271 research outputs found

    Quality-Based Thermokinetic Optimization of Ready-to-Eat Whole Edible Crab (Cancer pagurus) Pasteurisation Treatments

    Get PDF
    Traditional processing practices used in the manufacture of ready-to-eat edible crab products include a double-heat treatment involving an initial cooking step followed by washing and packaging and finally, a second heat pasteurisation. The latter, pasteurisation step, results in the most severe impact on product quality. The main objective of this research was to optimise this pasteurisation step using quality index degradation kinetic approach. Preliminary work involved the characterisation of temperature rise in the crab cold-spot during pasteurisation. Equivalent treatments (F90°C 10°C = 10 min) were defined in order to assess the impact of pasteurisation temperature on different crab quality indexes in both crab meat types, white and brown. Colour degradation of crab white meat was defined as the critical quality parameter to be monitored during thermal pasteurisation. The effect of time and temperature on the kinetics of white meat colour change (¿E*) were characterised and fitted to an exponential equation. Following this, an industry focus group was used to define white meat colour change vs product quality and defined ‘good’ (¿E* = 7), ‘acceptable’ (7 < ¿E* < 9) and ‘unacceptable’ (¿E* = 9) quality. Finally, using the developed equations, optimal pasteurisation conditions were defined and validated. To produce ‘good’ quality crab, optimal temperatures ranged between 96 and 100 °C while temperatures between 104 and 108 °C produced ‘acceptable’ quality in crabs of 400 and 800 g, respectively. Overall, the results show that the equations obtained could be used in a decision support system (DSS) to define heat pasteurisation conditions to optimise the quality of ready-to-eat edible crab

    Prevalencia de ansiedad dental en pacientes del servicio de odontología de dos hospitales del Ministerio de Salud del Perú.

    Get PDF
    Objective: To determine the level of dental anxiety in dental patients from two hospitals managed by the Ministry of Health of Peru, between August-September 2015. Material and Methods: Cross-sectional, comparative, and observational study, carried out between August and September 2015, including a total of 660 adult patients from the Dental Service of the Hospitals Regional Docente de Trujillo and Belén de Trujillo, Peru. A questionnaire based on the Modified Dental Anxiety Scale (MDAS) (Cronbach's Alpha=0.77) was applied to the participating subjects. Student's t test for independent groups and the Mann-Whitney U test were used for the analysis of the results, considering a significance level of 5%. Results: The mean total anxiety score for the population was 12.05 (SD=3.76). Females (mean=12.56) presented greater anxiety than males (mean=11.53) (p<0.001), young adults (Me=12.60) presented greater anxiety than subjects in mid-adulthood (Me=11.10) (p<0.001). No difference was found in terms of hospitals (p=0.386); 96.06% of the patients evaluated presented dental anxiety, 4.09% had extreme anxiety. Conclusion: The mean dental anxiety of the studied population coincides with the level of moderate anxiety. Females and young adults presented greater anxiety. No difference was found with respect to hospitals. Likewise, 96.06% of the evaluated patients presented dental anxiety, 4.09% had extreme anxiety.Objetivo: Determinar la ansiedad dental en pacientes odontológicos de dos hospitales del Ministerio de Salud del Perú, agosto-septiembre, 2015.Material y Métodos: El presente estudio de corte transversal, comparativo y observacional, se desarrolló entre agosto y septiembre del 2015 e incluyó un total de 660 pacientes adultos del Servicio de Odontología de los hospitales Regional Docente de Trujillo y Belén de Trujillo. Se les aplicó un cuestionario basado en la Escala de Ansiedad Dental Modificada (Alfa de Cronbach=0.77). Para el análisis de resultados se empleó la prueba t de Student para grupos independientes y la prueba U de Mann-Whitney, considerando un nivel de significancia del 5%. Resultados: La puntuación media total de ansiedad para la población fue de 12.05 (DE=3.76), el sexo femenino (Me=12.56) presentó mayor ansiedad que el masculino (Me=11.53) (p<0.001), la adultez joven (Me=12.60) presentó mayor ansiedad que la adultez media (Me=11.10) (p<0.001). No se encontró diferencia en cuanto a hospital (p=0.386). El 96.06% de los pacientes evaluados presentaron ansiedad dental, siendo el 4.09% de ansiedad extrema. Conclusión: La ansiedad dental media de la población estudiada coincide en el nivel de ansiedad moderada. El sexo femenino y los adultos jóvenes presentaron mayor ansiedad. No se encontró diferencia con respecto a los hospitales. Asimismo, el 96.06% de los pacientes evaluados presentaron ansiedad dental, siendo el 4.09% de ansiedad extrema

    Development and Validation of a Simple Risk Score for Undiagnosed Type 2 Diabetes in a Resource-Constrained Setting.

