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Copyright of Revista Paulista de Pediatria is the property of Assocoacao de Pediatria de Sao Paulo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This article investigates jaw-finger coordination in a task involving pointing to a target while naming it with a 'CVCV (e.g., /'papa/) versus CV'CV (e.g., /pa'pa/) word. According to the authors' working hypothesis, the pointing apex (gesture extremum) would be synchronized with the apex of the jaw-opening gesture corresponding to the stressed syllable. Method: Jaw and finger motions were recorded using Optotrak (Northern Digital, Waterloo, Ontario, Canada). The effects of stress position on jaw-finger coordination were tested across different target positions (near vs. far) and different consonants in the target word (/t/ vs. /p/). Twenty native Portuguese Brazilian speakers participated in the experiment (all conditions). Results: Jaw response starts earlier, and finger-target alignment period is longer for CV'CV words than for 'CVCV ones. The apex of the jaw-opening gesture for the stressed syllable appears synchronized with the onset of the finger-target alignment period (corresponding to the pointing apex) for 'CVCV words and with the offset of that period for CV'CV words. Conclusions: For both stress conditions, the stressed syllable occurs within the finger-target alignment period because of tight finger-jaw coordination. This result is interpreted as evidence for an anchoring of the speech deictic site (part of speech that shows) in the pointing gesture.

Brazil annually produces around 43 million tons of fruits and vegetables. Therefore, large amounts of pesticides are needed to grow these foods. The use of unauthorized or indiscriminate pesticides can lead to the adherence of residues of these compounds to the product in a concentration above the maximum residue limit (MRL). Pesticide residues (PRs) monitoring is a continuous challenge due to several factors influencing the detection of these compounds in the food matrix. Currently, several adaptations to conventional techniques have been developed to minimize these problems. This systematic review presents the main information obtained from 52 research articles, taken from five databases, on changes and advances in Brazil in sample preparation methods for determining PRs in fruits and vegetables in the last nine years. We cover the preexisting ones and some others that might be suitable alternatives approaches. In addition, we present a brief discussion on the monitoring of PRs in different Brazilian regions, and we found that residues belonging to the organophosphate and pyrethroid classes were detected more frequently. Approximately 67% of the residues detected are of irregular use in 28 types of fruits and vegetables commonly consumed and exported by Brazil. [ABSTRACT FROM AUTHOR]

Copyright of Revista Gaucha de Enfermagem is the property of Revista Gaucha de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Essential oils (EOs) are commercially important products, sources of compounds with antioxidant and antimicrobial activities considered indispensable for several fields, such as the food industry, cosmetics, perfumes, pharmaceuticals, sanitary and agricultural industries. In this context, this systematic review and meta‐analysis, a novel approach will be presented using chemometric tools to verify and recognize patterns of antioxidant, antibacterial, and antifungal activities of EOs according to their geographic, botanical, chemical, and microbiological distribution. Scientific papers were selected following the Preferred Reporting Items for Systematic Review and Meta‐Analyses statement flow diagram, and the data were evaluated by the self‐organizing map and hierarchical cluster analysis. Overall, this novel approach allowed us to draw an overview of antioxidants and antimicrobials activities of EOs reported in 2019, through 585 articles evaluated, obtaining a dataset with more than 10,000 data, distributed in more than 80 countries, 290 plant genera, 150 chemical compounds, 30 genera of bacteria, and 10 genera of fungi. The networks for geographic, botanical, chemical, and microbiological distribution indicated that Brazil, Asia, the botanical genus Thymus, species Thymus vulgaris L. "thyme," the Lamiaceae family, limonene, and the oxygenated monoterpene class were the most representative in the dataset, while the species Escherichia coli and Candida albicans were the most used to assess the antimicrobial activity of EOs. This work can be seen as a guide for the processing of metadata using a novel approach with non‐conventional statistical methods. However, this preliminary approach with EOs can be extended to other sources or areas of food science. [ABSTRACT FROM AUTHOR]

Copyright of Revista Góndola, Enseñanza y Aprendizaje de las Ciencias is the property of Gondola, Ensenanza y Aprendizaje de las Ciencias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Gaucha de Enfermagem is the property of Revista Gaucha de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Brazilian Journal of Occupational Therapy / Cadernos Brasileiros de Terapia Ocupacional is the property of Cadernos de Terapia Ocupacional da UFSCar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The complexity and practical importance of insect outbreaks have made the problem of predicting outbreaks a focus of recent research. We propose the Pattern-Based Prediction (PBP) method for predicting population outbreaks. It uses information on previous time series values that precede an outbreak event as predictors of future outbreaks, which can be helpful when monitoring pest species. We illustrate the methodology using simulated datasets and an aphid time series obtained in wheat crops in Southern Brazil. We obtained an average test accuracy of 84.6 % in the simulation studies implemented with stochastic models and 95.0 % for predicting outbreaks using a time series of aphids in wheat crops in Southern Brazil. Our results show the PBP method's feasibility in predicting population outbreaks. We benchmarked our results against established state-of-the-art machine learning methods: Support Vector Machines, Deep Neural Networks, Long Short Term Memory and Random Forests. The PBP method yielded a competitive performance associated with higher true-positive rates in most comparisons while providing interpretability rather than being a black-box method. It is an improvement over current state-of-the-art machine learning tools, especially by non-specialists, such as ecologists aiming to use a quantitative approach for pest monitoring. We provide the implemented PBP method in Python through the pypbp package. • We propose the Pattern-Based Prediction (PBP) method for predicting population outbreaks. • We illustrate the methodology using simulated datasets and an time series of aphid counts in wheat crops in Southern Brazil. • Our results show the PBP method's feasibility in predicting population outbreaks. • The PBP method yielded a competitive performance while providing interpretability rather than being a black-box method. • We provide the implemented PBP method in Python through the pypbp package. [ABSTRACT FROM AUTHOR]

