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CO 2 capture and storage in geological reservoirs have the potential to significantly mitigate the effects of anthropogenic gas emissions on global climate. Here, we report the results of the first laboratory experiments of CO 2 injection in continental flood basalts of South America. The results show that the analyzed basalts have a mineral assemblage, texture and composition that efficiently allows a fast carbonate precipitation that starts 72 h after injection. Based on the availability of calcium, chemical monitoring indicates an estimated CO 2 storage of ~ 75%. The carbonate precipitation led to the precipitation of aragonite (75.9%), dolomite (19.6%), and calcite (4.6%)., (© 2024. The Author(s).)

Interactive communication platforms have been widely used to support online teaching. However, during the Coronavirus Diseases 2019 (COVID-19) pandemic they gained unprecedented relevance since they allowed educational processes to continue. This study investigated the relationship among interactive communication technology tools, perceived instructor presence, student satisfaction and engagement in hybrid courses post-COVID-19 lockdown. An electronic questionnaire was administered to 1086 students from a public university in Mexico that implemented a hybrid class model using Microsoft Teams after the lockdown. Jamovi and WarpPLS were used to perform confirmatory factor analysis and structural equation modeling. The findings revealed that interactive technological communication tools positively impact the instructor's perceived presence, student satisfaction and engagement. Similarly, commitment significantly positively impacted student satisfaction. The model demonstrated a good fit. The findings were consistent with studies before and during the lockdown. The instructor's perceived presence promotes student engagement and satisfaction, and Microsoft Teams effectively facilitates this presence. These findings suggest that interactive communication tools are and will be significant in educational contexts and modalities. This study provides useful insights for educators, course designers and educational administrators, emphasizing effective communication with students and implementing interactive technological communication tools to enhance hybrid learning in the post-pandemic era., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

The illicit exploitation of Brazilwood (Paubrasilia echinata) presents a significant challenge in Brazil, given its substantial value in the global production of bows for musical instruments. To address timber provenance, the use of strontium (Sr) isotope ratios as indicators of bedrock signatures has emerged as a robust tool in forensic investigations. In this study, we critically evaluate the efficacy of this approach using Sr isotope data derived from bulk soils and trees collected at two distinct sites in Brazil. Despite the statistically indistinguishable 87 Sr/ 86 Sr ratios observed in the investigated tree species, the compiled 87 Sr/ 86 Sr isotope ratios of Brazilwood from Brazilwood National Park (PNPB) and the ES Group provide valuable insights into the potential application of this method for tracing forensic timber seizures. This pilot study also addresses crucial sampling considerations. While the regional signatures exhibit clear distinctions, the limited sample sizes underscore the necessity for supplementary methods to confidently attribute timber to a specific source forest. In isolation, this method proves most effective in refuting presumed timber provenances rather than definitively confirming them. The discussion delves into the nuances of the Sr isotope data, emphasizing the importance of increasing the number of samples and exploring complementary techniques for a more comprehensive and reliable assessment of timber origin., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.)

Stayability (STAY) is a way to evaluate the productive longevity of females. Measuring the STAY at each cow calving allows earlier indicators of longevity to be obtained. Our objective with this study was to verify the association between STAY and consecutive calvings and traits potentially used as selection criteria in beef cattle, such as age at first calving (AFC), days to calving (DC), weaning weight (WW), and yearling weight (YW). Data from the Nelore, Angus/Brangus, and Hereford/Braford breeds were used. The estimation of variance components and subsequent prediction of breeding values were performed for all traits. The estimated breeding values (EBV) were used to analyse the association between STAY and the other traits. The Pearson's correlation estimated between the EBV for the intercept coefficient for STAY to consecutive calvings and those of AFC, DC, WW (direct and maternal effects), and YW was favourable and of low magnitude (<0.25) depending on the breed studied. The influence of the genetic merit of AFC on the chance of selection for STAY was favourable and relevant regardless of the intensity of selection and breed. DC and WW (maternal effect) traits were favourably influenced by the chance of selection for STAY, irrespective of breed. The WW (direct effect) did not affect the chance of selection for STAY for the Nelore and Hereford/Braford breeds and negatively influenced, but to a small extent, the Angus/Brangus breed. For YW, an increase in genetic merit affected the chances of selection for STAY, depending on the breed and selection intensity evaluated. The influence of the genetic merit for AFC, DC, and WW (maternal effect) on the chance of selection for STAY to consecutive calvings was favourable and relevant regardless of the selection intensity scenario evaluated. The WW (direct effect) did not influence the chance of selection for STAY. For the scenario with high selection intensity, the selection for YW favourably influenced the chance of selection for STAY in Angus/Brangus and Hereford/Braford breeds but not in Nelore., (© 2023 Wiley-VCH GmbH. Published by John Wiley & Sons Ltd.)

Some sectors of animal production and reproduction have shown great technological advances due to the development of research areas such as Precision Livestock Farming (PLF). PLF is an innovative approach that allows animals to be monitored, through the adoption of cutting-edge technologies that continuously collect real-time data by combining the use of sensors with advanced algorithms to provide decision tools for farmers. Artificial Intelligence (AI) is a field that merges computer science and large datasets to create expert systems that are able to generate predictions and classifications similarly to human intelligence. In a simplified manner, Machine Learning (ML) is a branch of AI, and can be considered as a broader field that encompasses Deep Learning (DL, a Neural Network formed by at least three layers), generating a hierarchy of subsets formed by AI, ML and DL, respectively. Both ML and DL provide innovative methods for analyzing data, especially beneficial for large datasets commonly found in livestock-related activities. These approaches enable the extraction of valuable insights to address issues related to behavior, health, reproduction, production, and the environment, facilitating informed decision-making. In order to create the referred technologies, studies generally go through five steps involving data processing: acquisition, transferring, storage, analysis and delivery of results. Although the data collection and analysis steps are usually thoroughly reported by the scientific community, a good execution of each step is essential to achieve good and credible results, which impacts the degree of acceptance of the proposed technologies in real life practical circumstances. In this context, the present work aims to describe an overview of the current implementations of ML/DL in livestock reproduction and production, as well to identify potential challenges and critical points in each of the five steps mentioned, which can affect results and application of AI techniques by farmers in practical situations., Competing Interests: Conflict of interest: The authors have no conflict of interest to declare.

