Abstract Tilapia is one of the most important aquaculture species due to the desirable characteristics as easy reproduction and quick growth in several farming systems, including the recirculating aquaculture systems RAS. In this, the high flow of water to remove waste casually stimulates the fish to swim backset, and growth performance may be improved. Increasing the speed of swimming can improve performance within certain limits, in which however if exceeded can be harmful. Fish may be exhausted leading to impaired growth or even mortality. The objective of this work was to evaluate the growth performance of tilapia juveniles under sustained swimming exercise at different speeds. Additionally, the fish stocking density effect was tested in the sustained swimming exercise condition. In the first experiment, Nile tilapia juveniles were submitted in triplicates to sustained swimming exercise in speeds of control (not exercised), 1 BL/s (body length per second), 1.5 BL/s and 2 BL/s. In the second experiment, two fish stocking densities were tested in triplicates in sustained swimming exercise in speed of 2 BL/s and control not exercised. Fish growth performance was improved by sustained swimming exercise in speeds up to 2 BL/s. No expressive fish mortalities were observed in both experiments. The comparison between the two stocking densities does not allow us to safely say tilapia can be reared at stocking densities in order of 1,000 fish/m3, even under sustained swimming exercise. Other densities need to be tested.

Abstract Background: Ecosystems are in constant transformation by ecological and anthropic processes. The use of satellite images through remote sensing helps to understand and study the dynamics and space-time changes of the vegetation. Question: What are the dynamics of mangrove cover in the municipality of Alvarado, Veracruz, Mexico using a long time series? Data description: All available Landsat images. Study site and dates: The municipality of Alvarado, Veracruz from 1985 to 2021. Methods: We compute and create NDVI composites for all Landsat satellite images at 30 m spatial resolution. We identify patterns in mangrove dynamics based on the annual trajectory of NDVI using a long time series. Results: The annual average of the mangrove NDVI in the municipality of Alvarado increased linearly during the study period. 50 % of the mangrove cover of the study area (118 km2) is made up of areas where the mangrove cover has not been disturbed since the beginning of the period studied, accumulating between 25 and 36 years without change. The areas with the highest biomass represent only 0.2 % of the mangrove cover in the municipality. We identified areas with excellent quality mangrove cover, and priority conservation sites. Conclusions: The municipality of Alvarado requires urgent plans and actions to create conservation initiatives. In addition, the areas with a higher quality of mangroves that remain in the municipality should be protected due to their importance for the conservation of biodiversity and because they are threatened by urban and agricultural expansion.

Resumen Antecedentes: Los manglares están en constante transformación por procesos ecológicos y antrópicos. El uso de imágenes de satélite a través de la teledetección ayuda a entender y estudiar la dinámica y los cambios espacio temporales de los manglares. Pregunta: ¿Cuál es la dinámica de la cobertura del manglar en el municipio de Alvarado usando una serie de tiempo larga? Descripción de datos: Todas las imágenes disponibles de Landsat. Sitio y años de estudio: El municipio de Alvarado, Veracruz desde el año 1985 hasta el año 2021. Métodos: Calculamos y estimamos el NDVI para todas las imágenes satelitales Landsat a una resolución espacial de 30 m. Identificamos los patrones en la dinámica del manglar con base en la trayectoria anual usando una serie de tiempo larga. Resultados: El promedio anual del NDVI del manglar incrementó linealmente durante el periodo de estudio. El 50 % de la cobertura del manglar (118 km2) está conformada por áreas sin perturbación desde el inicio del periodo estudiado, acumulando entre 25 y 36 años sin cambio. Las áreas con mayor biomasa representan el 0.2 % de la cobertura del manglar en el municipio. Identificamos áreas con buena calidad en la cobertura del manglar los cuales son sitios prioritarios para la conservación. Conclusiones: El municipio de Alvarado requiere urgentemente planes y acciones para conservar las zonas con mayor calidad de manglar que aún persisten. Estas zonas deberían protegerse por su importancia para la conservación de la biodiversidad y porque están amenazadas por la expansión urbana y agrícola.

