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The article discusses the use of paper for social communication in early modern India, with focus given to the circulation of puranic manuscripts, or Hindu religious manuscripts. The author demonstrates how paper influenced communication and helped develop an Indian public sphere in spite of a lack of Indian print culture in the early modern period. Particular focus is given to the movement of texts within the Brahman social networks of Maratha, India, as well as the Maratha state's efforts to regulate communication deemed subversive to Brahman elites.

The emergent technology has been increasingly incorporated with the tourism industry. In the digital world, social media plays an important role in identifying the most visited tourist places. More than 80% of people commonly used the social media platform called 'Twitter'. By using tweet reviews, tourists around the world know about the feelings, suggestions and opinions of most visited tourist places in the selected region. This paper recommends an approach for the development of trip planning in South India based on tourist's preferences. For the research, we use Twitter Application Programming Interface to collect information about the most visited tourist places in South India by using tweets reviews and store it as South India Tourism Tweet reviews database. This paper mainly focuses on analyzing Twitter reviews, which are very helpful to locate the most visited tourist place. In the tweets where reviews are mostly unstructured and heterogeneous, which are then classified into positive tweets, negative tweets and neutral tweets by using the preprocessing technique and machine learning algorithm called support vector machine. Performance measures are calculated by using the classification results. Finally, the results are plotted by using the classification results and performance measures as a wordcloud. This can be very useful for tourists to select the most visited tourist locations. The proposed system can satisfy individual tourist needs. [ABSTRACT FROM AUTHOR]

This paper uncovers evidence of political cycles in developmental outcomes in the Indian context. Comparing children born to the same mother, it shows that children born 0–11 months before scheduled state legislative assembly elections have a significantly lower risk of neonatal mortality. The effect of being born just before elections is higher in politically more competitive regions. The paper provides some evidence of the channels behind this result. The usage of prenatal care increases before elections and mothers of children born before elections are more likely to have antenatal checkups and tetanus injections during pregnancy. Components of antenatal checkups, like the probability of having a blood test or an abdominal examination during pregnancy, also increase before elections. The improvement in child health outcomes before elections seems to be driven by a transfer of resources from non-election to election years rather than an overall improvement in child health outcomes. [ABSTRACT FROM AUTHOR]

Can public interventions persistently reduce conflict? Adverse weather shocks, through their impact on incomes, have been identified as robust drivers of conflict in many contexts. An effective social insurance system moderates the impact of adverse shocks on household incomes, and hence, could attenuate the link between these shocks and conflict. This paper shows that a public employment program in India, by providing an alternative source of income through a guarantee of 100 days of employment at minimum wages, effectively provides insurance. This has an indirect pacifying effect. By weakening the link between productivity shocks and incomes, the program uncouples productivity shocks from conflict, leading persistently lower conflict levels. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to select the optimal model of a hybrid renewable-energy microgrid (MG) system for a village in India. The MG comprises solar photovoltaic (PV) modules, a wind turbine generator, a biomass generator, a battery bank, a diesel generator and an electric vehicle. The optimal model selection is based on technical, economic, environmental, social and reliability parameters. A novel spoonbill swarm optimization algorithm is proposed to select the best hybrid MG system. The optimization results are compared with particle swarm optimization, the genetic algorithm and the grasshopper optimization algorithm. The number or size of components of the optimized MG system is 215 PV modules, 92 kW of wind turbine generation, 25 kW of biomass generation, 267 batteries, 22 kW of electric vehicles and 30 kW of diesel generation. The optimized system was selected based on technical factors such as renewable dispersion (93.5%), the duty factor (5.85) and excess energy (15 975 kWh/year) as well as economic considerations including the net present cost (Rs. 34 686 622) and the cost of energy (9.3 Rs./kWh). Furthermore, environmental factors such as carbon emissions (396 348 kg/year) and atmospheric particulate matter (22.686 kg/year); social factors such as the human progress index (0.68411), the employment generation factor (0.0389) and local employment generation (15.64643); and reliability parameters including loss of power supply probability (0.01%) and availability index (99.99%) were considered during the selection process. The spoonbill swarm optimization algorithm has reduced the convergence time by 1.2 times and decreased the number of iterations by 0.83 times compared with other algorithms. The performance of the MG system is validated in the MATLAB® environment. The results show that the MG system is the optimal system considering technical, economic, environmental, social and reliability parameters. Additionally, the spoonbill swarm optimization algorithm is found to be more efficient than the other algorithms in terms of iteration time and convergence time. [ABSTRACT FROM AUTHOR]

The worldwide explosion of social welfare has been described as the "quiet revolution" of our time. This paper analyses the expansion of social welfare in India during the early part of the 2000s. What explains this expansion of encompassing social welfare in India, following a history of disparate and fragmented social policies? The answer, I argue, lies in recognizing the importance of the "politics of the poor," the ensemble of negotiations that encompass both electoral participation and contentious politics vis-à-vis the political institutions in India. The paper develops this argument by drawing together insights from discursive institutionalism, Indian politics, and the politics of welfare literature. Doing so enables me to examine the ways in which poor people's political practices were interpreted by India's parliamentarians to justify the legislation of India's flagship social welfare program the National Rural Employment Guarantee Act. I analyze the discourses communicated through 78 parliamentary debates in English and Hindi to enact the law. I blend this analysis with process tracing of electoral behavior of India's poor and the Maoist insurrection that exploded in the country's poorest districts at the turn of the century. [ABSTRACT FROM AUTHOR]

It is regularly pointed out that despite impressive economic growth India has the largest number of malnourished children in the world. It also has the largest number of people with diabetes despite moderate levels of obesity. These two observations may in fact be linked; poverty breeds malnutrition in children and chronic diseases in adults. This article reviews evidence on the critical role of early nutrition both for long-term health and also for reducing the intergenerational transmission of poverty. (JEL codes: I12, I14, O15) [ABSTRACT FROM PUBLISHER]

Since the inception of the novel coronavirus, immense research efforts have been made to understand how several economic indicators, including food security, would be affected. With India racing behind the United States in terms of daily infection rate and being a country with challenging food security issues, it is important to investigate how the presence of the pandemic has influenced the dynamics of food prices in the country. This paper considers seven price series from 167 markets across the five regions in India as well as the growth rate of COVID-19 infection. The paper uses a time-varying autoregressive model to investigate the nonlinear dynamics of food prices in relation to the pandemic in India. The resultant models reveal strong asymmetric properties with shock-inflicted persistence, which appear not to converge over the simulation period. Moreover, in terms of the location of the burden of the pandemic impact, we find a food product divide. [ABSTRACT FROM AUTHOR]

