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The purpose of this paper is to describe risk and protective factors for symptoms of post-traumatic stress disorder (PTSD) experienced over a 1.5-year period among both frontline and “non-traditional” responders to the 2010 and 2011 earthquakes in Christchurch, New Zealand.

A longitudinal survey administered to Christchurch workers with referents from the city of Hamilton at 6, 12 and 18 months after the 2011 earthquake. Potential risk and protective determinants were assessed by questionnaire items at baseline and over time, the outcome being PTSD as assessed by the PTSD Checklist-Civilian version. A longitudinal latent class analysis identified groups with similar trajectories of PTSD.

A total of 226 individuals, 140 (26 per cent) from Christchurch and 86 (16 per cent) from Hamilton, participated at baseline, 180 at 12 and 123 at 18 months, non-traditional responders forming the largest single group. Two latent classes emerged, with PTSD (21 per cent) and without PTSD (79 per cent), with little change over the 18-month period. Class membership was predicted by high scores in the Social Support and Impact of Events scale items, Health-related Quality of Life scores being protective. PTSD scores indicative of distress were found in females, and predicted by burnout risk, behavioural disengagement and venting.

Non-traditional responders should be screened for PTSD. Social support should be considered with the promotion of adaptive coping mechanisms.

The strength was longitudinal follow-up over an 18-month period, with demonstration of how the potential determinants influenced the course of PTSD over time.

This study aims to develop an automatic lane-change mechanism on highways for self-driving articulated trucks to improve traffic safety.

The authors proposed a novel safety lane-change path planning and tracking control method for articulated vehicles. A double-Gaussian distribution was introduced to deduce the lane-change trajectories of tractor and trailer coupling characteristics of intelligent vehicles and roads. With different steering and braking maneuvers, minimum safe distances were modeled and calculated. Considering safety and ergonomics, the authors invested multilevel self-driving modes that serve as the basis of decision-making for vehicle lane-change. Furthermore, a combined controller was designed by feedback linearization and single-point preview optimization to ensure the path tracking and robust stability. Specialized hardware in the loop simulation platform was built to verify the effectiveness of the designed method.

The numerical simulation results demonstrated the path-planning model feasibility and controller-combined decision mechanism effectiveness to self-driving trucks. The proposed trajectory model could provide safety lane-change path planning, and the designed controller could ensure good tracking and robust stability for the closed-loop nonlinear system.

This is a fundamental research of intelligent local path planning and automatic control for articulated vehicles. There are two main contributions: the first is a more quantifiable trajectory model for self-driving articulated vehicles, which provides the opportunity to adapt vehicle and scene changes. The second involves designing a feedback linearization controller, combined with a multi-objective decision-making mode, to improve the comprehensive performance of intelligent vehicles. This study provides a valuable reference to develop advanced driving assistant system and intelligent control systems for self-driving articulated vehicles.

A considerable amount of police evaluation research focuses on innovative approaches to reduce crime at places. This is hardly coincidental; policing and place-based scholars have found crime is highly concentrated, and when police focus on these places, they can prevent and reduce crime. The regularity of such findings led Weisburd (2015) to assert the existence of a “law of crime concentration.” Given that bold assertion, the authors test whether the law of crime concentration is generalizable to one of the most common public safety concerns that police handle—traffic crashes.

To determine whether the law of crime concentration applies to traffic crashes, the authors examined crash locations and times in all counties in Utah across four years. Following and expanding on Weisburd's methods, the authors calculate the bandwidth of concentration for these crashes and analyze various types by severity and possible explanations for variations in crash concentrations across the state.

A small proportion of street segments and intersections experience a disproportionately high number of crashes, and the degree of concentration of crashes may be even higher than that of crime. Further, there are variations in the levels of crash concentration across counties and in the severity of injuries resulting from the crashes.

