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Silicon (Si) is a chemical element that is not yet considered essential for plants. However, over the past few decades, an increasing number of scientifi c studies have focused on the role of Si in soil-plant interactions. At the same time, many countries are leading the development and use of silicon-based fertilizers. Si can be taken up by plants predominantly in a mobile form (H4SiO4) in the soil through both passive and active uptake mechanisms. Therefore, Scopus data from 2012 to 2022 were used to understand the implementation and current status of research on the benefi cial effects of silicon fertilizers on soil and plants and the role of soil forms of silicon in improving soil quality. A bibliometric study of articles published in the database on the role of Si in soil and silicon fertilizers was carried out. Various tools, such as Microsoft Offi ce Excel 2021, VOS Viewer and Mapchart.net were used in this study. The fi nal literature includes 440 articles, 82% of which are scientifi c. Over the past decade, the number of published articles has increased signifi cantly. For example, in the years 2021–2022, a total of 91 articles were published, which is six times higher than the number of articles published in 2012–2013 (15 articles). This signifi cant increase in publications highlights the growing interest in the role Si and Si fertilizer research. It was found around 32.04% of China, 13.2% of the USA and 9.8% of Brazil the reviewed publications focused on the role of Si and Si fertilizers studies. Among the authors who published the most articles on this topic during the selected period are Wang X. (with 12 articles), Liang Yu., Rizwan M. and Ali S. (each with 8 articles). [ABSTRACT FROM AUTHOR]

Studies on zooplankton in lakes, ponds, and rivers have always received more attention, while zooplankton from streams remains understudied worldwide. Therefore, the role of zooplankton in neotropical stream functioning is still poorly understood. In order to remedy this situation, we aimed to answer the following questions: (1) How many papers have been published on the zooplankton from Brazilian streams? (2) In which hydrographic regions were these studies conducted? (3) Are there specific patterns of zooplankton species occurrence in neotropical streams? (4) What are the main types of studies and what are the main environmental factors influencing zooplankton in streams? In order to answer these questions, we performed a systematic review of indexed scientific papers. We indeed observed a paucity of studies on zooplankton in Brazilian streams. But despite the low number of studies (24), many species (276 taxa) were reported from seven Brazilian hydrographic regions. The species composition showed great variability within the hydrographic regions and fourteen environmental variables (physical, chemical, and spatial), which can represent environmental filters and influence dispersion processes, were related to zooplankton occurrences. These bibliographic data helped to clarify patterns in species composition and community structure of zooplankton in these streams. More studies are needed to further investigate the role of zooplankton in neotropical streams, which can help to develop conservation strategies. [ABSTRACT FROM AUTHOR]

This paper presents an innovative experience involving students and professors from diverse backgrounds and regions that was designed to integrate corporate sustainability (CS) knowledge into undergraduate programs. An action research approach was adopted, with the course running over one semester. The course involved 146 students with diverse academic backgrounds from universities across Brazil along with eight professors from Brazil, Chile, and South Africa. The proposed approach provides actionable insights into the integration of sustainability concepts in the higher educational setting, thereby contributing to the development of a more environmentally and socially conscious generation of professionals. The learning outcomes are discussed in the light of the Sustainable Development Goal (SDG) Agenda, particularly SDG 7 (affordable and clean energy), SDG 9 (industry, innovation, and infrastructure), and SDG 13 (climate action). In addition, it is important to highlight that the dissemination of the course's key features can be useful for universities, professors, and researchers engaged in training future professionals capable of addressing real-world problems of innovation and sustainability. By employing an action research methodology and fostering collaboration among students and professors with diverse academic backgrounds and from different countries, including Brazil, Chile, and South Africa, this paper presents a multiregional and interdisciplinary perspective that sets it apart from conventional practices. The emphasis on providing actionable insights and its potential applicability for universities, professors, and researchers involved in training future professionals further underscore its distinctive contribution to education for sustainable development. [ABSTRACT FROM AUTHOR]

In 1926, a New York Times article described the cultural and ethnic flows in south Brazil as a "Melting Pot". The report predicted that German Brazilians, tied to their ethnoracial origin, would soon be Brazilianized. The study of congregational song practices offers insight into the relationship between migration, race, culture, and ethnicity. Moreover, investigating Brazilian Lutheran singing practices helps us understand how the New York Times' prediction unfolded on the ground. This paper examines the Brazilian Lutheran hymnal Livro de Canto, published in 2017, and displays how Brazil's ethnoracial diversity is manifested and negotiated in the Lutheran context, both musically and theologically. By interviewing members of the hymnal committee and investigating how they dealt with Brazil's ethnoraciality in the context of the hymnal compilation, this paper demonstrates ways denominations and churchgoers negotiate theological, cultural, musical, and ethnoracial identities through congregational singing. More importantly, it showcases how Brazilian Lutheran church music practices inform broader social conversations around racism, nationalism, Blackness, and Brazilianness. [ABSTRACT FROM AUTHOR]

Background: Brazil is one of the countries with the highest rates of caesarean sections (CS), reaching almost 90% of births in the private sector. A quality improvement project called "Adequate Childbirth Project (PPA)" was conceived to reduce CS in the private sector. This project consisted of four primary components: "Governance", "Participation of Women", "Reorganization of Care" and "Monitoring". This paper aims to evaluate: (1) which specific activities of the PPA had the largest effect on the probability of a woman having a vaginal delivery; (2) which primary component of the PPA had the largest effect on the probability of vaginal delivery and (3) which scenarios combining the implementation of different activities planned in the PPA had a higher effect on the probability of vaginal delivery. Methods: A sample of 12 private hospitals participating in the PPA was evaluated. We used a Bayesian Network (BN) to capture both non-linearities and complex cause-effect relations. The BN integrated knowledge from experts and data from women to estimate 26 model parameters. The PPA was evaluated in 2473 women belonging to groups 1–4 of the Robson classification, who were divided into two groups: those participating or not participating in the PPA. Results: The probability of a woman having a vaginal delivery was 37.7% higher in women participating in the PPA. The most important component of the project that led to an increase in the probability of vaginal delivery was "Reorganization of Care", leading to a 73% probability of vaginal delivery among women in labor. The activity that had the greatest effect on the type of delivery was access to best practices during labor, with a 72% probability of vaginal delivery. Considering the 12 scenarios combining the different activities of the PPA, the best scenarios included: a non-scheduled delivery, access to information about best practices, access to at least 4 best practices during labor and respect of the birth plan, with an 80% probability of vaginal delivery in the best combinations. Conclusion: PPA has been shown to be an effective quality improvement program, increasing the likelihood of vaginal delivery in private Brazilian hospitals. Plain English Summary: Introduction: Brazil boasts one of the highest rates of caesarean sections (CS) globally, with nearly 90% of births in private facilities being delivered via CS. In response, the 'Adequate Childbirth Project – PPA' was launched as a quality improvement initiative aimed at curbing CS rates in private healthcare. Its goal is to improve the quality of childbirth and reduce the number of CS in private healthcare. The project has four main parts: 'Governance', 'Participation of Women', 'Reorganization of Care', and 'Monitoring'. Method: an evaluative study was conducted across 12 private hospitals involved in the PPA, involving 2473 women who were categorized into PPA participants and non-participants. They used a method called a cause-effect network to see which parts of the PPA helped more women have vaginal deliveries. Results: They found that women in the PPA were 37.7% more likely to have a vaginal delivery. Giving women access to good practices during labor and birth was really important. Also, 'Reorganization of Care' was the most important part of the project. It led to a 73% chance of vaginal delivery for women in labor. Conclusion: The PPA is effective in helping more women in private hospitals have vaginal deliveries. This means it's a good program for improving childbirth in Brazil's private hospitals. [ABSTRACT FROM AUTHOR]

