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Abstract Indian pulp and paper industry is one of the fastest emerging business sector of the country which has shown tremendous growth in last few years. Governments policies are creating sustain pressure on paper industries to preserve the clean and pollution free environment at any price. As a result industries are pondering to replace the chemical bleaching processes with facile bio-based cost effective technologies. Eco-friendly bleaching enzymes like xylanases and laccases have the potential for biobleaching of wood and agro-based pulps at industrial scale. In India, enzymatic prebleaching of pulp is widely being investigated and has achieved favorable outcomes but at laboratory scales only and commercial application of enzymes for the delignification of pulp is still at budding stage. This article tends to draw the attention on significant efforts which have been continually attributed by indigenous research laboratories and industries to replace the chemical bleaching with enzymes. [ABSTRACT FROM AUTHOR]

Nonalcoholic fatty liver disease (NAFLD) is a major cause of chronic liver disease globally and in India. The already high burden of NAFLD in India is expected to further increase in the future in parallel with the ongoing epidemics of obesity and type 2 diabetes mellitus. Given the high prevalence of NAFLD in the community, it is crucial to identify those at risk of progressive liver disease to streamline referral and guide proper management. Existing guidelines on NAFLD by various international societies fail to capture the entire landscape of NAFLD in India and are often difficult to incorporate in clinical practice due to fundamental differences in sociocultural aspects and health infrastructure available in India. A lot of progress has been made in the field of NAFLD in the 7 years since the initial position paper by the Indian National Association for the Study of Liver on NAFLD in 2015. Further, the ongoing debate on the nomenclature of NAFLD is creating undue confusion among clinical practitioners. The ensuing comprehensive review provides consensus-based, guidance statements on the nomenclature, diagnosis, and treatment of NAFLD that are practically implementable in the Indian setting. [ABSTRACT FROM AUTHOR]

Abstract This study aims at to make a heuristic analysis of energy efficiency performance of Indian paper industry in a non-parametric production theoretic approach. Using the data for 2004–05 to 2013–14, radial and non-radial variants of DEA were employed to estimate energy saving potential and identify the relative position of paper industry across the states. Preliminary analysis in terms of energy intensity scores showed declining trends of energy intensity over the period of analysis for most of the states except states like Assam, Chhattisgarh, Kerala and Punjab where it does not decline much. Assuming a variable returns to scale (VRS) technology under the conditions of inherent heterogeneity and market imperfection, the slack-based measure (SBM) reported a much higher energy saving potential than reported by other measures in the study. Further by taking scale efficiency into account, the study documented the higher contribution of pure energy inefficiency in explaining the total energy inefficiency within the paper industry relative to scale inefficiency. Finally, the study recommends the propagation of energy efficiency program through a market-based and regulatory mechanism along with consolidation and technological advancement of individual units, in order to tap vast energy saving potential and thereby ensure the growth and environmental sustainability. Highlights • The paper examined the energy efficiency performance of Indian paper industry. • Both radial (BCC) and the non-radial (SBM) measures of energy efficiency, were applied. • BCC measure reported an energy saving potential of 16%. • SBM measure reported an energy saving potential of 24%, higher than BCC measure. • Scale efficiency implied the relatively higher contribution of pure energy inefficiency. [ABSTRACT FROM AUTHOR]

Indigenous communities and their way of life are facing significant challenges due to globalisation, industrialisation and urbanisation, which have forced them to gradually adopt the architecture, lifestyle, and culture of mainstream society. This paper proposes a Smart Vernacular Architecture (SVA) framework and applies it to the indigenous dwellings of the Todas, a tribal community living in India's Nilgiri mountains. The architecture and indoor space quality of these dwellings are investigated in this paper based on specific thermal comfort parameters like the interior temperature and airflow. The indoor temperatures of Toda dwellings are simulated for the predicted climate of 2100 to evaluate their climate resilience. Finally, the paper illustrates the usage of virtual reality (VR) to explore and visualise the Toda settlement and the interior environment parameters of a Toda dwelling to effectively convey and preserve the knowledge of vernacular architecture. In a nutshell, this paper elucidates the advantages of vernacular architecture and construction methods to arouse the interest of academics, policymakers, students, and professionals in preserving architecture, culture, and indigenous knowledge. [ABSTRACT FROM AUTHOR]

• The usability of a paper mill sludge compost (PMSC) in the brick making is established. • Up to 10 wt% of PMSC was suitable for bricks production as per relevant standards. • It is proved that the products can be used in non load-bearing and infill walls. • TCLP procedure demonstrated the non-hazardous nature of the obtained bricks. This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes easier. The addition of PMSC leads to an increase of porosities in bricks and makes them lighter, besides delivering energy to the firing process from burning organics. Lighter construction materials help minimize construction outlay by reducing labour and transportation costs and lesser expense on foundation construction. The variability in the experimental data and the brick properties were investigated for two types of soils, typical in the brick industry of India (alluvial and laterite soil), blended with PMSC in five mix ratios (0%, 5%, 10%, 15% and 20%). The samples of oven-dried bricks were fired at two different temperatures (850 and 900 °C) in an electrically operated muffle furnace representing typical conditions of a brick kiln. Various properties of bricks were analyzed which included linear shrinkage, bulk density, water absorption and compressive strength. Conclusions were drawn based on these properties. It was found that the addition of PMSC to the alluvial and laterite soil by up to 10% weight yield mechanical properties of fired bricks compliant with the relevant Indian and ASTM codes. Toxicity characteristic leaching procedure (TCLP) tests showed that PMSC incorporated fired bricks are safe to use in regular applications as non-load-bearing and infill walls. This study is timely in light of the European Green Deal putting focus on circular economy. Besides, it fulfills the objective of UN sustainable development goals (SDG). [ABSTRACT FROM AUTHOR]

This paper describes the monitoring and evaluation of three improved cookstove dissemination projects implemented between 2004 and 2006 by non-governmental organizations (NGOs) in India and Mexico. The projects assessed stove performance using lab-based water boiling tests (WBTs), which yield a number of performance indicators including time to boil water, specific fuel consumption, and energy efficiency when the stove is operated at both high and low power output. They also conducted field-based kitchen performance tests (KPTs), which yield daily per capita fuel consumption in real cooking conditions. In addition, one NGO utilized a controlled cooking test, which combined elements of lab- and field-based tests. In all cases, improved cookstoves (ICSs) were compared to local traditional cookstoves (TCSs). The results of the WBTs were mixed. Although the improved stoves generally showed some improvement in efficiency for the low-power simmering phases, the stoves were less efficient than traditional stoves in high-power water-boiling phases. The results from the KPTs were much less ambiguous. Three ICS models were tested for fuel consumption during real household use. All ICSs showed statistically significant reductions (p < 0.05) in average daily per capita fuel use ranging from 19 to 67%. We also explore the correlations between the outcomes in lab-based tests and field-based tests in order to understand the relationships between the two assessment methods. Only fuel consumption in the low-power phase of the WBT showed a strong correlation with fuel consumption in the field (r2 = 0.83, p = 0.01). We discuss the implications of this association as well as the other outcomes and present some policy recommendations for monitoring and evaluation of large-scale stove interventions. [Copyright &y& Elsevier]

