نتایج جستجو برای: growth optimization
تعداد نتایج: 1128355 فیلتر نتایج به سال:
Abstract Human insulin-like growth factor I (hIGF-I) is a kind of growth factor with clinical significance in medicine. The major objective of this study is over- production of recombinant human insulin-like growth factor I( rhIGF-I) through a developed process by recruiting effective factors in order to achieve the most recombinant protein. Up to now E. coli expression system has been widely us...
Abstract Human insulin-like growth factor I (hIGF-I) is a kind of growth factor with clinical significance in medicine. The major objective of this study is over- production of recombinant human insulin-like growth factor I( rhIGF-I) through a developed process by recruiting effective factors in order to achieve the most recombinant protein. Up to now E. coli expression system has been widely us...
Abstract: This paper presents a modified method based on teaching learning based optimization algorithm to solve the problem of the single- and multi-objective optimal location of distributed generation units to cope up the load growth in the distribution network .Minimizing losses, voltage deviation, energy cost and improved voltage stability are the objective functions in this problem. Load g...
introduction: dental pulp-derived mesenchymal stem cells (mscs) have emerged as a promising tool for use in regenerative medicine. the in vitro growth kinetic and culture requirement of the cells derived from human dental pulp, which is the subject of this present study, is poorly described. materials and methods: stem cells were derived from human third molar and then characterized. the in vit...
optimization of maintenance resources to maximize the system availability is a major concern in different manufacturing systems. therefore, a lot of effort is put to construct optimization models to reach the maximum availability level and to reduce the costs of lack of availability. however, despite these efforts, data uncertainty in the real world problems was neglected in proposed models whi...
Reconstructions of genome-scale metabolic networks from different organisms have become popular in recent years. Metabolic engineering can simulate the reconstruction process to obtain desirable phenotypes. In previous studies, optimization algorithms have been implemented to identify the near-optimal sets of knockout genes for improving metabolite production. However, previous works contained ...
Many instrumentation developments in crystallization have concentrated on massive parallelization assays and reduction of sample volume per experiment to find initial crystallization conditions. Yet improving the size and diffraction quality of the crystals for diffraction studies often requires decoupling of crystal nucleation and growth. This in turn requires the control of variables such as ...
Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process. The control strategy is based on a non-linear moment model. The dynamic model, consisting of differential and algebraic equations, is optimized using the simultaneous optimization approach in which all the state and input trajectories are parameterized. The resulting non-linear programming pr...
due to project evaluation complexity and resource constraints, the project portfolio optimization is numerous decision making challenges. hence, many researches have been done to introduce model and methods for portfolio optimization. but most of them have not considered the interaction between projects. considering the interactions between projects increase complexity of portfolio optimization...
Shewanella oneidensis MR-1 sequentially utilizes lactate and its waste products (pyruvate and acetate) during batch culture. To decipher MR-1 metabolism, we integrated genome-scale flux balance analysis (FBA) into a multiple-substrate Monod model to perform the dynamic flux balance analysis (dFBA). The dFBA employed a static optimization approach (SOA) by dividing the batch time into small inte...
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