Legal predictive models are of enormous interest and value to legal community. The stakeholders, particularly, the judges and attorneys, can take the best advantages of these models to predict the case outcomes to further augment their future course of actions, for example speeding up decision making, support arguments, strengthening the defense, etc. However, accurately predicting the legal decisions and case outcomes is an arduous process, which involves several complex steps—finding suitable bulk case documents, data extracting, cleansing and engineering, etc. Additionally, the legal complexity further adds to its intricacies. In this paper, we introduce our newly developed Machine Learning (ML)-enabled legal prediction model and its operational prototype, eLegPredict , which successfully predicts the Indian supreme court decisions. The eLegPredict is trained and tested over 3072 supreme court cases and has achieved 76% accuracy (F1-score). The eLegPredict is equipped with a mechanism to aid end users, where as soon as a document with new case description is dropped into a designated directory, the system quickly reads through its content and generates prediction. To our understanding, eLegPredict is one of the first few legal prediction models trying to predict Indian supreme court decisions. [ABSTRACT FROM AUTHOR]

Manifest Arbitrariness Doctrine is perhaps the most important legal development of the decade for India. It is a standard that includes anything done by the legislature capriciously, irrationally and/or without adequate determining principle, excessively or disproportionately. It is being increasingly used to strike down plenary legislation under Article 14. However, there is no clarity on its application, and no literature addressing the same. Without this clarity, law-makers may inadvertently pass legislations that fail the test; and adjudicators may fail to determine when the legislations fail the test. More importantly, the Doctrine may empower judges to substitute legislative wisdom for their own. This paper alleviates these concerns by finding consistency in its application while restricting the scope of judicial scrutiny. By employing the framework of "Rules versus Standard", this paper analyses six instances of application of the Doctrine and develops a four-step test. It evinces that the Doctrine has been used in a restrictive sense to strike down plenary legislation only when first , the legislation in question is a rule as against a standard; second , it is overinclusive/underinclusive; third , due to overinclusive/underinclusive nature, it yields socially undesirable results; and fourth , these socially undesirable results are worse than the competing social results. [ABSTRACT FROM AUTHOR]

An analysis of 2,183 papers published by Chinese researchers and 1,034 papers published by Indian researchers in the field of plant-based medicine during 1990-2004 and indexed by Pub Med indicates that China's output is more than twice to India's output. Medical universities and colleges mainly contribute to China's output, while academic institutions mainly contribute to the Indian output. The major focus of Chinese researchers was on chemical analysis including chromatographic and spectrometric investigations, followed by oncology/radiation protection. Indian researchers emphasized gastroenteritis/liver diseases and oncology/radiation protection. The investigations were mainly focused on native plants of respective countries. Chinese researchers preferred to publish their work in domestic journals; Indian researchers in journals published from the Western countries. The share of papers in journals covered by SCI for India was higher than that from China. However, the proportion of papers in high impact factor journals for China is higher than for India. Average rate of citation for Chinese and Indian papers was almost the same. [ABSTRACT FROM AUTHOR]

Background Fungal disease is frequent in India, but its incidence and prevalence are unclear. This review aims at defining the frequency or burden of various fungal infections in India. Methods A systematic review of the literature on the PubMed, Embase, and Web of Science (WOS) databases was conducted using appropriate search strings. Deterministic modeling determined annual incidence and prevalence estimates for multiple life- and sight-threatening infections with significant morbidity. Results Literature searches yielded >2900 papers; 434 papers with incidence/prevalence/proportion data were analyzed. An estimated 57 251 328 of the 1 393 400 000 people in India (4.1%) suffer from a serious fungal disease. The prevalence (in millions) of recurrent vulvovaginal candidiasis is 24.3, allergic bronchopulmonary aspergillosis is 2.0, tinea capitis in school-age children is 25, severe asthma with fungal sensitization is 1.36, chronic pulmonary aspergillosis is 1.74, and chronic fungal rhinosinusitis is 1.52. The annual incidence rates of Pneumocystis pneumonia (58 400), invasive aspergillosis (250 900), mucormycosis (195 000), esophageal candidiasis in HIV (266 600), candidemia (188 000), fungal keratitis (1 017 100), and cryptococcal meningitis (11 500) were also determined. Histoplasmosis, talaromycosis, mycetoma, and chromoblastomycosis were less frequent. Conclusions India's fungal burden is high and underappreciated in clinical practice. [ABSTRACT FROM AUTHOR]

This paper examines whether a one-time, extensive, but temporary shock to cash supply can affect the adoption of digital payments. We exploit the 2016 demonetization episode in India, which overnight discontinued 86% of cash in circulation. Using novel administrative data from retail debit card transactions, we identify a 12% increase in digital payments in areas adversely affected by the cash shortage, which persisted well after the restoration of cash supply. Examining mechanisms, we find a limited role for social networks and stronger support for learning by doing. Further, information frictions hinder the immediate adoption of digital payments. (JEL E5, 023) Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

The main hindrances to the large-scale development of renewable-energy projects are the lack of bankability and the inability to align investments and investors with suitable financial instruments or robust policy measures. To illustrate a bankable project, this paper presents a research-based case study on the installation of solar photovoltaic panels on the rooftops of 195 trains of the Indian Railways. Detailed information on the annual running hours, exposure to sunlight, efficiency of solar photovoltaic generation and electrical power demands of each rail coach is considered to conduct a quantitative measure of the tentative amount of fossil fuel savings. The purpose is to provide insight into the types of renewable-energy projects that can be highly attractive to financial institutions and promoters due to their lucrative internal return on investment. As seen in this case study, there are annual savings in diesel of 12 323 088 litres and a CO2 reduction of 32 755 tonnes, with return on investment of 1.3 years. Furthermore, this study conducts a comprehensive analysis of the limitations of existing renewable-energy project financing mechanisms in India. Subsequently, three policy measures are recommended to develop a robust financial mechanism that can effectively meet the needs of investors and investors. These measures include increasing equity injection through a buy-and-hold strategy, providing direct tax benefits to promoters and financing through real-estate investment trusts. The findings are highly relevant to address the challenges associated with bridging the financial gap between access to finance and capital investment in the renewable-energy sector, especially for Asian countries. [ABSTRACT FROM AUTHOR]