Copyright of Ciencia, Cuidado e Saude is the property of Universidade Estadual de Maringa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Brazil is the third largest exporter of fruits and vegetables in the world and, consequently, uses large amounts of pesticides. Food contamination with pesticide residues (PRs) is a serious concern, especially in developing countries. Several research reports revealed that some Brazilian farmers spray pesticides on fruits and vegetables in large quantities, generating PRs after harvest. Thus, ingestion of food contaminated with PRs can cause adverse health effects. Based on information obtained through a systematic review of essential information from 33 articles, we studied the assessment of potential health risks associated with fruit and vegetable consumption in children and adults from Brazilian states. This study identified 111 PRs belonging to different chemical groups, mainly organophosphates and organochlorines, in 26 fruit and vegetable samples consumed and exported by Brazil. Sixteen of these PRs were above the Maximum Residue Limit (MRL) established by local and international legislation. We did not identify severe acute and chronic dietary risks, but the highest risk values were observed in São Paulo and Santa Catarina, associated with the consumption of tomatoes and sweet peppers due to the high concentrations of organophosphates. A high long-term health risk is associated with the consumption of oranges in São Paulo and grapes in Bahia due to chlorothalonil and procymidone. We also identified that 26 PRs are considered carcinogenic by the United States Environmental Protection Agency (US EPA), and the carcinogenic risk analysis revealed no severe risk in any Brazilian state investigated due to the cumulative hazard index (HI) < 1. However, the highest HI values were in São Paulo due to acephate and carbaryl in sweet pepper and in Bahia due to dichlorvos. This information can help regulatory authorities define new guidelines for pesticide residue limits in fruits and vegetables commonly consumed and exported from Brazil and monitor the quality of commercial formulations. [Display omitted] • We identified 111 pesticide residues, mainly organophosphates and organochlorines. • Sixteen residues were above the limit allowed by legislation. • A serious non-cancerous long-term health risk has been evidenced. • Twelve carcinogenic PRs were found in thirteen Brazilian states. • A low carcinogenic risk was evidenced for children and adults in Brazil. [ABSTRACT FROM AUTHOR]

Copyright of Ciencia, Cuidado e Saude is the property of Universidade Estadual de Maringa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Display omitted] • A total of 69 compounds were detected in the different citrus peel flours. • Twenty four major compounds represented 93–99% of total chromatogram peak areas. • Terpenic compounds were predominant in all evaluated citrus peel flours. • Limonene, β-myrcene, linalool, α-pinene and valencene were detected in all citrus. • Volatile compounds in citrus peel flours characterize unique volatolomic signatures. Citrus fruit peel comprises a pleasant mix of volatile compounds together with fibers, nutrients, and bioactive compounds. Therefore, it has great potential for use as a food ingredient. Studies evaluating the volatile composition of citrus peel flours are limited for most citruses. The goal of this study was to characterize, by HS-SPME/GC–MS, the volatile profile of citrus peel flours made from fruits commonly grown in Brazil. Two composite samples of ten types of citrus peel flours from consecutive harvests were evaluated. 69 volatile compounds were assigned, 49 in Tahiti acid lime, 49 in Sicilian lemon, 37 in Persian lime, 34 in Italian tangerine and oval kumquat, 33 in Valencia orange, 32 in Baia orange and round kumquat, 28 in Blood-of-Mombuca orange and 26 in Lima orange. 26 major compounds represented 93–99% of the total chromatogram peak area. Terpenic compounds were predominant in all samples, especially monoterpenes (about 48–97% of the total chromatogram peak area), while lower proportions of aldehydes (0.2–16.1%), monoterpene alcohols (0.4–11.8%) and esters (0.0–7.7%) were observed. Even though a few compounds like limonene, β-myrcene, linalool, α-pinene and valencene were detected in all citrus, volatile compounds followed specific patterns in the different citruses, with a clear distinction among them, especially between lemon flours and the remaining flours. The variety of volatile profiles and singular specific volatolomic signatures in citrus peels can be explored for different applications related to food flavoring and preservation, and promotion of good health. These aspects should be thoroughly investigated in future studies. [ABSTRACT FROM AUTHOR]

