1,035 research outputs found

    An annotated checklist of Tasmanian mosses

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    An annotated checklist of the Tasmanian mosses is presented to clarify the occurrence of taxa within the state. Some recently collected species, for which there are no published records, have been included. Doubtful records and excluded species are listed separately. The Tasmanian moss flora as recognised here includes 361 species

    Assessment of national-level progress towards elements of the Aichi Biodiversity Targets

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    Progress towards the Aichi Targets adopted through the Convention on Biological Diversity has been measured globally via indicators linked to elements of targets (the 20 targets consist of 54 elements), and nationally based on reporting by parties to the convention in the 5th (2010–2014) and 6th (2014–2018) National Reports. Here we used selected indicators that are readily available for each country to score national level progress (‘moving towards the target’, ‘little or no progress’, or ‘moving away from target’) for 11 elements of eight Aichi Targets (1, 4, 5, 7, 11, 12, 19, 20). Across the selected indicators, elements, and countries for which data were available, in 24.2% of cases countries were moving towards the elements, for 22.3% they were moving away, and for 53.5% there was little or no progress. This overall level of progress is similar to progress to targets as reported in the 5th and 6th National Reports. National progress to three of the 11 elements was positively correlated with progress to targets reported in the 5th National Reports, while progress to none of the elements was correlated with progress reported in the 6th National Reports. Progress to many of the elements considered was positively correlated with better governance, and to a lesser extent GDP per capita, population density and urbanisation. We suggest that post-2020 biodiversity targets should be designed taking greater account of their measurability, and will require improved biodiversity monitoring, both of which would facilitate more effective assessment of progress and enable more insightful policy responses

    Relating characteristics of global biodiversity targets to reported progress

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    To inform governmental discussions on the nature of a revised Strategic Plan for Biodiversity of the Convention on Biological Diversity (CBD), we reviewed the relevant literature and assessed the framing of the 20 Aichi Biodiversity Targets in the current strategic plan. We asked international experts from nongovernmental organizations, academia, government agencies, international organizations, research institutes, and the CBD to score the Aichi Targets and their constituent elements against a set of specific, measurable, ambitious, realistic, unambiguous, scalable, and comprehensive criteria (SMART based, excluding time bound because all targets are bound to 2015 or 2020). We then investigated the relationship between these expert scores and reported progress toward the target elements by using the findings from 2 global progress assessments (Global Biodiversity Outlook and the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services). We analyzed the data with ordinal logistic regressions. We found significant positive relationships (p < 0.05) between progress and the extent to which the target elements were perceived to be measurable, realistic, unambiguous, and scalable. There was some evidence of a relationship between progress and specificity of the target elements, but no relationship between progress and ambition. We are the first to show associations between progress and the extent to which the Aichi Targets meet certain SMART criteria. As negotiations around the post‐2020 biodiversity framework proceed, decision makers should strive to ensure that new or revised targets are effectively structured and clearly worded to allow the translation of targets into actionable policies that can be successfully implemented nationally, regionally, and globally

    The challenge of antimicrobial resistance: What economics can contribute

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    BACKGROUND: Antimicrobial resistance (AMR) is increasing, driven by widespread antibiotic use. The wide availability of effective antibiotics is under threat, jeopardizing modern health care. Forecasts of the economic costs are similar to those of a 2°C rise in global average surface temperature, above preindustrial levels. AMR is becoming an urgent priority for policy-makers, and pressure is mounting to secure international commitments to tackle the problem. // ADVANCES: Estimating the value of interventions to reduce antibiotic use requires predictions of future levels of antibiotic resistance. However, modeling the trajectory of antibiotic resistance, and how marginal changes in antibiotic consumption contribute to resistance, is complex. The challenge of estimating the resulting impact on health and the economy is similarly daunting. As with the cost of climate change, estimates of total AMR costs are fraught with uncertainty and may be far too low. Much of the uncertainty arises from the complexity of estimating the cost of changes in overall resistance levels. This cost depends on various factors: which drug and pathogen are involved, the mechanism of antibiotic resistance, the prevalence of that pathogen, the types of infections it causes and their level of transmissibility, the health burden of those infections, and whether alternative treatments are available. Effective new antibiotics are urgently needed. However, without government intervention, R&D for antibiotics is rarely profitable, and most major pharmaceutical companies have left the field. New ways are needed to make antibiotic development profitable, decoupling profits from volumes sold. // OUTLOOK: Analogies can be drawn between climate change and AMR, both of which have been described as a global “tragedy of the commons.” There is some consensus that we should treat carbon emissions reduction as an insurance policy against the possibility of a catastrophic climate outcome—and avoid waiting for a definitive optimum-abatement policy. A similar paradigm shift is needed to incentivize both the introduction and valuation of interventions to reduce antibiotic use and R&D of new antibiotics. Rather than taxing the price and letting the market dictate the quantity of antibiotics supplied, an alternative may be to establish a regulatory body that issues prescribers tradable permits and to allow the market to determine the price. Such an approach could create a predictable revenue stream through more-foreseeable licensing fees for important antibiotics by decoupling the return on investment from the volume used. Approaches such as this could incentivize industry to develop new antibiotics for which there would otherwise be too small a market to provide a sufficient return on investment. Reducing inappropriate antibiotic use while expanding essential access is a difficult challenge, especially in low- and middle-income countries. However, policy-makers and philanthropists are alert to the importance of AMR and increasingly are making substantial research funds available, with much of these funds devoted to the social sciences. We need economists, across many different fields, to engage with this pressing global problem

