8 research outputs found

    Exploring alternative oncogene-free mammalian hosts for adeno-associated virus production

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    Please click Additional Files below to see the full abstract

    Implementing Solar Energy in Desalination Plants in Libya

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    Poster Presentation, People\u27s Choice Winner (2015)https://digitalcommons.wpi.edu/gps-posters/1364/thumbnail.jp

    Investigating the Efficiency of Canola and Corn Oil Used for Potato Chip Frying at Frito-Lay

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    In 2014, Frito-Lay held 60% of the potato chip market share in the United States, generating over $3 billion in sales (PepsiCo Annual Report, 2017). The company uses canola and corn oil to fry the potatoes. Frito-Lay operators noticed that a greater amount of canola oil is required to produce one pound of potato chips than corn oil. Our project aims to determine the cause of the difference in oil efficiency observed when using canola oil and corn oil to fry potato chips. We conducted pilot and plant scale experiments, analyzed Frito-Lay’s quality control data and evaluated the equation used to calculate oil efficiency. It was found that canola’s absorption in the potato chips is higher than corn by 3% to 5% approximately

    Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors

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    Fed-batch culture is an established operation mode for the production of biologics using mammalian cell cultures. Quantitative modeling integrates both kinetics for some key reaction steps and optimization-driven metabolic flux allocation, using flux balance analysis; this is known to lead to certain mathematical inconsistencies. Here, we propose a physically-informed data-driven hybrid model (a "gray box") to learn models of the dynamical evolution of Chinese Hamster Ovary (CHO) cell bioreactors from process data. The approach incorporates physical laws (e.g. mass balances) as well as kinetic expressions for metabolic fluxes. Machine learning (ML) is then used to (a) directly learn evolution equations (black-box modelling); (b) recover unknown physical parameters ("white-box" parameter fitting) or -- importantly -- (c) learn partially unknown kinetic expressions (gray-box modelling). We encode the convex optimization step of the overdetermined metabolic biophysical system as a differentiable, feed-forward layer into our architectures, connecting partial physical knowledge with data-driven machine learning

    Assessing Current Information Delivery for the Visually Impaired

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    In Denmark, digitization has led to the decline of the "talking newspaper" compact disc (CD) mailing system, resulting in an information gap for the visually impaired. Sponsored by the Danish Association of the Blind (DAB), this report aims to recommend approaches for the timely distribution of DAISY formatted current information to the visually impaired. By communicating with various organizations and conducting a device evaluation with the visually impaired themselves, we recommended a multi-system approach with calling, assistive technology (AT), and smartphone compatibility, an active teaching and awareness program, and a collaboration between organizations for distributing current information effectively to the visually impaired
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