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The article discusses the determination of the pesticides, hexachlorocyclohexane and dichlorodiphenyltrichloroethane in finger-prick whole blood dried on filter paper and how it helps in monitoring concentrations in blood. Despite, being banned in other countries, India is still using such pesticides in controlling agricultural diseases. Yet, due to their chemical characteristics, they are the major cause of environmental pollution. With this, they even have found a place in the food chain and worse into the human system which are then stored in body fat after the metabolism. In the experiment, they used whole blood under tropical field conditions and had found that most of the people who are directly involved in spraying were positive of the pesticides.

The debate over the Uniform Civil Code (UCC) is mired in the conflict between the right to freedom of religion and the right to gender-based equality. The retraction of the UCC also hinges on legal pluralism. This paper argues for shifting the foci of the debate towards gender-based violence as rightly suggested by the feminist argument in India. In order to do so, this paper argues that the debate over the UCC needs to be restructured around the Due Diligence Obligation (DDO) to the Convention on the Elimination of all forms of Discrimination Against Women (CEDAW). This paper presents the argument that the absence of a UCC creates a normative vacuum that is currently filled by an intersubjective climate on patriarchy which primes the average Indian mindset. This intersubjective mindset requires to be replaced by the normative language of the DDO to the CEDAW. This process of norm effectuation also ties into the question of how international norms are implemented in domestic contexts and reiterates the causal chain propounded therein. [ABSTRACT FROM AUTHOR]

India has a large number of paper manufacturing units, with mills varying in size of operations and type of product, scattered all over the length and breadth of the country. Present study deals with the survey of four different pulp and paper mills (Mill A, Mill B, Mill C and Mill D) in India, differing in their scale of operation as well as raw material usage. Physico-chemical characterization of wastewaters produced by different processing units like digestor house liquors, bleaching section, paper machine backwaters, combined inlet to the ETP and outlet to ETP, for all the four mills, was conducted. Different parameters like pH, Color, COD, BOD, percent Na, SAR, TDS and Total hardness were analyzed and compared. Highly significant differences were thus found between all the processing units of all four mills with p values < 0.01. This evaluation showed that though these mills have effluent treatment facilities installed in their premises, improvements are still needed to increase their efficiencies for treating the discharged wastewaters. [ABSTRACT FROM AUTHOR]

This paper seeks to design the least-cost delivery routes relating to the distribution of geotowns through the shortest distance matrix estimated by the multiple traveling salesman problems. We construct the initial distance matrix based on road distance considering all the nodes. Based on the adjacency matrix, we use the R package "sna" to calculate the different measures of centrality in the network. Next, we apply the traveling salesman problem to connect all the nodes at once for planning the trip in the proposed circuit. Finally, we use the Louvain community detection algorithm to cluster geotowns for better tourism planning and ease of travel. Based on the proposed geoheritage sites in Northeast India, the tourist spots may be organized and interconnected. This paper promotes and develops an approach to incorporating national geosites with national geoheritages and moves towards geoparks, keeping in view conservation measures of appropriate international impartial organizations. [ABSTRACT FROM AUTHOR]

China, India, and the USA are the countries with the highest energy consumption and CO2 emissions globally. As per the report of datacommons.org, CO2 emission in India is 1.80 metric tons per capita, which is harmful to living beings, so this paper presents India's detrimental CO2 emission effect with the prediction of CO2 emission for the next 10 years based on univariate time-series data from 1980 to 2019. We have used three statistical models; autoregressive-integrated moving average (ARIMA) model, seasonal autoregressive-integrated moving average with exogenous factors (SARIMAX) model, and the Holt-Winters model, two machine learning models, i.e., linear regression and random forest model and a deep learning-based long short-term memory (LSTM) model. This paper brings together a variety of models and allows us to work on data prediction. The performance analysis shows that LSTM, SARIMAX, and Holt-Winters are the three most accurate models among the six models based on nine performance metrics. Results conclude that LSTM is the best model for CO2 emission prediction with the 3.101% MAPE value, 60.635 RMSE value, 28.898 MedAE value, and along with other performance metrics. A comparative study also concludes the same. Therefore, the deep learning-based LSTM model is suggested as one of the most appropriate models for CO2 emission prediction. [ABSTRACT FROM AUTHOR]

Mathematics education in India is offered in one of the 22 officially recognized state languages or in English even though there are at least 270 languages with more than 10,000 speakers each. Caste, a deep-rooted structure that stratifies Indian society, is integrally linked to shaping state languages. There is minimal research from India that looks at language and mathematics education and practically none that factors in caste. Focusing on Tamil Nadu, a state with a history of anti-caste movement on the one hand and pure Tamil movement (a movement that sought to create a Tamil language with no words from other languages) on the other, this conceptual paper seeks to explore this dimension. More specifically, by using caste as an analytical framework, and by drawing on examples from the mathematics textbooks published by the Tamil Nadu State Board of Education and the experience of a few teachers and learners, the paper seeks to make a theoretical argument that the use of pure Tamil in mathematics textbooks has negative implication for socio-culturally and economically marginalized students who are solely dependent on textbooks as the only source for learning mathematics. There is a strong need for carrying out empirical work that would highlight the nuances and complexities involved in realizing 'mother tongue' education in mathematics, particularly for those who belong to marginalized caste-class backgrounds, and we hope that such work would emerge in the future. [ABSTRACT FROM AUTHOR]

COVID-19 has laid an impact on every sector of the world. Howsoever severe, vaccines have acted as the sole source of a protective guard to prevent the further spread of the COVID-19 pandemic. In this research, the authors broadly focus on the trends in the vaccination drive of India. The paper revolves around a prediction and evaluation approach, which depending on the past and the current trends of daily vaccinations, obtain comparable results using a self-built recurrent neural network of LSTM layers for this study on time series evaluation. Through the neural network, the study predicts the exact vaccination figures likely to be achieved 1 year after vaccine introduction in the Indian subcontinent. The gathered data from January 16, 2021, until September 30, 2021, follow effective visualization of how the model outputs resemble the vaccination numbers for October 2021 and the predictions until January 16, 2022. Finally, the paper follows an extensive data analysis keeping in mind, the analogy of the number of COVID-19 cases and deaths before and after the vaccination system was centralized, to prove how sustainable the framework has been so far. [ABSTRACT FROM AUTHOR]

This research paper delves into the intricate domain of policy science, focusing on the policy-making process itself. Existing theoretical frameworks in policy science often overlook essential nuances, particularly the role of political willingness causing non-linearity in the policy-making process. Three fundamental questions drive the research at hand. First, the research delves into the adequacy of existing policy frameworks in effectively elucidating the complexities of policymaking in the context of large democracies, with a particular focus on India. Second, it investigates the significant role of political willingness in shaping the trajectory of policymaking, particularly within democratic systems. Lastly, the research aims to construct a comprehensive framework capable of accommodating and explaining the non-linear dynamics introduced by the influence of political willingness throughout the policy-making process. Through an analysis of India's Data Protection Regulation formulation process, this paper attempts to map the existing gap and way forward. As an outcome of the case study analysis, the proposed framework introduces political willingness as a central element extending the policy formulation cycle and showcases its influence on agenda setting, policy formulation, adoption, implementation, and evaluation. This research contributes to the field of policy science by providing a comprehensive framework that accounts for the complexities of policymaking, especially in the Indian context. By acknowledging the pivotal role of political willingness, this framework seeks to bridge the gap in existing theoretical models, offering a more holistic understanding of policy formulation and analysis. This research lays the foundation for a paradigm shift in the study of policy science, addressing the challenges posed by evolving governance mechanisms and the rising influence of political agendas in the modern world. [ABSTRACT FROM AUTHOR]

