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j u u z m Fc u u jz jm Fc m k m k c The value K, given by Eq. (5.40), is the molar conductivity of an electrolyte: K j=c u u z m F u u jz jm F m k m k 5:40
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as well as his verification of the validity of the hypothesis based upon specific methods and skills. If the hypothesis is proven false, the therapist must form a second hypothesis based upon the information gathered during the testing of the first. (Selvini-Palazzoli, Boscolo, Cecchin, & Prata, 1980, p. 4)
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is the owner and not an imposter. The best way to verif y that the person you are meeting with is, in fact, the property owner is to do what I do when I meet with an owner for the first time: Show your driver s license, and ask the owner to do likewise. As I show the owner my Florida driver s license, I matter-of-factly explain that I am doing this because of the rampant spread of identity theft. And if for whatever reason, the owner refuses to identif y who he or she is by showing me some form of government-issued photo identification, I politely excuse myself and get up and leave. So far, I have met with only one property owner who refused to show me a photo identification.
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Fig. 8.15 The relation between mCT of the spectra of charge-transfer complexes and the half-wave potentials of electron acceptors [53]. Electron acceptor: derivatives of phthalic anhydride, quinone and nitrobenzene, and tetracyanobenzene and tetracyanoethylene.
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The average organization loses more than $9 per day per employee to fraud and abuse. The average organization loses about 6 percent of its total annual revenue to fraud and abuse committed by its own employees. The median loss caused by males is about $185,000; by females about $48,000. The typical perpetrator is a college-educated, white male. Men commit nearly 75 percent of the offenses. Losses caused by managers are four times those caused by employees. Median losses caused by executives are 16 times those of their employees. The most costly abuses occur in organizations with less than 100 employees. In 2002 the ACFE issued its most recent Report to the Nation. This document is based on the findings of 663 Certified Fraud Examiners (CFEs) who investigated fraud cases totaling more than $7 billion in losses. Again, as in 1996, the CFEs estimated their organizations will lose about 6 percent of revenues to fraud, now about $4,500 per employee. Applied to the U.S. gross domestic product, these loss ratios mean it is now possible that occupational fraud in the United States is a $600 billion annual problem. Of the losses investigated, more than half were in excess of $100,000 and nearly one in six caused a loss in excess of $1 million. Other findings of the report include data that indicates:5 Over 80 percent of the occupational frauds involve asset misappropriation. Cash was the target in 90 percent of the incidents. Corruption schemes accounted for 13 percent of all occupational frauds and on average they caused more than $500,000 in losses. Fraudulent statements were the most costly form of fraud, with median losses of $4.25 million per scheme. The average fraud existed for 18 months before it was detected. The most common method of exposure was a tip from an employee, customer, vendor, or anonymous source. Accidental discovery was the second most common means by which frauds were detected. Organizations with fraud hotlines cut their fraud losses by approximately 50 percent per scheme. Internal audits, external audits, and preemployment background checks also significantly reduce fraud losses. The typical perpetrator is a first-time offender, at least insofar as having a criminal record. Only 7 percent of perpetrators had a prior conviction for a fraud offense.
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18.3 The Elaboration of the GSM Phase 1 O&M Speci cations
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Figure 15-1 shows the methods invoked by the client and the container that causes the entity bean to transition from one state to another.
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recessions are called depressions. (Yes, technical definitions apply to the two words see the What makes a recession a recession sidebar, later in this chapter.) But what happened in the 1930s was so bad that people started calling it the Great Depression to indicate just how severe it was. The Great Depression started with a lingering recession from 1929 to 1933. This recession is most usually described as beginning with the infamous stock market crash of 1929 (the Wall Street Crash). The United States, for example, didn t see its output return to its 1929 level until after entering the Second World War in 1941, and the results for the UK were hardly better, although the recession of 1921 was actually the more severe. To put the Great Depression in perspective, look at Table 6-1, which gives data for each of the seven recessions that the United States has experienced since 1960, plus (on the first line) the same data for the Great Depression. We use US data because its consistency over time makes seeing a clear picture a little easier: you can also plot a similar picture for the UK or many other countries.
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What do we do now
An illustration of the extent to which values permeate health work interventions: the health visitor, the doting daughter and the Sporting Life
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