Composing Frameworks

Do not build models from scratch but instead build them by composing frameworks. 

Implement the composed framework. Each type in the composition will have a spec, which can be implemented as for the basic design. 

Collaborating Components Mirror Framework Specs. After building a specification by composing framework models, you can implement it by plugging together the corresponding fully implemented collaborations (if they are available). 

This scheme could exact a performance penalty compared with purpose-built systems. There is overhead in the wiring of the observers wherever components are plugged together, although more-efficient versions of Observation, such as the JavaBeans event model, may adequately address this. In exchange for performance, you get rapid development and you always have the option of designing an optimized version by working from the composed framework specifications. 

The constant domain has a stable framework structure composed of two antiparallel sheets comprising seven p strands, four in one sheet and three in the other. The variable domains have a similar framework structure but comprising nine p strands, five in one sheet and four in the other. The three hypervariable regions are in loops at one end of the variable domain. The variable domains from the heavy and light chains associate through their five-stranded p sheets to form a barrel with the hypervariable loop regions from both domains close together at the top of the barrel. 

In most industrial applications, it is rare that a single RO module can be used to address the separation task. Instead, a reverse-osmosis network (RON) is employed. A RON is composed of multiple RO modules, pumps and turbines, llie following sections describe the problem of synthesizing a system of RO modules and a systematic procedure for designing an optimal RON. Once a RON is synthesized, it can be incorporated with a mass integration framework (see Problem 11.6). 

A molecule is composed of positively charged nuclei surrounded by electrons. The stability of a molecule is due to a balance among the mutual repulsions of nuclear pairs, attractions of nuclear-electron pairs, and repulsions of electron pairs as modified by the interactions of their spins. Both the nuclei and the electrons are in constant motion relative to the center of mass of the molecule. However, the nuclear masses are much greater than the electronic mass and, as a result, the nuclei move much more slowly than the electrons. Thus, the basic molecular structure is a stable framework of nuclei undergoing rotational and vibrational motions surrounded by a cloud of electrons described by the electronic probability density. 

Fig. 4.2 Periodic mesoporous organosilicates (PMO) (A) various framework structures (B) crystalline pore wall composed of phenyl rings and silica. Adapted from [52], A. Vinu et al.,...

As seen in the comparison of mesoporous silica and PMO in protein adsorption behavior, the nature of the framework of mesoporous materials has unavoidable influence on the protein adsorption. Therefore, adsorption of protein on mesoporous structures composed of hydrophobic materials such as carbon is worthy of detailed investigation. In this section, systematic research on protein adsorption on mesoporous carbon materials by Vinu and coworkers is mainly introduced. 

Usually, the zeolite inner surface characteristics are rather complex as a consequence of the (3D) character of the porous topologies of most of the zeolite types. The porous framework is a (3D) organization of cavities connected by channels. Inner surfaces are composed of several sorption sites characterized by their local geometry and curvature. Illustrative examples of such inner surface complexity are represented on Figures 1 and 2 they concern the Faujasite and Silicalite-I inner surfaces respectively. 

From a thermodynamic point of view, the heteropolymer globule in hand represents a subsystem which is composed of a macromolecule involving lu l2 units Mi, M2 and molecules of monomers Mi, M2 whose numbers are Mi,M2. Among these variables and volume fractions a in the framework of the simplest Flory-Huggins lattice model there are obvious stoichiometric relationships... 

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