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This paper focuses on the discourse on Muslim women's rights in India, aiming to trace how policies concerning Muslim women affect their constitutional rights to equality and non-discrimination. In doing so, this paper explores a colonial continuity of policies in the post-independence era and the subsequent governments. The purpose of this paper is to provide an extensive and nuanced discussion on Muslim women's rights in light of their historical evolution, the existence of personal laws, and the ongoing debates on a Uniform Civil Code. This article concludes that Muslim women continue to struggle for their rights to equal citizenship at the intersection of gender, religion, colonialism, and secularism. [ABSTRACT FROM AUTHOR]

Simple Summary: This study examined patterns of dog ownership in three different states in India. The main aim was to understand who owns dogs, their reasons for owning them, and how these patterns vary in different areas. We conducted quantitative surveys to gather information on the number of people who own dogs, their backgrounds, and their attitudes towards their pets. Our findings show that there are significant differences in dog ownership depending on where people live and their economic status. In particular, we found settlements in Gujarat state to possess significantly fewer privately owned dogs that Tamil Nadu and Uttarakhand. These results are important because they help us understand the needs of dog owners and their pets in different parts of India. This information can be used by those making decisions about public health and animal welfare, such as how to manage stray dogs or prevent diseases that can spread from dogs to humans. This study is valuable as it provides a clearer picture of dog ownership in India, which can help improve the lives of both people and animals. This paper presents the demographics, dynamics, and attitudes of dog ownership across three states in India. The background of this research is set against the increasing significance of pet ownership in urban Indian contexts, with a particular focus on understanding the variations in dog-ownership patterns and their implications for public health and animal welfare. We employed a survey-based approach, gathering quantitative survey data from dog owners (n = 563) and non-dog-owners (n = 9282) across different socioeconomic and geographic backgrounds in seven Indian settlements. The results reveal notable differences in dog-ownership patterns, influenced by regional state. In particular, settlements in Gujarat were found to have significantly fewer dog-owning households than those in Tamil Nadu, with no differences found according to settlement size. Dog ownership was found to be more common in households of higher socioeconomic standing, and settlements in Uttarakhand were found more frequently to possess dogs for reasons other than companionship. Data from Ahmedabad and Vadodara, specifically, also indicate rapidly increasing rates of pet ownership. Sterilisation and rabies vaccination proportions were typically low and high, respectively, across all settlements, with few significant differences found among settlements. Confinement of owned dogs at night was significantly lower in Nainital than all other settlements. Differences in attitudes towards roaming dogs between dog owners and non-dog-owners were also examined, with the results indicating both positive and negative trends accordingly. Our results emphasise the need for region-specific strategies in public health and animal welfare policies, acknowledging the diverse nature of pet ownership in India. This research provides valuable insight for policymakers and animal welfare organisations, underlining the importance of tailored approaches to address the unique challenges and opportunities in the Indian context. [ABSTRACT FROM AUTHOR]

In the classical philosophical landscape of India, the Advaita of Śaṅkara occupies central stage. Besides the Upaniṣadic literature, the Gauḍapāda-kārikā (GK) of Gauḍapāda is the primary text in this school. Relying primarily on the GK, this essay explores the ways the issue of change can be addressed within the Advaita paradigm. For Advaitins, there exists only the singular reality of Brahman, of the character of non-differentiated consciousness. In this paradigm, the attributes of both being and blissfulness never change. Furthermore, the central teaching of Gauḍapāda is the doctrine of 'non-origination' (ajāti), that nothing is ever originated. For Advaita, change or deviation is possible only under the spell of illusion, as the absolute is changeless. By comparing the position of Gauḍapāda with other classical, non-dual philosophies, this paper explores arguments for and against change in the classical philosophical school of Advaita. [ABSTRACT FROM AUTHOR]

A well-structured digital database is essential for any national priority project as it can provide real-time data analysis and facilitate quick decision making. In recent times, particularly after the COVID-19 pandemic, invasive fungal infections (IFIs) have emerged as a significant public health challenge in India, affecting vulnerable population, including immunocompromised individuals. The lack of comprehensive and well-structured data on IFIs has hindered efforts to understand their true burden and optimize patient care. To address this critical knowledge gap, the ICMR has undertaken a Pan-India pioneer initiative to develop a network of Advanced Mycology Diagnostic research centres in different geographical zones of the country (ICMR-MycoNet). Under the aegis of this project, a clinical registry on IFIs in the ICUs is initiated. This process paper presents a detailed account of the steps involved in the establishment of a web-based data entering and monitoring platform to capture data electronically, ensuring robust and secure data collection and management. This system not only allows participating ICMR-MycoNet centres to enter patient information directly into the database using standardized Case Report Form (CRF) but also includes data validation checks to ensure the accuracy and completeness of entered data. It is complemented by a real-time, web-based, and adaptable data visualization platform. This registry aims to provide crucial epidemiological insights, promote evidence-based hospital infection control programs, and ultimately improve patient outcomes in the face of this formidable healthcare challenge. [ABSTRACT FROM AUTHOR]

The continuous requirement for pre-bleaching processes on kraft pulp, employing a range of compatible enzymes, aims to mitigate the pollution caused by chemical bleaching agents. In the present study, the laccase-producing bacterium Bacillus licheniformis BK-1 was isolated from the Bakreshwar hot spring in India and tested for laccase production using different lignocellulosic substrates. The isolate was found to produce maximum laccase (8.25 IU/mL) in the presence of rice bran as a substrate, followed by 5.14 IU/mL using sawdust over a 48 h period. Laccase production doubled when medium parameters were optimized using a central composite design. The bleaching of rice straw pulp was accomplished using a laccase, xylanase (previously extracted from the same bacteria), and laccase–xylanase mixture. The mix-wood kraft pulp treated with the enzyme mixture at pH 7.0 and 50 °C temperature for up to 180 min reduced the chlorine amount by 50% compared to the control. The results also revealed that the enzyme mixture improved the pulp's optical (brightness 10.39%) and physical (tear index 39.77%, burst index 22.82%, and tensile strength 14.28%) properties with 50% chlorine dose. These exceptional properties underscore the enzyme mixture's suitability for pulp pre-bleaching in paper manufacturing, offering a safer and more environmentally friendly process. [ABSTRACT FROM AUTHOR]

This paper explores business models for community energy storage (CES) and examines their potential and feasibility at the local level. By leveraging Multi Criteria Decision Making (MCDM) approaches and real-world case studies in Europe and India, it presents insights into CES deployment opportunities, challenges, and best practices. Different business models, including community energy cooperatives, utility–community partnerships, demand response, energy services, and market mechanisms, are analyzed. The proposed method combines the MCDM method PROMETHEE II with the fuzzy set theory to obtain a complete CES business model ranking, addressing project uncertainties. The analysis emphasizes CES's role in balancing local renewable energy supply and demand, facilitating energy sharing, and achieving energy independence. Findings prioritize models like Community Cooperative, Energy Arbitrage, and Energy Arbitrage Peak Shaving for CES with renewables. Environmental benefits include reduced diesel use and greenhouse gas emissions. Efficient cooperatives are advocated to recover costs and enable competitive energy prices. The paper highlights the need for novel value propositions to boost the energy transition in local communities. This research contributes to the discourse on CES business models, fostering knowledge exchange and promoting effective strategies for sustainable energy systems. [ABSTRACT FROM AUTHOR]