This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly used counting measures violate the strong transfer axiom, which requires regressive transfers to be unambiguously poverty increasing, and they are also invariant to changes in the distribution of a given set of deprivations among the poor. The paper appeals to strong transfer as well as an additional cross-dimensional convexity property to offer axiomatic justification for distribution-sensitive multidimensional poverty measures. Given the nonlinear structure of these measures, it is also shown how the problem of an exact dimensional decomposition can be solved using Shapley decomposition methods to assess dimensional contributions to poverty. An empirical illustration for India highlights distinctive features of the distribution-sensitive measures. [ABSTRACT FROM AUTHOR]

Community engagement is gaining prominence in health research. But communities rarely have a say in the agendas or conduct of the very health research projects that aim to help them. One way thought to achieve greater inclusion for communities throughout health research projects, including during priority-setting, is for researchers to partner with community organizations (COs). This paper provides initial empirical evidence as to the complexities such partnerships bring to priority-setting practice. Case study research was undertaken on a three-stage CO-led priority-setting process for health systems research. The CO was the Zilla Budakattu Girijana Abhivrudhhi Sangha, a district-level community development organization representing the Soliga people in Karnataka, India. Data on the priority-setting process were collected in 2018 and 2019 through in-depth interviews with researchers, Sangha leaders and field investigators from the Soliga community who collected data as part of the priority-setting process. Direct observation and document collection were also performed, and data from all three sources were thematically analysed. The case study demonstrates that, when COs lead health research priority-setting, their strengths and weaknesses in terms of representation and voice will affect inclusion at each stage of the priority-setting process. CO strengths can deepen inclusion by the CO and its wider community. CO weaknesses can create limitations for inclusion if not mitigated, exacerbating or reinforcing the very hierarchies that impede the achievement of improved health outcomes, e.g. exclusion of women in decision-making processes related to their health. Based on these findings, recommendations are made to support the achievement of inclusive CO-led health research priority-setting processes. [ABSTRACT FROM AUTHOR]

In the context of globalization, the informal sector enterprises are also exposed to international competition; and therefore, they need to remain productive and competitive. In this regard, innovation is an obvious strategic choice at the firm level. Drawing from the data gathered through an extensive field survey in NCT-Delhi, India, this study observes that innovation activities in the informal enterprises take place mostly through non-research-and-development routes and rely more on interactive learning and learning by doing. The econometric analysis shows that formal interactions through subcontracting and membership in the industrial associations along with informal interactions with other firms, buyer–supplier interactions, and social capital are having positive and significant influence on product, process, and marketing innovation. However, this study reveals that formal interactions play a vital role in introducing marketing innovations. Further, the results show the essential role of in-house training, entrepreneurial expertise, and information communication technology usage at the firm level. Thus, the paper provides empirical evidence reiterating the importance of integrating informal manufacturing enterprises and their learning processes as the key components of the innovation system in India. [ABSTRACT FROM AUTHOR]

This special issue explores the operationalization of the triple helix system in developing countries by examining the university-industry relationship and its implications for national and regional innovation systems. The five papers in this issue attempt to set in perspective the role of universities in capacity building in four developing countries (India, Mexico, Chile and Thailand). The papers are based on in-depth case studies drawing on system theories such as the national and regional systems of innovation, national innovative capacity, and the triple helix system. They draw useful lessons of policy import for university managers and higher education policy-makers, local government officials and regional industry associations. They also underline the importance of policy initiatives for networking and collaboration between industry, university and government agencies. The key factors that would need to be taken into account by policy-makers and university authorities in order to ensure continuing, effective, working relationships with industry are also highlighted. [ABSTRACT FROM AUTHOR]

High prevalence of anaemia is a severe public health problem in India. In 2018, India launched the Anemia Mukt Bharat (AMB) strategy that focuses on six beneficiary groups for coverage, six institutional mechanisms for health system strengthening and six programmatic interventions to accelerate reductions in anaemia prevalence. This paper uses the Health Management Information System data (2017-18 to 2019-20) to examine gains in IFA coverage across Indian states. A coverage-based AMB index is computed to review performance across states. After the launch of AMB strategy, the Iron and Folic Acid (IFA) supplementation coverage between 2017-18 and 2019-20 has increased for all beneficiary groups [pregnant women from 78% to 90%; lactating mothers from 34% to 49%; school going adolescent girls (boys) from 23% to 40% (21% to 42%); out-of-school adolescent girls from 6% to 23%; children 5-9 years from 8% to 3% and children 6-59 months from 7% to 15%]. Coverage was relatively low for target groups being served through a multi-departmental convergence mechanism (health and other departments such as education department for schools or women and child development department for Anganwadi centres) than compared to those served by health department alone. However, no major gender disparities are noted in the coverage of IFA supplementation among school-going girls and boys. Bulk of the variations in coverage is attributable to state-specific differences. Training and sensitization workshops for state and district officials are found to be associated with increased coverage across beneficiary groups. The paper argues that despite following international best practices in the field, it is important to harness synergy in programme implementation across line departments to eliminate coverage inefficiencies. [ABSTRACT FROM AUTHOR]

Water is an essential resource for agriculture and the majority of land is irrigated through borewells or wells. The power requirement for an irrigation pump motor is fed by the on-grid power supply but the availability of electricity in rural areas is still questionable. With rising concerns about global warming and the rise in carbon footprints, it is necessary to choose clean and green energy, thereby attaining self-sustainable life. India receives yearly a mean solar irradiation of 6.5 kWh/m2day. Hence, a solar photovoltaic–water-pumping system (SPV–WPS) is a suitable alternative to grid energy; thereby, the farmers would generate electricity through the solar photovoltaic system and become self-sufficient in their energy needs. In this paper, two different agricultural fields in Tamil Nadu, India that deploy flood irrigation and drip irrigation are taken as a case study. The paper discusses the concerns on the use of grid power and their carbon footprint, design and simulation of 4- and 5.5-kW SPV–WPSs using PVsyst 7.1.1, and the advantages of using SPV–WPSs and life-cycle cost analysis on different use cases. The Government of India has introduced a special scheme to promote the installation of SPV–WPSs by offering attractive incentives through PM-Kisan Urja Suraksha evam Utthaan Mahabhiyan (KUSUM) yojana. The results of the case study show that with the use of SPV–WPSs, either with or without subsidy, the farmer could gain a minimum of 250% on the investment with a project lifetime of 25 years. [ABSTRACT FROM AUTHOR]

