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The next step in our financial feasibility is to convert the hotel s annual net income to an annual cash flow. This is illustrated in Exhibit 13.3. First, to net income has been added back those expenses, previously deducted to arrive at net income, that did not require an outlay of cash in that year. These include depreciation (which is simply a write-down of the book value of the related assets), and the preopening expenses for years 1 and 2 (which were also paid out from the equity investment prior to opening). Finally, the principal portions of the permanent and chattel mortgage payments have been deducted, since these require an outlay of cash that is not shown as a deduction to arrive at net income. The resulting figure for each year is the net cash flow. See Exhibit 13.3. The cash flow is positive each year indicating that, with the proposed financing plan, there will be no problem in meeting both the interest and principal payments on the debt.

tted through the front wall of the chamber. The entire chamber is disinfected using strong bleach before it is brought into service. Water owing from the spring chamber outlet pipe can either be collected in containers brought by individual users (a common arrangement in developing countries), or else the pipe can be connected to a water distribution network, which will carry the water to individual taps elsewhere. It is often worth installing a few chambers to capture the ows of several small springs, which together give a more useful yield than any one spring could provide on its own. In some cases, the same effect has been achieved by driving tunnels into hillsides to intersect the fracture systems that feed a number of discrete springs. In terms of resource assessment, springs offer us only Hobson s Choice (take it or leave it). A spring will only ow within a given discharge range, and there is really nothing we can do to increase the yield of a spring. To assess the resource available from a given spring, therefore, we need to measure its ow rate regularly over a period of at least one year (and preferably many years), and then construct a ow duration curveiii (see Box 5.2). Once a ow duration curve is available, we can use it to estimate percentile ows (as shown in Figure 5.9), with Q95 being a particularly popular choice for resource assessment purposes. Given Q95, we can judge

The adapter is now complete. However, before plugging in the BlueSMiRF and connecting it to the Roomba, perform one last set of continuity and voltage checks. When they check out, plug in the BlueSMiRF and power the circuit with the wall wart power supply in lieu of the Roomba. The LED should still light and the BlueSMiRF shouldn t get warm or smoke or do anything else bad. If you re measuring the current consumption of the entire circuit, it shouldn t be more than 50 mA. If you re measuring the voltage output of the regulator, it should still be at 5V. If it drops, disconnect power immediately. All of this testing and retesting may seem overkill, but it would be a shame to fry a BlueSMiRF. In addition to being cute, they are a little

associated with the broader literature on disease, aging, and cognition Cardiovascular Disease, Aging, and Cognitive Functioning Familiarity with the literature on cardiovascular disease or with risk factors for cardiovascular disease such as hypertension, obesity, diabetes, cigarette smoking, and high cholesterol and cognitive function is a prerequisite for understanding research in the area of cardiovascular disease and behavior (See the review by Waldstein & Elias, 2001) Hypertension, diabetes, smoking, and obesity have been associated with poorer cognitive functioning, although total cholesterol and alcohol consumption have been associated both with better and poorer cognition depending on dose relationships and the speci c cognitive measures employed (see P Elias, Elias, D Agostino, Silbershatz, & Wolf, 1999; Muldoon, Flory, & Ryan, 2001) Because of the signi cant volume of research on cardiovascular disease variables, we focus on studies of older populations and of interactions of disease factors with age (cross-sectional) or aging (longitudinal).

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