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In recent years in India, fly ash-lime-gypsum (FaL-G) brick production has been adversely affected by the scarcity of fly ash and lime. Consequently, the current study aims to mitigate this problem. It delves into leveraging incinerated paper mill sludge ash (IPMSA) as a supplement to fly ash and lime in FaL-G brick production, aiming to present an eco-conscious alternative to conventional burnt clay bricks. It focuses on two blends: blend 1, replacing fly ash with IPMSA (2.5–30 wt%), and blend 2 substituting lime entirely with IPMSA (2.5–15 wt%). A thorough material analysis preceded brick manufacturing, involving techniques like energy-dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy, thermogravimetry differential thermal analysis, scanning electron microscopy, and X-ray diffraction spectroscopy. Subsequent tests evaluated compressive strength, water absorption, weight density, percentage of voids, initial rate of suction and chemical resistance of the resulting bricks. According to the XRD results, the higher IPMSA levels didn't induce any phase transformation. Remarkably, bricks incorporating IPMSA in blend 1 (2.5–20 wt%) and blend 2 (2.5–7.5 wt%) met the mechanical properties specified for 'class 10' bricks according to Indian and ASTM standards. Incorporating IPMSA increases the porosity of bricks, making them lighter. This aids in minimizing construction expenses by reducing labour and transportation costs as well as lowering expenditure on foundation construction. This sustainable approach efficiently uses resources, reduces landfill wastes, shows potential for industrial-scale production, making eco-friendly bricks a promising alternative to traditional methods and promoting greener construction practices. • Ecofriendly FaL-G bricks were developed using incinerated paper mill sludge ash (IPMSA). • Reusability of IPMSA in FaL-G brick production poses both economic and environmental benefits. • Use of IPMSA in FaL-G brick production reduces landfill waste and addresses waste management issues. • IPMSA is suitable for up to 20 wt% for fly ash and 7.5 wt% for lime in FaL-G brick production, meeting relevant standards. [ABSTRACT FROM AUTHOR]

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]

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]

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]

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]

• 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]

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]

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]

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]

Fungal diseases are a serious threat to Eucalyptus spp., which are cultivated worldwide for pulp and paper. Robust and timely detection of Eucalyptus pathogens is thus a crucial step in disease prevention and control. In 2022 , leaf spots were observed on Eucalyptus trees in Karnal, northern India. Fungal isolates displaying morphological characteristics similar to Neofusicoccum mangiferae were consistently recovered from the infected leaves. The morphological identification was validated by phylogenetic analysis employing internal transcribed spacer (ITS), partial translation elongation factor-1α (tef1) and partial β-tubulin (tub2) regions. Finally, Koch's postulates for N. mangiferae as a foliar pathogen of Eucalyptus were fulfilled. This is the first confirmed report of N. mangiferae affecting Eucalyptus trees in India. [Display omitted] • This study first time reports Neofusicoccum mangiferae as a foliar pathogen of Eucalyptus in India. • The pathogen was identified based on microscopic features, multilocus phylogenetic analysis and pathogenicity tests. • This is a new taxonomic addition to the diversity of Botryosphaeriaceae affecting Eucalyptus in India. • This study provides future directions to decipher the diversity of Neofusicoccum spp., their host range and testing of Eucalyptus germplasm for disease-resistance. [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]

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

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]

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]

In this article, we analyse India's transport sector policy. The study examines the two important modes of transport, viz., road and rail, and analyses the efficiency of transport infrastructure from 2011 to 2019. Through Data Envelopment Analysis (DEA), we evaluate modes in terms of the capacity of registered road goods vehicles and railway goods wagons, truck km/train km and energy consumption and corresponding freight traffic. The analysis gives valuable insight into the fact that rail infrastructure is more efficient than road infrastructure. Still, current transport sector policies promote energy-intensive carbon-fuel road vehicles rather than energy-efficient alternative transport modes. The study suggests the changes that may be incorporated in inputs to improve the efficiency of the road infrastructure. The Data Envelopment Analysis (DEA)-Malmquist Index analysis reports the need for total factor productivity improvement in rail transport and the introduction of technological innovations in road and rail transport sector management. The study employs a well-to-wheel (WTW) based index to ascertain the energy consumed and pollutants emitted by freight-carrying road and rail modes between two leading business hubs of India, i.e., Ludhiana and Mumbai. The paper identifies policy gaps and suggests a holistic approach for need-based roadway investment and a time-bound development of railway infrastructure in India. Our study generates valuable implications for India's policy planners and government authorities and provides new insights to other countries. • The study examines road and rail transport, and analyses the efficiency and energy consumption of these modes. • The study suggests the changes to improve the efficiency of the road infrastructure. • The Data Envelopment Analysis (DEA)-Malmquist Index analysis and well-to-wheel (WTW) based index have been employed for the analysis. • The paper suggests a need-based roadway investment approach and a time-bound development of railway infrastructure. [ABSTRACT FROM AUTHOR]

