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16,695 results on '"Subedi, A."'

301. Probing for high-momentum protons in He4 via the He4(e,e′p)X reactions

Author

Iqbal, S, Benmokhtar, F, Ivanov, M, See, N, Aniol, K, Higinbotham, DW, Boyd, C, Gadsby, A, Goodwill, JS, Finton, D, Boyer, A, Gilad, S, Saha, A, Udias, JM, Ye, Z, Solvignon, P, Aguilera, P, Ahmed, Z, Albataineh, H, Allada, K, Anderson, B, Anez, D, Annand, J, Arrington, J, Averett, T, Baghdasaryan, H, Bai, X, Beck, A, Beck, S, Bellini, V, Camsonne, A, Chen, C, Chen, J-P, Chirapatpimol, K, Cisbani, E, Dalton, MM, Daniel, A, Day, D, Deconinck, W, Defurne, M, Flay, D, Fomin, N, Friend, M, Frullani, S, Fuchey, E, Garibaldi, F, Gaskell, D, Gilman, R, Glamazdin, S, Gu, C, Guèye, P, Hanretty, C, Hansen, J-O, Shabestari, M Hashemi, Huang, M, Jin, G, Kalantarians, N, Kang, H, Kelleher, A, Korover, I, LeRose, J, Leckey, J, Lindgren, R, Long, E, Mammei, J, Margaziotis, DJ, Markowitz, P, Meekins, D, Meziani, Z, Michaels, R, Mihovilovic, M, Muangma, N, Camacho, C Munoz, Norum, B, Nuruzzaman, Pan, K, Phillips, S, Piasetzky, E, Pomerantz, I, Posik, M, Punjabi, V, Qian, X, Qiang, Y, Qiu, X, Reimer, PE, Rakhman, A, Riordan, S, Ron, G, Rondon-Aramayo, O, Selvy, L, Shahinyan, A, Shneor, R, Sirca, S, Slifer, K, Sparveris, N, Subedi, R, Sulkosky, V, Wang, D, Watson, JW, and Weinstein, LB

Subjects
Nuclear and Plasma Physics, Physical Sciences, Nuclear and plasma physics
Abstract

Experimental cross sections for the He4(e,e′p)X reactions in the missing energy range from 0.017 to 0.022 GeV and up to a missing momentum of 0.632 GeV/c at xB=1.24 and Q2=2 (GeV/c)2 are reported. The data are compared to relativistic distorted-wave impulse approximation calculations for the He4(e,e′p)H3 channel. Significantly more events are observed for pm≥0.45 GeV/c than are predicted by the theoretical model, and striking fluctuations in the ratio of data to the theoretical model around pm=0.3GeV/c are possible signals of initial-state multinucleon correlations.

Published
2022

302. Integration of Gamified Elements and Learning Style Data in Online Learning System

Author

Shrestha, Sushil, Joshi, Manish, Bashyal, Aakash, Timilsina, Arun, and Subedi, Sushant

Abstract

The increase in usage of Online Learning systems has provided a challenge to deliver e-contents based on user needs. This study uses learning style data to determine the learning profile and provide the content based on the user's needs, whereas gamified elements are used to increase user engagement. The combination of these two approaches would eventually increase the overall user motivation and interest in the platform. The model developed is used to predict the Learning Style (LS) preference by analyzing the activity data obtained from the student interaction in the course. Further, clustering is done to determine the LS preference of the user in the system. Content is designed based on user's learning styles and preferences and uploaded to the platform. Data were collected through surveys after the end of the course to measure students' perception of the three variables: "motivation, learning satisfaction," and "learning outcomes." The findings from the study suggest that the students showed high motivation, positive learning outcomes, and satisfaction with the developed contents.