Abstract Bench scale flotations were carried out to investigate an alternative collector reagent with a more sustainable bias, with selective action at the mineral interface to replace the standard hydrocarbon-base collector used for graphite’s flotation, the kerosene. A soy bio oil was produced by a transesterification reaction to perform as a collector. The study used graphite ore with 5.85% carbon content obtained from Salto da Divisa/MG region, in Bahia-Minas Province, Brazil. The design of experiments showed that the bio ester performed 11% higher than kerosene as a graphite’s collector, improving the flotation’s selectivity with 62% ore grade by bio oil and 88% recovery, against 54% ore grade using kerosene and 77% recovery. The chemical composition investigated with XPS analysis for both concentrates with kerosene and bio ester demonstrated the influence of esters and oxigenated-groups on oxidized graphite surfaces.

ABSTRACT Understorey herbs form a diverse and understudied plant assemblage in tropical forests. Although several studies and research teams have long been dedicated to the study of this conspicuous vegetation component in Amazonia, no effort to unify the data has been undertaken to date. In contrast to trees and other life forms for which major data compilations already exist, a unified database dedicated to herbs is still lacking. Part of the problem is in defining what is a herb and how to effectively sample herb assemblages. In this article, we describe the database HERBase, an exhaustive compilation of published and unpublished data on herb inventories in Amazonia. We also describe the structure, functioning, and guidelines for data curation and integration in HERBase. We were able to compile information from 1381 plots from all six Amazonian geographic regions. Based on this dataset, we describe and discuss sampling and knowledge gaps, priority areas for new collections, and recommend sampling protocols to facilitate data integration in the future. This novel database provides a unique biodiversity data repository on understorey herbs that will enable new studies on community ecology and biogeography.

RESUMO As ervas do sub-bosque formam um componente diversificado e pouco estudado em florestas tropicais. Embora vários estudos e grupos de pesquisa tenham se dedicado ao estudo desse componente conspícuo na Amazônia, nenhum esforço foi feito até o momento para unificar essas informações. Em contraste com árvores e outros grupos de plantas para os quais já existem grandes compilações de dados, uma base de dados unificada dedicada às ervas ainda não existe. Parte do problema está em definir o que é uma erva e como amostrar comunidados de ervas de forma eficiente. Neste artigo descrevemos a base de dados HERBase, uma compilação exaustiva de dados publicados e não publicados sobre inventários de ervas na Amazônia. Também descrevemos a estrutura, funcionamento e diretrizes para curadoria e integração de dados na HERBase. Conseguimos compilar informações de 1381 parcelas de todas as seis regiões geográficas amazônicas. Com base nesses dados, descrevemos e discutimos lacunas de amostragem e conhecimento, apontamos áreas prioritárias para novas coletas e recomendamos protocolos de amostragem para facilitar a integração de dados no futuro. Essa nova base de dados fornece dados únicos de biodiversidade sobre ervas do sub-bosque que permitirão novos estudos sobre ecologia e biogeografia de comunidades.

ABSTRACT Adjuvants mayimprove control efficiency of volunteer RR® corn with ACCase inhibiting herbicides. Thus, the aim of this study was to evaluate the effects of adjuvant addition to the herbicides clethodim and quizalofop, on surface tension, spray deposition and efficiency of volunteer RR® corn control. The surface tension of clethodim (96 g a.i. ha-1) and quizalofop (60 g a.i. ha-1) herbicides with and without a mineral oil, a vegetable oil and an organosilicon adjuvant was evaluated at concentrations of 0.01; 0.05; 0.1; 0.5; 1.0 and 2.0% v v-1. To evaluate deposition and visual control efficiency, the same herbicides associated or not with the mineral oil (0.5% v v-1), the vegetable oil (0.5% v v-1) and the organosilicon adjuvant (0, 05% v v-1) were used. For this, volunteer RR® corn plants were grown in a greenhouse until stage V2-V3. The adjuvants reduced the surface tension of the herbicides clethodim and quizalofop, organosilicon was the most efficient. Adjuvants does not alter spray deposition of herbicides on corn plants. Mineral oil increases potential control of clethodim herbicide and anticipates control with quizalofop herbicide.