A simple framework to estimate the potential of solar industrial process heating (SIPH) and corresponding CO 2 emissions mitigation in paper industry in India is presented. Geographical locations with clusters of paper mills have been identified and the annual process heating requirement for paper production (based on raw material use) at each cluster has been estimated. The total process heating potential for the paper industry in India has been estimated at 25.2 PJ/annum. Using the estimated performance of a commercially available parabolic trough based SIPH system with collector area requirement of 1.11 million m 2 annual solar fraction in the range of 0.25–0.30 have been estimated. Annual energy delivery of SIPH systems estimated at 4.34 PJ per annum. Finally at 8 main locations with clusters of paper mills in India considered in this study, adoption of SIPH without storage is expected to mitigate 0.34 million tonnes of CO 2 emissions annually. [ABSTRACT FROM AUTHOR]

We analyse the results from a longitudinal natural field experiment that provides an environmental nudge by reinforcing positive environmental norms. Posters asking individuals to use less paper are pasted on printers (Times) and in office cubicles (Umendall) of two information technology firms around New Delhi, India. A third firm (India Mart) does not get the nudge and serves as our control. During the nudge period, employees of the firms that get the conservation message on average expend a significantly lower number of sheets per day as compared to the pre-nudge period, measured both in terms of paper used and paper wasted. Furthermore, after the nudge is removed, the per capita paper wastage for one of the firms that received it (Times) does not increase significantly over the next month and a half, whereas for the other firm (Umendall) it does but remains significantly lower than the per capita wastage in the pre-nudge period. In terms of total paper used, the nudged firms show a reduction in the number of sheets used several weeks after the nudge is removed. For the control firm, the wastage and usage of printer paper does not change significantly over the duration of the experiment. A robustness check with no nudge intervention done by computing per capita wastage and usage for the same dates exactly one year later does not show a reduction over the same time period and offers support for our conclusions. [ABSTRACT FROM AUTHOR]

An enzyme cocktail (xylanase-15U, pectinase-2U, α-amylase-2.5U, protease-2U and lipase- 1.8U) from Bacillus halodurans was applied for the biobleaching of unbleached and ODL (oxygen delignification) agro based pulp in the R&D set up of Shreyans Paper Mills Ludhiana, India, upscaling from 5 g (at lab scale) to 100 g odp (oven dried pulp). Enzyme pre-treatment was carried out at temperature and pH optima of 65 °C and 9–9.5 for 90 min followed by reduced chemical treatment. In case of unbleached agro pulp, as compared to the total chemical bleaching in mill, enzyme cocktail pre-treatment reduced the chemical usage by 50% without compromising brightness and rather with increased tensile strength (23.55%), burst factor (20.3%) and tear factor (3.17%) and reduced kappa number (19.5%). In case of ODL pulp, enzyme cocktail pre-treatment reduced the chemical usage by 40%, yet increasing brightness (2.24%), tensile strength (20.96%), burst factor (5.1%) and tear factor (8.2%) with reduction in kappa number (4.54%). The enzyme cocktail thus can make the paper manufacturing process greener, safer, economical and eco-friendly and may replace big budget ODL technologies. [ABSTRACT FROM AUTHOR]

Summary: Objective: Aim of the study was to determine the prevalence of Acanthosis Nigricans (AN) in a central Kerala south Indian population and to evaluate its correlations with diabetes, obesity, insulin levels and other factors. Methods: A cross-sectional community survey including physical examination and biochemical evaluation was conducted among adults above the age of 18 years in central Kerala In the first phase of the study 3069 participants were surveyed using questionnaires regarding socioeconomic status and medical details. Among them 986 subjects were evaluated in the second phase of the study which included anthropometric measurements, examination for blood pressure and Acanthosis Nigricans, blood tests such as blood glucose, fasting lipids. Fasting serum insulin level was measured for all non-diabetic subjects. Statistical analysis was done using SPSS 11.0 version software. Results: Results of the study showed that 16.1% of population had AN and it was significantly higher among females (19.6%) than males (11.4%). Prevalence of AN was highest in 30–40 year age group and it decreased with the age. Prevalence of AN correlated positively with female gender, obesity, high triglyceride levels and presence of diabetes. Presence of AN was significantly associated with higher fasting insulin levels. Males with AN had significantly higher insulin values than females with AN. Conclusion: AN has stronger clinical relevance among males than females and it can be used as a marker of insulin resistance in south Indian population especially if obesity and family history of diabetes are also present. [Copyright &y& Elsevier]

Using a discounted cash flow methodology, we have performed a detailed analysis of the current costs of electricity from two Indian nuclear reactors. We compare these costs to that from a recently constructed coal-based thermal power plant of similar size. Our results show that for realistic values of the discount rate, electricity from coal-based thermal power stations is cheaper than nuclear energy. [Copyright &y& Elsevier]

The women-energy nexus involves the challenge of engendering energy and the challenge of empowering women through energy. The first challenge arises from the gender disaggregation of energy consumption patterns. A quantitative account of the share of women in these patterns is presented through a description of the rural energy consumption pattern of the village of Pura in South India. The results indicate that women work more hours than men. Women also perform the back-breaking tasks and are displaced by agricultural mechanisation. The energy output-input imbalance is aggravated by the fact that, in developing countries, women traditionally eat last and least in a family – women therefore take in less food energy than men. The gender distribution of labour results in negative health impacts. The scarcity of energy services in rural areas has serious social and gender impacts. Tackling them requires energy interventions to improve the quality of life for women. Examples of such energy interventions are the community biogas plant at the village of Pura and the multi-purpose platforms of the Mali project. Since technological opportunities exist for such energy interventions, attention is turned to the second challenge of empowering women through energy entrepreneur ship. This requires a change of mind-set on the part of energy planners and activists – they must promote the notion of women as managers and entrepreneurs, and not just beneficiaries, of improved energy services. The idea is to push the following sequence: women as deprived in energy consumption patterns → women as beneficiaries of energy interventions → women as managers of enterprises → women as energy entrepreneurs. This is nothing short of a paradigm shift – but once achieved and implemented, the results will speak for themselves. Such an approach will engender energy by converting it into a force for improving the quality of life as well as enhancing productive capacities – a virtuous circle of energy for women and women for energy. [Copyright &y& Elsevier]

The article discusses the airway pressure for infants with meconium aspiration syndrome which includes mechanical ventilation and medical care .

A comprehensive case study of Mumbai (Bombay), India was undertaken to investigate the economic, social and environmental impact of international trade of waste paper for recycling purposes between industrialized and developing countries. Analysis of a Western approach vis-a-vis informal policy for waste paper recovery concludes that employment is maximum under informal policy measure and public response playsan important role in maintaining environmental quality. The study further shows that income inequality is more under informal policy, andwithout policy public cost will increase continuously in the future.The net present value of the informal policy is found to be higher than that for the formal policy. Econometric study on input substitution in the Indian paper industry suggests limited substitution possibilities between domestic and imported waste paper. Results from a static material balance flow model indicate that environmental impacts are less with increased trade and economically the paper sector in India benefits from free trade. Based upon the results of the study, somepolicy recommendations have been made that may enhance the efficiency of waste paper recycling in India. [ABSTRACT FROM AUTHOR]

This paper foregrounds the work of the labourer in infrastructural projects. It draws upon over 6 years of ethnographic study with road construction labourers in the upper Himalayas positioning them as subaltern subjects within discourses of national development. While the subaltern studies project of the 1980s emphasized the 'writing back into history' of the non-elite, primarily peasants, tribal populations and women who too contributed to the imagination of the nation; at the contemporary moment where infrastructure defines national development we need to revisit the subaltern project to draw attention to the forgotten labourers who literally construct the nation and its infrastructure. After arguing for recognition of the labour as intrinsic to infrastructural and national constructions, I discuss possibilities for a dialogic engagement with the subaltern. Pushing the debates within subaltern geographies on the politics of representation, I argue that perhaps the way forward is not about giving voice but about making space. [ABSTRACT FROM AUTHOR]