The Zika virus (ZIKV) is a serious global public health crisis. A major control challenge is its multiple transmission modes. This paper aims to simulate the transmission patterns of ZIKV using a dynamic process-based epidemiological model written in ordinary differential equations, which incorporates the human-to-mosquito infection by bites and sewage, mosquito-to-human infection by bites, and human-to-human infection by sex. Mathematical analyses are carried out to calculate the basic reproduction number and backward bifurcation, and prove the existence and stability of the equilibria. The model is validated with infection data by applying it to the 2015–2016 ZIKV epidemic in Brazil. The results indicate that the reproduction number is estimated to be 2.13, in which the contributions by mosquito bite, sex and sewage account for 85.7%, 3.5% and 10.8%, respectively. This number and the morbidity rate are most sensitive to parameters related to mosquito ecology, rather than asymptomatic or human-to-human transmission. Multiple transmission routes and suitable temperature exacerbate ZIKV infection in Brazil, and the vast majority of human infection cases were prevented by the intervention implemented. These findings may provide new insights to improve the risk assessment of ZIKV infection. [ABSTRACT FROM AUTHOR]

In Brazilian higher education institutions, English as a Medium of Instruction (EMI) courses and workshops play a key role in helping professors to rethink their methodology and their concepts of language, especially regarding English conceived as a lingua franca. In an attempt to bring a local perspective for EMI, this paper examines university professors' representations on an online EMI course for professors from nine public universities in Paraná. It is grounded on the concept of representation from critical discourse analysis. The results reveal the beliefs and motivations of the participants concerning EMI in Brazil. The motivations for EMI were related to language use/practice; the status of English in the world and in the scientific scenario or field of study; and internationalization reasons. On the other hand, the challenges were associated with language aspects and students' participation. In relation to the online course, results indicated that there were more potentialities than limitations and that the course had an impact on the resignification of concepts, especially related to English as a Lingua Franca as this perspective has the potential to transform professors' views on language conception and use of Portuguese in the classes. [ABSTRACT FROM AUTHOR]

Brazil counts among the countries the hardest hit by the Covid-19 pandemic. A great deal has been said about the negative role played by President Bolsonaro's denialism, but relatively few studies have attempted to measure precisely what impact it actually had on the pandemic. Our paper conducts econometric estimates based on observational data at municipal level to quantitatively assess the 'Bolsonaro effect' over time from March 2020 to December 2022. To our knowledge, this paper presents the most comprehensive investigation of Bolsonaro's influence in the spread of the pandemic from two angles: considering Covid-19 mortality and two key transmission mitigation channels (social distancing and vaccination); and exploring the full pandemic cycle (2020–2022) and its dynamics over time. Controlling for a rich set of relevant variables, our results find a strong and persistent 'Bolsonaro effect' on the death rate: municipalities that were more pro-Bolsonaro recorded significantly more fatalities. Furthermore, evidence suggests that the president's attitude and decisions negatively influenced the population's behaviour. Firstly, pro-Bolsonaro municipalities presented a lower level of compliance with social distancing measures. Secondly, vaccination was relatively less widespread in places more in favour of the former president. Finally, our analysis points to longer-lasting and damaging repercussions. Regression results are consistent with the hypothesis that the 'Bolsonaro effect' impacted not only on Covid-19 vaccination, but has affected vaccination campaigns in general thereby jeopardizing the historical success of the National Immunization Program in Brazil. [ABSTRACT FROM AUTHOR]

The emerging energy transition is particularly described as a move towards a cleaner, lower-carbon system. In the context of the global shift towards sustainable energy sources, this paper reviews the potential and roadmap for hydrogen energy as a crucial component of the clean energy landscape. The primary objective is to present a comprehensive literature overview, illuminating key themes, trends, and research gaps in the scientific discourse concerning hydrogen production and energy policy. This review focuses particularly on specified geographic contexts, with an emphasis on understanding the unique energy policies related to renewable energy in Brazil, Austria, and Germany. Given their distinct social systems and developmental stages, this paper aims to delineate the nuanced approaches these countries adopt in their pursuit of renewable energy and the integration of hydrogen within their energy frameworks. Brazil exhibits vast renewable energy potential, particularly in wind and solar energy sectors, positioning itself for substantial growth in the coming years. Germany showcases a regulatory framework that promotes innovation and technological expansion, reflecting its highly developed social system and commitment to transitioning away from fossil fuels. Austria demonstrates dedication to decarbonization, particularly through the exploration of biomethane for residential heating and cooling. [ABSTRACT FROM AUTHOR]

In this paper, we present BilevelJuMP.jl, a new Julia package to support bilevel optimization within the JuMP framework. The package is a Julia library that enables the user to describe both upper and lower-level optimization problems using the JuMP algebraic syntax. Because of the generality and flexibility that our library inherits from JuMP's syntax, our package allows users to model bilevel optimization problems with conic constraints in the lower level and all constraints supported by JuMP in the upper level including conic, quadratic, and nonlinear constraints. Moreover, the models defined with the syntax from BilevelJuMP.jl can be solved by multiple techniques that are based on reformulations as mathematical programs with equilibrium constraints (MPEC). Manipulations on the original problem data are possible due to MathOptInterface.jl's structures and Dualization.jl features. Hence, the proposed package allows quick modeling, deployment, and thereby experimenting with bilevel models based on off-the-shelf mixed-integer linear programming and nonlinear solvers. History: Accepted by Ted Ralphs, Area Editor for Software Tools. Funding: The authors were partially supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. The work of A. Street was also partially supported by Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). The work was partially funded by the project P&D ANEEL PD-00403-0050/2020 sponsored by ENGIE BRASIL ENERGIA S.A. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information (https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0135) as well as from the IJOC GitHub software repository (https://github.com/INFORMSJoC/2022.0135). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/. [ABSTRACT FROM AUTHOR]

Biodiversity markets offer considerable promise but are accompanied by controversies. Here, we map the utilization of native species (NS) from Brazil's biodiversity across eleven industrial sectors: foodstuffs, beverages, textiles, clothing, leather, wood, pulp and paper, biofuels, pharmochemicals, rubber and furniture. We show that there exists a diverse range of NS use in industrial products (48%) and activities (73%). These economic activities represent potential annual exports of approximately USD $50 billion. However, we found that only 1% of the potential business, USD $500 million of annual exports, is consolidated and can be traced to such products. We show that biodiversity markets and larger annual revenues locate in municipalities away from places in which biodiversity products originate. Therefore, the biodiversity business in Brazil remains largely untapped. This prompts a critical examination of the role of biodiversity within the Brazilian industry and its alignment with the Brazilian Biodiversity Law and the Nagoya Protocol. Our study is a pioneering effort that provides strategic recommendations. We suggest that the responsibility for sustainable NS utilization predominantly falls on sectors dominated by major corporations, most notably pharmochemicals and biofuels. These industry sectors possess the potential to lead the transition towards responsible and sustainable biodiversity practices within Brazil. [ABSTRACT FROM AUTHOR]

Background: The 22q11.2 Deletion Syndrome (22q11.2 DS) presents unique healthcare challenges for affected individuals, families, and healthcare systems. Despite its rarity, 22q11.2 DS is the most common microdeletion syndrome in humans, emphasizing the need to understand and address the distinctive healthcare requirements of those affected. This paper examines the multifaceted issue of health service access and caregivers' quality of life in the context of 22q11.2 DS in Brazil, a condition with diverse signs and symptoms requiring multidisciplinary care. This study employs a comprehensive approach to evaluate health service accessibility and the quality of life of caregivers of individuals with 22q11.2 DS. It utilizes a structured Survey and the WHOQOL-bref questionnaire for data collection. Results: Individuals with 22q11.2 DS continue to receive incomplete clinical management after obtaining the diagnosis, even in the face of socioeconomic status that enabled an average age of diagnosis that precedes that found in sample groups that are more representative of the Brazilian population (mean of 3.2 years versus 10 years, respectively). In turn, caring for individuals with 22q11.2 DS who face difficulty accessing health services impacts the quality of life associated with the caregivers' environment of residence. Conclusions: Results obtained help bridge the research gap in understanding how caring for individuals with multisystem clinical conditions such as 22q11.2 DS and difficulties in accessing health are intertwined with aspects of quality of life in Brazil. This research paves the way for more inclusive healthcare policies and interventions to enhance the quality of life for families affected by this syndrome. [ABSTRACT FROM AUTHOR]

