During the El Niño and La Niña seasons, the forecast skill scores clearly increase. The downscaling of the Eta model seasonal forecasts provides added value over the driver global model forecasts, especially during rainy periods.A chromatographic method consisting of multi wavelength detection for identification of six phenolic acids, one stilbene and five flavonoids in grape and apple pomaces was proposed. Scavenging of DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid), reactive oxygen species and reduction of Fe3+ to Fe2+ using in vitro and HPLC-UV-ABTS on-line methods are herein presented. A reversed phase C18 coupled with an absorption detector operating at 280, 300, 320 and 360 nm for the benzoic acid derivatives and flavanols; stilbenes; cinnamic acid derivatives and flavonols, were respecctively used. The solvents water, methanol and acetonitrile acidified with acetic acid were evaluated as mobile phase. The optimized chromatographic method presented recoveries ranged from 68 to 130% and from 66 to 130% for grape and apple pomaces respectively. The determination coefficients (R2) of the 12 compounds were > 0.98. The extracts showed high total phenolic content and exhibits strong capacities to scavenge free radicals and reactive oxygen species. The results obtained by HPLC-ABTS on-line method suggest that pomaces of grape and apple are rich in bioactive compounds and that catechin and epicatechin contribute in a significantly way to the antioxidant activity in both agroindustrial pomaces.The transmuted family of distributions has been receiving increased attention over the last few years. In this paper, we generalize the Marshall-Olkin extended Lomax distribution using the quadratic rank transmutation map to obtain the transmuted Marshall-Olkin extended Lomax distribution. Several properties of the new distribution are discussed including the hazard rate function, ordinary and incomplete moments, characteristic function and order statistics. We provide an estimation procedure by the maximum likelihood method and a simulation study to assess the performance of the new distribution. We prove empirically the flexibility of the new model by means of an application to a real data set. It is superior to other three and four parameter lifetime distributions.A male patient with flu-like symptoms and tomography and laboratory diagnosis of severe acute respiratory syndrome. He developed acute cardiac dysfunction during admission and was submitted to a cardiac magnetic resonance imaging examination, which confirmed acute myocarditis, indicating cardiac involvement by coronavirus disease 2019.  https://www.selleckchem.com/products/camostat-mesilate-foy-305.html  A review and discussion about coronavirus disease 2019-related cardiac manifestations are reported, focusing on the imaging findings to make diagnosis.
  To determine the period during which we should avoid cholecystectomy after endoscopic retrograde cholangiopancreatography.
 
  A retrospective analysis of electronic medical charts of 532 patients undergoing endoscopic retrograde cholangiopancreatography, between March 2013 and December 2017.
 
  Approximately one-third of patients underwent the procedure between 4 and 30 days after endoscopic retrograde cholangiopancreatography. The conversion rate was 3.8%. The need for abdominal drainage and the finding of biliary tract injury after surgery were observed in 15.1% and 1.9% of patients, respectively. The length of stay was significantly shorter among patients undergoing surgery more than 30 days after endoscopic retrograde cholangiopancreatography. These patients had a median length of stay of one day, whereas the median length of stay in the group undergoing the procedure between 4 and 30 days after endoscopic retrograde cholangiopancreatography was 2 days.
 
  The period during which we should avoid cholecystectomy is between 4 and 30 days after endoscopic retrograde cholangiopancreatography.
 The period during which we should avoid cholecystectomy is between 4 and 30 days after endoscopic retrograde cholangiopancreatography.
  To investigate the discriminative power of Nutritional Risk Screening 2002.
 
  A cross sectional study involving one hundred participants aged ≥60 years. The original and adapted versions of Nutritional Risk Screening 2002 and the Mini Nutritional Assessment were used. Nutritional Risk Screening 2002 adaptation consisted of a lower age cutoff (60 years or older) for addition of one extra point to the final score.
 
  Screening using Nutritional Risk Screening 2002 revealed higher nutritional risk among patients aged ≥70 years (p=0.009), whereas screening using the adapted version of Nutritional Risk Screening 2002 revealed similar nutritional risk in both age groups (60-69 years and ≥70 years; p=0.117). Frequency of nutritional risk was highest when the Mini Nutritional Assessment was administered (52.7%), followed by the adapted and original versions of Nutritional Risk Screening 2002 (35.5% and 29.1%, respectively).
 
  The adapted version of Nutritional Risk Screening 2002 was more effective than the original version. However, further studies are needed to confirm these findings.
 The adapted version of Nutritional Risk Screening 2002 was more effective than the original version. However, further studies are needed to confirm these findings.
  to propose a structural model of active ageing among elderly community members based on the World Health Organization's theoretical framework and to identify the most relevant determinants of active ageing to the proposed model.
 
  a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed.
 
  the final measurement model was composed of the six determinants of active ageing behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services  active ageing (λ=0.97; p<0.001).
 
  satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population.