Oral submucous fibrosis (OSF) affecting populations is considered a public health issue in South/Southeast Asia. The purpose of this study was to analyze the scientometric characteristics and research trends of OSF. All the papers on OSF were comprehensively retrieved from the Scopus database. Regional comparison (India versus outside of India) and chronological comparison (before 2015 versus after 2015) were performed. Among all the 1357 papers on OSF, 930 (68.5%) were from India. In India, biology research on antioxidant, oxidative stress, angiogenesis, and extracellular matrix were distinctive keywords. Risk factors of smokeless tobacco and gutkha and the roles of saliva and blood sampling were also distinctive keywords in India. In outside of India, biology research on myofibroblast, alpha smooth muscle actin, microRNA, long untranslated RNA, and protein p53 were distinctive keywords. The trend of biology research on connective tissue, genotype, genetic predisposition, messenger RNA, and cytology before 2015 has changed to research on myofibroblast, biological marker, microRNA, epithelial mesenchymal transition, extracellular matrix, and oxidative stress after 2015. The trend of clinical aspects of surgery and mouth hygiene before 2015 has changed to the aspects of adverse event/effects, complication, and quality of life after 2015. This scientometric study elucidated the current scenario and research trends of OSF, and would help in improving in reciprocal collaboration and communication for this disease control in South/Southeast Asia. [ABSTRACT FROM AUTHOR]

The regional coverage satellite constellations are in demand for fulfilling earth observation needs of specific user regions of interest as opposed to global coverage thus enhancing the revisit period for the area. In this paper, we present a few key mission aspects of the regional coverage constellation designed and operated by the Indian Space Research Organization (ISRO) in low earth orbit. ISRO developed three X-Band Synthetic Aperture Radar (SAR) Earth Observation satellites and placed them in three inclined orbit planes to enhance the Indian region's coverage. This is India's first inclined orbit constellation designed for remote sensing applications in low earth orbit. The satellites were built around a standard bus carrying a Synthetic Aperture Radar payload with a deployable Radial Rib Antenna (RRA). They were designed to achieve a high agility capability. As SAR sensors are capable of all-weather, day, and night imaging; thus, most suitable in inclined orbits where the illumination conditions vary continuously for imaging. Though the inclined orbits provide more revisit opportunities to the region of interest, their characteristics pose challenges in mission design and operations. Though the mission design and planning involved a host of elements, this paper brings out the details of a few key mission analysis elements, planning aspects and operations that were critical in the course of various mission phases. The mission analysis included mission-specific requirements like launch windows selection for the constellation and reference attitude generation specific to inclined orbit geometry. Mission planning had to take care of Radial Rib Antenna (RRA) deployment requirements which were very critical for the mission, apart from taking care of individual subsystem requirements. The SAR payload data product quality and targeting accuracy are very sensitive to the satellite image point range (vis-a-vis SAR operation data window). Extensive post-launch calibration activity was carried out to meet all these mission requirements and data product specifications. The challenge was in fixing the payload beam alignment and fixing the uncertainties in onboard and ground computations. The paper also describes the methods of fixing all possible error sources affecting the high-resolution SAR payload performance. • The regional coverage satellite constellations are in demand for area targets coverage. • Inclined orbit constellations are more suitable for regional coverage using SAR sensors. • Mission operations plans need to consider all the specific requirements of spacecraft systems. • Pre-launch and post -launch calibrations of sensors is mandatory for achieving system performance. [ABSTRACT FROM AUTHOR]