    Violent Recidivism: A Long-Time Follow-Up Study of Mentally Disordered Offenders

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    Background: In this prospective study, mentally disordered perpetrators of severe violent and/or sexual crimes were followed through official registers for 59 (range 8 to 73) months. The relapse rate in criminality was assessed, compared between offenders sentenced to prison versus forensic psychiatric care, and the predictive ability of various risk factors (criminological, clinical, and of structured assessment instruments) was investigated. Method: One hundred perpetrators were consecutively assessed between 1998 and 2001 by a clinical battery of established instruments covering DSM-IV diagnoses, psychosocial background factors, and structured assessment instruments (HCR-20, PCL-R, and life-time aggression (LHA)). Follow-up data was collected from official registers for: (i) recidivistic crimes, (ii) crimes during ongoing sanction. Results: Twenty subjects relapsed in violent criminality during ongoing sanctions (n = 6) or after discharge/parole (n = 14). Individuals in forensic psychiatric care spent significantly more time at liberty after discharge compared to those in prison, but showed significantly fewer relapses. Criminological (age at first conviction), and clinical (conduct disorder and substance abuse/dependence) risk factors, as well as scores on structured assessment instruments, were moderately associated with violent recidivism. Logistic regression analyses showed that the predictive ability of criminological risk factors versus clinical risk factors combined with scores from assessment instruments was comparable, with each set of variables managing to correctly classify about 80% of all individuals, but the only predictors that remained significant in multiple models were criminological (age at first conviction, and a history of substance abuse among primary relatives). Conclusions: Only one in five relapsed into serious criminality, with significantly more relapses among subjects sentenced to prison as compared to forensic psychiatric care. Criminological risk factors tended to be the best predictors of violent relapses, while few synergies were seen when the risk factors were combined. Overall, the predictive validity of common risk factors for violent criminality was rather weak

    Evidence-based effect size estimation:An illustration using the case of acupuncture for cancer-related fatigue

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    <p>Abstract</p> <p>Background</p> <p>Estimating a realistic effect size is an important issue in the planning of clinical studies of complementary and alternative medicine therapies. When a minimally important difference is not available, researchers may estimate effect size using the published literature. This evidence-based effect size estimation may be used to produce a range of empirically-informed effect size and consequent sample size estimates. We provide an illustration of deriving plausible effect size ranges for a study of acupuncture in the relief of post-chemotherapy fatigue in breast cancer patients.</p> <p>Methods</p> <p>A PubMed search identified three uncontrolled studies reporting the effect of acupuncture in relieving fatigue. A separate search identified five randomized controlled trials (RCTs) with a wait-list control of breast cancer patients receiving standard care that reported data on fatigue. We use these published data to produce best, average, and worst-case effect size estimates and related sample size estimates for a trial of acupuncture in the relief of cancer-related fatigue relative to a wait-list control receiving standard care.</p> <p>Results</p> <p>Use of evidence-based effect size estimation to calculate sample size requirements for a study of acupuncture in relieving fatigue in breast cancer survivors relative to a wait-list control receiving standard care suggests that an adequately-powered phase III randomized controlled trial comprised of two arms would require at least 101 subjects (52 per arm) if a strong effect is assumed for acupuncture and 235 (118 per arm) if a moderate effect is assumed.</p> <p>Conclusion</p> <p>Evidence-based effect size estimation helps justify assumptions in light of empirical evidence and can lead to more realistic sample size calculations, an outcome that would be of great benefit for the field of complementary and alternative medicine.</p

    Mental health problems in youths committed to juvenile institutions: prevalences and treatment needs

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    Many international studies show that adolescents in coercive institutional care display high prevalences of mental disorders, especially in the form of disruptive behavior disorders [including attention-deficit/hyperactivity disorder (AD/HD), oppositional defiant disorder, and conduct disorder], anxiety disorders, and mood disorders. High degrees of overlap across mental disorders have also been reported. In addition, institutionalized adolescents are often traumatized. Despite this well-documented psychiatric morbidity, the mental health care needs of detained adolescents are often overlooked. The main objective of this study is to assess prevalences of psychiatric disorders, results of intelligence tests, and previous contacts with child and adolescent psychiatric services among adolescents in institutional care. DSM-IV diagnoses, mental health contacts, substance abuse, neurocognitive abilities, and school performance were registered in 100 adolescents (92 boys, 8 girls) aged 12–19 years (mean age 16.0; SD ± 1.5) consecutively committed to Swedish juvenile institutions between 2004 and 2007. At least one psychiatric disorder was diagnosed in 73% of the subjects: 48% met DSM-IV diagnostic criteria for AD/HD, 17% for an autism spectrum disorder, and 10% for a mental retardation. The collapsed prevalence for psychiatric disorders requiring specialist attention was 63%. Our data indicate that systematic diagnostic procedures are crucial in the treatment planning for institutionalized adolescents. Adequate treatment strategies need to be designed and implemented to meet the extensive mental health care needs of this vulnerable population

    Latin American immigrants in Indianapolis: Perceptions of prejudice and discrimination

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    The article focuses on immigrants’ interactions with the Indiana natives, with emphasis in the city of Indianapolis and its suburbs. More specifically, this study aims at providing an understanding of the experiences of Latin American immigrants with special attention to perceptions of prejudice and discrimination and to feelings of social exclusion. A substantial proportion of Latin American immigrants interviewed indicated that they considered Indiana natives to be prejudiced and that they had personally experienced discrimination. The study reveals specific examples of discrimination experienced by the immigrants at the work place, in housing, in stores, restaurants and by various service providers. The results of the study demonstrate the relevance of the normative and power resource theories to explain prejudice and discrimination
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