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Stress Management, Biofeedback, and Cognitive Interventions Early studies suggested that techniques such as biofeedback and stress management could be used to alleviate the stressinduced components of high blood pressure, thereby reducing blood pressure in hypertensive patients. Several studies have reported that small but signi cant decreases in blood pressure can be achieved in hypertensives after a series of biofeedback or relaxation training sessions (including yoga and meditation) (see Dubbert, 1995; Eisenberg et al., 1993; Johnston et al., 1993). Patel and colleagues (Patel, Marmot, & Terry, 1981; Patel et al., 1985) found a positive effect by assessing the effect of eight weekly group sessions of training in breathing techniques, deep muscle relaxation, mediation, and stress management. Subjects were also told to partake in relaxation, and mediation for 15 to 20 minutes daily, and also to relax during daily stressful events. Subjects who received this relaxation training showed decreases in both systolic and diastolic blood pressure (approximately 7mgHg for both) over a four-year follow-up period, as compared with a control group who did not receive the training. A comparative study of the various behavioral techniques showed none superior to the others, with each independently producing modest declines in blood pressure (Shapiro, Schwartz, Ferguson, Redmond, & Weiss, 1977). Some studies have shown bene ts from meditation and stress management in relation to hypertension. Nakao et al. (1997) assigned patients to either a biofeedback group or a control group that would later undergo the biofeedback treatment. The researchers found that those who had the four sessions of biofeedback had less of a response to mental stressors and had generally lower pressures at rest than those in the control group whose blood

[24] Oppermann R. and Simm H.: Adaptability: User-inititiated individualization . In Oppermann R. (ed.): Adaptive User Support: Ergonomic design of manually and automatically adaptable software. Lawrence Erlbaum and Associates, New Jersey, 1994. [25] Oulasvirta A., Raento M., Tiitta S.: ContextContacts: Re-designing SmartPhone s Contact Book to enhance mobile collaboration and awareness . Proceedings of Mobile HCI 2005, September 19-22, Salzburg, Austria, ACM Press, 2005. [26] Rubin J.: Handbook of Usability Testing: How to plan, design, and conduct effective tests. John Wiley & Sons, New York, USA, 1994. [27] Salovaara A. and Oulasvirta A.: Six Modes of Proactive Resource Management: a user-centric typology for proactive behaviors . Proceedings of the Third Nordic Conference on Human-Computer Interaction, Tampere, Finland, 2004, pp. 57 60. [28] Sarvas R., Oulasvirta A. and Jacucci G.: Building Social Discourse Around Mobile Photos: a systemic perspective . MobileHCI 2005, Salzburg, Austria, 2005. [29] Shamo M.K., Dror R. and Degani A.: A Multi-dimensional Evaluation Methodology for New Cockpit Systems . Proceedings of the 10th International Aviation Psychology Symposium. Columbus, OH, 1999. [30] SlashDot: Online: slashdot.org. [31] SysTest: Developing Methodology for Advanced System Testing . Online: http://www.incose.org/secoe/ 0105.htm. [32] Wagner M., Luther M., Hirschfeld R., Kellerer W. and Tarlano A.: From Personal Mobility to Mobile Personality . Telektronikk, Vol. No. 3/4, 2005, pp. 155 164. Online: www.telenor.com/telektronikk/. [33] Walker J.: Feral Hypertext: When hypertext literature escapes control . Proceeding of the 16th ACM Conference on Hypertext and Hypermedia (HYPERTEXT 05), ACM Press, 2005, pp. 46 53. [34] Weiss A.: The Power of Collective Intelligence . netWorker, Vol. 9, No. 3, 2005, pp. 17 23. [35] Wikipedia: Online: www.wikipedia.org. [36] Xiangzhu G., San M. and Lo B.: Multi-dimensional Evaluation of Information Retrieval Results . Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, September 2004 pp. 192 198.

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The velocity of change technique requires a supporting database and two calls to work. One call increases the count on a data element test while the second call does a lookup to see what the count is. Database: Have your database administrator set up a database resource for you to use. He or she will have to set up the database structure and design to store the data elements, and to maintain counts on the data elements as changes are documented. Call 1: Add records and increment: Have your IT team set up calls from all applications and channels that touch those data elements, so e-commerce, MOTO, and card-present channels will add new entries into the data set or they will increment the counts on the data elements if they already exist. You have to enter a date time stamp with every new record you put into the data set. Call 2: Look up activity: Have your IT team set up calls from all applications and channels that touch these data elements, typically done as part of their fraud-screening procedures, to check the number of changes this order has. This is typically done by use of stored procedure, or in the event you are using only one record per data element and are incrementing the count and date time stamp, you would only have to call the supporting data set and look up the data element. This call is doing the lookup on each independent data element you have determined to do velocity of change checks on.

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Halstead-Reitan Neuropsychological Test Battery Current learning, abstract concept formation Motor speed, psychomotor coordination Attention, concentration, auditory perception Attention, concentration, coordination of language processing Finger tapping skill Psychomotor speed, sequencing, maintain & shift sets Gross motor strength Ability to perceive stimuli to both body sides Tactile finger localization Screening of language skill Intellectual functioning Personality and psychological functioning

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