Secondary and High School students are usually adolescents, most of them in the urban areas and metropolitan cities are aware about the existence, various opportunities, career paths and advancements of the space industry. They are constantly updated, given they have access to quality and organized education models and a competitive environment. Although, the students in the rural areas who are equally ambitious and talented yet are not fortunate enough to have access to the state of art facilities like the counterparts. Even if they try and gain access with their self-interest, they do not have the motivation to sustain the passion, given their lack of clarity in subject, lack of awareness about engaging in various ways and fields in space other than technological related and mainly lack of driving force. The purpose of this paper is to develop and present an education model, exclusively for the high school students of the rural areas and inculcate sustainable passion for space. As opposed to the primary school students, the secondary school students have a consciousness of the space industry. This paper will talk about various plans and strategies, that will allow them to gain exposure, guide them about the existence of different career paths which are not entirely technological related, yet are still essential in the space like, administrative framework for example. This opens a new dimension in their brain helping them realize how they can be part of the industry in countless ways, and this shall assist them in being on the right track to space. In addition to, hosting creative space themed exhibitions, fun and engaging model design competitions, workshops, all of these would widen their knowledge boundaries and help them challenge their skills. A real time case study example from a school located in the rural southern of India shall be focused on this paper. Including data from a survey thereby the results, with action plans shall be presented in detail, which will aid in the analysis of the need, feasibility, and long-term sustenance of this approach and the requirement to scale it over different rural areas globally. • Need for improvised education models in rural areas elucidated, with data collection. • Data analysis and correlation of space education awareness, for high school students across two geographical locations. • Readily executable action plans age groupwise, for real-time education models in remote areas globally. [ABSTRACT FROM AUTHOR]

The Asian Financial Crisis during the late 1990 s revealed the fault lines of foreign currency loans of corporates. It starkly demonstrated that a combination of semi-pegged exchange rates and unregulated foreign currency borrowing could expose corporates and, subsequently, the entire economy to heightened vulnerability. To mitigate these risks, implementing certain capital account restrictions emerged as a potential remedy. Against this backdrop, this paper investigates the changing contours of vulnerability arising from the rising foreign currency leverage of 818 non-financial corporates in India during 2004–2022. In particular, this paper examines the impact of exchange rate shocks and changes in certain key macroeconomic policy variables on the financial vulnerabilities of these firms. Our findings unequivocally indicate that during exchange rate depreciation, unhedged exposures significantly amplified the vulnerability of Indian firms. While our study centres on India, the overarching conclusions and insights derived from our analysis possess broader ramifications for emerging economies grappling with capital account restrictions. The policy implications of our research underscore the need to proactively strengthen the macroprudential toolkit to address the risks associated with foreign currency borrowing and ensure more robust risk management practices to prevent the buildup of systemic vulnerabilities. [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]

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]

• 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]

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]

• Cyclicality in aggregate productivity predicts the efficiency of resources reallocation. • Aggregate productivity growth originates from within-plants, allocative efficiency gain, and due to entry and exit. • We exploit the Great Recession to analyse the validity of the 'Cleansing' or 'Scarring' effect of recession and 'Schumpeterian Darwinian Selection' for Indian manufacturing. • The contributions to aggregate productivity growth from within-plant and net-entry effects are procyclical. • Plants in export-oriented industries are crucial in explaining the pro-cyclicality. • The exporting sectors during 2008-09 shifted resources from more productive to less productive plants. • The relatively productive exporters exited the markets following the global crisis, scarring the economy. • The positive contribution from the net-entry exit effect of plants during the economic downturn validates the 'Schumpeterian approach of Darwinian Selection'. Understanding the cyclicality in aggregate productivity helps answer whether the economy allocates resources efficiently or not. The paper analyses the sources of aggregate productivity growth, such as direct efficiency gain within-plants, allocative efficiency gain, and gains due to entry and exit during economic fluctuations. In particular, we exploit the economic shock of the Great Recession to analyse the validity of the 'Cleansing' or 'Scarring' effect of recession and 'Schumpeterian Darwinian Selection' for Indian manufacturing. The rise and fall of within-plant and net-entry effects during the economic fluctuations explains the pro-cyclicality of productivity growth. Plants in export-oriented industries are crucial in explaining the pro-cyclicality. Negative external shock to exporting sectors during 2008–09 shifted resources from more productive to less productive plants. The relatively productive exporters exited the markets following the global crisis, scarring the economy. Nonetheless, the positive effect from the net-entry exit of plants during the economic downturn makes the 'Schumpeterian approach of Darwinian Selection' valid. [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]

