Tribute to the Late Justice Thurgood Marshall

Tribute

Natural character in Northland: application of the River Values Assessment System (RiVAS)

The River Values Assessment System (RiVAS) was applied by a River Expert Panel to eight resource attributes to assess 57 river units in the Northland Region for their natural character. The method was applied to differentiate rivers of high natural character (n=10), moderate natural character (n=34), and low natural character (n=13). Few data were available, so the Expert Panel relied on their own assessments for most attributes.This work was funded by Northland Regional Council and we gratefully acknowledge their support. Thanks to Northland Regional Council staff who assisted with this assessment: Andrew Macdonald, GIS Officer (GIS support); Dale Hansen, Water Resources/Hydrology Programme Manager (flow regime data); and Gail Townsend, Biosecurity Officer – Aquatic Pests, who reviewed scores for the ‘absence of exotic flora and fauna’ indicator

The use of targeted sequencing and flow cytometry to identify patients with a clinically significant monocytosis

The diagnosis of chronic myelomonocytic leukaemia (CMML) remains centred on morphology, meaning the distinction from a reactive monocytosis is challenging. Mutational analysis and immunophenotyping have been proposed as potential tools for diagnosis however have not been formally assessed in combination. We aimed to investigate the clinical utility of these technologies by performing targeted sequencing, in parallel to current gold standard techniques, on consecutive samples referred for investigation of monocytosis over a 2-year period (n=283). Results were correlated with the morphological diagnosis and objective outcome measures including overall survival (OS) and longitudinal blood counts. Somatic mutations were detected in 79% of patients, being invariably identified in those with a confirmed diagnosis (99%) though also in 57% of patients with non-diagnostic BM features. The OS in non-diagnostic mutated patients was indistinguishable from those with CMML (p=0.118) and significantly worse than unmutated patients (p=0.0002). On multivariate analysis age, ASXL1, CBL, DNMT3A, NRAS & RUNX1 mutations retained significance. Furthermore, the presence of a mutation was associated with a progressive fall in haemoglobin/platelet levels and increasing monocyte counts compared with mutation negative patients. Of note, the immunophenotypic features of non-diagnostic mutated patients were comparable to CMML patients and the presence of aberrant CD56 was highly specific for detecting a mutation. Overall, somatic mutations are detected at high frequency in patients referred with a monocytosis irrespective of diagnosis. In those without a WHO defined diagnosis, the mutation spectrum, immunophenotypic features and OS are indistinguishable from CMML patients and these patients should be managed as such

The Passive Journalist: How sources dominate the local news

This study explores which sources are “making” local news and whether these sources are simply indicating the type of news that appears, or are shaping newspaper coverage. It provides an empirical record of the extent to which sources are able to dominate news coverage from which future trends in local journalism can be measured. The type and number of sources used in 2979 sampled news stories in four West Yorkshire papers, representing the three main proprietors of local newspapers in the United Kingdom, were recorded for one month and revealed the relatively narrow range of routine sources; 76 per cent of articles cited only a single source. The analysis indicates that journalists are relying less on their readers for news, and that stories of little consequence are being elevated to significant positions, or are filling news pages at the expense of more important stories. Additionally, the reliance on a single source means that alternative views and perspectives relevant to the readership are being overlooked. Journalists are becoming more passive, mere processors of one-sided information or bland copy dictated by sources. These trends indicate poor journalistic standards and may be exacerbating declining local newspaper sales

Mathematical modelling for antibiotic resistance control policy: do we know enough?

Background: Antibiotics remain the cornerstone of modern medicine. Yet there exists an inherent dilemma in their use: we are able to prevent harm by administering antibiotic treatment as necessary to both humans and animals, but we must be mindful of limiting the spread of resistance and safeguarding the efficacy of antibiotics for current and future generations. Policies that strike the right balance must be informed by a transparent rationale that relies on a robust evidence base. Main text: One way to generate the evidence base needed to inform policies for managing antibiotic resistance is by using mathematical models. These models can distil the key drivers of the dynamics of resistance transmission from complex infection and evolutionary processes, as well as predict likely responses to policy change in silico. Here, we ask whether we know enough about antibiotic resistance for mathematical modelling to robustly and effectively inform policy. We consider in turn the challenges associated with capturing antibiotic resistance evolution using mathematical models, and with translating mathematical modelling evidence into policy. Conclusions: We suggest that in spite of promising advances, we lack a complete understanding of key principles. From this we advocate for priority areas of future empirical and theoretical research

The Implementation of Recommender Systems for Mental Health Recovery Narratives: Evaluation of Use and Performance