Introduction: cutaneous melanoma (MC) is a malignant neoplasm derived from melanocytic cells with an aggressive behavior. It is usually associated with the multifactorial interaction of genetic susceptibility and environmental exposure, usually ultraviolet radiation. Despite advances in treatment, the disease remains relentless with poor prognosis. Sentinel lymph node (SLN) biopsy is a technique used to screen patients in need of lymph node dissection., Objectives: to correlate the tumor burden in the SLN with the mortality of patients undergoing SLN biopsy., Methodology: the medical records and histological slides of patients with MC who underwent SLN biopsy treated at HC-Unicamp from 2001 to 2021 were retrospectively analyzed. The positive SLN were measured according to the size of the tumor infiltration area, for analysis of the depth of invasion (DI), closest proximity to the capsule (CPC) and tumor burden (TB). For statistical analysis, associations between variables were analyzed using Fishers exact test, with post Bonferroni test and Wilcoxon test., Results: 105 records of patients who underwent SLN biopsy of MC were identified. Of these, nine (8.6%) had positive SLN and 81 (77.1%) had negative SLN. The performed lymphadenectomies resulted in 55.6% (n=5) affected, 22.2% (n=2) without disease and 22.2% (n=2) were not performed. Mean CPC, TB, and DI were 0.14mm, 32.10mm and 2.33mm, respectively. Patients with T2 and T3 tumors were more likely to show the SLN affected (p=0.022). No patient with positive SLN died during follow-up., Conclusion: patients who presented T3 staging are the ones who most presented positive SLN.

Introduction: This paper presents a protocol for the Investigation of Cortisol Dynamics in Undergraduate Nursing Students, a funded project aiming to understand the fluctuations in anxiety and salivary cortisol levels due to clinical setting changes and the anxiety associated with clinical practice., Methods and Analysis: This study is an exploratory, cross-sectional, observational study that will be conducted at a health and science school in Portugal. Data collection will involve phycological assessment instruments for personality, anxiety, stress, depression and saliva cortisol levels. The target population consists of undergraduate nursing students enrolled in our institution for the academic year of 2022/2023 (N=272), of whom we aim to recruit 35% (N=96) to the study., Ethics and Dissemination: The project obtained approval from the Institutional Review Board of the Egas Moniz-Cooperativa de Ensino Superior, CRL, on 5 July 2022 (ID: 116/21.22) and ethical approval from the Egas Moniz Ethics Committee on 28 July 2022 (ID:1110.22). Informed consent will be obtained from those who wish to participate, ensuring students' voluntary participation in the project. The results of this study will be disseminated through open-access peer-reviewed publications and presented at scientific events., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Indigenous people have historically suffered devastating impacts from epidemics and continue to have lower access to healthcare and be especially vulnerable to respiratory infections. We estimated the coverage and effectiveness of Covid-19 vaccines against laboratory-confirmed Covid-19 cases among indigenous people in Brazil., Methods: We linked nationwide Covid-19 vaccination data with flu-like surveillance records and studied a cohort of vaccinated indigenous people aged ≥ 5 years between 18th January 2021 and 1st March 2022. We considered individuals unexposed from the date they received the first dose of vaccine until the 13th day of vaccination, partially vaccinated from the 14th day after the first dose until the 13th day after receiving the second dose, and fully vaccinated onwards. We estimated the Covid-19 vaccination coverage and used Poisson regression to calculate the relative risks (RR) and vaccine effectiveness (VE) of CoronaVac, ChAdOx1, and BNT162b2 against Covid-19 laboratory-confirmed cases incidence, mortality, hospitalisation, and hospital-progression to Intensive Care Unit (ICU) or death. VE was estimated as (1-RR)*100, comparing unexposed to partially or fully vaccinated., Results: By 1st March 2022, 48.7% (35.0-62.3) of eligible indigenous people vs. 74.8% (57.9-91.8) overall Brazilians had been fully vaccinated for Covid-19. Among fully vaccinated indigenous people, we found a lower risk of symptomatic cases (RR: 0.47, 95%CI: 0.40-0.56) and mortality (RR: 0.47, 95%CI: 0.14-1.56) after the 14th day of the second dose. VE for the three Covid-19 vaccines combined was 53% (95%CI:44-60%) for symptomatic cases, 53% (95%CI:-56-86%) for mortality and 41% (95%CI:-35-75%) for hospitalisation. In our sample, we found that vaccination did not reduce Covid-19 related hospitalisation. However, among hospitalised patients, we found a lower risk of progression to ICU (RR: 0.14, 95%CI: 0.02-0.81; VE: 87%, 95%CI:27-98%) and Covid-19 death (RR: 0.04, 95%CI:0.01-0.10; VE: 96%, 95%CI: 90-99%) after the 14th day of the second dose., Conclusions: Lower coverage but similar Covid-19 VE among indigenous people than overall Brazilians suggest the need to expand access, timely vaccination, and urgently offer booster doses to achieve a great level of protection among this group., (© 2023. The Author(s).)

The aim of this work was to compare the lipidome and metabolome profiling in the Longissimus thoracis muscle early and late postmortem from high and normal ultimate pH (pHu) beef. Lipid profiling discriminated between high and normal pHu beef based on fatty acid metabolism and mitochondrial beta-oxidation of long chain saturated fatty acids at 30 min postmortem, and phospholipid biosynthesis at 44 h postmortem. Metabolite profiling also discriminated between high and normal pHu beef, mainly through glutathione, purine, arginine and proline, and glycine, serine and threonine metabolisms at 30 min postmortem, and glycolysis, TCA cycle, glutathione, tyrosine, and pyruvate metabolisms at 44 h postmortem. Lipid and metabolite profiles showed reduced glycolysis and increased use of alternative energy metabolic processes that were central to differentiating high and normal pHu beef. Phospholipid biosynthesis modification suggested high pHu beef experienced greater oxidative stress., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest associated with this research., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

This study aimed to perform a genome-wide association analysis (GWAS) using the Random Forest (RF) approach for scanning candidate genes for age at first calving (AFC) in Nellore cattle. Additionally, potential epistatic effects were investigated using linear mixed models with pairwise interactions between all markers with high importance scores within the tree ensemble non-linear structure. Data from Nellore cattle were used, including records of animals born between 1984 and 2015 and raised in commercial herds located in different regions of Brazil. The estimated breeding values (EBV) were computed and used as the response variable in the genomic analyses. After quality control, the remaining number of animals and SNPs considered were 3,174 and 360,130, respectively. Five independent RF analyses were carried out, considering different initialization seeds. The importance score of each SNP was averaged across the independent RF analyses to rank the markers according to their predictive relevance. A total of 117 SNPs associated with AFC were identified, which spanned 10 autosomes (2, 3, 5, 10, 11, 17, 18, 21, 24, and 25). In total, 23 non-overlapping genomic regions embedded 262 candidate genes for AFC. Enrichment analysis and previous evidence in the literature revealed that many candidate genes annotated close to the lead SNPs have key roles in fertility, including embryo pre-implantation and development, embryonic viability, male germinal cell maturation, and pheromone recognition. Furthermore, some genomic regions previously associated with fertility and growth traits in Nellore cattle were also detected in the present study, reinforcing the effectiveness of RF for pre-screening candidate regions associated with complex traits. Complementary analyses revealed that many SNPs top-ranked in the RF-based GWAS did not present a strong marginal linear effect but are potentially involved in epistatic hotspots between genomic regions in different autosomes, remarkably in the BTAs 3, 5, 11, and 21. The reported results are expected to enhance the understanding of genetic mechanisms involved in the biological regulation of AFC in this cattle breed., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Alves, da Costa, Fonseca, Carvalheiro, Ventura, Rosa and Albuquerque.)

