Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hsin-Yuan Hu"'
Publikováno v:
Journal of Library and Information Studies, Vol 19, Iss 1, Pp 19-41 (2021)
Well-designed web information architecture (IA) supports the findability and usability of web content, with the wider aim of ensuring efficient, positive user experiences. Accordingly, this study investigates cultural differences in how web visitors
Externí odkaz:
https://doaj.org/article/f1219bb4087547cc8aa3af4b92b3b699
Autor:
Hsin-Yuan Hu, 胡馨元
103
Organic nontoxic sustainable agroecosystem is the goal of perspective agriculture management. To fulfill this purpose, integrated pest management (IPM) is compulsory. Previously, Isaria javanica isolated from caterpillar (Lepidoptera), after
Organic nontoxic sustainable agroecosystem is the goal of perspective agriculture management. To fulfill this purpose, integrated pest management (IPM) is compulsory. Previously, Isaria javanica isolated from caterpillar (Lepidoptera), after
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/60964043081099055161
Autor:
Shang-Yu Tsai, Chih-Hung Lin, Yu-Ting Jiang, Guo-Jen Huang, Haiwei Pi, Hsin-Yuan Hung, Woan-Yuh Tarn, Ming-Chih Lai
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract DEAD-box RNA helicase 3 (DDX3) and its homologs play a vital role in translation initiation by unwinding secondary structures of selected mRNAs. The human DDX3 gene is located on the sex chromosomes, so there are DDX3X and DDX3Y. DDX3X is ub
Externí odkaz:
https://doaj.org/article/ce2ea1000dac4d2ba089a6cc0f7b47c5
Publikováno v:
JPRAS Open, Vol 39, Iss , Pp 27-31 (2024)
Reconstruction of complex rectovaginal fistula is challenging, and it has a high recurrence rate. Traditional reconstruction included a local flap or a myocutaneous flap reconstruction, which is either difficult in radiated cases or that the flap is
Externí odkaz:
https://doaj.org/article/15021527374e4185897a79d3072a79a1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Two 2,7-dicyaonfluorene-based molecules 27-DCN and 27-tDCN are utilized as acceptors (A) to combine with hexaphenylbenzene-centered donors (D) TATT and DDT-HPB for probing the exciplex formation. The photophysical characteristics reveal that
Externí odkaz:
https://doaj.org/article/0d72f2bfd253474581b8fbddd897bbdf
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geom
Externí odkaz:
https://doaj.org/article/87019dd60c254c2fab03bb0955c59007
Publikováno v:
PRX Quantum, Vol 5, Iss 4, p 040306 (2024)
While quantum state tomography is notoriously hard, most states hold little interest to practically minded tomographers. Given that states and unitaries appearing in nature are of bounded gate complexity, it is natural to ask if efficient learning be
Externí odkaz:
https://doaj.org/article/730c469988fd4b67b5bce8209329f52e
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-6 (2023)
Abstract The recent proliferation of NISQ devices has made it imperative to understand their power. In this work, we define and study the complexity class NISQ, which encapsulates problems that can be efficiently solved by a classical computer with a
Externí odkaz:
https://doaj.org/article/ded42b39d069451d88be0784314026b0
Autor:
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Generalization bounds are a critical tool to assess the training data requirements of Quantum Machine Learning (QML). Recent work has established guarantees for in-distribution generalization of quantum neural networks (QNNs), where training
Externí odkaz:
https://doaj.org/article/70f24e87b63943c980a107a5799fddd6
Autor:
Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013241 (2024)
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Her
Externí odkaz:
https://doaj.org/article/a995f3ee90b94a3db452aa089bbc0cbc