Blasting constitutes an essential component of the mining and construction industries. However, the associated nuisances, particularly blast vibration, have emerged as significant concerns that pose threats to operational stability and the safety of the surrounding areas. Given the increasing emphasis on sustainability, ecological responsibility, safety, and geo-environmental practices, the impact of blast vibration has garnered heightened attention and scrutiny. Nevertheless, the field still lacks comprehensive phase analysis studies. Therefore, it is imperative to elucidate the research progress on blast vibration and discern its current frontiers of investigation. To address this need, this study employs bibliometric methods and the CiteSpace 6.1.R2 software to analyze 3093 papers from the Web of Science database. Through this comprehensive analysis, the study aims to chronicle the developmental trajectory, assess the present research status, and identify future trends in the field of blast vibration. The findings of this study reveal that research on "blasting vibration" is advancing rapidly, with the number of citations exhibiting a J-shaped growth curve over time. China emerges as the leading contributor to this research, followed by India, and the foremost institution in this field is Central South University in China. Cluster analysis identifies the effects of ground vibration, numerical simulation, blast load, blasting vibration and rockburst hazard as the most prominent research areas presently. The primary research directions in this domain revolve around the rock fragmentation, compressive strength, particle swarm optimization, and ann. The emergence of these keywords underscores a dynamic shift towards a more holistic and multidisciplinary approach in the field of blasting-induced ground vibration. Furthermore, this study provides a concise overview of blast vibration, discusses prediction techniques, and proposes measures for its control. Additionally, the discussion delves into the social significance of intelligent blasting systems within the context of artificial intelligence, aiming to address the hazards associated with blast-induced ground vibrations. [ABSTRACT FROM AUTHOR]

Medical anthropologists have not paid enough attention to the variation at the level of the individual practitioners of biomedicine, and anthropological critiques of biomedical psychiatry as it is practiced in settings outside the Global North have tended to depict psychiatrists in monolithic terms. In this article, we attempt to demonstrate that, at least in the case of India, some psychiatrists perceive limitations in the biomedical model and the cultural assumptions behind biomedical practices and ideologies. This paper focuses on three practitioners who supplement their own practices with local and alternative healing modalities derived from South Asian psychologies, philosophies, systems of medicine and religious and ritual practices. The diverging psychiatric practices in this paper represent a rough continuum. They range from a bold and confident psychiatrist who uses various techniques including ritual healing to another who yearns to incorporate more Indian philosophy and psychology in psychiatric practice and encourages students of ayurvedic medicine to more fully embrace the science they are learning to a less proactive psychiatrist who does not describe a desire to change his practice but who is respectful and accepting of ayurvedic treatments that some patients also undergo. Rather than simply applying a hegemonic biomedical psychiatry, these psychiatrists offer the possibility of a more locally-attuned, context sensitive psychiatric practice. [ABSTRACT FROM AUTHOR]

A smart home energy management system plays an important role in improving the efficiency of an energy distribution system and also helps to reduce the carbon footprint of the power utility company. For a developing country like India, one of the main challenges faced while integrating an energy management system and renewable energy technology is the migration cost faced by the user from the existing system. The existing energy policy of the nation or the community should be reformed in such a way that the user who is willing to adapt to an energy management system should be properly rewarded. Smart appliances and IoT-enabled devices reduce wiring complexity in any conventional home and the smart metering facility aids in the bidirectional communication between consumers and utility companies. But how does it take care of user privacy? What are the reasons behind the user's negligence on-demand response schemes in India? Through a case study, it was observed that the power consumption of domestic consumers in India increased over the years. It was also observed through an energy survey of 200 low-tension domestic consumers that a simple reengineering of lighting loads can save up to 4.68 Megawatt-hour of energy in a year. The paper also identified the negative impact of the inclining block rate billing scheme by comparing the bimonthly energy consumption pattern of consumers and also proposed a new billing scheme. The paper also reviews the types of optimization methods available for load scheduling. This paper is an attempt to enlighten readers on the importance of adopting a sustainable home energy management system, as a socio-economic commitment towards a green future. Highlights: The connected loads in Indian homes are increasing day by day and so the electricity bill A smart green HEM system helps to reduce the carbon footprint Novel demand response programs policies should be formulated Harvesting renewable energy will have multiple applications in a home Dimming lighting loads considerably reduces usage cost [ABSTRACT FROM AUTHOR]

Pines play a significant role in forest biodiversity globally and generate huge forest litter. Dry pine needles due to low ignition temperature and high frictional force with the ground catch fire quickly. Annual forest fires in the northern states of India greatly impact the Indian economy besides causing huge loss to biodiversity, livelihood, and environment. Pine needles are also considered unfit for fodder consumption due to presence of tannins. Although the presence of softwood lignin in pine needles makes it difficult to degrade easily, the presence of holocellulose (68.5%) containing 45–51% cellulose makes this biomass a potential substrate to be used in pulp-making industries for low-grade paper sheets. The good fiber length of pine needles (1.3–1.4 mm) with a diameter of 30–32 μm, maybe considered important property for paper making. The use of pine needles in the pharmaceutical and food industries are due to the presence of secondary metabolites (α-pinene, β-pinene, caryophyllene etc.). The various other potential applications of pine needles are for producing bio-ethanol (yield, 3.98%; purity, 94%), biogas (yield, 23.1 L kg−1), smokeless briquettes (calorific value, 18.77 MJ kg−1), biochar (calorific value, 25.6 MJ kg−1), bio-composites (tensile strength, 21–60 MPa), and bio-pesticides. This paper comprehensively reviews the current applications of pine needles along with its future prospective applications that can have the dual advantage of providing employment opportunities to the people along with environmental protection. [ABSTRACT FROM AUTHOR]

The lie-detection tests are traditionally carried out by well-trained experts using polygraph machines. However, it is time-consuming, invasive, and, overall, a cumbersome process, not admissible by the court of law. Trained individuals can easily flaunt these tests. On the other hand, facial thermal imaging could be more effective as it is noninvasive and could be a stealth method of tracking the facial blood flow patterns, which have been proven to detect deceit. This paper presents a method based on facial thermal imaging to detect deception in human subjects. The major issue in such research is the lack of proper real-life databases which emulate the crime scenes. In this paper, first, we have developed a database based on almost real-life theft incidents with due diligence using isolated subjects over a period of time at a government hospital under the plea of free health checkup. The experiment has been conducted at Midnapore Medical College and Hospital, West Bengal, India, with proper ethical committee approval. The participants are selected at the behest of the police department with habitual crime records. Most of them have been repeatedly charged with petty crimes of pick-pocketing and stealing. They are invited individually at different instances of time under the plea of medical checkup where they have been enticed to steal cash. It is followed by a two-stage process, a friendly interaction followed by a slightly tougher interrogation. Their forehead and periorbital region skin surface temperature are recorded by a hidden thermal camera. Upon analysis, conspicuous changes in the temperature profile and blood flow pattern have been observed in the individuals who stole money and those who did not. [ABSTRACT FROM AUTHOR]