The paper examines how Hindu nationalist social service organizations, specifically the Deseeya Seva Bharathi (DSB), reconfigured the religious conception of 'Seva' to advance the project of constructing a Hindu social identity during the COVID-19 pandemic in the state of Kerala. The southern Indian state of Kerala has remained an exception in the story of the rise of the Hindu nationalist movement in contemporary India, which has repeatedly failed to make any considerable political inroads in the state. However, the disastrous economic consequences and livelihood challenges during the COVID-19 pandemic in the state, which was heavily dependent on foreign remittance and service industries, have opened up new spaces of engagement for Hindu nationalists. Drawing on the fieldwork conducted in central Kerala during the pandemic, this paper will elaborate on how the DSB used the crisis moment of the pandemic to reach out to economically and socially disadvantaged communities using the language of 'Seva' to build a Hindu social identity, which imbues the influence of majoritarian Hindu nationalist politics. The paper argues that the DSB's articulation of 'Seva' as a distinct and superior form of social service that is 'self-less', 'non-instrumental' and 'non-reciprocal' is significant in understanding the growing appeal of Hindu nationalist social service in the contested political sphere of Kerala, which is marked by competing social provisions by the state as well as other secular and religious groups. The paper notes that the reconfiguration of 'Seva' as a continuous religious concept enables Hindu nationalists to attain greater acceptance and legitimacy that even the secular state welfare could not achieve, while also concealing the inherent instrumental nature of its social service towards the construction of a Hindu social identity in the region. [ABSTRACT FROM AUTHOR]

Myths and mythological figures serve as cultural symbols that people live by and emulate. Śravaṇ Kumār is one such mythological figure. He carried his blind parents on his shoulders and, with great hardships, tried to fulfil their wish for a pilgrimage. However, before he could complete the journey, he met a tragic end at the hands of Prince Daśrath. Due to his devotion to his parents, he is revered as an ideal youth in the Indian Hindu context. One wonders what values are conveyed about a society that has, for centuries now, idealised the tragic mythical figure of Śravaṇ Kumār? What could be the underlying fascination with the tragic story of Śravaṇ Kumār, his parents, and the guilt-ridden prince responsible for their tragic deaths and the subsequent ordeal the prince's son Rām had to endure in accordance with a curse? This paper reinterprets this myth and examines its relevance in contemporary times. The reinterpretation of the myth is further discussed in connection with the relevant psychoanalytic identity development theories, keeping in view the adolescents in the urban metropolitan context in India. The paper concludes by discussing the significance of having relevant mythical and cultural ideals for the identity development of youth. [ABSTRACT FROM AUTHOR]

A significant majority of the population in India makes their living through agriculture. Different illnesses that develop due to changing weather patterns and are caused by pathogenic organisms impact the yields of diverse plant species. The present article analyzed some of the existing techniques in terms of data sources, pre-processing techniques, feature extraction techniques, data augmentation techniques, models utilized for detecting and classifying diseases that affect the plant, how the quality of images was enhanced, how overfitting of the model was reduced, and accuracy. The research papers for this study were selected using various keywords from peer-reviewed publications from various databases published between 2010 and 2022. A total of 182 papers were identified and reviewed for their direct relevance to plant disease detection and classification, of which 75 papers were selected for this review after exclusion based on the title, abstract, conclusion, and full text. Researchers will find this work to be a useful resource in recognizing the potential of various existing techniques through data-driven approaches while identifying plant diseases by enhancing system performance and accuracy. [ABSTRACT FROM AUTHOR]

Chitosan is a biocompatible polymer with vast applications in pharmacology, medicine, paper making, agriculture, and the food industry due to its low toxicity. Chitosan also plays an important role in the sustainable environment since chitosan is able to absorb greenhouse gases, harmful organic matter, and heavy ions. Therefore, this paper conducts a bibliometric analysis of chitosan for sustainable development using the Scopus database from 1976 to 2023. A performance analysis on the 8002 documents was performed with Harzing's Publish or Perish. Science mapping was conducted using VOSviewer. The annual publication on chitosan for sustainable development showed an upward trend in recent years as the annual publication peaked in 2022 with 1178 documents with most of the documents being articles and published in journals. Material science, chemistry, and engineering are tightly related subject areas. China had the highest publication of 1560 total documents while the United States had the most impactful publication with 55,019 total citations, 68.77 citations per document, 77.6 citations per cited document, h-index 110, and g-index of 211. India had the largest international collaboration with 572 total link strength. "International Journal of Biological Macromolecules", "Carbohydrate Polymers", and "Polymers" have been identified as the top three source titles that publish the most documents on chitosan for sustainable development. The emerging trends in chitosan on sustainable development focus on the application of chitosan as an antibacterial agent and biosorbent for contaminants, especially in water treatment. [ABSTRACT FROM AUTHOR]

In 2021, there was a global energy crisis that affected different parts of the world. In most countries, energy heavily relies on natural gas, including Nigeria, India, and Bangladesh. Several studies have explored the differences in the energy of crude oil and natural gas. Nonetheless, little effort has been made toward exploring the exportation of energy for exchange markets in Nigeria, India, and Bangladesh. This paper primarily aims at comparatively exploring the energy of crude oil and natural gas for exchange markets in the aforementioned countries. The methodology used in this paper is qualitative content analysis (QCA) and a systematical literature review (SLR) which includes various sources such as journals, the core collection of the Web of Science (WOS), oil peer review resources, and library sources. The study systematically mapped out different bibliographic materials whereby the visualization of similarities (VOS) was used to explore exchange markets for energy, crude oil, and gas in Nigeria, India, and Bangladesh. The results of the analysis indicated that, in Africa, Nigeria is regarded as the largest producer of natural gas and crude oil, with an approximation of 1.2 million barrels per day. Concerning oil and gas reserves, the country is considered the 10th and 8th largest producer in the world, having 37 billion barrels and roughly 206 trillion cubic feet, respectively. Thus, the exportation of energy is considered a central pillar of the country's economy. In addition, India is regarded as the second largest producer of crude oil with 4.972 million barrels per day, which is approximately 5.1% of the entire world's capacity for refining crude oil. Similarly, at the global level, India is considered the topmost consumer of crude oil, accounting for 4.8% of the world's consumption. In the context of Bangladesh, their gas reserves account for 39.4 trillion cubic feet, and they are considered to be 70% of the commercial energy supply in the country. In conclusion, the importance of energy, crude oil, and natural gas cannot be underestimated, specifically, for the exchange import markets in the current context of the aforementioned countries. It is, therefore, suggested that the governments of Nigeria, India, and Bangladesh should strengthen their national policies on energy in order to be responsive to the global energy crisis as well as boost the exchange market in the energy sector. [ABSTRACT FROM AUTHOR]

Rice (Oryza sativa L.) is thought to have been domesticated many times independently in China and India, and many modern cultivars are available. All rice tissues are rich in specialized metabolites (SPMs). To date, a total of 181 terpenoids, 199 phenolics, 41 alkaloids, and 26 other types of compounds have been detected in rice. Some volatile sesquiterpenoids released by rice are known to attract the natural enemies of rice herbivores, and play an indirect role in defense. Momilactone, phytocassane, and oryzalic acid are the most common diterpenoids found in rice, and are found at all growth stages. Indolamides, including serotonin, tryptamine, and N-benzoylserotonin, are the main rice alkaloids. The SPMs mainly exhibit defense functions with direct roles in resisting herbivory and pathogenic infections. In addition, phenolics are also important in indirect defense, and enhance wax deposition in leaves and promote the lignification of stems. Meanwhile, rice SPMs also have allelopathic effects and are crucial in the regulation of the relationships between different plants or between plants and microorganisms. In this study, we reviewed the various structures and functions of rice SPMs. This paper will provide useful information and methodological resources to inform the improvement of rice resistance and the promotion of the rice industry. [ABSTRACT FROM AUTHOR]

