12560 research outputs found
Sort by
“It looks all the same to me”:cross-index training for long-term financial series prediction
No full textWe investigate a number of Artificial Neural Network architectures (well-known and more “exotic”) in application to the long-term financial time-series forecasts of indexes on different global markets. The particular area of interest of this research is to examine the correlation of these indexes’ behaviour in terms of Machine Learning algorithms cross-training. Would training an algorithm on an index from one global market produce similar or even better accuracy when such a model is applied for predicting another index from a different market? The demonstrated predominately positive answer to this question is another argument in favour of the long-debated Efficient Market Hypothesis of Eugene Fama.</p
Tertiary education students’ perceptions of plagiarism in academic writing
No full textPurpose: This study contributes to the current body of literature on students' understanding of academic misconduct, plagiarism, forms of plagiarism, the reasons they plagiarize, the sanctions imposed by academics for plagiarizing and the methods to address plagiarism in written assessments within the Faculty of Natural Sciences, University of Guyana, which was investigated in 2021. Design/methodology/approach: The research design was descriptive and grounded in the pragmatism paradigm. The methodology employed was quantitative, consisting of the collection of data through an online, self-administered questionnaire-based survey. Findings: The results showed that despite students having a conceptual understanding of academic misconduct and plagiarism, they intentionally and unintentionally plagiarized their written assessments, mainly because of the assessment workload (64.9%), busy schedule (52.8%), not understanding the assessment (46.3%) and not knowing how to correctly cite sources (44.6%). Prevalent forms of plagiarism committed by students included finding synonyms for the author’s language while keeping to the same general structure and meaning of the original work (48%) and neglecting to cite sources, misquote sources or unintentionally paraphrase a source by using similar words, groups of words and/or sentence structure without attribution (42%). Academic sanctions commonly include giving an overall reduced grade, giving a warning and asking the student to redo the plagiarized work. The study showed that students preferred flexible and lenient penalties to address plagiarism and objected to sanctions that may jeopardize their academic progression. Originality/value: An international literature review will demonstrate extensive research on academic misconduct, particularly plagiarism, emphasizing attitudes and perceptions. Despite Artificial Intelligence (AI) technologies and limited software subscriptions, academic misconduct in Guyana is still poorly understood. Therefore, this study adds to the literature by evaluating tertiary education students' perceptions of plagiarism, given the growing concerns and negative repercussions of plagiarism and student use of AI to produce assignments at this university.</p
Supporting health, well-being and promoting inclusivity
No full textThis chapter provides educators with an assessment framework to make sense of the failing student and learner in difficulty, using a comprehensive, robust and holistic approach. Making sense of cause for concern from a welfare as well as a fitness to practice perspective is considered in detail, prior to a consideration of the key skills in action planning and the adoption of communication approaches that promote learner inclusivity.</p
Enabling better carer involvement:a qualitative evaluation of the involvement service belonging to a carers organisation in the United Kingdom
Get PDFBackground: Globally, unpaid carers face economic and societal pressures. Unpaid carers’ support is valued at £132 billion a year in the United Kingdom (UK) alone. However, this care comes at a high cost for the carers themselves. Carers providing round the clock care are more than twice as likely to be in bad health than non-carers. These carers are therefore proportionately more likely to need statutory services such as health care provision. It is critical that carers are better supported to be involved in the shaping, delivery and evaluation of the services they receive. Unfortunately, qualitative evidence on how carer organisations can do this better is scarce. Methods: Working collaboratively with a community-based carers organization, we undertook a qualitative study. Purposive sampling was used to recruit 23 participants. Online, semi-structured, one-to-one interviews were conducted with carers, community organization staff and stakeholders to ascertain their experience and views on the involvement service. Results: Firstly, there are a range of benefits resulting from the involvement service. The carers see the service as an opportunity to connect with other carers and share their views and ideas. Secondly, staff and service providers also reported how involvement gave a platform for carers and was of value in helping them shape needs-led services. Thirdly, we found that barriers to good involvement include the lack of a clearly understood, shared definition of involvement as well as the lack of a diverse pool of carer representatives available for involvement activities. Conclusion: The findings from our study provide important insights into how carers, staff and service stakeholders view barriers and enablers to good involvement. The findings will be of interest to a range of community-based organizations interested in further involving members of their community in shaping the services they receive.</p
