BORDaR Bournemouth Online Research Data Repository
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Content data analysis about Science Journalism reporting on Artificial Intelligence (AI) and Genetically Modified Organisms (GMO) in Vietnam.
News representation of two scientific controversies, artificial intelligence and genetically modified organisms, to examine the content practice of Vietnamese science journalism and its implications for the country’s national development
Are addictions really different? A retrospective recall study of wellbeing among addicts in recovery
Addicts in recovery (n = 115; 52.2% male) were recruited via snowball sampling on social media signposted by an addiction rehabilitation charity and completed questionnaires about positive and negative affect at age 15 (PANAS X), coping strategies at age 15 (Brief Cope), positive and negative affect currently (PANAS X) and current quality of life (WHOQoL-Bref)
Hybridisation and genetic population structure of Alosa population in United Kingdom
Human-mediated habitat fragmentation has been proposed as the main factor driving hybridization between the sympatric migratory European shads, Alosa alosa and Alosa fallax, and the observed, substantial, decline in A. alosa. In river systems across the British Isles, shad are negatively affected by navigation weirs constructed over the past few hundred years that impede their migration. Consequently, A. alosa is now considered rare, and A. fallax threatened, in the British Isles. Understanding the impact of human disturbances on hybridization holds an important role for prioritizing both settings conservation guidelines and river restoration projects. In this study, five British populations were genotyped using twenty-four microsatellite loci, in order to measure the extent of hybridisation between A. alosa and A. fallax. Our results revealed a high level of hybridisation in British shad populations, except for one that spawns in Poole Bay where only pure A. fallax individuals were found. The extent of hybridisation varied across the rivers from 31.8% to 53.3% in the River Severn and Solway Firth, respectively. Pure A. alosa individuals were identified only in the River Tamar and Solway Firth. Overall, the results reveal that whilst genetic introgression between European Alosa spp. remains an issue for their genetic integrity, both species remain present in British waters
'Hybrid Modelling of Heterogeneous Volumetric Objects' by Alexander Tereshin (2020), implementations
This project was dedidcated to the construction of the hybrid representation for the heterogeneous objects. The proposed hybrid representation is based on the combination of the Function Representation with one of the following distance fiedls, namely Signed Distance Fields, Adaptively Sampled Distance Fields and Interior Distance fields. The proposed mathematical and algorithmic framework provides a starting point for defining materials and various other attributes in interior of the volumetrioc obejcts using introduced hybrid approach. The generated objects can be static or dynamic with rather complex interior structure
Ageing and executive function decline lead to performance decline in challenging naturalistic road crossing situations
Older adults’ visual attentional skills are declining with age. The decline of these skills can lead to difficulties in day to day activities such as throwing or catching a ball, cycling, crossing a road, or even maintaining stability when walking. Alongside this, older adults are among the most vulnerable groups in road crossing situations, with older adults accounting for almost 50% of road crossing fatalities
in the EU. A link has been suggested between visual attentional control skills and the vulnerability of older adults to pedestrian accidents but little has been done to investigate this link. I used a virtual reality set-up in order to test scenarios of varying complexity. I also tracked the participants’ eye movements across a wide field of view (180°). My results showed that older adults were able in
simple situations to make safe crossing decisions and they chose larger gaps between vehicles than younger adults. In more complex situations such as when cars travel faster, older adults made more risky crossing decisions
Responses to an online questionnaire on technology enhanced learning (TEL) in UK Higher Education Institutions
The questionnaire was part of a research project that aimed to map and explore the technology enhanced learning (TEL) approaches that are in use in the international higher education sector. Our interest was based on a TEL Toolkit that we developed earlier this year. This questionnaire represented the first of a two stage, mixed methods study that ran between December 2016 and February 2017.
The purpose of this questionnaire was to capture institutional approaches to TEL. The questionnaire was therefore aimed at learning technologists and other staff members responsible for the development, promotion and facilitation of TEL digital tools and strategies across the whole institution.
The questionnaire was divided into four sections and comprised 22 questions. It began with questions about tools offered by institutions, then asked about the reasoning behind choosing these tools, the support given to staff and students using the tools, and ended with a few questions about the participant which have been removed from this dataset
Procedural Generation of Features for Volumetric Terrains using a Rule-Based Approach Dataset
Code files for generation of data used in the EngD Thesis 'Procedural Generation of Features for Volumetric Terrains using a Rule-Based Approach
China University-Industry Collaboration Survey (2019)
This study focused on the collaboration between firms and universities, trying to explore how does this collaboration create innovation for firms, as well as how does it improve the performance of firms. It contains information of firms in general performance, collaboration with universities and innovation activities
Anti-Fascist Autobiography (1930-1936)
This document introduces the anti-fascist writers who authored the five case-study autobiographers that molded the arguments, claims, and conclusions presented within this thesis. The case studies that were used for this research are as follows, One Bloke: A Manchester Man’s Tale of Two Decades by Paul Graney and Barry Seddon, Out of the Ghetto: My Youth in the East End: Communism and Fascism, 1913-1939 by Joe Jacobs, Unfinished Journey by Aubrey Morris, Our Flag Stays Red by Phil Piratin and John Callow, and Time Will Tell by Yvonne Kapp
Data journalism practises in Gulf Cooperation Council (GCC) states - content analysis
The datasets contain the content analysis of the use of data journalism content in some of Gulf states countries news outlet.
This study examined data journalism practises in four Gulf Cooperation Council (GCC) member states situated in the Middle East: Saudi Arabia, the United Arab Emirates (UAE), Oman and Bahrain. Though there have been several pieces of research regarding the emergence of data journalism across the globe, certain regions have remained unexamined, such as the Middle East. The absence of these regions from data journalism literature has resulted in a great demand to investigate data journalism practises outside Western countries (Fink and Anderson 2014; Stalph and Borges-Rey 2018; Appelgren, Lindén and van Dalen 2019), which this thesis was designed to address. In order to analyse data journalism practises in these countries, the study was designed in two phases to cover observed forms and practices. The first phase evaluated forms of data journalism in the region by conducting a content analysis of data journalism stories from several news outlets. Phase two sought to understand the practices underpinning data journalism in these GCC countries to understand the characteristics that have emerged in the region. This was done through conducting a semi-structured interview with data journalists and/or the staff who were responsible for producing data journalism content. Findings reveal that the data journalism content in the GCC tended to lack depth and rigour; this was indicted by the dominance of soft news content and the reliance on secondary data. However, it is worth noting that the purposes of the content analysis were to draw a picture of the data journalism content in the region, in order contextualise and inform the second phase of this research. Interviews with data journalists and/or the staff who were responsible for producing data journalism content, revealed five types of challenges that face the data journalism practice in the GCC newsrooms. First, challenges regarding the journalistic role and newsrooms workflows. Second, challenges regarding data and its access related to data quality and usability. Third, institutional and governmental challenges. Last, challenges caused by economic pressure. In terms of data journalism practices, the research defined four taxonomies of data journalism practices in the studied newsrooms. The first taxonomy is data analyst-driven content (Makkah), the second is data analyst/designer driven content (Shabiba), the third is journalist-driven content (Alroeya) and the final taxonomy is external/internal content (Alwatan)