Search

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]

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]

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]

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]

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]

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]

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]

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]

• The work done in this paper provides the solutions for power access to rural and remote areas in developing nations. • The proposed affordable solution offers many advantages over the traditional central inverters. It provides more output power as compared to traditional central inverters under shading and dusting conditions. The results are validated through experimental investigation with regard to Indian weather conditions. • The proposed solution presents an optimal sizing strategy for Economically Weaker Section (EWS) for the low power rural household application. In literature, this kind of solution is yet not reported which makes this work novel. • This work presents the customized design of solar microinverter based PV System for different power provisioning levels for rural EWS houses. The proposed solution has an added advantage of addition of load in future without change in existing infrastructure. Reliable power supply is the key requirement for developing nations. Most of these nations are trying to modernize the rural lives by electrification in remote areas. Access to electricity is a bare requirement in future ages. This paper discusses the challenges faced by the utility companies in ensuring sustained electricity access to the new consumers followed by the various solutions. The techno – economic aspects of the proposed solution is validated by the experimental study. Based on the results, an optimal low-cost design is proposed in order for everyone to fulfil the minimum power needs. The paper presents an optimal size strategy for Economically Weaker Section (EWS) for the low power rural household application. The solar microinverter based PV System has been designed based on the daily load needs for one of the proposed layout plans of the (Gramin) Pradhan Mantri Awas Yojna adopted by Government of India. The proposed designs are also applicable for other developing nations. The proposed micro-inverter has been tested under different operating conditions and experimental validation proves its superiority over other inverter types, particularly for a low power application, as is the case for a typical low-income rural household. Economic considerations such as payback period has also been evaluated in this study. In addition, the proposed microinverter technology has also been tested in terms of power quality parameters under various operating conditions. [ABSTRACT FROM AUTHOR]

Recently, biomass is gaining a position as a renewable energy source. Considering its availability, India is a biomass-rich country and the second-largest sugarcane producer in the world. However, shifting towards biofuel and its strategic implementation requires thorough analysis. This paper gives a detailed analysis and case studies associated with fuel blending and its environmental impacts. It proposes a novel strategy for achieving the Indian government's target of 20 % ethanol blending with petrol from sugarcane. This paper provides the modalities to decide on the proportion of sugarcane juice and, B molasses and C molasses to be used for making ethanol. Additionally, the life cycle analysis of greenhouse gas emissions is worked out. The paper uses stoichiometry relation to obtain the carbon imprint for different cases, and the results show that the carbon emission can be reduced to a more considerable extent with the proposed strategies. • Biomass is a renewable source of energy which can help for emission reduction. • The fuel blending can bring an impact on emission reduction. • Sugarcane is the major source for producing ethanol in India. • The Government of India has target to achieve 20 % ethanol blending by 2025–26. [ABSTRACT FROM AUTHOR]

This paper centers last-mile distribution networks of cable television as a prism to analyze the political-economic, socio-spatial, and subjective transformations brought about by neoliberal reforms in India. I provide an on-ground perspective of enterprise culture and entrepreneurial citizenship based on an ethnography of Mumbai-based last-mile distributors of cable television also called cablewallahs. In the wake of their disempowerment in the television distribution value-chain, cablewallahs represent themselves as entrepreneurs at the core of India's digital economy. I combine insights from enterprise culture scholarship, television studies and anthropologies of masculinity, to shed light on this enactment in the paper. I demonstrate that cablewallahs configure their citizenship as 'entrepreneurial' by aspiring to middle-class valorised notions of respectability and civic duty and sustaining their last-mile networks through intimate knowledge of clientele, networks of male conviviality and vernacular solidarities. I argue that in Mumbai, entrepreneurial citizenship emerges as a useful gendered subjective disposition for navigating socio-economic marginalization and subjective-material changes in neighbourhood identity brought about by neoliberalization. [ABSTRACT FROM AUTHOR]

