Abstract This study aimed to analyze the socio-environmental characteristics, executive and nutritional functions in children aged 6 to 7 years, from public schools in Alagoas, Brazil. A ...quantitative, cross-sectional and descriptive study was performed involving 64 children of the mentioned age group, from public schools located in Alagoas: Maceió, on the coast; Major Isidoro, in the hinterland and Palmeira dos Índios, in the country. Such analyzes were made through the application of neuropsychological tests and anthropometric assessment with children and food and socio-environmental surveys with their parents. As for the type of housing, 100% were made of masonry, with a bathroom present in 98.4%. All children reported with the habit of bathing in the river / lagoon, presented some pathology. There was no significant difference between cities in terms of the sociodemographic characteristics evaluated, with the same result occurring with the factors associated with the occurrence of diseases in children. The subtests of WISC-IV, were below the average in all municipalities, and the TAC and SCC were classified within the average. However, even though the ranking were divided between below average and average, it is possible to identify from the subtests of WISC-IV, that the general IQ showed a cognitive level below the average. There was also no significant difference in the anthropometric assessment (weight, height, BMI and IMCI) between the evaluated students. The average weight was 23.3 kg to 25 kg, the height between 1.23 m to 1.24 m, the BMI between 16.4 to 17; the IMCI from 2.8 to 3.0. Children were classified within the average. Regarding micronutrients (Ca, Fe, K, Mg and Na, and vitamins A, C, D, B1, B9 and B12) and calories, there was also no significant difference between the cities evaluated. The same occurred with macronutrients (proteins, carbohydrates and lipids). This study showed that in general there was no difference between the students of the three municipalities. Probably, even though they are all public schools and from different cities, children have similar social conditions.
Resumo Este estudo teve como objetivo analisar as características socioambientais, funções executivas e nutricionais de crianças de 6 a 7 anos, de escolas públicas de Alagoas, Brasil. Foi realizado um estudo quantitativo, transversal e descritivo envolvendo 64 crianças, na referida faixa etária, de escolas públicas localizadas em Alagoas: Maceió, no litoral; Major Isidoro, no sertão e Palmeira dos Índios, no país. Tais análises foram feitas por meio da aplicação de testes neuropsicológicos e avaliação antropométrica com crianças e inquéritos alimentares e socioambientais com seus pais. Quanto ao tipo de habitação, 100% eram de alvenaria, com banheiro presente em 98,4%. Todas as crianças relataram o hábito de tomar banho no rio / lagoa, apresentavam alguma patologia. Não houve diferença significativa entre os municípios quanto às características sociodemográficas avaliadas, ocorrendo o mesmo resultado com os fatores associados à ocorrência de doenças em crianças. Os subtestes do WISC-IV, ficaram abaixo da média em todos os municípios, e o TAC e SCC foram classificados dentro da média. Porém, mesmo que a classificação tenha sido dividida entre abaixo da média e média, é possível identificar a partir dos subtestes do WISC-IV, que o QI geral apresentou um nível cognitivo abaixo da média. Também não houve diferença significativa na avaliação antropométrica (peso, altura, IMC e AIDPI) entre os alunos avaliados. O peso médio foi de 23,3 kg a 25 kg, a altura entre 1,23 ma 1,24 m, o IMC entre 16,4 a 17; A AIDPI de 2.8 a 3.0. As crianças foram classificadas dentro da média. Em relação aos micronutrientes (Ca, Fe, K, Mg e Na e vitaminas A, C, D, B1, B9 e B12) e calorias, também não houve diferença significativa entre os municípios avaliados. O mesmo ocorreu com os macronutrientes (proteínas, carboidratos e lipídios). Este estudo mostrou que de maneira geral não houve diferença entre os alunos dos três municípios. Provavelmente, mesmo sendo todas escolas públicas e de diferentes cidades, as crianças têm condições sociais semelhantes.
Electrocardiographic evaluation of baby opossum (Didelphis albiventris) Cavalcanti, E.A.N.L.D.; Cavalcanti, G.A.O.; França, R.T.
