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and rarely comprises a significant obstacle to patentability. If the invention works, it has utility. A new chemical compound may not be patentable in and of itself, unless there is a useful application for it. The requirement of novelty is satisfied if no single prior art reference discloses all of the features of the invention (i.e., the same invention was not made earlier by someone else). The most challenging, and conceptually most complex, requirement for patentability is nonobviousness. To satisfy this last requirement, the invention must not be merely a combination of elements of prior works, such as would be apparent to a person of ordinary skill in the art who was seeking to solve the problem to which the invention is directed. Formerly, a United States utility patent had a term of 17 years, commencing on the patent s issue date. Under the current law, however, utility patents have a term of 20 years, commencing on the date of filing of the application on which it is based. The new law applies to patents issuing on applications filed on or after June 8, 1995. Patents issued on earlier filed applications now have a term of either 17 years from the date of issue or 20 years from the date of filing, whichever is longer. Although, in theory, the term of a patent may be extended if its prosecution is unduly delayed by the Patent Office, as a practical matter, a patent term is nonextendable. The primary exception is for those

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In 10, we discussed data modeling in general and the CLP taxonomy for data models (DMs) and modeling languages (MLs). This chapter will focus on four logical modeling languages (LMLs) commonly seen in real database environments (DBEs). In particular, we will look at the relational data model (RDM), the network data model (NDM), the hierarchical data model (HDM), and the object-oriented data model (OODM). For each language, we will brie y review the ML itself, look at its nomenclature and notation, discuss the general rules for forward and reverse engineering, and then examine some of the special cases to consider when forward engineering (FE) and reverse engineering (RE) data models written in these LMLs. The physical details controlling how a DBE manages the data store behind any database are very dependent on the deployment details for that database. Even if we use the same conceptual data model (CDM) and logical data model (LDM) details as a starting point, the physical data model (PDM) details for two separate deployments can vary greatly across different DBEs due to different DBMS vendors, different operating system (OS) platforms, or even just different versions of the same OS and DBE. This is not surprising because many of the physical details are implementation or deployment dependent details, and the implementation can be very different even when only one of these areas changes (e.g., even when we look at different versions of a DBMS from the same vendor, on the same OS platform, and implementing the same data model). The logical details do not vary quite as much because they are based on design details in other words these details are related to the public interface that the DBE supports.

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Adams, D. (2000). Toward a global movement for a culture of peace. Peace & Con ict, 6(3), 259 266. Adams, D., & True, M. (1997). UNESCO s culture of peace program: An introduction. International Peace Research Newsletter, 35, 15 18. Amnesty International. (2000). Torture worldwide: An affront to human dignity. New York: Amnesty International. Anderson, C. A., & Anderson, K. B. (1998). Temperature and aggression: Paradox, controversy, and a (fairly) clear picture. In R. G. Geen & E. Donnerstein (Eds.), Human aggression: Theories, research, and implicators for social policy (pp. 248 298). San Diego, CA: Academic Press. Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A metaanalytic review of the scienti c literature. Psychological Science, 12, 353 359. An-Na im, A. A. (1992). Toward a cross-cultural approach at de ning an international standard of human rights: The meaning of cruel, inhuman, or degrading treatment or punishment. Human rights in cross cultural perspectives: A quest for consensus. Philadelphia: University of Pennsylvania Press. Appleby, R. S. (2000). The ambivalence of the sacred: Religion, violence, and reconciliation. Lanham, MD: Rowman & Little eld. Archer, D., & McDaniel, P. (1995). Violence and gender: Differences and similarities across societies. In R. B. Ruback & N. A.

First, create a new weblog that will hold the poll data. Don t worry, you will only need one, even if you create thousands of polls. Each entry in this blog will be a separate poll. For each entry, the entry body text is the description or question being posed. The extended entry text will hold the poll options. Each poll option should be on a separate line. Figure 17-1 shows an example poll entry.

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