Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
Biotechnol Bioeng ; 110(3): 792-802, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23055276

ABSTRACT

Dynamic flux balance analysis (DFBA) provides a platform for detailed design, control and optimization of biochemical process technologies. It is a promising modeling framework that combines genome-scale metabolic network analysis with dynamic simulation of the extracellular environment. Dynamic flux balance analysis assumes that the intracellular species concentrations are in equilibrium with the extracellular environment. The resulting underdetermined stoichiometric model is solved under the assumption of a biochemical objective such as growth rate maximization. The model of the metabolism is coupled with the dynamic mass balance equations of the extracellular environment via expressions for the rates of substrate uptake and product excretion, which imposes additional constraints on the linear program (LP) defined by growth rate maximization of the metabolism. The linear program is embedded into the dynamic model of the bioreactor, and together with the additional constraints this provides an accurate model of the substrate consumption, product secretion, and biomass production during operation. A DFBA model consists of a system of ordinary differential equations for which the evaluation of the right-hand side requires not only function evaluations, but also the solution of one or more linear programs. The numerical tool presented here accurately and efficiently simulates large-scale dynamic flux balance models. The main advantages that this approach has over existing implementation are that the integration scheme has a variable step size, that the linear program only has to be solved when qualitative changes in the optimal flux distribution of the metabolic network occur, and that it can reliably simulate behavior near the boundary of the domain where the model is defined. This is illustrated through large-scale examples taken from the literature.


Subject(s)
Biotechnology/methods , Computer Simulation , Metabolic Networks and Pathways , Systems Biology/methods , Biomass , Bioreactors
2.
Nurs Manage ; 32(1): 12, 2001 Jan.
Article in English | MEDLINE | ID: mdl-15103773

ABSTRACT

Here, the Joint Commission reviews revised standards for five 2001 manuals.


Subject(s)
Guidelines as Topic , Joint Commission on Accreditation of Healthcare Organizations , Manuals as Topic , Humans , Organizational Innovation , United States
3.
Nurs Manage ; 31(11): 14, 2000 Nov.
Article in English | MEDLINE | ID: mdl-15127462

ABSTRACT

The Joint Commission has revised core standards in the Education chapter of the Comprehensive Accreditation Manual for Hospitals.


Subject(s)
Guidelines as Topic , Joint Commission on Accreditation of Healthcare Organizations , Patient Education as Topic/standards , Financing, Personal , Hospital Charges , Humans , Oral Health , United States
4.
Nurs Manage ; 30(5): 10, 1999 May.
Article in English | MEDLINE | ID: mdl-10382494

ABSTRACT

One of the changes to the Joint Commission's Performance Improvement standards noted here is the requirement to collect specific data.


Subject(s)
Data Collection/standards , Joint Commission on Accreditation of Healthcare Organizations , Total Quality Management/organization & administration , Humans , Organizational Innovation
SELECTION OF CITATIONS
SEARCH DETAIL
...