Non-alcoholic fatty liver disease (NAFLD) is closely associated with metabolic syndrome. Prevalence of metabolic risk factors including diabetes mellitus, obesity, etc. is rapidly increasing in India putting this population at risk for NAFLD. Patients with NAFLD are at increased risk for liver-related morbidity and mortality and also cardiovascular disease risk and increased incidence of diabetes mellitus on long-term follow-up. Management of patients with NAFLD may require a multi-disciplinary approach involving not only the hepatologists but also the internists, cardiologists, and endocrinologists. This position paper which is a combined effort of the Indian National Association for Study of the Liver (INASL), Endocrine Society of India (ESI), Indian College of Cardiology (ICC) and the Indian Society of Gastroenterology (ISG) defines the spectrum of NAFLD and the association of NAFLD with insulin resistance and metabolic syndrome besides suggesting preferred approaches for the diagnosis and management of patients with NAFLD in the Indian context. [ABSTRACT FROM AUTHOR]

Debate about the causes and consequences of regional deforestation in India has paved the way for calls to action and intervention, and state-sponsored afforestation has led to government claims of progressagainst land degradation. Census statistics from the arid state of Rajasthan show a tide of forests reclaiming the land. These trends obscure crucial realities that continue to undermine the claims of the state: forest ecosystems continue to disappear, expanding cover is characterized by an ecologically narrow range of species, and forest management remains rooted in a decision structure that fails to educe local knowledge and experience. More fundamentally, the flaws in the Rajasthani forest campaign reflect an entrenched pattern that has long guided authorities in the region; to govern the landscape, the state must quite literally construct forests as mental categories, discursive tropes, and material realities where none have existed before. The material conditions of tree cover are, in this way, influenced by the discursive forms of forest imported into the region. This paper surveys the contradictory trends in Rajasthani land cover, interrogating the relationship between the forests that expand on paper and those that dwindle on the ground. In the process, the paper contributes to ongoing work in post-structural political ecology by asking how discourse matters in the reconstitution of material ecologies and by linking the construction of ecological categories to the formation of landscapes. [ABSTRACT FROM AUTHOR]

Dry root rot (DRR), caused by Macrophomina phaseolina , is a prevalent disease of mungbean in Myanmar, and an emerging problem in South Asia. The pathogen is a polyphagous necrotroph, survives in the soil for many years that results disease mitigation difficult. Managing DRR in mungbean through an integrated approach has been suggested, and the use of resistant varieties is one of the economical methods. The present study aimed to identify sources of resistance against DRR from a mungbean mini-core collection and to characterize the associated M. phaseolina isolates from India and Myanmar. Evaluation of the 296 mungbean mini-core accessions against the isolate MP1 by paper towel method identified 29 accessions with DRR resistance (disease scores: ≤ 3), and 18 of them with the consistent resistance in the repeated experiment. During the screening of 18 resistant accessions in the glasshouse, nine accessions were found DRR resistance in repeated sick pot experiments with ≤10% disease incidence. A subset of 30 accessions was selected from the mini-core collection based on their in vitro DRR reactions. These accessions were evaluated for DRR resistance in the field in Yezin, Myanmar in 2018 and 2019. Out of the 30 accessions, ten accessions were found DRR resistance with ≤10% disease incidence in both years of evaluations. Pooled analysis of percent disease incidence data of 15 accessions common in both glasshouse and field revealed the stability of accessions VI001509AG, VI001244AG, and VI001400AG for DRR resistance across years and locations. The three resistant accessions along with a susceptible check VC693088 were re-evaluated by paper towel method against nine additional M. phaseolina isolates from India (MP3-MP11). The accessions VI001509AG and VI001400AG were resistant to all nine isolates, while accession VI001244AG was resistant to MP5, MP6, and MP7 isolates. These accessions could be used in mungbean DRR resistance breeding programs. • Macrophomina phaseolina isolated from mungbean from different regions showed morpho-cultural and pathological variability. • In vitro screening of 296 mungbean mini-core accessions against DRR identified 29 accessions with resistance. • Nine accessions in the glasshouse and ten accessions in the field showed DRR resistance. • GGE biplot analysis revealed that accessions VI001509AG, VI001244AG, and VI001400AG with stable DRR resistance. • Accessions VI001509AG and VI001400AG showed resistance against nine M. phaseolina isolates from India. [ABSTRACT FROM AUTHOR]

• Caste is an important and unique axis of inequality in India. Caste based digital divide can exacerbate the existing socioeconomic divisions between different caste groups. • Using non-linear decomposition method, the present paper explains the digital divide between disadvantaged and other caste groups. • We find that there is a considerable first level and second level digital divide between the disadvantaged caste groups and Others in India. • The caste-based digital divide is largely explained by the differences in education and income between the caste groups. • The study foregrounds the importance of bridging the caste-based digital gap by closing the gap between the educational attainments of the disadvantaged and other caste groups. With the increasing importance of information and communication technologies in access to basic services like education and health, the question of digital divide based on caste assumes importance in India where large socioeconomic disparities persist between different caste groups. Studies on caste-based digital inequality are still scanty in India. Using nationally representative survey data, this paper analyzes the first-level digital divide (ownership of computer and access to the Internet) and the second-level digital divide (individuals skills to use computer and the Internet) between the disadvantaged caste groups and Others. Further, this paper identifies the caste-based differences in socioeconomic factors that contribute to the digital divide between these groups using a non-linear decomposition method. The results show that there exists large first-level and second-level digital divide between the disadvantaged caste groups and Others in India. The non-linear decomposition results indicate that caste-based digital divide in India is rooted in historical socioeconomic deprivation of disadvantaged caste groups. More than half of the caste-based digital gap is attributable to differences in educational attainment and income between the disadvantaged caste groups and Others. Findings of this study highlight the urgent need for addressing educational and income inequality between the different caste groups in India in order to bridge the digital divide. [ABSTRACT FROM AUTHOR]

Green hydrogen can be the transitional solution required to reduce anthropogenic emissions and enhance energy independency from fossil fuel. To improve green hydrogen adoption, a cluster-based infrastructure, called a hydrogen hub, is devised taking into account the demand-supply interplay coupled with transport ease. In this paper, we have identified sites across states that are conducive for hydrogen hubs. It involves a multicriteria decision-making (MCDM) framework deployed to assign priorities within competing set of criteria. A comprehensive analytical hierarchy process (AHP) is used to rank criteria that are connected to establish a functioning hydrogen hub. These criteria include, but not limited to, proximity to refineries, fertilizer plants, substations, chlor-alkali units, steel manufacturing plants, water availability, access to gas pipelines, railway line access, and finally distance to highways. Our analyses indicate that proximity to refineries and fertilizers scored higher (scores directly proportional to importance) while railway line access scored the least. These prioritised scores are used to spatially locate sites using geographical information system. In a total of thirteen states identified, Gujarat had the largest parcel of most suitable land for setting up hydrogen hub followed by Maharashtra and Andhra Pradesh. For India to set up a functioning hydrogen economy and achieve green hydrogen goals, it is important to identify states that can drive the agenda forward. This paper illustrates a way (amongst many available ways) to identify states based on their strength and capability to fulfil the national goal of 5 million tons of green hydrogen by 2030. • The paper addresses setting up of green hydrogen hubs in India based on a multi-criteria site selection framework. • Nine selection criteria covering aspects of hydrogen ecosystem proposed to identify site(s) suitable for hydrogen hubs. • Integration of AHP and GIS is used to ascertain land parcels where hydrogen economy can sustain across states in India. • Zones in 13 states were identified as potential hydrogen hubs. [ABSTRACT FROM AUTHOR]

