Target Possibilities

When we consider possible targets in the context of system design we may group them into three broad classes, all of which may be considered as unexploded ordnance, UXO. Classes 1 and 2, and sometimes all three, are termed explosive remnants of war, ERW by the United Nations, UN. 

TABLE 1.2 Possibility Space for System Indication of Detected Explosive 

Class 2 includes those munitions that have become lost or discarded during military operations or transport. Major quantities of ordnance are lost when ships are sunk or blow up. When munition storage areas are attacked, some munitions are ejected to substantial distances. These munitions may be fully assembled and functional, as when an aircraft ejects them. Others may be incomplete, likely unfuzed. 

Class 3 includes those ordnance items that are intentionally buried, dumped at sea, or otherwise disposed of either in an intact or in a partially assembled condition. It also includes military or civilian storage and military practice ranges. 

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The deoxy-northern half C7-C15 is barely functionalized apart from the marginal connection points, i.e. the central C8 to C14 area contains only a double bond with imperative cis configuration and one stereocenter at C8 (instead of three in the final target). Possible disconnections are much less predetermined than in the C1-C7 aldol-region . Therefore all six C-C-bonds within the seven-carbon chain from C8 to CI4 were used as strategic bonds. 

Functions as a barrier (recognition of foreign materials, avoidance of antigen-based problems) Control of targeting (possibility of drug targeting)... 

In this paper, a new RD model is proposed to apply on time-oriented responses in pharmaceutical industiy. This RD model provides a useful tool to deal with time-oriented data that frequently happen in practice. For illustration, a experimental study from pharmaceutical industry is performed to show how to apply the improved methodology on the real situation. By using new RD model, an optimal control setting can be obtained so that the optimal responses are as close as the targets possible while the variances are reduced. 

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