The energy transition towards a low-emission matrix has motivated efforts to reduce the use of fossil fuels in the transportation sector. The growth of the electric mobility market has been consistent in recent years. In Brazil, there has been an accelerated growth in the sales rate of new electric (and hybrid) vehicles (EVs). Fiscal incentives provided by governments, along with the reduction in vehicle costs, are factors contributing to the exponential growth of the EV fleet—creating a favorable environment for the dissemination of new technologies and enabling the participation of players from sectors such as battery manufacturing and charging stations. Considering the international context, the E-Lounge R&D joint initiative aims to evaluate different strategies to economically enable the electric mobility market, exploring EV charging service sales by energy distribution utility companies in Brazil. This work describes the step-by-step development of an ideal model of a charging hub and discusses its operation based on a real deployment, as well as its associated technical and economic feasibility. Using EV charging data based on the E-Lounge's operational behavior, an artificial neural network (ANN) is applied to forecast future energy consumption to each EV charging station. This paper also presents an economic analysis of the E-Lounge case study, which can contribute to proposals for electric vehicle charging ecosystems in the context of smart energy systems. Based on the operational results collected, as well as considering equipment usage projections, it is possible to make EV charging enterprises feasible, even when high investments in infrastructure and equipment (charging stations and battery storage systems) are necessary, since the net present value is positive and the payback period is 4 years. This work contributes by presenting real operational data from a charging hub, a projection model aimed at evaluating future operations, and a realistic economic evaluation model based on a case study implemented in São Paulo, Brazil. [ABSTRACT FROM AUTHOR]

Recent disasters involving upstream raised tailings dams in Brazil have caused regulatory agencies to prohibit the construction of new upstream dams and demand the decommissioning of existing ones. As such, new alternatives are being sought to safely dispose of iron ore exploitation byproducts. The dry stacking of filtered tailings is an option to diminish the risks associated with tailings storage facilities and cope with new legislation. Accordingly, this paper studies new solutions for enhancing the performance of tailings for dry stacking purposes. The behavior of reinforced and nonreinforced iron ore tailings-alkaline-activated cement (AAC) blends was studied through unconfined compressive strength tests and conventional triaxial testing. The AAC is produced from the residues of iron ore exploitation (waste and tailings). The addition of fibers has enhanced the performance of cemented iron ore tailings with increased strength regardless of the fiber content and ductility. Also, reinforcement effectiveness values were greater than those reported for other cement agents, due to the lower stiffness of the cemented matrix from AAC compared with others. A comparative analysis between using only AAC and ACC plus 0.5% of fibers within the η/Biv framework was proposed. The dosage curves for the same qu value yielded an AAC=20.80% for AAC only and AAC=3.80% when using 0.5% of fibers. Therefore, using fibers can collaborate with the feasibility of using a new waste-based AAC to construct dry stacking facilities. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of the Brazilian Central Bank (BCB) credibility on the outcomes of its monetary policy. In this sense, we seek to characterize periods in which the central bank can be categorized as strong (high credibility) or weak (low credibility) through a VAR methodology with an endogenously estimated threshold parameter. The econometric model includes the credibility variable, which defines the regimes, along with the output gap, inflation, 12 months ahead inflation expectations, the policy interest rate, and a long-term interest rate. Our dataset spans from 2003 to 2022, with monthly data. The estimations suggest a significant threshold parameter at 1%, with a value of 1.75 percentage points. Thus, we highlight that the BCB operates in a low credibility regime when inflation expectations exceed the tolerance bands around the inflation target. In fact, this occurred in 19% of the considered sample, equivalent to 46 months. Despite the relatively low frequency of periods in which the Brazilian Central Bank operated in a low credibility context, such a regime should be diligently avoided, as our evidence demonstrates that this regime is associated with a substantial reduction in the effectiveness of monetary policy in the country. We show, for example, that with low credibility, the BCB practically loses the ability to affect productive activity and the dynamics of prices (inflation and inflation expectations). When examining the possible causes of the reduction in the effectiveness of monetary policy conditional on the credibility regimes, we show that this variable can affect the existing trade-off between output and inflation in the economy. In other words, our results suggest that credibility regimes can influence the observed inclinations in the country's Phillips curve. Specifically, we point out that in a low credibility regime, inflation shocks generate recessionary effects on output, and inflation becomes more responsive to increases in inflation expectations, thereby reducing the degree of price rigidity. In conclusion, monetary policy in Brazil has effects that systematically depend on the credibility regime in operation. Therefore, maintaining a high credibility regime should remain a priority for the BCB, as it facilitates the achievement of favorable outcomes, including meeting inflation targets. [ABSTRACT FROM AUTHOR]

The transition to a low-carbon economy is one of the main challenges of our time. In this context, solar energy, along with many other technologies, has been developed to optimize performance. For example, solar trackers follow the sun's path to increase the generation capacity of photovoltaic plants. However, several factors need consideration to further optimize this process. Important variables include the distance between panels, surface reflectivity, bifacial panels, and climate variations throughout the day. Thus, this paper proposes an artificial intelligence-based algorithm for solar trackers that takes all these factors into account—mainly weather variations and the distance between solar panels. The methodology can be replicated anywhere in the world, and its effectiveness has been validated in a real solar plant with bifacial panels located in northeastern Brazil. The algorithm achieved gains of up to 7.83% on a cloudy day and obtained an average energy gain of approximately 1.2% when compared to a commercial solar tracker algorithm. [ABSTRACT FROM AUTHOR]

Objective: To establish the association of the mother's breastfeeding self-efficacy with infant feeding in the first six months of the child's life and identify the mothers' perception of their confidence to breastfeed. Background: Breastfeeding is a multi-determined process. Many factors contribute to a mother's ability to exclusively breastfeed until a child reaches six months of age. Among these factors is a mother's confidence in her abilities to breastfeed her baby, referred to as breastfeeding self-efficacy. Thus, self-efficacy for breastfeeding could be an essential predictor of reducing the risk of early weaning. Study design and methods: This is a mixed-method sequential explanatory study. The short form of the Breastfeeding Self-Efficacy Scale was used to determine the level of the mothers' confidence. 158 mothers were surveyed during their postpartum hospital stay, and 128 were included in a follow-up six months after delivery. Additionally, 22 participants were randomly selected for an in-depth interview (qualitative stage). Data were analysed using inferential statistics and thematic content analysis. Results: High levels of breastfeeding efficacy were identified during the hospitalisation and after discharge among all participants. Exclusive breastfeeding was practised among 45.31% of mothers six months after delivery. Return to work was a key factor contributing to early weaning. Family and health professional support during the breastfeeding process were associated as crucial for the duration of exclusive breastfeeding. Discussion: Exclusive breastfeeding for the first six months after delivery involves various factors, such as the mother's confidence in her breastfeeding skills and the specific circumstances she faces while breastfeeding. Thus, through the mixed qualitative and quantitative approaches, it was possible to identify the convergence of self-efficacy scores and the breastfeeding mothers' perception of their confidence and intention to maintain exclusive breastfeeding. Conclusion: High self-efficacy to breastfeed alone was not enough to maintain exclusive breastfeeding. It is necessary to combine self-efficacy and family or health service support and guidance to clarify the mother's doubts about potential difficulties that may appear throughout the breastfeeding process, the maintenance of lactation when she plans to return to work, and the breastfeeding technique. Implication for practice: Applying the Breastfeeding Self-Efficacy Scale associated with the breastfeeding mothers' interview during the prenatal and perinatal period facilitates early identification of mothers at risk for early weaning and helps nurses in planning interventions to support the breastfeeding mother and her child in favour of exclusive breastfeeding duration. What is already known about the topic? * Exclusive breastfeeding (EBF) is recommended for the first six months of a child's life; however, many mothers do not follow this recommendation due to multiple barriers such as mental health issues (i.e., postpartum depression or anxiety), educational gaps, physical discomfort like sore nipples, engorgement, return to work, and lack of support. * Breastfeeding self-efficacy has been associated with the duration of breastfeeding. What this paper adds * Breastfeeding mothers' self-efficacy is essential for stimulating maintenance. * Questions 3 (I always feed my baby without using powdered milk as a supplement) and 11 (I always breastfeed my baby on one breast and then switch to the other) of the Breastfeeding Self-Efficacy Scale (short form) predicted early weaning risk. * Planning nursing care intervention for breastfeeding mothers in their follow-up after birth should include assessing their breastfeeding self-efficacy and factors that could contribute to early weaning, such as returning to work and the lack of a support network. [ABSTRACT FROM AUTHOR]

Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers' decision making. Recent forecasting methods, particularly those utilizing machine learning algorithms like Random Forest and Artificial Neural Networks, show promise. However, challenges such as validation performances, large volume of data, and the inherent complexity and inexplicability of these models hinder their widespread adoption. This paper presents a simpler approach, employing linear regression models fitted from vegetation indices (VIs) extracted from MODIS sensor data on the Terra and Aqua satellites. The aim is to forecast cotton yields in key areas of the Brazilian Cerrado. Using data from 281 commercial production plots, models were trained (167 plots) and tested (114 plots), relating seed cotton yield to nine commonly used VIs averaged over 15-day intervals. Among the evaluated VIs, Enhanced Vegetation Index (EVI) and Triangular Vegetation Index (TVI) exhibited the lowest root mean square errors (RMSE) and the highest determination coefficients (R2). Optimal periods for in-season yield prediction fell between 90 and 105 to 135 and 150 days after sowing (DAS), corresponding to key phenological phases such as boll development, open boll, and fiber maturation, with the lowest RMSE of about 750 kg ha−1 and R2 of 0.70. The best forecasts for early crop stages were provided by models at the peaks (maximum value of the VI time series) for EVI and TVI, which occurred around 80–90 DAS. The proposed approach makes the yield predictability more inferable along the crop time series just by providing sowing dates, contour maps, and their respective VIs. [ABSTRACT FROM AUTHOR]

This paper presents the observational, remote sensing, and model simulation used to analyze southern Brazil Antarctic ozone hole influence (SBAOHI) events that occurred between 2005 and 2014. To analyze it, we use total ozone column (TOC) data provided by a Brewer spectrophotometer (BS) and the OMI (Ozone Monitoring Instrument). In addition to the AURA/MLS (Microwave Limb Sounder) instrument, satellite ozone profiles were utilized with DYBAL (Dynamical Barrier Localization) code in the MIMOSA (Modélisation Isentrope du Transport Mésoéchelle de l'Ozone Stratosphérique par Advection) model Potential Vorticity (PV) fields. TOC has 7.0 ± 2.9 DU reductions average in 62 events. October has more events (30.7%). Polar tongue events are 19.3% in total, being more frequently observed in October (50% of cases), with medium intensity (58.2%), and in the stratosphere medium levels (55.0%). Already, polar filament events (80.7%) are more frequent in September (32.0%), with medium intensity (42.0%), and stratosphere medium levels (40.7%). [ABSTRACT FROM AUTHOR]

This paper offers a brief yet comprehensive comparative analysis of historical and contemporary racial authoritarian violence in the United States and Brazil. Utilizing Black feminist historian and literary scholar Saidiya Hartman's theorization of the "afterlife of slavery" and Michael Dawson's linked fate, I examine how the processes of racialization and the racial logics of subordination have and continue to shape the contours of Black life in the United States and in Brazil. Moreover, in this work, I interrogate the afterlife of George Floyd and the afterlives of Black Brazilian victims and survivors of racial authoritarian violence; the political, transnational, and symbolic impacts of Floyd's death; and Diasporic understandings of linked fate on racial authoritarian violence between Black communities in the United States and in Brazil. [ABSTRACT FROM AUTHOR]

Historical data in climatology is important for recognizing patterns and discovering trends. However, data gaps often occur in some weather station time series. This paper presents a framework consisting of machine learning techniques combined with triangulation methods to identify missing meteorological data. Our approach is based on using data from neighboring weather stations as input for triangulation methods in combination with machine learning techniques. The current focus of the proposed framework is on filling missing temperature data and it was applied in ten different regions of Brazil, each with a different climatic configuration. Furthermore, a statistical study was conducted to estimate the best configuration which showed that a popular mathematical triangulation model combined with neural networks produced the most satisfactory results in predicting missing data, outperforming the results of traditional triangulation methods. [ABSTRACT FROM AUTHOR]

Reading nutrition facts labels is a competency for which training is given in several nutrition education programs, especially in obesity outreach workshops. The Top Trumps-style card game is commonly used in obesity prevention educational programs to engage participants in reading nutrition facts labels; however, the success of TV cooking shows among children and teenagers has not been explored for educational purposes. This paper is a descriptive study of developing a gamified activity as part of the one-time outreach workshop facilitated by the Obesity and Comorbidities Research Center (OCRC) in Brazil. By playing the MestreChef Nutritional (MCN) game, participants followed similar rules as the corresponding TV cooking show. They were challenged to decide to select food items, calculate dietary food intake, and prepare a recipe to visualize the proportion of macronutrients contained in daily diets. The analysis of the nutritional dietary table completed by participants revealed to be a rich source of information, and we identified in our cohort that selecting an adequate number of food items and making healthy food choices was not concerning. However, their lack of competency in performing mathematical reasoning, particularly in calculating serving sizes and converting grams of macronutrients into calories, was evident. Moreover, facilitators of the workshops agreed that the MCN game presents definitively more didactic effectiveness and playability than the Foods Top Trumps, a former game used in the outreach workshops. The MCN game nourishes the engagement of the participants in learning nutrition-related concepts and may be an efficient didactic resource to improve nutrition knowledge in outreach activities when an alternative method is required to stimulate reading nutrition facts labels. NEW & NOTEWORTHY: Reading nutrition facts labels is a typical activity promoted in obesity prevention educational programs. By playing the MestreChef Nutritional, participants can immerse in the context of a food TV show game to have the first contact with reading nutrition facts labels for a learning purpose. However, the game can reveal the participant's limitations in mathematical reasoning despite the didactic potential of the game in promoting obesity-related physiology concepts. [ABSTRACT FROM AUTHOR]

Power system simulation is vital for designing and evaluating the performance of electrical system protection and control devices. Although several commercial simulators exist, most are expensive and not open-source code. It is essential to develop educational and research simulators that can prepare students, allow researchers to develop new methodologies, and assist system operators in making decisions. This paper aims to present a computer simulation platform called AnaDyn (dynamic analysis), a non-commercial and open-source platform. AnaDyn is an educational/research platform that allows dynamic (transient stability), quasi-steady-state simulation, modal, and power flow analysis. Short- and long-term studies of voltage, frequency, and rotor angle instability problems can be performed. The main characteristics of AnaDyn are quasi-steady-state simulation, in which the equations are not simplified; easy integration with other tools and toolboxes, since AnaDyn is developing in MATLAB; flexible modeling that allows the inclusion of new devices and controller tests. The detailed modeling of various power system devices, the description of the numerical solution method, and the interface are also presented in this work. The platform is validated by comparing a test system's results with those obtained with Brazil's most popular commercial software. The main potentials of quasi-steady-state simulation are also presented. The results indicate that AnaDyn is efficient for educational and research studies on the stability of short- and long-term electrical systems. [ABSTRACT FROM AUTHOR]

