The management of cognitive resources

It is argued that an understanding of complex cognitive performance can best be achieved by considering both processing and representational cognitive resources. In any given task, control processes are important for configuring such resources appropriately and passing information between them. A computer controlled alphabet counting task which allows storage and processing requirements to be independently manipulated is used to gain a better understanding of the organisation and utilisation of resources by providing access to the microstructure of performance. Three main directions are explored. The first establishes baseline conditions for varying parameters of the task. Most notably, it demonstrates that resources are typically set up for the expected task difficulty prior to the task commencing, rather than as a consequence of immediate task demands. The second theme explores individual differences in carrying out one of the more complex conditions of the task, and shows that subgroups of subjects can be isolated who exhibit distinct patterns of performance. Moreover, in a task of this complexity, gross predictors of individual differences, such as IQ, do not relate to overall performance in any simple way, although they can be understood within each subgroup. The third group of experiments explore sensitivity to stressors external to the immediate task. Two 'environmental stressors' (alcohol and noise) and one 'cognitive stressor' (an additional concurrent memory load) are examined. Reliable differential effects are observed on the storage and processing phases of the task within individual subjects, but variations in the precise pattern of effects between subjects result in group data being potentially misleading. Finally, the requirements for an appropriate framework which can capture the most important aspects of resource management are considered, and a framework incorporating components of contemporary models of working memory is presented

Cancer of the female lower genital tract

British Journal of Cancer (2002) 86, 1972. DOI: 10.1038/sj.bjc.6600357 www.bjcancer.co

Angiogenesis in Paget's Disease of the Vulva and the Breast: Correlation with Microvessel Density

Our understanding of the pathogenesis of Paget's disease of the vulva and the breast remains limited. Current evidence supports the fact that angiogenesis plays an important role in the pathogenesis of several diseases. Therefore, we sought to define its role, as correlated with microvessel density, in Paget's disease of the vulva and the breast. Microvessels were analysed using anti-von Willebrand factor antibody in 105 cases of Paget's disease of the vulva and the breast comprising 71 cases of Paget's disease of the vulva, including 8 cases with invasive disease, and 34 cases of Paget's disease of the breast. The latter included 12 cases with DCIS, 5 cases with both DCIS and invasive carcinoma, and 6 with carcinoma alone. Eleven cases had no underlying tumour identified. Increased microvessel density was demonstrated in Paget's disease of the breast with DCIS and with carcinoma alone compared to Paget's disease of the breast alone, P < 0.08 and P < 0.013, respectively. There were no significant differences in microvessel density in the vulval cases. Neovascularisation is an important process in the development of Paget's disease of the breast. Other biological and molecular processes are more involved in the pathogenesis of Paget's disease of the vulva

Comparison of Approaches for Measuring and Predicting the Viscosity of Ternary Component Aerosol Particles

Measurements of the water activity-dependent viscosity of aerosol particles from two techniques are compared, specifically from the coalescence of two droplets in holographic optical tweezers (HOT) and poke-and-flow experiments on particles deposited onto a glass substrate. These new data are also compared with the fitting of dimer coagulation, isolation, and coalescence (DCIC) measurements. The aerosol system considered in this work are ternary mixtures of sucrose-citric acid-water and sucrose-NaNO3-water, at varying solute mass ratios. Results from HOT and poke-and-flow are in excellent agreement over their overlapping range of applicability (∼103–107 Pa s); fitted curves from DCIC data show variable agreement with the other two techniques because of the sensitivity of the applied modeling framework to the representation of water content in the particles. Further, two modeling approaches for the predictions of the water activity-dependent viscosity of these ternary systems are evaluated. We show that it is possible to represent their viscosity with relatively simple mixing rules applied to the subcooled viscosity values of each component or to the viscosity of the corresponding binary mixtures

Crowdsourcing genomic analyses of ash and ash dieback – power to the people

Ash dieback is a devastating fungal disease of ash trees that has swept across Europe and recently reached the UK. This emergent pathogen has received little study in the past and its effect threatens to overwhelm the ash population. In response to this we have produced some initial genomics datasets and taken the unusual step of releasing them to the scientific community for analysis without first performing our own. In this manner we hope to ‘crowdsource’ analyses and bring the expertise of the community to bear on this problem as quickly as possible. Our data has been released through our website at oadb.tsl.ac.uk and a public GitHub repository

Expected and actual responses to minimum unit pricing (MUP) for alcohol of people drinking at harmful levels in Scotland

Background This paper considers the extent to which people drinking at harmful levels responded to minimum unit pricing (MUP) in Scotland in the way they, family members and those providing services anticipated they would. It examines data taken from a larger evaluation of the impact of MUP on people who are drinking at harmful levels. Methods Qualitative interview data, (utilizing interviews and focus groups, with individuals, treatment services, and family members) was generated prior to the implementation of MUP in Scotland to provide insights into anticipated responses and comparable data generated across an extended 19-month period post-implementation and provided insights into actual responses. Results Overall, the data showed consistency between anticipated and actual responses, with fewer differences observed. In line with anticipated responses, many drinkers switched from cheap, strong ciders to other alcohol products, notably vodka. They consistently responded to the decrease in alcohol affordability by utilizing existing behavior such as managing finances and prioritizing spends on alcohol, including borrowing money, foregoing essentials, and using savings. There was less evidence of anticipated harmful consequences of MUP occurring, such as increased crime, switching to other drugs, or examples of acute withdrawal. Conclusions Drinkers and those living and working with them, have a good command of how alcohol affordability is maintained or impacts on expenditure and other choices, and how they respond to any decrease in affordability including the introduction of minimum price policies

Using the NANA toolkit at home to predict older adults' future depression

Background: Depression is currently underdiagnosed among older adults. As part of the Novel Assessment of Nu-trition and Aging (NANA) validation study, 40 older adults self-reported their mood using a touchscreen computer over three, one-week periods. Here, we demonstrate the potential of these data to predict future depression status. Methods: We analysed data from the NANA validation study using a machine learning approach. We applied the least absolute shrinkage and selection operator with a logistic model to averages of six measures of mood, with depression status according to the Geriatric Depression Scale 10 weeks later as the outcome variable. We tested multiple values of the selection parameter in order to produce a model with low deviance. We used a cross-validation framework to avoid overspecialisation, and receiver operating characteristic curve (ROC) analysis to determine the quality of the fitted model. Results: The model we report contained coefficients for two variables: sadness and tiredness, as well as a constant. The cross-validated area under the ROC curve for this model was 0.88 (CI: 0.69–0.97). Limitations: While results are based on a small sample, the methodology for the selection of variables appears suitable for the problem at hand, suggesting promise for a wider study and ultimate deployment with older adults at increased risk of depression. Conclusions: We have identified self-reported scales of sadness and tiredness as sensitive measures which have the potential to predict future depression status in older adults, partially addressing the problem of underdiagnosis