Current trends in the use of residential child care in Scotland

The survey was planned to examine how local authority residential care units were currently being used and to provide data relating to current issues in the use of residential child care. These issues were identified by Scottish Institute for Residential Child Care (SIRCC) staff as they provided training and development work with agencies across Scotland, and others have been part of wider professional and political concerns. They include matters such as the increasing numbers of children being admitted to care because of parentaldrug misuse. There is also anecdotal evidence about increasing numbers of seriously disturbed younger children having to be admitted to residential care because their difficulties preclude them being cared for in a foster home placement, or who had experienced a number of foster placement breakdowns. SIRCC provides a ‘Placement Information Service’ and over the past few years there has been a steady stream of enquiries from social workers looking for a ‘therapeutic placement’ for a younger child. There were also reports of sibling groups still being regularly split up on admission due to lack of places and a general reporting of a shortage of places. Noteworthy also has been the continued high level of emergency placements. As there has been a gradual reduction in residential places over the past 10 to15 years and as residential care is perceived to be an expensive resource it is important to understand what kinds of admissions are putting such pressure on existing resources. The survey therefore requested information about a wide range of topics related to admission to residential care including: age at admission length of stay; previous placement; whether placement was planned or not;whether siblings groups were kept together or not; whether the child was in full-time education or not; the reasons for admission including parental drug misuse; whether the placement was the placement of choice of the socialworker or residential services manager. The survey also asked respondents to give a broad measure of the effectiveness of the placement. It was hoped that the data might supplement the Looked After Children (LAC) statistics that are published annually by the Scottish Executive (SE), based onreturns from local authorities

Evaluation of fostering network Scottish care mentoring projects

Looked after children and young people are some of the most vulnerable in our society. For Scotland’s Children highlighted the ‘continuing failure of many local authorities as ‘corporate parents’ to provide these young people with the care and education they are entitled to by law’ (Scottish Executive, 2001, p. 10). One of the major issues facing looked after young people is the process of transition from care to independence. It is a time when they have ‘a right to expect the sort of help that loving parents would provide for their children, help to reach their full potential, and the same chance to make mistakes secure in the knowledge that there is a safety net of support’ (Jamieson, 2002, p. 2). However, over a number of years, research has highlighted the poor outcomes for children leaving care. Longitudinal studies which have followed up children and young people in care as part of national cohort studies present the stark contrast in life outcomes between those who have experienced care and those who have not. Cheung and Heath (1994) compare these two groups at age 33. Only one fifth of those who had been in care had achieved O levels compared to one-third of those who had not; only half as many had achieved A levels. Only one in a hundred of those who had been in care achieved a university degree compared to one on ten of those who had not. Two fifths of those who had been in care had no formal qualifications compared to one in seven (Cheung and Heath, 1994). This lack of qualifications converted into lack of success in the job market with three times as many being unemployed (10.8 % compared to 3.6 %) and larger proportions having manual jobs as opposed to professional or non-manual jobs

New Limits on Local Lorentz Invariance in Mercury and Cesium

We report new bounds on Local Lorentz Invariance (LLI) violation in Cs and Hg. The limits are obtained through the observation of the the spin- precession frequencies of 199Hg and 133Cs atoms in their ground states as a function of the orientation of an applied magnetic field with respect to the fixed stars. We measure the amplitudes of the dipole couplings to a preferred direction in the equatorial plane to be 19(11) nHz for Hg and 9(5) microHz for Cs. The upper bounds established here improve upon previous bounds by about a factor of four. The improvement is primarily due to mounting the apparatus on a rotating table. New bounds are established on several terms in the standard model extension including the first bounds on the spin-couplings of the neutron and proton to the z direction, <7e-30 GeV and <7e-29 GeV, respectively.Comment: 17 pages, 6 figure

Impact of Argument Type and Concerns in Argumentation with a Chatbot

Conversational agents, also known as chatbots, are versatile tools that have the potential of being used in dialogical argumentation. They could possibly be deployed in tasks such as persuasion for behaviour change (e.g. persuading people to eat more fruit, to take regular exercise, etc.) However, to achieve this, there is a need to develop methods for acquiring appropriate arguments and counterargument that reflect both sides of the discussion. For instance, to persuade someone to do regular exercise, the chatbot needs to know counterarguments that the user might have for not doing exercise. To address this need, we present methods for acquiring arguments and counterarguments, and importantly, meta-level information that can be useful for deciding when arguments can be used during an argumentation dialogue. We evaluate these methods in studies with participants and show how harnessing these methods in a chatbot can make it more persuasive

Addressing Popular Concerns Regarding COVID-19 Vaccination with Natural Language Argumentation Dialogues

Chatbots have the potential of being used as dialogical argumentation systems for behaviour change applications. They thereby offer a cost-effective and scalable alternative to in-person consultations with health professionals that users could engage in from the comfort of their own home. During events like the global COVID-19 pandemic, it is even more important than usual that people are well informed and make conscious decisions that benefit themselves. Getting a COVID-19 vaccine is a prime example of a behaviour that benefits the individual, as well as society as a whole. In this paper, we present a chatbot that engages in dialogues with users who do not want to get vaccinated, with the goal to persuade them to change their stance and get a vaccine. The chatbot is equipped with a small repository of arguments that it uses to counter user arguments on why the user is reluctant to get a vaccine. We evaluate our chatbot in a study with participants

Measurement of retinal vessel widths from fundus images based on 2-D modeling

Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide. This paper presents an algorithm to measure the vessel diameter to subpixel accuracy. The diameter measurement is based on a two-dimensional difference of Gaussian model, which is optimized to fit a two-dimensional intensity vessel segment. The performance of the method is evaluated against Brinchmann-Hansen's half height, Gregson's rectangular profile and Zhou's Gaussian model. Results from 100 sample profiles show that the presented algorithm is over 30% more precise than the compared techniques and is accurate to a third of a pixel

A new method for automatic Multiple Partial Discharge Classification

A new wavelet based feature parameter have been developed to represent the characteristics of PD activities, i.e. the wavelet decomposition energy of PD pulses measured from non-conventional ultra wide bandwidth PD sensors such as capacitive couplers (CC) or high frequency current transformers (HFCT). The generated feature vectors can contain different dimensions depending on the length of recorded pulses. These high dimensional feature vectors can then be processed using Principal Component Analysis (PCA) to map the data into a three dimensional space whilst the first three most significant components representing the feature vector are preserved. In the three dimensional mapped space, an automatic Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is then applied to classify the data cluster(s) produced by the PCA. As the procedure is undertaken in a three dimensional space, the obtained clustering results can be easily assessed. The classified PD sub-data sets are then reconstructed in the time domain as phase-resolved patterns to facilitate PD source type identification. The proposed approach has been successfully applied to PD data measured from electrical machines and power cables where measurements were undertaken in different laboratories