571 research outputs found

    “Isn’t it funny the children that are further away we don’t think about as much?”: Using GPS to explore the Mobilities and Geographies of Social Work and Child Protection Practice

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    Social work is an inherently mobile and spatial profession; child protection social workers travel to meet families in diverse contexts, such as families' homes, schools, court and many more. However, rising bureaucracy, managerialism and workloads are all combining to push social workers to complete increasing volumes of work outside their working hours (Broadhurst et al., 2009, 2010; Unison, 2017). Such concerns lead to the perception that social workers are increasingly immobilised, finding themselves desk-bound and required to spend much of their working day navigating time-consuming computer systems. This immobilisation of social workers has considerable implications, restricting professionals' abilities to undertake the face-to-face work required to build relationships with families. However, until now, the actual movements of social workers, and how (lack of) movement affects ability to practice, remain unknown. In this paper we report on innovative research methods using GPS [Global Positioning System] devices that can trace social workers' mobilities and explore the use of office space, home working and visits to families in two English social work departments. This article presents unique findings that reveal how mobile working is shaping social care practitioner wellbeing and practice

    Biomaterial interactions with compromised tissue surfaces

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    This thesis is concerned with the nature of biomaterial interactions with compromised host tissue sites. Both ocular and dermal tissues can be wounded, following injury, disease or surgery, and consequently require the use of a biomaterial. Clear analogies exist between the cornea/tear film/contact lens and the dermal wound bed/wound fluid/skin adhesive wound dressing. The work described in this thesis builds upon established biochemistry to examine specific aspects of the interaction of biomaterials with compromised ocular and dermal tissue sites, with a particular focus on the role of vitronectin. Vitronectin is a prominent cell adhesion glycoprotein present in both tear fluid and wound fluid, and has a role in the regulation and upregulation of plasmin. The interaction of contact lenses with the cornea was assessed by a novel on-lens cell-based vitronectin assay technique. Vitronectin mapping showed that vitronectin-mediated cell adhesion to contact lens surfaces was due to the contact lens-corneal mechanical interaction rather than deposition out of the tear film. This deposition is associated predominantly with the peripheral region of the posterior contact lens surface. The locus of vitronectin deposition on the contact lens surface, which is affected by material modulus, is potentially an important factor in the generation of plasmin in the posterior tear film. Use of the vitronectin mapping technique on ex vivo bandage contact lenses revealed greater vitronectin-mediated cell adhesion to the contact lens surfaces in comparison to lenses worn in the healthy eye. The results suggest that vitronectin is more readily deposited from the impaired corneal tissue bed than the intact healthy tissue bed. Significantly, subjects with a deficient tear film were found to deposit high vitronectin-mediated cell adhesion levels to the BCL surface, thus highlighting the influence of the contact lens-tissue interaction upon deposition. Biomimetic principles imply that adhesive materials for wound applications, including hydrogels and hydrocolloids, should closely match the surface energy parameters of skin. The surface properties of hydrocolloid adhesives were found to be easily modified by contact with siliconised plastic release liners. In contrast, paper release liners did not significantly affect the adhesive surface properties. In order to characterise such materials in the actual wound environment, which is an extremely challenging task, preliminary considerations for the design of an artificial wound fluid model from an animal serum base were addressed

    Assessing Teacher Dispositions In Pre-Service Teachers

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    The purpose of this study was to determine whether there was a significant difference between the perceived dispositions in pre-service teachers in urban settings versus non-urban settings. It was also the intent of this study to describe the change in perceived dispositions throughout pre-service teachers’ internship experiences. Graduate students (N=44) from a teacher education program participated by providing responses to surveys, reflections, and focus groups. Final Assessment (FA) grades were also gathered to validate responses. The nature of self-reported data requires this study to collect both quantitative and qualitative data so that pre-service teachers’ responses can be validated with their experience, which influenced the decision to employ a mixed-methods design for this study. A triangulation mixed methods design (QUANT + QUAL) was used. The quantitative analysis used a non-experimental comparative approach. Inductive within deductive coding was used to analyze the journal responses and focus groups. Template analysis (King, 2004) used pre-established codes based on the 10 INTASC Principles and Dispositions Indicators (1992). Themes also emerged inductively and were identified throughout the coding process

