Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Shinjae Yoo"'
Autor:
Sean R. Miller, Matthew Schipper, Lars G. Fritsche, Ralph Jiang, Garth Strohbehn, Erkin Ötleş, Benjamin H. McMahon, Silvia Crivelli, Rafael Zamora‐Resendiz, Nithya Ramnath, Shinjae Yoo, Xin Dai, Kamya Sankar, Donna M. Edwards, Steven G. Allen, Michael D. Green, Alex K. Bryant
Publikováno v:
Cancer Medicine, Vol 13, Iss 21, Pp n/a-n/a (2024)
ABSTRACT Background The cumulative, health system‐wide survival benefit of immune checkpoint inhibitors (ICIs) is unclear, particularly among real‐world patients with limited life expectancies and among subgroups poorly represented on clinical tr
Externí odkaz:
https://doaj.org/article/9a3b346a3ce341aea34bb04656fb9eec
Autor:
Alex K. Bryant, Rafael Zamora‐Resendiz, Xin Dai, Destinee Morrow, Yuewei Lin, Kassidy M. Jungles, James M. Rae, Akshay Tate, Ashley N. Pearson, Ralph Jiang, Lars Fritsche, Theodore S. Lawrence, Weiping Zou, Matthew Schipper, Nithya Ramnath, Shinjae Yoo, Silvia Crivelli, Michael D. Green
Publikováno v:
Cancer Medicine, Vol 13, Iss 12, Pp n/a-n/a (2024)
Abstract Purpose Real world evidence is crucial to understanding the diffusion of new oncologic therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real world evidence is challenging to collect rapidly and compreh
Externí odkaz:
https://doaj.org/article/24564ba419ab4b8aac5c0b927356a621
Autor:
Xi Yu, Longlong Wu, Yuewei Lin, Jiecheng Diao, Jialun Liu, Jörg Hallmann, Ulrike Boesenberg, Wei Lu, Johannes Möller, Markus Scholz, Alexey Zozulya, Anders Madsen, Tadesse Assefa, Emil S. Bozin, Yue Cao, Hoydoo You, Dina Sheyfer, Stephan Rosenkranz, Samuel D. Marks, Paul G. Evans, David A. Keen, Xi He, Ivan Božović, Mark P. M. Dean, Shinjae Yoo, Ian K. Robinson
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Domain wall structures form spontaneously due to epitaxial misfit during thin film growth. Imaging the dynamics of domains and domain walls at ultrafast timescales can provide fundamental clues to features that impact electrical transport in
Externí odkaz:
https://doaj.org/article/da2a83fdbdc04b3bb207dc5c1e0f51cb
Publikováno v:
Water, Vol 16, Iss 19, p 2857 (2024)
Predicting nutrient loads is essential to understanding and managing one of the environmental issues faced by the northern Gulf of Mexico hypoxic zone, which poses a severe threat to the Gulf’s healthy ecosystem and economy. The development of hypo
Externí odkaz:
https://doaj.org/article/4a34580ebdb649959b2dbd5cc95bae52
Autor:
Xihaier Luo, Seyednami Niyakan, Patrick Johnstone, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
Radiation exposure poses a significant threat to human health. Emerging research indicates that even low-dose radiation once believed to be safe, may have harmful effects. This perception has spurred a growing interest in investigating the potential
Externí odkaz:
https://doaj.org/article/ebfb8cc60844488aae40eb2f9de38137
Autor:
David Keetae Park, Mingshen Chen, Seungsoo Kim, Yoonjung Yoonie Joo, Rebekah K. Loving, Hyoung Seop Kim, Jiook Cha, Shinjae Yoo, Jong Hun Kim
Publikováno v:
BMC Genomic Data, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract Background When polygenic risk score (PRS) is derived from summary statistics, independence between discovery and test sets cannot be monitored. We compared two types of PRS studies derived from raw genetic data (denoted as rPRS) and the sum
Externí odkaz:
https://doaj.org/article/2562061dbfd6489d81299e5e31723f94
Autor:
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou, Srinivasan Arunachalam, Christian W. Bauer, Kerstin Borras, Stefano Carrazza, Arianna Crippa, Vincent Croft, Roland de Putter, Andrea Delgado, Vedran Dunjko, Daniel J. Egger, Elias Fernández-Combarro, Elina Fuchs, Lena Funcke, Daniel González-Cuadra, Michele Grossi, Jad C. Halimeh, Zoë Holmes, Stefan Kühn, Denis Lacroix, Randy Lewis, Donatella Lucchesi, Miriam Lucio Martinez, Federico Meloni, Antonio Mezzacapo, Simone Montangero, Lento Nagano, Vincent R. Pascuzzi, Voica Radescu, Enrique Rico Ortega, Alessandro Roggero, Julian Schuhmacher, Joao Seixas, Pietro Silvi, Panagiotis Spentzouris, Francesco Tacchino, Kristan Temme, Koji Terashi, Jordi Tura, Cenk Tüysüz, Sofia Vallecorsa, Uwe-Jens Wiese, Shinjae Yoo, Jinglei Zhang
Publikováno v:
PRX Quantum, Vol 5, Iss 3, p 037001 (2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup of numeri
Externí odkaz:
https://doaj.org/article/7b1949bdccb94d2cb85449d08f6e2b1f
Autor:
Haoyue Guo, Matthew R. Carbone, Chuntian Cao, Jianzhou Qu, Yonghua Du, Seong-Min Bak, Conan Weiland, Feng Wang, Shinjae Yoo, Nongnuch Artrith, Alexander Urban, Deyu Lu
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)
Abstract X-ray absorption spectroscopy (XAS) is a premier technique for materials characterization, providing key information about the local chemical environment of the absorber atom. In this work, we develop a database of sulfur K-edge XAS spectra
Externí odkaz:
https://doaj.org/article/502e6c66f2694d939a568ffae2df3efd
Autor:
Longlong Wu, Seongmin Bak, Youngho Shin, Yong S. Chu, Shinjae Yoo, Ian K. Robinson, Xiaojing Huang
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-8 (2023)
Abstract Multimodal hard X-ray scanning probe microscopy has been extensively used to study functional materials providing multiple contrast mechanisms. For instance, combining ptychography with X-ray fluorescence (XRF) microscopy reveals structural
Externí odkaz:
https://doaj.org/article/ca179fb5c3c74f82b9305743596e9368
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Quantum machine learning (QML) can complement the growing trend of using learned models for a myriad of classification tasks, from image recognition to natural speech processing. There exists the potential for a quantum advantage due to the
Externí odkaz:
https://doaj.org/article/5e166943967f403abeab9d90692f0091