Published
2023
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304. Ethnomedicine in Question: The Case of Tharu Healers and Healing Practices

Author

Subedi, Bamdev, Reddy, Sunita, Series Editor, Acharya, Sanghmitra S., Series Editor, Patel, Tulsi, Editorial Board Member, Narain Roy, Ash, Editorial Board Member, Gaur, Ramesh C., Editorial Board Member, Tian, Robert, Editorial Board Member, Najafizada, Maisam, Editorial Board Member, Mehta, Shalina, Editorial Board Member, Mishra, K.K., Editorial Board Member, Kahn, Alison L, Editorial Board Member, Guite, Nemthianngai, editor, and Subedi, Bamdev, editor

Published
2023
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305. Indigenous Healing Practices in the Himalayas: Use of Medicinal Plants and Health Development in Nepal

Author

Subedi, Madhusudan, Reddy, Sunita, Series Editor, Acharya, Sanghmitra S., Series Editor, Patel, Tulsi, Editorial Board Member, Narain Roy, Ash, Editorial Board Member, Gaur, Ramesh C., Editorial Board Member, Tian, Robert, Editorial Board Member, Najafizada, Maisam, Editorial Board Member, Mehta, Shalina, Editorial Board Member, Mishra, K.K., Editorial Board Member, Kahn, Alison L, Editorial Board Member, Guite, Nemthianngai, editor, and Subedi, Bamdev, editor

Published
2023
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306. Introduction: Ethnomedicine and Tribal Healing Practices in India: Challenges and Possibilities of Recognition and Integration

Author

Reddy, Sunita, Subedi, Bamdev, Guite, Nemthianngai, Reddy, Sunita, Series Editor, Acharya, Sanghmitra S., Series Editor, Patel, Tulsi, Editorial Board Member, Narain Roy, Ash, Editorial Board Member, Gaur, Ramesh C., Editorial Board Member, Tian, Robert, Editorial Board Member, Najafizada, Maisam, Editorial Board Member, Mehta, Shalina, Editorial Board Member, Mishra, K.K., Editorial Board Member, Kahn, Alison L, Editorial Board Member, Guite, Nemthianngai, editor, and Subedi, Bamdev, editor

Published
2023
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307. Light-control of materials via nonlinear phononics

Author

Subedi, Alaska

Subjects
Condensed Matter - Materials Science
Abstract

Nonlinear phononics is the phenomenon in which a coherent dynamics in a material along a set of phonons is launched after its infrared-active phonons are selectively excited using external light pulses. The microscopic mechanism underlying this phenomenon is the nonlinear coupling of the pumped infrared-active mode to other phonon modes present in a material. Nonlinear phonon couplings can cause finite time-averaged atomic displacements with or without broken crystal symmetries depending on the order, magnitude and sign of the nonlinearities. Such coherent lattice displacements along phonon coordinates can be used to control the physical properties of materials and even induce transient phases with lower symmetries. Light-control of materials via nonlinear phononics has become a practical reality due to the availability of intense mid-infrared lasers that can drive large-amplitude oscillations of the infrared-active phonons of materials. Mid-infrared pump induced insulator-metal transitions and spin and orbital order melting have been observed in pump-probe experiments. First principles based microscopic theory of nonlinear phononics has been developed, and it has been used to better understand how the lattice evolves after a mid-infrared pump excitation of infrared-active phonons. This theory has been used to predict light-induced switching of ferroelectric polarization as well as ferroelectricity in paraelectrics and ferromagnetism in antiferromagnets, which have been partially confirmed in recent experiments. This review summarizes the experimental and theoretical developments within this emerging field.

Published
2021
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308. The $^{3}$He BF$_{3}$ Giant Barrel (HeBGB) Neutron Detector

Author

Brandenburg, K., Hamad, G., Meisel, Z., Brune, C. R., Carter, D. E., Danley, T., Derkin, J., Jones-Alberty, Y., Kenady, B., Massey, T. N., Paneru, S., Saxena, M., Soltesz, D., Subedi, S. K., and Warren, J.

Subjects
Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract

$(\alpha,n)$ reactions play an important role in nuclear astrophysics and applications and are an important background source in neutrino and dark matter detectors. Measurements of total $(\alpha,n)$ cross sections employing direct neutron detection often have a considerable systematic uncertainty associated with the energy-dependent neutron detection efficiency and the unknown initial neutron energy distribution. The $^{3}{\rm He}\,{\rm BF}_{3}$ Giant Barrel (HeBGB) neutron detector was built at the Edwards Accelerator Laboratory at Ohio University to overcome this challenge. HeBGB offers a near-constant neutron detection efficiency of ($7.5\pm 1.2$) \% over the neutron energy range 0.01 MeV -- 9.00 MeV, removing a significant source of systematic uncertainty present in earlier $(\alpha,n)$ cross section measurements.

