3830 research outputs found
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Intergrating information extraction and graph analytics to investigate influential enties in a corpus
No full textThe sheer rate at which data is generated effectively renders manual information extraction inefficient. Further, the rate and size of the data that is produced easily lead to information overload. However, the advances in Artificial Intelligence technologies, especially Natural Language Processing, make accurate automatic extraction possible. In order to handle this ever-evolving data, knowledge graphs offer a practical solution because they can handle data and its relationships. This research aims to investigate the most influential entities from a corpus by combining information extraction and graph analytics, with the BioRED dataset as the use case data. A custom SpaCy NER module was trained to extract entities from the documents and achieved an F1 score of 75.9188%. From the resulting knowledge graph, with the aid of graph data science centrality algorithms, the finding of the study indicates “GDM” as the most influential entity
Painting covid away: Artistic creativity and mental health amongst female visual artists during the pandemic
No full textThe pandemic has resulted in increased levels of depression and anxiety worldwide. There is conflicting research on the relationship between creativity and mental health. Research exploring the experiences of female visual artists is limited. This study explores the experiences of artistic creativity and mental health amongst female visual artists specialising in the discipline of painting during the pandemic. Six female visual artists participated in semi – structured interviews. Thematic Analysis of data revealed 6 key themes: power of art, gift of time, blossoming of creativity, positive life changes, environmental factors and loss of opportunities. Findings indicate that creativity had a therapeutical effect by facilitating escape from negativity, maintaining positive mindset, triggering positive feelings and shifting existential meaning. Time gained during the pandemic was a catalyst for creative flourishing. Further research is required to explore experiences of creativity and mental health amongst artists with diagnosed mental illness during the pandemic
Dublin City Library users’ awareness and perceptions of public library services
No full textIrish public libraries have changed drastically in the past 25 years. Guided by a series of national public library strategies, Irish library authorities joined within the national consortium of Libraries Ireland to provide linked services throughout the country. The linked system and its facilities receive a lot of use and focus by library authorities but have not featured in much academic research since their respective launches.
To address this gap in research this study was designed to measure levels of awareness and perceptions of recent service developments locally and nationally. This was completed with a questionnaire aimed at Dublin City Library users. The survey found that active library users are more likely to be aware of national services than non-users. Local services from Dublin City Libraries could be promoted more to users as awareness levels were much lower than for national services. Despite lower awareness, all services included were positively perceived by respondents, though future research could investigate public reception on a deeper level
Exploring the role of religiousness/spirituality plays in the lives of Irish college students
No full textThe study investigated how religiousness and spirituality affects Irish college students, mental health, life satisfaction and academic self-efficacy. The eighty-five participants had to fill out an online survey made up of psychological questionnaires to assess the study's variables. The study found that the subscales of religiousness/spirituality cumulatively affected depression and life satisfaction but not anxiety, stress, and academic self-efficacy. It was found that only the religious/spiritual coping subscale was a significant predictor of depression. Private religious practices, forgiveness and religious/spiritual coping subscales were significant predictors of life satisfaction. Males reported higher levels of religious support, religious/spiritual coping and engaged in more private religious practices. The study suggests that religiousness/spirituality has a mixed influence on the lives of Irish college students. The study can be applied by mental health professionals and the higher education sector. For more concrete conclusions, much more future research is needed. Limitations, future directions, and implications are discussed
Can transformational leadership through the lens of job demand- resource theory positively impact employee engagement in a large organisation within the FMCG Industry?
No full textThis purpose of this study is to investigate the relationship between transformational leadership when views through the lens of Job- Demands Resources Theory and employee engagement withinthe Irish Fast-Moving Consumer Goods (FMCG) industry. "Transformational leadership was selected specifically in the context of the Irish FMCG industry and the relationship and influence that leaders utilizing this approach have, to ensure that employees within these organizations are deeply engaged in their roles and committed to the company's vision."Through a combination of qualitative interviews with leaders and followers from two distinct organizations, and an extensive review of existing literature, the study reveals the nuances of how transformational leadership, when viewed through the lens of the Job Demands-Resources (JD-R) theory, can influence employee engagement. The data returned was rich and fulsome with strong agreement across the stakeholders as to the positive impact of Transformational Leadership on employee engagement within the Irish FMCG Industry. A series of conclusions were drawn from the data and recommendations are suggested in Chapter 5
Planning for the future: Retaining talent through succession planning, a critical analysis of two hotel brands in Zimbabwe.
