abstract the utility of carbon paste electrode for the determination of flavoxate hcl modified with flavoxate-tetraphenylborate (flx-tpb) and flavoxate-phosphotungestic acid (flx-pta) ion-pairs in batch mode is demonstrated. the electrodes revealed a nernstian response over a wide concentration ranges 1.39×10-5-1x10-2 mol l-1 and1×10-5-1x10-2 mol l-1 using flx-tpb and flx-pta, respectively. the...

Most large-scale production processes in biotechnology are performed in fed-batch operational mode. In contrast, the screenings for microbial production strains are run in batch mode, which results in the microorganisms being subjected to different physiological conditions. This significantly affects strain selection. To demonstrate differences in ranking during strain selection depending on th...

Dynamic mapping (matching and scheduling) heuristics for a class of independent tasks using heterogeneous distributed computing systems are studied. Two types of mapping heuristics are considered: immediate mode and batch mode heuristics. Three new heuristics, one for batch mode and two for immediate mode, are introduced as part of this research. Simulation studies are performed to compare thes...

In Desktop grid computing environment, range of computing devices coexists starting from personal computers to supercomputers. These devices are inter-connected to provide a variety of computational capabilities in order to execute applications that have diverse requirements. An important decision for such computing infrastructure is how to optimally allocate computational and communication res...

Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning have focused on selecting one unlabeled instance to label at one time while retraining in each iteration. Recently a few batch mode active learning approaches have been proposed that select a set of most informative un...

Bayesian Optimization (BO) aims at optimizing an unknown function that is costly to evaluate. We focus on applications where concurrent function evaluations are possible. In such cases, BO could choose to either sequentially evaluate the function (sequential mode) or evaluate the function at a batch of multiple inputs at once (batch mode). The sequential mode generally leads to better optimizat...

The computational grid is a new paradigm in parallel and distributed computing systems for realizing a virtual supercomputer over idle resources available in a wide area network like the Internet. Computational Grids are characterized for exploiting highly heterogeneous resources; so, one of the main concerns in developing computational grids is how to effectively map tasks onto heterogeneous r...

The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from the higher complexity of the algorithm in batch mode, we know that this approach has some limitations over the sequential mode. In this paper we present a way of combining both modes when using entropic criteria. We pr...

Industrial fermentation systems are often operated in fed-batch mode [1], however this mode of operation can make planning and scheduling challenging due to batch-to-batch variation. There is natural variability in the length of the batch phase due to biological variations, in addition to batch-to-batch variations in initial process conditions from raw materials [2]. These affect the reproducib...