This descriptive study aimed to discuss the repercussions of the change in the methodology for recording the color/race variable in the Brazilian Information System on Live Births (SINASC) on infant mortality rates (IMR) according to color/race in Brazil. Annual variations were analyzed in the rates of live births and infant deaths according to color/race from 2009 to 2017. The IMR according to color/race were estimated using three strategies: (1) direct method; (2) for every year, setting the same proportions of live births by color/race as observed in 2009; and (3) for every year, setting the same proportions of deaths by color/race as observed in 2009. The strategies aimed to explore the single effect of the variations in the proportions of live births or of deaths according to color/race on the estimated IMR before and after the change in the color/race variable in the SINASC database. Between 2011 and 2012 (the year of the change in the color/race variable in SINASC), there was a sudden increase in birthdates with black, brown, and indigenous color/race, along with a reduction in birthdates with white color/race, without no corresponding variations in deaths. The increase of more socially vulnerable color/race categories in the IMR denominator resulted in the attenuation of IMR for black and indigenous infants and in an increase in the IMR for white infants and consequently an artificial reduction in iniquities in infant mortality according to color/race. The change in the color/race variable in SINASC interrupted the historical series of live births by color/race, affecting indicators that potentially depend on these data for their calculation, in this case the IMR. The resulting argument is that infant mortality rates by color/race before versus after the change in the SINASC database are distinct and noncomparable indicators.

Introduction: Acute Suicide Risk (ASR) is widely evaluated at Emergency Departments (ED). Little is known about follow-up of ASR after psychiatric ED evaluation, and if there are differences within No ASR (NASR) counterparts at baseline and afterwards., Method: We developed a naturalistic, 3-month follow-up study of adult patients from a psychiatric ED in Mexico City. Depressive patients who asked voluntarily for an emergency consultation from July 1 to December 1, 2014, were included. We compared depression severity, suicidal ideation, adherence to treatment, and perceived social support scales both in ASR and NASR participants at baseline and follow-up interviews., Results: Participants ( n  = 120) were divided into ASR or NASR groups ( n  = 60 each). The ASR group obtained more negative scores in all scales at baseline evaluation. After three months, 85% ( n  = 51) of ASR and 75% ( n  = 45) of NASR completed the second interview. 5.21% ( n  = 3) of participants showed new suicidal behavior. At follow-up, the ASR group showed a higher relative response in depression scales and treatment adherence ( p  = 0.036), and lower scores in suicidal ideation scales than NASR group ( p  = 0.012). Perceived support from family was significantly higher in the NASR group ( p  = 0.016)., Discussion: These relative higher responses in clinical scales suggest a paradoxical advantage of ASR over NASR patients, suggesting a hypothetical phenomenon similar to "The Tortoise and the Hare" effect. However, it is not applicable for all ASR patients. Results suggest suicidal patients experience stigma from their families. Further research and public health programs for ASR at ED should be implemented.

This paper reviews recent literature on the abundance and distribution of faecal indicator bacteria and pathogens in shellfish production areas in the state of Santa Catarina, on the subtropical coast of Brazil. This state supplies > 95% of the national production of shellfish. Microbiological monitoring data were mapped using GIS and the results compared with those from other countries. Coastal human population is the main predictive parameter for faecal bacteria in the production areas. Temporal variations of the bacteria can also be predicted by solar radiation and rainfall. The prevalence of pathogens such as hepatitis A virus, human norovirus, Salmonella spp. and Vibrio spp. does not differ substantially from that in developed countries. The information reported here can be used to inform development of microbiological risk profiles for shellfish production areas., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Multitrait models can increase the accuracy of breeding value prediction and reduce bias due to selection by using traits measured before and after it has occurred. However, as the number of traits grows, a similar trend is expected for the number of parameters to be estimated, which directly affects the computing power and the amount of data required. The aim of the present study was to apply reduced rank (principal components model-PCM) and factor analytical models (FAM), to estimate (co)variance components for nineteen traits, jointly evaluated in a single analysis in Campolina horses. A total of 18 morphometric traits (MT) and one gait visual score (GtS), along with genealogical records of 48,806 horses, were analysed under a restricted maximum likelihood framework. Nine PCM, nine FAM and one standard multitrait model (MTM) were fitted to the data and compared to find the best suitable model. Based on Bayesian information criterion, the best model was the FAM option, considering five common factors (FAM5). After performing an intraclass analysis, none of MT were genetically negatively correlated, whereas GtS was negatively related to all MT, except for the genetic correlations among GtS and BLL, and between GtS and BLLBL (0.01 and 0.10 respectively). From all MT, two traits were derived computing ratios involving other traits, those had negative correlations with others MT, but all favourable for selection. Similar patterns were observed between the genetic parameters obtained from MTM and FAM5 respectively. The heritability estimates ranged from 0.09 (head width) to 0.47 (height at withers). Our results indicated that FAM was efficient to reduce the multitrait analysis dimensionality, and therefore, traits can be combined based on the first three eigenvectors from the additive genetic (co)variance matrix. In addition, there was sufficient genetic variation for selection, benefiting its potential implementation in a breeding program., (© 2021 Wiley-VCH GmbH.)

The objective of our study was to provide practical directions on the storage of genomic information and novel phenotypes (treated here as unstructured data) using a non-relational database. The MongoDB technology was assessed for this purpose, enabling frequent data transactions involving numerous individuals under genetic evaluation. Our study investigated different genomic (Illumina Final Report, PLINK, 0125, FASTQ, and VCF formats) and phenotypic (including media files) information, using both real and simulated datasets. Advantages of our centralized database concept include the sublinear running time for queries after increasing the number of samples/markers exponentially, in addition to the comprehensive management of distinct data formats while searching for specific genomic regions. A comparison of our non-relational and generic solution, with an existing relational approach (developed for tabular data types using 2 bits to store genotypes), showed reduced importing time to handle 50M SNPs (PLINK format) achieved by the relational schema. Our experimental results also reinforce that data conversion is a costly step required to manage genomic data into both relational and non-relational database systems, and therefore, must be carefully treated for large applications., (© 2021 Wiley-VCH GmbH.)