ABSTRACT Blackberries have a short post-harvest conservation period, making it necessary to optimize harvest and storage conditions. The objective of this study was to evaluate the impact of refrigerated storage and maturation stage on the physicochemical quality of ‘BRS Cainguá’ blackberries, produced in an organic system. Blackberries from an experimental orchard, were harvested at three ripeness stages (RS), with RS1 being fruits with 100% red skin; RS2 skin 50% red and 50% black; and EM3 100% black skin. The samples were stored in a cold chamber at 4±0.5ºC and 90-95% RH for 12 days. The evaluations were carried out after 0, 3, 6, 9 and 12 days of storage, for: weight loss (WL), soluble solids (SS), pH, titratable acidity (TA), ratio (SS/TA) and color parameters. Blackberries harvested in RS3 had the highest SS content, lowest TA and the highest SS/TA ratio and pH. During storage, TA and WL showed decreasing and increasing linear responses, respectively, regardless of the RS of the fruits. Harvesting based on the skin color of ‘BRS Cainguá’ blackberries influences the physicochemical quality and postharvest conservation. Fruits harvested with 100% black skin, have the best quality and are the most suitable for subsequent refrigerated storage.

Abstract Flocculation is a complex process, usually dependant on various conditions to perform adequately. Nevertheless, the relevance and interaction of the process variables are not easily found in literature. In this study, nine variables of ultrafine quartz flocculation systems, defined in Part 1 of this study, were analysed. The effects of each variable and their interactions in the system were investigated based on flocculation and sedimentation tests. The results were statistically evaluated using the supernatant turbidity as experimental response. The evaluations resulting from the statistical approach indicated that suspension pH (5.49%) was the most significant variable, followed by flocculant concentration (4.07%) with the second greatest effect on the turbidity of the supernatant. Solid concentration, agitation intensity, and surfactant conditioning time (4.05%, 3.51% and 3.51%, respectively), also have significant effects on ultrafine quartz flocculation. The flocculant concentration and the surfactant conditioning time were the variables with the most significant interactions with the main variables. The Camp Number values showed a negative exponential relationship with the turbidity results, proving to be an important tool to evaluate flocculation. Backscattered electron scanning microscopy images of flocs formed in the presence of 30 g/t PAM showed compact flocs in the size range between 150 and 365 µm, with noticeable sphericity.

RESUMO OBJETIVOS Avaliar a qualidade dos dados antropométricos de crianças registradas no Sistema de Vigilância Alimentar e Nutricional (Sisvan) no período 2008-2017. MÉTODOS Estudo descritivo sobre a qualidade dos dados antropométricos de crianças menores de 5 anos atendidas nos serviços de atenção primária do Sistema Único de Saúde, a partir das bases de dados individuais do Sisvan. A qualidade dos dados foi avaliada anualmente por meio dos indicadores: cobertura, completude, razão entre sexos, distribuição da idade, preferência por dígitos de peso e estatura, valores de escore-z implausíveis, desvio-padrão e normalidade dos escores-z. RESULTADOS No total, 73.745.023 registros e 29.852.480 crianças foram identificados. A cobertura aumentou de 17,7% em 2008 para 45,4% em 2017. A completude da data de nascimento, peso e estatura correspondeu a quase 100% para todos os anos. A razão entre sexos foi equilibrada e aproximadamente similar a razão esperada, variando entre 0,8 e 1. A distribuição da idade revelou maiores percentuais de registros entre as idades de 2 a 4 anos até meados de 2015. Uma preferência pelos dígitos terminais “zero” e “cinco” foi identificada entre os registros de peso e estatura. As porcentagens de escores-z implausíveis excederam 1% para todos os índices antropométricos, com redução dos valores a partir de 2014. Uma alta dispersão dos escores-z, incluindo desvios-padrão entre 1,2 e 1,6, foi identificada principalmente nos índices incluindo estatura e nos registros de crianças menores de 2 anos e residentes das regiões Norte, Nordeste e Centro-Oeste. A distribuição dos escores-z foi simétrica para todos os índices e platicúrtica para estatura/idade e peso/idade. CONCLUSÕES A qualidade dos dados antropométricos do Sisvan para crianças menores de 5 anos melhorou substancialmente entre 2008 e 2017. Alguns indicadores requerem atenção, sobretudo para medidas de estatura, cuja qualidade foi principalmente inferior entre os grupos mais vulneráveis a agravos nutricionais.