• Manufacturing share in India's GDP has increased by about 16 percentage points between 2003 and 2018. • Dominant contribution to increased manufacturing GDP share is made by petroleum refining. • There has been a tremendous increase in the real value-added share of ICT equipment industry. • For assessing properly the performance of manufacturing, double-deflation of GDP is essential. Contrary to a widely held impression that the share of manufacturing in India's GDP has long stagnated, the paper claims that it has increased significantly. Measured at the prices of different goods and services prevailing in 2004-05, and deflation applied separately with input prices as well as output prices to account for differential input price trends, the GDP share of manufacturing has increased during the post-reform period from about 17 per cent in 1993-94 to about 32 per cent in 2018-19. The paper notes that the concept of real share in GDP relates to the volume effect and represents the change in the share of the volume of manufacturing activity out of the volume of all economic activities in the Indian economy. Some explanation is provided for the apparent stagnancy of the share of manufacturing in India's GDP at current prices. [ABSTRACT FROM AUTHOR]

Blueprint provides a base for assessment by assigning proportionate weightage to various content areas and helps the paper setter to construct a uniform and valid assessment. This study aimed to design and validate a blueprint for theory in Community Medicine as per the new curriculum for Medical Undergraduates in India. Blueprint in community medicine was designed by assigning impact score (I) and frequency score (F) for the competencies. Blueprint was validated using the Content Validity Index (CVI), and inter-rater agreement for subject experts using Fleiss' kappa statistics was calculated. Feedback from faculty and students was obtained afterward to assess the postimplementation response. Blueprint was designed by an expert group where impact score and frequency score were assigned to 146 competencies in the theory of Community Medicine. In Delphi survey I, 63.2% of subject experts responded, while in Delphi survey II, a response rate of 58.3% was achieved. Value of the Fleiss' Kappa test for an inter-rater agreement was 0.68, i.e. "substantial agreement," while CVI among the raters came out to be 0.86, i.e. overall valid assessment. Feedback of faculty (n = 11) suggested that the blueprint was helpful and standardized the paper setting, whereas feedback from students (n = 138) depicted that it helped in preparing for exams, and they would recommend it to other students. Validated blueprint by consensus of subject experts has impact score and frequency score along with topic-wise distribution of marks for the convenience of faculty and its utility is well proven among learners too. [ABSTRACT FROM AUTHOR]

This paper precisely estimates the looming demand for hydrogen within the transportation sector, spanning 14 pivotal G20 nations from 2022 to 2050, anchored in the global vehicle hydrogen market penetration rate. Employing a robust techno-economic modeling methodology and leveraging Geographic Information System (GIS) for enriched visualization, it unveils distinct environmental dividends across three thoughtfully devised scenarios: Business- as -Usual, Moderate, and Aggressive. Findings herald India and China as pinnacles of hydrogen demand, with South Korea and Japan tailing closely. The study forecasts the energy consumption for solar hydrogen production in G20 countries to oscillate between 3.02 and 2.89 million GWh in 2022, while production costs are anticipated to range from $8.47/kg to $10.01/kg. In an assertive scenario, the paper illuminates a pathway towards achieving a significant CO 2 reduction, unmasking environmental savings of up to a staggering 48%, equivalent to 1.5 million mtCO 2 , by 2050. [Display omitted] • Hydrogen demand of G20 countries is analyzed using GIS and techno-economic models. • The projected adoption rates of hydrogen vary among the G20 countries. • Solar energy is crucial in determining each region's annual energy demand. • China, US, and India have the highest solar potential throughout the year. • The environmental analysis shows 850–1.5 million mtCO2 total emissions by 2050. [ABSTRACT FROM AUTHOR]

Carbon footprints (CFs) are the measure of extent of green house gases (GHGs) emitted from any organization or activity. Reporting of extent of CFs in terms of CO 2 e from educational campus may be considered as a first step towards sustainable educational practices. The present study employs a bottom up approach where CFs due to consumption of resources from each academic department is evaluated separately and net is obtained by adding contributions from individual departments. This method has the advantage of avoiding the potential overlaps in the calculation. Hence this approach to calculate carbon footprints can lead to their precise CF evaluation. In order to justify above hypothesis, CF evaluation was carried out at Shikshana Prasarak Mandali's Sir Parashurambhau College, Pune for three consecutive years starting from 2015 to 2016. The average carbon footprints over the study period were 3630.57 ± 296.79 tones CO 2 e per year with per capita emission of 0.81 ± 0.06 tones CO 2 e. The emission density determined from the average value was found to be 0.0361 ± 0.0029 tCO 2 e m−2 of the campus. It was observed that emission sources classified as scope-1, scope-2 and scope-3 contribute 28%, 48% and 25% respectively to total emission. Out of all the emission sources identified, apart from human contribution through respiration, electricity (35%), biodegradable and non-biodegradable waste, stationary paper, 7%, use of chemicals in the laboratories (5%), paper for official purpose (12%), LPG (3%) and transport (27%) were main contributors. As this is a multi faculty college, science faculty contributes almost 62%, commerce 9% and arts 11% of the total emission. • Present paper highlights carbon footprints from an Indian HEI using bottom up approach. • A questionnaire based survey was used to arrive at departmental and net footprints. • Carbon footprints of HEI in India are much less as compared to developed countries. • The carbon footprints of Indian HEIs are expected to grow at 5–6%. [ABSTRACT FROM AUTHOR]

Assessment, maintenance, and implementation of environmental flow (hereafter e-flow) in rivers and wetlands have been recognized as a vital tool for sustaining freshwater ecosystems in several countries including India. In this view, the paper intends to review the current understanding of e-flow concept in India. This can be accomplished by reviewing case studies reported for different river basins across India and documented literature, legislative and water policy reports, minutes of meetings, workshops, and conferences. with the aim, On the other hand, its aims to briefly trace the history of e-flow assessment studies as well as the progress that has been achieved so far since 1998s. Role of enabling factors and constraints for e-flow implementation in India at a macro scale is also highlighted, which shows e-flow understanding has received considerable attention over the past two decades for the conservation of freshwater ecosystems and is still evolving. This paper also concludes with identifying a range of actions and gives some directions for future research that requires for e-flow implementation in a river basin. [ABSTRACT FROM AUTHOR]

• Bamboo plays a vital role in social, economic and ecological development in India. • Analyzed dataset of 9000 sample of 27 commercial Indian bamboo species. • Special properties of bamboo helped the industry to grow rapidly. Bamboo, a rapidly growing grass, plays a vital role in social, economic, and ecological development of India. India's big market for bamboo opens up an enormous potential to enhance the quality of life of both urban and rural communities. Bamboo has versatile applications in construction material, pulp ö paper industries, rods, weaving material, plywood, baskets, headgears, environmental regeneration quality, soil binders, food and medicine describing the commercial importance and ecological sustainability of its products. This paper presents details of 27 commercial species of bamboo collected through field studies in India. The market value of different species among all twenty-seven species has been assessed using clustering techniques. The study provides information about the clusters including area of application, turn-over, international imports-exports value of products and supports from State and Central Government and thereby determining their commercial values. The major conclusion leads to the development of an appropriate intervention plans in different industrial areas with respect of marketing and technological upgradation etc. which would also provide a way to strengthen cooperation among clusters regardless of their size of business operation. [ABSTRACT FROM AUTHOR]

