Desenvolvimento de um bioprocesso para beneficiamento da torta de castanha do BRASIL (Bertholletia excelsa)

A castanha-do-pará, ou castanha-do-Brasil (Bertholletia excelsa H.B.K.) é cultivada em toda a Amazônia e se tornou um dos principais produtos comerciais da Região Norte do Brasil, apresentando uma amêndoa de alto valor energético, com cerca de 60 a 70% de óleo, 15 a 20% de proteínas, sendo estas, uma das mais ricas fontes de aminoácidos sulfurados (8% cisteína e 18% metionina) e selênio, que tem função antioxidante, aumentando assim o interesse do mercado consumidor e de pesquisadores. As amêndoas quebradas ou com algum defeito, geralmente 10% do total, têm seu valor comercial reduzido em 60%, e são utilizadas principalmente por pequenas indústrias para extração do óleo, gerando como subproduto uma torta, rica em proteínas, que geralmente era utilizada como ração animal. Atualmente a torta de castanha-do-pará tem tido aplicação no enriquecimento e preparo de alimentos, como biscoitos, doces, farinhas, pães e outros. Para valorização deste subproduto há alguns estudos que propõem o isolamento, modificação (acetilação) ou concentração da globulina, ou excelsina, uma das principais proteínas da castanha-do-pará, incorporando aos alimentos melhores características funcionais, como emulsificação, viscosidade e solubilidade. O objetivo deste trabalho é promover uma valorização da torta da castanha-do-pará através de um processo enzimático envolvendo enzimas celulolíticas, amilolíticas e proteolíticas, obtendo produtos protéicos, como concentrados, isolados e hidrolisados, ricos em aminoácidos e selênio, de grande interesse para indústria de cosméticos, para formulação de cremes hidratantes e condicionadores capilares, e na indústria alimentícia, como flavorizantes e emulsificantes. Em uma escala piloto, 70% da torta de castanha foram convertidos em produtos, sendo que destes 27% de produtos protéicos (com concentrações de 12% p/p de albumina e 27% p/p de globulina, 7,8% p/p de hidrolisado protéico), 10% de óleo recuperado e 33% de fase emulsionada, que geralmente apresentam uma concentração protéica de 50% p/p. As análises foram feitas, em sua maioria, baseados em métodos espectrofotométricos, como o Lowry, para a determinação de proteínas; Somogyi, para determinação de açúcares redutores, e outros, como o teor de sólidos totais e método micro-Kjeldahl, para determinação de proteínas em amostras sólidas

Simple, Compact, and Multiband Frequency Selective Surfaces Using Dissimilar Sierpinski Fractal Elements

This paper presents a design methodology for frequency selective surfaces (FSSs) using metallic patches with dissimilar Sierpinski fractal elements. The transmission properties of the spatial filters are investigated for FSS structures composed of two alternately integrated dissimilar Sierpinski fractal elements, corresponding to fractal levels k=1, 2, and 3. Two FSS prototypes are fabricated and measured in the range from 2 to 12 GHz to validate the proposed fractal designs. The FSSs with dissimilar Sierpinski fractal patch elements are printed on RT/Duroid 6202 high frequency laminate. The experimental characterization of the FSS prototypes is accomplished through two different measurement setups composed of commercial horns and elliptical monopole microstrip antennas. The obtained results confirm the compactness and multiband performance of the proposed FSS geometries, caused by the integration of dissimilar fractal element. In addition, the proposed FSSs exhibited frequency tuning ability on the multiband frequency responses. Agreement between simulated and measured results is reported

Arginase 1 deficiency presenting as complicated hereditary spastic paraplegia

INTRODUCTION: Argininemia or arginase deficiency is a metabolic disorder caused by pathogenic variants in ARG1 and consists of a variable association of progressive spastic paraplegia, intellectual disability, and seizures. Hereditary spastic paraplegia (HSP) is a group of inherited diseases whose main feature is a progressive gait disorder characterized by lower limb spasticity. This study presents 7 patients with arginase 1 deficiency from 6 different families, all with an initial diagnosis of complicated HSP. METHODS: We evaluated the clinical data of 7 patients belonging to six independent families who were diagnosed with hyperargininemia in a neurogenetics outpatient clinic. RESULTS: All patients had lower limb spasticity and six had global developmental delay. Five individuals had intellectual disability and two had epilepsy. Psychiatric abnormalities were seen in two patients. In two participants of this study, MRI disclosed thinning of the corpus callosum. Molecular diagnosis was made by whole exome sequencing. All variants were present in homozygosis; we identified two novel missense variants, one novel frameshift variant, and one previously published missense variant. DISCUSSION: Clinical diagnosis of early onset complicated hereditary spastic paraplegia was made in all patients. Two patients were initially suspected of having SPG11 due to thinning of the corpus callosum. As argininemia may present with a highly penetrant phenotype of spastic paraplegia associated with additional symptoms, this disease may represent a specific entity amongst the complicated HSPs