Published
2021
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309. Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups

Author

Wainakh, Aidmar, Zimmer, Ephraim, Subedi, Sandeep, Keim, Jens, Grube, Tim, Karuppayah, Shankar, Guinea, Alejandro Sanchez, and Mühlhäuser, Max

Subjects
Computer Science - Cryptography and Security
Abstract

Federated learning (FL) enables a set of entities to collaboratively train a machine learning model without sharing their sensitive data, thus, mitigating some privacy concerns. However, an increasing number of works in the literature propose attacks that can manipulate the model and disclose information about the training data in FL. As a result, there has been a growing belief in the research community that FL is highly vulnerable to a variety of severe attacks. Although these attacks do indeed highlight security and privacy risks in FL, some of them may not be as effective in production deployment because they are feasible only under special -- sometimes impractical -- assumptions. Furthermore, some attacks are evaluated under limited setups that may not match real-world scenarios. In this paper, we investigate this issue by conducting a systematic mapping study of attacks against FL, covering 48 relevant papers from 2016 to the third quarter of 2021. On the basis of this study, we provide a quantitative analysis of the proposed attacks and their evaluation settings. This analysis reveals several research gaps with regard to the type of target ML models and their architectures. Additionally, we highlight unrealistic assumptions in the problem settings of some attacks, related to the hyper-parameters of the ML model and data distribution among clients. Furthermore, we identify and discuss several fallacies in the evaluation of attacks, which open up questions on the generalizability of the conclusions. As a remedy, we propose a set of recommendations to avoid these fallacies and to promote adequate evaluations., Comment: In Section 5.2, incomplete information are mentioned on reference [9] ("How To Backdoor Federated Learning"). This part of text will be revised and enriched

Published
2021

310. Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges

Author

Nouri, Azita, Davis, Philip E., Subedi, Pradeep, and Parashar, Manish

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In this survey, we discuss the challenges of executing scientific workflows as well as existing Machine Learning (ML) techniques to alleviate those challenges. We provide the context and motivation for applying ML to each step of the execution of these workflows. Furthermore, we provide recommendations on how to extend ML techniques to unresolved challenges in the execution of scientific workflows. Moreover, we discuss the possibility of using ML techniques for in-situ operations. We explore the challenges of in-situ workflows and provide suggestions for improving the performance of their execution using ML techniques.

Published
2021

311. Scalable Graph Embedding LearningOn A Single GPU

Author

Nouri, Azita, Davis, Philip E., Subedi, Pradeep, and Parashar, Manish

Subjects
Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Graph embedding techniques have attracted growing interest since they convert the graph data into continuous and low-dimensional space. Effective graph analytic provides users a deeper understanding of what is behind the data and thus can benefit a variety of machine learning tasks. With the current scale of real-world applications, most graph analytic methods suffer high computation and space costs. These methods and systems can process a network with thousands to a few million nodes. However, scaling to large-scale networks remains a challenge. The complexity of training graph embedding system requires the use of existing accelerators such as GPU. In this paper, we introduce a hybrid CPU-GPU framework that addresses the challenges of learning embedding of large-scale graphs. The performance of our method is compared qualitatively and quantitatively with the existing embedding systems on common benchmarks. We also show that our system can scale training to datasets with an order of magnitude greater than a single machine's total memory capacity. The effectiveness of the learned embedding is evaluated within multiple downstream applications. The experimental results indicate the effectiveness of the learned embedding in terms of performance and accuracy., Comment: Co-authors whose names were not included have asked for withdrawal

