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Religions, Women and Discourse of Modernity in Colonial South India
Colonial education and missionary discourse of modernity intensified struggles for continuity and change among the followers of Hinduism and Christianity in nineteenth century India. While missionary modernity was characterised by an emphasis on sociocultural changes among the marginalized women through Christian norms of decency, orthodox Hindus used traditional cultural practices to confront missionary modernization endeavours. This article posits that the discourse of missionary modernity needs to be understood through the principles of Western secular modernity that impelled missionaries to employ decent clothing as a symbol of Christian femininity. It argues that missionary modernity not only emboldened the marginalized women to challenge their ascribed sociocultural standing but also solidified communitarian consciousness among the followers of Hinduism and Christianity substantially. Even though Travancore state defended the entrenched customary practices, including womens attire patterns, with all its potency through authoritative proclamations, it could not dissuade missionaries from converting the marginalized women to missionary modernity. 2022 by the author. -
Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model
The silicon wafer is one of the raw materials used to make semiconductor chipsets. Semiconductor failure or dysfunction could be the result of defects in the layers of this material. As a result, it is essential to work toward the development of a system that is both quick and precise in identifying and classifying wafer defects. Wafer map analysis is necessary for the quality control and analysis of the semiconductor manufacturing process. There are some failure patterns that can be displayed by wafer maps. These patterns can provide essential details that can assist engineers in determining the reason of wafer failures. In this research, a deep-learning-based silicon wafer defect identification and classification model is proposed. The main objective of this research is to identify and classify the silicon wafer defects using the wafer map images. This proposed model identifies and classifies the defects based on the wafer map images from the WM-811K dataset. The proposed model is composed of a pretrained deep transfer learning model called ShuffleNet-v2 with convolutional neural network (CNN) architecture. This ShuffleNet-v2-CNN performs the defects identification and classification process following the workflow of data preprocessing, data augmentation, feature extraction, and classification. For performance evaluation, the proposed ShuffleNet-v2-CNN is evaluated with performance metrics like accuracy, recall, precision, and f1-score. The proposed model has obtained an overall accuracy of 96.93%, 95.40% precision, 96.26% recall, and 95.75% F1-score in classifying the silicon wafer defects based on the wafer map images. 2022 Rajesh Doss et al. -
Tracking Greenfield FDI During the COVID-19 Pandemic: Analysis by Sectors
We study the trends and fluctuations in greenfield foreign direct investment (GFDI) during the first wave of the COVID-19 pandemic crisis on a global scale. We analyse the data of a data set of GFDI provided by fDi Markets (Financial Times) to understand the contraction of GFDI during the first three quarters of the year 2020, taking into account the sector of the investment and the host and home country. We analyse both the long-run trends and the quarter-over-quarter changes in GFDI to capture its fluctuations before and during the first wave of the COVID-19 crisis and the 2008 global financial crisis. Our findings cast light on which countries and industries GFDIs were most affected by the pandemic crisis and draw a comparison to the global financial crisis. To our surprise, many services industries have shown unexpected resilience of GFDI due to the flexibility for remote work. On the contrary, GFDI in the manufacturing industries, as well as the extractives and the utility industries, has shown a dramatic decline during the pandemic. These contractions raise questions of stability and resilience of the global supply chains these industries are a part of. JEL Codes: F21. 2021 Indian Institute of Foreign Trade. -
Sacred texting : A study on social media language trends in New Delhi And Bengaluru churches /
Amity Journal of Media & Communication Studies, Vol.8 Isue 1, pp.24-35, ISSN No: 2231-1033. -
Increasing involvement of artificial intelligence in healthcare with special reference to strokes /
International Journal of Emerging Technologies And Innovative Research, Vol.5, Issue 6, pp.746-751, ISSN No. 2349-5162. -
Crude oil prediction using a hybrid radial basis function network /
Journal of Theoretical and Applied Information Technology, Vol.72, Issue 2, pp.88-96, ISSN No: 1992-8645, 1817-3195. -
Phytocompounds from Zingiber zerumbet can inhibit the DNA ligase activity of the pathogen Haemophilus influenza, an in silico approach /
Journal of Emerging Technologies And Innovative, Vol.6, Issue 2, pp.646-650, ISSN No: 2349-5162. -
Promoting insurance for women through social networking sites /
International Journals of Economics and Business modeling, Vol.6, Issue 1, pp.80-87, ISSN No: 0976-531X. -
Mobile banking technology adoption model: Revisiting the TAM approach /
Journal of Advanced Research In Dynamical And Control Systems, Vol.11, Issue 4, pp.1407-1415, ISSN No: 1943-023X. -
Malayalam kavi Kumaranasan ka yug bodh /
International Journal of Hindi Research, Vol.4, Issue 4, pp.56-58, ISSN No: 2455-2232. -
Digital technology engaging pedagogy through hindi wikipedia- A case study /
Internatioanl Journal of english Langauage Literature In Humanities, Vol.6, Issue 8, pp.234-243, ISSN No: 2321-7065. -
A qualitative study on the reasons for online product
return in India /International Journal For Research In Engineering Application & Management, Vol.4, Issue 12, pp.152-154, ISSN No: 2454-9150. -
A comprehensive review of the Indian retail industry growth /
International Journal of Social And Allied Research, Vol.7, Issue 2, pp.49-53, ISSN No: 2319-3611. -
Exploring the influence of trust on e-tail customer loyalty /
Pacific Business Review International, Vol.11, Issue 5, pp.41-50, ISSN No: 0974-438X. -
Rural consumer preference for mobile phone with reference to villages of Kolar District, Karnataka /
International Journal of Management Studies, Vol.6, Issue 2, pp.16-26, ISSN No: 2249-0302. -
Medical negligence and consumer rights: An analysis /
Law Mantra Journal, Vol.1, Issue 10, pp.500-509, ISSN No: 2321-6417. -
Selection of specialization In management program a decision tree approach /
International Journal For Research In Engineering Application & Management, Vol.4, Issue 11, pp.96-103, ISSN No: 2454-9150. -
Are management graduates market ready? Exploring the relationship between the demographic factors and the perceived level job preparedness /
International Bulletin of Management And Economics, Vol.10, pp.165-175, ISSN No: 2349-7165. -
Did the selected economic variables impact the inflation and GDP growth of India during 1990-2016? /
Sumedha Journal of Management, Vol.7, Issue 3, pp.1-21, Print ISSN No. 2277-6753. Online ISSN No. 2322-0449. -
Beyond the branch: A study of innovative practices in banking services in India /
Journal of Emerging Technologies And Innovative, Vol.6, Issue 1, pp.664-674, ISSN No: 2349-5162.