Instrument for assessment of best practices in school food and nutrition units: from design to validation

The scope of this study was to elaborate and validate an assessment tool for Best Practices in School Food and Nutrition Units. For this purpose a survey was conducted in the city of Santos (São Paulo - Brazil), in two stages: 1) Preparation of a Checklist for Best Practices in School Food and Nutrition Units (BPAE checklist). 2) Validation of the BPAE checklist. This checklist was applied in 76 public schools along with two other reference checklists. Sensitivity and specificity were estimated using the Receiver Operating Characteristics (ROC) Curve and the checklist was evaluated by application of the Likert scale. The thematic groups received weights to calculate the percentage of adequacy. After the application of the checklists in schools, the area under the curve value of 0.79 was found for the SS-196 checklist and 0.85 for the 542/2006 administrative checklist. These values indicate good suitability of the BPAE checklist to identify inadequacies, and it also received a positive assessment from the school food nutritionists. It proved that the checklist will assist in decision-making to ensure quality control. Once the BPAE checklist has been fully tested and validated it should prove an important tool for quality control in school nutrition.O objetivo deste artigo é elaborar e validar instrumento de avaliação das Boas Práticas para Unidades de Alimentação e Nutrição Escolares. Estudo desenvolvido na cidade de Santos, realizado em dois momentos: 1) Elaboração da Lista de Verificação das Boas Práticas na Alimentação Escolar (Lista de Verificação BPAE) e; 2) Validação da Lista de Verificação BPAE com aplicação desta e de outras duas listas de referência em 76 escolas municipais. A sensibilidade e a especificidade foram estimadas por meio da Curva ROC - Receiver Operating Characteristics e a lista de verificação foi avaliada de acordo com a escala de Likert. Os blocos temáticos receberam pesos para o cálculo do percentual de adequação. Após aplicação das listas nas escolas foi observado valor de área sob a curva de 0,79 em relação à lista SS-196 e 0,85 para a Portaria 542/2006, indicando boa capacidade da Lista de Verificação BPAE em identificar inadequações. Esta lista recebeu avaliação positiva dos nutricionistas da alimentação escolar revelando que a mesma auxiliará na tomada de decisões para o controle de qualidade. A Lista de Verificação de BPAE elaborada e validada pode se constituir em importante instrumento para o controle de qualidade da alimentação escolar.Universidade Federal de São Paulo (UNIFESP) Departamento de Gestão e Cuidados em Saúde, Grupo de Estudos em Qualidade dos AlimentosUniversidade Federal de São Paulo (UNIFESP) Grupo de Estudos em Qualidade dos AlimentosCentro de Diagnósticos LaboratoriaisUniversidade Federal do Rio Grande Faculdade de MedicinaUNIFESP, Depto. de Gestão e Cuidados em Saúde, Grupo de Estudos em Qualidade dos AlimentosUNIFESP, Grupo de Estudos em Qualidade dos AlimentosSciEL

Elemental Abundances of Kepler Objects of Interest in APOGEE. I. Two Distinct Orbital Period Regimes Inferred from Host Star Iron Abundances

The Apache Point Observatory Galactic Evolution Experiment (APOGEE) has observed $\sim$600 transiting exoplanets and exoplanet candidates from \textit{Kepler} (Kepler Objects of Interest, KOIs), most with $\geq$18 epochs. The combined multi-epoch spectra are of high signal-to-noise (typically $\geq$100) and yield precise stellar parameters and chemical abundances. We first confirm the ability of the APOGEE abundance pipeline, ASPCAP, to derive reliable [Fe/H] and effective temperatures for FGK dwarf stars -- the primary \textit{Kepler} host stellar type -- by comparing the ASPCAP-derived stellar parameters to those from independent high-resolution spectroscopic characterizations for 221 dwarf stars in the literature. With a sample of 282 close-in ($P<100$ days) KOIs observed in the APOGEE KOI goal program, we find a correlation between orbital period and host star [Fe/H] characterized by a critical period, $P_\mathrm{crit}$= $8.3^{+0.1}_{-4.1}$ days, below which small exoplanets orbit statistically more metal-enriched host stars. This effect may trace a metallicity dependence of the protoplanetary disk inner-radius at the time of planet formation or may be a result of rocky planet ingestion driven by inward planetary migration. We also consider that this may trace a metallicity dependence of the dust sublimation radius, but find no statistically significant correlation with host $T_\mathrm{eff}$ and orbital period to support such a claim.Comment: 18 Pages, Accepted to A