Arquivo Brasileiro de Medicina Veterinária e Zootecnia/Arquivo brasileiro de medicina veterinária e zootecnia,
08/2022, Letnik:
74, Številka:
4
Journal Article
Abstract This integrative literature review study analyzes the findings of the last 5 years of the parasite Angiostrongylus cantonensis. It is known that this nematode is found in the pulmonary ...arteries of rats, where it remains as a definitive host. From mice, the cycle spreads to animals, such as snails, which in contact with humans can trigger the disease. In humans, the parasite causes several neurological, abdominal manifestations and mainly meningitis. Based on the review of studies, its epidemiology shows worldwide distribution, although there are endemic cases for this parasite, such as asian countries. Laboratory findings generally showed altered CSF with turbidity, increased protein and eosinophilia, which generated meningeal signs in the patient, moreover MRI exams showed multiple alterations. Rare findings of the nematode in the eyeball, lung and signs of peritoneal inflammation were reported, which requires further studies to understand the whole pathophysiology. Finally, conservative treatment based on anthelmintics and anti-inflammatories brought good responses, although there are reports of deaths, which demonstrates the importance in the prevention and therapy of this disease.
Resumo Este estudo de revisão integrativa da literatura analisa os achados dos últimos 5 anos do parasita Angiostrongylus cantonensis. Sabe-se que esse nematoide é encontrado nas artérias pulmonares de ratos, onde permanece como hospedeiro definitivo. Dos camundongos, o ciclo se espalha para os animais, como os caracóis, que em contato com humanos podem desencadear a doença. Em humanos, o parasita causa diversas manifestações neurológicas, abdominais e principalmente meningite. Com base na revisão de estudos, sua epidemiologia mostra distribuição mundial, embora existam casos endêmicos para esse parasito, como países asiáticos. Os achados laboratoriais geralmente mostraram LCR alterado com turbidez, aumento de proteínas e eosinofilia, o que gerou sinais meníngeos nos pacientes, além disso, os exames de ressonância magnética mostraram múltiplas alterações. Foram relatados achados raros do nematoide no globo ocular, pulmão e sinais de inflamação peritoneal, o que requer mais estudos para o entendimento de toda a fisiopatologia. Por fim, o tratamento conservador à base de anti-helmínticos e anti-inflamatórios trouxe boas respostas, embora haja relatos de óbitos, o que demonstra a importância na prevenção e terapia dessa doença.
Mammary tumors are among the most frequent neoplasms in female dogs, but the strategies employed in animal treatment are limited. In human medicine, hormone manipulation is used in cancer therapy. ...Tamoxifen citrate is a selective inhibitor of oestrogen receptors and exerts a potent anti-oestrogen effect on the mammary gland. The aim of this study was to evaluate the adverse effects when exposing healthy female dogs to tamoxifen.
Tamoxifen was administered for 120 days at a dose of 0.5 or 0.8 mg/kg/day to either intact or spayed female dogs. The effects were assessed through clinical examination, haematology, serum biochemistry, ophthalmology and bone marrow aspirate examination. Ovariohysterectomy was performed and the uterus examined by histopathology.
Vulva oedema and purulent vaginal discharge developed with 10 days of tamoxifen exposure in all groups. Pyometra was diagnosed after around 90 days of exposure in intact females with frequencies increasing during the following 30 days of exposure. Up to 50% of dogs within the groups developed retinitis but none of the dogs had signs of reduced visual acuity. The prevalence of retinitis in each group was similar after 120 days of exposure. Haematological, biochemical and bone marrow changes were not observed. Due to the high risk of developing pyometra after prolonged exposure to tamoxifen, only spayed animals should be given this medication.
A dose of 0.8 mg tamoxifen/kg body weight/day is recommended when treating tamoxifen-responsive canine mammary tumors. Due to the high risk of developing pyometra, ovariohysterectomy is recommended.
Objective The purpose of this research was to provide further evidence to demonstrate the precision and accuracy of maxillofacial linear and angular measurements obtained by cone-beam computed ...tomography (CBCT) images. Study design The study population consisted of 15 dry human skulls that were submitted to CBCT, and 3-dimensional (3D) images were generated. Linear and angular measurements based on conventional craniometric anatomical landmarks, and were identified in 3D-CBCT images by 2 radiologists twice each independently. Subsequently, physical measurements were made by a third examiner using a digital caliper and a digital goniometer. Results The results demonstrated no statistically significant difference between inter- and intra-examiner analysis. Regarding accuracy test, no statistically significant differences were found of the comparison between the physical and CBCT-based linear and angular measurements for both examiners ( P = .968 and .915, P = .844 and .700, respectively). Conclusions 3D-CBCT images can be used to obtain dimensionally accurate linear and angular measurements from bony maxillofacial structures and landmarks.