Place-based criminologists and policing scholars have not often explored traffic crashes in their analyses. Yet, traffic problems take up a significant amount of law enforcement time and resources and are often priorities for most law enforcement agencies. Given what the authors know from traffic, policing and crime and place research, targeted approaches at micro traffic crash hot spots can be beneficial for public safety prevention.

This study is the first to explore the application of Weisburd's Law of Crime Concentration to traffic crashes. Given that police spend a significant amount of time and resources on traffic-related problems in their jurisdiction, finding more effective, evidence-based approaches to address this public safety concern should be a high priority for police and researchers alike.

The purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies incentivizing productive entrepreneurial activities and subsequent economic development. Therefore, the author reviews entrepreneurship articles and explores the application of game-theoretic models and concepts in the literature.

First, the author provides an overview of the entrepreneurship ecosystem concept, highlighting key challenges in its study. The author also briefly highlights successful applications of game theory in the innovation literature. Second, the author systematically reviews and synthesizes entrepreneurship research employing game-theoretic models and concepts. The author's objective is to provide a state-of-the-art overview of the use of game theory in entrepreneurship.

Broadly, the author categorizes entrepreneurship-game theory articles into three groups based on their scope and purpose: entrepreneurial policy applications, inter-firm applications and entrepreneurship theory applications. Entrepreneurial policy applications include entrepreneurs and the government or policy as the main players in a game. Inter-firm applications encompass games between entrepreneurs and other private entities. Entrepreneurship theory applications include articles that utilize game theory to advance the author's understanding of entrepreneurial behavior and/or mechanisms in the market.

To the best of the author's knowledge, no previous paper has reviewed the use of game-theoretic approaches and models in entrepreneurship literature. This study addresses this research gap.

The purpose of this study is to investigate the role of connective action characterised by interconnection and personal communication on social media (SM) for participating in collective action in the physical world of social movements.

A research model is developed integrating different modes of connective action into the social identity model of collective action (SIMCA) to investigate pathways to participating in offline collective action (CA) from an individual perspective. Following a survey design approach, data collected from 194 respondents in the background of Egypt's social movements are examined using partial least squares (PLS) path modelling and mediation analyses.

The authors' main results reveal that interactive socialisation (IS) on SM provides an important momentum for the user to internalise (consume) and externalise (share) content online from a social learning perspective. In terms of translating these activities to participating in offline CA, the authors find support for two independent causal chains: An “instrumental” chain building on content externalisation (CE) and efficacy considerations and an “obligatory” chain based on content internalisation (CI) and collective identity.

The authors' results highlight the individual-level origins of offline mobilisation in social movements, which are not only grounded in social-psychology, but also develop out of interrelated connective actions supporting social learning. Prior work has mainly conceptualised the value of SM in social movements for online political communication. The authors' conceptualisation is novel in terms of integrating online and offline behaviours with social-psychological perspectives and the application with primary data in a protest movement context that heavily relied on connective actions for offline mobilisation.

The goal of the paper is to examine the dynamics between innovation, market structure and trade performance. Firstly, the author first investigates the effects of innovation on trade performance. Secondly, the author then examines how market structure affect trade by classifying industries based on their innovation intensity.

The author uses a detailed level data set of eight OECD countries in a panel of 17 industries from the STAN and ANBERD Database. The author employs both a pooled regression and a two-stage quantile regression analysis. The author first investigates the effects of innovation at the aggregate level, and then the author assesses the effects at the disaggregated or firm level.

The author finds that at the aggregate level, innovation and market size have a positive and significant effect on competitivity in most of the specifications. However, innovation is negatively associated with trade performance in the case of bilateral trade between Spain and the Netherlands. Also, the sectoral analysis provides evidence that the innovation-trade nexus depends on technological classification. The author shows that: (1) the effect of innovation activity on trade performance economic performance is lower for the high technology and high concentration (HTHC) market compared to the low technology (LT) market; (2) the impact of innovation on economic performance is ambiguous for firms in the high technology and low concentration (HTLC) market.

