Enhancements to the Generalized Sidelobe Canceller for Audio Beamforming in an Immersive Environment

The Generalized Sidelobe Canceller is an adaptive algorithm for optimally estimating the parameters for beamforming, the signal processing technique of combining data from an array of sensors to improve SNR at a point in space. This work focuses on the algorithm’s application to widely-separated microphone arrays with irregular distributions used for human voice capture. Methods are presented for improving the performance of the algorithm’s blocking matrix, a stage that creates a noise reference for elimination, by proposing a stochastic model for amplitude correction and enhanced use of cross correlation for phase correction and time-difference of arrival estimation via a correlation coefficient threshold. This correlation technique is also applied to a multilateration algorithm for an efficient method of explicit target tracking. In addition, the underlying microphone array geometry is studied with parameters and guidelines for evaluation proposed. Finally, an analysis of the stability of the system is performed with respect to its adaptation parameters

Hill of Banchory Geothermal Energy Project Feasibility Study Report

This feasibility study explored the potential for a deep geothermal heat project at Hill of Banchory, Aberdeenshire. The geology of the Hill of Fare, to the north of Banchory, gives cause to believe it has good geothermal potential, while the Hill of Banchory heat network, situated on the northern side of the town, offers a ready-made heat customer. The partners in the consortium consisted of academics and developers with relevant expertise in deep geothermal energy, heat networks, and financial analysis, together with representatives of local Government. They conducted geological fieldwork around the Hill of Fare, engaged with local residents to establish their attitudes to geothermal energy, and built business models to predict the conditions under which the heat network at Hill of Banchory would be commercial if it utilised heat from the proposed geothermal well. They also estimated the potential carbon emission reductions that could be achieved by using deep geothermal energy, both at Hill of Banchory and more widely

Modules for Experiments in Stellar Astrophysics (MESA): Giant Planets, Oscillations, Rotation, and Massive Stars

We substantially update the capabilities of the open source software package Modules for Experiments in Stellar Astrophysics (MESA), and its one-dimensional stellar evolution module, MESA Star. Improvements in MESA Star's ability to model the evolution of giant planets now extends its applicability down to masses as low as one-tenth that of Jupiter. The dramatic improvement in asteroseismology enabled by the space-based Kepler and CoRoT missions motivates our full coupling of the ADIPLS adiabatic pulsation code with MESA Star. This also motivates a numerical recasting of the Ledoux criterion that is more easily implemented when many nuclei are present at non-negligible abundances. This impacts the way in which MESA Star calculates semi-convective and thermohaline mixing. We exhibit the evolution of 3-8 Msun stars through the end of core He burning, the onset of He thermal pulses, and arrival on the white dwarf cooling sequence. We implement diffusion of angular momentum and chemical abundances that enable calculations of rotating-star models, which we compare thoroughly with earlier work. We introduce a new treatment of radiation-dominated envelopes that allows the uninterrupted evolution of massive stars to core collapse. This enables the generation of new sets of supernovae, long gamma-ray burst, and pair-instability progenitor models. We substantially modify the way in which MESA Star solves the fully coupled stellar structure and composition equations, and we show how this has improved MESA's performance scaling on multi-core processors. Updates to the modules for equation of state, opacity, nuclear reaction rates, and atmospheric boundary conditions are also provided. We describe the MESA Software Development Kit (SDK) that packages all the required components needed to form a unified and maintained build environment for MESA. [Abridged]Comment: Accepted for publication in The ApJ Supplement Series. Extra informations required to reproduce the calculations in this paper are available at http://mesastar.org/results/mesa

