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In light of the relation between culture and markets, an analysis of cultural evolution reveals that globalization will not lead to the homogenization of world cultures. © 2006, Emerald Group Publishing Limited

Purpose: The purpose of this qualitative descriptive study was to explore the medication-taking experiences of undergraduate college students prescribed short-term antibiotic therapies and to describe factors influencing their adherence. Data sources: Thirty-four undergraduate students prescribed antibiotics for treatment of an acute infectious illness at a large university health center were recruited to participate in this study. Semistructured telephone interviews were conducted after students finished their course of treatment. Qualitative descriptive content analysis was used to analyze the transcripts typed from the audio-taped phone interviews. Conclusions: The main theme that emerged from the data was antibiotic-taking self-management. Most participants were able to adapt medication regimens into their daily routines, and used events in their day and specific reminder strategies to help them to remember to take their medications. This occurred despite an ever-changing class and work schedule and being prescribed complex, lengthy antibiotic regimens. Most dosing errors occurred during times when schedules changed or students were off campus during weekends or college breaks. A small number of students discontinued therapy early because of side effects or forgetfulness. Implications for practice: By understanding factors that influence antibiotic adherence from a college student perspective, healthcare providers can suggest strategies to promote adherence that are tailored to the specific needs of this unique population. © 2006 American Academy of Nurse Practitioners.

This research examines the four culture dimensions developed by Hofstede's 1980 and 1983 studies exploring the potential of management-employee conflict. In the present study, employee responses to Hofstede's national culture survey were performed in Belarus, formerly of the Soviet Union, in order to establish a culture score for each of Hofstede's four culture dimensions in a centrally planned economy. The results of the research run counter to some of the stereotypic cultural characteristic expectations, and support others of the cultural values attributable to the Republic of Belarus, an autocratic political and economic state in Eastern Europe. Copyright © by The Haworth Press, Inc. All rights reserved.

This article presents a pedagogical model that utilizes students as primary researchers in the identification, interviewing, and then reporting on women entrepreneurs as a major component of a multidisciplinary entrepreneurship course. The purpose of the course is to attract students who may not be familiar with the entrepreneurship concept itself, the role of women in such economic ventures, or the possibilities for people like themselves in such a career avenue. Students are exposed to the accomplishments of women entrepreneurs throughout U.S. history in the broad categories of agriculture and mining; construction; communication; manufacturing; service (both for profit and not-for-profit); transportation; and wholesale and retail trade. This content experience is then enhanced by the studentsʼ own direct interaction with and interviewing of women entrepreneurs. The implementation, potential outcomes, and possible adaptations of the course are described, and this transformational learning process model is illustrated. © Published by DigitalCommons©SHU, 2006.

Purpose - The purpose of this paper is to explore the impact of public digital services on urban/suburban residents, to uncover the current usage of public digital services and levels of satisfaction with the digital resources/content in urban digital libraries (networked computers with specific information infrastructure designed free for public use). Design/methodology/approach - A qualitative approach is used as a main stream in the research framework as the method of inquiry. Qualitative one-to-one interviews include surveying users who use public library websites, observing the users, consulting librarians about the users, and interviewing the users. Findings - Provides demographic patterns of the patron's interaction with the digital services public libraries provide, and the satisfaction and compliances the residents have regarding information access through the digital technology in urban/suburban Connecticut. Practical implications - Because of the small number of participants, this study has limitations in being generalized to an understanding of overall patterns of urban residents using digital resources in public settings in the USA or elsewhere, however, it could be a good pilot study for a nation-wide survey with the methods tested. Originality/value - This study helps fulfill the scant empirical attention given to the impact access to public digital information or use of digital library services on the urban/suburban residents, offers new data that help public library administrators enhance the impact, efficiency and value of the public digital library services to improve the digital learning environments for life-long education at all levels in a broad community of urban-suburban users. © Emerald Group Publishing Limited.

This study investigated how differences between athletes who scored low and high on sensoriprocessing sensitivity apply self-discrepancies and emotional reactions to competitive sporting events. Two hypotheses were proposed: The High Sensitivity group (n = 33) would score higher for anxiety, guilt, and shame, and lower on pride and report more stress attributed to self-discrepancies than the Low Sensitivity group (n = 32) following competitive sports events. Collegiate varsity athletes were administered the High Sensitivity Scale prior to competition and completed the Selves Questionnaire and the Goal Congruent and Incongruent Emotion Scale immediately after competition. Scores for the High Sensitivity Scale were used to separate athletes into high and low sensitivity groups. A multivariate analysis of variance and subsequent univariate analyses indicated that the High Sensitivity group reported higher scores on anxiety, shame, and stress than the Low Sensitivity group. This was interpreted as reflecting differences between both ideal and ought self-discrepancies.