ABSTRACT OBJECTIVE To evaluate the quality of anthropometric data of children recorded in the Food and Nutrition Surveillance System (SISVAN) from 2008 to 2017. METHOD Descriptive study on the quality of anthropometric data of children under five years of age admitted in primary care services of the Unified Health System, from the individual databases of SISVAN. Data quality was annually assessed using the indicators: coverage, completeness, sex ratio, age distribution, weight and height digit preference, implausible z-score values, standard deviation, and normality of z-scores. RESULTS In total, 73,745,023 records and 29,852,480 children were identified. Coverage increased from 17.7% in 2008 to 45.4% in 2017. Completeness of birth date, weight, and height corresponded to almost 100% in all years. The sex ratio was balanced and approximately similar to the expected ratio, ranging from 0.8 to 1. The age distribution revealed higher percentages of registrations from the ages of two to four years until mid-2015. A preference for terminal digits “zero” and “five” was identified among weight and height records. The percentages of implausible z-scores exceeded 1% for all anthropometric indices, with values decreasing from 2014 onwards. A high dispersion of z-scores, including standard deviations between 1.2 and 1.6, was identified mainly in the indices including height and in the records of children under two years of age and residents in the North, Northeast, and Midwest regions. The distribution of z-scores was symmetric for all indices and platykurtic for height/age and weight/age. CONCLUSIONS The quality of SISVAN anthropometric data for children under five years of age has improved substantially between 2008 and 2017. Some indicators require attention, particularly for height measurements, whose quality was lower especially among groups more vulnerable to nutritional problems.

ABSTRACT Insects are fundamental to biodiversity conservation in almost all ecosystems, and their population decline, and extinction directly result from environmental impacts. These facts are aggravated by the lack of knowledge of insect biodiversity, the so-called biodiversity deficits, especially the Linnean and Wallacean shortfalls. In freshwater ecosystems, biodiversity loss is higher among aquatic insects, and caddisflies comprise one of the most vulnerable orders. In this way, research focusing on describing new caddisfly species and understanding their distribution ranges will increase knowledge of caddisfly biodiversity. In the past 14 years, the team from the Laboratório de Entomologia Aquática “Prof. Dr. Claudio Gilberto Froehlich” (LEAq, Universidade Federal da Bahia, Brazil) and collaborators have been addressing these issues, resulting in 55 described species of caddisflies. Taxa in other insect orders have also received attention and an additional 16 species have been described (eight mayflies, four stoneflies, four neuropteran spongillaflies, and antlions). Here, eight caddisfly species are described and illustrated (Atopsyche froehlichi sp. nov., Austrotinodes zeferina sp. nov., Cernotina kariri sp. nov., Neoathripsodes froehlichi sp. nov., Notalina claudiofroehlichi sp. nov., Oecetis marcus sp. nov., Phylloicus froehlichi sp. nov., and Polycentropus claudioi sp. nov.), five of them in honor of LEAq’s patron. In addition, new distributional data are presented for 10 known species. A checklist of the caddisfly fauna of Bahia state is also presented, with 138 species, around 75% and 30% of them recorded and described by the LEAq team, respectively. Currently, for caddisflies, Bahia is the fifth most species-rich state in Brazil, and the first in the Brazilian Northeast region.

