of unary input tapes: allowing you to solve a large and expressive set of problems. These results identify a key simplicity threshold beyond which useful distributed computation is possible in the beeping model.Comment: Extended abstract to appear in the Proceedings of the International Symposium on Distributed Computing (DISC 2015

A numerical framework for modelling tire mechanics accounting for composite materials, large strains and frictional contact

Presentation delivered by Alejandro Cornejo from CIMNE during the 17th International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS) taking place from 5 – 7 of September in Barcelona, Spain.The Fatigue4Light project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 10100684

Evaluation of clinical dental variables to build classifiers to predict celiac disease.

Objective: The aim of this study was to evaluate the use of salivary variables to build statistical models for predicting celiac disease in symptomatic children. Materials and Methods: the study group consisted of 52 children with celiac disease diagnosed by bowel biopsy, grade III or IV (4 to 12 years old, both sexes) and 23 healthy children as a control group. A logistic regression model was applied to evaluate an individual’s belonging to one group or another. The performance of the model was evaluated by the value of area under the ROC curve. The salivary variables included in the model were the concentration of total proteins, calcium, Ca / P molar ratio, buffer capacity and salivary flow. Results: The total proteins (p = 0.0016) and Ca / P molar ratio (p = 0.0237) variables were significantly associated with the celiac condition. The value of the area under the ROC curve, estimated from the probabilities of the logistic model, showed that salivary component values allow the celiac condition of patients to be predicted with 85% accuracy (p <0.0001). Conclusion: Logistic discriminant analysis built with salivary variables shows that these are good for predicting this eating pathology with 85% accuracy.publishedVersio

Propuesta de mejoramiento y ampliación de servicios en el área de metalmecánica para “Talleres Benenaula”

Para el desarrollo de este trabajo, basado en la implementación de mejoras productivas en el sector industrial, se efectuó un diagnóstico de la situación actual de la empresa de mecánica de precisión Talleres Benenaula, identificando sus fortalezas y debilidades a nivel productivo; posteriormente se realizó un estudio de mercado para la instauración de nuevos servicios de tratamientos térmicos, incluyendo la fabricación de un prototipo de máquina para tratamiento criogénico y los servicios de mecanizado mediante maquinaria con tecnología de Control Numérico Computarizado (CNC), de acuerdo a los análisis de la demanda insatisfecha. De esta manera se realizó un estudio técnico de los servicios actuales y nuevos, para proponer una reestructuración de la planta actual mediante un rediseño y reubicación adecuados de la planta, para satisfacer sus necesidades actuales y sus nuevos servicios. En la fase final se realizó un estudio económico de la propuesta, en el cual se verificó su viabilidad en costos, ingresos, inversiones y la evaluación financiera