Background:Recommender systems help narrow down a large range of items to a smaller, personalized set. NarraGive is a first-in-field hybrid recommender system for mental health recovery narratives, recommending narratives based on their content and narrator characteristics (using content-based filtering) and on narratives beneficially impacting other similar users (using collaborative filtering). NarraGive is integrated into the Narrative Experiences Online (NEON) intervention, a web application providing access to the NEON Collection of recovery narratives.Objective:This study aims to analyze the 3 recommender system algorithms used in NarraGive to inform future interventions using recommender systems for lived experience narratives.Methods:Using a recently published framework for evaluating recommender systems to structure the analysis, we compared the content-based filtering algorithm and collaborative filtering algorithms by evaluating the accuracy (how close the predicted ratings are to the true ratings), precision (the proportion of the recommended narratives that are relevant), diversity (how diverse the recommended narratives are), coverage (the proportion of all available narratives that can be recommended), and unfairness (whether the algorithms produce less accurate predictions for disadvantaged participants) across gender and ethnicity. We used data from all participants in 2 parallel-group, waitlist control clinical trials of the NEON intervention (NEON trial: N=739; NEON for other [eg, nonpsychosis] mental health problems [NEON-O] trial: N=1023). Both trials included people with self-reported mental health problems who had and had not used statutory mental health services. In addition, NEON trial participants had experienced self-reported psychosis in the previous 5 years. Our evaluation used a database of Likert-scale narrative ratings provided by trial participants in response to validated narrative feedback questions.Results:Participants from the NEON and NEON-O trials provided 2288 and 1896 narrative ratings, respectively. Each rated narrative had a median of 3 ratings and 2 ratings, respectively. For the NEON trial, the content-based filtering algorithm performed better for coverage; the collaborative filtering algorithms performed better for accuracy, diversity, and unfairness across both gender and ethnicity; and neither algorithm performed better for precision. For the NEON-O trial, the content-based filtering algorithm did not perform better on any metric; the collaborative filtering algorithms performed better on accuracy and unfairness across both gender and ethnicity; and neither algorithm performed better for precision, diversity, or coverage.Conclusions:Clinical population may be associated with recommender system performance. Recommender systems are susceptible to a wide range of undesirable biases. Approaches to mitigating these include providing enough initial data for the recommender system (to prevent overfitting), ensuring that items can be accessed outside the recommender system (to prevent a feedback loop between accessed items and recommended items), and encouraging participants to provide feedback on every narrative they interact with (to prevent participants from only providing feedback when they have strong opinions)

Understanding space weather to shield society: A global road map for 2015-2025 commissioned by COSPAR and ILWS

There is a growing appreciation that the environmental conditions that we call space weather impact the technological infrastructure that powers the coupled economies around the world. With that comes the need to better shield society against space weather by improving forecasts, environmental specifications, and infrastructure design. [...] advanced understanding of space weather requires a coordinated international approach to effectively provide awareness of the processes within the Sun-Earth system through observation-driven models. This roadmap prioritizes the scientific focus areas and research infrastructure that are needed to significantly advance our understanding of space weather of all intensities and of its implications for society. Advancement of the existing system observatory through the addition of small to moderate state-of-the-art capabilities designed to fill observational gaps will enable significant advances. Such a strategy requires urgent action: key instrumentation needs to be sustained, and action needs to be taken before core capabilities are lost in the aging ensemble. We recommend advances through priority focus (1) on observation-based modeling throughout the Sun-Earth system, (2) on forecasts more than 12 hrs ahead of the magnetic structure of incoming coronal mass ejections, (3) on understanding the geospace response to variable solar-wind stresses that lead to intense geomagnetically-induced currents and ionospheric and radiation storms, and (4) on developing a comprehensive specification of space climate, including the characterization of extreme space storms to guide resilient and robust engineering of technological infrastructures. The roadmap clusters its implementation recommendations by formulating three action pathways, and outlines needed instrumentation and research programs and infrastructure for each of these. [...]Comment: In press for Advances of Space Research: an international roadmap on the science of space weather, commissioned by COSPAR and ILWS (63 pages and 4 figures

Benefits of outdoor sports for society. A systematic literature review and reflections on evidence

The combination of physical activity and being in nature is recognized as providing a range of significant benefits. The objective of this literature review was to compile an overview of the social benefits and costs associated with outdoor sports within the academic literature and to reflect on the quality of underlying evidence that supports the relationship. A systematic review was carried out with seven partners from different European countries, including Bulgaria, France, Germany, United Kingdom, Italy, Portugal, and Spain. From a total of 17,560 studies identified, 133 studies were selected with relevant data extracted to standardized forms. The selected studies have been analyzed with qualitative research methods. A meta-analysis could not be conducted due to the heterogeneity of the study designs and outcome measures. As a result, the review gives an overview of the social impacts associated with outdoor sports which have been clustered to six broad categories: physical health, mental health and wellbeing, education and lifelong learning, active citizenship, crime reduction, and anti-social behavior, as well as additional benefits. The review furthermore revealed gaps in the evidence base which are especially notable in the long-term effects that outdoor sports can have on personal and social development