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2. Applications of Machine Learning for Face Mask Detection During COVID-19 Pandemic

Author

Khan, Sarfraz Fayaz, Khan, Mohammad Ahmar, Al-Quadah, Rabiah, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Borah, Malaya Dutta, editor, Laiphrakpam, Dolendro Singh, editor, Auluck, Nitin, editor, and Balas, Valentina Emilia, editor

Published
2024
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22. Assessment of hepatoprotective, nephroprotective efficacy, and antioxidative potential of Moringa oleifera leaf powder and ethanolic extract against PCOS‐induced female albino mice (Mus Musculus)

Author

Khalid, Shakeela, primary, Arshad, Muhammad, additional, Raza, Komal, additional, Mahmood, Shahid, additional, Siddique, Farzana, additional, Aziz, Nida, additional, Khan, Sarfraz, additional, Khalid, Waseem, additional, AL‐Farga, Ammar, additional, and Aqlan, Faisal, additional

Published
2023
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33. Estimation of VS30using shallow depth time-averaged shear wave velocity of Rawalpindi–Islamabad, Pakistan

Author

Adeel, Muhammad Bilal, Nizamani, Zubair Ahmed, Aaqib, Muhammad, Khan, Sarfraz, Rehman, Jawad Ur, Bhusal, Bikram, and Park, Duhee

Abstract

AbstractThe time-averaged shear wave velocity of top 30 m (VS30) is the most commonly used parameter to classify a site and evaluate its amplification characteristics for the seismic design. The in-situ seismic tests must be performed up to a depth of 30 m for obtaining the shear wave velocity (VS) profiles to estimate VS30. It is intimated that, in most of the cases, the measured VSprofile does not extend up to 30 m due to numerous reasons including limitation of testing techniques and unfavorable field conditions. Since, the measurements of VS30are unavailable for the majority of Pakistan and the world, the local geology and topographic slope or its combination are used to estimate VS30. However, there is no field-based validation of the estimated VS30is performed in Islamabad–Rawalpindi region, the proxy-based estimation may lead to unrealistic results. To accommodate this, region specific extrapolation methods are developed. This study develops an empirical data-driven function of VS30from shallow VSprofiles by correlating VS30with the time-averaged VSto depths less than 30 m. In this regard, 85 VSprofiles are used from Rawalpindi-Islamabad region. A comparative analysis of the proposed procedure is carried out with the published methods. It is revealed that VS30predicted by the proposed function results in close matches with the data measured in the western United States. In addition, the results indicate that the local geology and topographic slope proxies may not be acceptable for usage in the region due to their greater uncertainty. Finally, a procedure for extrapolating the VSprofile from available shallow depth measurements up to 30 m is proposed.

Published
2023
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43. Director and officer liability and corporate tax avoidance.

Author

Khan, Sarfraz, Park, Sung‐Jin, Veliotis, Stanley, and Wald, John K.

Subjects
CORPORATE taxes, EXECUTIVES, EXECUTIVES' liability insurance, TAX rates, INCORPORATION, CORPORATE tax laws, LEGAL liability
Abstract

We use the unique nature of the director and officer liability protection law applicable to Nevada incorporated firms to study how liability protection is related to corporate tax avoidance. We find that firms incorporated in Nevada avoid 32% more federal corporate tax as a fraction of total assets than firms incorporated in Delaware, and 40% more than firms incorporated in other states. Nevada‐incorporated firms have a 15% lower cash effective tax rate and an 8% lower GAAP ETR. The results are robust to various specifications including instrumental variable and matching approaches. Greater tax avoidance is also associated with lower payouts to shareholders for Nevada‐incorporated firms. The findings are consistent with theories about the complementarity of managerial diversion and tax avoidance for firms with poor monitoring, and they demonstrate how increases in liability protection lead to the unintended consequence of greater firm tax avoidance. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Atmospheric Water Generator

Author

Khan, Nooman, primary, Khan, Sarfraz, additional, Khorajiya, Qais, additional, Sairan, Jamdar, additional, and Gulbarga, Prof. M.A., additional

Published
2022
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