The paper aimed to investigate the cyclical dynamics of the business, credit, and investment sectors in India. This was achieved by utilizing annual data from 1980 to 2021 and investigating the impact of domestic and global financial cycles on the business cycle. The cycles were derived using the Hodrick–Prescott filter, and structural vector autoregression (SVAR) and Granger causality tests were employed to establish the dynamic interactions among these cycles. The results of the study revealed a clear divergence between domestic and global financial cycles. Additionally, the SVAR analysis confirmed the presence of a long-run relationship between business, investment, and credit cycles. Notably, the findings suggest that credit cycles can provide valuable insights to manage business cycles in India. Finally, robustness checks were conducted to confirm the reliability of SVAR findings. [ABSTRACT FROM AUTHOR]

Introduction: The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine, analyzing the context, frequency, and reasons behind these conversations. Methods: The study collected data from the Web of Science database on articles containing the keyword "ChatGPT" published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria were peer-reviewed articles in English related to medicine. Results: The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as "patient" (16.7%), "research" (12%), and "performance" (10.6%) were prevalent. The Cureus Journal of Medical Science (11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the highest number of publications (29.3%), with significant growth between February to March and April to May. Medical General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%). Discussion: The prominence of India in ChatGPT research, despite lower research funding, indicates the platform's popularity and highlights the importance of monitoring its use for potential medical misinformation. China's interest in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on the platform. Cureus' success in publishing ChatGPT articles can be attributed to its open-access, rapid publication model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice. Conclusion: ChatGPT's presence in medical literature is growing rapidly across various specialties, but concerns related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may face retraction as more information emerges. [ABSTRACT FROM AUTHOR]

In this paper based on original fieldwork, I seek to contribute to critical scholarship in international law by providing an investigation into the engagement with international law by actors in civil society working against son preference primarily in Tirupati, India. I suggest that the turn to the international legal order by civic actors should be theorized as something else than as merely coming 'from above', 'from below' or as a 'translation' of 'global' law to 'local' conditions. Instead, I propose that the mobilization of international law within Tirupati's civil society should be seen as an emancipatory undertaking, an act of resistance with the overarching ambition to reclaim the zenana. In that, I argue, the strategies within Tirupati's civil society are more appropriately understood as critical international law put into practice. [ABSTRACT FROM AUTHOR]

With liberalization of air travel services and the advent of low cost airlines, the Indian Civil Aviation Sector is in for a major overhaul over the next few years. As identified by the Naresh Chandra Committee, the current state of Indian airports is inadequate to handle the resulting increase in air traffic. This paper starts with a brief on the rationale for airport privatization and international experience with it, with a focus on developing countries. Gaps between Indian and international airports in some operating and financial metrics (like Non aeronautical revenue per passenger, passenger per employee etc) are used to identify possible areas for improvement in Indian airports. Finally, current modes of airport infrastructure provision in India are summarized. [ABSTRACT FROM AUTHOR]

The International Journal of Tropical Insect Science (Int J Trop Insect Sci) is a peer-reviewed journal established in 1980 to promote insect science mainly in the tropics. This study aimed to provide a Bibliometric overview of Int J Trop Insect Sci publications and citations between 2012 and 2020, ending September 2020. A sample of 488 documents extracted from the Web of Science (WoS) was analysed using widely used bioclimatic indicators. The articles were written by 1726 authors. During this period, the most productive authors comprised S Roy, followed by S Ekesi, S Subramanian and M Tamo. The dominant keyword was 'resistance', followed by 'Homoptera'. India took a leading position in Single Country Publications (SCP) while Kenya took the lead in Multiple Country Publications (MCP). Bibliometric analysis reveals vibrant collaboration between African and Western countries and active publication of multi-country authored articles. We conclude that there is an increasing trend for collaboration among different countries on the general topic of insect science. Research in insect science has the potential to impact both academic researchers and practitioners the knowledge use chain. This study will help researchers, journal editors, science policy makers managers, and others working in the biodiversity space and potential research gaps needing for further studies. [ABSTRACT FROM AUTHOR]

This study attempts to determine the impact of industries such as paper mills and ferro-alloy units and mining of Mn ore deposits on soil and river geochemistry in a monsoon-dominated area on the southwest coast of India. Soils, suspended particulate matter (SPM), andbottom sediments from the Kali River are all enriched with Al, Fe, Ni and Co, but strongly depleted in Na, Ca, K, Mg, Rb and Sr due to intense chemical weathering. However, even in river water the concentrations of dissolved alkaline and alkaline earth elements are low. Manganese, in particular, is anomalously high in bottom sediments and suspended particles by factors of 2.3 to 20.76 in relation to average shale and world river SPM. This enrichment is attributable to mining of Mn ore deposits in the riverdrainage area. The concentration of dissolved Pb, Co and Cd in Kali River water is much higher (by factors of 2 to 13) in comparison to the world's major rivers, implying anthropogenic inputs of these metals through localized discharge of sewage and industrial effluents. Assessment of heavy metal pollution determined by the element enrichment factor (EF) and the index of geo-accumulation (Igeo) suggests that most of the hazardous heavy metals studied are within the background level. However, Al, Fe, Co andNi are enriched due to their immobility during chemical weathering and their adsorption subsequently by Al and Fe oxides. These studies show that, although there are major industries in the study area, their impact is not yet visible due to the large input of pristine sediments from the catchment. [ABSTRACT FROM AUTHOR]

This paper focuses on the spatiality of cricket played over public grounds. The paper uses the concepts of space, place and sportscape (Appadurai in Playing the modernity: The decolonisation of Indian Cricket, University of Minnesota Press, 1995) to derive meanings of the way the game is played and experienced. The study is organised under three scales conceptualised as landscape, territory and anthropocentric levels which are interlinked to each other. Drawing insights from the geography of sports literature, the paper extends the boundaries of knowledge about cricket beyond historical and sociological studies of the sport. A combination of methods, namely, ethnographic observations, interviews and focused group discussions were employed to deduce the spatial connection of cricket to urban spaces in India. For this purpose, Nirankari Grounds in North Delhi has been selected as the study area. The location of Nirankari Grounds at the crossroads of a densely populated residential area and the University of Delhi makes it an important site for the study. The paper contributes to the study of geography by expanding the geographical understanding of the sport. At the same time, it attempts to fill in the gaps in literature in domain of sports geography by analysing spatial aspects of sports when the game is in play. [ABSTRACT FROM AUTHOR]

