Anisotropic seismic inversion using a multigrid Monte Carlo approach

We propose a new approach for the inversion of anisotropic P-wave data based on Monte Carlo methods combined with a multigrid approach. Simulated annealing facilitates objective minimization of the functional characterizing the misfit between observed and predicted traveltimes, as controlled by the Thomsen anisotropy parameters (epsilon, delta). Cycling between finer and coarser grids enhances the computational efficiency of the inversion process, thus accelerating the convergence of the solution while acting as a regularization technique of the inverse problem. Multigrid perturbation samples the probability density function without the requirements for the user to adjust tuning parameters. This increases the probability that the preferred global, rather than a poor local, minimum is attained. Undertaking multigrid refinement and Monte Carlo search in parallel produces more robust convergence than does the initially more intuitive approach of completing them sequentially. We demonstrate the usefulness of the new multigrid Monte Carlo (MGMC) scheme by applying it to (a) synthetic, noise-contaminated data reflecting an isotropic subsurface of constant slowness, horizontally layered geologic media and discrete subsurface anomalies; and (b) a crosshole seismic data set acquired by previous authors at the Reskajeage test site in Cornwall, UK. Inverted distributions of slowness (s) and the Thomson anisotropy parameters (epsilon, delta) compare favourably with those obtained previously using a popular matrix-based method. Reconstruction of the Thomsen epsilon parameter is particularly robust compared to that of slowness and the Thomsen delta parameter, even in the face of complex subsurface anomalies. The Thomsen epsilon and delta parameters have enhanced sensitivities to bulk-fabric and fracture-based anisotropies in the TI medium at Reskajeage. Because reconstruction of slowness (s) is intimately linked to that epsilon and delta in the MGMC scheme, inverted images of phase velocity reflect the integrated effects of these two modes of anisotropy. The new MGMC technique thus promises to facilitate rapid inversion of crosshole P-wave data for seismic slownesses and the Thomsen anisotropy parameters, with minimal user input in the inversion process.

Unique genetic variation at a species' rear edge is under threat from global climate change

Global climate change is having a significant effect on the distributions of a wide variety of species, causing both range shifts and population extinctions. To date, however, no consensus has emerged on how these processes will affect the range-wide genetic diversity of impacted species. It has been suggested that species that recolonized from low-latitude refugia might harbour high levels of genetic variation in rear-edge populations, and that loss of these populations could cause a disproportionately large reduction in overall genetic diversity in such taxa. In the present study, we have examined the distribution of genetic diversity across the range of the seaweed Chondrus crispus, a species that has exhibited a northward shift in its southern limit in Europe over the last 40 years. Analysis of 19 populations from both sides of the North Atlantic using mitochondrial single nucleotide polymorphisms (SNPs), sequence data from two singlecopy nuclear regions and allelic variation at eight microsatellite loci revealed unique genetic variation for all marker classes in the rear-edge populations in Iberia, but not in the rear-edge populations in North America. Palaeodistribution modelling and statistical testing of alternative phylogeographic scenarios indicate that the unique genetic diversity in Iberian populations is a result not only of persistence in the region during the last glacial maximum, but also because this refugium did not contribute substantially to the recolonization of Europe after the retreat of the ice. Consequently, loss of these rear-edge populations as a result of ongoing climate change will have a major effect on the overall genetic diversity of the species, particularly in Europe, and this could compromise the adaptive potential of the species as a whole in the face of future global warming.

