An interpretative phenomenological analysis of the impact of domestic violence on the mother-child relationship

There is a dearth of literature examining mothers’ experiences of mothering in the context of domestic violence (DV), and their perception both of the difficulties they face with regard to parenting their children, and how their own relational history influences their parenting. This research utilised Interpretative Phenomenological Analysis to understand the experiences of seven women living in refuge, and their perceptions of how their relationships with their children had been impacted by the domestic violence. Four super ordinate themes emerged: the perceived influences of their own childhood experiences; transition; relationship to the individual child or children, and emotional regulation and trauma in the mother-child relationship. The findings have clinical implications for therapists and agencies working with mothers transitioning out of DV relationships, and highlight the importance of providing resources as well as respecting and reinforcing women’s personal agency. These findings add to the emergent literature on the attachment relationship within the DV context

Scottish theme towns: have new identities enhanced development?

Three small towns in southwest Scotland have recently been branded as distinct theme towns, based on books, artists and food. This is an attempt to make them more attractive to visitors and thereby improve their economy. The objective of this research is to establish whether the new identities possessed by the towns have enhanced their development. It is argued, using data reviewing the past decade, that they have all developed, albeit at different rates, in terms of the economy and culture. Moreover, it is maintained that social capital has been enhanced and is a factor whose importance has been under-appreciated by planners and observers of this type of process. The relevance of the new identity to the pre-branding identity is also seen as a factor in successful development and ideas of authenticity and heritage are brought to bear on the relationship

Peri-urbanisation, Social Heterogeneity and Ecological Simplification

Peri-urban development pressure on and near Australian coastlines is resulting in the conversion of agricultural land for rural-residential use. The impact of larger and more diverse human populations upon the ecological assets remaining in agricultural landscapes has consequently become a policy concern. This paper contributes to these policy debates by integrating the results of parallel social and ecological research projects commissioned to improve natural resource management in peri-urbanising regions. The research was undertaken in the case study region of South East Queensland, the region supporting Australia’s most rapid population growth. Our results indicate that both social and ecological communities cross a fragmentation threshold due to peri-urban development whereby they become ecologically simple and socially heterogeneous in a coupling that cedes a poor diagnosis for biodiversity retention.stored soil water, dryland grain cropping, extension, social systems, RD&E, differentiation

Artificial biochemical networks: a different connectionist paradigm.

Connectionist models are usually based on artificial neural networks. However, there is another route towards parallel distributed processing. This is by considering the origins of the intelligence displayed by the single celled organisms known as protoctists. Such intelligence arises by means of the biochemical interactions within the animal. An artificial model of this might therefore be termed an artificial biochemical network or ABN. This paper describes the attributes of such networks and illustrates their abilities in pattern recognition problems and in generating time-varying signals of a type which can be used in many control tasks. The flexibility of the system is explained using legged robots as an example. The networks are trained using back propagation and evolutionary algorithms such as genetic algorithms

High speed sCMOS-based oblique plane microscopy applied to the study of calcium dynamics in cardiac myocytes

blique plane microscopy (OPM) is a form of light sheet microscopy that uses a single high numerical aperture microscope objective for both fluorescence excitation and collection. In this paper, measurements of the relative collection efficiency of OPM are presented. An OPM system incorporating two sCMOS cameras is then introduced that enables single isolated cardiac myocytes to be studied continuously for 22 seconds in two dimensions at 667 frames per second with 960 × 200 pixels and for 30 seconds with 960 × 200 × 20 voxels at 25 volumes per second. In both cases OPM is able to record in two spectral channels, enabling intracellular calcium to be studied via the probe Fluo-4 AM simultaneously with the sarcolemma and transverse tubule network via the membrane dye Cellmask Orange. The OPM system was then applied to determine the spatial origin of spontaneous calcium waves for the first time and to measure the cell transverse tubule structure at their point of origin. Further results are presented to demonstrate that the OPM system can also be used to study calcium spark parameters depending on their relationship to the transverse tubule structure

The chaotic solar cycle II. Analysis of cosmogenic 10Be data

Context. The variations of solar activity over long time intervals using a solar activity reconstruction based on the cosmogenic radionuclide 10Be measured in polar ice cores are studied. Methods. By applying methods of nonlinear dynamics, the solar activity cycle is studied using solar activity proxies that have been reaching into the past for over 9300 years. The complexity of the system is expressed by several parameters of nonlinear dynamics, such as embedding dimension or false nearest neighbors, and the method of delay coordinates is applied to the time series. We also fit a damped random walk model, which accurately describes the variability of quasars, to the solar 10Be data and investigate the corresponding power spectral distribution. The periods in the data series were searched by the Fourier and wavelet analyses. The solar activity on the long-term scale is found to be on the edge of chaotic behavior. This can explain the observed intermittent period of longer lasting solar activity minima. Filtering the data by eliminating variations below a certain period (the periods of 380 yr and 57 yr were used) yields a far more regular behavior of solar activity. A comparison between the results for the 10Be data with the 14C data shows many similarities. Both cosmogenic isotopes are strongly correlated mutually and with solar activity. Finally, we find that a series of damped random walk models provides a good fit to the 10Be data with a fixed characteristic time scale of 1000 years, which is roughly consistent with the quasi-periods found by the Fourier and wavelet analyses.Comment: 8 pages, 11 figure

Erysipelothrix rhusiopathiae serotype 15 associated with recurring pig erysipelas outbreaks

Erysipelothrix rhusiopathiae is the causative agent of pig erysipelas and can be associated with sporadic cases or larger outbreaks of septicaemia with characteristic skin lesions or chronic polyarthritis. Within the genus Erysipelothrix, at least 6 species (Erysipelothrix rhusiopathiae, Erysipelothrix tonsillarum, Erysipelothrix species strain 1, Erysipelothrix species strain 2, Erysipelothrix species strain 3 and Erysipelothrix inopinata) and 28 serotypes (1a, 1b, 2-26 and N) have been recognised.1 E rhusiopathiae serotypes 1 and 2 are frequently isolated from clinically affected pigs, although other E rhusiopathiae serotypes have been sporadically associated with clinical disease. While there is no experimental evidence that Erysipelothrix species other than E rhusiopathiae cause disease in pigs, certain Erysipelothrix species strains have been isolated from clinical cases and from condemned carcases in abattoirs

Explaining Criminal Careers: Implications for Justice Policy

Explaining Criminal Careers presents a simple quantitative theory of crime, conviction and reconviction, the assumptions of the theory are derived directly from a detailed analysis of cohort samples drawn from the “UK Home Office” Offenders Index (OI). Mathematical models based on the theory, together with population trends, are used to make: exact quantitative predictions of features of criminal careers; aggregate crime levels; the prison population; and to explain the age-crime curve, alternative explanations are shown not to be supported by the data. Previous research is reviewed, clearly identifying the foundations of the current work. Using graphical techniques to identify mathematical regularities in the data, recidivism (risk) and frequency (rate) of conviction are analysed and modelled. These models are brought together to identify three categories of offender: high-risk / high-rate, high-risk / low-rate and low-risk / low-rate. The theory is shown to rest on just 6 basic assumptions. Within this theoretical framework the seriousness of offending, specialisation or versatility in offence types and the psychological characteristics of offenders are all explored suggesting that the most serious offenders are a random sample from the risk/rate categories but that those with custody later in their careers are predominantly high-risk/high-rate. In general offenders are shown to be versatile rather than specialist and can be categorised using psychological profiles. The policy implications are drawn out highlighting the importance of conviction in desistance from crime and the absence of any additional deterrence effect of imprisonment. The use of the theory in evaluation of interventions is demonstrated