Modelling water demand and trade on the Murray and lower Darling rivers

The Murray–Darling Basin is one of the largest river systems in the world. It supports a large community and is ecologically diverse. The Basin Plan is being implemented to restore the balance between consumptive uses and environmental health in the Basin. The socio-economic implications are a critical consideration in any change to this balance. Under the Basin Plan, considerable effort was invested into understanding how irrigation communities will respond under different water availability/management scenarios. This paper builds on this understanding by enhancing modelling approaches used in water resource planning to represent how irrigator's behaviour may change in response to new water management rules. The analysis uses a new demand model in the Source IMS river modelling platform. The amount of water available to an irrigator is the key modelled decision variable, impacting on crop areas and crop mix. The available water is dependent on carryover from last year, allocated water, planned trade of allocation and planned carryover into the next irrigation season. Prior to making a planting decision, the irrigator will review their water portfolio and make a decision on how much water they plan to trade (in or out) and how much water they plan to carry-over into the next season. The resulting available water is then used to make a decision on what area they will plant to different crop types each year. This logic represents the trading of water to support urban and permanent horticultural plantings in low allocation years. Conversely, allocation is traded to increase the area of annual cropping systems in years of high water availability. The irrigators water portfolio is reviewed as the season progresses. If they are likely to run out of water, a decision is made to either reduce irrigation intensity (ie go into survival mode), cut back the irrigated area or to buy additional water. Any surplus water could be sold. The approach is tested against available land use, water use and trade data on the Murray and Lower Darling rivers

Emissions of forest floor and mineral soil carbon, nitrogen and mercury pools and relationships with fire severity for the Pagami Creek Fire in the Boreal Forest of northern Minnesota

Forest fires cause large emissions of C (carbon), N (nitrogen) and Hg (mercury) to the atmosphere and thus have important implications for global warming (e.g. via CO2 and N2O emissions), anthropogenic fertilisation of natural ecosystems (e.g. via N deposition), and bioaccumulation of harmful metals in aquatic and terrestrial systems (e.g. via Hg deposition). Research indicates that fires are becoming more severe over much of North America, thus increasing element emissions during fire. However, there has been little research relating forest floor and mineral soil losses of C, N and Hg to on-the-ground indices of fire severity that enable scaling up those losses for larger-scale accounting of fire-level emissions. We investigated the relationships between forest floor and mineral soil elemental pools across a range of soil-level fire severities following the 2011 Pagami Creek wildfire in northern Minnesota, USA. We were able to statistically differentiate losses of forest floor C, N and Hg among a five-class soil-level fire severity classification system. Regression relationships using soil fire severity class were able to predict remaining forest floor C, N and Hg pools with 82–96% confidence. We correlated National Aeronautics and Space Administration Airborne Visible and Infrared Imaging Spectrometer-Classic imagery to ground-based plot-scale estimates of soil fire severity to upscale emissions of C, N and Hg to the fire level. We estimate that 468 000 Mg C, 11 000 Mg of N and over 122 g of Hg were emitted from the forest floor during the burning of the 28 310 ha upland area of the Pagami Creek fire

Status, taste and distinction in consumer culture: acknowledging the symbolic dimensions of inequality

The relationship between social position and health has been the focus of extensive public health debate. In the UK and elsewhere, most researchers have focused on physical aspects of health, using indicators such as mortality and morbidity to draw a picture of profound and widening social inequalities. This paper draws attention to the (neglected) influence of contemporary culture on wellbeing, arguing that the social meanings created within consumer culture possess symbolic force that can add to wider inequalities. The possession of greater material and cultural resources by people of higher social status enables them to label their preferred forms of consumption and lifestyle as desirable and legitimate, thus conveying messages about superior taste and social distinction. Symbolic rather than material forms of inequality are implicated here, with consequences for the psychological wellbeing of disadvantaged people. This paper argues that analyses of inequality need broadening to include such considerations. However, there are implications for efforts to address health inequalities because this analysis suggests that if some forms of social inequality are removed, elements within society would be motivated to invent new forms to replace them. Therefore, this article suggests processes whereby people can develop the self-awareness needed to resist the glossy illusions of the good life represented by modern consumer capitalism

Post-fire comparisons of forest floor and soil carbon, nitrogen, and mercury pools with fire severity indices