Mortality statistics are fundamental to understand the magnitude of the COVID-19 pandemic. Due to limitation of real-time data availability, researchers had used mathematical models to estimate excess mortality globally during COVID-19 pandemic. As they demonstrated variations in scope, assumptions, estimations, and magnitude of the pandemic, and hence raised a controversy all over the world. This paper aims to review the mathematical models and their estimates of mortality due to COVID-19 in the Indian context. The PRISMA and SWiM guidelines were followed to the best possible extent. A twostep search strategy was used to identify studies that estimated excess deaths from January 2020 to December 2021 on Medline, Google Scholar, MedRxiv and BioRxiv available until 0100 h, 16 May 2022 (IST).We selected 13 studies based on a predefined criteria and extracted data on a standardised, pre-piloted form by two investigators, independently. Any discordance was resolved through consensus with a senior investigator. Estimated excess mortality was analysed using statistical software and depicted using appropriate graphs. Significant variations in scope, population, data sources, time period, and modelling strategies existed across studies along with a high risk of bias. Most of the models were based on Poisson regression. Predicted excess mortality by various models ranged from 1.1 to 9.5 million. The review presents a summary of all the estimates of excess deaths and is important to understand the different strategies used for estimation, and it highlights the importance of data availability, assumptions, and estimates. [ABSTRACT FROM AUTHOR]

This paper examines the consequence of affirmative action for a "middle" ranked group on equity and the leader's overall performance or "efficiency." The literature on electoral quotas is invested in the equity question for disadvantaged groups, but is mostly silent on this issue. We use a randomized electoral quota for an intermediately ranked caste group (OBCs) in a large state in India to show that overall, such a quota does not affect delivery of public projects, or redistribute projects away from disadvantaged groups (SC/STs). Moreover, we show that when the group is large, the quota may in fact improve leader's performance. The improvement in overall performance does not come at a cost of lower allocation to the most disadvantaged group. We argue and provide suggestive evidence that when the group is large, such a quota for the group increases within-group electoral competition in villages. The result highlights that "efficiency" concerns regarding affirmative action may need reevaluation. It further justifies the targeting of electoral quota policy in India towards jurisdictions where the group is numerous. [ABSTRACT FROM AUTHOR]

• Orchids constitute one of the largest families of flowering plants. • The exotic beauty, aromatic, and long-lasting qualities of orchids make them highly prized flowers. • This paper showed vanda stangeana and Phalaenopsis hygrochila were compatible for hybridization. • Our findings shows MS medium at half-strength without any plant growth regulators gave best response in seed germination of V. stangeana x P. hygrochila. • Molecular markers like SSRs and SCoT could be used for quick and easy confirmation of orchid hybrids. Vanda stangeana Rchb. f. is an endemic species of Manipur, India. Its flowers are greenish-yellow, 5 cm in size with a pink mid-lobe, tessellated in chestnut brown color and tough texture with a long shelf life. Phalaenopsis hygrochila J.M.H. Shaw is a large-sized, hot to cool growing, epiphytic orchid with sturdy, 20 to 40 cm, more or less flattened stem with elliptic-oblong leaves. The flowers are fragrant, pale greenish yellow, more or less dotted with brown or brown-red, with a whitish or white base, waxy, long-lasting, up to 6 cm in diameter, column white, labellum slightly purplish purple, paler towards the margins. Both plants are included under CITES' Appendix II. The current study concentrates on a hybridization program involving two vandaceous orchid genera, namely Vanda stangeana and Phalaenopsis hygrochila to investigate their cross-ability and molecular confirmation of the synthesized hybrid using SSR and SCoT marker system. MS medium at half-strength enriched with 0.5 mg/L NAA + 0.5 mg/L Kn was the optimal medium for the development of the synthesized hybrid seedlings with the longest shoot (2.6 cm), the maximum number of leaves (4.5), leaf length (2.5 cm) and highest number of root (4.4) after 150 days of culture on the medium. In total, 65 amplified bands were revealed by seven SCoT primers (SCoT4, SCoT6, SCoT9, SCoT10, SCoT34, SCoT35 and SCoT36), of which 38 (58.46%) were polymorphic with the percentage ranging from 22.22% to 85.75%, thereby convincingly demonstrated the hybridity. Out of 8 pairs of SSR primers used, 3 primers (C106, MOK26 and C268) showed complementary banding patterns. Our study demonstrated that an intergeneric hybrid can be successfully produced by the hybridization of vandaceous orchids belonging to two different genera. [ABSTRACT FROM AUTHOR]

