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    Social media and adolescents: a double-edged sword

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    Social media use has become increasingly prevalent in young people’s lives. It impacts adolescents’ lives both positively and negatively. Therapists must be aware of its impacts, both positive and negative, and be familiar with social media in order to fully understand the adolescent’s world. Therapists should both support and guide the adolescent in their social media use. This theoretical dissertation assesses what the key positive and negative impacts of social media are on the adolescent, and the impact they have on the therapeutic relationship, analysing key literature around the topic from the last ten years. It evaluates the therapist’s role in helping the adolescent to navigate their use of social media and building an awareness around the effects that social media has on their life

    An exploration of the role of psychotherapy for fibromyalgia syndrome, in the context of underlying trauma and insecure attachment

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    Fibromyalgia Syndrome (FMS) is the most common cause of chronic, widespread pain in Europe and North America (Ungureanu, 2011). FMS is becoming more widely recognised in the medical community; however, the diagnosis remains vague and non-specific. The organic causes of this condition remain unclear. There appears to be a complex interplay between the different psychological and physical features of FMS but there is evidence of a high prevalence of psychiatric comorbidities in FMS, including post-traumatic stress disorder (PTSD) (Ehlert, 2001). Trauma and dissociation tend to be interrelated, and many pathological FMS features resemble PTSD (Peres et al, 2009). Individuals with PTSD symptoms often present with concurrent pain, and vice versa (Roy-Byrne et al., 2004). Over the past decade, PTSD treatment has become more sophisticated, resulting in improvement in symptomatology and patient quality of life (Peres, 2009). This study aims to explore the commonality between trauma and FMS and the common pathology of each, in order to identify overlapping therapeutic options which may be beneficial for FMS sufferers. An insecure attachment model may contribute to the dysfunctional regulation of stress and emotion and may be a risk factor for the development of chronic pain syndromes like FMS (Kowal et al., 2015; Griffin & Bartholomew, 2005). The mechanisms by which these maladaptive processes are interconnected are not well understood. This paper attempts to draw these links and proffer some clarity on these associations. The co-occurrence of trauma and FMS, and the overlap between trauma and insecure attachment, is the focus of this study (Cohen et al, 2002; Pall,2001) The article presents an overview of these overlapping relationships with the aim to increase the understanding of this complex disorder. The final part of this dissertation considers the role of psychotherapy as a viable treatment option for FMS. The connections drawn between FMS and trauma, as well as insecure attachment, may help us to conceptualise the painful core of FMS and approach a therapeutic technique which will provide greater relief from the burden of illness. Ultimately, we must treat this complex condition by respecting that no simplistic approach exists to its management and treatment

    Talent retention through effective performance management and employee engagement practices in company X

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    In this paper, the researcher used a relational approach to investigate how employee perceptions of performance management practices, their relationships with two types of managers—line and senior managers—are related to employees’ job engagement and their intention to stay or quit. Based on an employee survey (n = 86) in a multinational organization operating in the Republic of Ireland, the study found that the employees’ perceptions of performance management practices was positively related to the both outcome variables. The study also found that relationships with senior managers and line management were positively related to these outcome variables. In addition, this study found that employee engagement was observed to be stronger among newer employees

    Relationship between trust, burnout and aspirations: Predictors and gender differences

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    The aims of the current study were to investigate: 1) relationship between trust to managers and burnout; 2) gender differences in trust, burnout and aspirations; 3) if age, years work in organisation, years worked in current position, aspirations are predictors of trust and burnout. The participants were general employed population (n=92) who were provided with the survey link on social media websites. The questionnaire comprised 3 measures: Trust Questionnaire (Tzafrir & Dolan, 2004), The Copenhagen Burnout Inventory (Kristensen et al., 2005) and Aspirations Index (Kasser & Ryan, 1993,1996). The negative significant relationship between trust and burnout was found. However, there were no gender differences in levels of trust, burnout and aspirations found, with the exception of “image” subscale of extrinsic aspirations - females reported importance of image higher than did males. There was also no relationship found between age, years worked in company/current position, aspirations and trust and burnout

    Information literacy in the context of public library business services in the Republic of Ireland

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    Efforts to extend Information literacy (IL) to the business workplace is not well explored. The research aims to understand how Public Librarians working in business services in the Republic of Ireland perceive IL. The method chosen was an online questionnaire of structured open and closed questions distributed using an online survey tool. 30 public libraries representing all local authorities were included. The findings show that the librarians related business IL to their own workplace. Their perceptions of the general meaning and benefit of IL to library users is in keeping with literature. Support is required however from strategic and local library leadership and from professional librarian bodies if Public Librarians are to increase their advocacy for IL in business. The study builds on existing literature and provides some new perspectives on IL frameworks and on IL in Ireland