Published
2021

312. Deeply virtual Compton scattering off the neutron

Author

Benali, M., Desnault, C., Mazouz, M., Ahmed, Z., Albataineh, H., Allada, K., Aniol, K. A., Bellini, V., Boeglin, W., Bertin, P., Brossard, M., Camsonne, A., Canan, M., Chandavar, S., Chen, C., Chen, J. -P., Defurne, M., de Jager, C. W., de Leo, R., Deur, A., Fassi, L. El, Ent, R., Flay, D., Friend, M., Fuchey, E., Frullani, S., Garibaldi, F., Gaskell, D., Giusa, A., Glamazdin, O., Golge, S., Gomez, J., Hansen, O., Higinbotham, D., Holmstrom, T., Horn, T., Huang, J., Huang, M., Huber, G. M., Hyde, C. E., Iqbal, S., Itard, F., Kang, Ho., Kang, Hy., Kelleher, A., Keppel, C., Koirala, S., Korover, I., LeRose, J. J., Lindgren, R., Long, E., Magne, M., Mammei, J., Margaziotis, D. J., Markowitz, P., Jimenez-Arguello, A. Marti, Meddi, F., Meekins, D., Michaels, R., Mihovilovic, M., Muangma, N., Camacho, C. Munoz, Nadel-Turonski, P., Nuruzzaman, N., Paremuzyan, R., Pomatsalyuk, R., Puckett, A., Punjabi, V., Qiang, Y., Rakhman, A., Rashad, M. N. H., Riordan, S., Roche, J., Russo, G., Sabatie, F., Saenboonruang, K., Saha, A., Sawatzky, B., Selvy, L., Shahinyan, A., Sirca, S., Solvignon, P., Sperduto, M. L., Subedi, R., Sulkosky, V., Sutera, C., Tobias, W. A., Urciuoli, G. M., Wang, D., Wojtsekhowski, B., Yao, H., Ye, Z., Zana, L., Zhan, X., Zhang, J., Zhao, B., Zhao, Z., Zheng, X., and Zhu, P.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Nuclear Experiment
Abstract

The three-dimensional structure of nucleons (protons and neutrons) is embedded in so-called generalized parton distributions, which are accessible from deeply virtual Compton scattering. In this process, a high energy electron is scattered off a nucleon by exchanging a virtual photon. Then, a highly-energetic real photon is emitted from one of the quarks inside the nucleon, which carries information on the quark's transverse position and longitudinal momentum. By measuring the cross-section of deeply virtual Compton scattering, Compton form factors related to the generalized parton distributions can be extracted. Here, we report the observation of unpolarized deeply virtual Compton scattering off a deuterium target. From the measured photon-electroproduction cross-sections, we have extracted the cross-section of a quasi-free neutron and a coherent deuteron. Due to the approximate isospin symmetry of quantum chromodynamics, we can determine the contributions from the different quark flavours to the helicity-conserved Compton form factors by combining our measurements with previous ones probing the proton's internal structure. These results advance our understanding of the description of the nucleon structure, which is important to solve the proton spin puzzle.

Published
2021
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324. Pre-COVID life expectancy, mortality, and burden of diseases for adults 70 years and older in Australia: a systematic analysis for the Global Burden of Disease 2019 Study