This research study is one of the significant to offer an inclusive investigation of the impact of green finance correlated policies by applying text analysis approach and panel data from 28 states and 8 union territories between 2010 and 2020. The paper uses the SDID and illustrates that overall, India's green finance associated with policies have directed a substantial decrease in industrial CO 2 emissions during the study period. Furthermore, the paper determined that the Fintech growth pays to the reduction of SO 2 (sulfur dioxide) emissions and positively influences environmental safety and investment enterprises. India is a great competitor worldwide in green finance strategy operation, and controllers need to accelerate the design of green finance products and boost the volume of financial institutions to provide green credit facilities. Though minimalizing the risk fintech stances, policymakers should inspire fintech's to take part in environmental quality protection inventiveness that encourages green consumption actively. [ABSTRACT FROM AUTHOR]

The World Wide Web Consortium (W3C) has provided the most important set of guidelines for web accessibility which is popularly known as Web Content Accessibility Guidelines (WCAG). The accessibility analysis of higher education websites becomes paramount important to make them inclusive considering the growing number of enrollments of persons with disabilities (PwDs) in higher education, in countries such as India. This paper presents the accessibility analysis of higher education websites with the case study of college websites (N = 44) affiliated with the University of Kashmir and Cluster University Srinagar. The study has been carried out with two major accessibility evaluation tools called web accessibility test, denoted as TAW and the accessibility engine powering browser extensions called the accessibility engine, denoted as aXe. This paper lists the major accessibility barriers exposed by these sites in terms of metrics such as a number of problems, warnings and a status of success criteria violations. With respect to TAW tool, a number of problems observed were 2646, a large number of warnings to the scale of 15995 and the not reviewed items were 1356. With aXe tool, the total violations observed were 1951 and items needing review were 1733. Findings of the statistical analysis are also presented in this paper. This paper presents a roadmap of steps for making these websites inclusive and barrier-free for PwDs. [ABSTRACT FROM AUTHOR]

• This paper examines land formalization in the former enclaves of India inside Bangladesh. • Drawing on ethnographic research methods, it sheds light on the ambiguities of land ownership and negotiations. • It offers a lens of flexible land to comprehend such ambiguities. • It argues that attention must be paid to legibility, sovereignty, and negotiation in a post-colonial context. The former enclaves of Bangladesh and India existed as de facto stateless spaces for almost seventy years before they were exchanged and merged with the host state territories in 2015. Because of their extra-territorial existence, land ownership and transactions remained effectively a local affair in the enclaves. After the exchange, however, enclaves became regular parts of the state territory, and the host state officially recognized private ownership of enclave land. Drawing on fourteen months of ethnographic research in India's ex-enclaves inside Bangladesh, in this paper, I shed light on the complex and multi-layered process of land formalization. As such, I offer a lens of flexible land to comprehend how the state and the citizens employ numerous resources and tactics in claiming and formalizing land that becomes the simultaneous reasons and results of its flexibility. In so doing, I argue that the key to our understanding of flexible land lies in an attentive reading of legibility, sovereignty, and negotiation in a post-colonial context, especially in South Asia. Thus, flexible land becomes an innovative lens, explained and developed throughout this paper, to address how flexibility functions as an embodiment of land formalization for the citizens and the state in the former enclaves of India inside Bangladesh. [ABSTRACT FROM AUTHOR]

