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The majestic River Ganga is a sacred environment which nurtures more than 650 million people in her large watershed. The Ganga has proved resilient despite the multiple, enormous, environmental stressors placed on her. The Laurentian Great Lakes have also faced severe environmental degradation and the lessons learned there over the past 50 years can provide guidance for the remediation and restoration of the Ganga. One of the more important lessons is defining Beneficial Use Impairments to focus remediation efforts in degraded Areas of Concern. This paper provides a case study of one such impairment, Eutrophication or Undesirable Algae, and shows how it can be applied as part of a broader Ecosystem Approach towards the identification and selection of Ganga Areas of Concern. The 10 proposed Ganga Areas of Concern are intended to provide guidance to all stakeholders on how and where to focus remediation efforts on the Ganga, and similar ecosystems throughout the world. [ABSTRACT FROM AUTHOR]

India being a dynamic emerging economy, with religious and cultural diversity, is home to 0.172 billion Muslims, that is 14.2 percent of the population at all India level living as the financially excluded minority community in the country. The Indian Muslims according to Sachar Committee Report (2005) are the financially 'excluded' community and are not the major beneficiary of Govt. schemes." The Reports/Commissions such as Ranganathan Misra Committee (2007); Mahmoodur Rahman Committee (2008); Sudhir Commission Report (2016) and Commission of Inquiry (Telangana 2016), reveal that Muslims in India, are living in pathetic conditions with underdeveloped socio-economic and educational setup. In this context, the current paper aims to-explore through qualitative analysis the possible dimensions of social finance and to evaluate the current socio-economic conditions of Muslims in India. This study will be an attempt to assess the potential of Islamic social finance institutions, namely the zakat and the waqf, for community upliftment in a much broader national context. [ABSTRACT FROM AUTHOR]

The waste from healthcare facilities (HCFs) is most devastating as they induce health hazards and pollute the environment. The effective management of biomedical waste is an essential function of the state governments, depending on state policies and facilities in HCFs. The performance assessment at the state level provides explanatory information for the decision-makers to dispose of biomedical waste. Therefore, this paper aims to establish an effectiveness index for assessing the performance of biomedical waste management for the Indian states. The designed conceptual framework, which acts as the building block for the index, interlinks the technical, managerial, and sustainability dimensions. To assess the existing waste management practices, significant sub-indicators are analyzed for India's northern and southern states. The indicators are transformed into comparable units using the proportionate normalization technique. The weight to the respective indicators follows the entropy method and additive aggregation to form the indices for various states. The developed index allows comparing management practices among the states and highlights the alarming situation. Based on the magnitude of indices values, states are categorized as red, yellow, and green zones. The robustness of the model is validated by performing sensitivity analysis and the cluster analysis tests the reliability of indicators and categorization of states with the existing methodology. The analysis will be useful to the decision-makers of state pollution boards by providing special attention to capacity building and waste prevention technologies. [ABSTRACT FROM AUTHOR]

The variation in bird variety over geography and time is a common indicator for assessing environmental changes. Traditionally, such data was gathered by experienced observers, but passively collect acoustic data is quickly developing as a viable alternative survey technique. Now-a-days, avifaunal diversity has been decline due to the demolition of natural habitation. The aim of the study to identify avifaunal diversity of Rawanwadi reservoir, Rawamwadi District Bhandara, investigation period was from month of November 2020 to October 2022, in and around of Rawanwadi Reservoir. In the present investigation, a total of 39 species of birds were spotted during the current inquiry near the Rawanwadi reservoir. Based on their habitat, such as Residential Common, Winter Visitor, and Uncommon, the birds were divided into different groups. The Avifaunal diversity have been categories in diverse group’s position on their regular migratory habitat residential are as migratory winter traveler, internal migratory visitor, external migratory visitors and external emigratory visitors. [ABSTRACT FROM AUTHOR]

The majestic River Ganga is a sacred environment which nurtures more than 650 million people in her large watershed. The Ganga has proved resilient despite the multiple, enormous, environmental stressors placed on her. The Laurentian Great Lakes have also faced severe environmental degradation and the lessons learned there over the past 50 years can provide guidance for the remediation and restoration of the Ganga. One of the more important lessons is defining Beneficial Use Impairments to focus remediation efforts in degraded Areas of Concern. This paper provides a case study of one such impairment, Eutrophication or Undesirable Algae, and shows how it can be applied as part of a broader Ecosystem Approach towards the identification and selection of Ganga Areas of Concern. The 10 proposed Ganga Areas of Concern are intended to provide guidance to all stakeholders on how and where to focus remediation efforts on the Ganga, and similar ecosystems throughout the world. [ABSTRACT FROM AUTHOR]

Travel demand measures on short-term and long-term basis are very much required for handling the vehicular growth and travel demand. This leads to the idea of developing sustainable societies, where the need of the present generation is met without exploiting the resources of future generations. Sustainability has got worldwide importance in this era. Sustainable cities cannot survive without sustainable mobility. Researchers and policy decision makers, all over the world, are employing policies to promote the use of sustainable modes and to increase the shift towards public transport. The selection and implementation of effective policies are a difficult job. The existing level of sustainability has to be assessed in order to make this task effective. Level of sustainability of a city can be assessed using sustainable indicators. This study analyzed the current transportation scenario of a satellite city, Kazhakuttom, in the State of Kerala in southern India using sustainability indicators identified from the literature. The study contributes to the literature by suggesting a methodology in which areas of intervention were identified by analytical hierarchy process (AHP) based on the users' ranking of indicators. The methodology developed in the study can be applied to other cities, since the results from the study are found to be realistic and close to the existing scenario. [ABSTRACT FROM AUTHOR]

Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer learning, the census-based model is used as a feature extractor to train another model that predicts an even larger set of developmental variables—over 90 variables—included in two rounds of the National Family Health Survey (NFHS). The census-based-feature-extractor model outperforms the current standard in the literature for most of these NFHS variables. Overall, the results show that combining satellite data with Indian Census data unlocks rich information for training deep models that track human development at an unprecedented geographical and temporal resolution. [ABSTRACT FROM AUTHOR]

The manufacturing sector is now facing the challenge of complying with strict environmental regulations due to global warming, lack of natural resources, and waste management issues. Increased environmental problems and awareness lead to the implementation of green production practices by manufacturers worldwide. Green manufacturing (GM) activities form the basis of green and environmentally friendly goods production. There are, however, several possible indicators for GM implementation. There has been some good research on GM indicators, but little research in the Indian automotive industry has to date been undertaken on GM. In this analysis, the Fuzzy Analytical Hierarchy (F-AHP) method is incorporated into the Elimination Et Choix Traduisant La Realite (ELECTRE-I) procedure to define and rank the six main indicators as well as rank the case company's three plants for GM implementation. The proposed framework is accredited by a leading factory manufacturer of steering systems in India. This study shows that Efficiency of Environmental Management System and Hazardous Waste Management are the leading indicators for GM, and plant P1 is the best alternative for the six indicators among the three plants. Our research will support the priority setting of key indicators influencing green manufacturing practices in the automotive industry. [ABSTRACT FROM AUTHOR]

A review of global and national energy research, development, and demonstration (RD&D) investments between 2000 and 2018 reveals that global public energy RD&D and cleaner energy RD&D investments dramatically increased, but then plateaued after 2009. In absolute values, nuclear energy has held steady, fossil energy contracted, and clean energy RD&D quadrupled. As a percentage of overall investments, both fossil fuel and nuclear investments contracted during the period. This review compares the energy innovation priorities of the world's largest economies using the metric of public expenditures on energy RD&D. China and India have become important global public investors in energy innovation, now among the top five globally. Priorities set by the Chinese and Indian governments will thus influence new energy technology breakthroughs in the coming years. The US and Chinese governments are now competing for first place in clean energy RD&D, depending on whether or not nuclear and cross‐cutting technologies are included. India has dedicated substantial funding to indigenizing nuclear power technologies. Energy RD&D by state‐owned enterprises (SOEs) in major emerging economies remains skewed toward fossil fuels and nuclear. Reforming SOE expenditures to move away from fossil fuels could have a major impact on global energy technology trajectories, making a material difference in the quest to decarbonize the energy system. This article is categorized under: TheCarbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles,Behavior [ABSTRACT FROM AUTHOR]

Metapenaeopsis andamanensis , a deep-water penaeid shrimp, plays a significant ecological role in the deep-sea food web. However, studies on its feeding ecology and trophic relationships in the tropical region remain limited. This study aimed to investigate the diet composition of M. andamanensis from the southwest coast of India, focusing on intrinsic factors (size, sex, maturity) and extrinsic factors (seasons), as well as the fatty acid profile. Our findings revealed that M. andamanensis is an active feeder, with females exhibiting higher feeding intensity than males, while immature individuals of both sexes showed minimal feeding activity. Additionally, females displayed a more pronounced carnivorous feeding behavior compared to males. Gut somatic index ranged between 1.1 and 1.42. Feeding conditions varied significantly with seasons, maturity stages, and ontogenetic classes. The primary diet components comprised detritus, foraminifera, and crustaceans, followed by gastropods and fish. Statistical analysis using PERMANOVA indicated significant differences in diet components between sexes and seasons (p < 0.05), sexes and size (p < 0.1), and sexes and maturity stages (p < 0.05). Notably, the percentage composition of diet components exhibited substantial variation with seasons, sex, ontogenetic classes, and maturity stages. Fatty acid analysis revealed an omnivorous-carnivorous feeding strategy of M. andamanensis , characterized by high proportions of essential fatty acids such as 20:5n-3, 22:6n-3, and 18:1n-9, indicating bentho-pelagic feeding activity. The shrimp exhibited notable levels of palmitic acid, oleic acid, EPA, and DHA, which are nutritionally valuable. Seasonal variations in fatty acid profiles were associated with the availability of different food sources. Principal component analysis (PCA) performed on the fatty acid profiles explained 72.4% of the total cumulative variance using the first two dimensions, highlighting the distinct dietary patterns of M. andamanensis based on its stomach contents. • Metapenaeopsis andamanensis plays a significant ecological role in the deep-sea food web. • M. andamanensis exhibit higher feeding intensity with pronounced carnivorous feeding behavior. • Fatty acid profiling of stomach contents provides insights into the trophic relationships. • Feeding intensity varied significantly with seasons, maturity stages, and ontogenetic classes. • Fatty acid analysis of stomach contents serve as trophic markers. [ABSTRACT FROM AUTHOR]

The Odonate diversity of All Saints’ College campus, Thiruvananthapuram, Kerala, India, was documented for 1 year from June 2020 to May2021. The rich source of water bodies on the campus provided an excellent habitat for odonates. Overall, 36 species (26 dragonflies and ten damselflies) belonging to 29 genera and five families were documented. The diversity of odonates was recorded to the maximum in the monsoon season. A comparison of odonate diversity reported from different locations across the state signifies the importance of conserving freshwater ecosystems. [ABSTRACT FROM AUTHOR]