The batch primary components transformer and auto-plasticity learning linear units architecture: synthetic image generation case
No full textContext tokenizing, which is popular in Large Language and Foundation Models (LLM, FM), leads to their excessive dimensionality inflation. Traditional Transformer models strive to reduce intractable excessive dimensionality at the among-token attention level, while we propose additional between-dimensions attention mechanism for dimensionality reduction. A novel Transformer-based architecture is presented, which aims at the individual dimension attention and, by doing so, performs the implicit relevant primary components' feature selection in artificial neural networks (ANN). As an additional mechanism allowing adaptive plasticity learning in ANN, a neuron-specific Learning Rectified Linear Unit layer is proposed for further feature selection via weight decay. The performance of the presented layers is tested on the encoder-decoder architecture applied for the synthetic image generation task for the benchmark MNIST data set
Exploring the relationship of cognitive function with and without COVID-19 recovered schizophrenic patients
Get PDFBackground: The Coronavirus disease 2019 (COVID-19) is linked to the deterioration of cognitive function among individuals suffering from schizophrenia. The purpose of this study was to compare the cognitive performance of schizophrenic patients before and after COVID-19. Methods: A longitudinal cohort study involving a sample of 219 individuals diagnosed with schizophrenia was enrolled between June 2022 and May 2023. The participants were split into two groups infected with COVID-19 (n = 165) and not infected with COVID-19 (n = 54). The data were gathered via a questionnaire on demographic characteristics, the Brief Assessment of Cognition in Schizophrenia (BACS), the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS), the Activities of Daily Living (ADL) scale, and the Insomnia Severity Index (ISI). Results: The repeated-measures ANOVA showed that Among patients diagnosed with COVID-19, there was a deterioration in global cognitive function (before COVID-19 = −2.45 vs. after COVID-19 = −3.02, p = 0.007), working memory (before COVID-19 = −2.76 vs. after COVID-19 = −3.34, p < 0.00 1), motor speed (before COVID-19 = −1.64 vs. after COVID-19 = −2.12, p < 0.001), attention and speed of information processing (before COVID-19 = −1.93 vs. after COVID-19 = −1.16, p = 0.008). multi-variable analysis showed that several factors as having a secondary grade of education (β = 0.434), experiencing insomnia (β = 0.411)and the interaction between COVID-19 diagnosis and cognition at baseline (β = 0.796) were significantly associated with cognitive deficits. At the same time, no significant associations were found between global cognition and clinical symptoms, autonomy, or depression (p > 0.05). Conclusion: The COVID-19 pandemic has significantly impacted various cognitive functions, such as verbal memory, working memory, and global cognition. Insomnia has been identified as the predominant determinant of cognitive impairment, alongside the confirmation of a COVID-19 diagnosis. Additional research is imperative to elucidate the diversification of cognitive functionality observed in individuals diagnosed with schizophrenia who have acquired COVID-19.</p
A question of age? applying desistance with children
Get PDFYouth justice in England and Wales has seen the increasing adoption of desistance thinking in recent years. There has been scarce academic debate of this development, despite the desistance evidence base focussing on adult pathways away from crime. This article examines the theorisation and application of desistance thinking with children, centring on the experiences and narratives of four ‘groups’ involved in the formal youth justice system in England and Wales, across two empirical studies. It challenges previous scholarship that denies the relevance of desistance theories to under-18s, arguing for progressive desistance practice that prioritises children’s healthy long-term development
Barrier analysis to improve big data analytics capability of the maritime industry: a mixed-method approach
