Re-Imagining School Feeding : A High-Return Investment in Human Capital and Local Economies

Analysis shows that a quality education, combined with a guaranteed package of health and nutrition interventions at school, such as school feeding, can contribute to child and adolescent development and build human capital. School feeding programs can help get children into school and help them stay there, increasing enrollment and reducing absenteeism. Once children are in the classroom, these programs can contribute to their learning by avoiding hunger and enhancing cognitive abilities. The benefits are especially great for the poorest and most disadvantaged children. As highlighted in the World Bank’s 2018 World Development Report (World Bank 2018), countries need to prioritize learning, not just schooling. Children must be healthy, not hungry, if they are to match learning opportunities with the ability to learn. In the most vulnerable communities, nutrition-sensitive school meals can offer children a regular source of nutrients that are essential for their mental and physical development. And for the growing number of countries with a “double burden” of undernutrition and emerging obesity problems, well-designed school meals can help set children on the path toward more healthy diets. In Latin America, for example, where there is a growing burden of noncommunicable diseases (NCDs), school feeding programs are a key intervention in reducing undernutrition and promoting healthy diet choices. Mexico’s experience reducing sugary beverages in school cafeterias, for example, was found to be beneficial in advancing a healthy lifestyle. A large trial of school-based interventions in China also found that nutritional or physical activity interventions alone are not as effective as a joint program that combines nutritional and educational interventions. In poor communities, economic benefits from school feeding programs are also evident—reducing poverty by boosting income for households and communities as a whole. For families, the value of meals in school is equivalent to about 10 percent of a household’s income. For families with several children, that can mean substantial savings. As a result, school feeding programs are often part of social safety nets in poor countries, and they can be a stable way to reliably target pro-poor investments into communities, as well as a system that can be scaled up rapidly to respond to crises. There are also direct economic benefits for smallholder farmers in the community. Buying local food creates stable markets, boosting local agriculture, impacting rural transformation, and strengthening local food systems. In Brazil, for example, 30 percent of all purchases for school feeding come from smallholder agriculture (Drake and others 2016). These farmers are oftentimes parents with schoolchildren, helping them break intergenerational cycles of hunger and poverty. Notably, benefits to households and communities offer important synergies. The economic growth in poor communities helps provide stability and better-quality education and health systems that promote human capital. At the same time, children and adolescents grow up to enjoy better employment and social opportunities as their communities grow

International benchmarking and determinants of mathematics achievement in two Indian states

Evidence from cross-country studies suggests that the sustainability of India's rapid economic growth will be conditioned by the quality of its education. This paper analyzed a 2005 World Bank-sponsored survey of Grade Nine students in the states of Rajasthan and Orissa. The survey used internationally comparable items from the 1999 Trends of Mathematics Study to provide the first international benchmark for education quality in India for three decades. The study finds that only 15% and 25% of students in Rajasthan and Orissa, respectively, have achieved the expected international average of these items. The study further shows that increasing students' opportunity to learn through better pedagogical practices and enhanced schooling experience can increase performance, while mitigating between-school inequality, and reducing the achievement gap between boys and girls, holding other factors constant.student achievement, international comparison, school quality,

Epoxide metabolites of arachidonate and docosahexaenoate function conversely in acute kidney injury involved in GSK3β signaling

Acute kidney injury (AKI) causes severe morbidity and mortality for which new therapeutic strategies are needed. Docosahexaenoic acid (DHA), arachidonic acid (ARA), and their metabolites have various effects in kidney injury, but their molecular mechanisms are largely unknown. Here, we report that 14 (15)-epoxyeicosatrienoic acid [14 (15)-EET] and 19 (20)-epoxydocosapentaenoic acid [19 (20)-EDP], the major epoxide metabolites of ARA and DHA, respectively, have contradictory effects on kidney injury in a murine model of ischemia/reperfusion (I/R)-caused AKI. Specifically, 14 (15)-EET mitigated while 19 (20)-EDP exacerbated I/R kidney injury. Manipulation of the endogenous 19 (20)-EDP or 14 (15)-EET by alteration of their degradation or biosynthesis with selective inhibitors resulted in anticipated effects. These observations are supported by renal histological analysis, plasma levels of creatinine and urea nitrogen, and renal NGAL. The 14 (15)-EET significantly reversed the I/R-caused reduction in glycogen synthase kinase 3β (GSK3β) phosphorylation in murine kidney, dose-dependently inhibited the hypoxia/reoxygenation (H/R)-caused apoptosis of murine renal tubular epithelial cells (mRTECs), and reversed the H/R-caused reduction in GSK3β phosphorylation in mRTECs. In contrast, 19 (20)-EDP dose-dependently promoted H/R-caused apoptosis and worsened the reduction in GSK3β phosphorylation in mRTECs. In addition, 19 (20)-EDP was more metabolically stable than 14 (15)-EET in vivo and in vitro. Overall, these epoxide metabolites of ARA and DHA function conversely in I/R-AKI, possibly through their largely different metabolic stability and their opposite effects in modulation of H/R-caused RTEC apoptosis and GSK3β phosphorylation. This study provides AKI patients with promising therapeutic strategies and clinical cautions

Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques

Supersaturated designs (SSDs) are often used to reduce the number of experimental runs in screening experiments with a large number of factors. As more factors are used in the study, the search for an optimal SSD becomes increasingly challenging because of the large number of feasible selection of factor level settings. This paper tackles this discrete optimization problem via an algorithm based on swarm intelligence. Using the commonly used E(s(2)) criterion as an illustrative example, we propose an algorithm to find E(s(2))–optimal SSDs by showing that they attain the theoretical lower bounds in Bulutoglu and Cheng (2004) and Bulutoglu (2007). We show that our algorithm consistently produces SSDs that are at least as efficient as those from the traditional CP exchange method in terms of computational effort, frequency of finding the E(s(2))-optimal SSD and also has good potential for finding D(3)–, D(4)– and D(5)–optimal SSDs