The global problem of climate change and difficulties related to energy access, air pollution, and water pollution in India (and other developing countries) necessitate the need to look for alternative clean, local, and low-carbon energy sources for displacing fossil fuels. This paper analyses the existing waste-to-biomethane potential of the sericulture, fisheries, and agro-industrial sectors in India, which have mostly been neglected previously in India's waste-to-energy assessments. In the process, the volume of wastewaters generated from India's agro-industries are also estimated, data on which are scarce in the academic and grey literature. India's annual biomethane potentials (for 2018–19) were found to be 88 million m3, 207 million m3, and 3514 million m3 from the three sectors, respectively. To assess the energy generation potential of these wastes, a comprehensive literature review was conducted and data on residue-to-product ratios, results of proximate analyses, and specific biomethane yields were either compiled or calculated. The gross thermal energy and electricity generation potentials are 132 PJ and 22 TWh respectively; between 19 and 95 million people can benefit from such waste-to-energy production, depending on the end use of the biomethane for electricity generation or as a domestic cooking fuel. The corresponding mean removal of organic pollution from India's surface waters can be between 5.5 and 9.3 million tonnes of chemical oxygen demand. For the end uses of biomethane in electricity generation and cooking, the cumulative GHG abatements attributable to these industries are 11.4 million tonnes and 6.8 million tonnes of carbon dioxide-equivalent respectively. Besides the numeric results reported, this paper also contains a comprehensive compilation of data on waste characteristics and biomethane productions. The present status of biogas generation and related policy implementation in India are reviewed and discussed. Overall, our findings indicate that biomethane from these wastes and wastewaters can generate substantial energy for India, is in line with recent government policies, and can aid India in achieving six Sustainable Development Goals of the United Nations. • Annual estimates of wastes from India's sericulture, fisheries and agro-industries • The corresponding annual biomethane generation potential is 3810 million m3. • Clean electricity or cooking gas for 19 and 95 million people respectively • Quantitative estimates of atmospheric GHG and surface water COD removals • Biomethane data compilation and a review of present status and policies in India [ABSTRACT FROM AUTHOR]

Abstract: By analyzing COSMIC data, found more than 50% reduction in electron density during a solar eclipse at the F2-layer and above, with the peak of ∼70% at 370km. So great eclipse effect on topside ionosphere was very abnormal and much different from previous studies. However, by comparing the cosmic data with IRI results, we find that the abnormal reduction comes mainly from the significant local time variation at sunrise, not from the eclipse effect. Furthermore, we simulated the eclipse effect by using a theoretical model to confirm our analysis. [Copyright &y& Elsevier]

Appropriate and timely first aid reduces morbidity in burns. This study aims to assess the knowledge of first aid in burns among healthcare workers (HCW) and nonhealthcare workers. (NHCW). A survey, distributed in both paper and Google survey formats, presented five sample cases with multiple-choice answers. Participants recorded the most suitable first aid management for each scenario. Correct answers were provided on completion. Out of the total 753 participants, only 89 (11.8%) got all five answers correct. 16% HCW and 6% NHCW could answer all 5 questions correctly (with a true HCW:NHCW ratio of 2.67:1). Providing care for individuals with burns substantially raised the probability of giving accurate responses (p = 0.0001). While attending the general First Aid Course did not affect the responses (p = 0.08), participation in the Burns First Aid Course demonstrated slightly improved results (p = 0.052). The scenario involving liquid petroleum gas leakage saw a high proportion of correct responses, likely influenced by media coverage. We find a clear need for adequate training in burns first aid due to low awareness among healthcare workers (HCW) and non-healthcare workers (NHCW). Factors such as participation in burn first aid courses and gaining firsthand experience in treating burns were found to be linked to improved knowledge of burns prevention and first aid. Utilizing various media channels could be a valuable strategy to reach a broader audience, especially in remote and inaccessible areas. • There is limited awareness of burns first aid and prevention among both healthcare and non-healthcare workers • Experience in treatment of burn injuries improves knowledge of burns first aid better than first aid training. • Efficient use of multimedia and technology enhances burns prevention and first aid knowledge, reaching remote areas. [ABSTRACT FROM AUTHOR]

This paper presents evidence of gender peer effects in high schools in India using new administrative data. Identification of gender peer effects is achieved by exploiting variation induced by idiosyncratic changes in gender composition across cohorts within schools, in addition to controlling for past scores. The proportion of female classmates in a student's cohort has a sizeable positive effect on the test scores of both male and female students. We find that peer effects vary non-linearly with the proportion of female students. Finally, we provide suggestive evidence on plausible mechanisms. We show that achievement spillovers are not the main driver of positive gender peer effects. Using a supplemental dataset, we show that a greater proportion of female students leads to an improved classroom environment in the context of Indian schools. [ABSTRACT FROM AUTHOR]

• Three characteristically different plasma structures viz. EMSTID, plasma depletion and non-electrified MSTID were observed simultaneously. • The individual structures underwent evolution, distortion, and dissipation separately. • The lack of mutual interaction between these three structures, despite existing simultaneously, is highly unusual. An unusual event of three characteristically different plasma structures on a geomagnetically quiet night (Ap = 4) of 08 July 2018 has been investigated in this paper using an all-sky imager installed at Hanle, Ladakh (32.7°N, 78.9°E; Mlat. ∼ 24.1°N), India. These structures include a freshly generated electrified medium scale traveling ionospheric disturbances (EMSTID), ambiguous plasma depletions, and a northward propagating non-electrified MSTID. One of the most fascinating aspects of this event was the lack of mutual interaction between the three structures, even though they existed simultaneously and propagated in different directions. They individually underwent evolution, distortion, and dissipation separately. One of the structures was an EMSTID, which got generated within the imager's field-of-view (FOV) and evolved with time. As time progressed, different strip-like structures travelled southwestward, merged with each other to form the EMSTID. The second structure was plasma depletions which appeared in the southeastern part of the FOV. They eventually merged into a single band, which propagated nearly westward. The merged band evolved with time, extended further northward, and dissipated later. Along with these, a very rare non-electrified MSTID structure with east–west aligned fronts was observed which propagated northward. Its fronts underwent distortion, became curved and dissipated. In this study, we have explored the role of electrodynamics behind the observed unique features of the three plasma structures. [ABSTRACT FROM AUTHOR]

Receivers and intermediary establishments typical to urban areas have unique freight behaviour and are understudied, particularly in developing countries. This paper uses establishment-based freight survey data to examine their freight generation patterns in the Chennai metropolitan area, India. Three sets of Simple Linear Regression (SLR) models, three single predictor proportional odds logit models, one multiple linear regression model, and one multiple predictor proportional odds logit model with business size (employment, area, and operational age) and indicators of establishment category as regressors are developed each for both freight production and freight attraction. Partial proportional odds logit models are developed in a few cases to overcome the limitations of proportional odds logit models. The best SLR model varied with the establishment category for freight production and attraction. The establishment area model is the best among single predictor proportional odds logit models. The multiple predictor proportional odds logit models marginally improved the fit over single predictor models. The proportional odds logit model results show that the establishment category has a greater impact on freight generation levels than business size variables. Since earlier studies rarely focused on receivers and intermediary establishments, policymakers may benefit from the developed models and study insights while estimating freight demand and developing freight policies. • Receivers and intermediary establishments' freight generation is studied. • Partial Proportional Odds (PO) logit models are developed for freight attraction. • Area model is the best single predictor PO logit model for freight generation. • Establishment type affects freight generation more than business size variables. [ABSTRACT FROM AUTHOR]