In India, where around 19,500 dialects are spoken, there is a great abundance of fiction quite rich in varied descriptions of old age and aging. While scholars like Pramod K. Nayar and Ira Raja have recently begun studying Indian literary texts written in English from the perspective of literary gerontology, those literary experiences of aging (which are originally in languages like Bengali, Tamil, Hindi, Oriya, etc.) are yet to be analyzed from a gerontological point of view. The present paper aims at studying the experiences of old age in 2 Indian short stories (one from Bengali Literature and another from Tamil Literature)—Bibhutibhusan Bandyopadhyay's "Drabomoyee Goes to Kashi" ("Drabomoyeer Kashibash" in Bengali) and T. Janakiraman's "The Puppet" ("Vilayattu Bommai" in Tamil). Regarding "Drabomoyee Goes to Kashi," the paper interrogates the problems in the emplacement of Hindu older widows to Kashi and explores the possibilities in Drabomoyee from ecofeminist and creatural perspectives. The discussions on "The Puppet" chiefly reflect on the social exclusion of the aging bodies of people living with dementia. Through the story of Venu, the paper shows that what the society or family generally expects from the older persons suffering from dementia may not do any good to them, and may instead lead to their institutionalization and other forms of exclusion. [ABSTRACT FROM AUTHOR]

Aims: This structured review aimed to discuss the existing literature on therapeutic hypothermia for moderate to severe neonatal encephalopathy exclusively in low- and middle-income countries (LMICs).Methods: Medline, Embase, CINHAL and Cochrane Registry were searched for original papers with therapeutic hypothermia (TH) for treating neonatal encephalopathy in LMIC with no language restrictions. The search identified 1413 papers from 1990 to 31 August 2021.Results: Twenty-one original papers were included after duplicates removal and full-text screening in the final review. Fourteen randomized control studies and seven non-randomized studies were discussed with various modes of cooling (servo-controlled, phase changing material, traditional methods), complications during cooling, mortality and long-term neurodevelopmental assessment. Although there is sufficient evidence in LMIC favouring cooling for the reduction in mortality and improving the neurodevelopmental outcomes, nonetheless these studies were widely heterogeneous in terms of method of cooling, tools for assessing developmental outcomes, age at assessment and variations in neuroimaging tools and reporting.Conclusion: Therapeutic hypothermia is beneficial in LMICs with low certainty of evidence in reducing mortality and improving neurodevelopmental outcomes. [ABSTRACT FROM AUTHOR]

Foods high in fat, sugar or salt are important contributors to the rising burden of non-communicable diseases globally and in India. Health taxes (HTs) have been used by over 70 countries as an effective tool for reducing consumption of sugar sweetened beverages (SSBs). However, the potential impacts of HTs on consumption and on revenues have not been estimated in India. This paper aims to estimate the potential impact of health taxes on the demand for sugar, SSBs and foods high in fat, sugar or salt (HFSS) in India while exploring its impact on tax revenues. PE of sugar was estimated using Private Final Consumption Expenditure and Consumer Price Index data while price elasticities for SSBs and HFSS were obtained from literature. The reduction in demand was estimated for an additional 10–30% HT added to the current goods and services tax, for varying levels of price elasticities. The results show that for manufacturers of sweets and confectionaries who buy sugar in bulk and assuming a higher price elasticity of −0.70, 20% additional HT (total tax 48%) would result in 13–18% decrease in the demand for sugar used for confectionaries and sweets. For SSBs, HT of 10–30% would result in 7–30% decline in the demand of SSBs. For HFSS food products, 10–30% HT would result in 5–24% decline in the demand for HFSS products. These additional taxes would increase tax revenues for the government by 12–200% across different scenarios. Taxing unhealthy foods is likely to reduce demand, while increasing government revenues for reinvestment back into public health programmes and policies that may reduce obesity and the incidence of non-communicable diseases in India. [ABSTRACT FROM AUTHOR]

The illegal poaching of lions for their body parts poses a severe threat to lion populations across Africa. Poaching accounts for 35% of all human-caused lion deaths, with 51% attributed to retaliatory killings following livestock predation. In nearly half of the retaliatory killings, lion body parts are removed, suggesting that high demand for lion body parts may fuel killings attributed to human-lion conflict. Trafficked items are often confiscated in transit or destination countries far from their country of origin. DNA from lion parts may in some cases be the only available means for examining their geographic origins. In this paper, we present the Lion Localizer, a full-stack software tool that houses a comprehensive database of lion mitochondrial DNA (mtDNA) sequences sourced from previously published studies. The database covers 146 localities from across the African continent and India, providing information on the potential provenance of seized lion body parts. Lion mtDNA sequences of 350 or 1,140 bp corresponding to the cytochrome b region can be generated from lion products and queried against the Lion Localizer database. Using the query sequence, the Lion Localizer generates a listing of exact or partial matches, which are displayed on an interactive map of Africa. This allows for the rapid identification of potential regions and localities where lions have been or are presently being targeted by poachers. By examining the potential provenance of lion samples, the Lion Localizer serves as a valuable resource in the fight against lion poaching. The software is available at https://lionlocalizer.org. [ABSTRACT FROM AUTHOR]

This paper exploits the social organization of India to revisit the question of education spillovers in farm productivity. The fact that social interactions mainly occur within castes in rural India provides tools to show that the observed correlation between farm productivity and neighbors' education is likely to be a spillover effect. In particular, there are no cross-caste and no cross-occupation effects, which underlines that, under specific assumptions, which are stated and explored in the paper, the education of neighbors does not capture the effect of group unobservables. This evidence is complemented by separate estimations by crops, which show results that are consistent with education spillovers. The strategy used in this paper helps understand and interpret previous findings from the literature. [ABSTRACT FROM AUTHOR]

