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1,781 results on '"Verma"'

19. CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank

Author

Vu, Phuong T., Chahine, Chantal, Chatterjee, Neil, MacLean, Matthew T., Swago, Sophia, Bhattaru, Abhi, Thompson, Elizabeth W., Ikhlas, Anooshey, Oteng, Edith, Davidson, Lauren, Tran, Richard, Hazim, Mohamad, Raghupathy, Pavan, Verma, Anurag, Duda, Jeffrey, Gee, James, Luks, Valerie, Gershuni, Victoria, Wu, Gary, Rader, Daniel, Sagreiya, Hersh, and Witschey, Walter R.

Published
2024
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30. Ammonia is associated with liver-related complications and predicts mortality in acute-on-chronic liver failure patients

Author

Thanapirom, Kessarin, Treeprasertsuk, Sombat, Choudhury, Ashok, Verma, Nipun, Dhiman, Radha Krishan, Al Mahtab, Mamun, Devarbhavi, Harshad, Shukla, Akash, Hamid, Saeed Sadiq, Jafri, Wasim, Tan, Soek Siam, Lee, Guan H., Ghazinyan, Hasmik, Sood, Ajit, Kim, Dong Joon, Eapen, C. E., Tao, Han, Yuemin, Nan, Dokmeci, A. Kadir, Sahu, Manoj, Arora, Anil, Kumar, Ashish, Kumar, Ramesh, Prasad, V. G. Mohan, Shresta, Ananta, Sollano, Jose, Payawal, Diana Alcantara, Lau, George, and Sarin, Shiv Kumar

Published
2024
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42. Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis

Author

Song, Isabel, Thompson, Elizabeth W., Verma, Anurag, MacLean, Matthew T., Duda, Jeffrey, Elahi, Ameena, Tran, Richard, Raghupathy, Pavan, Swago, Sophia, Hazim, Mohamad, Bhattaru, Abhijit, Schneider, Carolin, Vujkovic, Marijana, Torigian, Drew A., Kahn, Charles E., Gee, James C., Borthakur, Arijitt, Kripke, Colleen M., Carson, Christopher C., Carr, Rotonya, Jehangir, Qasim, Ko, Yi-An, Litt, Harold, Rosen, Mark, Mankoff, David A., Schnall, Mitchell D., Shou, Haochang, Chirinos, Julio, Damrauer, Scott M., Serper, Marina, Chen, Jinbo, Rader, Daniel J., Witschey, Walter R. T., and Sagreiya, Hersh

Published
2024
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43. Thrust enhancement and degradation mechanisms due to self-induced vibrations in bio-inspired flying robots

Author

Deb, Dipan, Huang, Kevin, Verma, Aakash, Fouda, Moatasem, and Taha, Haithem E

Subjects
Engineering, Aerospace Engineering
Abstract

Bio-inspired flying robots (BIFRs) which fly by flapping their wings experience continuously oscillating aerodynamic forces. These oscillations in the driving force cause vibrations in the motion of the body around the mean trajectory. In other words, a hovering BIFR does not remain fixed in space; instead, it undergoes oscillatory motion in almost all directions around the stationary point. These oscillations affect the aerodynamic performance of the flier. Assessing the effect of these oscillations, particularly on thrust generation in two-winged and four-winged BIFRs, is the main objective of this work. To achieve such a goal, two experimental setups were considered to measure the average thrust for the two BIFRs. The average thrust is measured over the flapping cycle of the BIFRs. In the first experimental setup, the BIFR is installed at the end of a pendulum rod, in place of the pendulum mass. While flapping, the model creates a thrust force that raises the model along the circular trajectory of the pendulum mass to a certain angular position, which is an equilibrium point and is also stable. Measuring the weight of the BIFR and the equilibrium angle it obtains, it is straightforward to estimate the average thrust, by moment balance about the pendulum hinge. This pendulum setup allows the BIFR model to freely oscillate back and forth along the circular trajectory about the equilibrium position. As such, the estimated average thrust includes the effects of these self-induced vibrations. In contrast, we use another setup with a load cell to measure thrust where the model is completely fixed. The thrust measurement revealed that the load cell or the fixed test leads to a higher thrust than the pendulum or the oscillatory test for the two-winged model, showing the opposite behavior for the four-winged model. That is, self-induced vibrations have different effects on the two BIFR models. We felt that this observation is worth further investigation. It is important to mention that aerodynamic mechanisms for thrust generation in the two and four-winged models are different. A two-winged BIFR generates thrust through traditional flapping mechanisms whereas a four-winged model enjoys a clapping effect, which results from wing-wing interaction. In the present work, we use a motion capture system, aerodynamic modeling, and flow visualization to study the underlying physics of the observed different behaviors of the two flapping models. The study revealed that the interaction of the vortices with the flapping wing robots may play a role in the observed aerodynamic behavior of the two BIFRs.

Published
2023

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