Zobrazeno 1 - 10
of 1 255
pro vyhledávání: '"GONG Qian"'
Publikováno v:
Círculo de Lingüística Aplicada a la Comunicación, Vol 97 (2024)
Estudios previos han demostrado que el procesamiento visual favorece el desarrollo de L2 en general. En vista de que la competencia de L2 implica tanto la competencia lingüística como la intercultural, este estudio se pone foco en investigar si las
Externí odkaz:
https://doaj.org/article/081d31434a264aad924c8dd7e7bc4cbf
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 43, Iss 4, Pp 381-397 (2023)
Pulmonary arterial hypertension is a clinical syndrome characterized by pulmonary vascular remodeling causing increased vascular resistance, which will lead to right heart failure and even death if left untreated. The pathogenesis of pulmonary arteri
Externí odkaz:
https://doaj.org/article/319aefe430894d0ea1476733639b7bc0
MGARD (MultiGrid Adaptive Reduction of Data) is an algorithm for compressing and refactoring scientific data, based on the theory of multigrid methods. The core algorithm is built around stable multilevel decompositions of conforming piecewise linear
Externí odkaz:
http://arxiv.org/abs/2408.07212
Autor:
Beard, Corey, Robertson, Paul, Giovinazzi, Mark R., Murphy, Joseph M. Akana, Ford, Eric B., Halverson, Samuel, Han, Te, Holcomb, Rae, Lubin, Jack, Luque, Rafael, Premnath, Pranav, Bender, Chad F., Blake, Cullen H., Gong, Qian, Isaacson, Howard, Kanodia, Shubham, Li, Dan, Lin, Andrea S. J., Logsdon, 5 Sarah E., Lubar, Emily, McElwain, Michael W., Monson, Andrew, Ninan, Joe P., Rajagopal, Jayadev, Roy, Arpita, Schwab, Christian, Stefansson, Gudmundur, Terrien, Ryan C., Wright, Jason T.
We present a new analysis of Kepler-21, the brightest (V = 8.5) Kepler system with a known transiting exoplanet, Kepler-21 b. Kepler-21 b is a radius valley planet ($R = 1.6\pm 0.2 R_{\oplus}$) with an Earth-like composition (8.38$\pm$1.62 g/cc), tho
Externí odkaz:
http://arxiv.org/abs/2408.02873
Autor:
Athawale, Tushar M., Wang, Zhe, Pugmire, David, Moreland, Kenneth, Gong, Qian, Klasky, Scott, Johnson, Chris R., Rosen, Paul
This paper presents a novel end-to-end framework for closed-form computation and visualization of critical point uncertainty in 2D uncertain scalar fields. Critical points are fundamental topological descriptors used in the visualization and analysis
Externí odkaz:
http://arxiv.org/abs/2407.18015
Autor:
Herde, Vicki L., Chamberlin, Phillip C., Schmit, Don, Daw, Adrian, Milligan, Ryan O., Polito, Vanessa, Bose, Souvik, Boyajian, Spencer, Buedel, Paris, Edgar, Will, Gebben, Alex, Gong, Qian, Jacobsen, Ross, Nell, Nicholas, Schwab, Bennet, Sims, Alan, Summers, David, Turner, Zachary, Valade, Trace, Wallace, Joseph
The Solar eruptioN Integral Field Spectrograph (SNIFS) is a solar-gazing spectrograph scheduled to fly in the summer of 2025 on a NASA sounding rocket. Its goal is to view the solar chromosphere and transition region at a high cadence (1s) both spati
Externí odkaz:
http://arxiv.org/abs/2407.08834
Publikováno v:
Advances in Materials Science and Engineering, Vol 2022 (2022)
Microstructural evolution and mechanical property degradation of the newly developed G115 steel during thermal exposure are highly important for the safe power plant operation. In this paper, the microstructural stability and strength as well as impa
Externí odkaz:
https://doaj.org/article/c95316b54c36438db75f266815c00cec
Scientists conduct large-scale simulations to compute derived quantities-of-interest (QoI) from primary data. Often, QoI are linked to specific features, regions, or time intervals, such that data can be adaptively reduced without compromising the in
Externí odkaz:
http://arxiv.org/abs/2405.00879
Autor:
Lee, Jaemoon, Jung, Ki Sung, Gong, Qian, Li, Xiao, Klasky, Scott, Chen, Jacqueline, Rangarajan, Anand, Ranka, Sanjay
We present an approach called guaranteed block autoencoder that leverages Tensor Correlations (GBATC) for reducing the spatiotemporal data generated by computational fluid dynamics (CFD) and other scientific applications. It uses a multidimensional b
Externí odkaz:
http://arxiv.org/abs/2404.18063
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Autor:
Gong, Qian, Chen, Jieyang, Whitney, Ben, Liang, Xin, Reshniak, Viktor, Banerjee, Tania, Lee, Jaemoon, Rangarajan, Anand, Wan, Lipeng, Vidal, Nicolas, Liu, Qing, Gainaru, Ana, Podhorszki, Norbert, Archibald, Richard, Ranka, Sanjay, Klasky, Scott
Publikováno v:
SoftwareX, 24(2023), 101590
We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point scientific data on structured and unstructured grids. With exceptional data compression capability and precise error control, MGARD addresses a wide range of requ
Externí odkaz:
http://arxiv.org/abs/2401.05994