This paper extends the concept of metrics based on the Bayesian information criterion (BIC), to achieve strongly consistent estimation of partition Markov models (PMMs). We introduce a set of metrics drawn from the family of model selection criteria known as efficient determination criteria (EDC). This generalization extends the range of options available in BIC for penalizing the number of model parameters. We formally specify the relationship that determines how EDC works when selecting a model based on a threshold associated with the metric. Furthermore, we improve the penalty options within EDC, identifying the penalty ln (ln (n)) as a viable choice that maintains the strongly consistent estimation of a PMM. To demonstrate the utility of these new metrics, we apply them to the modeling of three DNA sequences of dengue virus type 3, endemic in Brazil in 2023. [ABSTRACT FROM AUTHOR]

Background: Decentralization of a health system is a complex and multidimensional phenomenon that demands thorough investigation of its process logistics, predisposing factors and implementation mechanisms, within the broader socio-political environment of each nation. Despite its wide adoption across both high-income countries (HICs) and low-and-middle-income countries (LMICs), empirical evidence of whether decentralization actually translates into improved health system performance remains inconclusive and controversial. This paper aims to provide a comprehensive description of the decentralization processes in three countries at different stages of their decentralization strategies – Pakistan, Brazil and Portugal. Main body: This study employed a systematic analysis of peer-reviewed academic journals, official government reports, policy documents and publications from international organizations related to health system decentralization. A comprehensive search was conducted using reputable databases such as PubMed, Google Scholar, the WHO repository and other relevant databases, covering the period up to the knowledge cutoff date in June 2023. Information was systematically extracted and organized into the determinants, process mechanics and challenges encountered during the planning, implementation and post-decentralization phases. Although decentralization reforms have achieved some success, challenges persist in their implementation. Comparing all three countries, it was evident that all three have prioritized health in their decentralization reforms and aimed to enhance local decision-making power. Brazil has made significant progress in implementing decentralization reforms, while Portugal and Pakistan are still in the process. Pakistan has faced significant implementation challenges, including capacity-building, resource allocation, resistance to change and inequity in access to care. Brazil and Portugal have also faced challenges, but to a lesser extent. The extent, progress and challenges in the decentralization processes vary among the three countries, each requiring ongoing evaluation and improvement to achieve the desired outcomes. Conclusion: Notable differences exist in the extent of decentralization, the challenges faced during implementation and inequality in access to care between the three countries. It is important for Portugal, Brazil and Pakistan to address these through reinforcing implementation strategies, tackling inequalities in access to care and enhancing monitoring and evaluation mechanism. Additionally, fostering knowledge sharing among these different countries will be instrumental in facilitating mutual learning. [ABSTRACT FROM AUTHOR]

Discrete Element Method (DEM) has been successfully utilized to model rock behavior based on particle flow code (PFC), which is extensively employed in solving various problems related to rock engineering and geomechanics. Therefore, a convenient method for selecting appropriate microparameters of PFC for model generation is necessary. The present study aims to develop a novel approach that calculates proper micro-strength parameters for the contact bond model (CBM). Firstly, based on Plackett–Burman (PB) design, qualitative research is conducted and it is found that the main factors that influence the Brazilian tensile strength is microscopic tensile strength. We analyzed the stress conditions of a Brazilian disc's vertical diameter using both continuum models and DEM. From this analysis, we establish a theoretical relationship between rock tensile strength and micro-strength parameters. Subsequently, a large number of numerical Brazilian tests were conducted to obtain the statistical relationship between the geometric parameters of balls, micro-strength parameters and the Brazilian tension strength. The results of the numerical simulation were then used to refine the theoretical equation mentioned above, resulting in a modified equation for rock tensile strength and micro-strength parameters. Finally, after verification, we confirm the feasibility of the method in this paper. [ABSTRACT FROM AUTHOR]

Increasingly stringent pollutant emission regulations and a customer demand for a high-fuel economy drive the modern automotive industry to hurriedly solve the problem of decarbonization and powertrain efficiency, leading R&D towards alternative powertrain solutions and fuels. Electrification, today, plays the biggest role in the topic, with Mild Hybrid Electrified Vehicles (MHEVs) being the most cost-effective architectures, displaying dominance in smaller markets such as Brazil. One of the biggest challenges for HEVs' development is the complexity of the hybrid control system, knowing when to actuate the electric machine, and the optimum power delivery, plus the gearshift schedule becomes a hard optimization problem that plays a key role in powertrain efficiency and cost savings for the customer. This paper proposes the implementation of a genetic algorithm (GA) as a machine learning-based control strategy to determine the torque split and the gear engaged for each driving condition of an MHEV operation, aiming to optimize fuel consumption. A quasi-static model of the vehicle was developed in Matlab/Simulink version 2022b, the virtual vehicle was then tested following the FTP75 and HWFET driving cycles. Simulation results indicate that the control decisions taken by the GA are qualitatively coherent for all operation conditions, and even quantitatively coherent in some cases, and that the software has the potential to be used as a control strategy outside the simulation environment, in future steps of development. [ABSTRACT FROM AUTHOR]

Developing air quality management systems to control the impacts of air pollution requires reliable data. However, current initiatives do not provide datasets with large spatial and temporal resolutions for developing air pollution policies in Brazil. Here, we introduce the Brazilian Atmospheric Inventories (BRAIN), the first comprehensive database of air quality and its drivers in Brazil. BRAIN encompasses hourly datasets of meteorology, emissions, and air quality. The emissions dataset includes vehicular emissions derived from the Brazilian Vehicular Emissions Inventory Software (BRAVES), industrial emissions produced with local data from the Brazilian environmental agencies, biomass burning emissions from FINN – Fire INventory from the National Center for Atmospheric Research (NCAR), and biogenic emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN) (10.57760/sciencedb.09858, Hoinaski et al., 2023a; 10.57760/sciencedb.09886, Hoinaski et al., 2023b). The meteorology dataset has been derived from the Weather Research and Forecasting Model (WRF) (10.57760/sciencedb.09857, Hoinaski and Will, 2023a; 10.57760/sciencedb.09885, Hoinaski and Will, 2023c). The air quality dataset contains the surface concentration of 216 air pollutants produced from coupling meteorological and emissions datasets with the Community Multiscale Air Quality Modeling System (CMAQ) (10.57760/sciencedb.09859, Hoinaski and Will, 2023b; 10.57760/sciencedb.09884, Hoinaski and Will, 2023d). We provide gridded data in two domains, one covering the Brazilian territory with 20×20 km spatial resolution and another covering southern Brazil with 4×4 km spatial resolution. This paper describes how the datasets were produced, their limitations, and their spatiotemporal features. To evaluate the quality of the database, we compare the air quality dataset with 244 air quality monitoring stations, providing the model's performance for each pollutant measured by the monitoring stations. We present a sample of the spatial variability of emissions, meteorology, and air quality in Brazil from 2019, revealing the hotspots of emissions and air pollution issues. By making BRAIN publicly available, we aim to provide the required data for developing air quality policies on municipal and state scales, especially for under-developed and data-scarce municipalities. We also envision that BRAIN has the potential to create new insights into and opportunities for air pollution research in Brazil.​​​​​​​ [ABSTRACT FROM AUTHOR]

Organic carbon performs essential functions in soils, which act as sources or sinks of atmospheric organic carbon. Agricultural management affects the carbon cycle in the soil, with effects on climate change. One of the crops most vulnerable to climate change is coffee. Brazil is the world’s largest coffee producer, with a predominance of management under a conventional system, with sloping terrain and the absence of conservationist practices. The absence of conservationist practices increases in soil loss rates due to water management and carbon emissions, as well as a reduction in coffee production. This paper intended to estimate soil and organic carbon losses by RUSLE in coffee farms in southern Minas Gerais, south-eastern Brazil. Data were obtained from fieldwork, laboratory analysis, and cartographic products. The results indicated, exclusively for coffee crops, soil and carbon losses between 7 and 32 Mg ha−1 year−1 and 87 and 460kg ha−1 year−1, respectively. However, the highest soil losses occurred on sloping terrains with eucalyptus plantations located downhill, and the lowest losses occurred on flat land with native forests. Organic carbon losses were linked directly to soil losses, as a result from the land practices, slope and agricultural management adopted. These results can be used for the planning and priority definition of areas needing conservationist practices, such as green manuring, planting in contour and maintaining of vegetation between coffee rows, which are already used in some sites of the study area. [ABSTRACT FROM AUTHOR]

