Queensland University of Technology

About: Queensland University of Technology is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.

Workplace sexual harassment 30 years on : a review of the literature

Abstract: Despite its proscription in legal jurisdictions around the world, workplace sexual harassment (SH) continues to be experienced by many women and some men in a variety of organizational settings. The aims of this review article are threefold: first, with a focus on workplace SH as it pertains to management and organizations, to synthesize the accumulated state of knowledge in the field; second, to evaluate this evidence, highlighting competing perspectives; and third, to canvass areas in need of further investigation. Variously ascribed through individual (psychological or legal consciousness) frameworks, sociocultural explanations and organizational perspectives, research consistently demonstrates that, like other forms of sexual violence, individuals who experience workplace SH suffer significant psychological, health- and job-related consequences. Yet they often do not make formal complaints through internal organizational procedures or to outside bodies. Laws, structural reforms and policy initiatives have had some success in raising awareness of the problem and have shaped rules and norms in the employment context. However, there is an imperative to target further workplace actions to effectively prevent and respond to SH.

Long-term outcomes of attention-deficit/hyperactivity disorder and conduct disorder: A systematic review and meta-analysis.

Abstract: Objective Attention-deficit/hyperactivity disorder (ADHD) and conduct disorder (CD) are common externalizing disorders. Despite previous research demonstrating that both are longitudinally associated with adverse outcomes, there have been no systematic reviews examining all of the available evidence linking ADHD and CD with a range of health and psychosocial outcomes. Method Electronic databases (EMBASE, Medline, and PsycINFO) were searched for studies published from 1980 up to March 2015. Published cohort and case-control studies were included if they reported a longitudinal association between ADHD or CD and adverse outcomes with a minimum follow-up of 2 years. Outcomes with sufficient data were pooled in a random effects meta-analysis to give overall odds ratios (ORs) with corresponding 95% CIs. Results Of the 278 studies assessed, 114 met inclusion criteria and 98 were used in subsequent meta-analyses. ADHD was associated with adverse outcomes including academic achievement (e.g. failure to complete high school; odds ratio [OR] = 3.7, 95% CIs 2.0−7.0), other mental and substance use disorders (e.g. depression; OR = 2.3, 1.5−3.7), criminality (e.g. arrest; OR = 2.4, 1.5−3.8), and employment (e.g., unemployment; OR = 2.0, 1.0−3.9). CD was associated with outcomes relating to academic achievement (e.g. failure to complete high school; OR = 2.7, 1.5−4.7), other mental and substance use disorders (e.g., illicit drug use; OR = 2.1, 1.7−2.6), and criminality (e.g. violence; OR = 3.5, 2.3−5.3). Conclusion This study demonstrated that ADHD and CD are associated with disability beyond immediate health loss. Although the analyses could not determine the mechanisms behind these longitudinal associations, they demonstrate the importance of addressing ADHD and CD early in life so as to potentially avert a wide range of future adverse outcomes.

Lymphedema After Gynecological Cancer Treatment- Prevalence, Correlates, and Supportive Care Needs

Abstract: BACKGROUND: Few studies have evaluated lymphedema following gynecological cancer. The aim of this research was to establish the prevalence, correlates and supportive care needs of gynecological cancer survivors who develop lymphedema.----- METHODS: In 2004, a population-based cross-sectional mail survey (56% response rate) was completed by 802 gynecological cancer survivors. The questionnaire included demographic questions, a validated, generic supportive care needs measure, and a supplementary, newly-developed, lymphedema needs module.----- RESULTS: Ten percent (95% CI: 8-12%) of participants reported being diagnosed with lymphedema and a further 15% (95% CI: 13-17%) reported undiagnosed ‘symptomatic’ lower limb swelling. Diagnosed lymphedema was more prevalent (36%) amongst vulvar cancer survivors. For cervical cancer survivors, those who had radiotherapy or who had lymph nodes removed had higher odds of developing swelling. For uterine and ovarian cancer survivors, those who had lymph nodes removed or who were overweight or obese had higher odds of developing swelling. Gynecological cancer survivors with lymphedema had higher supportive care needs in the information and symptom management domains compared to those with no swelling.----- CONCLUSIONS: This population-based study provides evidence that lymphedema is a morbidity experienced by a significant proportion of gynecological cancer survivors and that there are considerable levels of associated unmet need. Women at risk of lymphedema would benefit from instructions about early signs and symptoms and provision of referral information.

Effective Pattern Discovery for Text Mining

Abstract: Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase)-based approaches should perform better than the term-based ones, but many experiments do not support this hypothesis. This paper presents an innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. Substantial experiments on RCV1 data collection and TREC topics demonstrate that the proposed solution achieves encouraging performance.