Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Baolian Cheng"'
Autor:
Baolian Cheng, Paul A. Bradley
Publikováno v:
Plasma, Vol 7, Iss 1, Pp 146-159 (2024)
The performance of fusion capsules on the National Ignition Facility (NIF) is strongly affected by the physical properties of the hot deuterium–tritium (DT) fuel, such as the mass, areal density, and pressure of the hot spot at the stagnation time.
Externí odkaz:
https://doaj.org/article/dcde5c4e791c4b51b93c0282ba9939e2
Autor:
Baolian Cheng, Paul A. Bradley
Publikováno v:
Plasma, Vol 6, Iss 2, Pp 334-344 (2023)
Machine learning methodologies have played remarkable roles in solving complex systems with large data, well-defined input–output pairs, and clearly definable goals and metrics. The methodologies are effective in image analysis, classification, and
Externí odkaz:
https://doaj.org/article/e63b796a648d4ec2b35cc59d81487dfc
Publikováno v:
Frontiers in Public Health, Vol 11 (2024)
BackgroundThe global burden of digestive diseases has increased in recent years. The study aims to comprehend the trend of incidence and death rates related to digestive diseases in China from 2000 to 2020.MethodsThe study collected data on digestive
Externí odkaz:
https://doaj.org/article/1ee7de85eef0437a8c7589f651a82cfe
Autor:
Bradley, Baolian Cheng, Paul A.
Publikováno v:
Plasma; Volume 6; Issue 2; Pages: 334-344
Machine learning methodologies have played remarkable roles in solving complex systems with large data, well-defined input–output pairs, and clearly definable goals and metrics. The methodologies are effective in image analysis, classification, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::473dde9dd17c773e1d67befbff6d6cdf
Autor:
Yi-Ming Wang, Baolian Cheng
Predictively forecasting future developments for the spread of the COVID-19 pandemic is extremely challenging. A recently published logistic mathematic model has achieved good predictions for infections weeks ahead. In this short communication, we su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8ea541b5870ffe8c2ee3e69dbadc17
https://doi.org/10.1101/2021.03.26.21254429
https://doi.org/10.1101/2021.03.26.21254429
Autor:
Yi-Ming Wang, Baolian Cheng
Publikováno v:
Chaos (Woodbury, N.Y.). 30(12)
The rapid spread of COVID-19 worldwide presents a great challenge to epidemic modelers. Model outcomes vary widely depending on the characteristics of a pathogen and the models. Here, we present a logistic model for the epidemic spread and divide the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e542cb9740ad12f3bb5e524e8eaad30
https://pubmed.ncbi.nlm.nih.gov/33380055
https://pubmed.ncbi.nlm.nih.gov/33380055
Autor:
Baolian Cheng, Yi-Ming Wang
This work presents a mathematical model that captures time-dependent social-distancing effects and presents examples of the consequences of relaxing social-distancing restrictions in the fight against the novel coronavirus epidemic. Without social di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee9c779a7b0755151c1fd03f1ef0a75
https://doi.org/10.1101/2020.08.02.20166967
https://doi.org/10.1101/2020.08.02.20166967
Autor:
Yi-Ming Wang, Baolian Cheng
The spread of the novel coronavirus is characterized by two phases: (I) a natural exponential growth phase that occurs in the absence of intervention and (II) a regulated growth phase that is affected by enforcing social distancing and isolation. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cd9ee8f756a0feca0f731a64f73878d
https://doi.org/10.1101/2020.04.27.20081281
https://doi.org/10.1101/2020.04.27.20081281
Publikováno v:
Physica D: Nonlinear Phenomena. 404:132356
The alphas ( α b , α s ) and thetas ( θ b , θ s ) are the essential parameters describing the asymptotic growth behavior of the mixing layer driven by Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) instabilities at the interface between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7290b7de645eced54dc7824960bd19ea
https://doi.org/10.1016/j.physd.2020.132356
https://doi.org/10.1016/j.physd.2020.132356
Publikováno v:
Physica D: Nonlinear Phenomena. 404:132346
Three algorithms have been proposed for solution of the Rayleigh–Taylor turbulent mixing problem. They are based upon three different physical principles governing the Euler equations for fluid flow. The principles serve to select the physically re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea08b27609dd310b82a8b2a37dffd2d5
https://doi.org/10.1016/j.physd.2020.132346
https://doi.org/10.1016/j.physd.2020.132346