'Trying to keep up': Intersections of identity, space, time and rhythm in women student carer auto/biographical accounts

Geographies of Care and Caring is a burgeoning area of geographical thought, although auto/biographical caring accounts have been less explored. Drawing upon in-depth interviews with women students (from different generations) who are in education with a range of caring responsibilities (‘student carers’), this chapter explores how auto/biographies are laden with spatial and temporal rhythms. Drawing upon theorisations of time and rhythm (Lefebvre, 2013, Elden, 2004), and feminist work exploring the gendered emotional and temporal dynamics of care (Hochschild, 1989; Maher 2009; Rogers and Weller, 2013) we explore how participants negotiate complex, shifting and multiply-intersecting rhythms across space and time to undertake care and construct identities as student and carer. In doing so, we consider the benefits of incorporating spatial and temporal rhythms within auto/biographical accounts

Blockspin Cluster Algorithms for Quantum Spin Systems

Cluster algorithms are developed for simulating quantum spin systems like the one- and two-dimensional Heisenberg ferro- and anti-ferromagnets. The corresponding two- and three-dimensional classical spin models with four-spin couplings are maped to blockspin models with two-blockspin interactions. Clusters of blockspins are updated collectively. The efficiency of the method is investigated in detail for one-dimensional spin chains. Then in most cases the new algorithms solve the problems of slowing down from which standard algorithms are suffering.Comment: 11 page

Solutions of the fully compressible semi-geostrophic system

The fully compressible semi-geostrophic system is widely used in the modelling of large-scale atmospheric flows. In this paper, we prove rigorously the existence of weak Lagrangian solutions of this system, formulated in the original physical coordinates. In addition, we provide an alternative proof of the earlier result on the existence of weak solutions of this system expressed in the so-called geostrophic, or dual, coordinates. The proofs are based on the optimal transport formulation of the problem and on recent general results concerning transport problems posed in the Wasserstein space of probability measures

Quality of life of adult congenital heart disease patients: a systematic review of the literature

Aims This review explores the quality of life of adult congenital heart disease patients and the relationship between disease severity and quality of life. METHODS: We searched seven electronic databases and the bibliography of articles. The 31 selected studies fulfilled the following criteria: adult population; quantitative; assessment of quality of life and/or impact of disease severity on quality of life using validated measures; English language. Data extraction forms were used to summarise the results. RESULTS: There are evident methodological limitations within the reviewed studies such as heterogeneous populations, designs, and quality of life conceptualisations and measurements. Despite these problems, findings suggest that the quality of life of adult congenital heart disease patients is compromised in the physical domain compared with their healthy counterparts, whereas no differences were found in relation to the psychosocial and environmental/occupational domain. Some severity variables appear to be significant correlates of quality of life and could be considered in a future standardised classification of disease severity. Conclusion The methodological limitations of past research in relation to the definition and measurement of quality of life, the study designs, and disease severity classifications need to be addressed in future studies in order to provide robust evidence and valid conclusions in this area of study. This will enable the development of targeted interventions for the improvement of quality of life in the adult population of congenital heart disease patients

Assessing Resilience of Pasture Production to Climatic Changes

Increasing temperatures and atmospheric carbon dioxide (CO2) concentrations, together with changes to rainfall patterns, will influence seasonal pasture production; however climate change projections for south eastern Australia are uncertain (CSIRO and BoM 2007). Despite this, climate change impact assessments generally rely on specific climate projections, but in this study an alternative approach was developed to test the resilience of production to incremental changes in climate

Dissipation of Pesticide Residues on Grapes and Strawberries Using Plasma-Activated Water

In this study, we present a novel atmospheric air plasma discharge for the generation of plasma-activated water (PAW), with the aim of reducing pesticide residues on fresh fruit. For this purpose, a large discharge volume pin-to-plate cold plasma reactor was employed. The pesticide-spiked grapes and strawberries were processed with varying PAW concentrations to study their efficacies for pesticide degradation combined with an evaluation of any induced changes in key nutritional and quality attributes. The results suggest that the reduction of chlorpyrifos was 79% on grapes and 69% on strawberries while that of carbaryl was 86% on grapes and 73% on strawberries, respectively. The degradation of pesticides in PAW is due to the generation of metastable reactive species including nitrates, nitrites, and hydrogen peroxide. The high oxidation potential and acidic environment of this PAW are proposed as important actors for pesticide dissipation. In addition to the effective pesticide reductions obtained, there were no significant changes in the key physical attributes (color and firmness) of the treated samples and only slight changes in the ascorbic acid levels observed for both strawberries and grapes. This study points to the effective potential of PAW for chemical decontamination of fruit while maintaining important quality and nutritional parameters

Fast three dimensional r-adaptive mesh redistribution

This paper describes a fast and reliable method for redistributing a computational mesh in three dimensions which can generate a complex three dimensional mesh without any problems due to mesh tangling. The method relies on a three dimensional implementation of the parabolic Monge–Ampère (PMA) technique, for finding an optimally transported mesh. The method for implementing PMA is described in detail and applied to both static and dynamic mesh redistribution problems, studying both the convergence and the computational cost of the algorithm. The algorithm is applied to a series of problems of increasing complexity. In particular very regular meshes are generated to resolve real meteorological features (derived from a weather forecasting model covering the UK area) in grids with over 2×107 degrees of freedom. The PMA method computes these grids in times commensurate with those required for operational weather forecasting

Predicting quality attributes of strawberry packed under modified atmosphere throughout the cold chain

Modified Atmosphere Packaging (MAP) is used commercially to extend the shelf life of strawberries. The attainment of desired gas (O2, CO2) concentrations inside MAP relies on the product respiration and the mass transfer through packaging and will affect the quality. The objective of this work is to build a mathematical model for strawberries to assess the effect of the uncertainties on headspace gas concentration and quality: 1) cold chain related temperature and relative humidity variations and 2) variability associated to product respiration and quality based on literature. Weight loss was more influenced by the cold chain storage conditions (temperature and RH) whereas spoilage had similar influence of cold chain conditions and product parameters. Waste generated in the cold chain was estimated from industrial standard weight loss and spoilage thresholds. A sensitivity analysis of the stochastic MAP model showed the influence of input parameters on the quality pointing to interventions associated to a reduction of the respiration rate (e.g. modification of packaging) and reduction of water transfer (e.g. coating) may prove more successful than other interventions to which the waste generation of this product is not so sensitive to. As a conclusion this work presents a toolbox to interpret cold chain data: 1) develop mathematical models to predict fate of quality 2) simulate cold chain conditions allowing for uncertainty 3) estimate the waste generation kinetics based in quality criteria and thresholds 4) perform a sensitivity analysis to identify most sensitive technological parameters 5) identify interventions that will affect those technological parameters. Keywords: Mathematical modelling; Coating; Variability; Sensitivity analysis; Strawberr