Concept of Autoimmune Disease as per Ayurveda w.s.r. to Indralupta

Alopecia areata, is an autoimmune disease which is characterised by hair fall in small patches. It can be correlated to Indralupta through its Nidana Panchaka. Alopecia areata is the commonest cause of patchy hair loss. It may be regarded as an immune-mediated type of hair loss. The condition affects 0.1% to 0.2% of the population and occurs in both males and females. A single round or oval patch of complete baldness develops rapidly usually over the vertex or in the occipital region. There are no subjective symptoms and the denuded area of scalp is of normal color and texture. Patches in the beard may occur alone or in association. In an auto immune disease, there is a wrong reaction of our body immune system against the body's own tissue. Ayurveda suggests this in a slightly different way that the immune system do not accidentally attack own tissues but it does defence against a form of harmful metabolites called Ama

Women's Empowerment in Agriculture Production Diversity, and Nutrition: Evidence from Nepal

It is increasingly recognised that agricultural growth and development do not necessarily translate into improved nutrition outcomes. Policymakers are increasingly grappling with how to design and implement agricultural policies and programmes that can also achieve nutritional objectives. Agriculture has direct links to nutrition in that it provides a source of food and nutrients and a broad-based source of income, as well as directly influencing food prices. Gender roles mediate these linkages, particularly in relation to increased food availability and increased income. Thus, one possible pathway through which agricultural development could improve health and nutrition outcomes is by considering gender roles and gender equity in agriculture. Using household survey data from Nepal, the author of this paper investigates the impact of women’s empowerment in agriculture and production diversity on dietary diversity and anthropometric outcomes of mothers and children. Production diversity is positively associated with mothers’ dietary diversity and body mass index. Production diversity is positively associated with dietary diversity for children under two and predicts weight-for-age (WAZ), weight-for-height (WHZ), and height-for-age (HAZ) z-scores of children over two years of age. Indicators of empowerment are significantly associated with maternal outcomes but have a variable effect on child outcomes. Women’s autonomy in production and hours worked improve maternal and children’s dietary diversity and child HAZ.UK AidDepartment for International Development (DFID

Implementation of Static and Semi-Static Versions of a 24+8x8 Quad-rail NULL Convention Multiply and Accumulate Unit

This paper focuses on implementing a 2s complement 8x8 dual-rail bit-wise pipelined multiplier using the asynchronous null convention logic (NCL) paradigm. The design utilizes a Wallace tree for partial product summation, and is implemented and simulated in VHDL, the transistor level, and the physical level, using a 1.8V 0.18mum TSMC CMOS process. The multiplier is realized using both static and semi-static versions of the NCL gates; and these two implementations are compared in terms of area, power, and speed

Implementation of Static and Semi-Static Versions of a Bit-wise Pipelined Dual-rail NCL 2S Complement Multiplier

This paper focuses on implementing a 2s complement 8x8 dual-rail bit-wise pipelined multiplier using the asynchronous NULL Convention Logic (NCL) paradigm. The design utilizes a Wallace tree for partial product summation, and is implemented and simulated in VHDL, the transistor level, and the physical level, using a 1.8V 0.18,um TSMC CMOS process.The multiplier is realized using both static and semi-static Dualversions of the NCL gates; and these two implementations are compared in terms of area, power, and speed

Foresight and trade-off analyses : tools for science strategy development in agriculture and food systems research

Foresight and trade-off analyses offer organizations such as CGIAR an opportunity to better prepare for alternative futures through adaptive research strategy and management. This essay introduces a set of papers that explore foresight and trade-off analyses within the context of the major reforms now occurring in the CGIAR. We tease out lessons not only for One CGIAR, but also for international development research organizations more broadly.Publisher PDFPeer reviewe

A Process for Co-Designing Educational Technology Systems for Refugee Children

There is a growing interest in the potential for technology to facilitate emergency education of refugee children. However, designing in this space requires knowledge of the displaced population and the contextual dynamics surrounding it. Design should therefore be informed by both existing research across relevant disciplines, and from the practical experience of those who are on the ground facing the problem in real life. This paper describes a process for designing appropriate technology for these settings. The process draws on literature from emergency education, student engagement and motivation, educational technology, and participatory design. We emphasise a thorough understanding of the problem definition, the nature of the emergency, and of socio-cultural aspects that can inform the design process. We describe how this process was implemented leading to the design of a digital learning space for children living in a refugee camp in Greece. This drew on involving different groups of participants such as social-workers, parents, and children