The paper defines a new model for Takri touching text segmentation (T3S), which uses simpler statistical operations to locate exact segmentation column and generate faster results. An analysis of existing Indian scripts touching text segmentation techniques is also provided in the paper. The analysis inferred higher accuracies with recognition-based approaches which are computationally and time extensive and, work better with huge datasets. Also, most of these have been developed for headline Indian scripts only. The proposed T3S model provides significant segmentation accuracy using a statistical approach thus, generating faster results. Also, it works well with small datasets, which is feasible with the diverse ancient low-resource scripts of India like Takri. The model has been implemented on Takri text, a class of non-headline Indian regional scripts. Thus, it provides a benchmark algorithm for conducting further research in the field. A dataset of 1465 touching consonant pairs in printed Takri script is prepared using connected component segmentation for segmenting Takri text from the manually collected archival data in printed Takri script. The T3S technique is implemented on the dataset prepared and the results are critically analyzed with the existing Indian scripts touching text segmentation approaches, based on the accuracy achieved. [ABSTRACT FROM AUTHOR]

This paper deploys the containment principle by Della Croce and Nicole-Berva (2021) to adjudicate COVID-19 non-conformity in India. The paper argues that the containment principle offers a guide to evaluating pandemic legislation and outlines the duties of the state. It then evaluates the Indian Pandemic response and legislation against the containment principles and finds it arbitrary, arguing that the discretionary power vested in the state enables it to treat two instances of COVID-19 non-conformities, the Tablighi Jamaat and the Kumbh, differently. The non-conformity of the devotees and the deviance of the state can be read within a framework of exceptionalism, collective irrationality, and conspiracy theories that firstly enables the devotees to maintain a sense of invulnerability, and secondly, allows the state to blame the minority community for threatening its exceptional status. These acts of non-conformities constitute disobedience against containment principles that are unjustifiable and demonstrate a moral failure to not harm others and a failure of the state to equally distribute benefits and burdens of pandemic policies. [ABSTRACT FROM AUTHOR]

This paper examines the intersection of regional geopolitics and the governance of transboundary rivers using the case studies of multipurpose reservoirs in Himalayan South Asia. It uncovers the various ways Indian hydrocracy uses its institutional and technical expertise to strengthen India's centrality in Nepal's water and hydropower sectors. The practices of security undertaken by the hydrocrats are classified as structural, institutional, and statutory acts. By focusing on practices of an epistemic community like hydrocrats, this paper addresses longstanding weaknesses of the securitisation theory of being elitist and ignoring the agency of mid-level bureaucrats. It also highlights the constructivist nature of international politics. The findings contribute empirically to securitisation theory's 'Paris School' of thought. [ABSTRACT FROM AUTHOR]

Burden of Influenza is significantly higher in developing countries as compared to developed countries, but the data on the disease burden is less well defined in most of the developing countries including India, and consequently, constraints evolving strategies for prioritization of measures to prevent and control it. The 'swine flu' or 'A(H1N1)' pandemic is on the wane but the virus continues to circulate causing sporadic outbreaks even in 2013. The A(H1N1)pdm09 has replaced the previous circulating seasonal A (H1N1) virus and acquired the status of a seasonal virus. Limited influenza activity is usually seen throughout the year in India with a clear peaking during the rainy season. The rainy season in the country lasts from June to August in all the regions except Tamil Nadu where it occurs from October to December. IAP recommends the ideal time for offering influenza vaccines is just before the onset of rainy season. The efficacy/effectiveness data of trivalent inactivated influenza vaccines are also presented in different age groups and different categories of individuals. The IAP maintains its earlier recommendations of using the current trivalent inactivated influenza vaccine in all children with risk factors but not as a universal measure. IAP has now prioritized different target groups for influenza vaccination based on contribution of the group to the overall influenza burden, disease severity, and vaccine effectiveness in different age groups and categories. The current trivalent inactivated influenza vaccines incorporate the 2009 pandemic strain also, hence avert the need of a separate 'A (H1N1)' vaccine. IAP stresses the need of more refined surveillance; large scale studies on effectiveness of seasonal influenza vaccines in Indian children, and more effective, properly matched, highervalent influenza vaccines. [ABSTRACT FROM AUTHOR]

Mining is an important enterprise that will supply essential minerals for the country's infrastructural development. Mining is a key industry and a development engine in the Indian economy. The epidemic has had both immediate and long-term effects on the labour and industries in India. Short-term effects include the cessation of mineral production, salary loss due to absenteeism and pandemic limitations, unemployment, and the selling of minerals on the market. The reputation and economic health of industries, fresh mineral deposit exploration, and new mining complex development have all been impacted in long-term. Aside from the mining industry-specific impact of COVID-19, the social fabric of the mining workers has been impacted since they are living in an environment of fear and uncertainty. This paper attempts to analyse the effect of COVID-19 on extractive industries in India. It also focuses the steps which taken by the Indian government. The paper concluded with the negative effect of COVID-19 which disrupts the mining sector and the contribution declined during COVID-19. However, for instance from mineral rich-Odisha, the mining sector takes up by its growth in post COVID-19 period with remarkable increment from negative growth to high positive rate. [ABSTRACT FROM AUTHOR]

Socioeconomic situations in young people's families and communities make them more vulnerable to suicidal ideations. The Youth Helpline has made a significant difference in youth's lives and livelihoods by addressing their social and economic needs with positive mental health support. The quantitative and qualitative data validate the micro- and macro-level impact of the Youth Helpline in Puducherry. However, the multi-stakeholder model faces challenges in ensuring accountability, particularly from government partners. This paper highlights how direct intervention on the socio-economic determinants of youth suicidal ideation has positively affected youth mental health and reduced suicidal ideation in Puducherry. Social identity-based inequalities and access and affordability to mental health services are the major contributors to youth mental health problems. This paper critically discusses the Youth Helpline's multi-stakeholder process and youth-led approach to addressing socio-economic determinants, as well as the Helpline's impact on youth mental health. [ABSTRACT FROM AUTHOR]

In this paper, I examine how an organization narratively constructs its prototypical disabled employee. Data comprise public narratives of the Government of India, the country's largest employer of disabled persons. Narratives during 2008–2016 were considered as this timespan witnessed the design of inclusive legislation that emphasized defining disabled persons and their entitlements. Findings indicate that the label of "disadvantage" was consistently used to portray the target employee. Alongside other narrative material suggesting, for example that the target employee was someone who required employment assistance, this label was supplied to external audiences to convert them into potential partners. This supply of narrative material further reinforced the portrayal of the target employee. Consistent use of this expansive label subsumed changing definitions of who is a disabled person, allowed for aggregations with diverse disadvantaged collectives, and accommodated changes in employment entitlements and ecosystem partners, thereby allowing the reading of change in stable narratives. The contributions of this paper lie in highlighting how the consistent use of an expansive label can cast narrative stability and change as complementary, and in suggesting that narrating a prototypical employee entails shaping the setting outside the employing organization toward employee categorization. [ABSTRACT FROM AUTHOR]

