Safer recruitment practice: audit of exisiting recruitment practices in residential child care

In the wake of a number of high profile cases of the abuse of children and young people in residential child care, there have been repeated calls for the improvement of recruitment and selection of residential child care staff. Following the Children’s Safeguards Review the Scottish Executive funded the Scottish Recruitment and Selection Consortium to contribute to the safefguards for children by developing a toolkit for safer selection of staff. The toolkit was published in 2001. In 2004 the Scottish executive commisioned research form Residential Child Care (SIRCC) to identify current recruitment practices in residentialchild care for staff who have unsupervised contact with children and young people and to gauge opinion on how safer recruitment should be taken forward . A postal survey of operational and human resource managers responsible for the recruitment of residential childcare staff in local authority and voluntary organisationswas undertaken between January and April 2005. A sample of those respondents was invited to participate in semi-structured exploratory interviews, focusing in more detail on current practice and participants’ views on the implementation of the recommendations of the Toolkit

Safer recruitment? protecting children, improving practice in residential child care

In the wake of a number of high-profile cases of the abuse of children and young people in residential child care, there have been repeated calls for the improvement of recruitment and selection of residential child care staff. This paper describes the findings from a survey, undertaken in 2005, of operational and human resource managers who have responsibility for the recruitment and selection of residential child care staff in the voluntary and statutory sectors in Scotland. This research was commissioned by the Scottish Executive to identify which elements of safer recruitment procedures had been implemented following the countrywide launch of a Toolkit for Safer Recruitment Practice in 2001. Research findings show that although local authorities were more likely than voluntary organisations to have gone some way toward implementing safer recruitment procedures, the recruitment process lacked rigour and commitment to safer procedures in some organisations. The article discusses the current barriers to the introduction of safer recruitment methods and proposes some possible solutions for the future

Evaluating the accuracy of diffusion MRI models in white matter

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However, evaluations of model-accuracy of some of the models that are commonly used in analyzing human white matter have not been published before. Here, we evaluate model-accuracy of the two main classes of diffusion MRI models. The diffusion tensor model (DTM) summarizes diffusion as a 3-dimensional Gaussian distribution. Sparse fascicle models (SFM) summarize the signal as a linear sum of signals originating from a collection of fascicles oriented in different directions. We use cross-validation to assess model-accuracy at different gradient amplitudes (b-values) throughout the white matter. Specifically, we fit each model to all the white matter voxels in one data set and then use the model to predict a second, independent data set. This is the first evaluation of model-accuracy of these models. In most of the white matter the DTM predicts the data more accurately than test-retest reliability; SFM model-accuracy is higher than test-retest reliability and also higher than the DTM, particularly for measurements with (a) a b-value above 1000 in locations containing fiber crossings, and (b) in the regions of the brain surrounding the optic radiations. The SFM also has better parameter-validity: it more accurately estimates the fiber orientation distribution function (fODF) in each voxel, which is useful for fiber tracking

Face processing limitation to own species in primates: a comparative study in brown capuchins, Tonkean macaques and humans

Most primates live in social groups which survival and stability depend on individuals' abilities to create strong social relationships with other group members. The existence of those groups requires to identify individuals and to assign to each of them a social status. Individual recognition can be achieved through vocalizations but also through faces. In humans, an efficient system for the processing of own species faces exists. This specialization is achieved through experience with faces of conspecifics during development and leads to the loss of ability to process faces from other primate species. We hypothesize that a similar mechanism exists in social primates. We investigated face processing in one Old World species (genus Macaca) and in one New World species (genus Cebus). Our results show the same advantage for own species face recognition for all tested subjects. This work suggests in all species tested the existence of a common trait inherited from the primate ancestor: an efficient system to identify individual faces of own species only

Foreground Enhancement and Background Suppression in Human Early Visual System During Passive Perception of Natural Images

One of the major challenges in visual neuroscience is represented by foreground-background segmentation, a process that is supposed to rely on computations in cortical modules, as information progresses from V1 to V4. Data from nonhuman primates (Poort et al., 2016) showed that segmentation leads to two distinct, but associated processes: the enhancement of cortical activity associated to figure processing (i.e., foreground enhancement) and the suppression of ground-related cortical activity (i.e., background suppression). To characterize foreground-background segmentation of natural stimuli in humans, we parametrically modulated low-level properties of 334 images and their behaviorally segmented counterparts. A model based on simple visual features was then adopted to describe the filtered and intact images, and to evaluate their resemblance with fMRI activity in different visual cortices (V1, V2, V3, V3A, V3B, V4, LOC). Results from representational similarity analysis (Kriegeskorte et al., 2008) showed that the correspondence between behaviorally segmented natural images and brain activity increases throughout the visual processing stream. We found evidence of foreground enhancement for all the tested visual regions, while background suppression occurs in V3B, V4 and LOC. Our results suggest that foreground-background segmentation is an automatic process that occurs during natural viewing, and cannot be merely ascribed to differences in objects size or location. Finally, neural images reconstructed from V4 and LOC fMRI activity revealed a preserved spatial resolution of foreground textures, indicating a richer representation of the salient part of natural images, rather than a simplistic model of objects shape