Get PDFThe maritime industry is facing increasing challenges due to decarbonization requirements, trade disruptions, and geoeconomic fragmentation, such as International Maritime Organization (IMO) sets out clear framework to reach net zero emissions by 2050, Russia-Ukraine war disrupted maritime activities in the Black and Azov seas, and increased trade tensions between the United States and China. To enhance their sustainability, operational efficiency, and competitiveness, maritime organizations are therefore very keen to build big data analytics capability (BDAC). However, various barriers, mean that only a handful are able to do so. We adopt a mixed-method approach to analyze these barriers. Thematic analysis is used to identify five categories of barriers and 16 individual barriers based on empirical data collected from 26 maritime organizations. These are then prioritized using the analytic hierarchy process (AHP), followed by total interpretive structural modelling (TISM) to understand their interrelationships. Finally, cross-impact matrix multiplications applied to classification (MICMAC) is employed to differentiate the role of each barrier based on its driving and dependence power. This paper makes several theoretical contributions. First, China's hierarchical cultural value orientation encourages competition and obedience to rules, resulting in unwillingness to share knowledge, lack of coordination, and lack of error correction mechanisms. These cultural barriers hinder BDAC development. Second, organizational learning category barriers are found to be the most important in impeding BDAC development. This study also raises practitioners' awareness of the need to tackle cultural and organizational learning barriers
The necropolitics of drone bases and use in the African context
Get PDFThis paper critically evaluates the establishment of drone bases and the use of drones in several African countries and territories. Despite the significant financial commitments needed, external forces continue to invest heavily in drone bases and operations across the continent, often promoted for the security of the countries in Africa. Using secondary sources, this paper employs the concept of “necropolitics” to argue that these drone bases, along with the technologies emanating from them – ostensibly for counter-insurgencies or counter-piracy – represent the deployment of “aerial technologies of domination”. It posits that such technologies enable external forces to control the airspaces of several African countries and determine who lives and dies, thereby ensuring their acquiescence and subjugation under aerial colonialism. This paper challenges the prevailing discourse that drone operations primarily serve the interests of those under its surveillance and advocates for the establishment of pan-African security partnerships to guide against aerial colonialism across the countries of Africa
Exploring healthcare professional’s engagements and experiences towards people who use new psychoactive substances in different addiction and mental healthcare services
Get PDFPurpose New psychoactive substance (NPS) use in mental health and addiction health-care services is a common co-morbidity. This paper aims to explore the survey responses with health-care professional’s (HCPs) engagements and experiences towards people who use NPS in five health-care services.Design/methodology/approachA theoretically adapted online survey design explored the engagements and experiences of participants towards people who use NPS across (n = 3) community and (n = 2) rehabilitation mental health and addiction health-care services consisting of (n = 1,027) service users.FindingsA total of 92 participants (of 120 participants) completed the survey and 28 did not. Most (56.33%) reported neutral to poor experiences and engagements and a lack of NPS-related policies, procedures and educational training. Participants (99%) recognised the harmful effects of NPSs and (87%) requested clinical assessment procedures. The participants are unable to identify and manage acute intoxication by NPS, lack knowledge of NPS adverse effects and requested NPS-specific training on drug legislation.Research limitations/implicationsThe sample may not be representative with the broader UK population. The study’s methods are comparable to similar research surrounding NPS in health-care services. Similar studies may advance the findings. Practical implicationsThe implications for practice include NPS awareness trainings, educational updates through seminars and conferences. Participants requested clearer NPS assessment, referral and management processes. Several policy-making and procedural opportunities exist to ensure a better health outcome for people who use NPS.Originality/valueTo the best of the authors’ knowledge, this is the first theoretically adapted survey to explore participant’s engagements and experiences with people who use NPS in addiction and mental health settings
Data sources:
Access Repository Dashboard
Do you manage University of Bedfordshire Repository? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!