In response to the beginnings of the COVID-19 pandemic, India's government instituted a severe nationwide lockdown in late March 2020. In this paper, we analyze household survey data on income from an Indian state, Punjab. We analyze the impacts of the pandemic and lockdown on total household income, as well as its components, including wages, business income and transfers. This paper innovates in this area by using Poisson Pseudo Maximum Likelihood estimation to deal with the skewed distributions of various income components, as well as quantile regressions to examine differential impacts across the income distribution. We examine the differences between rural and urban households, differential impacts on female-headed and laborer households, and the time pattern of impacts. We find that rural households experienced more persistent income declines than urban households, and their wages suffered relatively more. Households with daily laborers were most badly affected, and this was especially true at the bottom of the income distribution. [ABSTRACT FROM AUTHOR]

Summary  This paper attempts to highlight quantitatively the growth and development of world literature on thorium in terms of publication output as per Science Citation Index (1982-2004). During 1982-2004 a total of 3987 papers were published by the scientists in the field ''thorium''. The average number of publications published per year were 173. The highest number of papers 249 were published in 2001. The spurt in the literature output was reported during 1991-2004.There were 94 countries involved in the research in this field. USA is the top producing country with 1000 authorships (21.11%) followed by India with 498 authorships (10.51%). Authorship and collaboration trend was towards multi-authored papers. Intensive collaboration was found during 1990-2004.One paper ''Nuclear Instruments and Methods in Physics Research - A 406 (3) (1998) 411-426'' had 64 collaborators. There were 586 international collaborative papers. Bilateral collaboration accounted for 80.55 percent of total collaborative papers. Bhabha Atomic Research Centre (India) topped the list with 153 authorships followed by Los Alamos National Laboratory (USA) with 105 authorships.The most preferred journals by the scientists were: Journal of Radioanalytical Nuclear Chemistry with 181 papers, Radiochimica Acta with 139 papers, Journal of Radioanalytical Nuclear Chemistry -Articles with 127 papers, Geochimica Cosmochimica Acta with 96 papers, Health Physics with 91 papers, Applied Radiation and Isotopes with 88 papers, Journal of Alloys and Compounds with 65 papers, Earth and Planetary Science letters with 59 papers and Chemical Geology, Indian Journal of Chemistry -A, Radiation Protection Dosimetry with 55 papers each. English was the most predominant language used by the scientists for communication. The high frequency keywords were: Thorium (500), Uranium (284), Separation (94), Thorium Isotopes (90), Thorium (IV) (86), Seawater (73), Solvent Extraction (70), and Rare Earth Elements (68). [ABSTRACT FROM AUTHOR]

This paper attempts to capture the missing 'distance' puzzle in the globalization process driven by trade flows. It is widely recognized that the growing global economic integration process play a major role in the spatial restructuring of many countries at varying geographical scales. The paper illustrates a model of international trade flows that builds upon existing research on the geographies of global trade. Empirical results of the current study indicate that the basic and augmented gravity model provides a useful framework for understanding international trade. The evidence of map pattern in residuals across temporal scale is noted. The results further indicate the importance of distance in the Indian context. An identification of the patterns and determinants of India's international trade with 87 countries suggests that potentially important differences in regional demands and country specific factors may impact the trade interaction over the years. [ABSTRACT FROM AUTHOR]

This paper proposes to observe a day's break as the Planet Day (While the proposed day can also be named as the Gaia Day (after James Lovelock), Planet Day seems to be simpler and easier name for better understanding by the masses and greater connect of the issues with them. Hence, here the proposed day is termed as the Planet Day) every month to allow the nature to heal and ensure sustainability of the planet in the long run. Based on the concept of sustainable degrowth, the paper carries out benefit–cost analysis of the proposed Planet Day and presents a framework based on extensive literature review, secondary data analysis and stakeholders' (Here, participants are referred to as one of the "stakeholders" in the sense that every human being who lives on this planet is accountable for the harm done to it and is impacted by ecological degradation. Hence, they are supposed to contribute to healing of the nature through appropriate initiatives both individually and collectively. In addition to the common residents, there are other stakeholders of the ecology as well such as the government, the business enterprises, and manufacturing firms, etc.) perceptions through a non-random convenience sample survey. The paper finds that the net benefit from the Planet Day amounts to be USD 9002.37 billion across the world and USD 102.48 billion for India per annum. The respondents also perceive the proposed Planet Day as ecologically and economically beneficial and thus support the idea of healing time for the planet. However, a critical challenge is to take different stakeholders on board, ensure their active participation, and design appropriate institutional mechanisms for its successful implementation. [ABSTRACT FROM AUTHOR]

Justification: Mumps, despite being a widely prevalent disease in the country, is considered as an insignificant public health problem mainly because of poor documentation of clinical cases and lack of published studies. In the absence of adequate published data on disease burden, Government of India has recently decided to introduce measles-rubella (MR) vaccine in its National Immunization Program and neglected mumps component. Process: Following an IAP ACVIP meeting on December 6 and 7, 2014, a detailed review of burden of mumps in India along with vaccination strategies to control the disease was prepared. The draft was circulated amongst the members of the committee for review and approval. Revised final draft was later approved by IAP executive board in January 2015. Objectives: To provide a review of community burden of mumps in India; and to discuss the vaccination strategies to impress upon policymakers to include mumps vaccination in National immunization program. Recommendations: A total of 14 studies and two media reports on mumps outbreak were retrieved. The outbreaks were reported from all the regions of the country. Mumps meningoencephalitis was responsible for 2.3% to 14.6% of all investigated hospitalized acute encephalitis syndrome or viral encephalitis cases in different studies. Data from Infectious Disease Surveillance (ID Surv) portal of IAP and Integrated Disease Surveillance Program (IDSP) of Government of India (GoI) were also reviewed. While a total of 1052 cases were reported by the IDSurv, IDSP had investigated 72 outbreaks with 1564 cases in 14 states during different time periods. Genotypes G (subtype G2) and C were found to be main genotypes of the mumps virus circulating in the country. Three studies studied serological status of young children and adolescents against mumps, and found susceptibility rates ranging from 32% to 80% in different age groups. Conclusions: Mumps poses a significant disease burden in India. This calls for inclusion of mumps vaccine in the National immunization program. [ABSTRACT FROM AUTHOR]

The use of multiple currency based macroprudential tools by Reserve Bank of India, India's central bank, has helped create resilience in the economy, especially during financial turmoil. However, in a democratic set-up like India, the analysis of capital based macroprudential reforms needs to incorporate the political stability, as there is increasing evidence that macroprudential policy effectiveness is closely linked to political conditions. This study incorporates the role of political stability is understanding the effectiveness of currency based macroprudential policies, by using the years of election as a proxy for political uncertainty. I develop an index of capital based macroprudential policies (CMPP) using the notifications on capital flows and risk management guidelines on foreign exchange exposures from Reserve Bank of India. Using a GARCH model, the impact of CMPP on the net capital inflows is analyzed for the period from January, 1997 to March, 2018. I find that while the presence of CMPP leads to a fall in capital flow volatility, such policies in the years of election are ineffective in curbing capital flow volatility. The paper adds to the increasing evidence coming in recent years of the link between political cycles, interest groups and macroprudential policies. [ABSTRACT FROM AUTHOR]