In this study, we chose 17 worldwide sheep populations of eight breeds, which were intensively selected for different purposes (meat, milk, or wool), or locally-adapted breeds, in order to identify and characterize factors impacting the detection of runs of homozygosity (ROH) and heterozygosity-rich regions (HRRs) in sheep. We also applied a business intelligence (BI) tool to integrate and visualize outputs from complementary analyses. We observed a prevalence of short ROH, and a clear distinction between the ROH profiles across populations. The visualizations showed a fragmentation of medium and long ROH segments. Furthermore, we tested different scenarios for the detection of HRR and evaluated the impact of the detection parameters used. Our findings suggest that HRRs are small and frequent in the sheep genome; however, further studies with higher density SNP chips and different detection methods are suggested for future research. We also defined ROH and HRR islands and identified common regions across the populations, where genes related to a variety of traits were reported, such as body size, muscle development, and brain functions. These results indicate that such regions are associated with many traits, and thus were under selective pressure in sheep breeds raised for different purposes. Interestingly, many candidate genes detected within the HRR islands were associated with brain integrity. We also observed a strong association of high linkage disequilibrium pattern with ROH compared with HRR, despite the fact that many regions in linkage disequilibrium were not located in ROH regions.

Objective: This article assesses the nutritional status of Indigenous women from 14 to 49 years of age in Brazil., Design: Sample size was calculated for each region considering a prevalence of 50 % for all disease outcomes, a relative error of 5 % and a CI of 95 %. In the initial data analysis, the prevalence of excess weight and obesity was calculated according to independent variables. Multivariate multilevel hierarchical analyses were conducted based on a theoretical model of two ranked blocks., Setting: The 2010 Indigenous population in Brazil was 896 000, with approximately 300 Indigenous ethnic groups, making Brazil one of the most ethnically diverse countries in the Americas and the world., Participants: Of the total target sample of 6722 women evaluated by the National Survey, thirty did not participate, 939 were not eligible for analyses due to pregnancy or unknown pregnancy status, and thirty-nine were excluded due to missing anthropometric data., Results: The evaluation of nutritional status was completed for 5714 non-pregnant women (99·3 % of eligible participants for this outcome). High prevalence rates were encountered for both excess weight (46·2 %) and obesity (15·8 %) among the sampled women. In the multivariate analyses, higher socioeconomic indicators, market-integrated living conditions and less reliance on local food production, as well as increased age and parity were associated with excess weight and obesity., Conclusion: Results point to distinct patterns of associations between socioeconomic indicators and the occurrence of excess weight and obesity among Indigenous women, which have potentially significant implications from a public policy perspective for Indigenous peoples in Brazil.

Background: A cost-effective strategy to explore the complete DNA sequence in animals for genetic evaluation purposes is to sequence key ancestors of a population, followed by imputation mechanisms to infer marker genotypes that were not originally reported in a target population of animals genotyped with single nucleotide polymorphism (SNP) panels. The feasibility of this process relies on the accuracy of the genotype imputation in that population, particularly for potential causal mutations which may be at low frequency and either within genes or regulatory regions. The objective of the present study was to investigate the imputation accuracy to the sequence level in a Nellore beef cattle population, including that for variants in annotation classes which are more likely to be functional., Methods: Information of 151 key sequenced Nellore sires were used to assess the imputation accuracy from bovine HD BeadChip SNP (~ 777 k) to whole-genome sequence. The choice of the sires aimed at optimizing the imputation accuracy of a genotypic database, comprised of about 10,000 genotyped Nellore animals. Genotype imputation was performed using two computational approaches: FImpute3 and Minimac4 (after using Eagle for phasing). The accuracy of the imputation was evaluated using a fivefold cross-validation scheme and measured by the squared correlation between observed and imputed genotypes, calculated by individual and by SNP. SNPs were classified into a range of annotations, and the accuracy of imputation within each annotation classification was also evaluated., Results: High average imputation accuracies per animal were achieved using both FImpute3 (0.94) and Minimac4 (0.95). On average, common variants (minor allele frequency (MAF) > 0.03) were more accurately imputed by Minimac4 and low-frequency variants (MAF ≤ 0.03) were more accurately imputed by FImpute3. The inherent Minimac4 Rsq imputation quality statistic appears to be a good indicator of the empirical Minimac4 imputation accuracy. Both software provided high average SNP-wise imputation accuracy for all classes of biological annotations., Conclusions: Our results indicate that imputation to whole-genome sequence is feasible in Nellore beef cattle since high imputation accuracies per individual are expected. SNP-wise imputation accuracy is software-dependent, especially for rare variants. The accuracy of imputation appears to be relatively independent of annotation classification.

This study aimed to assess the predictive ability of different machine learning (ML) methods for genomic prediction of reproductive traits in Nellore cattle. The studied traits were age at first calving (AFC), scrotal circumference (SC), early pregnancy (EP) and stayability (STAY). The numbers of genotyped animals and SNP markers available were 2342 and 321 419 (AFC), 4671 and 309 486 (SC), 2681 and 319 619 (STAY) and 3356 and 319 108 (EP). Predictive ability of support vector regression (SVR), Bayesian regularized artificial neural network (BRANN) and random forest (RF) were compared with results obtained using parametric models (genomic best linear unbiased predictor, GBLUP, and Bayesian least absolute shrinkage and selection operator, BLASSO). A 5-fold cross-validation strategy was performed and the average prediction accuracy (ACC) and mean squared errors (MSE) were computed. The ACC was defined as the linear correlation between predicted and observed breeding values for categorical traits (EP and STAY) and as the correlation between predicted and observed adjusted phenotypes divided by the square root of the estimated heritability for continuous traits (AFC and SC). The average ACC varied from low to moderate depending on the trait and model under consideration, ranging between 0.56 and 0.63 (AFC), 0.27 and 0.36 (SC), 0.57 and 0.67 (EP), and 0.52 and 0.62 (STAY). SVR provided slightly better accuracies than the parametric models for all traits, increasing the prediction accuracy for AFC to around 6.3 and 4.8% compared with GBLUP and BLASSO respectively. Likewise, there was an increase of 8.3% for SC, 4.5% for EP and 4.8% for STAY, comparing SVR with both GBLUP and BLASSO. In contrast, the RF and BRANN did not present competitive predictive ability compared with the parametric models. The results indicate that SVR is a suitable method for genome-enabled prediction of reproductive traits in Nellore cattle. Further, the optimal kernel bandwidth parameter in the SVR model was trait-dependent, thus, a fine-tuning for this hyper-parameter in the training phase is crucial., (© 2020 Stichting International Foundation for Animal Genetics.)