Abstract The presented development is an intelligent diagnostic system for transformers that studied machine learning techniques to determine the operational status of these transformers. The study of these techniques is initiated by observing the quantities that define the operational behavior of large transformers, aiming to identify anomalies in their operation from data from sensors that equipment it in the functioning environment. This large power transformer has a theoretical service life of above 20 years and a low failure rate. Thus, obtaining failure values, which have their evolution monitored for large transformers, is almost nil. Therefore, a supervised machine training methodology to diagnose these cases is practically unfeasible. The study carried out with several traditional intelligent techniques can verify this. Several supervised methods (Closest Neighbor K-th Neighbor, Support Vector Machine, Radial Base Function, Decision Trees, Random Forest, Neural Network, AdaBoost, Gaussian Naive Bayes, and Quadratic Discriminant Analysis) were studied.

Abstract This article proposes a comparative analysis between public and regulatory policies for implementing microgeneration and mini generation in Brazilian and German markets. The research was developed based on scientific texts and legal orders. Distributed microgeneration and mini generation are becoming a reality in Brazil. The current regulatory framework for distributed generation, effective from January 2022, promises to update the legislation and promote renewable energy. Since Brazilian legislation is still in its infancy, it is essential to compare it with other places where laws and regulations have already undergone several changes so we can learn from its mistakes and successes.

ABSTRACT. The objective was to evaluate levels of replacement of corn silage with extruded forage (Foragge®) in sheep feeding. Twenty adult Santa Inês ewes in maintenance, and 55.8 kg average weight were housed in metabolic cages, and the treatments consisted of 20, 40, 60 and 80% replacement of corn silage with Foragge® extruded forage with 60% Uruchloa brizantha in the diet. The design was completely randomized, with regression analysis and non-parametric analysis at 5% probability. The supply of up to 80% extruded roughage to replace corn silage increased dry matter intake and digestibility, and fecal output in dry matter (p < 0.05). Also, it increased the efficiency of ingestion, rumination and chewing activities of sheep, but did not alter urinary parameters and energy metabolites (p > 0.05). However, it reduced the concentration of uric acid (p < 0.05). Foragge® extruded roughage can replace corn silage by up to 80% with changes in intake, digestibility, fecal parameters, ingestive behavior and concentration of uric acid and urea, with no modifications in urinary parameters and energy metabolites.

ABSTRACT The cities of Petrópolis (RJ) and Poços de Caldas (MG) are located in the mountain range regions of their respective states in Brazil. They frequently suffer from damage caused by heavy rains. Therefore, analyzing and predicting the occurrence of maximum rainfall for these locations is fundamental for planning activities that are vulnerable to its occurrence. The modeling of this variable is done, generally, through the generalized distribution of extreme values (GEV), which the Bayesian methodology has shown good results in estimating its parameters. Therefore, the present study aimed to fit the GEV distribution to the historical series of maximum rainfall in Petrópolis and Poços de Caldas, and to evaluate different structures of prior distributions, informative and non-informative, in predicting the maximum rainfall expected for different return times. The number of successes and precision were analyzed in order to evaluate the predictions obtained with the information from the maximum rainfall of different locations to elicit the prior distribution. To obtain the posterior marginal distributions, the Monte Carlo method via Markov Chains was used. The use of informative prior distribution based on data from Poços de Caldas was more precise and accurate to predict the maximum rainfall for Petrópolis, while for Poços de Caldas, the informative prior based on information from São João da Boa Vista (SP) provided the best results. For both locations, it is expected that, in an average time of 5 years, there will be at least one day with maximum rainfall equal to or greater than 100 mm.

