Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Pei Sheng Lin"'
Publikováno v:
SciPost Physics Core, Vol 6, Iss 2, p 028 (2023)
It has recently been shown that by broadcasting the subsystems of a bipartite quantum state, one can activate Bell nonlocality and significantly improve noise tolerance bounds for device-independent entanglement certification. In this work we strengt
Externí odkaz:
https://doaj.org/article/d5b4e2c862964fe19dea9980de269dd2
Publikováno v:
Quantum, Vol 6, p 765 (2022)
It is well-known that in a Bell experiment, the observed correlation between measurement outcomes – as predicted by quantum theory – can be stronger than that allowed by local causality, yet not fully constrained by the principle of relativistic
Externí odkaz:
https://doaj.org/article/72ea13fce06d4451ab0d3ad844343ead
Autor:
Yu-Chieh Cheng, Fang-Jing Lee, Ya-Ting Hsu, Eric V Slud, Chao A Hsiung, Chun-Hong Chen, Ching-Len Liao, Tzai-Hung Wen, Chiu-Wen Chang, Jui-Hun Chang, Hsiao-Yu Wu, Te-Pin Chang, Pei-Sheng Lin, Hui-Pin Ho, Wen-Feng Hung, Jing-Dong Chou, Hsiao-Hui Tsou
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 14, Iss 7, p e0008434 (2020)
Dengue fever is a viral disease transmitted by mosquitoes. In recent decades, dengue fever has spread throughout the world. In 2014 and 2015, southern Taiwan experienced its most serious dengue outbreak in recent years. Some statistical models have b
Externí odkaz:
https://doaj.org/article/22c7f66aa1b44728ba42d4bd8385dab3
Autor:
Li-Wei Kuo, Pei-Sheng Lin, Shih-Yen Lin, Ming-Fang Liu, Hengtai Jan, Hsin-Chien Lee, Sheng-Chang Wang
Publikováno v:
Frontiers in Psychiatry, Vol 10 (2019)
The treatment of heroin addiction is a complex process involving changes in addictive behavior and brain functioning. The goal of this study was to explore the brain default mode network (DMN) functional connectivity using resting-state functional ma
Externí odkaz:
https://doaj.org/article/388b2cb60a9c4bb29027f90f4e424a7d
Autor:
Pei‐Sheng Lin
Publikováno v:
Statistics in Medicine. 41:146-162
Identifying transmission of hot spots with temporal trends is important for reducing infectious disease propagation. Cluster analysis is a particularly useful tool to explore underlying stochastic processes between observations by grouping items into
Akademický článek
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Autor:
Jun Zhu, Pei‐Sheng Lin
Publikováno v:
Biometrics. 76:403-413
Mapping of disease incidence has long been of importance to epidemiology and public health. In this paper, we consider identification of clusters of spatial units with elevated disease rates and develop a new approach that estimates the relative dise
Autor:
Hsiao-Hui Tsou, Chun-Hong Chen, Pei-Sheng Lin, Tzai-Hung Wen, Yi-Hung Kung, Hsiang-Yu Yuan, Li-Wei Chen
Publikováno v:
International Journal of Biometeorology. 63:259-268
Dengue is one of the most rapidly spreading mosquito-borne viral diseases in the world. An increase in the incidence of dengue is commonly thought to be a consequence of variability of weather conditions. Taiwan, which straddles the Tropic of Cancer,
We consider the problem of demonstrating non-Bell-local correlations by performing local measurements in randomly chosen triads, i.e., three mutually unbiased bases, on a multipartite Greenberger-Horne-Zeilinger state. Our main interest lies on inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c845dae98e55d05036b365aae106876e
http://arxiv.org/abs/2005.12090
http://arxiv.org/abs/2005.12090
Autor:
Dirk U. Pfeiffer, Kathleen Sucipto, Hsiang-Yu Yuan, Mesfin Mengesha Tsegaye, Tzai-Hung Wen, Susanne Pfeiffer, Pei-Sheng Lin, Jingbo Liang
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
In recent years, dengue has been rapidly spreading and growing in the tropics and subtropics. Located in southern China, Hong Kong’s subtropical monsoon climate may favour dengue vector populations and increase the chance of disease transmissions d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c240c643f18b97aab03c1d090eeb2067