Energy and emotion distribution of human speech (From BSTJ, July 1931).
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Advantages and Limitations of Functional Imaging Techniques O-PET HMPAO SPECT Low Widespread Maximum 6 7 mm 3 4 min Maximum 3 4 Moderate Relative counts None Low Low Limited BOLD fMRI Moderate Potentially widespread Maximum < 1 mm Seconds Unlimited Low Degree to which CBF is entrained by task High High High Limited
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9.1 Threats to groundwater systems 9.1.1 Types of threats to groundwater systems Out of sight, out of mind : it s an old proverb, but it unhappily has a great ring of modernity about it where human stewardship of groundwater resources is concerned. All over the world, our
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Table 24.3. Possible approaches for functional
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high point of the recipients day is con rmed by Cialdini s observation that the ower more often than not winds up in a nearby waste container shortly after the ower-for-money transaction has been completed. Reciprocity can have the subsidiary effect of increasing the recipient s liking for the gift- or favor-giver, but the norm can be exploited successfully without implicit application of the af nity principle (e.g., Regan, 1971). Affect does enter the picture, however, when people fail to uphold the norm. Nonreciprocation runs the risk of damaging an exchange relationship (Cotterell, Eisenberger, & Speicher, 1992; Meleshko & Alden, 1993) and may promote reputational damage for the offender (e.g., moocher, ingrate) that can haunt him or her in future transactions. Somewhat more surprising is evidence that negative feelings can be engendered when the reciprocity norm is violated in the reverse direction. One might think that someone who provides a gift but does not allow the recipient to repay would be viewed as generous, unsel sh, or altruistic (although perhaps somewhat misguided or naive). But under some circumstances, such a person is disliked for his or her violation of exchange etiquette (Gergen, Ellsworth, Maslach, & Seipel, 1975). This tendency appears to be universal, having been demonstrated in U.S., Swedish, and Japanese samples. Cooperation is an interesting manifestation of the reciprocity norm. Just as the act of providing a gift or a favor prompts repayment, cooperative behavior tends to elicit cooperation in return (Braver, 1975; Cialdini, Green, & Rusch, 1992; Rosenbaum, 1980) and can promote compliance with subsequent requests as well (Bettencourt, Brewer, Croak, & Miller, 1992). This notion is not lost on the car salesperson who declares that he or she and the customer are on the same side during price negotiations, and then appears to take up the customer s ght against their common enemy, the sales manager. Even if this newly formed alliance comes up short and the demonized sales manager purportedly holds fast on the car s price, the customer may feel suf ciently obligated to repay the salesperson s cooperative overture with a purchase. A related form of reciprocity is the tactical use of concessions to extract compliance from those who might otherwise be resistant to in uence. The strategy is to make a request that is certain to meet with a resounding no, if not a rhetorical are you kidding The request might call for a large investment of time and energy, or perhaps for a substantial amount of money. After this request is turned down, the in uence agent follows up with a more reasonable request. In effect, the in uence agent is making a concession and, in line with the reciprocity norm, the target now feels obligated to make a concession of his or her own. A study by Cialdini et al. (1975) illustrates the effectiveness of what has come to be known as
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Revised Resistance Design (RRD). RRD covers subscriber loops as long as 24 kft. Loop length is broken down into two ranges from 0 ft to 18,000 ft, where the maximum loop resistance is 1300 Q , and from 18,000 ft to 24,000 ft, where the maximum loop resistance is 1500 Q . H88 loading is used on loops longer than 18,000 ft. Two gauge combinations may be employed selected from the following three wire gauges: 22, 24, and 26 gauge.
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I would like to thank Cathy Ralston of the University of Guelph, in particular, who read every word of the eighth edition manuscript and checked the exercises and problems as well as their solutions in the Instructor s Manual to help ensure their accuracy. Additionally, a number of professors and instructors have given suggestions and advice, which aided in the development of the eighth and previous editions. I thank them for taking the time and effort to share their thoughts with me: Earl R. Arrowood, Bucks County Community College Herbert F. Brown III, University of South Carolina Ronald F. Cox, New Mexico State University Karen Greathouse, Western Illinois University Robert A. McMullin, East Stroudsburg University John W. Mitchell, Sault College Susan Reeves, University of South Carolina John Rousselle, Purdue University Paul Teehan, Trident Technical College Thanks to the copyeditor and proofreader of this edition for their assistance. Finally, the editors at John Wiley & Sons, especially JoAnna Turtletaub, Julie Kerr, and Liz Roles, have been especially helpful in bringing the eighth edition to publication. Martin G. Jagels
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function makeDays() { var i; for( i = 0; i < monthArray[month]; i++ ) { _root.Days.attachMovie( "DayDisplay", i, i + 2000 ); _root.Days[i].num = i + 1; _root.Days[i]._x = column * _root.Days[i]._width; _root.Days[i]._y = row * _root.Days[i]._height; column = column + 1; if (column == 7 ) { column = 0; row = row + 1; } } }
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TABLE 12.2 Charging Information Items Item User ID Explanation This item is needed to identify the user or recipient of the content or service, and derive from that the account that should be charged. Typically MSISDN or IMSI are used within a mobile network; although these may not necessarily be used by a content server, and might have to be mapped from e.g., an authenticated user name or pseudonym. This item can be used where the price (currency code and value) is dictated by the content or delivery server. This item is needed generally to provide audit information, but is speci cally needed where the content or service is not prepriced, and needs to be rated to derive the charge to the user This item can be used in addition to the Service ID, for instance to indicate what price band an item (e.g., SMS ringtone, mp3) should be charged at. This item can be used e.g. to describe the target of the content Can be used to indicate the time of the service or delivery event (start time and/or end time; duration) Can identify the content provider for revenue sharing purposes also can indicate whether the content is provided internally or externally to the operator s partner network. Indicates the quality of service with which the content or service was delivered can be used as a weighting factor in deriving the charge to the user Indicates the bearer (e.g., WLAN, GPRS) over which the content or service was delivered can be used as a tariff attribute in deriving the charge to the user Can be used to indicate the correlation method and keys to be used (e.g., IP ow classi er) Indicates the location of the user can be used to derive roaming status; also as a tariff attribute in deriving the charge to the user This item can be used to indicate the type of content (e.g., .JPEG, MPEG, WAV sent in an MMS message) Can be used to indicate whether the content was successfully delivered This is a collection of informational items that can be used to indicate the value that should be charged or metered in the charging element (e.g., time-seconds; downlink volumekilobytes; currency-ISO currency code-US dollars). More than one type of value should be supportable in a charging request, within different contexts. (Continued )
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FIGURE 7-3: Python s Libgmail binding
Nevertheless, by observation of past trends, a future trend can usually be built into the forecast figures. However, some variables are unpredictable (e.g., events that occur for no particular or observable reason, or sudden and drastic decreases in demand caused by severe and unusual weather conditions), and such random variables are difficult or even impossible to include in forecasts. Moving averages attempt to remove the random variations that can occur from period to period in the operation of the typical hospitality business. Note that the larger the number of periods used, the less likely it is that any random causes will affect the moving average. To take care of those random variations for a monthly forecast, we can calculate a 12-month moving average. The 12 monthly figures for the past year are added together and then divided by 12. For example, suppose for the past year a restaurant s monthly guest counts were as follows: Month 1 2 3 4 5 6 7 8 9 10 11 12 Total Rounded, the moving average is 30,003 12 2,500 Guest Count 2,406 2,502 1,986 1,829 2,312 2,587 2,804 3,009 3,102 2,748 2,406 2,312 30,003
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