Resumo As cidades de Petrópolis (RJ) e Poços de Caldas (MG) estão situadas em regiões serranas de seus respectivos estados e sofrem frequentemente com estragos provocados por fortes chuvas. Analisar e prever a ocorrência de precipitações máximas nessas localidades são fundamentais para o planejamento de atividades vulneráveis à sua ocorrência. A modelagem dessa variável é feita geralmente com distribuição generalizada de valores extremos (GEV), e a metodologia bayesiana tem apresentado bons resultados na estimação de seus parâmetros. Sendo assim, o presente estudo teve como objetivos ajustar a distribuição GEV às séries históricas de precipitação máxima de Petrópolis e Poços de Caldas e avaliar diferentes estruturas de distribuições a priori, informativas e não informativas, na predição da precipitação máxima esperada para diferentes tempos de retorno. Foram analisados o número de acertos e a precisão a fim de avaliar as previsões obtidas com as informações advindas das precipitações máximas de diferentes localidades para eliciação da distribuição a priori. A obtenção das distribuições marginais a posteriori foi realizada usando-se o método Monte Carlo via cadeias de Markov. A utilização da distribuição a priori informativa fundamentada nos dados de Poços de Caldas foi mais precisa e teve maior número de acertos para predizer as precipitações máximas para Petrópolis, enquanto para Poços de Caldas foi a priori informativa com base nas informações de São João da Boa Vista (SP). Para ambas as localidades, espera-se que, em um tempo médio de cinco anos, ocorra pelo menos um dia com precipitação máxima igual ou superior a 100 mm.

ABSTRACT Objective: This study aimed to investigate the association between 25OHD (total, bioavailable and free) with bone mass and microarchitecture among primary hyperparathyroidism (PHPT) patients and controls. Subjects and methods: Sixty-four patients in the preoperative period of PHPT and 63 matched controls, who had not taken vitamin D in the last three months. To calculate the bioavailable and free 25OHD, the genetic variants of the vitamin D-binding protein (DBP) were determined. Bone mineral density (BMD) was determined by dual-energy X-ray absorptiometry (DXA). The distributions of total, bioavailable and free 25OHD and their correlation with TBS and DXA were evaluated. Results: PHPT showed BMD and TBS values lower than CTRL in all locations (p < 0.05). There were no statistical differences in the levels of free, bioavailable and total 25OHD between the PHPT and CTRL groups [mean, min-max: 3.4 (1.4-8.6) vs. 3.1 (1.0-9.8) pg/mL, 1.51 (0.43-3.58) vs. 1.41 (0.38-3.48) ng/mL, 22.6 (11.0-39.9) vs. 20.6 (8.9-35.3) ng/dL, respectively; (p > 0.05). The distribution of DBP haplotypes was similar between groups. DXA showed no correlation with any form of 25OHD in both groups. TBS presented a weak correlation with the total 25OHD in PHPT (r = 0.28; p = 0.02) and a moderate correlation with the total, free and bioavailable 25OHD in CTRL (r = 0.42; r = 0.42; r = 0.43; respectively, p < 0.01). Conclusion: The concentrations of total, free and bioavailable 25OHD were similar in both the PHPT and control groups. 25OHD concentrations correlated positively with TBS and not with DXA, especially in controls, suggesting that this method may be more sensitive to assessing the consequences of vitamin D deficiency on bone quality in individuals without PHPT.

Abstract: The objective of this study was to evaluate the quality of milk and cheese and sensory analysis of cheese from goats that received a diet with different levels of sorghum silage in the diet. Twenty Anglonubian dairy goats were used, with an average age of 2 years, average live weight of 43.7 kg, distributed in a completely randomized design, with five replications. Moisture (P=0.001), total solids (P=0.001), fat (p=0.001), TDE (P=0.006) and protein (P=0.003) of goat cheese showed a significant difference due to the inclusion of silage from goat cheese. sorghum in the diet. The sensory attributes soft appearance (P<.0001), look (P<.0001), salty taste (P<.0001) and smooth texture (P=0.0430) showed a significant difference depending on the level of sorghum silage added to the diet. of goats. In the PC analysis, it is observed that three main components were needed to represent the variation of 64.84% of the data. PC 1 determined 29% of the data variation and was represented by the attributes with the highest averages: attractive aroma (5.87) and global acceptability (7.74). The inclusion of up to 45% of sorghum silage in the diet of goats increased milk and cheese fat, which favored high scores for the attributes of softness and global acceptance.