Author

Ciobanu, Liliana G., Baryshnikova, Nadezhda V., Jawahar, Magdalene Catharine, Toben, Catherine G., Sokolenko, Elysia, Arnet, Victoria Kiriaki, Addo, Isaac Yeboah, Adegboye, Oyelola A., Ahinkorah, Bright Opoku, Alam, Khurshid, Alif, Sheikh Mohammad, Ameyaw, Edward Kwabena, Anderlini, Deanna, Angell, Blake, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Astell-Burt, Thomas, Atorkey, Prince, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Babu, Abraham Samuel, Bagheri, Nasser, Baune, Bernhard T., Bhandari, Dinesh, Bhaskar, Sonu, Boufous, Soufiane, Briggs, Andrew M., Bulamu, Norma B., Burns, Richard A., Carvalho, Andre F., Cerin, Ester, Cherbuin, Nicolas, Chowdhury, Enayet Karim, Cross, Marita, De Leo, Diego, Driscoll, Tim Robert, Du, Mi, Edvardsson, David, Edvardsson, Kristina, Efendi, Ferry, Endalamaw, Aklilu, Fauk, Nelsensius Klau, Flavel, Joanne, Franklin, Richard Charles, Gill, Tiffany K., Gupta, Bhawna, Gupta, Vivek Kumar, Hamiduzzaman, Mohammad, Hankey, Graeme J., Hay, Simon I., Hebert, Jeffrey J., Hendrie, Delia, Hill, Catherine L., Huda, M. Mamun, Shariful Islam, Sheikh Mohammed, Kaambwa, Billingsley, Kandel, Himal, Kassie, Gizat M., Kerr, Jessica A., Khan, Asaduzzaman, Khan, M. Nuruzzaman, Kulkarni, Vishnutheertha, Lalloo, Ratilal, Dao Le, Long Khanh, Leigh, James, Liu, Gang, Mahumud, Rashidul Alam, Mamun, Abdullah A., McGrath, John J., Meretoja, Atte, Miller, Ted R., Mitchell, Philip B., Mokdad, Ali H., Morawska, Lidia, Obamiro, Kehinde O., Peden, Amy E., Pesudovs, Konrad, Rahman, Azizur, Rahman, Md Mijanur, Rahman, Muhammad Aziz, Ratan, Zubair Ahmed, Rawal, Lal, Rumisha, Susan Fred, Sachdev, Perminder S., Seidu, Abdul-Aziz, Sharma, Saurab, Shorofi, Seyed Afshin, Siabani, Soraya, Singh, Ambrish, Singh, Balbir Bagicha, Slater, Helen, Stokes, Mark A., Subedi, Narayan, Tadakamadla, Santosh Kumar, Thrift, Amanda G., Ngoc Tran, Mai Thi, Vandelanotte, Corneel, Wang, Ning, Ward, Paul, Woodward, Mark, Xu, Xiaoyue, Yadav, Lalit, Zaman, Sojib Bin, Zhang, Jianrong, and Clark, Scott Richard

Published
2024
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336. Assessment of Community Knowledge and Practices towards Rabies Prevention: A Cross-Sectional Survey in Bharatpur, Chitwan, Nepal

Author

Sanju Subedi, Kishor Adhikari, Devraj Regmi, Hari Krishna Sharma, Nishakiran Bolakhe, Milan Kandel, and Deepak Subedi

Subjects
Bharatpur, community, rabies, knowledge, practice, prevention, Animal biochemistry, QP501-801, Veterinary medicine, SF600-1100, Zoology, QL1-991
Abstract

In many developing countries, where rabies is prevalent among dog populations, humans are at risk of contracting the disease. Recent reports from Nepal suggest that around 30,000 cases of pet and more than 100 human rabies cases occur each year, with the highest risk being in the Terai, although these numbers may be underestimated. Knowledge and practices related to rabies prevention are crucial in combating the disease. However, there is not enough data on the understanding and preventive measures of rabies among the local population in Nepal. Therefore, this study aimed to evaluate the knowledge and practices regarding rabies prevention among the people of Bharatpur-12, Chitwan, Nepal. The study, conducted in February 2022, involved a cross-sectional survey of 271 respondents selected through systematic random sampling. A semi-structured questionnaire was used for one-on-one interviews. Among the surveyed respondents, a significant proportion (81.50%; n = 221/271) correctly understood rabies is zoonotic disease. Furthermore, 73.10% (n = 198/271) could correctly identify the animals susceptible to rabies, while 39.9% (n = 108/271) knew the causative agent. Additionally, 46.5% accurately listed the modes of transmission, and a majority (86.70%; n = 235/271) recognized the signs and symptoms of rabies in animals and humans. Overall, 42.06% (n = 114/271) of the respondents demonstrated satisfactory knowledge. Out of the 271 respondents, 22.9% (n = 62) owned pets, and 39.11% (n = 106) reported incidents of animal bites within their families, with dog bites being the most commonly mentioned (92.46%; n = 98/106). The majority (81.14%; n = 86/106) sought treatment on the same day as the incident occurred. About half of them (50%; n = 53/106) cleaned the wound with soap and water, while a small percentage (5.66%; n = 6/106) relied on traditional medicine as immediate first aid after an animal bite. The level of knowledge was found to be associated with gender (p = 0.04), educational status (p = 0.05), and family monthly income (p = 0.007). These findings highlight the importance of educating the community in Nepal about rabies control and prevention measures and underscore the need for targeted educational interventions to improve rabies awareness and the potential of effective awareness campaigns to save lives. Raising awareness about health-seeking behavior and community members’ role in controlling, preventing, and eliminating rabies is crucial.

