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A University of Nebraska lab has developed a test that can detect the virus before symptoms become severe。 Now, it's ready to start testing those returning to the US after a cruise outbreak

Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation can be onerous, jargon-filled, unfamiliar, and resource-intensive. Further, it is often not a part of graduate training. Therefore, our goal was to concisely review the process of scale development in as straightforward a manner as possible, both to facilitate the development of new, valid, and reliable scales, and to help improve existing ones. To do this, we have created a primer for best practices for scale development in measuring complex phenomena. This is not a systematic review, but rather the amalgamation of technical literature and lessons learned from our experiences spent creating or adapting a number of scales over the past several decades. We identified three phases that span nine steps. In the first phase, items are generated and the validity of their content is assessed. In the second phase, the scale is constructed. Steps in scale construction include pre-testing the questions, administering the survey, reducing the number of items, and understanding how many factors the scale captures. In the third phase, scale evaluation, the number of dimensions is tested, reliability is tested, and validity is assessed. We have also added examples of best practices to each step. In sum, this primer will equip both scientists and practitioners to understand the ontology and methodology of scale development and validation, thereby facilitating the advancement of our understanding of a range of health, social, and behavioral outcomes.

AIM: To produce a framework for the development of a qualitative semi-structured interview guide. BACKGROUND: Rigorous data collection procedures fundamentally influence the results of studies. The semi-structured interview is a common data collection method, but methodological research on the development of a semi-structured interview guide is sparse. DESIGN: Systematic methodological review. DATA SOURCES: We searched PubMed, CINAHL, Scopus and Web of Science for methodological papers on semi-structured interview guides from October 2004-September 2014. Having examined 2,703 titles and abstracts and 21 full texts, we finally selected 10 papers. REVIEW METHODS: We analysed the data using the qualitative content analysis method. RESULTS: Our analysis resulted in new synthesized knowledge on the development of a semi-structured interview guide, including five phases: (1) identifying the prerequisites for using semi-structured interviews; (2) retrieving and using previous knowledge; (3) formulating the preliminary semi-structured interview guide; (4) pilot testing the guide; and (5) presenting the complete semi-structured interview guide. CONCLUSION: Rigorous development of a qualitative semi-structured interview guide contributes to the objectivity and trustworthiness of studies and makes the results more plausible. Researchers should consider using this five-step process to develop a semi-structured interview guide and justify the decisions made during it.

Learn how to employ JADE to build multi-agent systems! JADE (Java Agent DEvelopment framework) is a middleware for the development of applications, both in the mobile and fixed environment, based on the Peer-to-Peer intelligent autonomous agent approach. JADE enables developers to implement and deploy multi-agent systems, including agents running on wireless networks and limited-resource devices. Developing Multi-Agent Systems with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding to give a comprehensive guide to programming with JADE. Basic features such as creating agents, agent tasks, agent communication, agent discovery and GUIs are covered, as well as more advanced features including ontologies and content languages, complex behaviours, interaction protocols, agent mobility, and the in-process interface. Issues such as JADE internals, running JADE agents on mobile devices, deploying a fault tolerant JADE platform, and main add-ons are also covered in depth. Developing Multi-Agent Systems with JADE: Comprehensive guide to using JADE to build multi-agent systems and agent orientated programming. Describes and explains ontologies and content language, interaction protocols and complex behaviour. Includes material on persistence, security and a semantics framework. Contains numerous examples, problems, and illustrations to enhance learning. Presents a case study demonstrating the use of JADE in practice. Offers an accompanying website with additional learning resources such as sample code, exercises and PPT-slides. This invaluable resource will provide multi-agent systems practitioners, programmers working in the software industry with an interest on multi-agent systems as well as final year undergraduate and postgraduate students in CS and advanced networking and telecoms courses with a comprehensive guide to using JADE to employ multi agent systems. With contributions from experts in JADE and multi agent technology.

CONTEXT: Inflammation is hypothesized to play a role in development of type 2 diabetes mellitus (DM); however, clinical data addressing this issue are limited. OBJECTIVE: To determine whether elevated levels of the inflammatory markers interleukin 6 (IL-6) and C-reactive protein (CRP) are associated with development of type 2 DM in healthy middle-aged women. DESIGN: Prospective, nested case-control study. SETTING: The Women's Health Study, an ongoing US primary prevention, randomized clinical trial initiated in 1992. PARTICIPANTS: From a nationwide cohort of 27 628 women free of diagnosed DM, cardiovascular disease, and cancer at baseline, 188 women who developed diagnosed DM over a 4-year follow-up period were defined as cases and matched by age and fasting status with 362 disease-free controls. MAIN OUTCOME MEASURES: Incidence of confirmed clinically diagnosed type 2 DM by baseline levels of IL-6 and CRP. RESULTS: Baseline levels of IL-6 (P<.001) and CRP (P<.001) were significantly higher among cases than among controls. The relative risks of future DM for women in the highest vs lowest quartile of these inflammatory markers were 7.5 for IL-6 (95% confidence interval [CI], 3.7-15.4) and 15.7 for CRP (95% CI, 6.5-37.9). Positive associations persisted after adjustment for body mass index, family history of diabetes, smoking, exercise, use of alcohol, and hormone replacement therapy; multivariate relative risks for the highest vs lowest quartiles were 2.3 for IL-6 (95% CI, 0.9-5.6; P for trend =.07) and 4.2 for CRP (95% CI, 1.5-12.0; P for trend =.001). Similar results were observed in analyses limited to women with a baseline hemoglobin A(1c) of 6.0% or less and after adjustment for fasting insulin level. CONCLUSIONS: Elevated levels of CRP and IL-6 predict the development of type 2 DM. These data support a possible role for inflammation in diabetogenesis.