No full textThis paper gives a critical analysis of the effectiveness of succession planning practices in retaining talented employees in Zimbabwe’s two hotel brands. Theories guiding the study were Homan’s (1961) social exchange theory and Vroom’s (1964) expectancy theory. The main objectives of the study were to explore the current succession planning practices, investigate how effective they are in retaining talent, identify challenges and recommend strategies to retain talented employees. According to the literature reviewed, succession planning has a significant impact on employee retention. The study adopted a qualitative approach and structured interviews were conducted to collect data. Through thematic analysis, four main themes addressing research questions and objectives emerged. Findings revealed how potential talent was identified and nurtured. Major challenges included, subjective performance evaluations, failure to embrace succession planning, financial constraints, and skills flight. It was established that organisations require efficient succession planning programmes to retain their valuable skills
A Machine Learning Approach to Identifying Malicious DNS Requests through Server Log Analysis
No full textIn the dynamic landscape of digital connectivity, the Domain Name System (DNS) plays a significant role
in internet infrastructure, enabling the translation of human readable domain names into machine
understandable IP addresses. Unfortunately, this critical service also presents a vulnerable entry point for
cyber attackers to execute a range of malicious activities including phishing, malware distribution, and
domain hijacking. Traditional manual analysis of DNS traffic struggles to cope with the volume and
complexity of modern cyber threats. To address this challenge, a comprehensive approach is proposed
that harnesses the capabilities of machine learning for the identification of malicious DNS requests
through server log analysis. The primary objective of this research is to design, implement, and evaluate
a robust machine learning framework capable of distinguishing between benign and malicious DNS
requests. Using a diverse dataset of server logs, appropriate preprocessing techniques are employed to
cleanse and transform the raw data into a suitable format for analysis. The approach focuses on the
identification of relevant features and the engineering of domain-specific attributes that capture the
behavior of both legitimate and malicious requests. Through a comprehensive evaluation process, a range
of machine learning algorithms suitable for classification tasks are explored. The chosen models undergo
critical assessment using established evaluation metrics to quantify their performance in differentiating
between malicious and benign DNS requests
Insights into the use of Buy Now Pay Later services and mental well-being
No full textThis study investigated anxiety, stress, and coping levels of Irish and international participants using Buy Now Pay Later (BNPL) services. Materialism and pain of paying were also analysed to identify any influence over usage of BNPL services. Participants consisted of 109 (n=106), 83 females (n=83) and 25 males (n=25). An online questionnaire measured anxiety and stress through DASS-21. Coping was measured through strategic coping and avoidance coping subscales of Proactive Coping Inventory. Materialism was measured through Material Values Scale SF and pain of paying was measured through Tightwads-spendthrift scale. Kruskal-Wallis analyses revealed no significant differences in anxiety, stress, or coping levels between BNPL and other purchase finance users. Materialism and pain of paying were found not to influence BNPL choice. Other vulnerable populations should be examined for mental health issues from BNPL usage given current trends
What is prevalent in youth mental health from experiences of frontline workers in Ireland
No full textYouth experience a multitude of struggles in Ireland, these struggles differing from age groups but there is a vast literature on the multitude of areas that children and adolescents are affected by. This Qualitative study aimed to find out what these struggles are considering the pressures on the Mental Health System. It did this by interviewing 7 volunteers at ChildLine in interviews ranging from 7 to 45 minutes, Childline was chosen due to the lack of research on helplines role in supporting youth in Ireland. There were three research questions; 1) What are the factors negatively influencing children’s Mental Health? 2) What are the factors negatively influencing adolescent Mental Health? 3) How influential is covid 19 in youth psyche post lockdowns? Interviews found 4 themes comprising of (1) Struggles with Mental Health, (2) Relationships, (3) Abuse and (4) Services. Implications of research are explored in the discussion
A Critical Analysis of Targeted Advertising on Social Media in the Irish Market
No full textThis study aims to analyze the impact of targeted on social media platforms in the Irish Market. A quantitative approach has been chosen to focus on the user’s experience of targeted advertising on social media: if it helps them buying products, how do they feel about targeted ads, and if they are concerned about their data privacy regarding the social media algorithms.
A questionnaire was sent to 97 participants. The results showed that personalized ads can lead social media users to purchase products or brands they didn’t know before, and they would recommend to a friend. The results also highlighted that social media users care about their data and the use of personal data to tailor personalized ads on social media.
In conclusion, using personalized ads can lead companies to increase their brand awareness, engagement, purchase, and brand loyalty from customers