Simulation study

Publisher Copyright: © 2023 JMIR Publications Inc.. All rights reserved.Background: Contact tracing is a fundamental intervention in public health. When systematically applied, it enables the breaking of chains of transmission, which is important for controlling COVID-19 transmission. In theoretically perfect contact tracing, all new cases should occur among quarantined individuals, and an epidemic should vanish. However, the availability of resources influences the capacity to perform contact tracing. Therefore, it is necessary to estimate its effectiveness threshold. We propose that this effectiveness threshold may be indirectly estimated using the ratio of COVID-19 cases arising from quarantined high-risk contacts, where higher ratios indicate better control and, under a threshold, contact tracing may fail and other restrictions become necessary. Objective: This study assessed the ratio of COVID-19 cases in high-risk contacts quarantined through contact tracing and its potential use as an ancillary pandemic control indicator. Methods: We built a 6-compartment epidemiological model to emulate COVID-19 infection flow according to publicly available data from Portuguese authorities. Our model extended the usual susceptible-exposed-infected-recovered model by adding a compartment Q with individuals in mandated quarantine who could develop infection or return to the susceptible pool and a compartment P with individuals protected from infection because of vaccination. To model infection dynamics, data on SARS-CoV-2 infection risk (IR), time until infection, and vaccine efficacy were collected. Estimation was needed for vaccine data to reflect the timing of inoculation and booster efficacy. In total, 2 simulations were built: one adjusting for the presence and absence of variants or vaccination and another maximizing IR in quarantined individuals. Both simulations were based on a set of 100 unique parameterizations. The daily ratio of infected cases arising from high-risk contacts (q estimate) was calculated. A theoretical effectiveness threshold of contact tracing was defined for 14-day average q estimates based on the classification of COVID-19 daily cases according to the pandemic phases and was compared with the timing of population lockdowns in Portugal. A sensitivity analysis was performed to understand the relationship between different parameter values and the threshold obtained. Results: An inverse relationship was found between the q estimate and daily cases in both simulations (correlations >0.70). The theoretical effectiveness thresholds for both simulations attained an alert phase positive predictive value of >70% and could have anticipated the need for additional measures in at least 4 days for the second and fourth lockdowns. Sensitivity analysis showed that only the IR and booster dose efficacy at inoculation significantly affected the q estimates. Conclusions: We demonstrated the impact of applying an effectiveness threshold for contact tracing on decision-making. Although only theoretical thresholds could be provided, their relationship with the number of confirmed cases and the prediction of pandemic phases shows the role as an indirect indicator of the efficacy of contact tracing.publishe

Recurrent respiratory papillomatosis: clinical characteristics and viral genotyping in a Brazilian population

This study presents 25 cases of recurrent respiratory papillomatosis (RRP) that occurred in Sao Luis, Maranhao State, Northeast region, Brazil, between January 2007 and December 2018. Sociodemographic and clinical profile of patients as well as human papillomavirus (HPV) infection status were evaluated. Clinical and histopathological data were collected from the patients’ medical records. For the HPV infection analysis, DNA was extracted and subjected to amplification by a nested polymerase chain reaction. Viral genotyping was performed by automated sequencing. The median age of patients was 12.40 ± 12.6. years, and the juvenile form of the disease (68%) was the predominant form of disease. Female participants were predominant (60%), and they were from cities located in the interior of the State (60%). The most common clinical manifestation was dysphonia; recurrence was observed in most cases (56%), and tracheostomy was necessary in seven patients (26.9%). When comparing the RRP forms, patients in the juvenile-RRP group had higher recurrence rates and need of tracheostomy than those in the adult-RRP group. The viral genotyping analysis revealed that 47.8% of patients had low-risk HPVs, whereas 13.1% had high-risk HPVs, and in 39.1% of patients the viral genotype was not obtained. HPV-6 was the most prevalent type and Juvenile-RRP was more prevalent in our population. HPV was present at a high rate, and HPV-6 was the predominant genotype. This study serves as the basis for further studies to be conducted in the Brazilian population. Our findings aid the better understanding of RRP, possibly suggesting some prognostic factors associated with the disease aggressiveness

Perinatal malnutrition stimulates motivation through reward and enhances drd1a receptor expression in the ventral striatum of adult mice

AbstractAimThe aim of this study was to analyze the effects of protein perinatal malnutrition on the function of dopamine DRD1 and DRD2 receptors in regards to motivation and food consumption in adult mice. The study also analyzed the effect of protein perinatal malnutrition on the gene expression of these receptors in the ventral striatum.MethodsWistar lineage mice were divided into two groups according to maternal diet: control (17% casein), n=30 and low protein (8% casein), n=30. Between 30 and 120days of life, the following factors were measured: body weight; the effect of dopamine D1 and D2 agonists on the ingestion of palatable food; the motivational aspect under the action of the D1 (SKF 38393) and D2 Quinpirole dopaminergic agonists; and the gene expression of DRD1 and DRD2 receptors in the ventral striatum.ResultsThe body weights of the malnourished animals remained significantly lower than those of the control group from 30 to 120days of life. Malnourished animals ingested a greater quantity of palatable food. There was a decrease in palatable diet consumption in both the control and malnourished groups after the application of D1 and D2 agonists; however, the anorexic effect of the D1 agonist was understated in malnourished animals. Perinatal malnutrition increases the motivational behavior of the animal when food reward is used. There was an increase in gene expression of the DRD1a receptor in the ventral striatum of malnourished animals, and there were no significant changes concerning the DRD2 receptor.ConclusionsPerinatal protein malnutrition stimulates hedonic control of eating behavior by promoting increased intake of palatable foods, possibly due to increased expression of dopamine receptor DRD1a in the ventral striatum

