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Across all shooting conditions, theta power exhibited an early stimulus-related peak that occurred shortly after the onsets of targets ( 1,060 ms) and a later response-related peak that occurred approximately coincident with the time of the trigger response ( 3,050 ms) Kerick et al (2006) suggested that the functional significance of the early theta peak is to encode target stimuli in working memory (ie, detecting and identifying targets) and to retrieve matching stimulus-response associations from long-term memory, whereas the functional significance of the late theta peak is sensorimotor integration (ie, coordinating the timing of the trigger response with target alignment) Further, the early peak varied by decision and task load demands in the expected direction (ie, higher peak amplitude for choicedecision load scenarios and longer latency for dual-task demand scenarios).

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A significant positive relation was also observed between the latency of the late theta peak and shooting accuracy The findings of increased theta power with increased task demands during shooting are consistent with research revealing increased theta power in response to working memory demands for encoding information (Burgess & Gruzelier, 1997; Klimesch, 1996, 1999; Klimesch, Doppelmayr, Russegger, & Pachinger, 1996) and processing multitask demands (Dussault, Jouanin, & Guezennec, 2004; Hankins & Wilson, 1998) Relative to that observed in the theta band, power in the alpha band exhibited a less distinct early stimulus-related peak but a similar late response-related peak that coincided with the trigger response ( 3,055 ms) Of particular importance, the response-related alpha power increase observed during reactive shooting is consistent with that observed during self-paced shooting.

(c) pleitropy is involved (ie, the same genetic risk factors may lead to different addictions such as alcoholism in addition to tobacco dependence in different people); (d) epistasis refers to the situation in which a genetic risk factor modi es the expression of another genetic risk factor to produce tobacco dependence; and, (e) the interaction of the environment with a gene can produce an increased likelihood of becoming dependent on tobacco It is important to use lessons from other areas of biomedical research on complex genetic traits to inform the tobacco dependence community about problems and pitfalls that should be avoided over the next decade of research Initially, obesity was thought to be a simple characteristic to measure, but now it is known to be quite complex with many different endophenotypes.

10.6 10.6.1

In summary, the findings suggest that the different oscillatory patterns in theta and alpha frequency bands were sensitive to different mental processes and task load.

At least four genetic linkage or association designs have been used in obesity research over the past decade resulting in the identi cation of more than 17 candidate markers Linkage has been reported for more than 20 genes or markers Currently there are at least six independent genome scanning efforts being conducted around the world Unfortunately, there has been no overall coordination of these efforts Because obesity has been linked to many markers with small effect sizes (a plausible situation for tobacco dependence), researchers have recently recognized the need to pool their data across studies to have suf ciently powerful tests However, because barriers to collaboration exist (eg, dissimilar measures) and the research environment is highly competitive, the pooling of the data may take longer than it should Meanwhile, in spite of the progress on the genetic front, the obesity rates in the US.

The signi cant impact of the two world wars and the military on the development of I-O psychology has been documented (e.g., Britt & Morgan, 1946; Ferguson, 1962 1965; von Mayrhauser, 1989). The impact of other wars (e.g., Korea, Vietnam, the Gulf War) and military efforts on I-O psychology needs investigation. Technological Forces Technological forces include new processes and hardware revolutions with regard to computers, transportation,

population continue to rise (Comuzzie & Allison, 1998) Similarly, the tobacco-related death toll continues to rise The public health challenge of tobacco dependence makes it fundamentally different from obesity Three thousand new smokers per day and over 430,000 premature deaths annually provide an urgency to conduct a coordinated, large multidisciplinary effort to identify both main and interactive effects for genetic and environmental risk factors as quickly as possible so that effective and more powerful preventive efforts can begin to offset the highly addictive nature of nicotine Ethical Considerations As described previously, genetic in uences consistently account, at least partially, for twin and family similarity in smoking Recent ndings point to speci c molecular genetic markers that suggest increased susceptibility for smoking The implications of such research and its use in clinical practice, in health promotion and disease prevention, and for health policy decision making are highly signi cant and.

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Figure 1.2 Aerosol volume distribution for traf c-dominated aerosol. Abbreviations: DGV, volume median diameter; g , geometric standard deviation. (Reproduced from [16] with permission. Copyright Elsevier 2002.)