'Research Training and Professional Social Work Education: Developing Research-Minded Practice' Social Work Education, .

The movement towards developing practice more firmly grounded on empirical research has, arguably, been one of the most significant international trends in social work during the past decade. However, in the UK the implications of this trend for pedagogical practices and the design of educational programmes have still to be fully explored. This paper reports on the findings of a repeated cross-sectional survey of MSW students in Queen's University Belfast which focused on their perceptions of the value of research training to professional practice. The study, conducted over a four year period, explored students' awareness of the relationship between research and practice and their readiness to engage with research training. The findings suggested that the majority of students perceived research training as a valuable component of professional development. However, the study also found a level of scepticism among students about its practical utility along with some resistance towards actively embracing a research agenda. The paper evaluates the significance of these findings for developing research and evidence-based practice as integral components of the new degrees in social work in the UK and for social work education programmes in other countries aiming to develop research-minded practice.

Recognising the co-occurance of domestic and child abuse: a comparison of community and hospital-based midwives

This study aimed to compare and contrast how midwives working in either hospital or community settings are currently responding to the cooccurrence of domestic and child abuse (CA), their perceived role and willingness to identify abuse, record keeping, reporting of suspected or definite cases of CA and training received. A survey questionnaire was sent to 861 hospital and community midwives throughout Northern Ireland which resulted in 488 midwives completing the questionnaire, leading to a 57% response rate. Comparisons were made using descriptive statistics and cross-tabulation, and the questionnaire was validated using exploratory factor analysis. Community midwives reported receiving more training on domestic and CA. Although a high percent of both hospital and community midwives acknowledged a link between domestic violence (DV) and CA, it was the community midwives who encountered more suspected and definite (P <0.001) cases of CA. More community midwives reported to be aware of the mechanisms for reporting CA. However, an important finding is that although 12% of community midwives encountered a definite case of CA, only 2% reported the abuse, leaving a 10% gap between reporting and identifying definite cases of CA. Findings suggest that lack of education and training was a problem as only a quarter of hospital-based midwives reported to have received training on DV and 40% on CA. This was significantly less than that received by community midwives, as 57% received training on DV, and 62% on CA. The study suggests that midwives need training on how to interact with abused mothers using non-coercive, supportive and empowering mechanisms. Many women may not spontaneously disclose the issues of child or domestic abuse in their lives, but often respond honestly to a sensitively asked question. This issue is important as only 13% of the sample actually asked a woman a direct question about DV.

'Truth, Ethics and Efficacy in the Training of Actors for Role Play'

Krysia M. Yardley-Matwiejczuk has addressed the clinical and psychological implications of role-play (Role Play: Theory and Practice, Sage Publications, 1997) and Judith Ackroyd has thoroughly reassessed the place of roleplay in education (Role Reconsidered, Trentham Books, 2004). But there has been no systematic analysis of the implications for actor training of this growing area of employment. This paper interrogates some of the implications of role-play for actor trainers, particularly in relation to the need for a clear ethical framework governing spontaneous performance in non-theatrical environments. The paper also suggests guidelines on ‘distancing’ and ‘presencing’ techniques to equip actors to cope with the unpredictability of role play-based performance.

Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands

Accurate in silico models for the quantitative prediction of the activity of G protein-coupled receptor (GPCR) ligands would greatly facilitate the process of drug discovery and development. Several methodologies have been developed based on the properties of the ligands, the direct study of the receptor-ligand interactions, or a combination of both approaches. Ligand-based three-dimensional quantitative structure-activity relationships (3D-QSAR) techniques, not requiring knowledge of the receptor structure, have been historically the first to be applied to the prediction of the activity of GPCR ligands. They are generally endowed with robustness and good ranking ability; however they are highly dependent on training sets. Structure-based techniques generally do not provide the level of accuracy necessary to yield meaningful rankings when applied to GPCR homology models. However, they are essentially independent from training sets and have a sufficient level of accuracy to allow an effective discrimination between binders and nonbinders, thus qualifying as viable lead discovery tools. The combination of ligand and structure-based methodologies in the form of receptor-based 3D-QSAR and ligand and structure-based consensus models results in robust and accurate quantitative predictions. The contribution of the structure-based component to these combined approaches is expected to become more substantial and effective in the future, as more sophisticated scoring functions are developed and more detailed structural information on GPCRs is gathered.

