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Embalming is the practice of delaying decomposition of human and animal remains. Embalming slows decomposition somewhat, but does not forestall it indefinitely. Embalmers typically pay great attention to parts of the body seen by mourners, such as the face and hands. The chemicals used in embalming repel most insects, and slow down bacterial putrefaction by either killing existing bacteria in or on the body themselves or by “fixing” cellular proteins, which means that they cannot act as a nutrient source for subsequent bacterial infections. In sufficiently dry environments, an embalmed body may end up mummified and it is not uncommon for bodies to remain preserved to a viewable extent after decades. Notable viewable embalmed bodies include those of: Eva Perón of Argentina, whose body was injected with paraffin was kept perfectly preserved for many years, and still is as far as is known (her body is no longer on public display). Lenin, whose body was kept submerged in a special tank of fluid for decades and is on public display in Lenin’s Mausoleum. Other communist leaders such as Mao Zedong, Kim Il-sung, Ho Chi Minh and most recently Kim Jong-il have also had their cadavers preserved in the fashion of Lenin’s preservation and are now displayed in their respective mausoleums. Pope John XXIII, whose preserved body can be viewed in St. Peter’s Basilica. Padre Pio, whose body was injected with formalin prior to burial in a dry vault[citation needed] from which he was later removed and placed on public display at the San Giovanni Rotondo.

Decomposition topics Decomposition paradigm A decomposition paradigm in computer programming is a strategy for organizing a program as a number of parts, and it usually implies a specific way to organize a program text. Usually the aim of using a decomposition paradigm is to optimize some metric related to program complexity, for example the modularity of the program or its maintainability. Most decomposition paradigms suggest breaking down a program into parts so as to minimize the static dependencies among those parts, and to maximize the cohesiveness of each part. Some popular decomposition paradigms are the procedural, modules, abstract data type and object oriented ones. The concept of decomposition paradigm is entirely independent and different from that of model of computation, but the two are often confused, most often in the cases of the functional model of computation being confused with procedural decomposition, and of the actor model of computation being confused with object oriented decomposition. Decomposition diagram Decomposition Structure Negative Node-Numbered Context Static, Dynamic, and Requirements Models for Systems Partition Functions and Use Scenarios Mapping to Requirements and Goals A decomposition diagram shows a high-level function, process, organization, data subject area, or other type of object broken down into lower level, more detailed components. For example, decomposition diagrams may represent organizational structure or functional decomposition into processes. Decomposition diagrams provide a logical hierarchical decomposition of a system.

The premise of event partitioning is that systems exist to respond to external events: identify what happens in the business environment that requires planned responses, then define and build systems to respond according to the rules of the business. In particular, a business system exists to service the requests of customers. A custome in the jargon of the UML, is an ‘actor.’

The goal of event partitioning is to be an easy-to-apply systems analysis technique that helps the analyst organ ise requirements for large systems into a collection of smaller, simpler, minimally-connected, easier-to-understand ‘mini systems’ / use cases. The approach is explained by Stephen M. McMenamin and John F. Palmer in Essential Systems Analysis.[1] A brief version of the approach is described in the article on Data Flow Diagrams. A more complete discussion is in Edward Yourdon’s Just Enough Structured Analysis.[2] The description focuses on using the technique to create data flow diagrams, but it can be used to identify use cases a well.

1 Actor ˜ Event ˜ Detect ˜ Respond 2 Identifying Requirements and Their Reasons 3 Defining requirements 4 Complexity versus fragmentation 5 See also 6 References

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Event partitioning

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If the response is lengthy or complex (i.e., more than a page of text), an analyst may decompose (‘factor out’ or deduplicate) into smaller...

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