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Optimizing Bioengineered Vascular Sy...

ProQuest Information and Learning Co.

Optimizing Bioengineered Vascular Systems : = A Genetic Algorithm Approach.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Optimizing Bioengineered Vascular Systems :/
Reminder of title:	A Genetic Algorithm Approach.
Author:	Kolchaki, Sima Mehri.
Description:	1 online resource (45 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355329063

Optimizing Bioengineered Vascular Systems : = A Genetic Algorithm Approach.
Kolchaki, Sima Mehri.

Optimizing Bioengineered Vascular Systems :A Genetic Algorithm Approach. - 1 online resource (45 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.S.)

Includes bibliographical references

Efficiency of current cell cultures producing biological products is limited due to accumulation of the product and waste on the cells. A previous work aims at assisting bioengineers in solving this problem by introducing a new set of cells which possess the ability to connect to one another and thus form a network. Once created, the network of cells can help the initial cellules by removing their waste and product as well as nourishing them. Our project explores a technique to be able to create the best network of such cells; hence maximizing the amount of metabolic product in the cell culture.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355329063Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Optimizing Bioengineered Vascular Systems : = A Genetic Algorithm Approach.
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035 $a (MiAaPQ)usu:12602
035 $a AAI10636059
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Kolchaki, Sima Mehri. $3 1182322
245 1 0 $a Optimizing Bioengineered Vascular Systems : $b A Genetic Algorithm Approach.
264 0 $c 2017
300 $a 1 online resource (45 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Adviser: Nicholas S. Flann.
502 $a Thesis (M.S.) $c Utah State University $d 2017.
504 $a Includes bibliographical references
520 $a Efficiency of current cell cultures producing biological products is limited due to accumulation of the product and waste on the cells. A previous work aims at assisting bioengineers in solving this problem by introducing a new set of cells which possess the ability to connect to one another and thus form a network. Once created, the network of cells can help the initial cellules by removing their waste and product as well as nourishing them. Our project explores a technique to be able to create the best network of such cells; hence maximizing the amount of metabolic product in the cell culture.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Utah State University. $b Engineering. $3 1182323
773 0 $t Masters Abstracts International $g 57-02(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10636059 $z click for full text (PQDT)

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