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To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.im.2005.07.002 Byline: Terry Anthony Byrd (a), Bruce R. Lewis (b), Robert W. Bryan (c) Keywords: Strategic alignment; IT payoff; IS strategy; IT investment Abstract: Businesses have invested enormous sums in information technology (IT). The challenge now is to optimize these investments. We empirically examined the influence of the alignment between IS strategy and business strategy (strategic alignment) on the payoff of IT investment. Many studies have been performed on the value of IT investment and strategic alignment separately, in the past, but here we combined them by investigating the moderating affect of strategic alignment on the relationship between IT investment and firm performance for a group of manufacturing firms. The results indicated that there is a synergistic coupling between strategic alignment and IT investment with firm performance. Firms that have aligned IT and business strategies can invest in additional IT resources with some assurance that they will be leveraged substantially. One of our main contributions was in the examination of four differing perspectives of strategic alignment and their relationship with the payoff of IT investment. Author Affiliation: (a) College of Business, Department of Management, Auburn University, AL 36849, USA (b) Wayne Calloway School of Business and Accountancy, Wake Forest University, Winston-Salem, NC 27109-7285, USA (c) Department of Information and Computer Sciences, Covenant College, 14049 Scenic Highway, Lookout Mountain, GA 30750, USA Article History: Received 17 September 2003; Revised 12 December 2004; Accepted 21 July 2005

Just as gold mining is a process for sifting through loads of ore to find valuable nuggets, data mining is a process for sifting through massive amounts of data to find information useful for optimizing business decision making and operations. Although interest in data mining is growing, many IT professionals and business managers may not have more than a passing exposure to the term. The purpose of this paper is to provide an introductory tutorial on the topic of data mining. Included are a brief description of data mining methods, a review of data mining software tools, and a survey of examples of data mining applications.

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.amjmed.2006.05.068 Byline: Dominique Joyal (a), Ferdinand Leya (a), Megan Koh (b), Richard Besinger (b), Ravi Ramana (a), Steven Kahn (c), Walter Jeske (d), Bruce Lewis (a), Lowell Steen (a), Ruben Mestril (d), Dinesh Arab (a) Keywords: Troponin; preeclampsia Abstract: Preeclampsia involves a diffuse inflammatory state and elevated levels of troponins in patients with preeclampsia have been anecdotally reported. It is, however, unknown whether it is attributable to the preeclampsia. Author Affiliation: (a) Cardiology Division, Loyola University Medical Center, Maywood, Ill. (b) Obstetric and Gynecology Division, Loyola University Medical Center, Maywood, Ill. (c) Pathology Division, Loyola University Medical Center, Maywood, Ill. (d) Division of Cardiovascular Research, Loyola University Medical Center, Maywood, Ill.

Bruce E Lewis, MD(*); Marc Cohen, MD; Fred Leya, MD; William Matthai, Jr, MD and the ARG-216/310/311 Investigators, Cardiology, Loyola University Medical Center, Maywood, IL; Cardiology, Hahneman Hospital, Philadelphia, PA [...]

For decades, engineers have attempted to design implantable artificial hearts and LVADs (left ventricular assist devices), but with only mixed success. The same devices that save many of those suffering […]