Zobrazeno 1 - 10 of 103 pro vyhledávání: '"Selen Cremaschi"'
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Akademický článek
Prediction of Human Induced Pluripotent Stem Cell Cardiac Differentiation Outcome by Multifactorial Process Modeling
Autor: Bianca Williams, Wiebke Löbel, Ferdous Finklea, Caroline Halloin, Katharina Ritzenhoff, Felix Manstein, Samira Mohammadi, Mohammadjafar Hashemi, Robert Zweigerdt, Elizabeth Lipke, Selen Cremaschi
Publikováno v: Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Human cardiomyocytes (CMs) have potential for use in therapeutic cell therapy and high-throughput drug screening. Because of the inability to expand adult CMs, their large-scale production from human pluripotent stem cells (hPSC) has been suggested.
Externí odkaz: https://doaj.org/article/ba0ab21ed7074ba4814dd81d100ac69f
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2
Akademický článek
A New Framework to Primal Bounding Multistage Stochastic Programs Under Endogenous and Exogenous Uncertainties
Autor: Zuo Zeng, Selen Cremaschi
Publikováno v: Chemical Engineering Transactions, Vol 74 (2019)
Optimization problems with both decision-dependent (endogenous) and decision-independent (exogenous) uncertainties are typical in the chemical process industry, especially in planning and scheduling. Stochastic programming is a framework for modellin
Externí odkaz: https://doaj.org/article/bfdc46476f194425961e96428934ec2d
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4
Carbon dioxide capture from the Kraft mill limekiln: process and techno-economic analysis
Autor: Amod Parkhi, David Young, Selen Cremaschi, Zhihua Jiang
Publikováno v: Discover Chemical Engineering. 3
In this work, a techno-economic assessment of carbon dioxide capture from limekiln flue gas of a pulp and paper mill (Mill A) and a linerboard mill (Mill B) using a Monoethanolamine (MEA) absorption desorption process was carried out. We coupled the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f3cd772f9281314d3fe20ebdf522a5b9
https://doi.org/10.1007/s43938-023-00024-7
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6
Differentiating Engineered Tissue Images and Experimental Factors to Classify Cardiomyocyte Content
Autor: Samira Mohammadi, Mohammadjafar Hashemi, Ferdous B. Finklea, Elizabeth A. Lipke, Selen Cremaschi
Publikováno v: Tissue engineering. Part A.
In this study, we employed machine learning (ML) to classify the cardiomyocyte (CM) content on day 10 of the differentiation of human-induced pluripotent stem cell (hiPSC)-laden microspheroids using easily acquirable non-destructive phase-contrast im
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::635fdaa568c6e1a0371cc6a70d4af887
https://pubmed.ncbi.nlm.nih.gov/36193567
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9
Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization
Autor: Bianca Williams, Selen Cremaschi
Publikováno v: Chemical Engineering Research and Design. 170:76-89
Surrogate models are used to map input data to output data when the actual relationship between the two is unknown or computationally expensive to evaluate for several applications, including surface approximation and surrogate-based optimization. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d767f7d95674a30e24b7984d252416bd
https://doi.org/10.1016/j.cherd.2021.03.028
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