Design of Experiments (DoE) is a statistical tool used to plan and optimize experiments and is seen as a quality technology to achieve products excellence. Among the experimental designs (EDs), the mixture designs (MDs) stand out, being widely applied to improve conditions for processing, developing, or formulating novel products. This review aims to provide useful updated information on the capacity and diversity of MDs applications for the industry and scientific community in the areas of food, beverage, and pharmaceutical health. Recent works were selected following the Preferred Reporting Items for Systematic Review and Meta-Analyses statement (PRISMA) flow diagram. Data analysis was performed by self-organizing map (SOM) to check and understand which fields of application/countries/continents are using MDs. Overall, the SOM indicated that Brazil presented the largest number of works using MDs. Among the continents, America and Asia showed a predominance in applications with the same amount of work. Comparing the MDs application areas, the analysis indicated that works are prevalent in food and beverage science in the American continent, while in Asia, health science prevails. MDs were more used to develop functional/nutraceutical products and the formulation of drugs for several diseases. However, we briefly describe some promising research fields in that MDs can still be employed. [ABSTRACT FROM AUTHOR]

Objectives: To assess the effect of a nutrition education intervention on nutritional factors and oxidative stress during treatment of breast cancer. Design: Nonrandomized clinical trial conducted in 2010-2011, including an evaluation at baseline and after 12 months. Participants: Women from Brazil who had breast cancer, divided into an intervention group (IG) (n = 18) and comparison group (n = 75). Intervention: To increase intake of fruits and vegetables and reduce red and processed meats, via telephone and printed materials. Main Outcome Measures: Food intake, anthropometry, and levels of lipid hydroperoxide, carbonyl proteins, reduced glutathione, and ferric reducing antioxidant power. Analyses: Chi-square, Mann--Whitney or t tests for baseline data; Wilcoxon or paired t tests for intragroup outcomes, linear regression models, and Bonferroni multiplicity adjustment. Results: The researchers observed an increase in fruit and vegetable intake, reduction in red and processed meat intake, no change in body weight, and an increase in glutathione in the IG over the comparison group. However, after Bonferroni adjustment, only the consumption of fruits and vegetables and fruit was significantly higher in IG. Conclusions and Implications: This study presents improved dietary changes after a theory-driven nutrition education intervention. Although the sample size is small, it has proven to be clinically relevant. [ABSTRACT FROM AUTHOR]

Hepatitis B virus (HBV) infection is widespread and it is considered a major health problem in the world. HBV is classified into genotypes and subgenotypes. HBV genotype D (HBV-D) has been detected worldwide with high prevalence in some specific regions from Europe and South America. In Brazil, this genotype is very frequent in the South region and its introduction and dissemination have been associated with European immigration (mainly Italian). The present study aimed to trace back the introduction and dissemination of HBV-D in South Brazil. Fifty-two chronic hepatitis B patients from two cities with an early history of Italian immigration in South Brazil were selected for the present study. HBV-DNA was detected, quantified and a partial genomic region (S/P overlapped genes) was amplified by PCR and sequenced for the determination of HBV genotypes/subgenotypes. HBV complete genome sequences of some selected samples were further obtained. Bayesian coalescent analyses were performed to estimate the HBV-D evolutionary dynamics. Phylogenetic analysis demonstrated the occurrence of three genotypes according the tree topology: HBV-D (n = 49; 94.2%), HBV-A (n = 2; 3.9%) and HBV-G (n = 1; 1.9%). In addition, HBV-D presented three subgenotypes: HBV-D3 (n = 39; 79.6%), HBV-D2 (n = 8; 16.3%), and HBV-D1 (n = 2; 4.1%). The Bayesian coalescent analysis demonstrated that the HBV-D was introduced in the 20th century. HBV-D3 was the first to be introduced in South Brazil, probably between 1904 and 1942. HBV-D2 and HBV-D1 were introduced later; HBV-D2 between 1946 and 1953 and HBV-D1 between 1954 and 1969. HBV-D3 spread at a high rate from the 1920s to the 1980s, while HBV-D2 showed a slower growth from the 1960s to the 1990s and HBV-D1 infections demonstrated low and constant population size across time. After the 2000s, a stationary growth was detected for all these three-D subgenotypes. HBV-D showed a high prevalence in South Brazil and this is possibly associated with the first introduction and dissemination of HBV-D3 at the beginning of the 20th century. • We reconstructed the evolutionary dynamic of the HBV-D subgenotypes in South Brazil. • The frequency of HBV subgenotypes D3, D2, and D1 were 79.6%, 16.3%, and 4.1%, respectively. • The Bayesian coalescent analysis showed that HBV-D3 spread to South Brazil at the beginning of the 20th century. • HBV-D2/HBV-D1 were introduced in the middle of the 20th century. • The effective number of infections increased between the 1920s and 1980s. [ABSTRACT FROM AUTHOR]