Hindu civilizationism is more than a century old phenomenon that has been steadily gaining strength. Its recent amalgam with populism has made it ascendant, popular, and mainstream in India. This paper explores how Hindu civilizationism is not only an essential part of the Hindutva and BJP's narrative but also the mainstay of several government policies. The "other" of the BJP's populist civilizationist rhetoric are primarily Muslims and Muslim civilization in India and the aim is to make India "vishwaguru" (world leader) again after 1200 years of colonialism. The evidence of this heady mixture of civilizationism and populism is numerous and ubiquitous. This paper analyzes topics such as Akhand Bharat, the golden age, denigrating Mughals, Hindutva pseudoscience, and Sanskrit promotion to highlight the evidence. [ABSTRACT FROM AUTHOR]

Given the emergence of the Ram Janmabhoomi Movement in the early 1990s, a group of female ascetics and sadhvis displayed tendencies of eschewing conventional gendered images and reinforcing the ideals of virtuous motherhood and female warriorhood in an effort to establish women's alternative authority in the public and private domains. In order to galvanise women's participation in the public sphere, these sadhvis allowed women to assume roles that would otherwise be reserved for men on the grounds that men are no longer living according to their dharma. In reality, the sadhvis were reorganising the feminine space within a predominately masculine Hindutva movement by recommending a level of politicisation of women's private responsibilities in the public sphere with a distinctive articulation of particular gender stereotypes. Taking into account these factors, my aim in writing this essay is to examine the ramifications of the agency and authority that these sadhvis achieved while actively participating in the Hindutva movement. This paper also aims to find out which types of approaches they employed to address the conflicts between conventional womanhood, asceticism, and heroic femininity in the arena of public life. [ABSTRACT FROM AUTHOR]

In India, agriculture serves as the backbone of the economy, and is a primary source of employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and allied sectors in India exhibited resilience, registered a growth of 3.4% during 2020–2121, even as the overall economic growth declined by 7.2% during the same period. The improvement of the agriculture sector holds paramount importance in sustaining the increasing population and safeguarding food security. Consequently, researchers worldwide have been concentrating on digitally transforming agriculture by leveraging advanced technologies to establish smart, sustainable, and lucrative farming systems. The advancement in remote sensing (RS) and machine learning (ML) has proven beneficial for farmers and policymakers in minimizing crop losses and optimizing resource utilization through valuable crop insights. In this paper, we present a comprehensive review of studies dedicated to the application of RS and ML in addressing agriculture-related challenges in India. We conducted a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and evaluated research articles published from 2015 to 2022. The objective of this study is to shed light on the application of both RS and ML technique across key agricultural domains, encompassing "crop management", "soil management", and "water management, ultimately leading to their improvement. This study primarily focuses on assessing the current status of using intelligent geospatial data analytics in Indian agriculture. Majority of the studies were carried out in the crop management category, where the deployment of various RS sensors led yielded substantial improvements in agricultural monitoring. The integration of remote sensing technology and machine learning techniques can enable an intelligent approach to agricultural monitoring, thereby providing valuable recommendations and insights for effective agricultural management. [ABSTRACT FROM AUTHOR]

Green and decent work in the Global South is inextricably linked to sustaining rural livelihoods especially in agriculture that has undergone significant deskilling under the top-down, technocentric assemblages of the Green Revolution. Additionally, agrarian communities are also seeing youth quitting farming occupations in search of better livelihood options. Scholarly attention to green transitions though has been largely limited to the ecological dimensions. Enacting futures with a focus on ecologically responsible livelihoods need to go beyond existing narratives of technocentric and economic change and foreground the diverse micro institutional innovations that offer newer framings of reskilling. The growing evidence of agroecological initiatives across India indicates less discussed stories of transformation and innovations. Recognising the processes and linkages that allow for, and hinder, transformations at multiple scales and organisational levels is crucial for designing transformative initiatives and policies. Using two illustrative case studies, this paper explores opportunities for green work and the newer skills that might be required to enable sustainable agri-food systems. The case of Natural Farming Fellows (NFFs), a unique programme to encourage young agri-graduates to pursue Natural Farming is presented to understand enabling processes at the grassroots level. The second study explores institutional initiatives to engage rural youth through discussing the pedagogy and curricular approach of a Gandhian university along with opportunities to intern with field organisations. Together, these cases illustrate possible pathways and complexities underlying the process of nurturing sustainable livelihoods, the conception of which needs a broader idea of skilling based on personal aspirations and institutional support. [ABSTRACT FROM AUTHOR]

Centella asiatica is well known for its miraculous therapeutic properties in various systems of traditional medicine across the world. However, significant variation in its pharmacological activities has been reported due to the unavailability of quality raw material and non-standardized formulations. A number of research papers have been published on the collection of C. asiatica plants from different regions for the identification of a suitable agroclimate with elite germplasms. Efforts have been made to standardize production and post-harvest practices for the availability of quality raw material with a high centelloside content. The ecological niche modeling approach revealed that the Indian subcontinent has high climatic suitability for the production of C. asiatica, and genotypes with a high content of centelloside were predominantly found in the Western Ghats, North East, Eastern Himalaya and Western Himalaya in India. Open cultivation of C. asiatica is more suitable in these agroclimatic zones in India. Cultivation under shade is also suitable in the plains of Central India. Hydroponic and tissue culture of C. asiatica has also been successfully established for the enhanced production of centelloside using supplements and elicitors such as sucrose, auxins, cytokinins, kinetin, methyl jasmonate, etc. Freeze drying has been identified as the most efficient post-harvest method for the high pharmacological activities of C. asiatica extracts. [ABSTRACT FROM AUTHOR]

Access to inexpensive, safe, consistent, and clean energy is a critical necessity for all to achieve the SDGs. India's renewable energy (RE) currently accounts for more than a third of the 482 GW of installed capacity and more than 40 percent of power production (including large-scale hydropower). Reforms such as the establishment of a single national power grid have improved access to electricity for people, and the ambitious development of renewable energy, which is the world's third-largest energy generator and third-largest electricity user, has helped in achieving these aims. As a result, the expansion of national targets signifies and reflects the country's optimism and goal for the forthcoming generation. Standardization of the guidelines and development of the stable grid and transmission networks will only enable the country to achieve the ambitious target of 500 GW of green and clean energy by 2030. This paper highlights the important development in the power sector regarding the energy security of India. As well as specifically examining the initiative of NSMs for achieving the 2030 targets, the key challenges, and the way forward to increase the cumulative installed capacity, comprehensive studies of various policies and government initiatives are also discussed. Furthermore, the key challenges usually faced by the developers in the industry, along with the steep decline and rise in the tariffs of solar projects and the previous trends in capacity installation, are also pointed out. This research work also highlights the potential key challenges to achieving the targets, and will thus provide a focus for power developers, policy makers, researchers, and industry practitioners and help with their planning. In the current scenario, the supply of food and the clean energy nexus are required to meet the demands of people's livelihoods. [ABSTRACT FROM AUTHOR]

