bacteria are usually referred to by the pair of names taxonomy.
bacteria are usually referred to by the pair of names taxonomy.
bacteria are usually referred to by which pair of names?
taxonomy
economic importance of bacteria









































bacteria are economically important as these microorganisms are used by humans for many purposes. the beneficial uses of bacteria include the production of traditional foods such as yoghurt, cheese, and vinegar









































section::::useful bacteria.









































section::::useful bacteria.:food processing.









































sourdough bread is made to rise by fermentation, with a leaven that consists of bacteria, often combined with wild yeast enzymes. the milk-souring bacterial genus "lactobacillus" is used to make yoghurt and cheese. bacteria are used, too, to form organic acids in pickles and vinegar.









































section::::useful bacteria.:biotechnology.
economic importance of bacteria
at the core of the process is a pair of models: one very accurate but too expensive to use directly with a conventional optimization routine, and one significantly less expensive and, accordingly, less accurate. the latter (fast model) is usually referred to as the "coarse" model (coarse space). the former (slow model) is usually referred to as the "fine" model. a validation space ("reality") represents the fine model, for example, a high-fidelity physics model. the optimization space, where conventional optimization is carried out, incorporates the coarse model (or surrogate model), for example, the low-fidelity physics or "knowledge" model. in a space-mapping design optimization phase, there is a prediction or "execution" step, where the results of an optimized "mapped coarse model" (updated surrogate) are assigned to the fine model for validation. after the validation process, if the design specifications are not satisfied, relevant data is transferred to the optimization space ("feedback"), where the mapping-augmented coarse model or surrogate is updated (enhanced, realigned with the fine model) through an iterative optimization process termed "parameter extraction". the mapping formulation itself incorporates "intuition", part of the engineer's so-called "feel" for a problem. in particular, the aggressive space mapping (asm) process displays key characteristics of cognition (an expert's approach to a problem), and is often illustrated in simple cognitive terms.
space mapping