We evaluated the performance of the Thornthwaite (ThW) method using two gridded climate datasets to estimate monthly average daily potential evapotranspiration (PET). The PET estimated from two gridded series were compared to PET and to reference evapotranspiration (ETo) determined, respectively, through the ThW and Penman-Monteith model parameterized on Food and Agriculture Organization–Irrigation and Drainage paper No 56 (PM-FAO56) using data from weather stations. The PET by ThM was based on monthly air temperature series (1961–2010) from two gridded datasets (Global Historical Climatology Network-GHCN and University of Delaware-UDel) and 21 weather stations of the National Institute of Meteorology (INMET) located in Southeastern Brazil. The ETo PM-FAO56 used monthly climate series (1961–2010) on sunshine duration, air temperature, relative humidity, and wind speed from weather stations of the INMET. The PET estimated using UDel gridded series was better overall performance than the GHCN series. Differences in altitude, latitude, and longitude were the main geographic factors determining the performance of the PET estimates using gridded climate series. Depending on the factors, some locations require bias correction, especially locations more than 10 km away from the grid point. The gridded datasets are an alternative for locations without climatic series data or with low-quality non-continuous data series. [ABSTRACT FROM AUTHOR]

The present study evaluated, through physical and physiological tests, the seed quality of a landrace fava bean variety in different packaging materials and storage periods, aiming to guarantee the conservation of their quality in seed banks and facilities. The methodology used was the one recommended by the Rules for Seed Analysis (RAS - Brasil, 2009) and minimum descriptors for Phaseolus lunatus L. The data were subjected to analysis of variance by the F-test at 5% signififance to verify the presence of significant interactions and the individual effects of each treatment. The test of multiple comparison of means was performed by the Tukey test at 5% significance between common treatments. The Dunnett test was used at 5% significance to compare the control means with the means of the treatments. R egression analysis was performed to study the effect of storage on the variables evaluated. All analyses were performed using the R software. From the results, it can be concluded that the storage of fava bean seeds is viable in small rural properties in impermeable packaging materials and aluminized polyethylene bags. The germination and vigor of the seeds analyzed in this study decreased throughout the storage period regardless of the type of packaging used. It is not recommended to store fava bean seeds in permeable paper packaging as they have the lowest quality indices (germination and vigor) at the end of the storage period. [ABSTRACT FROM AUTHOR]

The paper in question is focused on (1) valuing the expanded and transdisciplinary approach for the definition of cultural heritage, consolidated in Brazil from the 1970s/1980s onwards, (2) and its subsequent applicability in the field of education, under the influence of a liberating pedagogy proposed by educator Paulo Freire. An important consequence of this process involves the conception of a formal education system structured to promote collectivity, equality, diversity, and educational equity, as a solution towards ensuring both the learning and development of students. (3) The paper discusses the contribution of the expanded context of cultural heritage and its relationship with the field of education in the development of pedagogical strategies that promote educational equity, through the Base Nacional Comum Curricular (BNCC), a document that parameterizes the curricula from early childhood education to high school in Brazil. From a bibliographic review, the paper presents the conjuncture on which the new look at cultural heritage has been consolidated, and the consequent redefinition of heritage education actions, and then, as a result, analyzes the approximation between this new approach and the formal educational strategies present in the BNCC, as well as the possibilities of intercommunication between both. [ABSTRACT FROM AUTHOR]

This paper intends to analyze in detail the legislative procedures relating to laws that regulate money laundering in Brazil and their future tendencies, exploring the research field called criminal legislative policy. The main objective of this paper is to help build this research area in Brazil, as well as to map out some characteristics of the Brazilian legislative process concerning the criminalization of conduct related to the economy (political parties involved, foreign influences, etc.). The first part of the paper is theoretical and explores the concept of legislative policy and the international regulation of money laundering, mainly in Latin America, that could have influenced Brazilian legislation. The last part of the paper is composed of graphs that explore details about the legislative procedure of the two main Brazilian pieces of legislation on money laundering. This part also contains a table with the main active bills that seek to change the current legislation on the matter, as well as a critical analysis. The initial conclusions point to an increase in punishment in the years analyzed, with future trends heading in the same direction. The methodology used is bibliographic, legislative, and documental research. [ABSTRACT FROM AUTHOR]

Objectives: nearly 50% of people in developing countries suffer from extreme poverty. Consequently, a debate has emerged about the potential of ICT to improve socio-economic conditions prevailing in impoverished nations. This discussion has given rise to a burgeoning field of research known as ICT for development (ICT4D). However, most academics in the ICT4D arena do not come from developing countries, nor do they reside in these regions -- the main beneficiaries of ICT4D initiatives. This is the case of Brazil, a country characterized by significant socioeconomic disparities, where this field of study has aroused little interest among the scientific community and thus continues to be largely under-researched. Thus, the objective of this paper is to make sense of that phenomenon. Provocations: as most of the ICT4D knowledge base has been generated either by academics who are not originally from developing countries or by academics native to developing countries who currently reside in developed countries, a provocation can be made, namely, considering that ICT4D initiatives can improve the quality of life of people, why haven't Brazilian scholars prioritized research in this area? Conclusion: as a provocative paper, our main objective is to debate on the aforementioned issue. For this, we should listen to the Brazilian Academy of Management -- mainly the academics of the ANPAD's Information Management division -- to address and solve this puzzle, so that ICT4D research in Brazil can be encouraged with a view to causing a real impact on our society. [ABSTRACT FROM AUTHOR]

Based on the assumption that agency is a discursive practice and one basic premise of an education aimed at developing critical, participative and transformative agents to live in a society under constant changes associated with globalization and neoliberalism, the main objective of this paper, which results from my PhD research (Landim, 2020), was to investigate if agency development implies a critically oriented English Language Teaching (ELT) in global times. To address such objective, the research was conducted with a group of teachers and student teachers participating in the English Language Teaching (ELT) practicum of a public university located in the north of Brazil. The study followed qualitative research methodological paths of ethnographic nature, within the field of critical applied linguistics, using concepts borrowed from decolonial theories, new literacies studies and crEitical literacies and other fields, especially sociology and philosophy of education. The main results indicate that agency concepts developed by the participants ranged from neoliberal traditions in education to decolonial/critical perspectives. [ABSTRACT FROM AUTHOR]

The Zika virus (ZIKV) is a serious global public health crisis. A major control challenge is its multiple transmission modes. This paper aims to simulate the transmission patterns of ZIKV using a dynamic process-based epidemiological model written in ordinary differential equations, which incorporates the human-to-mosquito infection by bites and sewage, mosquito-to-human infection by bites, and human-to-human infection by sex. Mathematical analyses are carried out to calculate the basic reproduction number and backward bifurcation, and prove the existence and stability of the equilibria. The model is validated with infection data by applying it to the 2015–2016 ZIKV epidemic in Brazil. The results indicate that the reproduction number is estimated to be 2.13, in which the contributions by mosquito bite, sex and sewage account for 85.7%, 3.5% and 10.8%, respectively. This number and the morbidity rate are most sensitive to parameters related to mosquito ecology, rather than asymptomatic or human-to-human transmission. Multiple transmission routes and suitable temperature exacerbate ZIKV infection in Brazil, and the vast majority of human infection cases were prevented by the intervention implemented. These findings may provide new insights to improve the risk assessment of ZIKV infection. [ABSTRACT FROM AUTHOR]