This is a study of the annual and interannual variability of regional rainfall produced by the Center for Weather Forecasts and Climate Studies/Center for Ocean, Land and Atmospheric Studies ...(CPTEC/COLA) atmospheric global climate model. An evaluation is made of a 9-member ensemble run of the model forced by observed global sea surface temperature (SST) anomalies for the 10-year period 1982-1991. The Brier skill score and, Relative Operating Characteristics (ROC) are used to assess the predictability of rainfall and to validate rainfall simulations, in several regions world wide. In general, the annual cycle of precipitation is well simulated by the model for several continental and oceanic regions in the tropics and mid latitudes. Interannual variability of rainfall during the peak rainy season is realistically simulated in Northeast Brazil, Amazonia, central Chile, and southern Argentina-Uruguay, Eastern Africa, and tropical Pacific regions, where the model shows good skill. Some regions, such as northwest Peru-Ecuador, and southern Brazil exhibit a realistic simulation of rainfall anomalies associated with extreme El Niño warming conditions, while in years with neutral or La Niña conditions, the agreement between observed and simulated rainfall anomalies is not always present. In the monsoon regions of the world and in southern Africa, even though the model reproduces the annual cycle of rainfall, the skill of the model is low for the simulation of the interannual variability. This is indicative of mechanisms other than the external SST forcing, such as the effect of land-surface moisture and snow feedbacks or the representation of sub-grid scale processes, indicating the important role of factors other than external boundary forcing. The model captures the well-known signatures of rainfall anomalies of El Niño in 1982-83 and 1986-87, indicating its sensitivity to strong external forcing. In normal years, internal climate variability can affect the predictability of climate in some regions, especially in monsoon areas of the world.PUBLICATION ABSTRACT
Chromobacterium violaceum associated with bubaline mastitis Ferreira, M.N.S.; Borges, J.M.; Silva, J.G. ...
Arquivo Brasileiro de Medicina Veterinária e Zootecnia/Arquivo brasileiro de medicina veterinária e zootecnia,
2023, Letnik:
75, Številka:
6
Journal Article
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we ...demonstrate the impact of lung segmentation in COVID-19 identification using CXR images and evaluate which contents of the image influenced the most. Semantic segmentation was performed using a U-Net CNN architecture, and the classification using three CNN architectures (VGG, ResNet, and Inception). Explainable Artificial Intelligence techniques were employed to estimate the impact of segmentation. A three-classes database was composed: lung opacity (pneumonia), COVID-19, and normal. We assessed the impact of creating a CXR image database from different sources, and the COVID-19 generalization from one source to another. The segmentation achieved a Jaccard distance of 0.034 and a Dice coefficient of 0.982. The classification using segmented images achieved an F1-Score of 0.88 for the multi-class setup, and 0.83 for COVID-19 identification. In the cross-dataset scenario, we obtained an F1-Score of 0.74 and an area under the ROC curve of 0.9 for COVID-19 identification using segmented images. Experiments support the conclusion that even after segmentation, there is a strong bias introduced by underlying factors from different sources.
The sea surface temperature (SST) is an environmental indicator closely related to climate, weather, and atmospheric events worldwide. Its forecasting is essential for supporting the decision of ...governments and environmental organizations. Literature has shown that single machine learning (ML) models are generally more accurate than traditional statistical models for SST time series modeling. However, the parameters tuning of these ML models is a challenging task, mainly when complex phenomena, such as SST forecasting, are addressed. Issues related to misspecification, overfitting, or underfitting of the ML models can lead to underperforming forecasts. This work proposes using hybrid systems (HS) that combine (ML) models using residual forecasting as an alternative to enhance the performance of SST forecasting. In this context, two types of combinations are evaluated using two ML models: support vector regression (SVR) and long short-term memory (LSTM). The experimental evaluation was performed on three datasets from different regions of the Atlantic Ocean using three well-known measures: mean square error (MSE), mean absolute percentage error (MAPE), and mean absolute error (MAE). The best HS based on SVR improved the MSE value for each analyzed series by Formula: see text, Formula: see text, and Formula: see text compared to its respective single model. The HS employing the LSTM improved Formula: see text, Formula: see text, and Formula: see text concerning the single LSTM model. Compared to literature approaches, at least one version of HS attained higher accuracy than statistical and ML models in all study cases. In particular, the nonlinear combination of the ML models obtained the best performance among the proposed HS versions.
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