In this paper, we show that the village social structure shapes the learning outcome of marginalised children in rural India. Exploiting the variation in the dominant social group in the village, we find a significant impact of village dominance. The reading and arithmetic skills of Scheduled Castes are better in their own castes-dominated villages compared to higher castes-dominated villages. Our findings show that village dominance affects learning outcomes primarily through differential teachers' behaviour. Children from marginalised castes are more likely to be scolded, beaten up, and treated unfairly by teachers in villages dominated by higher castes compared to their own castes. We do not find evidence of other mechanisms like the difference in parent and children's aspirations, caste diversity, discrimination in the village, or positive group externalities, which could explain why children from Scheduled Castes fare better in their own castes-dominated villages. [ABSTRACT FROM AUTHOR]

Social innovation has come to be identified as a key aspect of development. Objectives related to personal and socioeconomic development often inspire this type of innovation. Relevant goals can drive societies to fulfil citizens' needs while promoting overall empowerment and inclusion. This paper analyses the emergence and development of social innovation in rural territories in the opposing socioeconomic settings of Portugal and India. By addressing social innovation in rural territories, the paper contributes to the research and provides empirical evidence from contexts and analytical frameworks that have been neglected by most innovation scholars. The paper acknowledges the context of innovation processes and dynamics - rural territories in western and non-western countries. The consideration of two different, contrasting socioeconomic contexts provides a privileged framework to analyse the dynamics involved in the emergence and development of social innovation, namely the top-down and bottom-up approaches that characterize it. • There are contrasting realities concerning the SI processes in Portugal and India. • Depending on the context, SI takes place under top-down, bottom-up or mixing the two approaches. • It is important to open the 'black box' of SI and understand the concrete modes of its emergence and development. [ABSTRACT FROM AUTHOR]

[Display omitted] • Maize production due to its many climate friendly properties have been center of research and development in terms of yield, water per hectare requirement, and so forth. • Out of agricultural stubble waste, corncob showed highest potential for beneficiation amongst traditional cash crops. Corncob beneficiation products and their applications span from bio fuels to mattress, with over 3500 products. • With processes such as gasification, pyrolysis, combustion and so forth, we can use this agricultural waste product for energy generation. • With applications such as bio-oil, ethanol blending, poultry feed, bio char, methanol, and so on maize was found to be the answer to many global problems. Increased global energy consumption and energy generation constraints using non-renewable energy sources have stressed countries and major industries to practice and develop cleaner, sustainable, readily available and predictable source of energy. On the other hand, agricultural waste or stubble burning presents a major problem for developing countries like India as it alone produces 516 million tons of agricultural waste in the year 2017-2018, out of which 116 million tons waste was burnt producing 176.1 Mt Carbon dioxide, 10 Mt of Carbon monoxide, and other harmful greenhouse gases. Though 13% of India's total energy is produced by the biomass, a lot of scope and potential in waste biomass is still left unexplored. Research and development in biomass (agricultural waste) conversion to energy is the potential solution to both problems. Out of all agricultural waste biomass, corncob was the center of research for this review paper. This review paper covers global and Indian scenario in the generation of corn cob, its beneficiation and uses in multiple industries, characteristics of corn cob, technologies available and used for the biomass conversion, limitations faced by the industry in corn cob's beneficiation, future potential developments, pledged goals and projected targets. [ABSTRACT FROM AUTHOR]

Challenged by complex problems and the speed of technological, social, and environmental change, the joint approach of Lean Management and the Agile Mindset has been explored in business as a management model. This paper aimed to carry out a bibliometric analysis of Lean Agile Management, pointing out trends in scientific research. To this end, an exploratory and descriptive study was developed, with a quantitative approach and based on secondary data from the Web of Science and Scopus, between 1994 and 2022. Bibliometric indicators pointed to 1808 different papers in 897 sources, with 18 citations per paper, and higher scientific productivity of U.S. (276), India (221), and UK (191), with production peaks in 2018 and 2021, suggesting the diffusion and contemporaneity of the research topic. The laws of bibliometrics were not met for this research subject, and dense networks of collaboration and co-citation among researchers were identified, mainly in four application domains, including supply chain, manufacturing, sustainability, and software development as corroborated by the word network. [ABSTRACT FROM AUTHOR]

Agriculture and its allied sector provide the livelihoods of vast rural areas in India. It also plays a vital role in the growth of developing countries like India. Rice, one of the primary components of Indian agriculture plays a significant role in the food security of the country and the world. However, it is stricken by many diseases that affect the quality and quantity of rice yield. This paper proposes a custom CNN architecture for detecting and classifying common diseases found in rice plants by reducing the number of parameters associated with the network. The proposed CNN architecture has been trained using a dataset of four types of common rice plant diseases. In addition, 1400 on-field images of a healthy rice leaf image dataset have been introduced in the paper for the detection of disease-free plants as well. Independent experiments were carried out with and without the inclusion of the healthy leaf image dataset. The performance of the proposed model is evaluated with the use of Stochastic Gradient Descent with Momentum (SGDM) and Adaptive Moment Estimation (Adam) optimization techniques using several performance matrices. Experimental results from the dataset for the classification of four rice plant diseases show that the model using SGDM optimization gives maximum accuracy of 99.66% and the model using the Adam optimization gives maximum accuracy of 99.83% on the test set in the 7th epoch respectively. However, the model with Adam optimizer performed better than the model with SGDM optimizer when the healthy leaf image dataset is included giving a maximum accuracy of 99.66% and 97.61% in the 7th epoch respectively. [ABSTRACT FROM AUTHOR]

For the very first time, on 22-March-2020 the Indian government forced the only known method at that time to prevent the outburst of the COVID-19 pandemic which was restricting the social movements, and this led to imposing lockdown for a few days which was further extended for a few months. As the impact of lockdown, the major causes of air pollution were ceased which resulted in cleaner blue skies and hence improving the air quality standards. This paper presents an analysis of air quality particulate matter (PM)2.5, PM10, Nitrogen Dioxide (NO2), and Air quality index (AQI). The analysis indicates that the PM10 AQI value drops impulsively from (40–45%), compared before the lockdown period, followed by NO2 (27–35%), Sulphur Dioxide (SO2) (2–10%), PM2.5 (35-40%), but the Ozone (O3) rises (12–25%). To regulate air quality, many steps were taken at national and regional levels, but no effective outcome was received yet. Such short-duration lockdowns are against economic growth but led to some curative effects on AQI. So, this paper concludes that even a short period lockdown can result in significant improvement in Air quality. [ABSTRACT FROM AUTHOR]

The paper revisits the Porter-Wagner dilemma about the association between environmental management (EM) and firm performance (FP). The context of informal Micro, Small and Medium Enterprises (MSMEs) provides an interesting case since they are away from regulatory scrutiny or corporate/social obligations. The study resorts to labor productivity as the measure of FP and EM is represented by the various solid waste management practices (WMPs) adopted by the informal enterprises. Using the latest available cross-sectional data on un-incorporated firms by National Sample Survey Office (NSSO) 73rd round 2015-16, we found the positive impact of WMPs was higher in the case of more productive firms in the quantile, indicating the relevance of the Porter-Wagner dilemma. The direction of causality was further validated using the propensity score matching technique by decomposing the average treatment effect. [ABSTRACT FROM AUTHOR]