Recent years have seen a rapid rise in the generation of high-resolution topographic data using custom-built or commercial-grade Unmanned Aerial Vehicles (UAVs). Though several studies have demonstrated the application potential of UAV data, significant knowledge gaps still exist in terms of proper documentation of protocols for data acquisition, post-flight data processing, error assessments, and their mitigation. This work documents and provides guidelines for UAV data acquisition and processing from several years of field experience in diverse geomorphic settings across India, including undulating topography (~17 km2), alluvial plains (~142 km2), lowland-river basin (~66 km2), and a highly urbanized area (~5 km2). A total of 37,065 images with 16 and 20 Megapixels and 604 ground control points (GCPs) were captured with multiple UAV systems and processed to generate point clouds for a total area of ~230 km2. The Root Mean Square Error (RMSE) for each GCP for all sites ranged from 6.41 cm to 36.54 cm. This manuscript documents a comprehensive guideline for (a) pre-field flight planning and data acquisition, (b) generation and removal of noise and errors of the point cloud, and (c) generation of orthoimages and digital elevation models. We demonstrate that a well-distributed and not necessarily uniformly distributed GCP placement can significantly reduce doming error and other artifacts. We emphasize the need for using separate camera calibration parameters for each flight and demonstrate that errors in camera calibration can significantly impact the accuracy of the point cloud. Accordingly, we have evaluated the stability of lens calibration parameters between consumer-grade and professional cameras and have suggested measures for noise removal in the point cloud data. We have also identified and analyzed various errors during point cloud processing. These include systematic doming errors, errors during orthoimage and DEM generation, and errors related to water bodies. Mitigation strategies for various errors have also been discussed. Finally, we have assessed the accuracy of our point cloud data for different geomorphic settings. We concluded that the accuracy is influenced by Ground Sampling Distance (GSD), topographic features, and the placement, density, and distribution of GCPs. This guideline presented in this paper can be extremely beneficial to both experienced long-term users and newcomers for planning the UAV-based topographic survey and processing the data acquired. [ABSTRACT FROM AUTHOR]

Simple Summary: Cionus Clairville, 1798, is a genus of weevils distributed in Palaearctic, Afrotropical and Oriental regions. It belongs to the large subfamily Curculioninae of the family Curculionidae. This paper reviews all valid extant Oriental species of the genus based on morphological characters for the first time, describes one new species and gives a replacement name to another species due to primary homonymy. This is the third and final part of the revision of this genus after previous recent revisions of Palaearctic and Afrotropical species. Descriptions or redescriptions, illustrations of habitus and male genitalia, comparative biological notes, distribution, a detailed list of all examined specimens and a key to treated species are given. Oriental species of the genus Cionus are herein revised for the first time. Eight species are recognized as distinct based on morphological characters of adults. One species is described as new: C. ottomerkli sp. nov., from India, whereas the name vossi (nom. nov.) is proposed for Cionus flavoguttatus Voss, 1957 (not Stierlin, 1893). The following new synonymy is established: Cionus indicus Desbrochers des Loges, 1890 (=Cionus albosparsus Faust, 1898 syn. nov.). Lectotypes of Cionus albosparsus Faust, 1898; Cionus flavoguttatus Voss, 1957; Cionus indicus Desbrochers des Loges, 1890; Cionus obesus Pascoe, 1883; and Cionus tonkinensis Wingelmüller, 1915, are designated. [ABSTRACT FROM AUTHOR]

Studying a renewable energy integrated power system's features is essential, especially for deregulated systems. The unpredictability of renewable sources is the main barrier to integrating renewable energy-producing units with the current electrical grid. Due to its unpredictable nature, integrating wind power into an existing power system requires significant consideration. In a deregulated electricity market, this paper examines the implications of wind farm (WF) integration with CAES on electric losses, voltage profile, generation costs, and system economics. Comparative research was done to determine the impact of wind farm integration on regulated and deregulated environments. Four randomly chosen locations in India were chosen for this investigation, together with real-time information on each location's real wind speed (RWS) and predicted wind speed (PWS). Surplus charge rates and deficit charge rates were created to assess the imbalance cost arising from the discrepancy between predicted and real wind speeds to calculate the system economics. When the effect of imbalance cost is considered, the daily system profit shows a variation of about 1.9% for the locations under study. Customers are always seeking electricity that is dependable, affordable, and efficient due to the reorganization of the power system. As a result, the system security limit could be exceeded or the system might function dangerously. The final section of this paper presents an economic risk analysis using heuristic algorithms such as sequential quadratic programming (SQP), artificial bee colony algorithms (ABC), and moth flame optimization algorithms (MFO). It also discusses how the CAES is used to correct the deviation of WF integration in the real-time electricity market. Economic risk analysis tools include value-at-risk (VaR) and conditional value-at-risk (CVaR). The entire piece of work was validated using a modified IEEE 30-bus test system. This works shows that with a three-fold increase in wind generation, the risk coefficient values improves by 1%. [ABSTRACT FROM AUTHOR]

As India faced multiple waves of the pandemic, religious responses arose to accommodate and make sense of the situation. In the face of uncertainty, disease and death, people turn not just towards the medical sciences but also religion. The emergence of a new Hindu goddess, Corona Mātā/Coronavirus Mardhinī encapsulates people's fear, faith, and devotion. Although the goddess is new, the tradition of disease goddesses is ancient. The Indian Subcontinent has a long history of mother goddesses who have been protecting their devotees from diseases such as smallpox, fever, plague, etc. This paper attempts to examine the emergence of Corona Mātā in the historical context of these 'protective mothers'. On one hand, historically, these goddesses have emerged as a result of interaction between Brahmanical religion and regional practices. On the other hand, these disease-centred goddesses can also be seen as the result of fear and faith. This paper will analyse the location of Corona Mātā in the ever-evolving pantheon of Hindu deities in the context of a 21st-century pandemic. [ABSTRACT FROM AUTHOR]

This paper reviews and assesses India's energy policy in the context of its commitment to achieve the target of net-zero carbon emissions by 2070. It emphasizes the central role of green electrification, particularly through the expansion of solar power capacity. It discusses policies outside the energy sector that need to be part of a strategy of achieving this target, including the use of information technology, infrastructure development, and transportation. Furthermore, it examines possible policy options for accelerating the target date to 2050, especially with the use of carbon capture to manage the transition from the current heavy use of coal. The paper also discusses the possible financial and growth implications of various strategy options, arguing that feasible external financing commitments can allow India to achieve net-zero goals without sacrificing economic growth. [ABSTRACT FROM AUTHOR]

Several sites in East Asia have been identified as Potalaka, originally thought to be located near the southern seas of India. The basis of this phenomenon is built upon the nature of Avalokiteśvara as a mediator between sentient beings and buddhas, the nature of Potalaka as a boundary between their worlds, and Buddhist philosophy. The belief in the abode of Avalokiteśvara bodhisattva on Earth incorporates various places into a Buddhist world transcending borders. This paper examines Korean beliefs about Potalaka and Avalokiteśvara through legends about Naksan Temple, with special emphasis on their relationship with mountain and sea worship. At the same time, the study attempts to connect the beliefs with the philosophical background of Hwaŏm tradition, which is in close relation with this ritual site. The aim of this approach is to point out the unique and universal, as well as the local and translocal elements in Korean narratives about Potalaka. In other words, the paper searches for patterns that are to be found in the wider Buddhist world and characteristics that are created by the specific religious environment of Korean culture. [ABSTRACT FROM AUTHOR]