Increasing incidence of Barrett's oesophagus: a population-based study

Oesophageal adenocarcinoma, a highly fatal cancer, has risen in incidence in Western societies, but it is unclear whether this is due to increasing incidence of its pre-cursor condition, Barrett's oesophagus (BO) or whether the proportion of BO patients undergoing malignant progression has increased in the face of unchanged BO incidence. Data from population-based studies of BO incidence is limited, with equivocal results to date difficult to distinguish from changes in endoscopic practices. The aim of this study was to assess population trends in Barrett's oesophagus (BO) diagnoses in relation to endoscopy and biopsy rates over a 13 year period. The Northern Ireland Barrett's oesophagus Register (NIBR) is a population-based register of all 9,329 adults diagnosed with columnar epithelium of the oesophagus in Northern Ireland between 1993 and 2005, of whom 58.3% were male. European age-standardised annual BO incidence rates were calculated per 100,000 of the population, per 100 endoscopies and per 100 endoscopies including an oesophageal biopsy. Average annual BO incidence rates rose by 159% during the study period, increasing from 23.9/100,000 during 1993-1997 to 62.0/100,000 during 2002-2005. This elevation far exceeded corresponding increases in rates of endoscopies and oesophageal biopsies being conducted. BO incidence increased most markedly in individuals aged <60 years, and most notably amongst males aged <40 years. This study points towards a true increase in the incidence of BO which would appear to be most marked in young males. These findings have significant implications for future rates of oesophageal adenocarcinoma and surveillance programmes. © 2011 Springer Science+Business Media B.V.

A Robust Curve-Fitting Procedure for the Analysis of Plasmid DNA Strand Break Data from Gel Electrophoresis

A robust method for fitting to the results of gel electrophoresis assays of damage to plasmid DNA caused by radiation is presented. This method makes use of nonlinear regression to fit analytically derived dose response curves to observations of the supercoiled, open circular and linear plasmid forms simultaneously, allowing for more accurate results than fitting to individual forms. Comparisons with a commonly used analysis method show that while there is a relatively small benefit between the methods for data sets with small errors, the parameters generated by this method remain much more closely distributed around the true value in the face of increasing measurement uncertainties. This allows for parameters to be specified with greater confidence, reflected in a reduction of errors on fitted parameters. On test data sets, fitted uncertainties were reduced by 30%, similar to the improvement that would be offered by moving from triplicate to fivefold repeats (assuming standard errors). This method has been implemented in a popular spreadsheet package and made available online to improve its accessibility. (C) 2011 by Radiation Research Society

Climate change, Hans Jonas and indirect investors

This article considers how corporate behaviour in relation to climate change might be reconfigured and the role that indirect investors might play in this reconfiguring. The article suggests that the consequences of climate change are serious enough that indirect investors might be prevailed upon, using a model of behaviour suggested by the work of Hans Jonas, to pressure institutional investors into demanding changes in corporate policy towards climate change. Jonas' work represents a plea for the recognition and acceptance of responsibility in the face of nature's vulnerability and humanity's power over technology. The article suggests that this ethic can be operationalised in relation to corporate governance by building on the changes in the pattern of investment holdings that have taken place in large public companies in the preceding two decades or so. The idea is to appeal to individuals who may perceive themselves as currently being outsiders – or at least only distant stakeholders in relation to the corporation – to realise the responsibility vested in them as beneficiaries through their interest in pension funds, life assurance policies, annuities and other arm's-length financial arrangements with corporations. The hope is that these individuals may, through the influence of a model of responsibility, become active investors and beneficiaries interested in corporate practices that impact on climate change and, encourage others to do likewise.

A Visual Analytics Framework for Strategic Airlift Decision Making

The foundational concept of Network Enabled Capability relies on effective, timely information sharing. This information is used in analysis, trade and scenario studies, and ultimately decision-making. In this paper, the concept of visual analytics is explored as an enabler to facilitate rapid, defensible, and superior decision-making. By coupling analytical reasoning with the exceptional human capability to rapidly internalize and understand visual data, visual analytics allows individual and collaborative decision-making to occur in the face of vast and disparate data, time pressures, and uncertainty. An example visual analytics framework is presented in the form of a decision-making environment centered on the Lockheed C-5A and C-5M aircraft. This environment allows rapid trade studies to be conducted on design, logistics, and capability within the aircraft?s operational roles. Through this example, the use of a visual analytics decision-making environment within a military environment is demonstrated.

Moral Compromise

A moral compromise is a compromise on moral matters; it is agreement in the face of moral disagreement but where there is agreement on the importance of consensus – namely that it secures a morally desirable outcome. It is distinguishable from other forms of agreement, and an important distinction between moral compromise with public agreement and moral compromise with public disagreement is also made. Circumstances in which the former might be permissible are outlined, and the sense in which it is allowed all things considered to agree is made clear. The relevant discussions of Dan Brock and Mary Warnock on the role of the philosopher to public policy are critically reviewed. Finally, a brief list is offered of the considerations relevant to an estimation of whether and, if so, when such compromise is allowed.

