Association between C-reactive protein with all-cause mortality in ELSA-Brasil cohort

Background: High-sensitive C-reactive protein (hsCRP) has been proposed as a marker of incident cardiovascular disease and vascular mortality, and it may also be a marker of non-vascular mortality. However, most evidence comes from either North American or European cohorts. The present proposal aims to investigate the association of high-sensitive C-reactive protein with the risk of all-cause mortality in a multi-ethnic Brazilian population Methods: Cohort data from baseline (2008–2010) of 14 792 subjects participating in the Brazilian Longitudinal Study of Adult Health were used. HsCRP was assayed with Immunochemistry. The association of baseline covariates with all-cause mortality was calculated by Cox regression for univariate model and adjusted for different confounders after mean follow-up of 8.0 ± 1.1 years. The final model was adjusted for age, sex, self-rated race/ethnicity, schooling, health behaviours and prevalent chronic disease. Results: The risk of death increased steadily by quartiles of hsCRP from 1.45 (95% Confidence Interval: 1.05, 2.01) in Quartile 2 to 1.95 (1.42, 2.69) in Quartile 4 compared to Quartile 1. Furthermore, the persistence of a significant graded association after the exclusion of deaths in the first year of follow-up suggests that these results are unlikely to be due to reverse causality. Finally, the hazard ratios were unaffected by the exclusion of participants that had self-reported past medical history for diabetes, cancer and chronic obstructive pulmonary disease. Conclusions: Our study shows that hsCRP levels is associated with mortality in a highly admixed population, independently of a large set of lifestyle and clinical variables

Effect of maternal restricted diet during late gestation on muscle and bone development in sheep offspring

Changes in intrauterine environment, including nutrient availability, have been associated with fetal programming, contributing to different phenotypes which may determine health and susceptibility to disease throughout life. These changes seem to be mediated through alterations in both anabolic and catabolic hormone levels of maternal, placental and/or fetal origin. The present work aimed to evaluate how maternal under-nutrition during late pregnancy affects muscle and bone growth. Pregnant ewes were divided into two groups, one fed ad libitum and the other fed a restricted diet (50% of total energy requirements) during the last 6 weeks of gestation. Three twin carrying ewes from each feeding group were euthanized 6 days pre parturition. The remaining ewes gave birth normally and reared their lambs. At approximately day 30 post partum, 5 lambs from each of the feeding groups were euthanized and samples collected. Nutrient restriction during late gestation did not affect intrauterine axial growth, although weight at birth and the muscle weight were significantly lower than the ad libitum fed lamb fetuses. Bone development is less affected cf muscle development during periods of maternal feed restriction; however, catch-up growth of muscle occurs when lambs (30 days post-parturition) have access to adequate rations. In utero irrespective of maternal nutrient supply dry muscle mass is correlated (r=0.94) to bone development (bone weight, femur length and femur mineral density). In contrast, post partum growth of and skeleton are less tightly coupled and unaffected by the events in utero. A detailed examination of how maternal nutrient supply affects endocrine parameters in utero will be required to assess if it affects susceptibility post-partum to endocrine dysfunction.info:eu-repo/semantics/publishedVersio

A 2D Hopfield Neural Network approach to mechanical beam damage detection

The aim of this paper is to present a method based on a 2D Hopfield Neural Network for online damage detection in beams subjected to external forces. The underlying idea of the method is that a significant change in the beam model parameters can be taken as a sign of damage occurrence in the structural system. In this way, damage detection can be associated to an identification problem. More concretely, a 2D Hopfield Neural Network uses information about the way the beam vibrates and the external forces that are applied to it to obtain time-evolving estimates of the beam parameters at the different beam points. The neural network organizes its input information based on the Euler-Bernoulli model for beam vibrations. Its performance is tested with vibration data generated by means of a different model, namely Timonshenko's, in order to produce more realistic simulation conditions

Mineralogical and chemical changes induced by experiments of interaction between supercritical CO2 and plutonic mafic rocks. A case study in Portugal.

The focus of this research is a qualitative study of mineralogical and chemical changes in plutonic mafic rock samples after exposure to a CO2-rich brine, under supercritical conditions (SC), to clarify the behavior of brine and rock in the initial stages of mineral carbonation. The studied rock consists of a gabbro-anorthosite from the Odivelas massif, in southern Portugal. The sample was exposed to a SC CO2-rich brine (P≈8 MPa, T≈40◦C) for runs of 0, 30 and 90 days. Experiments were conducted in batch mode, ie. with no CO2 flow, and with a proportion of CO2 to brine of 0.226 for 30 days and 0.033 for 90 days. In addition, numerical modeling was applied to complement the experimental observations, reproducing the experimental observations and simulate the chemical behavior for longer times. The chemical analysis of the brine, before and after, the experiment, shows: (i) increase of magnesium (Mg2+), calcium (Ca2+) and silica (SiO2) for the 30 and 90 days runs and (ii) decrease of pH (8.1 to 6.1 and 8.1 to 6.3, respectively). Experimental and numerical results indicate that the rock sample suffered a slight dissolution process with mineralogical/textural readjustments on the external area of the specimens studied. This is thought to mimic the initial dissolution process under early-stage mineral carbonation. After 90 days, apart from halite, there are no significant new mineral phases. However, the elemental association in the EDS maps of carbon and magnesium dissociated from silicon suggests the residual crystallization of magnesit