    The relationship between academic achievement motivation, active procrastination, anxiety and defensive pessimism in college students

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    The aim of this research is to investigate negative constructs related to academic performance employing scales that are able to recognize their adaptive functions. A questionnaire-based quantitative study to assess relationship between academic achievement motivation, active procrastination, defensive pessimism and anxiety in college students was implemented. Correlation analysis was conducted between criterion and outcome variables. Where significant values were found, explanatory variables were entered into regression. The T-tests were conducted to compare gender differences and motivation scores for full-time and part time students with regards to external motivation. Full-time students shown to be more extrinsically motivated when compared with part-time students as well as female students when compared with male colleagues. The results obtained indicated significant association between active procrastination with internal motivation and confidence. Contrary to hypothesis, no significant relationship has been found between anxiety and active procrastination. The results supported the hypothesis that there is a positive and significant association between defensive pessimism and anxiety

    Dementia in Intellectual disability: effects of education, stress, approaches to dementia & challenging behaviour, incorporating recommendations

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    Dementia in individuals with an intellectual disability is a recent phenomenon due to advancements in medical intervention enhancing the lifespan of this cohort. A mixed methods design (n=109) was employed to establish if there was a relationship between the variables dementia training, occupational stress, approaches to dementia and challenging behaviour in the quantitative component. Further recommendations of improvements to current service provisions were sought in a qualitative component (n=5). The majority of non-parametric tests conducted to test the hypotheses, were found to be not significant. A Chi-square test found significance in the training levels of those employed in this area. Spearman’s Rho test also found significance in role ambiguity and approaches to dementia care. Thematic analysis yielded recommendations for future service provision established across the dataset. Recommendations for future research to collect further demographic data and establish a normally distributed sample are discussed along with dissemination of the current study

    Key differences in online clothes shopping behaviour between Generation Z and Generation Y in Ireland

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    The importance of understanding shopping behaviour of consumers cannot be underestimated. The purpose of this study is to identify the main determinants and motivational factors that differentiate Generation Z (Age:18-24) and Generation Y (Age:25-34) consumer groups in Ireland and how this influences their behaviour when shopping for clothes with online retailers. A descriptive research design along with deductive positivism philosophy was applied. Primary data was collected through an online survey of 87 consumers who have experience in purchasing clothes online. Findings show that the most pronounced differences between Generations Z and Y relate to hedonic motivation of Generation Z and utilitarian motivation of Generation Y along with preferences of social media platforms, mobile retailer apps, discounts, uniqueness of clothes and tendencies to purchase from one or more brands. These findings are important for online fashion retailers to understand as these generations represent the largest consumer groups who purchase clothes online

    The lived experience of sexual migration among Brazilian transgender people in Ireland

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    Previous research highlighted that, due to the field’s infancy, there was a need for research to further explore the lives of the transgender migrant cohort in Ireland. This study aimed to gain an in-depth understanding of the lived experience of Brazilian transgender people in Ireland, whose migration was motivated by sexual identity. It sought to explore the challenges and benefits facing transgenders and their sexual migration narratives. Qualitative research was carried out with five open-ended semi-structured interviews. The data was analysed through NVivo and four themes were generated: (a) Sexual Migration, (b) Importance of Respect and Support, (c) Outcomes of Migrating, and (d) Psychosocial Stressors. Participants reported a need to escape Brazil to avoid violence due to their gender identity. A feeling of being accepted and respected in Ireland was reported. The themes generated and their implications emphasise a need for appropriate access to social integration, employment and healthcare services

    Heart diseases prediction using hybrid ensemble learning

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    Heart disease usually refers to the conditions like narrowed or blocked blood vessels which will result in heart failure, pain due to reduced blood flow to the heart (angina) or stroke. With the rampant increase within the heart stroke rates at juvenile ages, we'd like to place a system in situ to be ready to observe the symptoms of a heart stroke at associate degree early stage and so forestall it. it's impractical for a standard man to oftentimes endure expensive tests just like the graph and so there must be a system in situ that is handy and at an equivalent time reliable, in predicting the possibilities of a cardiovascular diseases. So, we tend to propose to develop associate degree application which may predict the vulnerability of a cardiovascular diseases given basic symptoms like age, sex, pulse etc. The machine learning algorithms or models has evidenced to be the foremost correct and reliable formula and hence employed in the planned system. The predict of heart disease is done in three phases: feature selection process in this process we will automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. The second phase is applying the machine learning algorithms which are AdaBoost, XGBoost and Stacking in which the data will be trained and tested. The third and the last phase is the User interface in which the user will enter his details and then the machine learning models will predict that the user will have heart diseases in future or not

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