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{ "item_title" : "Population Balances in Biomedical Engineering", "item_author" : [" Martin Hjortso "], "item_description" : "Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The population balance modeling is a statistical approach for achieving accurate counts of any populations. It is an efficient way of counting traffic on roadways as well as to bacteria in lakes. In the biomedical world, it is used to count cell populations for the creation of biomaterials. Despite their undisputed accuracy, they have been underutilized for design and control purposes due to two main reasons: a) they are hard to solve and b) the functions that describe single-cell mechanisms and appear as parameters in these models are typically unknown.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/07/144/768/0071447687_b.jpg", "price_data" : { "retail_price" : "189.00", "online_price" : "189.00", "our_price" : "189.00", "club_price" : "189.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Population Balances in Biomedical Engineering|Martin Hjortso

Population Balances in Biomedical Engineering : Segregation Through the Distribution of Cell States

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.




The population balance modeling is a statistical approach for achieving accurate counts of any populations. It is an efficient way of counting traffic on roadways as well as to bacteria in lakes. In the biomedical world, it is used to count cell populations for the creation of biomaterials. Despite their undisputed accuracy, they have been underutilized for design and control purposes due to two main reasons: a) they are hard to solve and b) the functions that describe single-cell mechanisms and appear as parameters in these models are typically unknown.

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Details

  • ISBN-13: 9780071447683
  • ISBN-10: 0071447687
  • Publisher: McGraw-Hill Companies
  • Publish Date: October 2005
  • Dimensions: 9.36 x 6.02 x 0.77 inches
  • Shipping Weight: 0.93 pounds
  • Page Count: 182

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