• First record of Miocene large-sized vertebrate coprolites from the western India. • Geochemical analyses confirm phosphatic character of ichnofossils. • Biotic inclusions confirm omnivorous diet of the chelonian producer. • Overall data suggest coprolites were deposited in coastal marine settings. In this paper, we provide the first data on large (cm-sized) coprolites (represented by three morphotypes) comprising a rare occurrence of eight specimens from a total of three vertebrate-bearing horizons identified within the Early Miocene (Aquitanian) Khari Nadi Formation and Middle Miocene (Burdigalian-Langhian) Chassra Formation, Kutch Basin, western India. The geochemical data confirm the phosphatic character of the investigated ichnofossils. The dominance of partly digested bone matter and presence of plant remains in all the three coprolite morphotypes reflects the omnivorous diet of the producers, which were most likely chelonians. The occurrence of an inclusion (in a coprolite specimen recorded in this study) showcasing an ultrastructure similar to mammalian dental enamel is a rarity in Neogene coprolite records. Additional biotic inclusions observed in the investigated coprolites include ostracods (assigned to genera Paractinocythereis, Hermanites, and Propontocypris); large planispiral benthic foraminifera including the genus Quinqueloculina ; uniserial and biserial benthic foraminifera belonging to genus Textularia ; marine calcareous algae genus Actinoporella ; chrysophytes (resting spores or cysts of planktonic algae); sponge spicules (represented by the morphotypes Acanthoxea and Strongyle); freshwater diatom genus Aulacoseira ; unidentified fungal remains; and phytoliths. Taken together, the biotic and abiotic (e.g., pyrite) inclusions, geochemical data and associated microbiota suggest that these ichnofossils were deposited in a dominantly coastal marine (intertidal) setting linked to a lacustrine/palustrine environment. [ABSTRACT FROM AUTHOR]

How serious is indoor air pollution (IAP) as a threat to infants and children? This paper estimates the impact of cooking fuel choice – a predominant source of IAP – on under-five mortality in India, where reliance on biomass fuels such as firewood, animal dung, and agricultural waste is pervasive. Leveraging forest cover and agricultural land ownership for identification and nationally representative data, we find that solid fuel use for cooking significantly increases the child mortality rate - mainly driven by neonatal mortality in the first 28 days after birth. The mortality effect is higher for girls than boys and is magnified in relatively small households where there is limited scope for the division of labor between childcare and cooking responsibilities. Among polluting fuels, we find that biomass fuels drive the impact of polluting fuel use on child mortality. [ABSTRACT FROM AUTHOR]

This paper explores the role of political connections in facilitating access to credit for firms in the Indian corporate sector. This study aims to address gaps in the literature by combining theoretical insights with empirical data. Our model proposes that political connections may reduce risk for firms, thereby enhancing their access to credit. Utilizing a unique dataset of S&P BSE 500 companies from 2001 to 2019, we analyze the extent of these connections and their impact on financial leverage and debt-to-asset ratios. Our findings reveal that politically connected firms, defined by their monetary donations to political parties and the inclusion of Members of Parliament on their boards, exhibit significantly higher financial leverage and debt-to-asset ratios than unconnected firms. This implies a lower perceived borrower's risk and an advantageous position in accessing credit, likely a result of their political ties. The implications of our findings extend to the realms of corporate governance, economic policy, and the broader understanding of emerging market dynamics. • Political connections, as part of non-market strategies of firms, may be crucial in accessing credit. • Our theoretical framework highlights role of risk and donation to political party by a firm in accessing credit. • This study constructs a novel dataset of political connections of Indian companies. • Political connections lead to more favorable borrowing-related outcomes of companies such as, financial leverage and debt-assets ratio. • Political connections specific to a particular political party tend to serve companies more (in terms of the aforementioned outcomes), when that particular party is in power. [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]

Immunization programs globally have played a pivotal role in reducing mortality rates. However, the effectiveness of these programs often falls short of the intended coverage targets, primarily due to challenges within the supply chain, storage facilities, and distribution processes. Notably, a substantial percentage of vaccine wastage has been observed in numerous countries, thereby imposing a significant financial burden on immunization initiatives, and presenting a formidable challenge to policymakers. This paper undertakes a comprehensive study of the financial dynamics inherent in an immunization program within the context of India. Employing a systems perspective, we scrutinize the intricate interactions among various cost factors. Through a five-year system dynamics simulation, we derive insights into the amplified financial constraints resulting from vaccine wastage and the inefficiencies associated with shared personnel. Furthermore, our analysis extends to evaluate the impact of an additional investment aimed at enhancing the quality of the cold chain infrastructure and health worker proficiency on the overall funds of the immunization program. This research contributes to a nuanced understanding of the financial intricacies of immunization programs, offering valuable insights for policymakers and stakeholders seeking to optimize program efficiency and resource allocation. [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]

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]