Trip-based models and activity-based models represent two extreme ends of the spectrum of travel demand models in data granularity requirement and ability to reflect the underlying motivation to travel. Modelling of representative freight activity-travel patterns (RFAPs) has the potential to serve as the bridge between these approaches. RFAP clusters represent homogeneous groups of establishments, where utility maximization models predict the probability that an establishment belongs to a particular cluster. However, it is still an open question how to define, interpret and model activity-travel patterns in the context of freight system. To answer this question, this study conducted a large-scale establishment-based freight survey (EBFS) in seven cities of India and resulted in a sample of 432 establishments and their 1613 shipment records. In the first part, this paper proposes a novel approach for identifying RFAPs based on the notion that "activities" that inspire trip-making for passenger is equivalent to "freight orders" in the case of establishments. The cluster analyses revealed the presence of three well separated main clusters and nine less separated nested clusters. Through interpretation and labelling of these RFAPs, freight travel market is categorized into useful segments. The results suggested that a priori industrial classification systems used in trip-based models are overly simplified representations of the complex structure of the travel patterns. In the last part, freight activity-travel pattern generation (FAPG) models are developed which predicts the probability that an establishment exhibits a particular RFAP. The FAPG models developed using these RFAPs could replace the traditional freight generation (FG) and freight trip generation (FTG) models due to its ability to convert the assigned activity-patterns to trips or tonnage. For example, FAPG model suggest that at an employment level of 120, there is a 56% probability that establishments will exhibit MDV-HFMH (medium duty vehicles - high frequency medium haul) pattern which, in turn, implies that FP = 1630 tons/year; shipment frequency, i.e., FTP = 8 trips/week; length of haul = 240.6 km and commercial vehicle type choice = MDV. Thus, FAPG models can present an enhanced representation of freight flows since both FG and FTG are jointly modeled in this approach. That is, the best features of both commodity-based modelling (i.e., ability to capture the fundamental mechanism that drives freight demand) and vehicle-based modelling (i.e., ability to capture freight traffic implications) are included in FAPG models. The study findings are expected to assist in identifying the variations in establishments' preferences so that it is possible to identify the type of transport supply improvements that the establishments will respond to accurately, and thus prioritize the infrastructure investments. Moreover, the discussions on these findings are expected to improve the behavioral and spatial foundations of traditional freight models. • Defines "freight orders" as logical equivalent of "household activities" that drive trip-making. • Activity based approach is used for modelling freight travel using EBFS data. • Identifies homogeneous segments of representative freight activity-travel patterns (RFAPs). • Propounds freight activity-travel pattern generation (FAPG) models based on RFAPs. • FAPG gives enhanced representations of freight flows (FG, FTG, vehicle type, haulage). [ABSTRACT FROM AUTHOR]

• A new stochastic SIRD model with imperfect immunity based on a continuous time Markov process is proposed. • We explore novel stochastic properties like the extinction and alarm time beside the infection and mortality time of a tagged case. • Theorems and recursive algorithms for the computation of the stochastic properties are presented. • An extensive sensitivity analysis reveals monotonous and unimodal tendencies for the considered stochastic indicators. • Health authorities can employ this information to achieve the best balance between health benefits and economic drawbacks. Efficient assessment of epidemic phenomena has an important role in modern epidemiology, while many novel methods propose reliable estimates for epidemic evolution in a population. In this paper, we focus on the stochastic modeling of a novel epidemiological (susceptible-infected-recovered-deceased) SIRD model with imperfect immunity based on a continuous-time Markov process adapted to the characteristics of the epidemic model. We investigate several novel stochastic properties of the SIRD scheme that are both population- and individual-oriented, such as the extinction and alert time of an epidemic, in parallel with the infection and mortality times of a tagged individual. We provide propositions and detailed recursive algorithms for computing probabilities and moments, giving additional information beyond the mean and variance of the stochastic quantities. Important remarks for representing higher-order matrices and system solving are provided, decreasing significantly the operation time of these algorithms. Extensive sensitivity analysis gives light to the influence of the system's parameters, while enhancing the validity of our methodology. Unlike other analyses that focus mainly on fitting the evolution of various diseases, our goal is to complement these studies by highlighting additional noteworthy features that determine an epidemic's future. The proposed methodology is applied on the monkeypox outbreak of 2022 in India and the first COVID infection wave in Barbados. Finally, public health authorities can use the information provided by these indicators to adjust the duration of lockdowns, accordingly, achieving the best possible balance between health benefits and economic disadvantages. Simultaneously, knowledge of mortality probabilities and timing of infection can support early coordination of hospitals and intensive care units, which could notably reduce the high risk of mortality. [ABSTRACT FROM AUTHOR]

• The stimulating role of exports is analysed in this paper through what is termed as a structurally-biased investment function where domestic demand and exports have different effects on investment rate. • There are at two central features of this investment function that have been analysed through a medium-run Kaleckian model. Firstly, exports stimulate growth through the investment channel independent of the direction of change in trade balance. Secondly, in contrast to the Bhaduri-Marglin type investment functions, the sign of profit share coefficient in investment function becomes ambiguous. • The structurally-biased investment function is tested for the registered manufacturing sector in India by conducting a panel-data exercise. It is found to be valid under alternative specifications. The coefficient for profit share is found to be statistically insignificant. • The analytical framework is used to classify export regimes into three distinct categories-BOT-improving, BOT-balancing and BOT-deteriorating. The nature of export regime of a country is argued to depend on income distribution parameters, import propensity and investment responsiveness to home demand and exports. This paper examines the relation between investment and exports through a Kaleckian model and highlights the possibility of export-induced growth process despite deterioration in trade balance. The stimulating role of exports is analysed through what is termed as a structurally-biased investment function where domestic demand and exports have different effects on investment rate. There are at least two central features of this investment function. Firstly, exports stimulate growth through the investment channel independent of the direction of change in trade balance. Secondly, in contrast to the Bhaduri-Marglin type investment functions, the sign of profit share coefficient in investment function becomes ambiguous. The structurally-biased investment function is tested and found to be valid for the registered manufacturing sector in India by conducting a panel-data exercise. The coefficient for profit share is found to be statistically insignificant after controlling for the effect of exogenous changes in exports. [ABSTRACT FROM AUTHOR]

• The paper documents developments in Indian economic performance and the role of structural change in this performance. • Manufacturing is dominated by informal labor, which has a deleterious effect on overall manufacturing performance. • Productivity growth is driven by within sector growth, with positive contributions of formal and informal activities to this. • Labor reallocation to the informal segment of the manufacturing sector is growth reducing in the Indian manufacturing sector. • A shift to more productive informal activities across sub-sectors exists, but this doesn't offset the negative within effect. This paper examines the role of structural change in India's performance, and in particular the role of the informal segment in the stagnant growth of the Indian manufacturing sector. Using counterfactual analysis – including a modified shift-share approach – the paper considers to what extent the informal sector can help explain the poor performance of Indian manufacturing over the period 1980-2011. The results suggest that the informal segment of manufacturing has been a drag on overall manufacturing productivity growth, with the informal manufacturing segment unable to provide a productivity bonus when absorbing workers from the agricultural sector. Results from the shift-share analysis indicate that labor reallocation to the informal segment of the manufacturing sector is growth-reducing, with structural change being the main source of this reduction, an effect which in turn is driven by movements of employment within manufacturing sub-sectors. [ABSTRACT FROM AUTHOR]

