30472 research outputs found
Sort by
Lure of the social: encounters with contemporary artists
Review of: Gretchen Coombs, 'Lure of the Social: Encounters with Contemporary Artists'. Intellect Books, Bristol, 2021, (ISBN pbk 9781789383225), 176 pp
'Gabriel Proulx, Quand les spectres prennent la parole : Échos beckettiens chez Christophe Tarkos'. Paris: Classiques Garnier, 2020. 165 pp. €63.00 (hb). ISBN 978-2-406-10096-6; €24.00 (pb). ISBN 978-2-406-10095-9
Brands and consumers: a research overview
Book synopsis: Brand management is firmly established as a core business and marketing activity. The research evidence on how consumers react to branding, however, is in constant evolution globally. This short-form book provides a comprehensive overview of research evidence on several core branding topics whilst acting as a catalyst for advancing future research and informing business practice.
The book fills a gap created by prior volumes on branding that, although well- illustrated and explained, have often approached the subject in somewhat uncritical manner. The book represents a timely compendium on popular topics in branding and aims to be a valuable addition to knowledge in branding. The book focuses on reviewing research in branding and brand management, and proposes areas for expanding research in the field. Recognising the diversity of research in branding, the authors of this book, as active branding researchers, attempt to discuss the limitations of current research and provide insights for future explorations.
The book will be of interest and a resource for academic researchers, branding practitioners, business students and policymakers who view branding as an evidence-oriented discipline
We all fall down: nuclear families and post-nuclear worlds
In NUCLEAR FAMILY, Erin and Travis Wilkerson invite their audience on a family road trip to nuclear silos across the US West. In this article, I discuss how NUCLEAR FAMILY disrupt “nuclear normality”, (as outlined by Robert J. Lifton and Eric Markusen). Further, I explore how the film's frequent reference to “Invasive Species” articulates an ongoing narrative of apocalypse and the human obsession with war
Is data-driven politics good for democracy?
From FOI to TheyWorkForYou, we have more data about British politics – and politicians – than ever before. But is all this data good for democracy? Ben Worthy, Cat Morgan and Stefani Langehennig investigate
Disordered gaming in esports: comparing professional and non-professional gamers
The American Psychiatric Association (APA) proposed ‘Internet Gaming Disorder’ (IGD) as a tentative disorder (APA framework) in 2013 and in 2019 the World Health Organization (WHO) has fully recognized ‘Gaming Disorder’ (GD) as a mental health disorder (WHO framework). These two frameworks have not yet been jointly investigated in the context of esports. The present study aims to investigate the feasibility of the APA and WHO frameworks for disordered gaming among professional and non-professional gamers and to ascertain the suitability of existing psychometric tools for use in esports. Methods: A sample of 5,734 gamers (Mage = 21.47 years, SD = 6.69 years; 6.94% female) recruited through an online survey prior to the COVID-19 pandemic that included an age and gender matched group of professional (n = 2,867) and non-professional gamers (n = 2,867) was investigated. Pairwise comparisons, measurement invariance (MI), and latent mean difference tests were conducted to distinguish the two groups of gamers. Results: Overall, professional gamers showed greater time spent gaming and prevalence of disordered gaming than non-professional gamers. Additionally, MI was supported and both disordered gaming levels and latent means were significantly higher among professional gamers when compared to non-professional gamers across both APA and WHO frameworks. Conclusions: Esports is cross-sectionally associated with greater disordered gaming vulnerability through increased time spent gaming and disordered gaming prevalence rates. Furthermore, the APA and WHO frameworks are viable in the context of esports gaming with existing assessment tools being effective in the assessment of disordered gaming in esports. The results and implications are further discussed in light of the extant literature
Is flow possible in the Emergency Remote Teaching foreign language classroom?
The present study focuses on the experience of flow among 168 Arab and Kurdish English Foreign Language (EFL) learners in both in-person and emergency remote teaching (ERT) classes.
Statistical analyses of questionnaire data revealed that learners did experience flow in their ERT classes but for a significantly shorter time than in the pre-pandemic in-person classes. Those who experienced flow in in-person classes were also more likely to experience it in ERT classes. In the in-person classes, the proportion of time in flow was linked to age, self-rated proficiency, attitudes toward English, attitudes toward the teacher, and the teacher frequency of use of English. In contrast, in ERT classes, the proportion of time in flow was only linked to attitude toward the teacher. This is interpreted as evidence that the ERT does not just cause physical and social isolation but also mental isolation
The legalisation of Cannabis and the question of reparations
The dramatic sea-change in the legal status of both the domestic and transnational cannabis trade provokes the question of what accompanying vision of transitional justice might underpin this shift? As the changing status of prohibited drugs not only seeks to correct a historical wrong but also gives rise to a new, highly profitable commodities market, I will analyse whether the policies that are currently being implemented alongside cannabis legalisation are sufficient to appease a demand for reparations for the material harm endured by individuals and communities through the past century of an international, futile ‘War on Drugs’. Proceeding from a brief review of the ways in which the ‘War on Drugs’ was both historically and structurally weighted towards the reinforcement of racial hierarchies, I will look at how International and domestic legal initiatives may serve as either a tool of facilitation or obstruction to advancement of reparative racial justice alongside the legalisation of cannabis
Report FGP0388 for the UK Parliament Health and Social Care Committee
The covid-19 pandemic changed the landscape that GPs worked in by reducing some types of bureaucracy and giving doctors more autonomy, and some improvements in patients’ access to GPs were made possible by new ways of approaching clinical care (e.g., more frequent use of telephone consultations). At the same time, the future of general practice relies on overcoming two major stumbling blocks: (A) how to get the public and media on board with transformations in how GPs provide care, (B) how to improve patients’ access to GPs while juggling the challenges posed by bureaucracy (e.g., the extra administrative workload caused by regulation). This report recommends that the UK Parliament’s Health and Social Care Committee support efforts to bridge the gap between public policymaking and public understanding, and to advice public transparency in the Department for Health and Social Care evidencing of pledges from its “busting bureaucracy” report
DUT: learning video stabilization by simply watching unstable videos
Previous deep learning-based video stabilizers require a large scale of paired unstable and stable videos for training, which are difficult to collect. Traditional trajectory-based stabilizers, on the other hand, divide the task into several sub-tasks and tackle them subsequently, which are fragile in textureless and occluded regions regarding the usage of hand-crafted features. In this paper, we attempt to tackle the video stabilization problem in a deep unsupervised learning manner, which borrows the divide-and-conquer idea from traditional stabilizers while leveraging the representation power of DNNs to handle the challenges in real-world scenarios. Technically, DUT is composed of a trajectory estimation stage and a trajectory smoothing stage. In the trajectory estimation stage, we first estimate the motion of keypoints, initialise and refine the motion of grids via a novel multi-homography estimation strategry and a motion refinement network, respectively, and get the grid-based trajectories via temporal association. In the trajectory smoothing phase we devise a novel network to predict dynamic smoothing kernels for trajectory smoothing, which can well adapt to trajectories with different dynamic patterns. We exploit the spatial and temporal coherence of keypoints and grid vertices to formulate the training objectives, resulting in an unsupervised training scheme. Experiment results on public benchmarks show that DUT outperforms state-of-the-art methods both qualitatively and quantitatively. The source code is available at https://github.com/Annbless/DUTCode