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CONTRIBUTORS TO OBESITY Given the prevalence and seriousness of obesity, it is essential that we understand its etiology Understanding the factors that contribute to the development of obesity may lead to effective interventions for its control and prevention In this section, we address genetic and environmental contributors to overweight and obesity Genetic Contributors In the past decade, there has been great enthusiasm about the prospects of identifying the biological causes of obesity A body of research showing that obesity tends to run in families spurred the search for the genetic basis of obesity For example, familial studies consistently have shown that BMI is highly correlated among rst-degree relatives (Bouchard, Perusse, Leblanc, Tremblay, & Theriault, 1988), and investigations of identical twins reared apart have suggested that the genetic contribution to BMI may be as high as 70% (Stunkard, Harris, Pedersen, & McClearn, 1990).

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RDLC reports, created by the Visual Studio ReportViewer control based on Report Definition Language Client Side, are local reports and completely run in local ...

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The information is then sent to the data center via a reference station In order to accurately research this environment, the system must autonomously record glaciers over a reasonable geographic area and a relatively long lifetime Due to the harsh environmental conditions of glaciers, robustness, fault tolerance and network reliability are the other main needs of the project It is infrastructure-based, therefore, all nodes are only one hop away from the base station Scalability is also a signi cant issue together with power consumption and production cost It also must be as non-invasive as possible to let the sensor nodes, or probes, mimic the movement of stones and sediment under the ice [46] The GlacsWeb was installed in the summer of 2004 at Briksdalsbreen, Norway The Sensor Network Server (SNS) is based in Southampton.

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Such ndings have led researchers to suspect that a single major, but as yet unidenti ed, recessive gene accounts for a signi cant proportion of the variance in body mass (Bouchard, Perusse, Rice, & Rao, 1998) In addition, researchers also believe that body-fat distribution, resting metabolic rate, and weight gain in response to overconsumption are each controlled by genetic factors that may interact to predispose certain individuals to obesity (Chagnon et al, 2000; Feitosa et al, 2000; Levin, 2000) Among the rst genetic defects linked to obesity was the discovery of the ob gene and its protein product leptin (Zhang et al, 1994) Leptin, a hormone produced by fat cells, in uences hypothalamic regulation of energy intake and expenditure Laboratory mice that fail to produce leptin due to a genetic defect become obese as the result of excess energy intake and physical inactivity (Zhang et al.

, 1994) Moreover, the administration of recombinant leptin in such animals decreases food intake, increases physical activity, and reduces.

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to converge or extremely large estimates of standard error for one or more parameters. The solution is to identify and eliminate one or more redundant variables from the analysis. Independence of Errors In most circumstances, these analyses are used only for between-subjects designs in which the frequency of cases in each cell is independent of the frequencies in all other cells. If the same case contributes a hash mark to more than one cell, those cells are not independent. Verify that the total N for the analysis is equal to the number of cases before proceeding. McNemar s test provides chi-square analysis for some types of repeated measures when each case is in a particular combination of yes-no cells. For example, in a 2 2 design, a person attends karate classes but does not take piano lessons (yes on karate, no on piano), does neither (no on both), does both (yes on both), or takes piano lessons but not karate (no on karate, yes on piano). Independence of errors is preserved because each case is in only one of four cells, despite having scores on both karate and piano.

The low-powered probes are placed near the bottom of the glaciers and move with the ice, recording temperature, pressure, speed and the makeup of the glacier s sediment They send back their data to the surface by radio, and these are picked up on a surface base station, which also records temperature and velocity It has a webcam and snow meter, and it is able to track the position of these probes put in the glacier The base station then sends the information by radio to the monitoring team s campsite (reference station) That data is then fed into a computer and put online to make it instantly available to glaciologists around the world PinPtr (early 2000s): this is developed by the Electrical Engineering and Computer Science Department at Vanderbilt University.

B 8.5 IMPACT OF GEOMETRICAL DISTRIBUTION OF SATELLITES AND RECEIVER (NOTION OF DOP)

If the Markov chain has an initial state drawn according to the stationary distribution, the resulting process will be stationary. The entropy of the

2hist E ( / X = 1) d hist E ( / X = 1) + hist E ( / X = +1)

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