Birth weight is an important predictor of perinatal, infant, and preschool-age children morbimortality. However, information about indigenous children's birth weight is still scarce. This study aimed to analyze the birth weight of indigenous children based on data from the First National Survey of Indigenous People's Health and Nutrition, Brazil (2008-2009). This is the first study to address indigenous children's birth weight based on a nationwide representative sample. Mean birth weights and the respective standard deviations were calculated according to geopolitical region, sex, type of birth, and birthplace. The chi-square test was used to analyze differences in proportions, and Kruskal-Wallis and Mann-Whitney U tests in means, considering sample design and data normality. We found no records on birth weight in the researched documents for 26.7% of the 6,128 sampled children. The mean birth weight for the 3,994 children included in the analyses was 3,201g (standard deviation - SD ± 18.6g), regardless of sex, type of birth, and birthplace. The prevalence of low birth weight was 7.6% (n = 302) and was significantly higher among girls. Boys presented significantly higher mean birth weight than girls, regardless of the geopolitical region. Low birth weight was slightly less frequent among indigenous children when compared to Brazilian children in general. Our study indicates the need to improve prenatal care and the quality of consultation records for indigenous women as a strategy to promote safe pregnancy and childbirth.

Amazonian Dark Earths (ADEs) are unusually fertile soils characterised by elevated concentrations of microscopic charcoal particles, which confer their distinctive colouration. Frequent occurrences of pre-Columbian artefacts at ADE sites led to their ubiquitous classification as Anthrosols (soils of anthropic origin). However, it remains unclear how indigenous peoples created areas of high fertility in one of the most nutrient-impoverished environments on Earth. Here, we report new data from a well-studied ADE site in the Brazilian Amazon, which compel us to reconsider its anthropic origin. The amounts of phosphorus and calcium-two of the least abundant macronutrients in the region-are orders of magnitude higher in ADE profiles than in the surrounding soil. The elevated levels of phosphorus and calcium, which are often interpreted as evidence of human activity at other sites, correlate spatially with trace elements that indicate exogenous mineral sources rather than in situ deposition. Stable isotope ratios of neodymium, strontium, and radiocarbon activity of microcharcoal particles also indicate exogenous inputs from alluvial deposition of carbon and mineral elements to ADE profiles,  beginning several thousands of years before the earliest evidence of soil management for plant cultivation in the region. Our data suggest that indigenous peoples harnessed natural processes of landscape formation, which led to the unique properties of ADEs, but were not responsible for their genesis. If corroborated elsewhere, this hypothesis would transform our understanding of human influence in Amazonia, opening new frontiers for the sustainable use of tropical landscapes going forward.

Research in several Latin American countries points to violence, loss of traditional territories, and seeking education, health, and wage labor as key variables in triggering rural-urban migration among Indigenous people. This study presents an analysis of the migration patterns of Indigenous people in Brazil, compared to non-indigenous people, based on data from the most recent national census, conducted in 2010. Migration characteristics related to lifetime migration and recent migration were investigated by means of descriptive and multivariable logistic regression analyses. The findings pointed to complex mobility scenarios according to migrants' Indigenous status and geographical regions of origin and destination. Indigenous people living in urban areas presented high levels of mobility (approximately 50% lived in different municipalities from those where they were born), which were more pronounced than those of non-Indigenous people. Indigenous people living in rural areas presented the lowest levels of migration (approximately 90% residing in their municipality of birth). Statistical modeling confirmed the patterns observed in descriptive analysis, highlighting the marked mobility of Indigenous subjects in urban areas. We emphasize the limitations of using census data for characterizing Indigenous mobility profiles, although no other nationally representative data are available. The finding that the Indigenous population living in urban areas presents rates of migration higher than their non-Indigenous counterparts is particularly important for the planning and implementation of a broad range of public policies aimed at ethnic minorities in the country, including health, education, and housing initiatives., Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest., (© The Author(s) 2021.)

In the intestinal lumen, excess of oxides and sulfates interfere with the absorption of minerals due to competition from the same absorption site. Amino acids-mineral complexed (AACM) is intended to minimize these problems, which might be absorbed by different absorption sites. Then, a study including Zinc (Zn), Manganese (Mn) and Copper (Cu) from different sources was carried out to evaluate the performance, blood parameters and reproductive organs development of Brown Laying Hens. A total of 800 Lohmann Brown Lite were fed, from one-day-old to 182-days-old, Zn, Mn and Cu from different sources. Measurements were made from 105 to 182-days-old. The laying hens were distributed according to a completely randomized design with 20 replicates and 20 birds per experimental unit. The treatments consisted of a diet supplemented with 70, 70 and 8 mg/kg of Zn, Mn and Cu; respectively, from inorganic sources (IM). The second treatment contained 40, 40 and 2.75 mg/kg of Zn, Mn and Cu, respectively from IM plus 30, 30 and 5.25 mg/kg of Zn, Mn and Cu; respectively, from AACM sources. Performance and reproductive organs development (oviduct and ovary weight), tibia weight, liver weight, egg output and body weight, and blood variables were evaluated. Data were compared by Student's t-test (P < 0.05). Laying hens fed AACM reached 35% of egg output two days earlier and presented heavier tibia bone than the IM group. Those hens also presented greater oviduct weight, greater hematocrit and greater serum concentration of total leukocytes, erythrocytes, eosinophils, monocytes and the hormones T4 and FSH, than the hens fed IM. The supplementation of AACM in laying hens' diets since one-day-old improves the productive performance from the beginning of egg output to peak production, which is justified by better development of bones and oviduct, hormone production and immune system support., Competing Interests: The authors have declared that no competing interests exist.

Given the challenges related to reducing socio-economic and health inequalities, building specific health system approaches for Indigenous peoples is critical. In Brazil, following constitutional reforms that led to the universalization of health care in the late 1980s, a specific health subsystem was created for Indigenous peoples in 1999. In this paper, we use a historical perspective to contextualize the creation of the Indigenous Health Subsystem in Brazil. This study is based on data from interviews with Indigenous and non-Indigenous subjects and document-based analysis. In the 1980s, during the post-dictatorship period in Brazil, the emergence of Indigenous movements in the country and the support for pro-Indigenous organizations helped establish a political agenda that emphasized a broad range of issues, including the right to a specific health policy. Indigenous leaders established alliances with participants of the Brazilian health reform movement, which resulted in broad debates about the specificities of Indigenous peoples, and the need for a specific health subsystem. We highlight three main points in our analysis: (1) the centrality of a holistic health perspective; (2) the emphasis on social participation; (3) the need for the reorganization of health care. These points proved to be convergent with the development of the Brazilian health reform and were expressed in documents of the Indigenist Missionary Council (CIMI) and the Union of Indigenous Nations (UNI). They were also consolidated in the final report of the First National Conference on the Protection of Indigenous Health in 1986, becoming the cornerstone of the national Indigenous health policy declared in 1999. Our analysis reveals that Indigenous people and pro-Indigenous groups were key players in the development of the Indigenous Health Subsystem in Brazil., (© The Author(s) 2020. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)