    Get PDF
    Objective. To develop and validate a risk score for detecting cases of undiagnosed diabetes in a resource-constrained country. Methods. Two population-based studies in Peruvian population aged ≥35 years were used in the analysis: the ENINBSC survey (n = 2,472) and the CRONICAS Cohort Study (n = 2,945). Fasting plasma glucose ≥7.0 mmol/L was used to diagnose diabetes in both studies. Coefficients for risk score were derived from the ENINBSC data and then the performance was validated using both baseline and follow-up data of the CRONICAS Cohort Study. Results. The prevalence of undiagnosed diabetes was 2.0% in the ENINBSC survey and 2.9% in the CRONICAS Cohort Study. Predictors of undiagnosed diabetes were age, diabetes in first-degree relatives, and waist circumference. Score values ranged from 0 to 4, with an optimal cutoff ≥2 and had a moderate performance when applied in the CRONICAS baseline data (AUC = 0.68; 95% CI: 0.62-0.73; sensitivity 70%; specificity 59%). When predicting incident cases, the AUC was 0.66 (95% CI: 0.61-0.71), with a sensitivity of 69% and specificity of 59%. Conclusions. A simple nonblood based risk score based on age, diabetes in first-degree relatives, and waist circumference can be used as a simple screening tool for undiagnosed and incident cases of diabetes in Peru

    Assessment of digital image correlation measurement errors: methodology and results

    Get PDF
    Optical full-field measurement methods such as Digital Image Correlation (DIC) are increasingly used in the field of experimental mechanics, but they still suffer from a lack of information about their metrological performances. To assess the performance of DIC techniques and give some practical rules for users, a collaborative work has been carried out by the Workgroup “Metrology” of the French CNRS research network 2519 “MCIMS (Mesures de Champs et Identification en Mécanique des Solides / Full-field measurement and identification in solid mechanics, http://www.ifma.fr/lami/gdr2519)”. A methodology is proposed to assess the metrological performances of the image processing algorithms that constitute their main component, the knowledge of which being required for a global assessment of the whole measurement system. The study is based on displacement error assessment from synthetic speckle images. Series of synthetic reference and deformed images with random patterns have been generated, assuming a sinusoidal displacement field with various frequencies and amplitudes. Displacements are evaluated by several DIC packages based on various formulations and used in the French community. Evaluated displacements are compared with the exact imposed values and errors are statistically analyzed. Results show general trends rather independent of the implementations but strongly correlated with the assumptions of the underlying algorithms. Various error regimes are identified, for which the dependence of the uncertainty with the parameters of the algorithms, such as subset size, gray level interpolation or shape functions, is discussed

    COVID-19 and dengue coinfection in Latin America: A systematic review

    Get PDF
    "Introduction: Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread globally, becoming a long-lasting pandemic. Dengue is the most common arboviral disease in tropical and subtropical regions worldwide. COVID-19 and dengue coinfections have been reported, associated with worse outcomes with significant morbidity and mortality. Therefore, this study aims to determine the epidemiological situation of COVID-19 and dengue coinfection in Latin America. Methods: A systematic literature review was performed using PubMed, Scopus, Embase, Web of Science, LILACS, and BVS databases from January 1, 2020, to September 4, 2021. The key search terms used were ""dengue"" and ""COVID-19"". Results: Nineteen published articles were included. The studies were case reports with a detailed description of the coinfection’s clinical, laboratory, diagnostic, and treatment features. Conclusion: Coinfection with SARS-CoV-2 and dengue virus is associated with worse outcomes with significant morbidity and mortality. The similar clinical and laboratory features of each infection are a challenge in accurately diagnosing and treating cases. Establishing an early diagnosis could be the answer to reducing the estimated significant burden of these conditions.
    corecore