Evidence-informed policymaking integrates the best available evidence on programme outcomes to guide decisions at all stages of the policy process and its importance becomes more pronounced in resource-constrained settings. In this paper, we have reviewed the use of systematic review evidence in framing National Health Programme (NHP) guidelines in India. We searched official websites of the different NHPs, linked to the main website of the Ministry of Health and Family Welfare (MoHFW), in December 2020 and January 2021. NHP guideline documents with systematic review evidence were identified and information on the use of this evidence was extracted. We classified the identified systematic review evidence according to its use in the guideline documents and analysed the data to provide information on the different factors and patterns linked to the use of systematic review evidence in these documents. Systematic reviews were mostly visible in guideline documents addressing maternal and newborn health, communicable diseases and immunization. These systematic reviews were cited in the guidelines to justify the need for action, to justify recommendations for action and opportunities for local adaptation, and to highlight implementation challenges and justify implementation strategies. Guideline documents addressing implementation cited systematic reviews about the problems and policy options more often than citing systematic reviews about implementation. Systematic reviews were linked directly to support statements in few guideline documents, and sometimes the reviews were not appropriately cited. Most of the systematic reviews providing information on the nature and scale of the policy problem included Indian data. It was seen that since 2014, India has been increasingly using systematic review evidence for public health policymaking, particularly for some of its high-priority NHPs. This complements the increasing investment in research synthesis centres and procedures to support evidence-informed decision making, demonstrating the continued evolution of India's evidence policy system. [ABSTRACT FROM AUTHOR]

Background Child malnutrition remains a matter of concern in India as the current levels are high and the decline is slow. National Family Health Survey (NFHS–4, 2015-16) data, for the first time, provides credible, good quality data at district level on social, household and health characteristics. Methods Techniques of spatial analysis on data in respect of 640 districts were used to identify spatial characteristics of the nutrition levels for children in the 0–60-month age group. Further, the principal component analysis (PCA) was used to identify 7 important correlates of the malnutrition out of 21 relevant components provided in the NFHS-4. The paper further uses three techniques, ordinary least squares (OLS), spatial lag model (SLM) and spatial error model (SEM) to assess the strength of correlation between the malnutrition levels and the shortlisted correlates. Results The use of SLM and SEM shows improvement in the strength of the association (high R -square) compared to OLS. Women's height and Iodized salt in stunting, child anaemia in wasting, women's height and child anaemia in underweight were found to be significant factors (P  < 0.01) along with spatial autoregressive constant. Conclusions Such analysis, in combination with PCA, has shown to be more effective in prioritizing the programme interventions for tackling child malnutrition. [ABSTRACT FROM AUTHOR]

States support transnational insurgents in an important variety of ways, from highly public efforts to transform the status quo to covert backing with limited ambitions. In this paper, we introduce a new theory to help explain variation in these strategies of external support. We argue that the offensive or defensive goals of state sponsors interact with their fears of escalation to shape how they support armed groups. Four strategies of state sponsorship emerge from different combinations of sponsor goals and escalation fears. We empirically investigate this argument with a unique medium- N study of Indian support and nonsupport for insurgents in South Asia. Based on fieldwork, primary sources, and specialized secondary literature, we uncover a rich landscape of links between India and armed groups in its neighborhood. We show a systematic connection between the strategies of support that India chooses with its aims in supporting rebels and its fears of escalation from doing so. However, there are mispredictions between our theory and empirical reality that we use in the conclusion to suggest new directions for research. [ABSTRACT FROM AUTHOR]

This paper examines a relatively neglected dimension of industrial relation in India, namely judicial intervention in industrial disputes. Through an interrogation of judicial intervention in capital-labour disputes in the state of West Bengal, the paper makes an original contribution to the literature. Through quantitative as well as qualitative examination of court cases, the paper addresses some important questions concerning the nature of judicial intervention. Does the declining force of trade union movements signify a corresponding shift to judicial recourse or an increasing pro-labour judiciary? How are the disputes read by the judiciary: do they adhere to a strict legalistic understanding or does their intervention involve going beyond the letter of the law? Is there uniformity in the nature of verdicts along the spectrum of the judiciary, ie, from the labour tribunals to the higher judiciary (High Court/Supreme Court)? Through an extensive case study of court judgments from labour tribunal to High Court to Supreme Court (where applicable), the paper situates the answers to these questions in the unique context of the sub-state of West Bengal with its specific political framework. Investigating the disjuncture between the legal prescriptions and their invisible implications, or between the jurisprudence at different levels, the paper provides clues to understanding not only the way judicial intervention plays out but also the way in which industrial relations are managed and understood in the context of West Bengal. [ABSTRACT FROM AUTHOR]

The article presents information about various papers related to geophysics. Some of the papers are "The Seismic Structure of the Saurashtra Crust in Northwest India and Its Relationship With the Reunion Plume," by G.S.P. Rao and H.C. Tewari, "Maximum Horizontal Stress Orientations in the Cooper Basin, Australia: Implications for Plate-Scale Tectonics and Local Stress Sources," by S. D. Reynolds, S. D. Mildren, R. R. Hulls, J. J. Meyer and T. Flottmann, "A Magnetic Field Model With Daily Variations of the Magnetospheric Field and Its Induced Counterpart in 2001," by V. Lesur, S. Macmillan and A. Thomson.

Whether class-size reductions improve student learning outcomes is an important policy question for India. This paper investigates the issue using a credible identification strategy to address the endogeneity of class size. Pupil fixed effects combined with value-added estimation show no significant relationship between class size and student achievement, which suggests that under current teaching practices, there is no learning gain from reducing class size. If these findings, based on a small sample in one city, hold true for the entire country, they have important policy implications. When generalized, our findings suggest that India experienced a value-subtraction from spending on reducing class sizes, and that the US$3.6 billion it spends annually on the salaries of the 0.4 million new teachers appointed between 2010 and 2017 is wasteful spending rather than an investment in improving learning. These findings imply that India could save US$19.4 billion per annum by increasing PTR to 40, without any reduction in pupil learning. [ABSTRACT FROM AUTHOR]