The paper examines the impact of macroeconomic variables on CO2 emissions, very few research studies are available to estimate the asymmetric impact and causality. Because of the significance of asymmetries, this paper examines the asymmetric impact of economic growth, crude oil use, and FDI inflows on CO2 emissions in the India wherein COP (Crude oil price) is comprised as the extra variable. The implicate aggressive growth of selected variables over the period 1990–2020 is also assessed. This study uses the methodology ARDL and NARDL model to determine the macroeconomics variable's effects on CO2 emission over the period 1990-2020. Additionally, also applied the EKC (Environmental Kuznets Curve) hypothesis with an application of ARDL and NARDL model. With help of the ARDL and NARDL model, the study shows the results that a rise in economic growth would reduce CO2 (carbon dioxide) emissions while a decrease in economic growth would raise CO2 emissions which indicates an inverted U-shaped Curved relationship between economic growth and CO2 emissions. The positive and negative shockwaves in COP (crude oil prices) have a satisfactory and substantial impact on CO2 emissions as well. Besides, the crude oil consumption with positive shockwave confirmations has a positive and substantial impact on CO2 emission. In addition, the results of FDI inflows support the pollution heaven hypothesis. In light of these outcomes, this paper also recommended policy implications and future research, the policy implications are where the descending flow of FDI allows limited space to India in FDI selection; however, the existence of emission merging and implementation of carbon pricing may facilitate India in achieving its environmental targets. [ABSTRACT FROM AUTHOR]

Self-Help Groups (SHGs), the credit based voluntary groups in India are widely known for their potential to alleviate poverty and empower women. This research article explores a lesser-known theme. It tries to analyze the possibility of utilizing the current SHG model of the Indian Government to build and strengthen resilience of the SHG members in case of an external shock like financial stress, food insecurity, dispute in home for joining SHG, and difficulty to repay loan amidst lockdown due to the COVID-19 pandemic. This article also focuses on their coping mechanisms and attitude towards these crises. By utilizing primary data collected from 320 SHG members in one of the aspirational districts in West Bengal, India, the present paper tries to fulfill its objective. It provides a comprehensive understanding of the problems faced by the SHG members by combining both quantitative and qualitative techniques. The findings reveal that from organizing vocational trainings to relaxing loan repayment, SHGs and its women members overcame various adversities with tenacity, especially during the COVID-19 pandemic. Based on the study findings, it is reasonable to conclude that the current SHG model in India presents a promising avenue for enhancing the resilience of its members in the face of external shocks. Article Highlights: Idiosyncratic stress like financial stress and systemic stress like the COVID-19 pandemic were ranked the top two crises faced by the SHG members. Recognizing financial stress and stress due to the COVID-19 pandemic as the top challenges faced by SHG members implies the need for immediate support (that includes access to financial resources, and assistance in adapting livelihood strategies to withstand external shocks), resilience-building efforts (by providing members with skills to diversify their income sources, creating emergency funds, and fostering community solidarity to collectively address crises), and policy attention (implementing policies that provide targeted assistance, such as social safety nets, healthcare access, and economic stimulus). The SHG members mostly had an active attitude towards the crises faced demonstrating their remarkable resilience and adaptive capacity. This highlights the most dominant role of SHGs in their ability to foster a sense of solidarity and collective problem-solving. Members often share experiences, skills, and resources, which can be invaluable during times of crisis. Additionally, the group dynamic encourages mutual support and encourages members to take proactive steps to address challenges rather than feeling overwhelmed by them. Moreover, participating in SHGs often empowers individuals to develop skills, build confidence, and access resources that enable them to better cope with crises. Thus, it implies the importance of community-based approaches like the SHGs to resilience-building. The primary role of SHGs in strengthening resilience among its members, particularly during challenging times like the COVID-19 pandemic was preventive measures (organizing COVID awareness programs), followed by promotional measures (organizing vocational trainings) and protective measures (distribution of food grains). By engaging in these preventive, promotional, and protective measures, SHGs bolstered the resilience of their members by equipping them with knowledge, skills, and resources to navigate challenges effectively. Overall, the implication is that SHGs have played a multifaceted role in supporting their members through the COVID-19 crisis, by focusing on prevention, promotion, and protection measures to enhance their resilience and mitigate the adverse effects of the pandemic on their well-being. [ABSTRACT FROM AUTHOR]

The Cauvery Basin is one of the prolific hydrocarbon-producing basins of southern India. The pericratonic basin has five sub-basins separated by five basement and structural highs formed by granitic and gneissic rocks of the Archaean Southern Granulite Terrane. The sub-basins have excellent Cretaceous source rocks and hydrocarbon-bearing reservoirs of different geological ages. Commercial hydrocarbons are produced from the Archean basement highs, specifically from the Kumbakonam–Madanam palaeo-highs of the Cauvery basin. The paper addresses basement characterisation using conventional as well as advanced well logs for accurate characterisation of the basement reservoirs. Basement reservoirs are challenging in terms of sporadic porosity and permeability distribution. Most of the porosities and permeability are attributed to secondary generation by fracturing and weathering. The present work aims to understand and compare the petrophysical attributes of two kinds of basement reservoirs (fractured basement and weathered basement) on the Kumbakonam–Madanam High. Two wells from each type lying on either side of the Madanam High were selected. Well log data, including gamma-ray, resistivity, porosity (neutron and bulk density), acoustic logs and advanced logs, such as resistivity images and dipole acoustic and elemental capture spectroscopy logs, from these four wells were analysed for their petrophysical understanding. Furthermore, image and acoustic log data were integrated to characterise the fracture geometry and fracture permeability of the basement reservoirs. Conventional log suites showing low GR, low resistivity, high density, and high neutron porosity are indicative of intricate lithologies, possibly mafic rocks. A notable negative crossover in density and neutron log along with excess Si concentration indicates weathering. A higher fracture density with a crisscross fracture/mesh fracture pattern is indicated by the analysis of image logs, shear wave anisotropy, and Stoneley fractures. Thus, a comparison of the petrophysical attributes of both fields is attempted to understand the fractured and weathered basement reservoirs and their geological characteristics. In conclusion, the basement reservoirs of the Madanam High Field are of interest because of their hydrocarbon-producing ability, and proper synthesis of petrophysical attributes will help develop activities in the basement reservoirs. [ABSTRACT FROM AUTHOR]