The automobile sector is a promising avenue for enhancing energy security, economic opportunity, and air quality in India. Before penetrating a large number of electric vehicles (EV) into the power grid, a thorough investigation and assessment of significant parameters are required, as additional nonlinear and EV loads are linked to the decentralized market. Many automobile companies have already invested in electric vehicle research; hence, a detailed analysis on range anxiety and grid connectivity concerns are the important factors affecting the future of the electric vehicle industry. In this paper, the initial review is about the decentralized market in India and sustainable aspects of electric mobility based on the Indian context, as it is a developing nation with an enormous resource and scope for EV markets. With recent literature from the last three years, the substantial constraints observed in benefits and challenges are reviewed. The financial stability aspects and the incentives to overcome the barriers to EV adoption are briefly discussed. From the review, it has come to the limelight that infrastructure availability, technology, load demand, and consumer behaviour are all major obstacles in the electric vehicle ecosystem. For the overall design and study of the vehicle to grid (V2G) infrastructure, this paper also provides insight into the representation of electric vehicles in different energy-efficient models and their categorization while connecting to the grid. The methodology adopted for energy-efficient models includes lifecycle emissions, economy, smart charging, real-time optimization, aggregated EV resource modelling, and a support vector machine (SVM)-based method. This paper gives a positive impact on EV fleet integration and electric mobility in general, as it critically reviews the influential parameters and challenges. This classification depends on crucial parameters that are at the frontline of EV grid integration research. This review is a solution to enhance grid stability in regard to new EV models. With the advanced electric motors development and renewed battery technology models, longer-distance automobiles are now available on the market. This paper investigates the constraints of EV grid integration and analyzes different EV models to ease the grid stability for a decentralized market. [ABSTRACT FROM AUTHOR]

Cogeneration is preferred mostly in process industries where both thermal and electrical energies are required. Cogeneration plants are more efficient than utilizing the thermal and electrical energies independently. Present government policies in India made renewable energy generation mandatory in order to minimize fossil fuels consumption and to protect the environment. Hence, many cogeneration plants have been integrated with renewable energy generation. However, post-integration effects increase and introduce inefficiencies in the operation of cogeneration systems. In this paper, a case study of an identified typical cogeneration plant where renewable energy is integrated is considered. Post operational effects on the plant due to integration of renewable energy (solar) are studied and by practical experimentation through cost-benefit analysis the break-even point beyond which renewable energy generation introduces inefficiencies is estimated. Next, a systematic methodology is developed based on the heuristic forward-chaining approach technique to establish the breakeven point. An algorithm/flow chart is developed using an iterative method and executed through MATLAB using practical data from the industry. Suggestions for suitable energy storage devices to store renewable energy beyond the breakeven point, based on a techno-economic analysis of energy storage technologies, are made. Further, the battery energy storage system is designed and the capacity is estimated based on the practical solar irradiance data. A rule-based algorithm is developed to control the charge and discharge cycles of battery storage based on predefined conditions. The payback period is estimated based on the expected monetary benefits of proposed energy storage and the economy of the proposed system is ensured. The post-operational issues are resolved by introducing energy storage. The methodology presented in this paper can be a guiding tool for optimization of various renewable-energy-integrated cogeneration systems. [ABSTRACT FROM AUTHOR]

This paper analyzes the time to event data in the presence of collinearity. To address collinearity, the ridge regression estimator was applied in multiple and logistic regression as an alternative to the maximum likelihood estimator (MLE), among others. It has a smaller mean square error (MSE) and is therefore more precise. This paper generalizes the approach to address collinearity in the frailty model, which is a random effect model for the time variable. A simulation study is conducted to evaluate its performance. Furthermore, the proposed method is applied on real life data taken from the largest sample survey of India, i.e., national family health survey (2005–2006) data to evaluate the association of different determinants on infant mortality in India. [ABSTRACT FROM AUTHOR]

This paper discusses the importance of investigating DR using machine learning and a computational method to rank DR risk factors by importance using different machine learning models. The dataset was collected from four large population-based studies conducted in India between 2001 and 2010 on the prevalence of DR and its risk factors. We deployed different machine learning models on the dataset to rank the importance of the variables (risk factors). The study uses a t-test and Shapely additive explanations (SHAP) to rank the risk factors. Then, it uses five machine learning models (K-Nearest Neighbor, Decision Tree, Support Vector Machines, Logistic Regression, and Naive Bayes) to identify the unimportant risk factors based on the area under the curve criterion to predict DR. To determine the overall significance of risk variables, a weighted average of each classifier's importance is used. The ranking of risk variables is provided to machine learning models. To construct a model for DR prediction, the combination of risk factors with the highest AUC is chosen. The results show that the risk factors glycosylated hemoglobin and systolic blood pressure were present in the top three risk factors for DR in all five machine learning models when the t-test was used for ranking. Furthermore, the risk factors, namely, systolic blood pressure and history of hypertension, were present in the top five risk factors for DR in all the machine learning models when SHAP was used for ranking. Finally, when an ensemble of the five machine learning models was employed, independently with both the t-test and SHAP, systolic blood pressure and diabetes mellitus duration were present in the top four risk factors for diabetic retinopathy. Decision Tree and K-Nearest Neighbor resulted in the highest AUCs of 0.79 (t-test) and 0.77 (SHAP). Moreover, K-Nearest Neighbor predicted DR with 82.6% (t-test) and 78.3% (SHAP) accuracy. [ABSTRACT FROM AUTHOR]

In this paper, we shall examine some major religious roles for women in West Bengal, India, and the challenges they must face. Among the Santals, an Adivasi group, religious women must avoid being called witches, for women's power is seen as dangerous and religious social roles are traditionally forbidden to them. Some women have been called by deities to become trance mediums, colloquially known as 'bhar ladies', and this role is generally not accepted by family members. Girls have had to undergo exorcisms by male healers to get them to renounce the gods that have called them to this role, while married women must deal with husbands who do not want their wives going into public trances. Many such women have learned tantric practices to control the trance possession. In rural areas, the combination of ascetic practices and stories known as bratas (vratas) are taught to young girls by female leaders called ayes. However, in more urban areas, this role has been taken over by male brahmin priests. We also see women in the bhakti tradition, who run ashrams and lead worship and who must deal with male devotees who question a woman's leadership abilities. All of these involve challenges, and many of these women have developed strategies to deal with the difficulties of being a religious influencer in their societies. [ABSTRACT FROM AUTHOR]

This research paper investigates the evolving defense cooperation between India and Japan in the context of the strategic landscape in the Indo-Pacific region, particularly considering China's rise. The existing literature recognizes China's increasing influence as a significant factor in India-Japanese security cooperation, but tends to overlook the dynamics behind India's shifting stance. The study reveals that India initially hesitated to actively engage in anti-China security cooperation with Japan until the mid-2010s, but later adopted a more proactive partnership. An analysis of policy documents, political speeches, and government records attributes India's initial reluctance to its commitment to non-alignment and strategic autonomy, its desire to balance relations with both China and Japan, and its domestic political priorities favoring economic development over military expansion or strategic alliances. However, growing concerns over China's assertiveness, military modernization, a change in political leadership, and the Quad's development as a regional security platform have prompted India's attitude shift. The research's recommendations not only offer a roadmap for India, Japan, and other Indo-Pacific countries with deep economic ties to China, but also help combat China's military threats to contribute to regional stability and security, address common challenges, and foster a peaceful and prosperous Indo-Pacific region. [ABSTRACT FROM AUTHOR]

This paper attempts to bring queer perspectives to interfaith dialogue in India. It will first consider what is interfaith dialogue and will situate interfaith dialogue within the framework of a theology of religions and a theology of missions. It will then offer an evaluation of some works accomplished by National Council of Churches in India with regard to the question of interfaith dialogue and sexuality. Finally, it will look at whether Christians in interfaith dialogue can learn anything from a queer reading of Hindu sacred texts. [ABSTRACT FROM AUTHOR]

This paper reports a study to interpret the surface temperature based on time series and fuzzy measures. We demonstrated a method to identify the uncertainty around the surface temperature data concerning the summer monsoon in India. The random variables were standardized, and the Dempster-Shafer Theory was used to generate common goals. Two criteria, represented as fuzzy numbers, were used for this purpose. We constructed three polynomials to illustrate a functional connection between time series and the measure of joint belief. The analysis of the obtained results showed that the certainty increased over time. It confirmed that the degree of the evidence is a more predictable parameter at a more extended period. [ABSTRACT FROM AUTHOR]

