Zobrazeno 1 - 10
of 6 367
pro vyhledávání: '"Vijay S. Are"'
Autor:
Natalie Wilson, MD, Vijay S. Are, MD, Roberto Osorio Cintron, RN, Nabeel Azeem, MD, Mohammad Bilal, MD
Publikováno v:
VideoGIE, Vol 8, Iss 5, Pp 211-216 (2023)
Background and Aims: The endoscopic powered resection (EPR) device (EndoRotor, Interscope Inc, Northbridge, Mass, USA) is a novel nonthermal device that can be used for polyp and tissue removal in the GI tract. Here, we review the EPR device and illu
Externí odkaz:
https://doaj.org/article/7ab81d8ed0ca412b886358091a19aebf
Device-Independent Quantum Secure Direct Communication (DI-QSDC) enhances quantum cryptography by enabling secure message transmission without relying on the trustworthiness of the devices involved. This approach mitigates risks associated with compr
Externí odkaz:
http://arxiv.org/abs/2409.10427
Autor:
Yadav, Vipin K., Vijaya, Y., Srikar, P. T., Prasad, B. Krishnam, Mahajan, Monika, Mallikarjun, K. V. L. N., Narendra, S., Adoni, Abhijit A., Rai, Vijay S., Veeresha, D. R., Zamani, Syeeda N.
Aditya-L1 is the first Indian solar mission placed at the first Lagrangian (L1) point to study the Sun. A fluxgate magnetometer (MAG) is one of the seven payloads and one of the three in-situ payloads onboard to measure the interplanetary magnetic fi
Externí odkaz:
http://arxiv.org/abs/2406.19757
Autor:
Craft, Clayton L., Barton, Nicholas J., Klug, Andrew C., Scalzi, Kenneth, Wildemann, Ian, Asagodu, Pramod, Broz, Joseph D., Porto, Nikola L., Macalik, Michael, Rizzo, Anthony, Percevault, Garrett, Tison, Christopher C., Smith, A. Matthew, Fanto, Michael L., Schneeloch, James, Sheridan, Erin, Heberle, Dylan, Brownell, Andrew, Sundaram, Vijay S. S., Deenadayalan, Venkatesh, van Niekerk, Matthew, Manfreda-Schulz, Evan, Howland, Gregory A., Preble, Stefan F., Coleman, Daniel, Leake, Gerald, Antohe, Alin, Vo, Tuan, Fahrenkopf, Nicholas M., Stievater, Todd H., Brickman-Soderberg, Kathy-Anne, Smith, Zachary S., Hucul, David
Reliable control of quantum information in matter-based qubits requires precisely applied external fields, and unaccounted for spatial cross-talk of these fields between adjacent qubits leads to loss of fidelity. We report a CMOS foundry-produced, mi
Externí odkaz:
http://arxiv.org/abs/2406.17607
Hepatocellular carcinoma is leading in cancer-related disease burden among hospitalized baby boomers
Autor:
Chiranjeevi Gadiparthi, Eric R. Yoo, Vijay S. Are, Paris Charilaou, Donghee Kim, George Cholankeril, Capecomorin Pitchumoni, Aijaz Ahmed
Publikováno v:
Annals of Hepatology, Vol 18, Iss 5, Pp 679-684 (2019)
Introduction and Objectives: Three fourths of chronic hepatitis C virus (HCV) infected adult patients in the United States (US) are born between 1945 and 1965, also known as baby boomers (BB). Prevalence of hepatocellular carcinoma (HCC) is raising i
Externí odkaz:
https://doaj.org/article/0382ff5aaedd4d89821925fafb7b48f3
Transformers have revolutionized image modeling tasks with adaptations like DeIT, Swin, SVT, Biformer, STVit, and FDVIT. However, these models often face challenges with inductive bias and high quadratic complexity, making them less efficient for hig
Externí odkaz:
http://arxiv.org/abs/2403.18063
Autor:
Patro, Badri N., Agneeswaran, Vijay S.
Transformers have widely adopted attention networks for sequence mixing and MLPs for channel mixing, playing a pivotal role in achieving breakthroughs across domains. However, recent literature highlights issues with attention networks, including low
Externí odkaz:
http://arxiv.org/abs/2403.15360
Autor:
Eastman, Peter, Galvelis, Raimondas, Peláez, Raúl P., Abreu, Charlles R. A., Farr, Stephen E., Gallicchio, Emilio, Gorenko, Anton, Henry, Michael M., Hu, Frank, Huang, Jing, Krämer, Andreas, Michel, Julien, Mitchell, Joshua A., Pande, Vijay S., Rodrigues, João PGLM, Rodriguez-Guerra, Jaime, Simmonett, Andrew C., Swails, Jason, Zhang, Ivy, Chodera, John D., De Fabritiis, Gianni, Markland, Thomas E.
Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added
Externí odkaz:
http://arxiv.org/abs/2310.03121
Autor:
Mulwad, Varish, Finin, Tim, Kumar, Vijay S., Williams, Jenny Weisenberg, Dixit, Sharad, Joshi, Anupam
Publikováno v:
3rd Workshop on Scientific Document Understanding at AAAI-2023
Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents, including the retrieval of relevant information included in tables within these documents. This paper int
Externí odkaz:
http://arxiv.org/abs/2306.10044
Simulations of biomolecules have enormous potential to inform our understanding of biology but require extremely demanding calculations. For over twenty years, the Folding@home distributed computing project has pioneered a massively parallel approach
Externí odkaz:
http://arxiv.org/abs/2303.08993