This study compares the availability of basic sanitation infrastructure in indigenous and nonindigenous household located in urban and rural areas using data from the 2000 and 2010 Brazilian National Censuses. The analyses were based on descriptive statistics and modelling with multiple logistic regression. While there was an increase in the availability of basic sanitation in Brazilian households over the decade, indigenous households continued to have worse conditions in 2010. Sewage was the sanitation service with the lowest coverage in both censuses, and indigenous households had a lower rate of sewage services than nonindigenous households did. Logistic regression results confirmed the findings of the descriptive analyses, attesting to the fact that sanitation conditions are worse in indigenous households. In some areas, such as the urban North and Southeast and rural areas of the Central-West region, the gap in basic sanitation infrastructure between indigenous and nonindigenous households increased from 2000 to 2010. This study not only indicates the less-adequate sanitation conditions in indigenous households in Brazil but also attests to the persistence of major inequalities associated with race or color in the country.

Most of the knowledge about genetic variants at the sequence level in cattle is for Bos primigenius taurus populations. Here, we presented a complete genomic characterization of 52 Nellore (Bos primigenius indicus) bulls, revealing specific zebu DNA variants with putative impact in tropical adaptation and productive traits. Single nucleotide polymorphisms (SNPs) and insertion/deletion (INDELs) mutations were identified using the newest bovine reference genome ARS&#95;UCD1.2, and variant functional consequences were predicted using the Ensembl VEP software. A total of 35,753,707 SNPs and 4,492,636 INDELs were detected and annotated to their functional effects. We identified 400 genes that comprised both, a SNP and an INDEL, of high functional impact on proteins (i.e. variants that cause protein truncation, loss of function or triggering nonsense-mediated decay). Among these, we highlight the following genes: BoLA, associated with cattle immune response to infections and reproduction aspects; HSPA8, DNAJC27, and DNAJC28, involved with thermoregulatory protective mechanisms in mammals; and many olfactory signaling pathway related genes that are important genetic factors in the evolution of mammalian species. All these functional aspects are directly related to cattle adaptability to tropical environments.

Highlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N = 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via F ST and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77-65.25 Mb) and 14 (22.81-23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with F ST and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomic similarity between Angus subpopulations, with noticeable signals of divergent selection in genomic regions associated with the adaptation in different environments.

The potential of dams as oocyte donors can be a selection criterion for animal breeding programs, but also an involuntary driver of the process. In both cases, it is important to determine genetic components influencing the outcome of in vitro embryo production (IVEP). The objective of the present study was to perform a detailed genetic analysis for in vitro embryo production traits in Dairy Gir cows. A dataset containing 11,450 records of ovum pick-up (OPU) and in vitro fertilization (IVF) procedures from 2684 Dairy Gir donors was evaluated. Analyzed traits were number (N OV ) and percentage (P OV ) of viable oocytes; number (N GI ) and percentage (P GI ) of grade I oocytes; number (N EMB ) and percentage (P EMB ) of viable embryos. All analyzes were performed using animal models by a Bayesian framework. Heritability estimates varied from 0.16 to 0.32 for count traits and from 0.01 to 0.06 for percentage traits. The proportion of the total variation represented by the additive genetic effect of sire (semen used in IVF) for N EMB and P EMB was 7% and 5% respectively. Associations between estimated breeding values from progeny tested bulls for IVEP traits, milk production, age at first calving and conformation traits were mainly low or close to zero. Results indicate that selection for IVEP traits is possible in Dairy Gir cattle and would not impair genetic progress for traits already considered as selection criteria. The N OV seems to be a promising target trait. However, a selection index could help to avoid the use of sires with negative genetic merit for percentage traits, minimizing possible deterioration in the long term., Competing Interests: Declaration of competing interest The authors declare that there are no conflicts of interest to this publication., (Copyright © 2020 Elsevier Inc. All rights reserved.)

This study was carried out to evaluate the effect of natural ventilation and intermittent pumping events in hydrogen sulfide and methane dynamics, in terms of system operation and risk of gas exposure. Work was conducted in a full scale gravity sewer downstream of pumping stations, in Portugal. Different ventilation rates and locations were assessed, as well as H 2 S removal rates and potential exposure risk, through the opening of distinct manhole covers. Increased ventilation, resulting from opening of one manhole cover, saw a 38% increase in average pipe air velocity peaks, doubling the estimated rate of air turnovers per day, accompanied by an increase of nearly 20% in H 2 S average removal rate. Simultaneous opening of two manhole covers induced similar airflow rates through the vent stack, but different rates throughout the pipe. H 2 S removal rates were also found to differ, according to location of open manholes, but also initial H 2 S headspace concentration. Under more unfavourable conditions, natural ventilation did not suffice in attaining recommended safety concentrations, regardless of number and location of open manhole covers. H 2 S concentrations above defined thresholds were verified for all studied setups. Headspace oxygen concentrations below an 18.5% asphyxiation threshold also occasionally occurred, even at manholes immediately downstream of ventilation point.

Indigenous peoples worldwide are highly disadvantaged compared to national baseline populations. Given historical challenges to accessing relevant data for Brazil, the present study innovates by using 2010 Brazilian National Demographic Census data to estimate mortality curves in Indigenous children and adolescents <20 years. The non-parametric smoothing approach TOPALS (tool for projecting age-specific rates using linear splines) was employed. Analyses included stratifications by sex, rural or urban residence, and geopolitical region. The mortality of children and adolescents classified as Indigenous was higher for all analyzed strata. Mortality of Indigenous and non-Indigenous individuals in rural areas was higher than those in urban areas in almost all strata analyzed. Mortality levels in the Indigenous segment exceed those of children and adolescents classified as non-Indigenous in all four geopolitical regions, with few exceptions. This is the first study to compare mortality curves of children and adolescents in Brazil according to social variables based on national census data. More Indigenous children and adolescents die than their non-Indigenous counterparts, including those classified as black or brown, in both rural and urban residential settings. Indigenous children and adolescents are consistently at the most disadvantaged end of a marked gradient of ethnic-racial inequality in Brazil, independently of sex, age, and geopolitical region., Competing Interests: We declare no competing interests. Study sponsors had no involvement in study design, data analysis, interpretation of data, writing of the report, or the decision to submit the paper for publication., (© 2020 The Authors.)