The genus Vigna has several crop species that could be used to feasibly address nutritional security challenges in the subtropical and tropical regions of the world, particularly in climate-changing scenarios. Wild taxa of Vigna are a source of economically important traits and need to be studied. Out of the 34 wild Vigna species reported in India, 928 indigenous accessions belonging to 19 wild Vigna are conserved in India's National Genebank (INGB) housed at the National Bureau of Plant Genetic Resources, New Delhi. Geospatial mapping has identified diversity-rich areas and the Western Ghats region exhibits the highest Shannon diversity values (H = 1.65–3.0). Using the complementarity procedure, six diversity hotspots were identified for the 34 wild Vigna, and these require utmost priority for exploration and germplasm collection. Due to the meagre amount of information available for wild Vigna, the BioClim model was used to successfully predict the Idukki district of Kerala as a suitable site for germplasm-collecting expeditions. Coastal areas identified as rich in twelve wild taxa, V. bourneae, V. dalzelliana, V. marina, V. sublobata, V. subramaniana, V. vexillata, V. stipulacea, V. trilobata, and V. trinervia, require immediate attention to protect hotspots as well as to collect accessions from these areas for ex situ conservation. A hotspot in the protected forest of Anshi National Park and Bhagwan Mahavira Wildlife Sanctuary was identified as an ideal spot for possible in situ conservation of V. konkanensis, V silvestris, and V. sublobata. The 15 wild Vigna species do not have representation in the INGB, and 11 Vigna species have been identified as endemic species to India. Priority needs to be given to these species for focussed exploration and germplasm collection. This paper discusses the future focus on explorations to be carried out for the collection of the germplasm of wild Vigna species. [ABSTRACT FROM AUTHOR]

The Air Quality Index (AQI) dataset contains information on measurements of pollutants and ambient air quality conditions at certain location that can be used to predict air quality. Unfortunately, this dataset often has many missing observations and imbalanced classes. Both of these problems can affect the performance of the prediction model. In particular, predictions for the minority class are very important because inaccurate predictions can be fatal or cause big losses. Moreover, the missing data may lead to biased results. This paper proposes the single imputation of the median and the multiple imputations of the k -Nearest Neighbor (KNN) regressor to handle missing values of less than or equal to 10% and more than 10%, respectively. At the same time, the SMOTE-Tomek Links address the imbalanced class. These proposed approaches to handle both issues are then used to assess the air quality prediction of the India AQI dataset using Naive Bayes (NB), KNN, and C4.5. The five treatments show that the proposed method of the Median-KNN regressor-SMOTE-Tomek Links is able to improve the performance of the India air quality prediction model. In other words, the proposed method succeeds in overcoming the problems of missing values and class imbalance. [ABSTRACT FROM AUTHOR]

This paper analyzes the potential of solar thermal systems for being employed for process heating in cotton-based textile industries. The technological capability of a flat plate collector (FPC) to meet the solar industrial process heating (SIPH) requirement in yarn production is assessed. Moreover, the usability of a parabolic trough collector (PTC) in meeting the technological mandates of SIPH in fabric processing units is critically examined. Further, this paper reports the findings of a study on the potential cost advantage of solar process heating over the conventional process heating practices in cotton-based textile industries. The approach involves the selection of the locations of sample textile industries and the employable solar collector technologies, as well as assessment of financial reward, if any. Eight different cotton-based textile industries located in different geographical domains (in India) are selected. The selected textile industries are situated within the textile hubs existing in different states across India. Analysis of technoeconomic benefit derivable in selected textile industries using FPC for hot water generation and PTC for steam generation is presented. In the case of FPC-based SIPH systems, the maximum value of solar fraction is estimated to be 0.30 and the corresponding estimation for the levelized cost of useful thermal energy (LCUTE) delivered comes out as INR 790/GJ to INR 1020/GJ. On the other hand, in case of parabolic-trough-solar-concentrator-based SIPH systems, LCUTE is estimated in the range of INR 1030/GJ to INR 1610/GJ. From a critical analysis of financial viability in consideration of related factors such as payback time and return on investment in SIPH, it appears that the SIPH systems for hot water generation may be a good choice, whereas SIPH systems for steam generation are seen to have longer payback periods and lower returns on investment, and, therefore, it seems that adequate financial support from central and state governments with additional supports from bilateral or multilateral organizations may enable them to become a sustainable technology option. [ABSTRACT FROM AUTHOR]

Engineering is traditionally considered a male domain with lower female participation despite various affirmative actions taken in recent decades. There is evidence of greater gender equality as a result of the COVID-19 pandemic and precautionary lockdown measures. With this in mind, this paper investigates whether women engineers in India were more adversely affected than their male counterparts by the COVID-19 pandemic. Such an impact may be explained by 'intersectional stigma', expanded upon in the literature on discrimination. The impact of such stigma varies in different countries based on socio-cultural factors. Through the use of ethnographic and statistical research methods on secondary and primary data from a sample of 384 engineers, this paper shows that the impact of COVID-19 is not significantly different between genders in engineering education and employment. This may be due to the high demand for digital engineering skills, and strong family support in Indian society. Engineering branch may play a relatively more important role than gender in terms of impact. This finding has repercussions for continuing engineering education (CEE) programs and regulatory bodies in India in terms of enhancing course content and the results may be used in developing affirmative programs in other regions. [ABSTRACT FROM AUTHOR]

Power generation using wind has been extensively utilised, with substantial capacity add-on worldwide, during recent decades. The wind power energy sector is growing, and has turned into a great source of renewable power production. In the past decades of the 21st century, the capacity of installed wind energy has almost doubled every three years. This review paper presents the crucial facets and advancement strategies that were approved and adopted by the Government of India for intensifying the country's own power safety, by the appropriate use of existing power sources. From India's viewpoint, wind energy is not only utilized for power production but also to provide power in a more economical way. The particulars of India's total energy production, contributions of numerous renewable sources and their demand are also encompassed in this paper. After an exhaustive review of the literature, detailed facts have been identified about the present position of wind energy, with an emphasis on government achievements, targets, initiatives, and various strategic advances in the wind power sector. Wind power potential is discussed, which can assist renewable power companies to select efficient and productive locations. All analyses carried out in this paper will be incredibly valuable to future renewable energy investors and researchers. The current scenario of wind power production in India is also paralleled with that of other globally prominent countries. [ABSTRACT FROM AUTHOR]

This paper evaluates India's first officially approved self-administered rapid antigen test kit against COVID-19, a device called CoviSelf. The context is rural India. Rapid antigen tests (RATs) are currently popular in situations where vaccination rates are low, where sections of the community remain unvaccinated, where the COVID-19 pandemic continues to grow and where easy or timely access to RTPCR (reverse transcription-polymerase chain reaction) testing is not an option. Given that rural residents make up 66% of the Indian population, our evaluation focuses on the question of whether this self-administered RAT could help protect villagers and contain the Indian pandemic. CoviSelf has two components: the test and IT (information technology) parts. Using discourse analysis, a qualitative methodology, we evaluate the practicality of the kit on the basis of data in its instructional leaflet, reports about India's 'digital divide' and our published research on the constraints of daily life in Indian villages. This paper does not provide a scientific assessment of the effectiveness of CoviSelf in detecting infection. As social scientists, our contribution sits within the field of qualitative studies of medical and health problems. Self-administered RATs are cheap, quick and reasonably reliable. Hence, point-of-care testing at the doorsteps of villagers has much potential, but realising the benefits of innovative, diagnostic medical technologies requires a realistic understanding of the conditions in Indian villages and designing devices that work in rural situations. This paper forms part of a larger project regarding the COVID-19 pandemic in rural India. A follow-up study based on fieldwork is planned for 2022–2023. [ABSTRACT FROM AUTHOR]

