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Even back in the early days of JDK 1.0 there was a huge interest in having Java talk to a database. Various discussions ran around the Internet newsgroups about the best way of bringing this about: Should we use Java's Socket classes and write all the low level interfaces ourselves Should we try to build a Java wrapper around existing proprietary native interfaces Was there some other way Heated discussions raged across newsgroups and mailing lists. Native code wrappers were ruled out because this was before the existence of the standardized Java Native Interface (JNI). Socket programming was OK, but Java 1.0 sockets were fairly limited compared to their current incarnation. Many people wanted to make use of the highly optimized native interfaces, provided by the database vendors, that used proprietary, closed protocols. In general, the situation was not a happy one for the end user programmer. On the other side of the fence, the database companies realized that there was some demand for this abstracted view of a database, and, corralled into a working group by Sun, set about building a standardized interface between Java and databases that we now know as JDBC. Intended to maximize the strength of the existing SQL capabilities, the new specification provided a way to connect to a database, issue standard SQL queries, and present the results in a Java centric way. We should also mention that this working group was very heavily influenced by the Open DataBase Connectivity (ODBC) standard for abstracting database interfaces. In fact, the first version of JDBC almost looked like a direct copy of the then current ODBC standard. JDBC has since diverged from ODBC, but its core concepts remain almost identical, and the two standards remain interoperable thanks to JDBC ODBC bridges.

Therefore, an important focus of such research should be to examine whether the orienting response can be measured in ways that are beyond the control of the examinees and therefore not sensitive to countermeasures Second, the equipment used in brain.

There is no known exception to this AntiPattern. The severity of the consequences, however, will be mild on small-scale applications. The cost of the refactoring should be considered for truly small applications. If you know the short- and long-term scalability requirements and they are met with the current implementation, then there is no need to refactor. If you are doing any new development, make sure not to get trapped in this AntiPattern.

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Bond I: Transaction: Start Date: Bond Type: Bond Coupon: Bond Maturity: Notional Value: Bond Price Funding Rate: Forward Date: Forward Price: Forward Yield: Basis Point Value: Swap I: Start Date: Asset Swap Type: Pay Fixed Rate: Swap Maturity: Fixed Notional: Received Float Rate: Floating Notional: Forward Swap Yield: 7/27/98 Par-Par 5.15% 7/30/09 1,000,000,000 pts *3 month LIBOR 1,000,000,000 pts 5.1380% Purchase 7/27/98 Spanish Govt. 5.15% 7/30/09 1,000,000,000 pts 96.50 4.3500% 11/30/98 97.98 4.9940% 0.089

distinguish truths from lies is comparable to that of laypersons Three reasons come to mind as to why many professionals are not better than laypersons First, perhaps many professionals are not practised enough in detecting truths and lies via observing someone s nonverbal and verbal behaviour, and perhaps, like laypersons, they mostly detect truths and lies by comparing statements with available evidence This may explain why secret agents, who are experienced in scanning crowds, seem to be better lie detectors than laypersons and other groups of professionals when observing someone s demeanour Second, perhaps professionals lack proper feedback in the decisions they make (DePaulo & Pfeifer, 1986) As already discussed in 5, for feedback to be adequate, it needs to be frequent, reliable, and immediate In other words, observers should be informed immediately after every interaction with a person whether that person was lying or not.

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Adequate feedback is dif cult to achieve for most groups of professionals Take for example police of cers who interview suspects and witnesses Whether these suspects and witnesses told the truth or lied may never come out, or may only be revealed long after the interview took place In that respect, other professionals, such as customs of cers, could receive more adequate feedback if they wished, by stopping people randomly and deciding, before searching, whether each of these persons is trying to smuggle Their subsequent search should then con rm whether or not their intuitions were correct Third, perhaps professional lie catchers lack training or receive inadequate training in lie detection I do not know what kind of training professional lie catchers receive in lie detection around the world, and indeed they may not receive any training at all.

is unclear how many child witness statements about sexual abuse are (partially) inaccurate. American estimates range from 6% to 60% (Craig, 1995). The reported cases of invalid accounts of sexual abuse include pressure from adults and/or peers to give a false statement, misidenti cation of the alleged perpetrator, and outright fabrications.

(high volatility) occurs when many of the individual time intervals within the history deviate dramatically from the average past return for the period My objective is not to provide a comprehensive exposition of all the shortcomings of the Sharpe ratio, but rather to outline some of the most dangerous flaws in utilizing this ratio to the exclusion of other measures of system performance21 The basic premise of the Sharpe ratio is that the wider dispersal of individual returns from the average past return, the riskier the investment Although it is true that a wider dispersal of individual returns from the average past return does suggest higher volatility, because the Sharpe ratio makes no distinction between profits and losses in the composition of its measure of volatility, high volatility of returns does not necessarily equate to a riskier investment.

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