Targeting social need in a divided society: an evaluation of a community-based adult education initiative

This article examines the impact of a community-based adult education initiative designed to target social need in Northern Ireland. Set against a backdrop of extreme civil unrest and disadvantageous socio-economic conditions a cohort of adults was identified to participate in a personal and social development programme. The initiative was funded from Peace and Reconciliation resources made available to Northern Ireland by the European Union. High levels of unemployment and negativity about previous learning experiences were characteristic features among participants. An evaluation of the effectiveness of the programme was carried out and a follow-up qualitative survey ensued 6 months after the completion of the training. Results indicate that the learner-centred methodology was effective in providing a gateway to further education and training and enhancing participants' self-esteem, confidence, motivation, tolerance, social skills, community involvement and

Best of the old alongside the new: training for part-time youth workers

Set against the dearth of published research into the effectiveness of youth leadership training programmes, the present study describes how a comprehensive evaluation model was utilised to evaluate one such programme in Northern Ireland over a 3-year period. The training welds together a traditional curriculum approach and a competence-based methodology to provide an integrated experience for the part-time youth worker participants (n = 128). Self-completion questionnaires and follow-up interviews with a random sample of these youth workers and their supervisors were used to collect data. Outcomes suggest that the synthesis of these two training strategies is not only effective in meeting the learning needs of youth workers, but also leads to identifiable improvements in the range and quality of youth work programmes available to young people

New Circus: the benefits of Circus Training for young people in a residential setting,

Circus 1 to 3 is a circus school, based on the concept of New Circus, for boys resident in St. Patrick's Training School, Northern Ireland. The project is designed, not only to teach Circus skills, but also to foster social and personal skills. This report details an evaluation undertaken to assess die extent to which this programme meets these aims. A study of participants Circus records indicated that significant gains in co-operative behaviour, team-work, attitude and participation, as rated by Circus tutors, were evident over the course of boys involvement. A qualitative study was also conducted. These interviews with Circus 1 to 3 participants indicated that this project enhanced the quality of life for boys resident in St. Patrick's Training School. In addition the project, through the use of positive feedback, provides opportunities for boys to develop their social and personal skills. This evaluation concludes that Circus 1 to 3 is a worthwhile and successful endeavour.

ABA-Based Programs for Children Diagnosed With Autism Spectrum Disorder: Parental and Professional Experiences at School and at Home

Having a child diagnosed with Autism Spectrum Disorder (ASD) poses a range of challenges to families, many of which can be addressed through appropriate intervention. A study of parental (n = 95) and professional (n = 67) experiences was carried out in relation to two settings: (a) schools that provided intensive interventions based on the science of Applied Behavior Analysis (ABA), and (b) non-intensive ABA-based home programs. Results show that parents whose children attend ABA-based schools were generally more satisfied with their child's educational provision, monitoring procedures, and level of staff training, than parents who were not offered ABA-based education in schools. © 2012 Copyright Taylor and Francis Group, LLC.

Robust face recognition with partial occlusion, illumination variation and limited training data by optimal feature selection

This study investigates face recognition with partial occlusion, illumination variation and their combination, assuming no prior information about the mismatch, and limited training data for each person. The authors extend their previous posterior union model (PUM) to give a new method capable of dealing with all these problems. PUM is an approach for selecting the optimal local image features for recognition to improve robustness to partial occlusion. The extension is in two stages. First, authors extend PUM from a probability-based formulation to a similarity-based formulation, so that it operates with as little as one single training sample to offer robustness to partial occlusion. Second, they extend this new formulation to make it robust to illumination variation, and to combined illumination variation and partial occlusion, by a novel combination of multicondition relighting and optimal feature selection. To evaluate the new methods, a number of databases with various simulated and realistic occlusion/illumination mismatches have been used. The results have demonstrated the improved robustness of the new methods.