Real-time precision in 3D concrete printing: controlling layer morphology via machine vision and learning algorithms

3D concrete printing (3DCP) requires precise adjustments to parameters to ensure accurate and high-quality prints. However, despite technological advancements, manual intervention still plays a prominent role in this process, leading to errors and inconsistencies in the final printed part. To address this issue, machine learning vision models have been developed and utilized to analyze captured images and videos of the printing process, detecting defects and deviations. The data collected enable automatic adjustments to print settings, improving quality without the need for human intervention. This work first examines various techniques for real-time and offline corrections. It then introduces a specialized computer vision setup designed for real-time control in robotic 3DCP. Our main focus is on a specific aspect of machine learning (ML) within this system, called speed control, which regulates layer width by adjusting the robot motion speed or material flow rate. The proposed framework consists of three main elements: (1) a data acquisition and processing pipeline for extracting printing parameters and constructing a synthetic training dataset, (2) a real-time ML model for parameter optimization, and (3) a depth camera installed on a customized 3D-printed rotary mechanism for close-range monitoring of the printed layer

Clinical Features and Inflammatory Markers in Autoimmune Encephalitis Associated With Antibodies Against Neuronal Surface in Brazilian Patients

Acute encephalitis is a debilitating neurological disorder associated with brain inflammation and rapidly progressive encephalopathy. Autoimmune encephalitis (AE) is increasingly recognized as one of the most frequent causes of encephalitis, however signs of inflammation are not always present at the onset which may delay the diagnosis. We retrospectively assessed patients with AE associated with antibodies against neuronal surface diagnosed in reference centers in Northeast of Brazil between 2014 to 2017. CNS inflammatory markers were defined as altered CSF (pleocytosis >5 cells/mm3) and/or any brain parenchymal MRI signal abnormality. Thirteen patients were evaluated, anti-NMDAR was the most common antibody found (10/13, 77%), followed by anti-LGI1 (2/13, 15%), and anti-AMPAR (1/13, 7%). Median time to diagnosis was 4 months (range 2–9 months). Among these 13 patients, 6 (46.1%) had inflammatory markers and when compared to those who did not present signs of inflammation, there were no significant differences regarding the age of onset, time to diagnosis and modified Rankin scale score at the last visit. Most of the patients presented partial or complete response to immunotherapy during follow-up. Our findings suggest that the presence of inflammatory markers may not correlate with clinical presentation or prognosis in patients with AE associated with antibodies against neuronal surface. Neurologists should be aware to recognize clinical features of AE and promptly request antibody testing even without evidence of inflammation in CSF or MRI studies

Índices biofísicos da Bacia Hidrográfica do rio Sucuru-PB utilizando o Google Earth Engine

The Sucuru River Basin covers an area of 1,652.5 km² and requires efficient monitoring of its natural resources. Remote Sensing (RS) has emerged as a crucial tool for this purpose. This study aimed to analyze the dynamics of the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) in relation to variations in rainfall during the period from 2001 to 2019. To carry out this analysis, the Google Earth Engine (GEE) platform was used, along with data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and TerraClimate sensors, using JavaScript programming. Pearson's correlation coefficient (r) in the R® software was applied to assess the relationships between NDVI time series data and rainfall, as well as between LST data and rainfall. This study highlighted the effectiveness of the GEE platform in processing the images, allowing for a comprehensive analysis of the dynamics of the Sucuru River basin and its relationship with key climatic factors, providing crucial information for managing water resources in the region, highlighting the importance of RS as an effective tool for monitoring the natural resources of river basins. Pearson's correlation coefficients revealed a moderate correlation between NDVI and rainfall, as well as between LST and rainfall, indicating a strong association between vegetation dynamics and LST with rainfall patterns.A Bacia Hidrográfica do rio Sucuru-PB abrange uma área de 1.652,5 km², e requer monitoramento eficiente de seus recursos naturais. O Sensoriamento Remoto (SR) emerge como uma ferramenta crucial para essa finalidade. Este estudo teve como objetivo a análise da dinâmica do Índice de Vegetação por Diferença Normalizada (NDVI) e da Temperatura da Superfície Terrestre (LST) em relação às variações na precipitação pluviométrica durante o período de 2001 a 2019. Para realizar essa análise, a plataforma Google Earth Engine (GEE) foi empregada, juntamente com dados dos sensores Moderate Resolution Imaging Spectroradiometer (MODIS) e TerraClimate, utilizando programação em JavaScript. O coeficiente de correlação de Pearson (r) no software R® foi aplicado para avaliar as relações entre os dados da série temporal do NDVI e da precipitação pluviométrica, bem como entre os dados da LST e a precipitação pluviométrica. Este estudo destacou a eficácia da plataforma GEE no processamento das imagens, permitindo uma análise abrangente da dinâmica da bacia do rio Sucuru e sua relação com fatores climáticos fundamentais, fornecendo informações cruciais para a gestão dos recursos hídricos na região, destacando a importância do SR como uma ferramenta eficaz para monitorar os recursos naturais das bacias hidrográficas. Os coeficientes de correlação de Pearson revelaram uma correlação moderada entre o NDVI e a precipitação pluviométrica, bem como entre a LST e a precipitação pluviométrica, indicando uma forte associação entre a dinâmica da vegetação e a LST com os padrões de precipitação pluviométrica