Robust Multimodal Person Identification With Limited Training Data

This paper presents a novel method of audio-visual feature-level fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there are limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new multimodal feature representation and a modified cosine similarity are introduced to combine and compare bimodal features with limited training data, as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal dataset created from the SPIDRE speaker recognition database and AR face recognition database with variable noise corruption of speech and occlusion in the face images. The system's speaker identification performance on the SPIDRE database, and facial identification performance on the AR database, is comparable with the literature. Combining both modalities using the new method of multimodal fusion leads to significantly improved accuracy over the unimodal systems, even when both modalities have been corrupted. The new method also shows improved identification accuracy compared with the bimodal systems based on multicondition model training or missing-feature decoding alone.

The Protective Role of Group Identity: Sectarian Antisocial Behavior and Adolescent Emotion Problems

The protective role of strength of group identity was examined for youth in a context of protracted political conflict. Participants included 814 adolescents (M_age = 13.61, SD = 1.99 at Time 1) participating in a longitudinal study in Belfast, Northern Ireland. Utilizing hierarchical linear modeling, the results show that the effect of exposure to sectarian antisocial behaviors has a stronger effect on youth emotion problems for older adolescents. The results also show that youth with higher strength of group identity reported fewer emotion problems in the face of sectarian antisocial behavior but that this buffering effect is stronger for Protestants compared to Catholics. Implications are discussed for understanding the role of social identity in postaccord societies.

Does wave exposure determine the interactive effects of losing key grazers and ecosystem engineers?

The consequences of biodiversity loss in the face of environmental change remain difficult to predict, given the complexity of interactions among species and the context-dependency of their functional roles within ecosystems. Predictions may be enhanced by studies testing how the interactive effects of species loss from different functional groups vary with important environmental drivers. On rocky shores, limpets and barnacles are recognised as key grazers and ecosystem engineers, respectively. Despite the large body of research examining the combined effects of limpet and barnacle removal, it is unclear how their relative importance varies according to wave exposure, which is a dominant force structuring intertidal communities. We tested the responses of algal communities to the removal of limpets and barnacles on three sheltered and three wave-exposed rocky shores on the north coast of Ireland. Limpet removal resulted in a relative increase in microalgal biomass on a single sheltered shore only, but led to the enhanced accumulation of ephemeral macroalgae on two sheltered shores and one exposed shore. On average, independently of wave exposure or shore, ephemeral macroalgae increased in response to limpet removal, but only when barnacles were removed. On two sheltered shores and one exposed shore, however, barnacles facilitated the establishment of fucoid macroalgae following limpet removal. Therefore, at the scale of this study, variability among individual shores was more important than wave exposure per se in determining the effect of limpet removal and its interaction with that of barnacles. Overall, these findings demonstrate that the interactive effects of losing key species from different functional groups may not vary predictably according to dominant environmental factors.

Exploring the prevalence of and factors associated with pain: a cross-sectional study of community-dwelling people with dementia

Few pain studies have made community-dwelling people with dementia (PWD) their focus. The aim of this study was to determine the prevalence of pain among this patient population and to explore medication use. Moreover, we sought to investigate patient and caregiver variables associated with the presence of pain. Community-dwelling PWD and their caregivers were recruited between May 2009 and July 2012 from outpatient memory clinics in Northern Ireland to take part in a face-to-face structured interview with a researcher. Patients' cognitive status and presence of depression were established. A full medication history was taken. Both patients and caregivers were asked to rate patients' pain, at the time of the interview and on an average day, using a 7-point verbal descriptor scale. From the 206 patients who were eligible to take part, 75 patient-caregiver dyads participated in the study (participation rate = 36.4%). The majority of patients (92.0%) had dementia classed as mild or moderate. Pain was commonly reported among the sample, with 57.3% of patients and 70.7% of caregivers reporting patient pain on an average day. Significant differences were found between patients' and caregivers' reports of pain. Two-fifths of patients (40.0%) were prescribed analgesia. Antipsychotic, hypnotic and anxiolytic drug use was low, whereas antidepressant drugs were prescribed more commonly. Presence of pain was unaffected by dementia severity; however, the use of prescribed analgesic medication was a significant predictor of the presence of pain in these patients, whether reported by the patient or their caregiver 'right now' or 'on an average day' (P < 0.001). Patient and caregiver recruitment was challenging, and remains a barrier to research in this area in the future.