Open water transposition channels in hot and arid regions, like those in the São Francisco River Integration Project (PISF) in Brazil, suffer significant water losses through evaporation. This paper proposes covering these channels with photovoltaic (PV) panels to reduce evaporation while simultaneously generating clean energy. The research aims to quantify water savings and energy generation potential across all channel lengths and assess whether the generated solar power can substitute grid electricity for powering the transposition pumps during peak hours, thereby enhancing energy efficiency. This study analyzed the state-of-the-art of PV generation and calculated their solar potential. Identified the specific characteristics of PISF channels and watercourses considering the regional geography, meteorology, irradiation, and social peculiarities. And, finally, assessed the feasibility of covering the watercourses with solar panels. The results reveal that covering all current PISF channels with PV panels could save up to 25,000 cubic meters of water per day, significantly contributing to water security and improving the quality of life for the local population. Additionally, the project could generate 1200 gigawatt-hours of electricity annually, meeting the energy demands of the transposition pumps during peak hours and promoting energy efficiency within the project. This research paves the way for utilizing PV technology to address water scarcity challenges and enhance the sustainability of water infrastructure projects in arid regions worldwide. [ABSTRACT FROM AUTHOR]

This paper addresses the optimization of contracted electricity demand (CD) for commercial and industrial entities, focusing on cost reduction within the Brazilian time-of-use electricity tariff scheme. Leveraging genetic algorithms (GAs), this study proposes a practical approach to determining the optimal CD profile, considering the complex dynamics of energy demand on a city-like load. The methodology is applied to a case study at the Federal University of Pará, Brazil, where energy efficiency and demand response initiatives as well as renewable energy projects are underway. The findings highlight the significance of tailored demand management strategies in achieving energy-related cost reduction for large-scale consumers, with implications for economic efficiency in energy consumption. [ABSTRACT FROM AUTHOR]

Purpose: This paper presents the results of an online survey and subsequent interviews investigating whether, how, and why public administrations of Brazilian states and the federal district (Federation Units) use open government data. According to the literature reviewed, the questions were categorized into four big groups: benefits, barriers, enablers, and drivers. Design/Methodology/Approach: The Survey method, based on a questionnaire followed by interviews, was used to collect and analyze data from the open data officers of 26 Brazilian Federation Units. Findings: The use of open government data is controversial as responses from the questionnaires and interviews do not match and raise questions about how well-represented each Federation Unit was. Evidence of open government data use was found. Among others, findings showed that political leadership committed to using open data facilitates and motivates public agents to use these data. Additionally, interviews indicated that the lack of human resources with the knowledge, skills, and capabilities to use open data is a relevant barrier to data use. Findings also revealed that open government data mainly support policy and decision-making processes. Practical implications: This research contributed to the open data and public administration fields. It portrays diverse realities of open government data use and institutionalization in Brazilian state and district public administrations. In addition, it provides lists of open government data use benefits, barriers, drivers, and enablers from the perspective of these administrations so that they can benchmark against each other and improve their OGD use. Originality and research implications: For academia, this research provides empirical evidence of the factors influencing public administrations' use of open government data at the subnational level in Brazil. Even though Brazil ranks high on OGD global assessments, few studies on its use and reuse in the public sector were identified. This is one of the first academic studies focusing on open government data use in the country. It also contributes by offering to the academic community two instruments, a questionnaire and an interview protocol, which can be applied to other public settings to expand this study's results or open new research paths by applying them to other contexts. [ABSTRACT FROM AUTHOR]

We introduce DiffOpt.jl, a Julia library to differentiate through the solution of optimization problems with respect to arbitrary parameters present in the objective and/or constraints. The library builds upon MathOptInterface, thus leveraging the rich ecosystem of solvers and composing well with modeling languages like JuMP. DiffOpt offers both forward and reverse differentiation modes, enabling multiple use cases from hyperparameter optimization to backpropagation and sensitivity analysis, bridging constrained optimization with end-to-end differentiable programming. DiffOpt is built on two known rules for differentiating quadratic programming and conic programming standard forms. However, thanks to its ability to differentiate through model transformations, the user is not limited to these forms and can differentiate with respect to the parameters of any model that can be reformulated into these standard forms. This notably includes programs mixing affine conic constraints and convex quadratic constraints or objective function. History: Accepted by Ted Ralphs, Area Editor for Software Tools. Funding: The work of A. Sharma on DiffOpt.jl was funded by the Google Summer of Code program through NumFocus. M. Besançon was partially supported through the Research Campus Modal funded by the German Federal Ministry of Education and Research [Grant 05M14ZAM, 05M20ZBM]. J. Dias Garcia was supported in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. B. Legat was supported by a BAEF Postdoctoral Fellowship, the NSF [Grant OAC-1835443], and the ERC Adv. [Grant 885682]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information (https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0283), as well as from the IJOC GitHub software repository (https://github.com/INFORMSJoC/2022.0283). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/. [ABSTRACT FROM AUTHOR]

This paper discusses the relationship between morality and engagement focused on the narratives about climate change. The goal of our research is to understand whether moral grounds identified in individuals and in narratives can influence youth's engagement in environmental debate and news consumption on climate change. Recognizing that people's perceptions of climate change are related to several factors, such as ideas, cultures, and values, we sought to understand whether there is a "green morality" or a prevalence of more responsive moral attributes in individuals when they are exposed to thinking about the environment. We use the Moral Foundations Theory to analyze comments on the environmental news on Twitter and a questionnaire adapted to the environment on moral grounds. The data were collected from Brazil and Portugal between 2021 and 2022. The overall results showed a high incidence of responses with Care/Harm and Fairness/Cheating, and an average incidence of responses related to Loyalty/Betrayal and Authority/Subversion. The results indicate that youngsters show a more prominent moral to care and environmental harm, as well as justice and responsibility, which may influence their interest in the consumption of environmental news and future engagement. In addition, there are factors, such as political issues, that can influence moral values and engagement. [ABSTRACT FROM AUTHOR]

Indigenous peoples and local communities are key actors in the preservation of important biodiversity resources around the world. However, the ever-encroaching agricultural frontier and expansion of conventional agricultural practices threaten these communities, their autonomy over the land, and the traditional knowledge and practices associated with biodiverse ecosystems. Agroecology emerges as an important solution to support the continuation of agrobiodiversity, food security, and environmental conservation, but top-down solutions often do not resonate with the lived realities of traditional, Indigenous, and small-scale farming communities. This paper examines a collaborative research and narrative network developed over the past several years around traditional erva-mate agroforestry production in Southern Paraná, Brazil. It offers an example of how oral environmental history and public history can support conservation practices through agroecology. The key outcomes of this interdisciplinary, multi-dimensional research and engagement were the development of a candidacy for the system to be recognized as a Globally Important Agricultural Heritage System (GIAHS) from the Food and Agricultural Organization of the United Nations (FAO) and the implementation of a Dynamic Conservation Action Plan to address the threats and challenges farmers and communities are facing. The discussion explores two concepts that were integral to these processes, the creation of narrative networks and a focus on plurivocity. Both approaches ensured that the actions, knowledge, and narratives developed through the GIAHS candidacy were not imposed but agreed upon and generative through narrative and dialogue, remaining true to the realities and lived experiences of community members. [ABSTRACT FROM AUTHOR]

