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This paper explores how research advisory groups can be a vehicle for youth activism. It draws on our experiences with young activists, aged 15–26 years, in India and Brazil, who were advisors on a research project focused on youth livelihoods in cities. These young people played a vital role in supporting youth researchers, identifying research themes and developing engagement and advocacy strategies. Through this paper, we explore how the Youth Expert Group advisory model evolved differently in each location and examine how these were shaped by the context, the 'adult' research team and the youth activists themselves. A critically reflexive response in intergenerational partnership is essential to support youth activists in research activities. [ABSTRACT FROM AUTHOR]

In a context of rapid technological innovation and expensive new products, the paper calls for the generation of real-world data to inform decision-making and an international discussion on the affordability of new medicines, particularly for low- and middle-income countries. Without these, the challenges of health judicialization will continue to grow. [ABSTRACT FROM AUTHOR]

Leishmaniasis is a public health concern, especially in Brazil and India. The drugs available for therapy are old, cause toxicity and have reports of resistance. Therefore, this paper aimed to carry out initial structure-activity relationships (applying molecular docking and dynamic simulations) of arylindole scaffolds against the pteridine reductase (PTR1), which is essential target for the survival of the parasite. Thus, we used a series of 43 arylindole derivatives as a privileged skeleton, which have been evaluated previously for different biological actions. Compound 7 stood out among its analogues presenting the best results of average number of interactions with binding site (2.00) and catalytic triad (1.00). Additionally, the same compound presented the best binding free energy (−32.33 kcal/mol) in dynamic simulations. Furthermore, with computational studies, it was possible to comprehend and discuss the influences of the substituent sizes, positions of substitutions in the aromatic ring and electronic influences. Therefore, this study can be a starting point for the structural improvements needed to obtain a good leishmanicidal drug. [ABSTRACT FROM AUTHOR]

Inequality refers to the extent to which income is evenly distributed across a population (IMF, 2022). The World Inequality Report (WIR, 2022) reveals the latest trends in global income inequality. It shows that the richest 10% of the global population currently earns 52% of global income, while the poorest half of the population takes 8.5% of it. In emerging market economies, indications are that income inequality is rising; sometimes accompanied by accelerating economic growth. Reports reveal that Brazil's six richest individuals command the same wealth associated with the poorest 50% of the population, or about 100 million people. The World Inequality Report (2021) reveals India as a poor and unequal country, with the bottom half of the population earning only 13% of the nation's income, while the top 10% controls 57% by 2021. In South Africa, the IMF (2020) acknowledges that the nation's inequality has remained at high levels, perhaps the highest in the world. This is characterized by a highly skewed income distribution pattern, with the top 20% of the population controlling 68% of national income. These developments hold grave implications for emerging markets, particularly their ability to meet the 2030 Sustainable Development Goals. The main objective of this paper is to explore income inequality in emerging market economies, with a multi-country study of Brazil, India and South Africa. The methodological approach to the study involves both qualitative and quantitative analytical techniques. It relies on secondary data in publications from various sources, complemented by interviews of stakeholders in the study areas. Findings reveal the income inequality is undermining economic growth and development in emerging markets, fueling conflicts and triggering migration in some countries. The paper presents recommendations, underpinned by progressive taxation, social safety nets, gender equality, development of social services, and leveraging economic and financial incentives for labour-intensive industries. [ABSTRACT FROM AUTHOR]

Tobacco use is associated with an annual global economic cost of two trillion dollars and mortality of half of its regular users. Tobacco leaf cultivation is the starting point of the tobacco cycle. Tobacco farming employs millions of small-scale tobacco farmers around the globe, most of whom are out growers who rely on the tobacco industry. This paper aims to map the regions of greatest tobacco production globally (i.e., the US, Brazil, China, Indonesia, India, and Zambia) and tobacco use rates in these locations. Smoking rates were higher in those areas, except for India, where important population subgroups reported an upward trend for tobacco smoking. In general, there was a relationship between tobacco farming and tobacco smoking. Tobacco farming may lead to a higher risk of tobacco use and lower adherence to tobacco control policies. Therefore, promoting viable alternative livelihoods for tobacco farmers must have dual benefits. Additionally, specific health prevention policies might be necessary for those populations reporting higher tobacco use and lower perception of tobacco-related health risks. [ABSTRACT FROM AUTHOR]

• A new implementation of the FP method for storage systems leads to a more accurate objective function evaluation especially in nonlinear cases and to a vectorized unconstrained optimization problem solved many times faster. • FP results as compared to stochastic dynamic programming and novel two-stage stochastic programming results show its overall superiority. • A multi-reservoir application of the FP model is developed with corrective simulations to estimate moments of spillway flows and all other covariance terms. The Fletcher-Ponnambalam (FP) method is an explicit stochastic optimization method for design and operations management of real-world storage systems including surface water reservoir and groundwater management problems. The FP method faces no curse of dimensionality and no need for scenario generation. The paper introduces a novel implementation for the FP method, named FP-2022 here for clarity, by removing the need for nonlinear constraints and by decreasing the number of decision variables to just one third of its original value, significantly reducing solving time (∼27 times faster than the original formulation). Additionally, new expressions derived for the first and second moments of both reservoir release deficit and surplus variables and the already-derived expression for the second moments of reservoir storages are incorporated into the FP-2022 formulation enabling the method to reach an improved optimality for a nonlinear objective function. The enhanced procedure is applied to solving a reservoir operation optimization problem for a major dam in Brazil. The result comparisons made with other methods along with a thorough analysis of release operation policies prove the optimality of this highly numerically efficient and convenient-to-use FP-2022 method. Finally, a multi-reservoir application of the model is also tested with corrective simulations for improved estimates of some additional variables of interest. A specific constraint-handling approach regarding reservoir release lower and upper bounds is also presented. Satisfactory results are obtained for solving the Parambikulam-Aliyar reservoir system, a real world five-reservoir operation optimization problem from India. [ABSTRACT FROM AUTHOR]

This paper compares and contrasts the spread and impact of COVID-19 in the three countries most heavily impacted by the pandemic: the United States (US), India and Brazil. All three of these countries have a federal structure, in which the individual states have largely determined the response to the pandemic. Thus, we perform an extensive analysis of the individual states of these three countries to determine patterns of similarity within each. First, we analyse structural similarity and anomalies in the trajectories of cases and deaths as multivariate time series. Next, we study the lengths of the different waves of the virus outbreaks across the three countries and their states. Finally, we investigate suitable time offsets between cases and deaths as a function of the distinct outbreak waves. In all these analyses, we consistently reveal more characteristically distinct behaviour between US and Indian states, while Brazilian states exhibit less structure in their wave behaviour and changing progression between cases and deaths. • We compare and contrast the natural history of COVID-19 in the US, India and Brazil. • Case, death and mortality rate trajectories are analysed on a state-by-state basis. • We quantify heterogeneity and identify anomalous states therein within each country. • Wave behaviours are explored and clustered across the three countries states. • New mathematical methods quantify the lag in the progression from cases and deaths. [ABSTRACT FROM AUTHOR]