Far and away the most popular route to single-enantiomer drugs is "resolution"—a set of separation techniques that are labour-intensive, wasteful (the undesired product must be discarded or recycled) and inefficient.
A key feature of identifying this fundamental energetic process is the resulting ability to transparently and rigorously introduce new free energies – many appearing in the finite-deformation TEMM literature for the first time – that employ any set of intensive or extensive quantities as independent variables.
In a set of labor-intensive collages, Rutherford Chang scrambles words and images from The New York Times, turning the contents into abstraction.
According to Northrop (2002), an SPL is "a set of software-intensive systems that shares a common managed feature set, satisfying a particular market segment's specific needs or mission and that is developed from a common set of core assets in a prescribed way".
Northrop [15] defines that "A software product line is a set of software-intensive systems that share a common, managed feature set satisfying a particular market segment's specific needs or mission and that are developed from a common set of core assets in a prescribed way".
This paper gives a detailed description of the needs analysis (NA) stage in the development of a set of English language intensive courses at a large Japanese industrial firm.
A set of extensive and intensive simulated experiments shows that with its smart advanced components incorporating soft computing machine-learning techniques and a rich ontology knowledge base with fuzzy logic analysis, it detects and prevents intrusions more efficiently.
For example, some helicopters are flying ambulances, especially equipped with a complete set of intensive-care accessories.
This new environment can be considered as a framework on top of a set of computing and data-intensive infrastructures that will provide researchers with tools, protocols, data and expertise to improve medical imaging research and patient health care.
However, the reconstruction of a set of trees is significantly more CPU-intensive than computation of either distance matrix or binary encoding.