Municipal solid waste generation in India is increasing as a result of rapid urbanisation and a growing population. Due to gaps in the existing waste collection, treatment and recovery methods, large-scale unscientific disposal and lesser waste recovery have been observed. Insufficient source segregation, unorganised efforts, less awareness and indifference towards malpractice, and a lack of strict implementation were identified as the causes through literature review, surveys and interviews, Therefore, there is a need for a system of interventions, which organises efforts toward waste management and reduces the tolerance for source segregation errors. This paper aims to provide a solution that increases community participation and prevents the generation of mixed waste to ensure waste recovery. The proposed framework integrates municipal solid waste, human elements, and technology into an intelligent app-based system. This includes a smart bin that segregates waste at the source through image classification and an application for communication and data collection. [ABSTRACT FROM AUTHOR]

At the heart of India's livelihood lies agriculture, a foundational and ever-evolving sector. The realm of agriculture faces modern challenges, encompassing unpredictable climate fluctuations, insufficient irrigation infrastructure, and erratic weather conditions. Amidst these challenges, machine learning has emerged as a valuable tool for evaluating soil fertility and Crop assessment in agriculture. Ensemble machine learning methodologies have garnered attention for their potential to enhance predictive capabilities. These techniques involve constructing meta-classifiers that collectively contribute to improved predictive accuracy. This paper centers on the analysis of soil data acquired from testing laboratories, to predict fertility based on a comprehensive dataset. The study employs prominent ensemble machine learning algorithms, specifically focusing on boosting techniques, to elevate predictive accuracy and ensure heightened consistency. The assessment of soil fertility categories involved the examination of 12 carefully chosen attributes. Diverse soil parameters were measured to facilitate the prediction of soil fertility levels. The outcomes of the experimentation revealed that the application of the boosting technique using the Xgboost algorithm yielded superior accuracy compared to alternative ensemble classifiers, achieving a remarkable 96% accuracy rate. [ABSTRACT FROM AUTHOR]

Recognizing specific characters from a large set of handwritten characters is called off-line character recognition. Devanagari, the reading and writing script, is widely used in a broad region of India. This paper proposes using the modified LeNet-5 architecture for recognizing Devanagari off-line handwritten characters using the Devanagari Handwritten Character Dataset (DHCD). The dataset comprises 46 distinct character classes, each with 2000 images. The proposed modified Lenet-5 Base Architecture (MLCNN8) uses more filters and kernels of small sizes with batch normalization. The proposed modified Lenet-5 Base Architecture (MLCNN8) outperformed the Lenet-5 Base Architecture (LCNN) with an accuracy of 99.21% in 53 epochs, whereas LCNN achieved an accuracy of 94.50% in 48 epochs. Hence, the proposed modified Lenet-5 architecture outperforms the Lenet-5 Base Architecture. The proposed model's results were compared with other state-of-the-art and found that it also has an edge for recognizing the Devanagari handwritten characters. [ABSTRACT FROM AUTHOR]

Mushrooms are fungi that play significant roles in ecosystems, food, and medicine. However, distinguishing toxic mushrooms from non-toxic ones is challenging, as their visual characteristics can be misleading. Deep learning, a subset of artificial intelligence, offers a promising approach to detecting and classifying mushrooms based on their toxicity. By training deep neural networks on datasets of labelled mushroom images, it becomes possible to create models capable of accurately differentiating between toxic and non-toxic mushrooms. Mushrooms are fungi that play significant roles in ecosystems, food, and medicine. However, manually distinguishing toxic mushrooms from non-toxic ones is a challenging and time-consuming task. This research work is to help the local farmers and exporters to identify the difference between the toxic and the edible mushroom which will eventually boost production and will directly have an impact on the economic growth in India. This paper compared different deep learning algorithms such as Support Vector Machine (SVM), Resnet50, YOLO V5 and Alexnet, which have been found to be the most useful in classifying the mushrooms effectively as toxic and non-toxic respectively. The patterns in the images of the mushrooms have been predicted through the above classifiers. The validation techniques show SVM to be the most effective with an accuracy of 83%. [ABSTRACT FROM AUTHOR]