Energy and electricity are critical prerequisites for every nation and critical components of social and economic growth. The monetary policy economist has been debating the issue of relying on core inflation or headline inflation, which includes energy, because the energy price is so volatile that it obscures the trend in inflation and dilutes the objectives of monetary policy. This paper aims at analyzing the impact of the twin deficit on energy inflation within a linear and nonlinear framework in India using time series data covering the period from 1971 to 2021. ARDL and NARDL approaches are employed to investigate the linear/symmetric response of energy inflation due to the twin-deficit in India. Estimates show a negative relationship between the twin-deficit and energy inflation in a symmetric model. The results of the asymmetric model reveal that the response of energy inflation due to expansionary fiscal policy (increment in CFD) and contractionary fiscal policy (decline in CFD) is diverse, in terms of size of the coefficient. Further, estimates of NARDL show the distinct impact of increases and decreases in CAD on energy inflation. The study offers several implications for policymakers and energy economists. [ABSTRACT FROM AUTHOR]

There are a plethora of plant species in India, which have been widely used in vegetable dishes, soups, desserts and herbal medicine. In addition to these traditional uses, today there is the extra possibility of also being able to use these plants in the nutritional supplements industry due to their favorable antioxidant and mineral composition. In this sense, thirteen vegetable species—Chanania lanzan, Ziziphus mauritiana, Nilumbo nucifera, Terminalia catappa, Terminalia arjuna, Terminalia bellirica, Terminalia chebula, Lagenaria siceraria, Luffa aegyptiaca, Praecitrullus fistulosus, Benincasa hispida, Citrullus lanatus var. lanatus and Cucurbita maxima—have been analyzed. In this paper we discuss the distribution of polyphenols and minerals (Na, K, Mg, Ca, Al, P, S, Cr, Mn, Fe, Cu, Zn, Mo, As and Pb) in different seed parts (the rhizome, pericarp, carpel, seed coat and kernel) of the above species and their possible use in the nutritional supplements industry. The concentrations of total polyphenols, flavonoids and minerals ranged from 407 to 3144 mg rutin hydrate/100 g, 24 to 3070 mg quercetin/100 g and 1433 to 7928 mg/100 g, respectively. K, Ca, P and S were abundant in these herbal fruits. In two species of herbal fruits, Terminalia arjuna and Terminalia chebula, only part of the seed structure was suitable for use in nutritional supplements. [ABSTRACT FROM AUTHOR]

Sociological scholarship, economic theory, and empirical studies all indicate that interpersonal relationships are valuable productive assets and deserve to be formally incorporated into the study of human development. This paper employs the India Human Development Survey to examine, using OLS and logistic regressions, the impact of different dimensions of social capital on multiple proxies for household welfare. Social capital in the form of memberships in local community organizations and social network connections has a statistically and economically significant association with household consumption expenditures, physical asset ownership, and the probability of a household living in poverty. Households that are members of any formal community organization are expected to have higher monthly per capita consumption expenditures than households without any memberships. Estimates of a similar magnitude are observed when modeling a household's stock of physical assets, a longer-term indicator of economic welfare. These indicators of social capital are also significantly associated with lower odds of a household living below the poverty line. Organizational memberships and social networks are also associated with considerably higher odds of a household assessing its own economic situation positively. Overall, social capital is a catalyst for increasing household welfare along multiple dimensions, and, therefore, a critical area of focus for economists, sociologists, development practitioners, and policymakers. [ABSTRACT FROM AUTHOR]

The wheel was the first form of transportation developed by early people. Increasing population, longer distances, and shorter travel times need more cheap, faster modes of transportation. Environmental issues were never taken into account when choosing the most cost-effective mode of public transportation. Consequently, in the face of global pollution and warming restrictions, all stakeholders choose modes of transportation with little environmental impact. This has led to the development of sustainable transportation infrastructure, particularly in a country as rapidly developing as India. This paper examines the present situation, legislation, and grading systems for sustainable transportation in India and other developing nations. Furthermore, comparisons of India with developing nations of various continents in different aspects are also present. The difference in cost between a private car and a public vehicle indicates which form of transportation should be chosen. The challenges linked with urban and rural Indian roadways are explored, as well as their respective solutions. In order to accomplish sustainable transportation, traffic density and driver conduct are also considered. This study emphasises that sustainability is not just achieved through the use of cleaner fuel or the modification of road materials, although these are vital. Road design, regulatory changes, psychological behaviour, and transit safety are also crucial. [ABSTRACT FROM AUTHOR]

It is important to understand the features of an integrated renewable energy power system, especially for deregulated systems. The greatest obstacle to assimilating renewable energy generators with the existing electrical system is their unpredictability. Because wind energy is inconsistent, incorporating it into an established power system necessitates more planning. The effects of wind farm (WF) incorporation with fuel cells and a unified power flow controller (UPFC) on electric losses, voltage profile, generating price, and the economics of the system in a deregulated power market are examined in this paper. An impact analysis of integrating wind farms into controlled and uncontrolled situations is conducted. At two randomly selected locations in India, the real-time statistics of the actual wind speed (AWS) and forecasted wind speed (FWS) were merged for this study. The surplus charge rate and deficit charge rate are intended to evaluate the imbalance cost which is arising from the difference between anticipated and true wind speeds to determine the economics of the system. Customers are always trying to find electricity that is reliable, inexpensive, and efficient due to the reconfiguration of the power system. As a consequence, the security limitations of the system may be surpassed or might function beyond the safety limit, which is undesirable. In the last section, heuristic algorithms, such as sequential quadratic programming (SQP), artificial bee colony algorithms (ABC), and moth-flame optimization algorithms (MFO), are employed to analyze economic risk. In the real-time energy market, it also covers how the fuel cells and UPFC are utilized to rectify the WF integration's deviation. Economic risk evaluation approaches include value-at-risk (VaR) and conditional value-at-risk (CVaR). A modified IEEE 30-bus test system is used throughout the whole project. [ABSTRACT FROM AUTHOR]

Relation-theories—theories on the metaphysical status of relations—have for some time stood at the center of disputes between realism and idealism. To such disputes, this paper contributes insights from an understudied premodern source, the Sambandhasiddhi (Proof of Relation). Its author Utpaladeva (c. 925–975 C.E.) is the Śaiva philosopher of India best known as an innovator in the Pratyabhijñā (Doctrine of Recognition) school of Kashmiri Śaivism. This lesser-known late text shows Utpaladeva deploying an even more explicitly Bhartṛharian grammatical view of reality than he had previously. He argues against his chief rival and predecessor, the Buddhist epistemologist, Dharmakīrti (c. 6th or 7th C.E.), while modifying the latter's epistemic idealism to an objective idealism. This text differs from Utpaladeva's prior works in its sustained attack on Dharmakīrti's nominalism and citation of the Buddhist's own writings. The Sambandhasiddhi accordingly offers an interesting glimpse at a sustained treatment on relations, a topic that is important to Utpaladeva's prior arguments, but that he considered perhaps not sufficiently developed, so as to warrant a separate treatment. A few brief comments are also offered on how Utpaladeva's relation-theory might fit alongside Russell's disputes with Bradley over relations, and Utpaladeva's affinity with Peircean semiosis. [ABSTRACT FROM AUTHOR]

