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The purpose of this paper is to adapt teachable machine as a web-based tool for recognition of wear pattern and type of wear by training a convolutional neural network (CNN) model. This helps to monitor the health of the lubricated system as a part of condition monitoring.

Ferrography technique is used for analysis of wear particles. It helps monitor the condition of lubricated mechanical system. In present paper, CNN model is developed for identifying the type of wear particles coming out of Gearbox system using teachable machine.

From the experimentation, it has been observed that the wear severity index has been increased due to increase in wear particle concentration. CNN model has achieved an accuracy of 95.4% to recognize five categories of wear particles.

Teachable machine is generally used for the prediction of images, gestures and sound features. An attempt is made to apply this model for micro and nano wear particles to classify them based on their characteristics.

Since the spread of mass education around the world in the mid- to late-twentieth century, teacher quality has been heralded as the key factor to improve education quality nationwide. National education systems worldwide are also engaged in ongoing and often high stakes cross-national comparisons. As a result, policy-makers and educators in most national education systems are looking at and implementing new ways to improve education overall by raising teacher quality levels, and India is no exception. In India, teacher quality is publicly blamed for both perceived low education quality and demonstrated low average student performance, especially following Indian students’ performance on the 2009 Programme for International Student Assessment. Indian education policy-makers are, therefore, looking at teacher quality as a key factor to improve student performance. Little is known about the impact or implementation of Indian policy frameworks on teacher quality and associated student outcomes in India. This introductory chapter identifies and analyzes various measures of teacher quality and how teacher quality varies in India both in response to and in spite of national policies related to teacher quality. It begins by providing evidence regarding the global importance of teacher quality on student outcomes and then addresses the ambiguity of the term “teacher quality.” This chapter then briefly discussed national education policy in India and the role teacher quality has played in these national policies, especially in the early twenty-first century, including NCF 2005, NCFTE 2009, Draft NPE 2016, Draft NPE 2019, and NPE 2020.

The main purpose of this paper is to investigate drivers and barriers of climate change mitigation strategies (CCMS), their linkages and impact in Indian Iron and Steel Industry (IISI) in light of ninth sustainable development goal (building resilient infrastructure, promote sustainable industrialization and foster innovation).

To identify relevant drivers and barriers, a thorough literature review and opinions of industry experts were obtained. Utilizing Total Interpretive Structural Modeling (TISM), the selected drivers and barriers were modeled separately along with Cross Impact Matrix-multiplication Applied to Classification (MICMAC).

Pragmatic and cost-effective technology, less supply chain complexity, robust policy and legal framework were found to have the highest driving power over all the other drivers. Findings suggest political pressure as the most critical barrier in this study. The results from TISM and MICMAC analysis have been used to elucidate a framework for the understanding of policymakers and achieve top management commitment.

This paper will help researchers, academicians, industry analysts and policymakers in developing a systems approach in prioritizing CCMS in energy-intensive (coal dependent) iron and steel plants. The model outcomes of this work will aid operational research to understand the working principles in other industries as well.

To the best of authors' knowledge, there is paucity of reported literature for the drivers and barriers of CCMS in iron and steel industry. This paper can be considered a unique, first attempt to use data from developing nations like India to develop a model and explain relationships of the existing drivers and barriers of CCMS.

As a solution to these crises, bringing back the feminine sensitivity can become a welcome change. The Bishnoi community, in particular, propagated Eco-feminism for the cause of the environment. Therefore, this paper aims to study the community in detail along with suggesting a Bishnoi Environment Protection Model as an Indian indigenous solution to the global environmental problems.

The method of obtaining information was a detailed questionnaire-based interview along with multiple focus group discussions. The interviews were conducted with the women who belong to the Bishnoi community and who are actively taking forward the ethos of their community. Interviews were conducted across a span of different villages to cover a different portion of the Bishnoi population. Adding to this, multiple focus group discussions took place in the temple, wild-life protection center, Self-help group women's households, community meetings.

Religion and science are complementary and supplementary to each other in the true sense. It would be good to recall what the greatest scientist had said “Science without religion is blind and religion without science is lame”.

The research limitation of this paper is that it is a field study-based research wherein the research findings are the outcomes of personal interviews with the village community people. The limitation, therefore, lies in the simplicity of the research arguments put forward in this paper. The implication of this research would be to challenge the dominant research paradigms in the field of Eco-feminism and Climate Change and bring grass root narratives to the forefront.

The practical implication of this research paper is that in Environment related policy solutions, rural women should be appointed as consultants of advisors in the high profile decision-making policy groups. It would make the process very democratic and rooted in ground-level solutions. If the Bishnoi community women of India are given their due regard they would eventually play significant roles in the decision-making groups at the national and international levels.

Other than having a policy implication, this research paper has a social implication too. The community narratives which have been hidden for so long in the remote villages of India will come to the forefront and help as a guiding force.

This paper recommends that India should propagate its culturally-rooted principles such as the one in Jambhoji's commandments. India should strongly put these normative values in the international organizations and contribute to a new epistemology of knowledge in the counter effect of existing ones. This would make a paradigm shift at the level of the knowledge-power in which the developed nations manipulate the rest of the world. The new terminologies, concepts, agendas, goals should be formulated by deriving the knowledge from age-old communities in India. The people of these communities have even given their lives for the protection of the environment.