In an area like India, where a large number of people are dependent upon agriculture, soil erosion assumes the role of a silent killer. A comprehensive soil management plan requires systematic development and planning at the scale of the natural boundaries, i.e., the watersheds. These watersheds are now actively encouraged to become the planning unit for a wide range of natural resource management. Sub-basin prioritisation with respect to erosion susceptibility, therefore, has become increasingly popular in the last few decades as this helps in optimal distribution, especially in a country like India, where the availability of resources is scarce. Erosion is a complex problem wherein a large number of factors play an important role in influencing this process. Therefore, multi-criteria decision-making (MCDM) techniques are becoming more popular in this domain. However, there are a myriad of MCDM models in literature, and a proper and systematic comparison between such MCDM models may help in deciding on the best possible model in the given categories. This paper has tried to make such a comparison for morphometry-based sub-basin prioritisation in the rocky terrain of the Chaka River Basin, Eastern India. The MCDM models that have been investigated include technique for order of preference by similarity to ideal solution (TOPSIS), VlseKriterijumsk Optimizacija Kompromismo Resenje (VIKOR), multi-objective optimisation on the basis of ratio analysis (MOORA), compound factor (CF), weighted sum model (WSM), weighted product model (WPM) and weighted aggregated sum product assessment (WASPAS). These results were compared with respect to the RUSLE-based annual soil loss of the Chaka Basin with the help of the ROC curve. Results reveal that the MOORA MCDM method is the most reliable (AUC = 0.711), whereas the TOPSIS is the least authentic (AUC = 0.378). The middle domain of the Chaka Basin appears to be highly prioritised as compared to the lower domain. [ABSTRACT FROM AUTHOR]

Traditional multiple discrete–continuous (MDC) choice models impose tight linkages between consumers' discrete choice and the continuous consumption decisions due to the use of a single utility parameter driving both the decision to choose and the extent of choice. Recently, Bhat (Trans Res Part B Methodol 110:261–279, 2018) proposed a flexible MDCEV model that employs a utility function with separate parameters to determine the discrete choice and continuous consumption values. However, the flexible MDCEV model assumes an independent and identically distributed (IID) error structure across the discrete and continuous baseline utilities. In this paper, we formulate a flexible non-IID multiple discrete–continuous probit (MDCP) model that employs a multivariate normal stochastic distribution to allow for a more general variance–covariance structure. In doing so, we revisit Bhat (Trans Res Part B: Methodol 109: 238-256, 2018) flexible utility functional form and highlight that the stochastic conditions he used to derive the likelihood function are not always consistent with utility maximization. We offer an alternate interpretation of the model as representing a two-step decision-making process, where the consumers first decide which goods to choose and then decide the extent of allocation to each good. We demonstrate an application of the proposed flexible MDCP model to analyze households' expenditure patterns on their domestic tourism trips in India. Our results indicate that, if the analyst is willing to compromise on the strict utility-maximizing aspect of behavior, while also enriching the behavioral dimension through the relaxation of the tie between the discrete and continuous consumption decisions, the preferred model would be the flexible non-IID MDCP model. On the other hand, if the analyst wants the model to be strictly grounded on utility-maximizing behavior (which may also have benefits by way of welfare measure computations), and is willing to assume a very tight tie between the discrete and continuous consumption decision processes, the preferred model would be the non-IID traditional MDCP model. [ABSTRACT FROM AUTHOR]

India houses the third biggest Muslim population in the world but over the years it has experienced massive segregation of people based on their religious identities. This large-scale forced and systemic 'ghettoization' of Muslims is a recent trend largely ascribed to the frequent communal' violence and state's negligence towards minorities. In this backdrop, the paper discusses the communal ghettoization of Muslims and uses the Juhapura area of Ahmedabad as illustration to explain the same. This study is essentially based on field observations and literature to comprehend communal tone of ghettoization process. Muslims in India are a minority (15 percent of total population) and suffer most in case riots occur. In the last few decades, following the 1985, 1992 and 2002 riots, Gujarat emerged as a hotbed of communal tension, forcing the Muslim population to migrate from their original locations and seek refuge in other parts of the state. Residents of these newly populated ghettos such as Juhapura are forced to endure these conditions due to fear, lack of choice and state apathy. These localities are largely ignored and lack all forms of socio-economic and physical infrastructure for a decent living. [ABSTRACT FROM AUTHOR]

The present paper aimed to assess the sediment distribution pattern, mode of transport, and its interaction with hydrodynamic and topographic conditions at different depths and regions along the east coast of India. About 900 surficial sediment samples were collected and analysed on a monthly basis for the Chennai coastal region at 32 stations from 2013 to 2015. The study region is classified into four types, such as beach, inlet, 5 m, and 10 m depth. Sediment textural and grain size trend analyses were conducted to achieve the objectives. Sediment characteristics for the region were recorded as sandy, equally dominated by unimodal and bimodal at the beach, while unimodal at shallow depths (5 and 15 m). The sediments were medium sand to coarse sand at the beach, mostly fine followed by medium at 5 and 15 m depths. The sediment sorting is dominated by moderately well-sorted sediments; the skewness of beach sediments was negative, while nearshore sediments were found positive; average kurtosis values of sediments were noticed to be mesokurtic. The CM plot depicts that the sediments were mostly derived by tractive current, and the modes of transport are "bottom suspension and rolling" and "graded suspension no rolling" at beach locations and shallow water depths, respectively. The GSTA analysis reveals the annual average sediment transport pattern is northerly. The numerical hydrodynamic study confirms the GSTA and CM plot analysis. The study reveals a stable sedimentary environment south of the Chennai port and instability in the northern part. The study includes large spatiotemporal nearshore sediment data with hydrodynamic conditions, immensely helpful to coastal stakeholders and researchers. [ABSTRACT FROM AUTHOR]

Indoor air quality (IAQ) in the built environment is significantly influenced by particulate matter, volatile organic compounds, and air temperature. Recently, the Internet of Things (IoT) has been integrated to improve IAQ and safeguard human health, comfort, and productivity. This review seeks to highlight the potential of IoT integration for monitoring IAQ. Additionally, the paper details progress by researchers in developing IoT/mobile applications for IAQ monitoring, and their transformative impact in smart building, healthcare, predictive maintenance, and real-time data analysis systems. It also outlines the persistent challenges (e.g., data privacy, security, and user acceptability), hampering effective IoT implementation for IAQ monitoring. Lastly, the global developments and research landscape on IoT for IAQ monitoring were examined through bibliometric analysis (BA) of 106 publications indexed in Web of Science from 2015 to 2022. BA revealed the most significant contributing countries are India and Portugal, while the top productive institutions and researchers are Instituto Politecnico da Guarda (10.37% of TP) and Marques Goncalo (15.09% of TP), respectively. Keyword analysis revealed four major research themes: IoT, pollution, monitoring, and health. Overall, this paper provides significant insights for identifying prospective collaborators, benchmark publications, strategic funding, and institutions for future IoT-IAQ researchers. [ABSTRACT FROM AUTHOR]

Forest fire is a major disturbance in mountainous ecosystems across the world. It impacts the composition, functioning, and structure of the forest ecosystem. Demographic pressure and the related climatic factors are thought to exacerbate the danger of forest fires, although there is a lack of statistical data to support this, particularly in South Asian countries with limited historical records. The study looks at how forest fires interact with their causative variables, such as population, topography, vegetation, and climate regimes, in the forests of Northern India. In order to do so, the paper presents a 15-year trend analysis of forest burn scars. This investigation confirmed the utility of principal component analysis using multisource spatial data and correlation matrices. The findings reveal that the occurrence and intensity of forest fires in mountainous locations are influenced by anthropogenic activities, forests near roads and settlements are extremely vulnerable. Based on the analysis, we emphasize the need for restructuring the existing policies like National Action Plan for forest fires and forest fire prevention and management scheme into more practical science-based policies. These findings may be utilized in planning effective fire control processes in time, and the technique provided in this study may be used to discover potential fire-risk zones in other areas. [ABSTRACT FROM AUTHOR]