Continental collision zones form at convergent plate boundaries after the negatively buoyant oceanic lithosphere subducts entirely into the Earth's mantle. Consequently, orogenesis commences, and the colliding continents are sutured together. During the collision, plate convergence and motion of the sutured boundary towards the overriding plate are manifest in its deformation, as is the case for the long-term (∼50 Ma) and nearly constant convergence rate at the India–Eurasia collisional zone that hosts the Himalaya. However, despite the long history of modelling subduction-collision systems, it remains unclear what drives this convergence, especially in models where subduction is driven solely by buoyancy forces. This paper presents dynamic self-consistent buoyancy-driven 2-D whole-mantle scale numerical models of subduction-and-collision processes to explore variations in density and rheological stratification of the colliding continent and overriding plate (OP) viscosity (a proxy for OP strength) that facilitate post-collisional convergence and collisional boundary migration. In models with a moderately buoyant indenting continent, the collisional boundary advance is comparatively low (0.1–0.6 cm yr–1), and convergence is driven by the dense continental lithospheric mantle that continues to subduct as it decouples from its deforming crust. Conversely, models with a highly buoyant indenting continent show sustained indentation at 0.5–1.5 cm yr–1 until the slab detaches. Furthermore, models with a weaker OP and lower backarc viscosity show an enhanced propensity for indentation by a positively buoyant continent. These models additionally highlight the role of whole mantle flow induced by the sinking of the detached slab in the lower mantle as it sustains slow convergence at an average rate of 0.36 cm yr–1 for ∼25 Myr after break-off as well as prevents the residual slab from educting. In previous buoyancy-driven partial mantle depth models such eduction does generally occur, given that free-sinking of the detached slab in the mantle is not modelled. Although these findings widen the understanding of the long-term convergence of indenting continents, the lower post-collisional advance rates (0.3–1.5 cm yr–1) compared to India's approximate 1000–2000 km of northward indentation during the last 50 Myr attest to the need for 3-D models. [ABSTRACT FROM AUTHOR]

A novel Corona virus disease 2019 (COVID-19) outbreak is declared as the international public health emergency concern by the World Health Organization in the month of March 2020. This viral disease invented from China in the month of December 2019 has previously caused havoc around the world, including India. In this paper, efficient mathematical models using Gustafson–Kessel fuzzy clustering approach for the transmission of the COVID-19 are developed by considering the actual reported cases in the state of Tamil Nadu, India. The results proved a good concord between the reported data and the estimated data given by the proposed models. Moreover, the developed models are also capable to predict the requirements of beds in hospitals on the month of August 2020 in Tamil Nadu, India. Also, this work suggests strictly implementing/extending the complete lockdown for at least 21 days in the month of August 2020 and immediate separation of infected cases are the positive steps to reduce the spread of novel corona virus in Tamil Nadu state, India. [ABSTRACT FROM AUTHOR]

In response to the Covid-19 pandemic, the US government used novel policies to accelerate research, development, and production of a diversified portfolio of new vaccines. This article begins by describing the Defense Production Act (DPA) of 1950 and the initial 'priority-rated' contracts agreed to under Operation Warp Speed in 2020 to expedite manufacturing and achieve scale, which succeeded in producing hundreds of millions of doses of Covid-19 vaccines by early 2021. However, a puzzle soon emerged, as the scale of US vaccine production was shortly thereafter overtaken by plants in the European Union and India. The paper investigates the trade-offs US policy-makers faced in early 2021—once much of the initial uncertainty about the safety and effectiveness of many Covid-19 vaccines had been resolved—about whether to recalibrate contracts to expand production capacity to help meet global, instead of US, vaccine demand. It also examines the emergence of input shortages and assesses whether both the price constraints implicit in the 2020 DPA contracts and business decisions made to quicken the process of bringing new vaccine plants online globally inadvertently exacerbated them. It also explores the potential need for complementary, input capacity-enhancing policies in the face of highly fragmented, cross-border Covid-19 vaccine supply chains. [ABSTRACT FROM AUTHOR]

The Indian Environmental Radiation Monitoring Network continuously monitors the outdoor natural gamma absorbed dose rate in air at different locations throughout India by employing Geiger–Mueller (GM) detector-based field-installed environmental radiation monitors (ERMs). Hyderabad, Telangana, India is known to have high natural background radiation levels due to the presence of high concentrations of primordial radionuclides in its granitic rocks. There are a total of 59 ERMs installed at various locations across Hyderabad. Long-term monitoring data of these locations are presented in this paper. The mean values of outdoor natural gamma absorbed dose rate in air at the monitoring locations were found to vary in the range of 104–258 nGy.h−1 with a mean of 193 ± 40 nGy.h−1. The mean annual effective dose due to outdoor natural gamma radiation was estimated to be 0.24 ± 0.05 mSv.y−1. Analysis of the long-term seasonal variation of outdoor natural gamma absorbed dose rate in air showed that the same was lowest during monsoons. [ABSTRACT FROM AUTHOR]

Air pollution is a growing concern in India, and its adverse health effects are well documented. Climate change is likely to exacerbate this problem by altering weather patterns and increasing the frequency and severity of extreme events. This paper examines the potential impact of climate change on ambient air pollution in India and its implications for policy design. Our analysis reveals that pollution in India is highly sensitive to variation in weather, particularly in the densely populated Indus-Gangetic Plain. Using our estimated relationship between weather and pollution, we predict that changing weather patterns will increase average PM2.5 concentrations by 3.1 µg/m3, leading to a loss of 364 million years of life expectancy. To address this challenge, we propose an emissions fee calibrated to be highest in regions most vulnerable to persistently high levels of pollution and most sensitive to future deterioration in air quality due to climate change. [ABSTRACT FROM AUTHOR]

Health management information systems (HMIS) produce large amounts of data about health service provision and population health, and provide opportunities for data-based decision-making in decentralized health systems. Yet the data are little-used locally. A well-defined approach to district-level decision-making using health data would help better meet the needs of the local population. In this second of four papers on district decision-making for health in low-income settings, our aim was to explore ways in which district administrators and health managers in low- and lower-middle-income countries use health data to make decisions, to describe the decision-making tools they used and identify challenges encountered when using these tools. A systematic literature review, following PRISMA guidelines, was undertaken. Experts were consulted about key sources of information. A search strategy was developed for 14 online databases of peer reviewed and grey literature. The resources were screened independently by two reviewers using pre-defined inclusion criteria. The 14 papers included were assessed for the quality of reported evidence and a descriptive evidence synthesis of the review findings was undertaken. We found 12 examples of tools to assist district-level decision-making, all of which included two key stages-identification of priorities, and development of an action plan to address them. Of those tools with more steps, four included steps to review or monitor the action plan agreed, suggesting the use of HMIS data. In eight papers HMIS data were used for prioritization. Challenges to decision-making processes fell into three main categories: the availability and quality of health and health facility data; human dynamics and financial constraints. Our findings suggest that evidence is available about a limited range of processes that include the use of data for decision-making at district level. Standardization and pre-testing in diverse settings would increase the potential that these tools could be used more widely. [ABSTRACT FROM AUTHOR]