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors

Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as being error prone, such a manual process can also be time consuming; thus affecting the usability and suitability of shoeprint evidence in a court of law. Thus, an automatic system for classification and retrieval of shoeprints has the potential to be a valuable tool. This paper presents a solution for the automatic retrieval of shoeprints which is considerably more robust than existing solutions in the presence of geometric distortions such as scale, rotation and scale distortions. It addresses the issue of classifying partial shoeprints in the presence of rotation, scale and noise distortions and relies on the use of two local point-of-interest detectors whose matching scores are combined. In this work, multiscale Harris and Hessian detectors are used to select corners and blob-like structures in a scale-space representation for scale invariance, while Scale Invariant Feature Transform (SIFT) descriptor is employed to achieve rotation invariance. The proposed technique is based on combining the matching scores of the two detectors at the score level. Our evaluation has shown that it outperforms both detectors in most of our extended experiments when retrieving partial shoeprints with geometric distortions, and is clearly better than similar work published in the literature. We also demonstrate improved performance in the face of wear and tear. As matter of fact, whilst the proposed work outperforms similar algorithms in the literature, it is shown that achieving good retrieval performance is not constrained by acquiring a full print from a scene of crime as a partial print can still be used to attain comparable retrieval results to those of using the full print. This gives crime investigators more flexibility is choosing the parts of a print to search for in a database of footwear.

'When I Look I am Seen, So I Exist to Change': Supplementing Honneth's Recognition Model for Social Work

The subject of identity continues to attract widespread interest and debate in the social sciences. The nature of who we are, our potential to be different, and our similarity with others, underpins many present-day social issues. This paper contributes to this debate by examining critically the work of Axel Honneth on optimal identity-formation. Although broadly supporting Honneth’s chief construct of inter-personal recognition, a gap in his thinking is highlighted and addressed through proffering a fourth dimension to his tripartite model. This additional dimension requires demonstrations of recognition that instil hope in the face of hardship and empower positive transformations in identity. The implications of this reworked model for social work are then considered in terms of a range of approaches that can be utilised to build flourishing identities characterised by self-esteem, self-confidence, self-respect and self-belief.

Ecological communities are vulnerable to realistic extinction sequences

Loss of species will directly change the structure and potentially the dynamics of ecological communities, which in turn may lead to additional species loss (secondary extinctions) due to direct and/or indirect effects (e.g. loss of resources or altered population dynamics). Furthermore, the vulnerability of food webs to repeated species loss is expected to be affected by food web topology, species interactions, as well as the order in which species go extinct. Species traits such as body size, abundance and connectivity might determine a species' vulnerability to extinction and, thus, the order in which species go primarily extinct. Yet, the sequence of primary extinctions, and their effects on the vulnerability of food webs to secondary extinctions, when species abundances are allowed to respond dynamically, has only recently become the focus of attention. Here, we analyse and compare topological and dynamical robustness to secondary extinctions of model food webs, in the face of 34 extinction sequences based on species traits. Although secondary extinctions are frequent in the dynamical approach and rare in the topological approach, topological and dynamical robustness tends to be correlated for many bottom-up directed, but not for top-down directed deletion sequences. Furthermore, removing species based on traits that are strongly positively correlated to the trophic position of species (such as large body size, low abundance, high net effect) is, under the dynamical approach, found to be as destructive as removing primary producers. Such top-down oriented removal of species are often considered to correspond to realistic extinction scenarios, but earlier studies, based on topological approaches, have found such extinction sequences to have only moderate effects on the remaining community. Thus, our result suggests that the structure of ecological communities, and therefore the integrity of important ecosystem processes could be more vulnerable to realistic extinction sequences than previously believed.