Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Lloyd P. M. Johnston"'
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Akademický článek
Synthetic vaccine particles for durable cytolytic T lymphocyte responses and anti-tumor immunotherapy.
Autor: Petr O Ilyinskii, Grigoriy I Kovalev, Conlin P O'Neil, Christopher J Roy, Alicia M Michaud, Natalia M Drefs, Mikhail A Pechenkin, Fen-Ni Fu, Lloyd P M Johnston, Dmitry A Ovchinnikov, Takashi Kei Kishimoto
Publikováno v: PLoS ONE, Vol 13, Iss 6, p e0197694 (2018)
We previously reported that synthetic vaccine particles (SVP) encapsulating antigens and TLR agonists resulted in augmentation of immune responses with minimal production of systemic inflammatory cytokines. Here we evaluated two different polymer for
Externí odkaz: https://doaj.org/article/9f01f61eeda54a439de2914fa8f41d1c
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2
Optimal design of reverse osmosis module networks
Autor: Fazilet Maskan, David J. Clements, Dianne E. Wiley, Lloyd P. M. Johnston
Publikováno v: AIChE Journal. 46:946-954
The structure of individual reverse osmosis modules, the configuration of the module network, and the operating conditions were optimized for seawater and brackish water desalination. The system model included simple mathematical equations to predict
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cf5e0c4f9b25241fad8062b5c4b40de
https://doi.org/10.1002/aic.690460509
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3
Estimating state probability distributions from noisy and corrupted data
Autor: Mark A. Kramer, Lloyd P. M. Johnston
Publikováno v: AIChE Journal. 44:591-602
The method of recursive state density estimation (RSDE) is developed for determining the probability distribution of the states of a system from measurements that contain both random noise and gross errors. The technique is based on the expectation m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f9224a3e688a022e58ed09ff61a4aaa8
https://doi.org/10.1002/aic.690440310
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4
Copolymerization Propagation Kinetics of Styrene and Methyl Methacrylate-Revisited. 2. Kinetic Analysis
Autor: Thomas P. Davis, Michelle L. Coote, Lloyd P. M. Johnston
Publikováno v: Macromolecules. 30:8191-8204
In this work, both the implicit penultimate model and a version of the terminal bootstrap model were fitted to extensive (k) over bar(p) data covering a temperature range of 17.9-57.2 degrees C, for the copolymerization of styrene and methyl methacry
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c57e17e4d1967f120df3e6a8d1710f5
https://doi.org/10.1021/ma971052k
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5
Maximum likelihood data rectification: Steady-state systems
Autor: Lloyd P. M. Johnston, Mark A. Kramer
Publikováno v: AIChE Journal. 41:2415-2426
A maximum likelihood rectification (MLR) technique that poses the data-rectification problem in a probabilistic framework and maximizes the probability of the estimated plant states given the measurements is proposed. This approach does not divide th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00a1ca2b52cdbda88c89df7e89df503c
https://doi.org/10.1002/aic.690411108
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6
Probability density estimation using elliptical basis functions
Autor: Mark A. Kramer, Lloyd P. M. Johnston
Publikováno v: AIChE Journal. 40:1639-1649
Elliptical basis function (EBF) networks are introduced as a new nonparametric method of estimating probability density functions for process data. Unlike Parzen window density estimators that use identical hyperspherical basis functions, the EBF met
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f3b7bf13cf32598a37d59d71710e0cda
https://doi.org/10.1002/aic.690401006
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