Bimodal biometric verification based on face and lips

In this paper, we present a novel approach to person verification by fusing face and lip features. Specifically, the face is modeled by the discriminative common vector and the discrete wavelet transform. Our lip features are simple geometric features based on a lip contour, which can be interpreted as multiple spatial widths and heights from a center of mass. In order to combine these features, we consider two simple fusion strategies: data fusion before training and score fusion after training, working with two different face databases. Fusing them together boosts the performance to achieve an equal error rate as low as 0.4% and 0.28%, respectively, confirming that our approach of fusing lips and face is effective and promising.

A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion

In polymer extrusion, delivery of a melt which is homogenous in composition and temperature is important for good product quality. However, the process is inherently prone to temperature fluctuations which are difficult to monitor and control via single point based conventional thermo- couples. In this work, the die melt temperature profile was monitored by a thermocouple mesh and the data obtained was used to generate a model to predict the die melt temperature profile. A novel nonlinear model was then proposed which was demonstrated to be in good agreement with training and unseen data. Furthermore, the proposed model was used to select optimum process settings to achieve the desired average melt temperature across the die while improving the temperature homogeneity. The simulation results indicate a reduction in melt temperature variations of up to 60%.

Virtual Microscopy and Digital Pathology in Training and Education

Traditionally, education and training in pathology has been delivered using textbooks, glass slides and conventional microscopy. Over the last two decades, the number of web-based pathology resources has expanded dramatically with centralized pathological resources being delivered to many students simultaneously. Recently, whole slide imaging technology allows glass slides to be scanned and viewed on a computer screen via dedicated software. This technology is referred to as virtual microscopy and has created enormous opportunities in pathological training and education. Students are able to learn key histopathological skills, e.g. to identify areas of diagnostic relevance from an entire slide, via a web-based computer environment. Students no longer need to be in the same room as the slides. New human–computer interfaces are also being developed using more natural touch technology to enhance the manipulation of digitized slides. Several major initiatives are also underway introducing online competency and diagnostic decision analysis using virtual microscopy and have important future roles in accreditation and recertification. Finally, researchers are investigating how pathological decision-making is achieved using virtual microscopy and modern eyetracking devices. Virtual microscopy and digital pathology will continue to improve how pathology training and education is delivered.

Developing Evidence-Based Practice in Child Protection

This article argues for the adoption of an evidence-based approach to decision-making in child protection. Such a change hinges upon the availability of good quality, up-to-date evidence that is readily accessible to practitioners and policy-makers. Following a resume' of the arguments for recognizing controlled trials as methodologically superior to other forms of methodology in evaluating professional interventions, the article presents the case for adopting a similarly rigorous approach to synthesizing research findings. It then identifies a range of obstacles to promoting evidence-based practice and makes recommendations for changes in training, research, and practice which might facilitate improvement in both primary research and in reviews of the literature.

Speaker Recognition In Noisy Conditions With Limited Training Data

In this paper we present a novel method for performing speaker recognition with very limited training data and in the presence of background noise. Similarity-based speaker recognition is considered so that speaker models can be created with limited training speech data. The proposed similarity is a form of cosine similarity used as a distance measure between speech feature vectors. Each speech frame is modelled using subband features, and into this framework, multicondition training and optimal feature selection are introduced, making the system capable of performing speaker recognition in the presence of realistic, time-varying noise, which is unknown during training. Speaker identi?cation experiments were carried out using the SPIDRE database. The performance of the proposed new system for noise compensation is compared to that of an oracle model; the speaker identi?cation accuracy for clean speech by the new system trained with limited training data is compared to that of a GMM trained with several minutes of speech. Both comparisons have demonstrated the effectiveness of the new model. Finally, experiments were carried out to test the new model for speaker identi?cation given limited training data and with differing levels and types of realistic background noise. The results have demonstrated the robustness of the new system.