• Builds an analysis of 'political crops' under contemporary capitalism. • Explains the political ecology of cotton and paddy in the Indian Punjab. • Focuses on labour relations and market structure of the two crops. • Analyzes the nature of change in agrarian capitalism in the Indian Punjab. Unlike the rest of the state of Punjab in India, cotton remained the dominant monsoon crop in the southwest region till the 1990s. As it has been increasingly replaced by paddy in recent decades, this paper asks what this shift in cropping pattern reflects about the state's agrarian capitalism. Towards an analysis of this question, it builds on James Scott's idea of 'political crops' in the earliest states and places it in conversation with scholarship in critical agrarian studies, political ecology and commodity studies to account for relations of power under contemporary capitalism. Drawing on intensive primary research in the region, the paper contrasts the power relations generated by the production and circulation of the two crops. It shows that larger farmers are more likely to cultivate paddy due to better access to irrigation, and that the shift to paddy is threatening to make redundant the labour of landless Dalit women, who do cotton-picking, and increasing dependence on migrant male labour for paddy-transplanting. It also demonstrates how the different end uses of the two crops and the predominance of the private sector in the cotton markets versus the hitherto state-led nature of the paddy markets produce differential risks for farmers and traders. The paper concludes by suggesting that the shift from cotton to paddy represents capital intensification in response to Punjab's mature capitalist conditions in agriculture but also results in new contradictions and axes of political struggle. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are among the most revolutionary breakthroughs by the context of decarbonization of road transport. The adoption of EVs has drawn increasing attention and is currently considered a potential route towards sustainable transportation. Businesses approaching the EV market must establish lucrative business models that overcome the adoption obstacles for EVs while assuring long-term growth. The intent of the current research exploration is to create a cutting-edge framework for EV enterprises that aims to maximize profit and save delivery time leading to high customer satisfaction. The volume discount strategy is used for profit escalation. The model presented in this paper is highly adaptable for a real-world problem as it incorporates uncertainty in the EV industry through generalized triangular neutrosophic numbers, an extension of fuzzy numbers. A modified version of the neutrosophic compromise programming approach is proposed in this paper. The results from this approach are validated using genetic algorithm. The proposed optimization-based framework is encapsulated in the form of study of a case from Bangalore city, in India. An in-depth exploration of two cases along with sensitivity analysis is carried out that helped in prioritizing some discrete customers and gave insights on which manufacturing site should be designated more focus. • Profit maximizing business model for electric vehicle (EV) merchants is proposed. • Uncertainty in EV industry is captured using fuzzy number. • A modified neutrosophic compromise programming technique is proposed. • Case study is considered involving particular case and sensitivity analysis. [ABSTRACT FROM AUTHOR]

Medical travel and transnational healthcare involve various difficulties such as the distance and disconnect between patients and healthcare providers, language barriers or logistical challenges of moving ill bodies across space. Medical travel facilitation steps in with some sort of brokerage service that contributes to overcoming or managing these difficulties and, as this paper suggests, acts to create a quality of 'smoothness'. By unpacking three salient facilitation practices, namely connecting, communicating, and coordinating, this paper conceptualises the empirically derived category of 'smoothness'. This as a disposition, outcome, and spatio-temporal manoeuvre of medical travel facilitation. Based on the way in which such practices of mediation act to create smoothness, namely in an attentive, persistent, and collective tinkering manner, this paper suggests that some practices of medical travel facilitation are productively thought not just about setting up the possibility of care transnationally, but that they are key forms of care in itself. Based on these findings, smoothness is considered to be a central but also contested quality of medical travel facilitation and brokerage in a broader sense, but as proposed here, also for care. This conclusion potentially has implications not just for the study of transnational healthcare and mediation activities, but also that of care and transnational mobilities more generally. • Medical travel facilitation creates smoothness in mediating transnational healthcare. • Conceptualising smoothness as a disposition, outcome and spatio-temporal manoeuvre. • Brokerage and an STS-take on medical travel facilitation and care. • Smoothness as a quality of medical travel facilitation, brokerage and possibly care. • Medical travel facilitation between Oman and India. [ABSTRACT FROM AUTHOR]