Simple Summary: Authentic species-level identification is key to many fields of entomology, especially insect pest management and biosecurity. Bamboo, known as "Poor Man's Timber" and "Green Gold", is one of the fastest growing plants on earth. Bamboo and food grain crops (rice and wheat, for example) belong to the same family (Poaceae), so there is a chance of host shift because of global climate change and extensive cultivation. In the present study, the colour polymorphism of the bamboo-feeding leafhopper Mukaria splendida is highlighted, along with additional geographical distribution records. The integration of the morpho-molecular data confirmed that all the colour morphs belonged to the same species, M. splendida. The leafhopper species, Mukaria splendida Distant, is economically important due to itsstatus as a pest on bamboo and was recently reported to bea vector for phytoplasmal disease. Morphological identification is often difficult and requires a high level of taxonomic expertise, with misidentifications causing problematic false-positive/negative results. In this paper, colour polymorphism was recorded in the bamboo-feedingleafhopper M. splendida (Distant, 1908), which is a major insect pest in the bamboo ecosystem based on explorations conducted in different locations of India. Ten morphs were identified for each sex of M. splendida Distant based on the colour pattern on the pronotum and forewings. However, in view of the economic importance of the species, the morphological studies were integrated with the molecular data for the accurate identification of the species. The morphological characteristics and sequence results of the amplified product of the mitochondrial cytochrome oxidase subunit I (mtCOI) gene confirmed that all the morphs were M. splendida and the pairwise distance matrix showed a negligible genetic distance in the COI mtDNA gene. Simulated future predictions, along with detailed notes on the colour polymorphic forms with illustrations, and additional distribution records as well as thebiology of M. splendida were discussed in light of the available literature, all of which will aid the authentic identification of this species. [ABSTRACT FROM AUTHOR]

To monitor the spread of the novel coronavirus (COVID-19), India, during the last week of March 2020, imposed national restrictions on the movement of its citizens (lockdown). Although India's economy was shut down due to restrictions, the nation observed a sharp decline in particulate matter (PM) concentrations. In recent years, Delhi has experienced rapid economic growth, leading to pollution, especially in urban and industrial areas. In this paper, we explored the linkages between air quality and the nationwide lockdown of the city of Delhi using a geographic information system (GIS)-based approach. Data from 37 stations were monitored from 12 March, 2020 to 2 April, 2020 and it was found that the Air Quality Index for the city was almost reduced by 37% and 46% concerning PM2.5 and PM10, respectively. The study highlights that, in regular conditions, the atmosphere's natural healing rate against anthropogenic activities is lower, as indicated by a higher AQI. However, during the lockdown, this sudden cessation of anthropogenic activities leads to a period in which the natural healing rate is greater than the induced disturbances, resulting in a lower AQI, and thus proving that this pandemic has given a small window for the environment to breathe and helped the districts of Delhi to recover from serious issues related to bad air quality. If such healing windows are incorporated into policy and decision-making, these can prove to be effective measures for controlling air pollution in heavily polluted regions of the World. [ABSTRACT FROM AUTHOR]

This paper mainly dealt with the technical and economic feasibility of an off-grid hybrid power generation system for a remote rural Turtuk village of Ladakh, located in the northern part of India. The study showed that the proposed configured renewable integrated hybrid system, using Hybrid Optimization of Multiple Energy Resources (HOMER) software, efficiently met the energy demand, exhibiting optimum performance with low investment. The proposed PV(115 kW)/Wind(1 kW)/Battery(164 strings of 6 V each)/DG(50 kW) hybrid system was a highly commendable, feasible solution preferred from a total of 133,156 available solutions resulting from HOMER simulations. The net present cost and energy cost of the proposed configuration were $278,176 and $0.29/kWh, respectively. The proposed hybrid configuration fulfilled local load, with 95.97% reduced dominant harmful carbon dioxide emission, as compared to the sole us of a diesel generator power supply system. The technical performance of the hybrid system was ensured, with advantages including the highest renewable penetration and least unmet load. Furthermore, the analysis exclusively evaluated the impact of the system's economic parameters (namely, its expected inflation rate, nominal discount rate, and project lifetime) on the net present cost and cost of energy of the system using a noble single fix duo vary approach. [ABSTRACT FROM AUTHOR]

Buddhist heritage in India is receiving reasonable attention for tourism development with a particular emphasis on promoting Buddhist circuits. One Buddhist pilgrimage circuit covering eight locations including four most sacred places, namely, Bodhgaya, Sarnath, Kushinagar, and Lumbini, is popular for spiritual and religious reasons. Fieldwork conducted in these four sites reveals complex patterns of visitation that question the idea of a circuit as a tourism product. The primary circuit-goers are foreign Buddhist followers, but the magnitude of their visitation is very low. They constitute less than 10 percent of visitors and are far outnumbered by domestic visitors. Domestic visitors driven by recreational purposes hardly complete the entire circuit; their visits are directed to two popular sites while other sites are used as "middle-of-the-trip centers" or places for daytrips. The interviews with various stakeholders including religious institutions, private tour operators, and relevant government agencies, show that the itineraries of circuit-goers depend on several factors including the convenience of travel, accommodation facilities, the ability to perform pilgrimage rituals, and institutional governance for tourism. This paper argues that Buddhist pilgrimage circuits operate more as a cultural landscape at a cognitive level rather than as a distinct physical route and a product that can be effectively translated into as strategy for tourism development in Buddhist sites. [ABSTRACT FROM AUTHOR]

Antibiotic resistance is a pressing global, one health and planetary health challenge. Links between climate change, antibiotic use, and the emergence of antibiotic resistance have been well documented, but less attention has been given to the impact(s) of earth systems on specific bacterial livestock diseases at a more granular level. Understanding the precise impacts of climate change on livestock health—and in turn the use of antibiotics to address that ill-health—is important in providing an evidence base from which to tackle such impacts and to develop practical, implementable, and locally acceptable solutions within and beyond current antibiotic stewardship programs. In this paper, we set out the case for better integration of earth scientists and their specific disciplinary skill set (specifically, problem-solving with incomplete/fragmentary data; the ability to work across four dimensions and at the interface between the present and deep/geological time) into planetary health research. Then, using a case study from our own research, we discuss a methodology that makes use of risk mapping, a common methodology in earth science but less frequently used in health science, to map disease risk against changing climatic conditions at a granular level. The aim of this exercise is to argue that, by enabling livestock farmers, veterinarians, and animal health observatories to better predict future disease risk and risk impacts based on predicted future climate conditions, earth science can help to provide an evidence base from which to influence policy and develop mitigations. Our example—of climate conditions' impact on livestock health in Karnataka, India—clearly evidences the benefit of integrating earth scientists into planetary health research. [ABSTRACT FROM AUTHOR]

Energy harnessing from renewable energy sources has become more flexible with power electronic technologies. Recent advancements in power electronic technologies achieve converter efficiency higher than 98%. Today, reliable power electronic devices are needed to design a PV-based energy converter (inverter) to reduce the risk of failure and maintenance costs during operation. Wide-bandgap SiC devices are becoming more common in power electronic converters. These devices are designed to reduce switching loss and improve the efficiency of the system. Nevertheless, the cost of SiC devices is a major concern. Hence, to improve the reliability of the PV inverter while considering the economic aspects, this paper develops a highly reliable PV inverter with a hybrid Si/SiC power module that consists of a Si-IGBT with a SiC anti-parallel diode. A test case of a 3 kW PV inverter is considered for reliability analysis. The loading of the PV inverter is done under uncertain environmental conditions by considering the yearly Mission Profile (MP) data related to Ambient Temperature (AT) and Solar Irradiance (SI) at the India and Denmark locations. The effectiveness of the proposed hybrid Si/SiC power module is tested by comparing it with a conventional IGBT power module. The results showcase the marked improvement in PV inverter reliability with the proposed hybrid power module. [ABSTRACT FROM AUTHOR]