Dynamic modeling of mean-reverting spreads for statistical arbitrage

Statistical arbitrage strategies, such as pairs trading and its generalizations, rely on the construction of mean-reverting spreads enjoying a certain degree of predictability. Gaussian linear state-space processes have recently been proposed as a model for such spreads under the assumption that the observed process is a noisy realization of some hidden states. Real-time estimation of the unobserved spread process can reveal temporary market inefficiencies which can then be exploited to generate excess returns. Building on previous work, we embrace the state-space framework for modeling spread processes and extend this methodology along three different directions. First, we introduce time-dependency in the model parameters, which allows for quick adaptation to changes in the data generating process. Second, we provide an on-line estimation algorithm that can be constantly run in real-time. Being computationally fast, the algorithm is particularly suitable for building aggressive trading strategies based on high-frequency data and may be used as a monitoring device for mean-reversion. Finally, our framework naturally provides informative uncertainty measures of all the estimated parameters. Experimental results based on Monte Carlo simulations and historical equity data are discussed, including a co-integration relationship involving two exchange-traded funds.Comment: 34 pages, 6 figures. Submitte

Integrating agriculture and health research for development: LCIRAH as an interdisciplinary programme to address a global challenge

The multiple burdens of persistent undernutrition and micronutrient deficiencies, along with the rapidly growing rates of overweight, obesity, and associated chronic diseases, are major challenges globally. The role of agriculture and the food system in meeting these challenges is very poorly understood. Achieving food security and addressing malnutrition in all its forms, a Sustainable Development Goal, requires an understanding of how changing food systems affect health outcomes and the development of new tools to design and evaluate interventions. An interinstitutional programme to address this interdisciplinary research challenge is described. Over the past seven years, the Leverhulme Centre for Integrative Research on Agriculture and Health has built a portfolio of successful and innovative research, trained a new cadre of interdisciplinary researchers in “Agri‐Health,” and built an international research community with a particular focus on strengthening research capacity in low‐ and middle‐income countries. The evolution of this programme is described, and key factors contributing to its success are discussed that may be of general value in designing interdisciplinary research programmes directed at supporting global development goals

Economic inequality in malnutrition: a global systematic review and meta-analysis

Objective: To describe the evidence on global and regional economic inequality in malnutrition, and the associations between economic inequality and malnutrition. Methods: We conducted a systematic review and meta-analysis. Between 1 November 2020 and 22 January 2021, we searched Medline, Embase, Global Health, Eldis, Web of Science and EBSCO Discovery Service. We contacted 39 experts and tracked citations. We included any study reporting a concentration index (CIX) relating economic status and nutritional status and any multilevel study reporting an association between economic inequality and nutritional status. Nutritional status was measured as stunting, wasting, anaemia, or overweight in children (<5 years), or underweight, overweight or obesity, or anaemia in adults (15–49 years). We had no study date or language restriction. Quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS tool). We mapped estimates and pooled them using multilevel random-effects meta-analyses. Results: From 6185 results, 91 studies provided 426 CIX (>2.9 million people) and 47 associations (~3.9 million people). Stunting (CIX −0.15 (95% CI −0.19 to −0.11)) and wasting (−0.03 (95% CI −0.05 to −0.02)) are concentrated among poor households. Adult overweight and obesity is concentrated in wealthier households (0.08 (95% CI −0.00 to 0.17)), particularly in South Asia (0.26 (95% CI 0.19 to 0.34)), but not in Europe and Central Asia (−0.02 (95% CI −0.08 to 0.05)) or North America (−0.04 (95% CI −0.10 to 0.03)). We found no association between 0.1 increase in Gini coefficient and adult underweight (OR 1.03 (95% CI 0.94 to 1.12)) or overweight and obesity (0.92 (95% CI 0.80 to 1.05)). Conclusions: There is good evidence that the prevalence of malnutrition varies by levels of absolute economic status. Undernutrition is concentrated in poor households, whereas concentration of overweight and obesity by economic status depends on region, and we lack information on economic inequalities in anaemia and child overweight. In contrast, links between malnutrition and relative economic status are less clear and should not be assumed; robust evidence on causal pathways is needed. PROSPERO registration number: CRD42020201572