The Madden-Julian Oscillation (MJO) is an important tropical atmospheric phenomenon that plays a significant role in modulating weather patterns across India. Heat Waves (HW) are extreme weather events that have severe impacts on human health, agriculture, and various socio-economic sectors. This research paper aims to investigate the dynamical relationship between MJO phases, as measured by the Real-time Multivariate MJO (RMM) index, and the occurrence of HW in India, as defined by the Indian Meteorological Department. This paper demonstrated the relationship among three aspects, i.e., intensity, duration, frequency of HW during the different MJO phases. The differential dynamics associated for about two-fold rise in the HW occurrence in the South East, Eastern and North West India in the MJO active phase. Inactive phase witnessed enhancement (suppression) of HW during wet (dry) over the regions. The novel finding of this paper is that, the weaker the MJO, the higher probability of HW occurrence in respective regions depending on the position of the MJO convection center. The maximum duration is observed to be significantly decreased by about 2 days in the active MJO phase over NW and north central parts of the country. It is also inferred from this study that there is a significantly decrease of 0.5 °C in HW intensity during the active wet phase of MJO over the NW India. To explain the linkage of HW with MJO, geopotential height (GPH), wind circulation, velocity potential (VP), sea surface temperature (SST) and outgoing longwave radiation (OLR) composite anomalies have been computed and used in the analysis. It is observed that all these parameters have a direct impact on the evolution, strength and spread of the HW in India. This dynamical study mechanism can be prescribed in the numerical weather prediction models for the improved prediction of such extreme weather events during summer for proactive disaster management. Spatial distribution of change in probability of Heat Wave occurrence during all phases of MJO (phase 1 to 8) over the Indian region for the period 1979–2022. [Display omitted] • Relationship between MJO phases and intensity-duration-frequency of Heat Wave in different regions of India is explored. • Weaker the MJO (inactive phase), higher probability of HW occurrence with increased intensity and duration in wet phase. • The HW over north western Indian region are mainly driven by Rossby wave train in the wet phase of MJO. [ABSTRACT FROM AUTHOR]

Caste is a unique marker of social stratification in India. There are significant eco- nomic inequalities and considerable disparities in educational achievements between historically disadvantaged caste groups and Others. Unequal investments in their chil- dren's human capital by caste can perpetuate income inequalities and reproduce class differences between caste groups. This paper analyses caste-based disparities in house- hold expenditure on children's school education using nationally representative social expenditure data on education from 2007–08 and 2017–18 in India. The paper uses a recentered influence function (RIF) based decomposition analysis to pinpoint the key factors underpinning the disparity in private educational expenditure between disadvantaged caste groups and Others. Further, to overcome the problem of heterogeneity of data the study also employs propensity score matching (PSM) as robustness check for the decomposition analysis. The findings from decomposition and matching approaches reveal that differences in endowments, specifically income differences, between caste groups explain most of the caste-based gap in children's human capital investments. The study has implications for public policy to address educational and economic disparities between disadvantaged caste groups (ST, SC and OBC) and Others in India. [ABSTRACT FROM AUTHOR]

• The paper examines the effect of social identity on learning for adults under a hierarchical social setting. • Using primary data from a randomized controlled experiment in India where illiterate adult female learners were randomly assigned to a free technology-based literacy program, we found positive and significant impact of matching an upper caste teacher with a lower caste student on literacy scores. • We find suggestive evidence of an increase in students' confidence measures when matched with an upper caste teacher. The paper examines the effect of social identity on adult learning within a hierarchical social setting— an important yet often understudied issue for effective adult education. We leverage the random matching of students and teachers from a randomized controlled experiment in India, where illiterate adult female learners aged 18–45 were randomly assigned to a literacy program. We find a positive and significant impact of matching an upper caste teacher with a lower caste adult student on literacy scores. We also find suggestive evidence of an increase in students' confidence measures when matched with an upper caste teacher, indicating a plausible impact mechanism. Our findings highlight the need for future research on social identity and its influence on adult learning, particularly in countries with existing deep-rooted hierarchical social constructs. [ABSTRACT FROM AUTHOR]