Eco-innovations, eco-efficiency and corporate social responsibility practices define much of the current industrial sustainability agenda. While important, they are insufficient in themselves to deliver the holistic changes necessary to achieve long-term social and environmental sustainability. How can we encourage corporate innovation that significantly changes the way companies operate to ensure greater sustainability? Sustainable business models (SBM) incorporate a triple bottom line approach and consider a wide range of stakeholder interests, including environment and society. They are important in driving and implementing corporate innovation for sustainability, can help embed sustainability into business purpose and processes, and serve as a key driver of competitive advantage. Many innovative approaches may contribute to delivering sustainability through business models, but have not been collated under a unifying theme of business model innovation. The literature and business practice review has identified a wide range of examples of mechanisms and solutions that can contribute to business model innovation for sustainability. The examples were collated and analysed to identify defining patterns and attributes that might facilitate categorisation. Sustainable business model archetypes are introduced to describe groupings of mechanisms and solutions that may contribute to building up the business model for sustainability. The aim of these archetypes is to develop a common language that can be used to accelerate the development of sustainable business models in research and practice. The archetypes are: Maximise material and energy efficiency; Create value from 'waste'; Substitute with renewables and natural processes; Deliver functionality rather than ownership; Adopt a stewardship role; Encourage sufficiency; Re-purpose the business for society/environment; and Develop scale-up solutions. © 2014 The Authors. Published by Elsevier Ltd. All rights reserved.

This paper details an empirical pilot study that explores the development of several conceptual measures and models regarding intellectual capital and its impact on business performance. The objective of this pilot study is to explore the development of items and constructs through principal components analysis and partial least squares (PLS). The final retained, subjective measures and optimal structural specification show a valid, reliable, significant and substantive causal link between dimensions of intellectual capital and business performance. These results should help both academics and practitioners more readily understand the components of intellectual capital and provide insight into developing and increasing it within an organization. Suggestions are then made to advance and improve this research programme.

Adolescents embody the best hopes of American society. Their vital role in shaping our future lends particular significance to their success in negotiating the passage from childhood to adulthood, while their intensity and visibility often make them barometers of social change. It is all the more remarkable, then, that this critical period has only recently captured the full attention of researchers.At the Threshold presents the long-awaited findings of the Carnegie Foundation study on adolescence. It offers a comprehensive overview of what investigators are learning about normal development and provides an interdisciplinary synthesis of research into the biological, social, and psychological changes occurring during this key stage in the life span. While focusing on the contexts of adolescent life - social and ethnic, family and school, leisure and work-it also addresses how researchers are doing in the effort to understand the intersection of processes that initiate and sustain adolescent development and to characterize the extraordinary changes that occur during these years.Contrary to popular belief, large numbers of young people continue to mature into productive members of society. At the Threshold seeks to allow professionals and nonprofessionals alike important access to the reality of normal adolescent experience. The authors recognize that only if we begin to understand and clearly articulate the parameters of successful adolescent development can we hope to intervene with those individuals whose lives seem aimed toward unsatisfactory futures.

Part I: Introduction to Grounded Theory of Anselm Strauss Chapter 1: Inspiration and Background Chapter 2: Theoretical Foundations Chapter 3: Practical Considerations for Getting Started Chapter 4: Prelude to Analysis Chapter 5: Strategies for Qualitative Data Analysis Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Context Chapter 9: Process Chapter 10: Techniques for Achieving Theoretical Integration Chapter 11: The Use of Computer Programs in Qualitative Data Analysis Part II: Research Demonstration Project Chapter 12 Open Coding: Identifying Concepts Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions Chapter 14: Analyzing Data for Context Chapter 15: Bringing Process Into the Analysis Chapter 16: Integrating Categories Part III: Finishing the Research Project Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research Chapter 18: Criteria for Evaluation Chapter 19: Student Questions and Answers

The UK Medical Research Council’s widely used guidance for developing and evaluating complex interventions has been replaced by a new framework, commissioned jointly by the Medical Research Council and the National Institute for Health Research, which takes account of recent developments in theory and methods and the need to maximise the efficiency, use, and impact of research.

The Context for Professional Education and Development. Part 1 - Professional Knowledge - Its Character, Development and Use: The Influence of Context on Knowledge Use - What is Learned from Continuing Professional Education and How Kinds of Professional Knowledge - Modes of Knowledge Use and Knowledge Creation The Acquisition and Use of Theory by Beginning Teachers Headteachers Learning about Management - Types of Management Knowledge and the Role of the Management Course Learning Professional Processes - Public Knowledge and Personal Experience Theories of Professional Expertise. Part 2 - Professional Competence and Qualifications: Concepts of Competence and their Implications Competence in the NVQ/SVQ System The Assessment of Competence in the Professions. Part 3 - Professional Accountability: Professional Accountability and Client Outcomes.