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5,830 results on '"Kaur, Manpreet"'

168. Wastewater Surveillance for Influenza A Virus and H5 Subtype Concurrent with the Highly Pathogenic Avian Influenza A(H5N1) Virus Outbreak in Cattle and Poultry and Associated Human Cases-United States, May 12-July 13, 2024

Author

Louis, Souci, Mark-Carew, Miguella, Biggerstaff, Matthew, Yoder, Jonathan, Boehm, Alexandria B., Wolfe, Marlene K., Flood, Matthew, Peters, Susan, Stobierski, Mary Grace, Coyle, Joseph, Leslie, Matthew T., Sinner, Mallory, Nims, Dawn, Salinas, Victoria, Lustri, Layla, Bojes, Heidi, Shetty, Varun, Burnor, Elisabeth, Rabe, Angela, Ellison-Giles, Guinevere, Yu, Alexander T., Bell, Austin, Meyer, Stephanie, Lynfield, Ruth, Sutton, Melissa, Scholz, Ryan, Falender, Rebecca, Matzinger, Shannon, Wheeler, Allison, Ahmed, Farah S., Anderson, John, Harris, Kate, Walkins, Austin, Bohra, Surabhi, O'Dell, Victoria, Guidry, Virginia T., Christensen, Ariel, Moore, Zack, Wilson, Erica, Clayton, Joshua L., Parsons, Hannah, Kniss, Krista, Budd, Alicia, Mercante, Jeffrey W., Reese, Heather E., Welton, Michael, Bias, Megan, Webb, Jenna, Cornforth, Daniel, Santibanez, Scott, Soelaeman, Rieza H., Kaur, Manpreet, Kirby, Amy E., Barnes, John R., Fehrenbach, Nicole, Olsen, Sonja J., and Honein, Margaret A.

Subjects
Avian influenza -- Analysis, Milk -- Analysis, Respiratory tract diseases -- Analysis, Wastewater -- Analysis, Avian influenza viruses -- Analysis, Poultry industry -- Analysis, Cattle -- Analysis, Sewage -- Purification
Abstract

Introduction Wastewater surveillance is used to monitor human shedding of pathogens, including SARS-CoV-2, at a community level and is independent of symptoms, testing access, and care-seeking behavior (1). Some sites [...]

Published
2024

177. Quantum imaging of a polarisation sensitive phase pattern with hyper-entangled photons

Author

Kaur, Manpreet and Singh, Mandip

Subjects
Quantum Physics
Abstract

A transparent polarisation sensitive phase pattern makes a polarisation dependent transformation of quantum state of photons without absorbing them. Such an invisible pattern can be imaged with quantum entangled photons by making joint quantum measurements on photons. This paper shows a long path experiment to quantum image a transparent polarisation sensitive phase pattern with hyper-entangled photon pairs involving momentum and polarisation degrees of freedom. In the imaging configuration, a single photon interacts with the pattern while the other photon, which has never interacted with the pattern, is measured jointly in a chosen polarisation basis and in a quantum superposition basis of its position which is equivalent to measuring its momentum. Individual photons of each hyper-entangled pair cannot provide a complete image information. The image is constructed by measuring the polarisation state and position of the interacting photon corresponding to a measurement outcome of the non-interacting photon. This paper presents a detailed concept, theory and free space long path experiments on quantum imaging of polarisation sensitive phase patterns., Comment: 13 pages, 7 figures

Published
2021
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182. Indian Government Initiatives on Cyberbullying: A Case Study on Cyberbullying in Indian Higher Education Institutions

Author

Kaur, Manpreet and Saini, Munish

Abstract

In the digitally empowered society, increased internet utilization leads to potential harm to the youth through cyberbullying on various social networking platforms. The cyberbullying stats keep on rising each year, leading to detrimental consequences. In response to this online threat, the Indian Government launched different helplines, especially for the children and women who need assistance, various complaint boxes, cyber cells, and made strict legal provisions to curb online offenses. This research evaluates the relevant initiatives. Additionally, a survey is conducted to get insights into cyberbullying in higher education institutions, discussing multiple factors responsible for youth and adolescents being cyberbullied and a few measures to combat it in universities/colleges.

Published
2023
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200. On the role of Initial Error Growth in the Skill of Extended Range Prediction of Madden-Julian Oscillation (MJO)

Author

S, Lekshmi, Chattopadhyay, Rajib, Kaur, Manpreet, Joseph, Susmitha, Phani, R., Dey, A, Mandal, R., and Sahai, AK.

Subjects
Physics - Atmospheric and Oceanic Physics, Physics - Data Analysis, Statistics and Probability, Physics - Geophysics
Abstract

The seamless forecast approach of subseasonal to seasonal scale variability has been succeeding in the forecast of multiple meteorological scales in a uniform framework. In this paradigm, it is hypothesized that reduction in initial error in dynamical forecast would help to reduce forecast error in extended lead-time up to 2-3 weeks. This is tested in a version of operational extended range forecasts based on Climate Forecast System version 2 (CFSv2) developed at Indian Institute of Tropical Meteorology (IITM), Pune. Forecast skills are assessed to understand the role of initial errors on the prediction skill for MJO. A set of lowest and highest initial day error (LIDE & HIDE) cases are defined and the error-growth for these categories are analysed for the strong MJO events during May to September (MJJAS). The MJO forecast initial errors are categorized and defined using the well-known multivariate MJO index introduced by Wheeler &Hendon (2004). The probability distribution of bivariate RMSE and error growth evolution (first order difference of index error for each successive lead days) with respect to extended range lead-time are used as metrics in this analysis. The result showed that initial error is not showing any influence in the skill of model after a lead time of 7-10 days and the error growth remains the same for both set of errors. A rapid error growth evolution of same order is seen for both the classified cases. Further the physical attribution of these errors is studied and found that the errors originate from the events with initial phase in Western Pacific and Indian Ocean. The spatial distribution of OLR and the zonal winds also confirms the same. The study emphasises the importance of better representation of MJO phases especially over Indian ocean in the model to improve the MJO prediction rather than focusing primarily on the initial condition, Comment: 27 pages, 9 figures

Published
2021

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