Background: The exploitative marketing of commercial milk formula (CMF) reduces breastfeeding, and harms child and maternal health globally. Yet forty years after the International Code of Marketing of Breast-Milk Substitutes (The Code) was adopted by WHO member states, many countries are still to fully implement its provisions into national law. Furthermore, despite The Code, worldwide CMF markets have markedly expanded. In this paper, we adopt Brazil as a case study to understand the power of the baby food industry's marketing and corporate political activity, and how this influences the country's 'first-food system' in ways that promote and sustain CMF consumption. Methods: We used a case study design, drawing data from from documents and key informant interviews (N = 10). Results: Breastfeeding rates plummeted in Brazil to a historic low in the 1970s. A resurgence in breastfeeding from the mid-1980s onwards reflected strengthening political commitment for a national policy framework and breastfeeding protection law, resulting in-turn, from collective actions by breastfeeding coalitions, advocates, and mothers. Yet more recently, improvements in breastfeeding have plateaued in Brazil, while the industry grew CMF sales in Brazil by 750% between 2006 and 20. As regulations tightened, the industry has more aggressively promoted CMF for older infants and young children, as well as specialised formulas. The baby food industry is empowered through association with powerful industry groups, and employs lobbyists with good access to policymakers. The industry has captured the pediatric profession in Brazil through its long-standing association with the Brazilian Society of Pediatrics. Conclusion: Brazil illustrates how the baby food industry uses marketing and political activity to promote and sustain CMF markets, to the detriment of breastfeeding. Our results demonstrate that this industry requires much greater scrutiny by regulators. [ABSTRACT FROM AUTHOR]

In the last 60 years, the largest displacement of the magnetic equator (by about 1100 km northwards) occurred in the Brazilian longitudinal sector. The magnetic equator passed by Tatuoca magnetic observatory (TTB) in northern Brazil in 2012 and continues to move northward. Due to the horizontal geomagnetic field geometry at the magnetic equator, enhanced electric currents in the ionosphere are produced - the so called equatorial electrojet (EEJ). The magnetic effect of the EEJ is observed in the range of ± 3 degrees from the magnetic equator, where magnetic observatories record an amplified daily variation of the H component. In order to track the spatial and temporal variation of this phenomena, a new magnetometer station was installed in Macapá (MAA), which is about 350 km northwest from TTB. In this paper, we present the setup and data analysis of MAA station from 11/2019 until 09/2021. Because of its special configuration, we develop a method for temperature correction of the vector magnetometer data. [ABSTRACT FROM AUTHOR]

The relationship between culture and the individual is a central focus of social scientific research. This paper examines motivations that mediate between shared culture norms and individual actions. Inspired by the works of Leon Festinger and Melford Spiro, we posit that social network conformation (the perceived adherence of one's social network with norms) and internalization of cultural norms (incorporation of cultural models with the self-schema) will differentially shape behavior (cultural consonance) depending on the domain and individual characteristics. For the domain of gender roles among Brazilian men, religious affiliation results in different configurations of the individual and culture. Our findings suggest that, due to changing and competing cultural models, religious men are compelled to reflexively "think" about what masculinity means to them, rather than subconsciously conform to social (hegemonic) expectations. This study demonstrates the importance of considering the impetus of culturally informed behaviors and, in doing so, provides a methodological means for measuring and interpreting such motivations, an important factor in the relationship between culture and the individual. [ABSTRACT FROM AUTHOR]

Since the 1970s, Brazil has carried out the most successful world program of commercial biomass for use and production of energy by stimulating its sugarcane industry and promoting the large-scale production of ethanol nationwide in response to the first oil shock. Today, the technologies behind ethanol production are well established. Brazil is the world's largest sugarcane supplier, producing its ethanol at a competitive price. If other sugarcane producing countries decided to join Brazil's move toward the production of this biofuel, what impacts might there be for each country's economy and employment? This is what we investigate in this paper. Prime candidates for ethanol production include Australia, China, Colombia, India, Indonesia, Mexico, Pakistan, the Philippines, Thailand, and the United States of America. We evaluated the potential socioeconomic impacts of developing this promising industry by using an input–output approach. More specifically, we adapted the Brazilian method of producing ethanol to these countries' distinct economies. We augmented the input–output table of each country, inserting a new ethanol industry based on the Brazilian ethanol production model. We also augmented their new ethanol industry's sales following a hypothetical hydrous and anhydrous ethanol consumption scenario. Thereafter, we reconcile the national accounts, concluding our analysis by quantifying and comparing the different net effects of this new industry for each of the assessed countries for the year of 2009. We demonstrate which industries would be expected to be positively or negatively impacted by this substitution in each country; and find that not all of the countries we assessed would experience positive socioeconomic results from emulating Brazil's production of ethanol. [ABSTRACT FROM AUTHOR]

In this paper, the influence of different fiber materials on the dynamic splitting mechanical properties of concrete was investigated. Brazil disc dynamic splitting tests were conducted on plain concrete, palm fiber-reinforced concrete, and steel fiber-reinforced concrete specimens using a split Hopkinson pressure bar (SHPB) test device with a 100 mm diameter and a V2512 high-speed digital camera. The Digital Image Correlation (DIC) technique was used to analyze the fracture process and crack propagation behavior of different fiber-reinforced concrete specimens and obtain their dynamic tensile properties and energy dissipation. The experimental results indicate that the addition of fibers can enhance the impact toughness of concrete, reduce the occurrence of failure at the loading end of specimens due to stress concentration, delay the time to failure of specimens, and effectively suppress the expansion of cracks. Steel fibers exhibit a better crack-inhibiting effect on concrete compared to palm fibers. The incident energy for the three types of concrete specimens is roughly the same under the same impact pressure. Compared with plain concrete, the energy absorption rate of palm fiber concrete is decreased, while that of steel fiber concrete is increased. Palm fiber-reinforced concrete and steel fiber-reinforced concrete have lower peak strains than plain concrete under the same loading duration. The addition of steel fibers significantly impedes the internal cracking process of concrete specimens, resulting in a relatively slow growth of damage variables. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to analyze the differences related to work values and attitudes toward the technology of Generation Z in Brazil and Germany. Method: The proposed hypotheses were tested in a survey of 122 Brazilian and German participants. The data were analyzed using t-test and logistic regression models. Main Results: The results present differences between Brazilian and German Generation Z, challenging the literature that analyzes Generation Z as a global generation and reinforcing cultural differences between nationalities. The Brazilian sample presents more instrumental and prestige work values and is more positive and less negative regarding technology than the German sample. Relevance/Originality: The paper’s contribution provides evidence of Generation Z’s differences according to nationalities relevant to shaping their relationship with work and technology. The analysis of both constructs is interesting nowadays because of their interrelationship and the current changes in global work boundaries. Theoretical/Methodological Contributions: The literature predominantly presents that Generation Z is a global generation. Comparing participants from two countries with different levels of development provides an insight into their differences regarding work values and attitudes, which can be valuable for business management literature. Practical/Social Contributions: Recommendations for businesses are provided to improve attraction and retention strategies to tackle the shortage of skilled workers. This implies management strategies for firms with multicultural teams. [ABSTRACT FROM AUTHOR]

This paper analyzes the policy dismantling process in the Brazilian innovation system since mid-2010. The research describes how this policy change has been undertaken and explains the strategies deployed and major causes. The study is theoretically grounded in the debate of policy dismantling, meaning changes that result in cuts, reductions, or even abolition of budget, rules, capacities, and instruments of a governmental area. A mixed-methods approach, both quantitative and qualitative, is employed. First, it examines the dismantling process in the last years, focusing on the budget execution patterns of the major policy instruments and agencies in charge of innovation at the federal level. The research relies on the stakeholders' perception by conducting semi-structured interviews with experts regarding strategies, rationale, reactions, and effects. The empirical findings show the dismantling occurs in both dimensions: density (number of tools reduced) and, mainly, the intensity (budget cuts), varying according to government areas. The interviewees highlighted the prevailing strategy as active dismantling, in which the fiscal austerity aggravated by the COVID-19 crisis, an ideological shift in the government coalition, policy particularities, and a low level of prioritization in innovation by the domestic business community are the main factors that affect the politicians' preferences to dismantle. Finally, the process seriously affects the national innovation system, such as the loss of bureaucratic and policy capacity, brain drain, and lag in technology, productivity, and consequently, in the country's economic performance. [ABSTRACT FROM AUTHOR]