Forest fires are important contributors of C, N, and Hg to the atmosphere. In the fall of 2011, a large wildfire occurred in northern Minnesota and we were able to quickly access the area to sample the forest floor and mineral soil for C, N, and Hg pools. When compared with unburned reference soils, the mean loss of C resulting from fire in the forest floor and the upper 20 cm of mineral soil was 19.3 Mg ha−1, for N the mean loss was 0.17 Mg ha−1, and for Hg the mean loss was 9.3 g ha−1. To assess the influence of fire severity on the forest floor and mineral soils, we used an established method that included a soil burn severity index and a tree burn severity index with a gradient of severity classes. It was apparent that the unburned reference class had greater forest floor C, N, and Hg pools and higher C/N ratios than the burned classes. The C/N ratios of the 0- to 10- and 10- to 20-cm mineral soils in the unburned reference class were also greater than in the burned classes, indicating that a small amount of C was lost and/or N was gained, potentially through leaching unburned forest floor material. However, with a couple of exceptions, the severity classes were unable to differentiate the forest floor and mineral soil impacts among soil burn and tree burn severity indices. Developing burn severity indices that are reflective of soil elemental impacts is an important first step in scaling ecosystem impacts both within and across fire events

A standard protocol for reporting species distribution models

Species distribution models (SDMs) constitute the most common class of models across ecology, evolution and conservation. The advent of ready-to-use software packages and increasing availability of digital geoinformation have considerably assisted the application of SDMs in the past decade, greatly enabling their broader use for informing conservation and management, and for quantifying impacts from global change. However, models must be fit for purpose, with all important aspects of their development and applications properly considered. Despite the widespread use of SDMs, standardisation and documentation of modelling protocols remain limited, which makes it hard to assess whether development steps are appropriate for end use. To address these issues, we propose a standard protocol for reporting SDMs, with an emphasis on describing how a study's objective is achieved through a series of modeling decisions. We call this the ODMAP (Overview, Data, Model, Assessment and Prediction) protocol, as its components reflect the main steps involved in building SDMs and other empirically-based biodiversity models. The ODMAP protocol serves two main purposes. First, it provides a checklist for authors, detailing key steps for model building and analyses, and thus represents a quick guide and generic workflow for modern SDMs. Second, it introduces a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating peer review and expert evaluation of model quality, as well as meta-analyses. We detail all elements of ODMAP, and explain how it can be used for different model objectives and applications, and how it complements efforts to store associated metadata and define modelling standards. We illustrate its utility by revisiting nine previously published case studies, and provide an interactive web-based application to facilitate its use. We plan to advance ODMAP by encouraging its further refinement and adoption by the scientific community

Adapting safety plans for autistic adults with involvement from the autism community

Background: Autistic adults are at greater risk of self-harm and suicide than the general population. One promising intervention in the general population is safety planning. We aimed to seek advice from autistic adults and others in the autism community on how to adapt safety plans for autistic adults. Methods: We conducted focus groups with autistic adults (n = 15), family members (n = 5), and service providers (n = 10), about their views of the Autism Adapted Safety Plan (AASP). We also conducted interviews about the acceptability of the AASP with autistic adults who had developed an AASP (n = 8) and with service providers who had supported them (n = 8). We analyzed the focus group and interview transcripts using thematic analysis. Results: Theme 1 highlights conditions needed to make the process of creating the AASP acceptable for autistic adults. This included creating the AASP with someone they could trust and at the right place and time, when they were not in distress or in crisis. Theme 2 describes how safety planning needed to be a creative, flexible, and iterative process. Autistic adults may need help in expressing their emotions and identifying coping strategies, which can be supported through visual resources and suggestions from the service provider. To ensure that the AASP is accessible in times of crisis, it needs to meet the autistic adults' preferences in terms of formatting and how it is stored (i.e., hard copy or electronic). Conclusions: The AASP is a potentially valuable intervention for autistic adults, provided that the process of creating it is flexible and sensitive to individual needs. Further testing of the AASP to assess its clinical effectiveness in reducing suicidal behavior could provide a life-saving intervention for autistic adults

Outstanding challenges in the transferability of ecological models

Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their ‘transferability’) undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps which, if filled, will most improve model transfers. These are summarized into six technical and six fundamental challenges, which underlie the combined need to intensify research on the determinants of ecological predictability, including species traits and data quality, and develop best practices for transferring models. Of high importance is the identification of a widely applicable set of transferability metrics, with appropriate tools to quantify the sources and impacts of prediction uncertainty under novel conditions