Published
2023
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338. Precision Measurement of the Beam-Normal Single-Spin Asymmetry in Forward-Angle Elastic Electron-Proton Scattering

Author

QWeak collaboration, Androic, D., Armstrong, D. S., Asaturyan, A., Bartlett, K., Beaufait, J., Beminiwattha, R. S., Benesch, J., Benmokhtar, F., Birchall, J., Carlini, R. D., Cornejo, J. C., Dusa, S. Covrig, Dalton, M. M., Davis, C. A., Deconinck, W., Dowd, J. F., Dunne, J. A., Dutta, D., Duvall, W. S., Elaasar, M., Falk, W. R., Finn, J. M., Forest, T., Gal, C., Gaskell, D., Gericke, M. T. W., Grames, J., Gray, V. M., Grimm, K., Guo, F., Hoskins, J. R., Jones, D., Jones, M. K., Jones, R. T., Kargiantoulakis, M., King, P. M., Korkmaz, E., Kowalski, S., Leacock, J., Leckey, J. P., Lee, A. R., Lee, J. H., Lee, L., MacEwan, S., Mack, D., Magee, J. A., Mahurin, R., Mammei, J., Martin, J. W., McHugh, M. J., Meekins, D., Mei, J., Mesick, K. E., Michaels, R., Micherdzinska, A., Mkrtchyan, A., Mkrtchyan, H., Morgan, N., Narayan, A., Ndukum, L. Z., Nelyubin, V., Nuruzzaman, van Oers, W. T. H, Owen, V. F., Page, S. A., Pan, J., Paschke, K. D., Phillips, S. K., Pitt, M. L., Radloff, R. W., Rajotte, J. F., Ramsay, W. D., Roche, J., Sawatzky, B., Seva, T., Shabestari, M. H., Silwal, R., Simicevic, N., Smith, G. R., Solvignon, P., Spayde, D. T., Subedi, A., Subedi, R., Suleiman, R., Tadevosyan, V., Tobias, W. A., Tvaskis, V., Waidyawansa, B., Wang, P., Wells, S. P., Wood, S. A., Yang, S., Zang, P., and Zhamkochyan, S.

Subjects
Nuclear Experiment
Abstract

A beam-normal single-spin asymmetry generated in the scattering of transversely polarized electrons from unpolarized nucleons is an observable related to the imaginary part of the two-photon exchange process. We report a 2% precision measurement of the beam-normal single-spin asymmetry in elastic electron-proton scattering with a mean scattering angle of theta_lab = 7.9 degrees and a mean energy of 1.149 GeV. The asymmetry result is B_n = -5.194 +- 0.067 (stat) +- 0.082 (syst) ppm. This is the most precise measurement of this quantity available to date and therefore provides a stringent test of two-photon exchange models at far-forward scattering angles (theta_lab -> 0) where they should be most reliable., Comment: 6 pages, 3 figures; Slightly revised version, after referee's comments; accepted in PRL

Published
2020
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346. Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America

Author

Erchick, Daniel J., Subedi, Seema, Verhulst, Andrea, Guillot, Michel, Adair, Linda S., Barros, Aluísio J. D., Chasekwa, Bernard, Christian, Parul, da Silva, Bruna Gonçalves C., Silveira, Mariângela F., Hallal, Pedro C., Humphrey, Jean H., Huybregts, Lieven, Kariuki, Simon, Khatry, Subarna K., Lachat, Carl, Matijasevich, Alicia, McElroy, Peter D., Menezes, Ana Maria B., Mullany, Luke C., Perez, Tita Lorna L., Phillips-Howard, Penelope A., Roberfroid, Dominique, Santos, Iná S., ter Kuile, Feiko O., Ravilla, Thulasiraj D., Tielsch, James M., Wu, Lee S. F., and Katz, Joanne

Published
2023
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