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Batch approaches are most commonly used, especially for energetic materials consisting of polymer composites.
Chemical engineering design problems have evolved in recent years from large scale bulk processes to targeted small batch approaches.
It has to be noted that every purification approach using metal ion affinity was compared with other works using IMAC chromatography for purification instead of batch approaches, since no such approaches have been reported yet.
While (fed-) batch approaches are characterized by steadily changing environmental conditions such as media composition, steady-state modes of a chemostat, where cells are cultivated with a pre-installed growth rate, are defined by environmental conditions that remain unchanged (Carlquist et al. [2012]).
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We have found the error caused by this batch approach to be quite large.
The first method was purification using Ni Sepharose high performance beads in a batch approach.
The framework performed in real-time, in comparison with the batch approach provided by the R application.
Most of the track fusion work documented in the literature involves a post-processing, batch approach to track-to-track association.
While the iterative batch approach to data processing improves on many of the deficiencies of the MapReduce paradigm, it still does not offer the ability to process data in real-time.
Moreover, material identification through tactile sensing can be solved as an continuous process, yet state of the art approaches use a batch approach where readings are taken for at least one second.
To examine the influence of biosorption parameters on biosorption of phenol and cyanide onto CSAC, such as biosorbent dosage (5 60 g/L), pH (4 12), initial phenol concentration (100 1000 mg/L), initial cyanide concentration (10 100 mg/L), contact time (2 50 h) and temperature (20 40 °C), were calculated in a batch approach.
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