Background: Impaired fertility in cattle limits the efficiency of livestock production systems. Unraveling the genetic architecture of fertility traits would facilitate their improvement by selection. In this study, we characterized SNP chip haplotypes at QTL blocks then used whole-genome sequencing to fine map genomic regions associated with reproduction in a population of Nellore ( Bos indicus ) heifers., Methods: The dataset comprised of 1337 heifers genotyped using a GeneSeek® Genomic Profiler panel (74677 SNPs), representing the daughters from 78 sires. After performing marker quality control, 64800 SNPs were retained. Haplotypes carried by each sire at six previously identified QTL on BTAs 5, 14 and 18 for heifer pregnancy and BTAs 8, 11 and 22 for antral follicle count were constructed using findhap software. The significance of the contrasts between the effects of every two paternally-inherited haplotype alleles were used to identify sires that were heterozygous at each QTL. Whole-genome sequencing data localized to the haplotypes from six sires and 20 other ancestors were used to identify sequence variants that were concordant with the haplotype contrasts. Enrichment analyses were applied to these variants using KEGG and MeSH libraries., Results: A total of six (BTA 5), six (BTA 14) and five (BTA 18) sires were heterozygous for heifer pregnancy QTL whereas six (BTA 8), fourteen (BTA 11), and five (BTA 22) sires were heterozygous for number of antral follicles' QTL. Due to inadequate representation of many haplotype alleles in the sequenced animals, fine mapping analysis could only be reliably performed for the QTL on BTA 5 and 14, which had 641 and 3733 concordant candidate sequence variants, respectively. The KEGG "Circadian rhythm" and "Neurotrophin signaling pathway" were significantly associated with the genes in the QTL on BTA 5 whereas 32 MeSH terms were associated with the QTL on BTA 14. Among the concordant sequence variants, 0.2% and 0.3% were classified as missense variants for BTAs 5 and 14, respectively, highlighting the genes MTERF2 , RTMB , ENSBTAG00000037306 (miRNA), ENSBTAG00000040351, PRKDC , and RGS20 . The potential causal mutations found in the present study were associated with biological processes such as oocyte maturation, embryo development, placenta development and response to reproductive hormones., Conclusions: The identification of heterozygous sires by positionally phasing SNP chip data and contrasting haplotype effects for previously detected QTL can be used for fine mapping to identify potential causal mutations and candidate genes. Genomic variants on genes MTERF2 , RTBC , miRNA ENSBTAG00000037306, ENSBTAG00000040351, PRKDC , and RGS20, which are known to have influence on reproductive biological processes, were detected., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s). 2019.)

Vasovagal reflex is the most common cause of syncope. Pacemaker with rate drop response (RDR) or closed-loop stimulation (CLS) anti-syncope algorithms have been studied in recurrent vasovagal syncope (VVS), with conflicting results. We aim to investigate the role of pacemaker therapy and anti-syncope pacing mode in cardioinhibitory recurrent VVS. MEDLINE, Cochrane Library and registered clinical trials were searched for single or double-blind randomized controlled trials on pacing as a treatment for recurrent VVS. Five studies were eligible, overall enrolling 228 patients. After pooling data from all trials, pacemaker therapy showed a 63% reduction in syncope recurrence compared to control [Risk Ratio (RR): 0.37; 95% CI: 0.14-0.98; I 2  = 67%)]. Subgroup analyses suggested that the effect was greater in single-blind studies (RR: 0.07; 95% CI: 0.01-0.52, I 2  = 0%). When comparing pacing algorithms, the results from RDR versus no pacing trials (n = 2) did not show a significant reduction in syncope recurrence (RR: 0.73; 95% CI: 0.25-2.16, I 2 60 = 75%). In contrast, the data from the CLS versus standard pacing trials (n = 3) evidenced a statistically meaningful reduction in syncopal burden (RR: 0.18; 95% CI: 0.07-0.47, I 2  = 0%). It is unclear whether pacemaker therapy reduces syncopal burden in cardioinhibitory recurrent VVS. However, our results suggest effectiveness of CLS pacing mode., (© 2019 Wiley Periodicals, Inc.)

This study aimed to analyze the presence of basic sanitation services in households with children under five years of age located in urban areas of Brazil, with a focus on indigenous children. This cross-sectional study was based on data from the 2010 Population Census. We calculated the rates of households with running water (public system), sewage disposal (public system or septic tanks), and garbage collection (directly or via public dumpsters). Multiple logistic regression (MLR) models were used to estimate associations between color/race and presence of sanitation services, based on odds ratios (OR). The study considered Brazil's urban metropolitan areas and stratified the results by major geographic region. Significance was set at 5%. The lowest frequencies were for sewage disposal, and all the rates were lower for indigenous people. MLR analyses included 29 comparisons (48.3%) in which households with indigenous children (compared to other color/race categories) were at a disadvantage, especially in the South of Brazil, where all comparisons were negative for indigenous households. Similar results appeared in metropolitan areas. The results thus suggest inequalities basic sanitation services based on color/race, where indigenous people are generally at a disadvantage, especially in the South of Brazil. Given the relationship between sanitation and health, as already demonstrated in the literature, these results can partly explain the low health levels in indigenous children in Brazil.

This study assesses prenatal care for indigenous women 14-49 years of age with children under five years of age in Brazil. The First National Survey of Indigenous People's Health and Nutrition assessed 3,967 women who met these criteria, of whom 41.3% in the North, 21.2% in the Central, 22.2% in the Northeast, and 15% in the South/Southeast. Prenatal care was offered to 3,437 (86.6%) of these women. The North of Brazil showed the highest proportion of indigenous women who did not receive prenatal care. Coverage was 90.4%, but only some 30% began prenatal care in the first trimester, and only 60% of the eligible women were vaccinated for diphtheria and tetanus. Only 16% of indigenous pregnant women had seven or more prenatal visits. Access to at least one clinical-obstetric consultation was found in 97% of the records, except for breast examination (63%). Laboratory test rates were low (blood glucose 53.6%, urinalysis 53%, complete blood count 56.9%, Pap smear 12.9%, syphilis test 57.6%, HIV serology 44.2%, hepatitis B 53.6%, rubella 21.4%, and toxoplasmosis 32.6%), as was prescription of ferrous sulfate (44.1%). As a whole, the proportion of orders for recommended laboratory tests was only 53%. The percentages of prenatal care procedures for indigenous women are lower than for non-indigenous Brazilian women as a whole, and are even lower than among women in regions with high social vulnerability and low healthcare coverage, like the Legal Amazonia and the Northeast. The results confirm the persistence of ethnic-racial inequalities that compromise the health and well-being of indigenous mothers.

