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The purpose of this paper is to present a strategy for estimating an individual’s risk of alcohol, cigarette and cannabis use that relies on an assessment of an adolescent’s age, gender and attitude.

The authors assembled surveys from 35,987 11-17 year-olds from 36 databases to examine the relationship between attitude and behaviour.

Attitudes were strongly correlated with concurrent use of alcohol, drunkenness, smoking and cannabis, with correlations of −0.555, −0.517, −0.552 and −0.476, respectively. Logistic regression provided a means for using age, gender and attitudes to estimate an individual’s risk of engaging in substance use behaviour. Developmental changes in attitudes were estimated by analysing changes in scores associated with percentile rankings for each age and gender group. Projected year-to-year changes in attitude were used as a heuristic for estimating future risk.

Analyses relied on cross-sectional panel data. Analyses would benefit from longitudinal data in which age-related changes in attitudes could be more precisely modelled.

Information about estimated current and future risk may prove useful for motivating the adoption and implementation of effective prevention approaches by parents and care providers.

The authors present a novel method for estimating an individual’s risk of substance use knowing attitude, age and gender.

Unobtrusive measurement methodologies are critical to implementing intelligent tutoring systems (ITS) for teams. Such methodologies allow for continuous measurement of team states and processes while avoiding disruption of mission or training performance, and do not rely on post hoc feedback (including for the aggregation of data into measures or to develop insights from these real-time metrics). This chapter summarizes advances in unobtrusive measurement developed within Army research programs to illustrate the variety and potential that unobtrusive measurement approaches can provide for building ITS for teams. Challenges regarding the real-time aggregation of data and applications to current and future ITS for teams are also discussed.

Decision making and the nature of decisions themselves are changing with the introduction of new information technology (IT)‐based systems in the construction industry. The use of IT systems relates to and can induce changes in business processes within firms as well as interorganizational project processes between firms. In the USA, some of the world's largest hardware and software producers are developing new generations of systems. The market for such systems is potentially large, and these vendors work in close proximity to powerful engineering and construction organizations as well as leading research establishments. It is likely that some of these systems will become de facto standards. For this and other reasons of industrial competitiveness, developments in US IT decision support systems are of interest to practitioners and researchers around the world. The present paper presents the findings of a UK Department of Trade and Industry Expert Mission to assess the development and use of IT systems in the US construction industry. The mission team included seven members, each with specialist knowledge of different aspects of IT development and implementation. The team visited 18 leading organizations where detailed interviews and seminars were conducted during a 2‐week period. The present paper highlights questions for researchers and systems developers. The main findings indicate fundamental changes to the timing, sequence and hierarchy of decision making.

With aims to increase the aerodynamic efficiency of aerodynamic surfaces, study on flow control over these surfaces has gained importance. With the addition of flow control devices such as synthetic jets and vortex generators, the flow characteristics can be modified over the surface and, at the same time, enhance the performance of the body. One such flow control device is the tubercle. Inspired by the humpback whale’s flippers, these leading-edge serrations have improved the aerodynamic efficiency and the lift characteristics of airfoils and wings. This paper aims to discusses in detail the flow physics associated with tubercles and their effect on swept wings.

This study involves a series of experimental and numerical analyses that have been performed on four different wing configurations, with four different sweep angles corresponding to 0°, 10°, 20° and 30° at a low Reynolds number corresponding to Re_c=100,000.

Results indicate that the effect of tubercles diminishes with an increase in wing sweep. A significant performance enhancement was observed in the stall and post-stall regions. The addition of tubercles led to a smooth post-stall lift characteristic compared to the sudden loss in the lift with regular wings. Among the four different wings under observation, it was found that tubercles were most effective on the 0° configuration (no sweep), showing a 10.8% increment in maximum lift and a 38.5% increase in the average lift generated in the post-stall region. Tubercles were least effective on 30° configuration. Furthermore, with an increase in wing sweep, co-rotating vortices were distinctly observed rather than counter-rotating vortices.

While extensive numerical and experimental studies have been performed on straight wings with tubercles, studies on the tubercle effect on swept wings at low Reynolds number are minimal and mainly experimental in nature. This study uses numerical methods to explore the complex flow physics associated with tubercles and their implementation on swept wings. This study can be used as an introductory study to implement passive flow control devices in the low Reynolds number regime.

Little is known about how assistive technology standards have been implemented in preservice teacher preparation. This chapter provides a review of the literature concerning the importance of evidence-based practice and the research base supporting assistive technology in order to set the context for reporting the results of a comprehensive national study of the status of assistive technology state standards for teachers in all of the 50 states (plus Washington, DC). This chapter includes the findings of the study, the research that the study was based upon, and a review of relevant research in the fields of assistive technology, educational technology, and evidence-based practice. Only six states reported having AT standards and six states reported having AT competencies. Three states reported having both standards and competencies, yielding nine unique states (out of 51) with AT standards and/or AT competencies. Regression analyses to determine the relationship between the study variables and national reading and math performance of students with disabilities were inconclusive. The implications of the study findings and recommendations for future research are presented.

Mental health is not simply the absence of psychological problems any more than physical health is the absence of disease. This chapter explores various aspects of optimal mental health and wellbeing among college students. It examines the question of what is required for college students to both feel their best and function at or near their highest levels. It also discusses the characteristics of peak mental health, including its transient nature. Predictive factors such as exercise, diet, sleep and social connection will be explored. Regarding the features of optimal wellbeing, the following variables are described: integrity, values, mindfulness, self-compassion, flow and resilience. These variables are considered in an integrated fashion as components, as well as byproducts, of wellness. Hettler’s multidimensional model of wellness is presented at the outset of the chapter, followed by Keyes’ theory of flourishing.

In recent years, we have seen a paradox. No matter how much the government strives to incorporate technology into classrooms as a learning resource for students, both national and international reports prove that this is a difficult aim to achieve purpose. Training both preservice and in-service teachers is vitally important for technology to become part of everyday school life. But to achieve this, we must move away from the techno-centric focus of technology. This chapter analyzes the importance of focusing on implementing technologies in the learning activities that teacher-trainers design to prepare preservice teachers. We describe seven types of activities: assimilative, informative management, applicative, communicative, productive, experiential, and evaluation. All of these technology-based learning activities, organized in learning sequences, potentially help teachers to come to terms with technological knowledge in their pedagogical content area.

The aim of this chapter is to: (1) model culture as a configuration of multiple values, (2) identify different culture archetypes across the globe, and (3) empirically demonstrate heterogeneity in culture archetypes within and across 52 countries. We use Schwartz values from the World Values Survey (WVS) and the archetypal analysis (AA) method to identify diverse culture archetypes within and across countries. We find significant heterogeneity in culture values archetypes within countries and homogeneity across countries, calling into question the assumption of uniform national culture values in economics and other fields. We show how the heterogeneity in culture values across the globe can be represented with a small number of distinctive archetypes. The study could be extended to include a larger set of countries, and/or cover a broader range of theoretically grounded values than those available in the Schwartz values model in the WVS. Research and practice often assume cultural homogeneity within nations and cultural diversity across nations. Our finding of different culture archetypes within countries and similar archetypes across countries demonstrates the important role of culture sharing and exchange as a source of reducing cultural conflicts between nations and enhancing creativity and innovation through interaction and integration in novel ways. We examine culture as a configuration of multiple values, and use a novel AA method to capture heterogeneity in culture values within and across countries.