Although the database provides a rich data set on industrial data, it fails to provide innovation output such as patent data which may underestimate the innovation activities of firms that do not have a separate R&D records. In the current context of subdue economic growth these research results have important policy implications. Firstly, the positive impact of innovation on trade performance strengthens its role for sustainable development. The negative coefficient on innovation is an indication that research intensity in some cases has not been able to create a new demand capable to boost economic performance.

The market classification analysis provides new evidence that innovation in the LT market has the potential to enhance competition. Secondly, market size supports industries that are competing in the international market. Policy makers must therefore put in place incentives to encourage firms to grow in size if they want to remain globally competitive.

Sustainable development can be supported through investment in research and development in the low technology sector.

The study is the first as far as the author knows, to examine the impact of innovation on bilateral trade performance using industry level data from OECD countries. Secondly, the author complements the existing literature by examining how innovation activities (classified as high technological intensive or low technological intensive) affect trade performance.

本研究擬探討創新觀念、市場結構和貿易表現之間的相互變革動力關係。我們首先研究創新觀念對貿易表現的影響,繼而探討市場結構對貿易表現的影響。根據各個行業的創新觀念強度,我們把行業分為不同類別。我們採用八個經濟合作暨發展組織國家的詳細級數據庫,而這八個國家、乃是STAN and ANBERD 數據庫內一個包括17個行業組別內的國家。我們採用混合估計和兩階段分位數回歸分析; 我們首先探討創新觀念所帶來的整體影響,繼而評估細分層面 (即公司層面) 上的影響。我們發現、在整體的層面上,創新觀念和市場規模、在我們大部份的規格上,均對競爭力帶來積極和重要的影響。唯在西班牙與荷蘭兩國之間的雙邊貿易上,創新觀念與貿易表現卻出現負相關的情況。而且,行業分析證實創新與貿易的關係是取決於技術分類的。我們的研究顯示:(1) 與低技術市場相比,於高技術、高集中程度的市場,創新觀念的活動對貿易表現和經濟表現的影響會較低; (2) 對處於高技術、低集中程度市場的公司而言、創新觀念對經濟表現的影響是不明確的。雖然該數據庫在工業數據方面提供一個豐富的數據集,卻未能提供如專利數據等的創新產出,這可能會導致沒有單獨研發記錄公司的創新觀念活動會被低估的情況。在現時經濟成長受到壓制的環境下,這些研究結果提供重要的政策啟示; 首先,創新觀念對貿易表現的積極影響增強了它在可持續發展方面所扮演的角色。創新觀念上的負系數顯示、在某些情況下,研究強度未能創造一個可提高經濟表現的新需求。市場分類分析提供新的證據、證明在低技術市場,創新觀念有提高競爭力的潛力; 其次,市場規模為於國際市場競爭的行業提供支援; 因此,政策制定者必須提供誘因、以鼓勵希望繼續具有全球競爭力的公司擴大其規模。

This paper aims to examine how academics enact trust in e-learning through an inductive identification of perceived risks and enablers involved in e-learning adoption, in the context of higher education institutions (HEIs).

Grounded Theory was the methodology used to systematically analyse data collected in semi-structured interviews with 62 academics. Data analysis followed the constant comparative method and its three-staged coding approach: open, axial and selective coding.

The resulting trajectory of trust factors is presented in a Grounded Theory narrative where individual change and integration through shared collective understanding and institutionalisation are discussed as stages leading to the overcoming of e-learning adoption barriers.

The paper proposes that the interplay between institutionalism and individualism has implications in the success or failure of strategies for the adoption of e-learning in HEIs, as perceived by academics. In practical terms, this points to the need for close attention to contextually sensitive trust-building mechanisms that promote the balance between academics’ commitments, values and sense of self-worth and centrally planned policy, rules, resources and exhortations that enable action.

Healthy Together (HT) is an innovative family education program focused on bringing families together to promote physical activity and healthy eating. The HT program was implemented in 10 community-based organizations across Canada offering services to immigrant and refugee families. The purpose of this study was to explore the feasibility and acceptability of HT when offered to these families.