    The nature and consequence of vitronectin interaction in the non-compromised contact lens wearing eye

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    Purpose: The aim of this work was to investigate the locus and extent of vitronectin (Vn) deposition on ex vivo contact lenses and to determine the influence of wear modality together with surface and bulk characteristics of the lens material. Methods: The quantity and location of Vn deposition on the surfaces of contact lens materials was investigated using a novel on-lens cell attachment assay technique. Results: Vn mapping showed that deposition resulted from lens-corneal interaction rather than solely from the tear film. Higher cell counts on the posterior surface of the lenses were determined in comparison to the anterior surface. Overall gross Vn deposition was greater for high water content-low modulus materials (117. ±. 4 average cell count per field) than low water content-high modulus materials (88. ±. 6 average cell count per field). Conclusions: The role of Vn in plasmin regulation and upregulation is widely recognised. The findings in this paper suggest that the locus of Vn on the contact lens surface, which is affected by material properties such as modulus, is potentially an important factor in the generation of plasmin in the posterior tear film. Consequently, the potential for materials to affect Vn deposition will influence lens-induced inflammatory processes

    Improving Teacher Quality for Colorado Science Teachers in High Need Schools

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    This article describes the evaluation of an online professional development program funded by the State of Colorado to address the need for highly qualified science teachers in high need and/or rural school districts. Recruitment and the retention of highly qualified educators in high need and/or rural school districts is a critical factor affecting the education and the possible career trajectory of students enrolled in science, technology, engineering and math (STEM) related courses. The program describes the participants experiences with the online format, the educational courses offered, and the overall effect of the program. The results of the evaluation provided positive results for participants experience and valuable information regarding improvements to such programs

    Teacher Work Sample Methodology: Displaying Accountability Of U.S. Teacher Education Program Effectiveness

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    Productive strategies for evaluating outcomes in teacher licensure programs are becoming increasingly important in the education field. Research data from 492 teacher licensure program completers from 2006-2009 in the School of Education, Colorado State University, Fort Collins, Colorado (USA) was compiled after accreditation by the Colorado Department of Higher Education (CDHE) and the Teacher Education Accreditation Council (TEAC). Three categories including subject matter knowledge, pedagogy, and caring teaching skills were acknowledged in accreditation. An important pedagogy experience for students during the licensure program was teacher work sample methodology. This article discusses teacher work sample methodology, explains the experience of building a teacher work sample (TWS) and presents data regarding students’ results from TWS rubrics. Findings demonstrate teacher education program effectiveness and highlight the effective use of TWSs to meet accreditation requirements

    Assessing Deep Convolutional Neural Networks and Assisted Machine Perception for Urban Mapping

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    High-spatial-resolution satellite imagery has been widely applied for detailed urban mapping. Recently, deep convolutional neural networks (DCNNs) have shown promise in certain remote sensing applications, but they are still relatively new techniques for general urban mapping. This study examines the use of two DCNNs (U-Net and VGG16) to provide an automatic schema to support high-resolution mapping of buildings, road/open built-up, and vegetation cover. Using WorldView-2 imagery as input, we first applied an established OBIA method to characterize major urban land cover classes. An OBIA-derived urban map was then divided into a training and testing region to evaluate the DCNNs’ performance. For U-Net mapping, we were particularly interested in how sample size or the number of image tiles affect mapping accuracy. U-Net generated cross-validation accuracies ranging from 40.5 to 95.2% for training sample sizes from 32 to 4096 image tiles (each tile was 256 by 256 pixels). A per-pixel accuracy assessment led to 87.8 percent overall accuracy for the testing region, suggesting U-Net’s good generalization capabilities. For the VGG16 mapping, we proposed an object-based framing paradigm that retains spatial information and assists machine perception through Gaussian blurring. Gaussian blurring was used as a pre-processing step to enhance the contrast between objects of interest and background (contextual) information. Combined with the pre-trained VGG16 and transfer learning, this analytical approach generated a 77.3 percent overall accuracy for per-object assessment. The mapping accuracy could be further improved given more robust segmentation algorithms and better quantity/quality of training samples. Our study shows significant promise for DCNN implementation for urban mapping and our approach can transfer to a number of other remote sensing applications
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