This paper delves into the integration of Industry 4.0 technologies in the manufacturing sector, providing a framework tailored for adoption in India, a rapidly advancing digital economy. The current literature does not go into detail on industry 4.0 technology in the context of agile manufacturing. Addressing this critical gap in the literature, we identify 15 criteria across six categories, leveraging the entropy method to compute their weights. We prioritize Industry 4.0 technologies in the context of agile manufacturing using a comprehensive analysis that employs the TOPSIS and Fuzzy DEMATEL methodologies. Results indicate that cybersecurity, Cloud, and the Internet of Things (IoT) are the most commonly used technologies in agile manufacturing. The fuzzy DEMATEL-based framework identifies cybersecurity, Big data, Cloud, simulation, augmented reality, and IoT as 'cause' technologies, while additive manufacturing, robotics, mobile devices, and systems integration are identified as 'effect' technologies. The paper proposes practical strategies for managers in India to facilitate the adoption of Industry 4.0 technologies, thereby enhancing firms' agility in the digital age. By highlighting the specific technologies critical to agile manufacturing, our study not only addresses a notable gap in the literature but also provides a roadmap for their practical implementation, empowering businesses to thrive in an increasingly digitalized landscape. [ABSTRACT FROM AUTHOR]

Despite growing health concerns and increasing water scarcity, adequate wastewater treatment and reuse remains limited in India. Low-cost, decentralised, and nature-based on-site sanitation systems could play a key role in a circular water approach. This paper evaluates the performance of a Wastewater Fertigated Short Rotation Coppice (wfSRC) system based on willow, poplar, and bamboo species as a potential solution, offering low-cost, efficient water treatment, and high biomass production. Through a full-scale wfSRC pilot plant (250 m3·day−1 municipal wastewater on 6864 m2) established at Aligarh Muslim University, Uttar Pradesh, India, treatment capacities, biomass production rates, and contamination tolerance of different willow, poplar, and bamboo species were investigated. The chemical compositions of incoming wastewater, percolation water, soil, and biomass were monitored regularly. Despite the high load, all plant sections of the wfSRC system showed efficient removal of wastewater-originated pollutants. BOD5 and COD removal efficiencies were up to 99% and 95% respectively. Removal efficiencies for PO4-P reached 93% and for TN 91%. In general, total nitrogen and phosphate loads appear to be the limiting design parameters under the conditions at Aligarh to meet all discharge limits in India. Biomass production was projected to be >225 tDM·ha−1·yr−1 for bamboo, 65 tDM·ha−1·yr−1 for willow, and 206 tDM·ha−1·yr−1 for poplar. The pilot, conducted from March 2022 to June 2023, showcased how these densely planted agroforestry systems can effectively treat wastewater through natural processes such as oxidation, microbial degradation, and plant uptake. The findings demonstrate wfSRC's potential to serve as a nature-based, sustainable approach to wastewater treatment, particularly beneficial for suburban and rural areas in India and similar regions worldwide. This paper also provides recommendations for future implementation of wfSRC systems, emphasizing the need for careful planning regarding plant selection, system design, and operational strategies to maximize treatment efficiency and biomass production. [ABSTRACT FROM AUTHOR]

