1,115 research outputs found

    Helping Junior Lawyers Thrive

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    There has been increased discussion over the past few years about the mental health of lawyers. Most previous studies have researched the extent and causes of psychological distress in law students and lawyers. There has been less attention on also understanding what helps lawyers to thrive and become happy, healthy and ethical members of the legal profession. Our research project, the Transition to Professional Practice Project, has focused on this latter aspect, looking specifically at Australian lawyers in their first year of practice. This can be a difficult and exciting time, but is always a critical period of discovery and change. We were interested to see how newcomers make the transition from student to legal professional and how they develop their professional identity, in the sense of developing their beliefs and practices about what it means to be a lawyer. Lawyers-to-be are often not given opportunities to explore these issues in law school, sometimes resulting in a collision of expectations and reality when first exposed to legal practice

    Listen to Her Heart: Bridging the Gap in Recognizing, Preventing, & Treating ASCVD in Women

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    Atherosclerotic cardiovascular disease (ASCVD) is traditionally considered a male disease, yet it is the leading cause of death in women. This may be associated with the significant lack of research of ASCVD in women, leading to poor recognition, diagnosis, prevention, and treatment. The American Heart Association reports that a majority of women experience prodromal symptoms more than one month before a heart attack or stroke, and these symptoms are often underestimated. This project intends to help address the question: How can earlier detection of ASCVD risk in women reduce missed signs of acute myocardial infarction/stroke and thereby reduce preventable ASCVD hospitalizations? This project also hopes to increase physician and patient awareness of and engagement with the VT Dept. of Health\u27s You First program to provide supplemental heart health screens and services for women

    New conceptual framework for sustainability

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    In 2015 the sustainable development goals (SDGs) and the Paris climate change agreement (COP 21) again drew international attention to the critical global challenges of sustainable development and climate change. For addressing these challenges, an accurate understanding of the complexity and interdependent nature of sustainability is imperative. Within the context of the present development path, this conceptual paper brings clarity to the key issues and actions needed, relevant to the five components of sustainable development. Connected to the key issues and actions required, from a broader and deeper paradigmatic perspective, the framework emphasises the need to shift towards a sustaincentric paradigm, away from the dominant social paradigm

    Autonomous greenhouse gas measurement system for analysis of gas migration on landfill sites

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    This paper describes the design, development and validation of an autonomous gas sensing platform prototype for monitoring of the greenhouse gases, methane (CH4) and carbon dioxide (CO2). The deployment undertaken for validation of the developed prototype monitored landfill gas migration to perimeter borehole wells on a landfill site. Target gas concentrations were captured via infrared gas sensors tuned for each target gas and data reported to an offsite data collection point at 12 hour intervals. This bespoke platform and the accompanying data recording and interface software provide a flexible alternative to the presently employed labor intensive, manual monitoring routines. This successful trial brought about a change in the management of the trial sites gas extraction system

    Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.

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    An observational correlation between a suspected risk factor and an outcome does not necessarily imply that interventions on levels of the risk factor will have a causal impact on the outcome (correlation is not causation). If genetic variants associated with the risk factor are also associated with the outcome, then this increases the plausibility that the risk factor is a causal determinant of the outcome. However, if the genetic variants in the analysis do not have a specific biological link to the risk factor, then causal claims can be spurious. We review the Mendelian randomization paradigm for making causal inferences using genetic variants. We consider monogenic analysis, in which genetic variants are taken from a single gene region, and polygenic analysis, which includes variants from multiple regions. We focus on answering two questions: When can Mendelian randomization be used to make reliable causal inferences, and when can it be used to make relevant causal inferences? Expected final online publication date for the Annual Review of Genomics and Human Genetics Volume 19 is August 31, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates

    Teaching professionalism in legal clinic – what new practitioners say is important

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    Anecdotal evidence suggests new lawyers may struggle as they begin legal practice. Little is known empirically about their actual experiences. This paper provides some insights into what occurs in this transition. It reports on a qualitative study currently underway tracking new lawyers through their first year of practice. Preliminary analysis of data from interviews and from workplace observations suggests clinical legal education can play a significant role in smoothing the transition and helping new lawyers develop their sense of professionalism. into their vocational training year. We track new lawyers in the context of their post-admission practice with a small cohort of recently admitted lawyers interviewed and observed in their day to day practice.We describe what these new lawyers say is important to an effective transition – developing autonomy, learning to deal with uncertainty and finding an accommodation between their developing professional values and those modelled by their firm and colleagues. Clinical programs offer opportunities for an early reflective exposure to these experiences

    Factorial Mendelian randomization: using genetic variants to assess interactions.

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    BACKGROUND: Factorial Mendelian randomization is the use of genetic variants to answer questions about interactions. Although the approach has been used in applied investigations, little methodological advice is available on how to design or perform a factorial Mendelian randomization analysis. Previous analyses have employed a 2 × 2 approach, using dichotomized genetic scores to divide the population into four subgroups as in a factorial randomized trial. METHODS: We describe two distinct contexts for factorial Mendelian randomization: investigating interactions between risk factors, and investigating interactions between pharmacological interventions on risk factors. We propose two-stage least squares methods using all available genetic variants and their interactions as instrumental variables, and using continuous genetic scores as instrumental variables rather than dichotomized scores. We illustrate our methods using data from UK Biobank to investigate the interaction between body mass index and alcohol consumption on systolic blood pressure. RESULTS: Simulated and real data show that efficiency is maximized using the full set of interactions between genetic variants as instruments. In the applied example, between 4- and 10-fold improvement in efficiency is demonstrated over the 2 × 2 approach. Analyses using continuous genetic scores are more efficient than those using dichotomized scores. Efficiency is improved by finding genetic variants that divide the population at a natural break in the distribution of the risk factor, or else divide the population into more equal-sized groups. CONCLUSIONS: Previous factorial Mendelian randomization analyses may have been underpowered. Efficiency can be improved by using all genetic variants and their interactions as instrumental variables, rather than the 2 × 2 approach
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