The main objective of this study was to verify genetic trends for milk production (MY305) and age at first calving (AFC). Were also considered levels of inbreeding practiced in the Brazilian dual-purpose Guzerá population (T POP ) comparing it with the same parameters estimated for two sub-populations derived from the reference (T POP ): female donors submitted to ovum-pick up (D POP ) and in vitro embryos produced (E POP ) between 2003 and 2013. Estimated breeding values (EBV) and inbreeding coefficients (F) were regressed by the year of birth (or year of in vitro fertilization) of each animal or embryo in order to obtain annual trends for these parameters separately for each of the three populations studied. A positive quadratic (β 2  = +0.000075) effect was detected for the F values in T POP . Both D POP and E POP showed positive linear coefficients (β 1 ), respectively, +0.00084 (P < 0.001) and +0.00024 (P > 0.05). Annual mean F for E POP was higher than T POP and D POP through the time series studied. The frequency of individuals with more than 7% F was higher in D POP . Genetic trends for AFC were -0.187 days/year (P > 0.05); -0.557 days/year (P < 0.05) and -1.48 days/year (P < 0.05), respectively for T POP ; D POP and E POP . Genetic trends for MY305 were +6.75 kg/year (P < 0.001); +8.2 kg/year (P < 0.001) and +10.5 kg/year (P < 0.05), respectively for T POP ; D POP and E POP . For both traits analyzed, E POP showed the highest regression coefficients, which confirms a higher selection pressure and lower generation intervals previously expected from this sub-population. Results reported in the present study suggest that mean F is increasing in the Guzerá population. Efforts for controlling inbred mating on in vitro fertilization should be considered, as the presence of a bottleneck effect seems to be getting shape on D POP and E POP ., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Gas pollutants emitted during wastewater transport contribute to atmospheric pollution, aggravated risks for utility workers, infrastructure corrosion, and odour nuisance. Field studies have shown that is difficult to effectively obtain reliable correlations between in-sewer air movement and gas pollutant concentrations. This study aimed at investigating the influence of different ventilation and operating conditions in H 2 S and CH 4 horizontal and vertical movement in a section of a gravity sewer, downstream of a pumping station. Relevant liquid and gas phase quality parameters were monitored, and significant H 2 S concentrations were measured (with lower contents of CH 4 ). Results evidenced that headspace temperature and ventilation played a key effect when analysing H 2 S and CH 4 dynamics. Setups with a similar content of sulfide and chemical oxygen demand resulted in different H 2 S and CH 4 headspace concentrations. It was also observed that an increase in ventilation resulted in a decrease of average headspace relative humidity of over 70%, with clear implications in corrosion potential estimates. Another interesting observation was that the wastewater drag induced by intermittent pumping, in absence of ingassing, originated pressure differences of up to 0.2 Pa m -1 between studied manholes. This differential originated a wave pattern of gas moving upstream and downstream, thus resulting in several gas peaks per pumping event, at the same sections. In addition, in confined setups, full mixing was not observed along the manholes.

Objective: To compare infant mortality rates of indigenous and non-indigenous children according to microregions in Brazil., Method: The study was based on data from the 2010 Population Census and from the Mortality Information System. Rates and proportions were calculated using data from 558 microregions., Results: Indigenous children presented a higher risk of dying before completing one year of age (60% higher compared to non-indigenous), and rates were higher in microregions with < 1%  of indigenous population. Seven out of 10 deaths were in children over one month of age and were mostly caused by infectious diseases., Conclusion: In general, indigenous children die mostly due to preventable causes. The study shows that there are important differences in the levels of infant mortality between indigenous and non-indigenous children in Brazil, even in geographical areas with increased presence of indigenous population.

The objective of the present study was to investigate the impact of considering population structure in cow genotyping strategies over the accuracy and bias of genomic predictions. A small dairy cattle population was simulated to address these objectives. Based on four main traditional designs (random, top-yield, extreme-yield and top-accuracy cows), different numbers (1,000; 2,000 and 5,000) of cows were sampled and included in the reference population. Traditional designs were replicated considering or not population structure and compared among and with a reference population containing only bulls. The inclusion of cows increased accuracy in all scenarios compared with using only bulls. Scenarios accounting for population structure when choosing cows to the reference population slightly outperformed their traditional versions by yielding higher accuracy and lower bias in genomic predictions. Building a cow-based reference population from groups of related individuals considering the frequency of individuals from those same groups in the validation population yielded promising results with applications on selection for expensive- or difficult-to-measure traits. Methods here presented may be easily implemented in both new or already established breeding programs, as they improved prediction and reduced bias in genomic evaluations while demanding no additional costs., (© 2018 Blackwell Verlag GmbH.)

Cryptic relatedness is a confounding factor in genetic diversity and genetic association studies. Development of strategies to reduce cryptic relatedness in a sample is a crucial step for downstream genetic analyses. This study uses a node selection algorithm, based on network degrees of centrality, to evaluate its applicability and impact on evaluation of genetic diversity and population stratification. 1,036 Guzerá (Bos indicus) females were genotyped using Illumina Bovine SNP50 v2 BeadChip. Four strategies were compared. The first and second strategies consist on a iterative exclusion of most related individuals based on PLINK kinship coefficient (φij) and VanRaden's φij, respectively. The third and fourth strategies were based on a node selection algorithm. The fourth strategy, Network G matrix, preserved the larger number of individuals with a better diversity and representation from the initial sample. Determining the most probable number of populations was directly affected by the kinship metric. Network G matrix was the better strategy for reducing relatedness due to producing a larger sample, with more distant individuals, a more similar distribution when compared with the full data set in the MDS plots and keeping a better representation of the population structure. Resampling strategies using VanRaden's φij as a relationship metric was better to infer the relationships among individuals. Moreover, the resampling strategies directly impact the genomic inflation values in genomewide association studies. The use of the node selection algorithm also implies better selection of the most central individuals to be removed, providing a more representative sample., (© 2017 John Wiley & Sons Ltd.)

Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the use of tools to routinely monitor and collect information from animals and farms in a less laborious manner than before. These efforts have enabled the animal sciences to embark on information technology-driven discoveries to improve animal agriculture. However, the growing amount and complexity of data generated by fully automated, high-throughput data recording or phenotyping platforms, including digital images, sensor and sound data, unmanned systems, and information obtained from real-time noninvasive computer vision, pose challenges to the successful implementation of precision animal agriculture. The emerging fields of machine learning and data mining are expected to be instrumental in helping meet the daunting challenges facing global agriculture. Yet, their impact and potential in "big data" analysis have not been adequately appreciated in the animal science community, where this recognition has remained only fragmentary. To address such knowledge gaps, this article outlines a framework for machine learning and data mining and offers a glimpse into how they can be applied to solve pressing problems in animal sciences.