Zobrazeno 1 - 10
of 925
pro vyhledávání: '"Cárdenas, Carlos"'
Autor:
Pinilla, Fernanda, Muriel, Wilver A., Cabezas-Escares, Javiera, Chacon, Ignacio, Cardenas, Carlos, Munoz, Francisco
Van der Waals heterostructures are promising for adding new functionalities to two-dimensional materials. In this study, we focus on single photon emitters hosted in one layer and adjacent to other insulating two-dimensional material. Specifically, w
Externí odkaz:
http://arxiv.org/abs/2311.16299
Publikováno v:
J. Chem. Theory Comput. 20, 2559 (2024)
We report on a theoretical study of a Cs$_2$ molecule illuminated by two lasers and show how it can result in novel quantum dynamics. We reveal that these interactions facilitate the bypass of the non-crossing rule, forming Light-Induced Conical Inte
Externí odkaz:
http://arxiv.org/abs/2311.13697
Autor:
Wahid, Kareem A., Cardenas, Carlos E., Marquez, Barbara, Netherton, Tucker J., Kann, Benjamin H., Court, Laurence E., He, Renjie, Naser, Mohamed A., Moreno, Amy C., Fuller, Clifton D., Fuentes, David
Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three key insights: (1) High-quality training data is essential for auto-co
Externí odkaz:
http://arxiv.org/abs/2310.10867
Autor:
Barrera, Nicolás F., Fuentealba, Patricio, Muñoz, Francisco, Gómez, Tatiana, Cárdenas, Carlos
Understanding how the $\mathrm{H}_2$ molecule is formed under the chemical conditions of the interstellar media (ISM) is critical to the whole chemistry of it. Formation of $\mathrm{H}_2$ in the ISM requires a third body acting as a reservoir of ener
Externí odkaz:
http://arxiv.org/abs/2305.14206
Autor:
Moran, Kevin, Yachnes, Ali, Purnell, George, Mahmud, Junayed, Tufano, Michele, Bernal-Cárdenas, Carlos, Poshyvanyk, Denys, H'Doubler, Zach
Existing automated techniques for software documentation typically attempt to reason between two main sources of information: code and natural language. However, this reasoning process is often complicated by the lexical gap between more abstract nat
Externí odkaz:
http://arxiv.org/abs/2301.01224
Autor:
Bernal-Cárdenas, Carlos, Cooper, Nathan, Havranek, Madeleine, Moran, Kevin, Chaparro, Oscar, Poshyvanyk, Denys, Marcus, Andrian
Screen recordings of mobile applications are easy to obtain and capture a wealth of information pertinent to software developers (e.g., bugs or feature requests), making them a popular mechanism for crowdsourced app feedback. Thus, these videos are b
Externí odkaz:
http://arxiv.org/abs/2301.01191
Autor:
Hernandez, Soleil, Nguyen, Callistus, Gay, Skylar, Duryea, Jack, Howell, Rebecca, Fuentes, David, Parkes, Jeannette, Burger, Hester, Cardenas, Carlos, Paulino, Arnold C., Pollard-Larkin, Julianne, Court, Laurence
Publikováno v:
Journal of Applied Clinical Medical Physics 2022
Purpose: Target delineation for radiation therapy is a time-consuming and complex task. Autocontouring gross tumor volumes (GTVs) has been shown to increase efficiency. However, there is limited literature on post-operative target delineation, partic
Externí odkaz:
http://arxiv.org/abs/2212.09564
Autor:
Aragón-Magadán Marco Aurelio, Cruz-Cárdenas Carlos Iván, Calvillo-Aguilar Francisco Fabián, Pichardo-González Juan Manuel, Guzmán Luis Felipe
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110759- (2024)
Forty-five accessions of the genus Phaseolus from the orthodox seed collection of the National Center for Genetic Resources (CNRG) of the National Institute of Forestry, Agricultural, and Livestock Research (INIFAP) of Mexico were sequenced using RAD
Externí odkaz:
https://doaj.org/article/4d410eaadd6f42f7b0488482225b35f8
Autor:
Gronberg, Mary P., Beadle, Beth M., Garden, Adam S., Skinner, Heath, Gay, Skylar, Netherton, Tucker, Cao, Wenhua, Cardenas, Carlos E., Chung, Christine, Fuentes, David, Fuller, Clifton D., Howell, Rebecca M., Jhingran, Anuja, Lim, Tze Yee, Marquez, Barbara, Mumme, Raymond, Olanrewaju, Adenike M., Peterson, Christine B., Vazquez, Ivan, Whitaker, Thomas J., Wooten, Zachary, Yang, Ming, Court, Laurence E.
Publikováno v:
Practical Radiation Oncology, Volume 13, Issue 3, May-June 2023, Pages e282-e291
Purpose: This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans. Methods: A total of 245 VMAT HN plans were created using RapidPlan knowledge-based planning (KBP). A subset
Externí odkaz:
http://arxiv.org/abs/2209.14277