Introduction to Biomedical EngineeringPearson/Prentice Hall, 2004 - 244 sider For freshman and limited calculus-based courses in Introduction to Biomedical Engineering or Introduction to Bioengineering. This text presents freshman-level students with a study of some of the best engineering designs provided by nature and exposes them to bioengineering practice from a variety of perspectives. Examining the living system from the molecular to the the human scale, this text covers such key issues as optimization, scaling, and design; and introduces these concepts in a sequential, layered manner. Analysis strategies, science, and technology are illustrated in each chapter. |
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Side 34
... variables do not change with time . When variables change with time , the process is termed unsteady . An example is provided by water flowing into a sink . When the faucet is turned on and the drain is closed , water flows into the ...
... variables do not change with time . When variables change with time , the process is termed unsteady . An example is provided by water flowing into a sink . When the faucet is turned on and the drain is closed , water flows into the ...
Side 131
... variables . Correlation coefficients quantify the relationships between ob- served values of variables . When a correlation coefficient equals zero , the two variables behave as if they have no relationship to each other . When one variable ...
... variables . Correlation coefficients quantify the relationships between ob- served values of variables . When a correlation coefficient equals zero , the two variables behave as if they have no relationship to each other . When one variable ...
Side 132
... variable allows one to also make statements about what the other two variables are doing . That seemed easy enough , but consider a 1000 × 1000 matrix . There will be about 500,000 relationships between variables , and sorting through ...
... variable allows one to also make statements about what the other two variables are doing . That seemed easy enough , but consider a 1000 × 1000 matrix . There will be about 500,000 relationships between variables , and sorting through ...
Indhold
What is Bioengineering? | 3 |
Cellular Elemental and Molecular Building Blocks | 16 |
Mass Conservation Cycling and Kinetics | 33 |
Copyright | |
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activity amino acids analysis artificial heart Assume bacteria binding sites biochemical bioengineering biomaterials engineering Biomedical Engineering body carbon cellular Chapter chemical clotting coli constant contact angle device digestive system disease drug energy enzyme equal Equation example factor flow rate fluid fluorescent free induction free induction decay frequency function genetic glucose growth heat hormone human illustrate immune system implanted increase ingested insulin interactions iron ISBN kinetics ligand magnetic mass balance matrix mechanisms membrane metabolic engineering molecular molecules mRNA needed nutrients occurs organs Overall oxidation oxygen patient percent performed plasma platelet polymer pressure drop problem produce protein pump raw materials reaction Recall recycle red blood cells released result shear force shear stress shown in Figure signal strategy substrate sugar surface tion tissue engineering tube turnover number typical variables velocity versus voltage volume yield