In recent years there have been conscious efforts put by researchers in India to generate the soil-to-plant 137Cs transfer factor values. This review study is aimed at providing a comprehensive background of 137Cs transfer rates around the environs of a few nuclear power plant sites of India. As a part of this, the study looked into 137Cs transfer rates from soil to various plant species. The effort was made to quantify the transfer rates of 137Cs and various parameters affecting the movement of 137Cs in the terrestrial environment. The past and current knowledge on 137Cs transfer factors available in the literature were reviewed thoroughly and highlighted the need for incorporating lesser known and overlooked aspects of radionuclide behaviour for future studies. The paper also tried to identify and highlight the gaps and inconsistencies in the reported values of 137Cs transfer factors. [ABSTRACT FROM AUTHOR]

In this paper, we consider whether the representation of historically disenfranchised minorities in government can reduce violence suffered by these groups. To answer this question, we examine the impact of political parties that represent India's marginalized Scheduled Castes (SCs). We address the endogenous selection of minority-favoring parties using state-level variation in aggregations of close election outcomes. We find that a 10 percentage-point increase in representation reduces the minority murder rate by 3 percentage points. An analysis of channels suggests that politicians respond to minority constituents by increasing police effort in responding to the victimization of SCs, which may have the effect of deterring future offenders. Moreover, improvements in self-reported attitudes toward government institutions suggest that our results are not the product of negative reporting bias in government crime statistics (JEL : J15, D72, K14). [ABSTRACT FROM AUTHOR]

Introduction: In India, 38.7% of adults are exposed to SHS at home and 30.2% at work. This paper estimates the direct economic costs of diseases attributable to secondhand smoking (SHS) in India for persons aged 15 years and above.Aims and Methods: Nationally representative data on healthcare expenditures, healthcare utilization, and SHS prevalence were used to estimate economic costs attributable to SHS. A prevalence-based attributable risk approach was used for estimating the attributable direct costs. To estimate the SHS-attributable fraction, the excess utilization of healthcare among SHS exposed non-smokers compared to unexposed non-smokers was estimated using a method of propensity score matching (PSM).Results: The annual direct economic costs attributable to SHS from all diseases in India in the year 2017 for persons aged more than 15 years amounted to INR 566.7 billion (USD 8.7 billion). This amounted to INR 705 per adult non-smoker. The SHS attributable costs were higher among the youngest age group 20 to 24, and women bear 71% of the direct medical costs attributable to SHS.Conclusions: The annual direct economic costs of SHS amount to approximately 0.33% of India's Gross Domestic Product (GDP), or 8.1% of total healthcare expenditures in India. It is also much larger than the total excise tax revenue from cigarettes and bidis. As bidi smoking is the most popular form of smoking in India and bidis are mostly consumed by the poor, a disproportionate burden of SHS is likely borne by poor households in India.Implications: In India, 38.7% of adults are exposed to SHS at home and 30.2% at work. However, there is no estimate of the economic burden of any kind from SHS exposure in India. This study used a prevalence-based attributable risk approach combined with a PSM technique to estimate excess healthcare utilization for SHS exposed non-smokers and the annual direct economic costs of SHS in India. Annual direct SHS-attributable costs in India is INR 566.7 billion (USD 8.7 billion) SHS costs constituted 0.33% of GDP and 8.1% of healthcare expenditures in India. [ABSTRACT FROM AUTHOR]

Amendments to the constitution and the jurisprudence surrounding the constituent power of Parliament have traditionally dominated the field of Indian constitutional law and constitutionalism. Most debates in this field have been restricted to issues like the source of the amending power of Parliament, express, and implied limits on the power to amend, and so on. In an attempt to revert to the core principles of constituent power, this paper attempts to answer more basic but extremely compelling constitutional questions: to qualify as an amendment to the constitution, how exactly must an amendment affect the text of the constitution? If an amendment does not change the bare text of the constitution in any way, but merely affects the overall constitutional scheme, can it still be accorded the status of a constitutional amendment? Locating this issue in the extension of the compensation period under the GST regime in India, this paper seeks to provide an answer to these questions by using a practical setting. First, the source of parliamentary competence to bring about such an amendment is traced. By the use of constitutional theory and principles of statutory interpretation, is then demonstrated that such 'non-amending' provisions are undoubtedly an inherent part of the constitutional regime. Lastly, this paper proposes a model that covers both legislative powers of Parliament, that is, constituent power and ordinary law-making power. In the nature of a walk-through, this model explains the legislative process to be followed to bring about an extension of the compensation period. [ABSTRACT FROM AUTHOR]

Under Hindu law, while anciently an illegitimate child was not an alien to his kin as under Common law, the position under the codified Hindu law stood altered, likely as a consequence of the English influence during the colonization of India. This paper, critiquing the treatment of illegitimate children under Hindu law traces the historical link between legitimacy and marriage, and its legal and sociological basis. This link has been perpetrated across societies, over time, and through legal and moral media, and has also been justified by sociologists as a means to preserve the society, by preserving its fundamental constituent – a normative family. The Indian State machinery (courts, the government and the legislature) too suffers from an anxiety to protect the normative family (barring notable exceptions), and has been dismissive of any alternative, notwithstanding that the rights of illegitimate children is the collateral damage. Regardless, today this distinction contravenes the constitutional safeguards in India. More importantly, with the acceptance of novel reproductive techniques (such as artificial insemination), and familial setups (same-sex relationships), the sociological basis for the preservation of this distinction has become irrelevant. Accordingly, this paper argues for this distinction to be removed from the statutes, which would benefit all the three stakeholders relevant to the illegitimacy equation, namely, the unwed father, the mother, and the child. [ABSTRACT FROM AUTHOR]