• Study analyzes 1374 papers on sensitivity analysis in Scopus. • RStudio, CiteSpace, and VOSviewer are used. • China has most articles published; India leads in international cooperation. • Top three cited journals: J. Clean. Prod., Expert Syst. Appl., and Comput. Ind. Eng. • Most cited authors are Pamučar D, Kahraman C, and Zavadskas EK. In the present era, the implementation of scientifically grounded Multi-Criteria Decision Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges across various domains. Although a substantial body of exploratory, conceptual, and experimental studies exists, only 9.457% studies have incorporated sensitivity analyses to assess the robustness of MCDM methods. An exhaustive scientific exploration of sensitivity analysis within the scope of MCDM is thus lacking. This research aims to address this gap through Bibliometric Analysis while examining 1374 articles published between January 2000 and March 2023 from the Scopus database. Using RStudio (Biblioshiny), CiteSpace, and VOSviewer software, the study constructs a visual representation of the most prolific countries, institutions, and authors. Impressively, China takes the lead in article publications, while India excels in international collaboration. "An extended TODIM multi-criteria group decision-making method for green supplier selection in an interval type-2 fuzzy environment," featured in the Journal of Environmental Management, emerges as the most cited paper with a total citation of 455. The study also identifies the top three most cited journals, namely "Journal of Cleaner Production," "Expert Systems With Applications," and "Computers and Industrial Engineering." "North China Electric Power University" is the leading institute with the highest research outputs. "Pamučar D" is the most cited author, with 2594 citations and 39 articles, followed by "Kahraman C" and "Zavadskas EK. This study sheds light on trends in scientific developments and collaborations, providing a model for the application of sensitivity analysis in MCDM research and highlighting global trends. An understanding of the current state of sensitivity analysis research can assist researchers working in the entire domain of MCDM. Additionally, the visualization provides prescriptive data for future work and applications related to sensitivity analysis. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between financial development and access to electricity for rural and urban India by incorporating economic growth, trade, and foreign direct investment in energy production function. In doing so, we have applied autoregressive distributed lag bounds testing to examine long run cointegration between the variables by accommodating structural break(s) stemming in the series. Our empirical results indicate the presence of cointegration association between access to electricity and its determinants. We note that financial development enhances access to electricity in rural India but declines it in urban India. Economic growth has positive effect on access to electricity. Trade openness and foreign direct investment lower access to electricity in rural India. In urban India, trade openness and foreign direct investment increase access to electricity. The association between financial development and access to electricity is inverted-U shaped for rural and urban India. This paper would present new policy direction for Indian government to enhance access to electricity by using financial development as an economic tool. • Financial development and access to electricity have a strong linkage. • In India financial development enhances access to electricity in rural area but has adverse effect in urban area. • Rise in economic growth of India has increased the access to electricity. • Growth of Trade Openness and Foreign Direct investment increase access to electricity. [ABSTRACT FROM AUTHOR]

Liver transplant surgery has been performed in India for the last 25 years. We aimed to analyse the trends, characteristics, and key elements in the field of liver transplantation research from India. On April 23, 2023, we conducted a search of the Scopus database for the literature on liver transplantation research, using a well-defined search strategy. MS Excel and VOS viewer software programs were used to examine the articles for organisation, author, journal, keywords, and high-cited literature. This analysis examined a total of 556 papers, which constituted only a 1.55% share of the global output. These papers involved 442 organizations, 1575 authors, and 147 journals. External funding was received in 4.13% and 23.56% were involved in international collaboration. Three Delhi-NCR organizations, namely the Medanta–The Medicity (n = 63), Institute of Liver & Biliary Sciences (n = 60), and Indraprastha Apollo Hospital (n = 48) led in publication productivity. M. Rela (n = 90) and A.S. Soin (n = 63) were the leading authors in publication productivity, while S. Sudhindran and P. Bhangui were the most impactful authors. Liver Transplantation (n = 96) and Journal of Clinical & Experimental Hepatology (n = 65) published the maximum number of these papers, whereas, Annals of Surgery and Journal of Hepatology led in the citation impact per paper. The most significant keywords were "Liver Transplantation" (n = 484), and "Living Donor" (n = 254). Only 1.80% (n = 10) of the papers were highly cited papers that received 50 to 142 citations and they together registered 69.9 citations per paper. Although the number of publications on liver transplantation from India started growing recently, it forms only 1.55% of the global report. There is an unmet need to increase government-supported research and multicenter collaborative studies at national and international levels for high-quality patient care. [Display omitted] • A total of 556 papers on liver transplantation research from India constitutes a 1.55 % share of the global output. • This is the first comprehensive bibliometric analysis of India's liver transplant research over the last 25 years. • Delhi-NCR authors and institutions were the leaders in this area of research. • There has been a continuous rise in publications, with the maximum surge seen in the last decade. [ABSTRACT FROM AUTHOR]