Impact of COVID-19 on Oral Healthcare for Oncopediatric Patients: The Setting in a Reference Hospital in Northeast Brazil

Objective: To describe the impact of the COVID-19 pandemic on dental care provided to pediatric cancer patients assisted in a referral hospital. Material and Methods: This is an observational, retrospective study based on secondary data extracted from worksheets of dental procedures for patients aged between 0 and 19 years assisted in the pediatric oncology sector of a hospital in João Pessoa, PB, Brazil. Dental procedures performed by the interdisciplinary team of researchers from August 2018 to February 2020 (19 months prior to the pandemic) and from April 2020 to October 2021 (19 months during the pandemic) were totaled and compared. A descriptive analysis of the data was performed. Results: There was a reduction of 80.2% in dental interventions implemented in the sector during the pandemic, with the number of procedures decreasing from 6,210 (the period before the pandemic) to 1,229 (during the pandemic). Most procedures in both periods were performed for patients assisted in beds, for whom there was a reduction of care provided for 81.2% from 5,275 to 994 procedures. Dental procedures in the outpatient clinic decreased by 74.9%, from 935 to 235. Conclusion: The COVID-19 pandemic negatively impacted dental care provided to pediatric oncology patients by restricting dental procedures to emergency demands, compromising performance prevention and health promotion actions

Field performance of new cowpea cultivars inoculated with efficient nitrogen‑fixing rhizobial strains in the Brazilian Semiarid

The objective of this work was to evaluate the contribution of efficient nitrogen‑fixing rhizobial strains to grain yield of new cowpea cultivars, indicated for cultivation in the Brazilian Semiarid region, in the sub‑medium of the São Francisco River Valley. Two experiments were set up at the irrigated perimeters of Mandacaru (Juazeiro, state of Bahia) and Bebedouro (Petrolina, state of Pernambuco). The treatments consisted of single inoculation of five rhizobial strains – BR 3267, BR 3262, INPA 03‑11B, UFLA 03‑84 (Bradyrhizobium sp.), and BR 3299T (Microvirga vignae) –, besides a treatment with nitrogen and a control without inoculation or N application. The following cowpea cultivars were evaluated: BRS Pujante, BRS Tapaihum, BRS Carijó, and BRS Acauã. A randomized complete block design, with four replicates, was used. Inoculated plants showed similar grain yield to the one observed with plants fertilized with 80 kg ha‑1 N. The cultivars BRS Tapaihum and BRS Pujante stood out in grain yield and protein contents when inoculated, showing their potential for cultivation in the sub‑medium of the São Francisco River Valley.O objetivo deste trabalho foi avaliar a contribuição de estirpes de rizóbio, eficientes na fixação de nitrogênio, sobre a produção de grãos de novas cultivares de feijão‑caupi, indicadas para cultivo no Semiárido brasileiro, no Submédio do Vale do Rio São Francisco. Dois experimentos foram implantados nos perímetros irrigados de Mandacaru (Juazeiro, BA) e Bebedouro (Petrolina, PE). Os tratamentos consistiram da inoculação isolada de cinco estirpes de rizóbio – BR 3267, BR 3262, INPA 03‑11B, UFLA 03‑84 (Bradyrhizobium sp.) e BR 3299T (Microvirga vignae) –, além de um tratamento com nitrogênio e de um controle sem inoculação ou aplicação de N. As seguintes cultivares de feijão‑caupi foram avaliadas: BRS Pujante, BRS Tapaihum, BRS Carijó e BRS Acauã. Utilizou-se o delineamento experimental de blocos ao acaso, com quatro repetições. As plantas inoculadas apresentaram produtividade de grãos similar à observada em plantas adubadas com 80 kg ha‑1 de N. As cultivares BRS Tapaihum e BRS Pujante destacaram-se quanto à produtividade e ao teor de proteínas nos grãos, quando inoculadas, o que mostra seu potencial para cultivo na região do Submédio do Vale do São Francisco