Crowd control by police has been generally studied in the context of violence involving protestors and demonstrators. However, nonviolent crowds also pose equal challenges for the police. Major sporting events, musical festivals, religious and political celebrations attract large crowds that need sensitive policing. Nevertheless, policing tactics for the two situations are generally similar. Research on public order policing has relevance and lessons for policing of large non-violent crowds too. This paper presents a case study of police management of Ujjain Kumbh Mela, which attracts millions at one place for a religious ritual. We analyze characteristics of the crowd and strategies adopted by the police based upon extensive field data of the recent event of 2016. This study suggests that the Indian police, unaware of the research on public order policing followed many of the lessons reported in public order policing in western societies. We contend that experience and practice counts, but by institutionalizing research as part of its organization the Indian police could enhance it capabilities to handle serious challenges that confront it on a daily basis. Lessons for handling non-violent crowds in democratic societies are also drawn. [ABSTRACT FROM AUTHOR]

Using an unexpected government regulation that restricted the ability of microfinance institutions to recover loans in one Indian state, I examine whether this intervention affected bank loan performance. The bank loan delinquency rate significantly increased as a result. In response, the ex post bank credit supply declined by more than half. For identification, I compare loans from branches located in regions subject to this intervention with loans from nearby branches of the same bank located in regions not subject to the intervention. I conclude that political interventions in credit markets could have significant spillover effects. Received October 29, 2016; editorial decision November 28, 2017 by Editor Philip Strahan. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

In recent years, community health governance structures have been established in many low and middle-income countries (LMICs) as part of decentralization policies aimed at strengthening primary healthcare systems. So far, most studies on these local structures either focus on measuring their impact on health outcome or on identifying the factors that affect their performance. In this paper we offer an alternative contribution that draws on a sociological interpretation of community health governance to improve understanding of how the government's policy vision and instrumentation translate to interactions that take place within local spaces at field level. We study 13 Village Health Sanitation and Nutrition Committees (VHSNCs) in Karnataka, India, from 2016 to 2018 focusing on sanitation, nutrition and hygiene which remain impediments to improving primary healthcare amongst poor and marginalized communities. Three local governance mechanisms of horizontal coordination, demand for accountability and self-help help to explain improvements that have taken place at village level and contribute to the creation of a new theory of community health governance as evolving phenomenon that requires a constant process of learning from the field to strengthen policymaking. [ABSTRACT FROM AUTHOR]

Results of the preliminary measurements of indoor radon, thoron and progeny concentrations showed very high values of thoron concentrations in the eastern coastal region of Odisha, India. Therefore, measurements of thoron and its progeny concentrations were extended to a larger number of houses in this area for the assessment of the radiation dose received by the public. The measured values of thoron concentrations were used for the calculation of annual effective doses. The estimated values of the annual effective dose due to thoron exposure were observed in the range of 0.2–14.7 mSv. The estimated radiation doses responsible for thoron exposure were observed considerably high in the region. The results obtained are compared with those obtained in other studies performed so far in the study area and a review of different studies involving different measurement techniques is presented in the paper. The results of this study support the preliminary studies showing high values of thoron levels in the study area. [ABSTRACT FROM AUTHOR]

In this paper, we intend to evaluate the rate of radon and thoron exhalation from soil with reference to the underlying bedrock and gamma dose rate in the environment of elevated granitic hill—Nandi hills of Karnataka. The measurement of exhalation rates for all the soil samples collected from study area was carried out using a continuous radon–thoron monitor (Smart RnDuo monitor). The surface exhalation rate of thoron from soil samples were found to vary from 4160 ± 326 to 21 822 ± 634 mBq m−2 s−1. The mass exhalation rate of radon from soil samples were found to vary from 76 ± 6 to 269 ± 19 mBq kg−1 h−1. Concentrations of radon activity measurements were carried out for all the groundwater samples from study area. A detailed analysis along with physicochemical parameters of water has been made and discussed in this research paper. [ABSTRACT FROM AUTHOR]

Foldscope Instruments, Inc. creates and distributes low-cost, high-quality scientific tools to communities around the world to help advance education, research, and medical diagnostics. The Foldscope—a high-quality microscope created for less than a dollar in parts—was created in 2015. To date, the Foldscope has reached 1.6 million people worldwide in over 160 countries. A few notable uses for the Foldscope include identification of microscopic eggs of agricultural pests in India, creation of a catalog of the biodiversity of soil arthropods in the Amazon, detection of fake currency and medicine, following toxic blooms, detection of bacteria in water samples, and mapping of pollen diversity in a city landscape. [ABSTRACT FROM AUTHOR]

Background The number of patients with visual impairment and blindness from glaucoma is rapidly increasing with wide-ranging impacts for individuals and societies. However, the disease often goes undiagnosed for a long time, especially in low- and middle-income countries where healthcare services are limited. This paper presents the results of a pilot programme, which integrated targeted glaucoma screenings of people aged ≥40 y in community-based eye care services in the Ganjam district of Odisha state, India. Methods Using routine programme data, descriptive statistics were produced for the characteristics of patients participating in the screening programme and the rate and uptake of glaucoma referrals. Bivariate analysis was used to examine associations between patient characteristics, clinical risk factors and glaucoma diagnosis. Results Out of 23 356 individuals aged ≥40 y screened for glaucoma over a period of 18 mo, 2219 (9.5%) were referred and 2031 presented for further examination. Among them, almost half (n=968, 48%) were diagnosed with glaucoma, representing a screening to diagnosis conversion rate of 4.14% (95% CI 3.9 to 4.4%). A positive diagnosis of glaucoma among suspects was associated with female sex, age >60 y, visual impairment, vertical cap-to-disc ratio ≥0.6:1, intraocular pressure ≥30 mmHg and shallow anterior chamber (p<0.001). Conclusions The importance of targeted screening for glaucoma using simple referral criteria to identify patients at high risk of vision loss who can benefit from treatment is critical to slow the progression of the disease and the prevention of blindness. Further studies assessing costs of the targeted screening, the role of technology in improving programme effectiveness and efficiency and the longer term compliance with treatment are needed to support glaucoma policy frameworks, guidelines and clinical practice. [ABSTRACT FROM AUTHOR]