A cross-sectional, non-comparative design was used. Caregiver participants were invited to complete a survey at the end of 15, 30 or 24 HT sessions. Trained program facilitators and directors of community-based organizations also provided feedback on the program.

Among the 203 caregiver participants, 135 (64%) were born outside of Canada. These caregivers were more likely to attend 50% or more of the HT sessions than Canadian-born caregivers. Survey responses show that the HT program was acceptable to immigrant and refugee caregivers and held important benefits for families including positive changes in healthy eating and physical activity, strengthening social connections and learning about community services and resources. Areas for enhancing the HT program for immigrant and refugee families were identified by participant caregivers and community organizations delivering the program.

The HT program demonstrates the value of family-centered program models in supporting immigrant and refugee families in establishing healthy lifestyles and building social connections in ways that hold promise for long-term impact.

The HT program model demonstrates strong potential to fill gaps in community programming for immigrant and refugee families. Although focused on promoting healthy lifestyles, the program extends additional benefits that can positively influence resettlement trajectories. The findings contribute to the growing field of implementation studies that are focused on expanding the reach and impact of community health interventions in a real-world setting while reaching multiple target populations.

The purpose of this study is to examine how dialogic spaces were co-constituted (opened, broadened and deepened) between students engaged in divergent and convergent collaborative learning tasks, orchestrated by teachers in Finnish primary and secondary schools. The concept of dialogic space refers to a dynamic, shared resource of ideas in dialogue and has come to represent an ideal form of educational interaction, in the contexts of collaborative learning, joint creative work and shared knowledge-building.

A socio-cultural discourse analysis of video-observed classroom dialogue, entailing the development of a new analytic typology, was undertaken to explore the co-constitution of dialogic space. The data are derived from two qualitative studies, one examining dialogue to co-create fictive video stories in primary-school classrooms (divergent task), the other investigating collaborative knowledge building in secondary-school health education (convergent task).

Dialogic spaces were opened through group settings and by the students’ selection of topics. In the divergent task, the broadening of dialogic space derived from the heterogeneous group settings, whereas in the convergent task, from the multiple and various information sources involved. As regards the deepening of dialogic space, explicit reflective talk remained scarce; instead the norms deriving from the school-context tasks and requirements guided the group dialogue.

This study lays the groundwork for subsequent research regarding the orchestration of dialogic space in divergent and convergent tasks by offering a typology to operationalise dialogic space for further, more systematic, comparisons and aiding the understandings of the processes implicated in intercreating and interthinking. This in turn is of significance for the development of dialogic pedagogies.

Global evidence indicates that multiple structural, biological, and behavioural mechanisms link gender-based violence (GBV), HIV/HCV, and substance misuse among women and adolescent girls. The aim of this chapter is to briefly summarise and synthesise recent literature that examines the complex and bi-directional relationships among these epidemics in different populations of adolescent girls and women around the world. To inform this chapter, a selective search strategy was conducted, prioritising use of meta-analytic epidemiological studies and research on interventions and policies that address different aspects of the syndemic among women and girls who use drugs worldwide. The search targeted publications from 2015 to 2019 using PubMed, MEDLINE, and Google Scholar. The chapter highlights methodological and geographic gaps in existing policy, intervention, and implementation research and makes recommendations for strategies to tackle these gaps. It also identifies a continuum of multilevel evidence-based interventions that target the risk environments and key syndemic mechanisms linking these intersecting epidemics that have been found to be effective in reducing intimate partner violence and other forms of GBV, substance use, and HIV/HCV risks. This chapter also assesses inclusiveness of existing research and interventions for underserved and disproportionately affected populations, affecting adolescent girls, sexual minority women, and racial/ethnic minority women and identifies strategies to target gaps or disparities for these key affected populations. Finally, this chapter describes the gaps and opportunities that harm reduction programmes, medical settings, and other community organisations experience in implementing gender-responsive programmes and policies to redress these intersecting epidemics.