• Financial barrier is an encumbrance for eco-investment for firms. • The linkage between environmental behavior and credit accessibility is driven by the ownership structure. • The paper also investigates the relationship between credit access and corporate environmental behavior according to the pollution intensity of firms. Firms play a major role in facilitating green growth in developing nations by promoting environmental protection investment to control pollution caused during the manufacturing process. The paper explores whether the financial vulnerability of firms curbs their investment towards environmental practices that eliminate the creation of wastes or pollutants and hence acts as a deterrent towards green economy. Using firm-level data for manufacturing firms from 2010 to 2019, it is confirmed that financial barrier is an encumbrance for eco-investment by firms. We also focus on the environmental behavior of firms classified according to their ownership structure observing that government-owned firms (GOFs) tend to rely less on their internal and debt capital to finance their environmental investment, whereas private-owned firms (POFs) rely mainly on their internal capital. However, internal financing methods have generally no significant impact on the eco-investment decision of foreign-owned firms (FOFs). [ABSTRACT FROM AUTHOR]

Abstract: Removal of lignin is a major hurdle for obtaining good quality pulp. Leucaena leucocephala (subabul) is extensively used in paper industry in India; therefore, as a first step to generate transgenic plants with low lignin content, cDNA and genomic clones of CCR gene were isolated and characterized. The cDNA encoding CCR (EC 1.2.1.44) was designated as Ll-CCR; the sequence analysis revealed an Open Reading Frame (ORF) of 1005 bp. Phylogenetic analysis showed that Ll-CCR sequence is highly homologous to CCRs from other dicot plants. The 2992 bp genomic clone of Leucaena CCR consists of 5 exons and 4 introns. The haploid genome of L. leucocephala contains two copies as revealed by DNA blot hybridization. Ll-CCR gene was over-expressed in Escherichia coli, which showed a molecular mass of approximately 38 kDa. Protein blot analysis revealed that Ll-CCR protein is expressed at higher levels in root and in stem, but undetectable in leaf tissues. Expression of CCR gene in Leucaena increased up to 15 d in case of roots and stem as revealed by QRT-PCR studies in 0–15 d old seedlings. ELISA based studies of extractable CCR protein corroborated with QRT-PCR data. CCR protein was immuno-cytolocalized around xylem tissue. Lignin estimation and expression studies of 5, 10 and 15 d old stem and root suggest that CCR expression correlates with quantity of lignin produced, which makes it a good target for antisense down regulation for producing designer species for paper industry. [ABSTRACT FROM AUTHOR]

The impact of COVID-19 on the Global scale is tremendously drastic. There are several types of research going on across the world simultaneously to understand and overcome this dire pandemic outbreak. This paper is purely a statistical study on a distinct set of datasets regarding COVID-19 in India. The motivation of this study is to provide an insight into the rapid growth of confirmed COVID-19 cases in India. The rapid growth of COVID-19 cases in India started in March 2020. The main objective of this paper is to provide a solid statistical model for the policymaker to handle this kind of pandemic situation in the near future with nonlinear data. In this paper, the data was got from 1st April to 29th November 2020. To come up with a solid statistical model, various nonlinear data such as confirmed COVID-19 cases, maximum temperature, minimum temperature, the total population (state-wise), the total area in km2 (state-wise), and the total rural and urban population count (state-wise) have been analyzed. In this paper, six different Generalized Additive Models (GAM) was identified after a thorough analysis of other researchers' (Xie and Zhu, 2020; Prata et al., 2020) findings. In all perspectives, the results were identified and analyzed. The GAM model regarding total COVID-19 confirmed cases, total population, and the total rural population provides the best average fit of R2 value of 0.934. As the population value is quite high, the author has concise it using logarithm to provide the best p -value of 0.000542 and 0.001407 for a relation between the total number of COVID-19 cases regarding the total population and total rural population respectively. [ABSTRACT FROM AUTHOR]

Informal public transport is generally understood as transport services that are provided in absence or violation of state regulations. This paper argues that attempts to define the informality of public transport through such liberal economic lenses are insufficient in explaining the processes which lead to production of informalities. Discussing the operation of Vikrams (individually-owned and privately-operated shared autorickshaws plying on fixed routes) in Dehradun, India, this paper uncovers the multifaceted role of the state in producing and sustaining informalities in public transport provisions. It offers a more nuanced view of informality in transport studies than its commonplace understanding as a spontaneous, self-regulating, entrepreneurial aggregate. The paper argues that informality in transport studies should be understood as a heterogeneous practice that is a product of wider structural contexts situated in the politico-historical understandings of public transport in evolving spatio-temporal moments. In the case presented in this paper these include imperial legal legacies and its intersections with shifting postcolonial political economies and territorial structures. [ABSTRACT FROM AUTHOR]

An increasing number of organizations are encouraging and accepting the research information management system in the institute level to assess the research progress of the organization and bring out a report on scholarly communication activities. Open and commercial product on the Current Research Information System (CRIS) is emerging in the last decade. The Directory of Current Research Information system listed 25 CRIS system across European countries. The European Current Research Information System (euroCRIS) support the CRIS thought the European countries through the conference, working group and pioneer in the advocacy since 2002. This paper considers the recent development in the CRIS related activities around the world and recent progress in India. This paper describes the various challenges to setting up the RIM for the higher education institutions including identification of nodal officers, collecting faculty profile information, retrieving scholarly communication activities from internal and external sources, etc. Also, discuss the training programme to the nodal officer level and institute level to promote the academic identities and their importance. The paper also discusses the impact of the IRINS in the higher education system in India and its use case with different stakeholders such as students, scholars, faculty members, scientists, research administrators, funding agencies and policymakers, etc. [ABSTRACT FROM AUTHOR]

Abstract: India accounts for 4.5% of industrial energy use worldwide. This share is projected to increase as the economy expands rapidly. The level of industrial energy efficiency in India varies widely. Certain sectors, such as cement, are relatively efficient, while others, such as pulp and paper, are relatively inefficient. Future energy efficiency efforts should focus on direct reduced iron, pulp and paper and small-scale cement kilns because the potentials for improvement are important in both percentage and absolute terms. Under business as usual, industrial energy use is projected to rise faster than total final energy use. A strong focus on energy efficiency can reduce this growth, but CO2 emissions will still rise substantially. If more substantial CO2 emissions reductions are to be achieved then energy efficiency will need to be combined with measures that reduce the carbon intensity of the industrial fuel mix. [Copyright &y& Elsevier]

This paper investigates household task allocation decisions for non-work activity episodes by activity purpose and accompanying person arrangements. The paper utilizes activity-travel behavior information of all adult members (above 19 years) from a family to model the activity episodes aggregated at the household level. Such an approach gives a better perspective on the latent propensity of household members to engage in out-of-home activities. The nature (substitution or complementary) of the inter- and intra-group interaction between household and non-household members is examined using a multivariate ordered probit model estimated on activity-travel behavior survey data, consisting of 1335 households and 3639 adult individuals, collected in Bhubaneswar Municipal Region, India. The exploratory analysis sheds light on the preferences of household members for pursuing an activity episode (shopping, pure escort, other maintenance, physically active recreation, and physically passive recreation) either alone or jointly with immediate family members or non-household (extended family members or members from social circle) members. The correlation matrix consisting of 19 dimensions suggests significant inter-group substitution effects across the four accompaniment types for different non-work activities. The intra-group effects are complementary in the case of joint pursuits highlighting the likelihood of adult household members adhering to the same accompanying group. The model also suggests that the effect of individual characteristics, household socio-demographics, and seasonal and temporal characteristics are more impactful than vehicle ownership and built environment features. The study also presents the elasticity estimates of selected control variables and discusses their policy implications from a broad viewpoint. [ABSTRACT FROM AUTHOR]