Application of optimum-path forest classifier for synthetic material porosity segmentation

This paper presents a new application and evaluation of the Optimum-Path Forest (OPF) classifier to accomplish synthetic material porosity segmentation and quantification obtained from optical microscopic images. Sample images of a synthetic material were analyzed and the quality of the results was confirmed by human visual analysis. Additionally, the OPF results were compared against two different Support Vector Machines approaches, confirming the OPF superior fast and reliable qualities for this analysis purpose. Thus, the Optimum-Path Forest classier demonstrated to be a valid and adequate tool for microstructure characterization through porosity segmentation and quantification using microscopic images, manly due its fast, efficient and reliable manner

Adequação de propriedades rurais ao Código Florestal Brasileiro: estudo de caso no Estado do Paraná.

O Código Florestal Brasileiro de 1965 conceitua e regulamenta as Áreas de Preservação Permanente (APP) e Reserva Legal (RL). Para regulamentar a adequação das propriedades agrícolas ao código florestal, o estado do Paraná instituiu o SISLEG - Sistema de Manutenção, Recuperação e Proteção da Reserva Legal e Áreas de Preservação Permanente. Neste estudo foram quantificadas, com auxílio do sistema de posicionamento global (GPS) e programas de Sistemas de Informações Geográficas (SIG), as APPs e RLs de 147 propriedades em oito municípios das regiões centro-oriental e sudeste do Paraná, visando analisá-las frente ao Código Florestal vigente. Observou-se expressiva cobertura florestal formada por fragmentos de Floresta Ombrófila Mista; as superfícies disponíveis para definição de RL apresentam valores superiores àqueles requeridos pela legislação. Há necessidade de recomposição das APPs em 67% das propriedades; 26% das propriedades estão de acordo com as exigências do Código Florestal. A quantificação da cobertura florestal necessária e remanescente, tal como a pequena demanda de área para readequação de APP (5% da área total) permitem inferir que esses quesitos não são entraves para a regularização ambiental da agricultura familiar, nas propriedades analisadas

The distribution of work performed on a NIS junction

We propose an experimental setup to measure the work performed in a normal-metal/insulator/ superconducting (NIS) junction, subjected to a voltage change and in contact with a thermal bath. We compute the performed work and argue that the associated heat release can be measured experimentally. Our results are based on an equivalence between the dynamics of the NIS junction and that of an assembly of two-level systems subjected to a circularly polarised field, for which we can determine the work-characteristic function exactly. The average work dissipated by the NIS junction, as well as its fluctuations, are determined. From the work characteristic function, we also compute the work probability-distribution and show that it does not have a Gaussian character. Our results allow for a direct experimental test of the Crooks–Tasaki fluctuation relation.Program of Recruitment of Post Doctoral Researchers for the Portuguese Scientific and Technological System, within the Operational Program Human Potential (POPH) of the QREN, participated by the European Social Fund (ESF) and national funds of the Portuguese Ministry of Education and Science (MEC); Danish National Research Foundation, Project No. DNRF58; National Natural Science Foundation of China, Grant No. 1147425

Portuguese Football Federation consensus statement 2020: nutrition and performance in football

Nutrition is an undeniable part of promoting health and performance among football (soccer) players. Nevertheless, nutritional strategies adopted in elite football can vary significantly depending on culture, habit and practical constraints and might not always be supported by scientific evidence. Therefore, a group of 28 Portuguese experts on sports nutrition, sports science and sports medicine sought to discuss current practices in the elite football landscape and review the existing evidence on nutritional strategies to be applied when supporting football players. Starting from understanding football's physical and physiological demands, five different moments were identified: preparing to play, match-day, recovery after matches, between matches and during injury or rehabilitation periods. When applicable, specificities of nutritional support to young athletes and female players were also addressed. The result is a set of practical recommendations that gathered consensus among involved experts, highlighting carbohydrates periodisation, hydration and conscious use of dietary supplements.info:eu-repo/semantics/publishedVersio

Portuguese propolis: a source of valuable bioactivities

To FEDER/COMPETE/POCI– Operational Competitiveness and Internationalization Programme, under Project POCI-01-0145-FEDER-006958 and FCT - Portuguese Foundation for Science and Technology, under the project UID/AGR/04033/2013