Thyroid cancer is the most common endocrine malignancy, accounting for 1 % of all cancers 1. The genetic syndromes associated with differentiated thyroid cancers(DTC) are Cowden syndrome, Familial Adenomatous Polyposis(FAP), Carney's complex, Pendred syndrome and Werner syndrome2. The incidence of synchronous second primary tumors(SSPC) associated with oropharyngeal malignancies was 1 to 10 %3. The incidence of other malignancies other than the above syndromes occurring synchronously with DTC is very rare. Only a few case reports and series are available. The incidence of synchronous second primary cancer(SSPC) with Differentiated Thyroid Cancers(DTC) is a very rare entity. Very few case reports and case series were published in the literature. The current study is aimed to enumerate the clinicopathological data of patients with DTC with SSPC. This is a single-center retrospective study. All the patients diagnosed with DTC and SSPC from January 2016 to July 2023 were included in the study. The demographic, clinicopathological data and survival data were collected from the institute's database. Patients were followed up telephonically and survival status was documented. Synchronous cancers are defined as more than one independent primary malignancy when the second(or third) cancer occurs within six months of diagnosis of the first malignancy4. [Display omitted] A total of 1395 patients were diagnosed with thyroid cancer during the study period. Twelve patients were found to have DTC with SSPC. All the patients had papillary thyroid cancer as primary DTC. Ten patients had head and neck squamous cell carcinoma, one had malignant phyllodes tumor, and another patient with endometrioid adenocarcinoma as the SSPC. Six patients diagnosed during preoperative evaluation, one patient diagnosed 3 months after the oral malignancy diagnosis and five patients were diagnosed to have PTC in cervical nodes after neck dissection. Complete thyroid removal was done in six patients and hemithyroidectomy in two patients. Among the patients who underwent total thyroidectomy, four patients had undergone radioactive iodine scan followed by radioactive iodine ablation for two patients. Three patients had died during follow-up, two patients was lost to follow-up and the rest of the seven patients were alive. Out of those alive one patient had a follow-up of less than six months and was excluded from the survival calculation. The median follow up was 25.55 months. The median overall survival was 40.97 months. DTC constitute 95% of thyroid malignancies. Five to fifteen percent of DTC has familial disease. The genetic syndromes associated with DTC are FAP, PTEN syndromes(Cowden syndrome, Bannayan- Riley-Ruvalcaba syndrome, PTEN hamartoma tumor syndrome), Werner syndrome, Carney complex, DICER1 syndrome, Pendred syndrome, Ataxia telangiectasia, Li Fraumeni syndrome, and Peutz Jeghers syndrome5. But, synchronous occurrence of a second malignancy with DTC is a rare phenomenon. In the present study, the most common SSPC was SCC of the head and neck region(83.3%). 5 patients had incidental detection of thyroid cancer in cervical lymph nodes which were dissected during neck dissection done for other causes. L J Fliegelman et al published a paper on four cases of incidentally detected thyroid malignancy in cervical nodes6. Ansari-Lari et al also published cases of incidentally diagnosed PTC on cervical lymph nodes7. In the present study, one patient had synchronous papillary thyroid carcinoma with a malignant phyllodes tumor of the breast. No such case was found reported in the literature during our literature search. In the present study, we reported a case of synchronous endometrioid adenocarcinoma with PTC. Badan Marius-loan et al reported one case of PTC with endometrioid carcinoma8. Patients with Cowden syndrome can have thyroid carcinoma and endometrial carcinoma9. The overall survival of the study group was 40.97 months. Biopsy-proven SCC recurrence was seen in two patients out of four patients with clinically documented recurrence. In the literature review on case series and case reports, it was concluded that the prognosis of the patient depends on the staging of oral synchronous primary and the treatment of thyroid cancer must be decided based on oral malignancy staging and treatment. In conclusion SSPC with DTC is a very rare phenomenon. SCC of the head and neck region is the most common synchronous second primary malignancy associated with DTC. As there are no published guidelines for this clinical scenario, a multi-disciplinary panel discussion is a must to decide regarding management considering the staging and weighing the treatment benefit for both malignancies. [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]

Due to the cultural and traditional diversity of the Indian environment, the successful implementation of self-automated and smart architectures is very challenging. As the IoT expands the network of devices, it also increases the hazards with increasing demands. This paper aims to propose an efficient model with the combination of interdisciplinary aspects of Indian building automation and numerous factors of Indian cultural differences. The proposed fuzzy-colored Petri-nets-based ubiquitous framework utilizes the capabilities of ubiquity for the diversified culture of Indian Building Automation systems. The proposed algorithms establish the Wi-Fi component connectivity and the working of the LED pin. Further, the modules of the Wi-Fi component connectivity, set up function and get values function to illustrate the working principle of the proposed model. Lastly, the integrated system using the FCPN tools. The significance of developing the proposed model is in its usefulness, usage of maximum ideas of different modeling techniques, cultural support, and its conversion into a formal qualitative and quantitative model. [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]