MARTA: A high-energy cosmic-ray detector concept with high-accuracy muon measurement

A new concept for the direct measurement of muons in air showers is presented. The concept is based on resistive plate chambers (RPCs), which can directly measure muons with very good space and time resolution. The muon detector is shielded by placing it under another detector able to absorb and measure the electromagnetic component of the showers such as a water-Cherenkov detector, commonly used in air shower arrays. The combination of the two detectors in a single, compact detector unit provides a unique measurement that opens rich possibilities in the study of air showers.Comment: 11 page

Risk factors for infection, predictors of severe disease, and antibody response to COVID-19 in patients with inflammatory rheumatic diseases in Portugal: a multicenter, nationwide study

Copyright © 2022 Cruz-Machado, Barreira, Bandeira, Veldhoen, Gomes, Serrano, Duarte, Rato, Miguel Fernandes, Garcia, Pinheiro, Bernardes, Madeira, Miguel, Torres, Bento Silva, Pestana, Almeida, Mazeda, Cunha Santos, Pinto, Sousa, Parente, Sequeira, Santos, Fonseca and Romão. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Objective: To identify risk factors for SARS-CoV-2 infection and for severe/critical COVID-19, and to assess the humoral response after COVID-19 in these patients. Methods: Nationwide study of adult patients with inflammatory RMDs prospectively followed in the Rheumatic Diseases Portuguese Register-Reuma.pt-during the first 6 months of the pandemic. We compared patients with COVID-19 with those who did not develop the disease and patients with mild/moderate disease with those exhibiting severe/critical COVID-19. IgG antibodies against SARS-CoV-2 were measured ≥3 months after infection and results were compared with matched controls. Results: 162 cases of COVID-19 were registered in a total of 6,363 appointments. Patients treated with TNF inhibitors (TNFi; OR = 0.160, 95% CI 0.099-0.260, P < 0.001) and tocilizumab (OR 0.147, 95% CI 0.053-0.408, P < 0.001) had reduced odds of infection. Further, TNFi tended to be protective of severe and critical disease. Older age, major comorbidities, and rituximab were associated with an increased risk of infection and worse prognosis. Most patients with inflammatory RMDs (86.2%) developed a robust antibody response. Seroconversion was associated with symptomatic disease (OR 13.46, 95% CI 2.21-81.85, P = 0.005) and tended to be blunted by TNFi (OR 0.17, 95% CI 0.03-1.05; P = 0.057). Conclusions: TNFi and tocilizumab reduced the risk of infection by SARS-CoV-2. Treatment with TNFi also tended to reduce rates of severe disease and seroconversion. Older age, general comorbidities and rituximab were associated with increased risk for infection and worse prognosis, in line with previous reports. Most patients with RMDs developed a proper antibody response after COVID-19, particularly if they had symptomatic disease.We acknowledge the generous sharing of the expression constructs by Dr. Florian Krammer, Icahn School of Medicine at Mount Sinai, New York, USA [Development of SARS-CoV-2 reagents was partially supported by the NIAID Centers of Excellence for Influenza Research and Surveillance (CEIRS) contract HHSN272201400008C] and the protein production by Drs. Paula Alves and Rute Castro at Instituto de Biologia Experimental e Tecnológica (iBET) Oeiras, Portugal as part of the Serology COVID consortium.info:eu-repo/semantics/publishedVersio

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

H-band discovery of additional second-generation stars in the Galactic bulge globular cluster NGC 6522 as observed by APOGEE and Gaia

We present an elemental abundance analysis of high-resolution spectra for five giant stars spatially located within the innermost regions of the bulge globular cluster NGC 6522 and derive Fe, Mg, Al, C, N, O, Si, and Ce abundances based on H-band spectra taken with the multi-object APOGEE-north spectrograph from the SDSS-IV Apache Point Observatory Galactic Evolution Experiment (APOGEE) survey. Of the five cluster candidates, two previously unremarked stars are confirmed to have second-generation (SG) abundance patterns, with the basic pattern of depletion in C and Mg simultaneous with enrichment in N and Al as seen in other SG globular cluster populations at similar metallicity. In agreement with the most recent optical studies, the NGC 6522 stars analyzed exhibit (when available) only mild overabundances of the s-process element Ce, contradicting the idea that NGC 6522 stars are formed from gas enriched by spinstars and indicating that other stellar sources such as massive AGB stars could be the primary polluters of intra-cluster medium. The peculiar abundance signatures of SG stars have been observed in our data, confirming the presence of multiple generations of stars in NGC 6522