Between 2001 and 2003, Roxanne Quimby - then the sole owner of a natural personal-care products company named Burt's Bees - invested millions of dollars of her company's profits in tens of thousands of acres of forestland in northern Maine. Her intention was to donate that land to the United States government on behalf of a controversial national park proposed for the region - the Maine Woods National Park. Quimby's actions set off sharp debates between policy makers, environmentalists and residents of northern Maine. As this article suggests, those debates were informed in part by their association with green consumerism. When consumers purchase `environmentally friendly' products like those made by Burt's Bees, they typically envision their actions as having positive consequences for places associated directly with the production and consumption of that product. In this case, however, profits from a green consumer product were reinvested outside its immediate commodity chain, thereby implicating green-consumer decisions in a politics of identity and landscape control beyond that product's lifecycle. This paper explores that process, suggesting that even the most well-intended consumer choices can carry social and environmental consequences into new and perhaps unexpected terrain. When we shop to save, we can never be quite certain of what it is that we are saving.

In an attempt to predict a peak in the US economy using a classical statistical decision methodology and a Bayesian methodology and using the 1996 revised composite leading economic indicators (CLI), it is learned that the Bayesian models have generally outperformed the classical statistical ones and, among the Bayesian models, the two using two and three consecutive CLI growth rates are superior in reliability and in accuracy. These two models, however, failed to correctly predict the 2001 recession. In investigating the reasons behind their failures, we learned that: (1) if the concurrent data for the economic structure of 1983-1999 are used for the prediction, they have also been able to predict the 2001 recession correctly, but their overall reliability is not as strong as before; (2) given the overwhelming weight of the monetary policy tools in the CLI-1996 design and the combination of the economic and political events in the year 2000, the less than expected effectiveness of the monetary policy since 2001 has contributed to this failure; and (3) a possible structural change in the US economy since 2000 has also contributed to this prediction failure. © World Scientific Publishing Company.

Pipelining is the suitable architecture to adopt applications that are naturally divided into stages. Recently, applications tend to be Object Oriented (OO). Within the context of OO, there are a lot of interactions among different objects that result in many communication activities. Besides the feed-forward communication activities, many bypassing activities are generated in the pipeline structure. In this paper, we present a performance model that analyzes and evaluates the execution and communication times of OO software that runs on pipeline architecture. The model realizes both the feed-forward and the bypassing communication. We utilize the model to restructure the target software to achieve better performance. The restructuring algorithm has two phases; the first phase is concerned with maximizing the throughput. The second phase aims to minimize the latency and fully exploit the system resources. © 2006 - IOS Press and the authors. All rights reserved.

The primary goal of this research was to investigate the ability of quantitative variables to confirm qualitative improvements of the deconvolution algorithm as a preprocessing step in evaluating micro CT bone density images. The analysis of these types of images is important because they are necessary to evaluate various countermeasures used to reduce or potentially reverse bone loss experienced by some astronauts when exposed to extended weightlessness during space travel. Nine low resolution (17.5 microns) CT bone density image sequences, ranging from between 85 to 88 images per sequence, were processed with three preprocessing treatment groups consisting of no preprocessing, preprocessing with a deconvolution algorithm and preprocessing with a Gaussian filter. The quantitative parameters investigated consisted of Bone Volume to Total Volume Ratio, the Structured Model Index, Fractal Dimension, Bone Area Ratio, Bone Thickness Ratio, Euler's Number and the Measure of Enhancement. Trends found in these quantitative variables appear to corroborate the visual improvements observed in the past and suggest which quantitative parameters may be capable of distinguishing between groups that experience bone loss and others that do not.

This paper describes a collaborative project conducted by the Computer Science Department at Southern Connecticut State University and NASA's Goddard Institute for Space Science (GISS). Animations of output from a climate simulation math model used at GISS to predict rainfall and circulation have been produced for West Africa from June to September 2002. These early results have assisted scientists at GISS in evaluating the accuracy of the RM3 climate model when compared to similar results obtained from satellite imagery. The results presented below will be refined to better meet the needs of GISS scientists and will be expanded to cover other geographic regions for a variety of time frames.