In this paper, we address the effects of two fiscal policy delays on the dynamical analysis of macroeconomics. First, a time gap between the accrual of taxes and their payment is considered. Second, the time spent between the purchasing decisions and the actual expenditure is also taken into consideration. Since both these delays are significant in controlling macroeconomic conditions, this paper incorporates aforementioned delays into the IS–LM model. At first, a mathematical model is developed using delayed differential equations. Then a unique steady state solution is obtained. Around the equilibrium point, linear stability analysis is done. Also, the occurance of Hopf bifurcation is observed when delay crosses a critical point and switches in stability are also detected. Properties of Hopf bifurcation using center manifold theorem are discussed. Lastly, numerical simulations are run to verify our analysis. In this work, we considered a case study to perform simulation wherein GDP of India for last ten years is recorded for estimating some parameters. In different investment scenarios, numerical simulations corroborate the analytical findings of the model. Furthermore, rigorous analysis shows that adding the right mix of delays can help in maintaining/ regaining the stability after periods of instability, or even gaining stability in the long run. [ABSTRACT FROM AUTHOR]

Measles continues to be a major cause of childhood morbidity and mortality in India. Recent studies estimate that 80,000 Indian children die each year due to measles and its complications, amounting to 4% of under-5 deaths. Immunization against measles directly contributes to the reduction of under-five child mortality and hence to the achievement of Millennium Development Goal 4 (MDG 4). The live attenuated measles vaccines are safe, effective and provide long-lasting protection. The key strategies being followed globally for measles mortality reduction are high coverage of measles first dose, sensitive laboratory supported surveillance, appropriate case management, and providing second dose of measles vaccine. Prior to 2010, India was the only country in the world that had not introduced a second dose of measles vaccine in its National immunization program. We herein discuss the current status of measles vaccination along with the rationale and challenges of providing a second opportunity for measles vaccination, and the principles of measles catch-up campaigns. [ABSTRACT FROM AUTHOR]

Adverse event following immunization (AEFI) is a critical component of immunization program. The risk of AEFI with vaccination is always weighed against the risk of not immunizing a child. There is an evolving AEFI surveillance system in India for the vaccines delivered through 'universal immunization program' (UIP) of government sector, but the reporting remained suboptimal for long in the country, and there is almost no participation from private sector. The AEFI reporting from private sector will provide vital information on the safety of new and underutilized vaccines, not part of the UIP in India. The national guidelines are recently revised and updated. The Indian Academy of Pediatrics believes that pediatricians, especially in private sector have a crucial role to play with reporting of AEFI with newer/underutilized vaccines. Programmatic error, vaccine reaction, injection reactions, coincidental and unknown are the five broad categories of AEFI for programmatic purposes. The serious AEFIs (death, disability, cluster and hospitalization) need to be reported immediately and investigated in detail as per the laid down procedures, Once a serious AEFI happens, primary or urban health centre should be immediately informed by the pediatricians practicing in rural or urban areas, respectively. This advocacy paper from the academy provides guidelines to practitioners on how to report cases, and suggests ways for IAP members to help in ongoing efforts of the government in improving AEFI surveillance in the country, The details about the diagnosis and management of known/expected AEFI with UIP and newer vaccines shall be published later. [ABSTRACT FROM AUTHOR]

The World Wide Web serves as an excellent platform for information dissemination. Educational institutions such as universities are utilizing the web medium to reach their target audience. In the post-Covid-19 scenario, the web medium has obtained increased significance as it has become the primary access channel to reach these institutions. In this backdrop, it becomes essential to analyze the accessibility of these sites for students with special needs. This paper presents an approach to compute the accessibility of web pages for persons with disabilities. A variable magnitude approach is proposed in this paper for the computation of accessibility barrier count as a combination of two different components. The proposed approach is experimented with top ranked higher educational institution websites of India. Based on the inferences from the results and inputs received from students with disabilities, a set of suggestions have been compiled by this paper to minimize the barriers faced by persons with disabilities in consuming these web resources. [ABSTRACT FROM AUTHOR]

The objective of this paper is to provide an insight on effect of stringency in Covid-19 spread in India especially in Chennai, a city were more lockdown, and restrictions was imposed to control the infection. Even though the restriction was imposed in the country by the end of March 2020, the growth reduction was seen in the mid of June as the awareness was increased. The average Covid-19 case growth was got reduce from 3.43 to 2.62% by July mid. To analysis the impact of stringency, a detailed analysis was done on Chennai city which was imposed with more repeated lockdowns to flatten the curve. We tried to fit a regression line with three difference scenario of data. The results show a promising R-squared and p value, with a right skewed distribution normal probability plot. The impact of lockdown in people's lives in different sectors were also discussed in this paper. [ABSTRACT FROM AUTHOR]

The Enterprise mobility communication technology provides easy and quick accessibility to data and information integrated into one single touch point device. This device incorporates or integrates all the processes into small applications or App and thus increases the workforce capability of knowledge workers. 'App' which is a small set of programming statements installed on a mobile device. It facilitates the easy retrieval of information while the users are mobile. A single touch point can be loaded with the required data and information all the time. The readiness and availability of data facility can reduce the turnaround response time. The application of mobile technology has already picked up the market in distinguished domain worldwide. In the Indian education sector this technology is yet to be adopted. This paper aims at showing how enterprise mobility can facilitate the University system and user preferences in the mobile App. The paper also highlights how data mining techniques can be applied to various processes, hence exploring user patterns. A new model using data mining techniques is proposed. [ABSTRACT FROM AUTHOR]

The article cites a study which reports on the removal of fluoride contents from water bodies using a submerged plant, Hydrilla verticillata Royle under laboratory and field conditions. The effect of fluoride on chlorophyll, protein, cysteine and malondialdehyde contents has been studied under laboratory conditions. The plants of Hydrilla verticillata Royle were collected from unpolluted water bodies in and around Lucknow, India and acclimatized for 6 months in laboratory campus. In laboratory experiments, part of the harvested plants were blotted using blotting paper to remove excess water and used for the estimation of chlorophyll, protein, cysteine and malondialdehyde contents.

This paper investigates the inter-regional intra-industry disparity within selected Indian manufacturing industries and industrial states. The study uses three measures—the Output-Capital Ratio, the Capital-Labor Ratio, and the Output-Labor Ratio—to critically evaluate the level of disparity in average efficiency of labor and capital, as well as capital intensity. Additionally, the paper compares the rate of disparity of per capita income between six major industrial states. The study finds that underutilization of capacity is driven by an unequal distribution of high-skilled labor supply and upgraded technologies. To address these disparities, the paper suggests that policymakers campaign for labor training and technology promotion schemes throughout all regions of India. By doing so, the study argues, the country can reduce regional inequality and improve economic outcomes for all. [ABSTRACT FROM AUTHOR]