3,191 research outputs found

    Weaving a philosophical thread linking everyday practice and theory when ‘it depends . . . ’

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    There is a phrase that social pedagogues employ time and again to characterise contextual thinking in everyday practice: ‘it depends . . . ’. This is often used when seeking answers akin to a formula that can be applied across situations; but can leave the listener with the thought that socio-pedagogical explanations are woolly or even incoherent. Yet when aware of context, pedagogues are clear about specific actions they take and can articulate the reasons behind such actions. What are the underlying principles, assumptions about the nature of reality, of humanity and of relationships that shape such an attitude? Dialectical epistemology and ontology assume that reality is in constant motion, that contradictions are the driver of that process of change. Further, understanding comes from highlighting relationships between different entities rather than separating them from their context. In this article, I use concepts taken from activity theory – a Marxist theory of learning using dialectical thinking – to articulate the relationship between particulars of everyday situations that are the bread and butter of socio-pedagogical practice. By showing that both activity theory and Freire’s Pedagogy of the Oppressed have the same philosophical basis, I argue that these commonalities have explanatory potential for social pedagogues when ‘it depends . . . ’. I hope that this will encourage practitioners interested in social pedagogy to expand their understanding of the importance of the philosophical assumptions behind their work, and join the work needed to further explore the development of social pedagogy within an activity theoretical framework

    Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI

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    Purpose: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted magnetic resonance imaging (DW-MRI) data and evaluates its performance. Methods: In May 2011, ten male volunteers (age range: 29 to 53 years, mean: 37 years) underwent DW-MRI of the upper abdomen on 1.5T and 3.0T magnetic resonance scanners. Regions of interest in the left and right liver lobe, pancreas, spleen, renal cortex, and renal medulla were delineated independently by two readers. DNNs were trained for IVIM model fitting using these data; results were compared to least-squares and Bayesian approaches to IVIM fitting. Intraclass Correlation Coefficients (ICC) were used to assess consistency of measurements between readers. Intersubject variability was evaluated using Coefficients of Variation (CV). The fitting error was calculated based on simulated data and the average fitting time of each method was recorded. Results: DNNs were trained successfully for IVIM parameter estimation. This approach was associated with high consistency between the two readers (ICCs between 50 and 97%), low intersubject variability of estimated parameter values (CVs between 9.2 and 28.4), and the lowest error when compared with least-squares and Bayesian approaches. Fitting by DNNs was several orders of magnitude quicker than the other methods but the networks may need to be re-trained for different acquisition protocols or imaged anatomical regions. Conclusion: DNNs are recommended for accurate and robust IVIM model fitting to DW-MRI data. Suitable software is available at (1)

    Influence of coating on the thermal resistance of a Ni-Based superalloy

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    In this paper, the influence of M-CrAlY polycrystalline coating on the thermal fatigue behavior of a Nickel-base superalloy has been investigated. A special device using a rotating bending machine and two thermal sources has been used to perform thermo-mechanical tests. The two thermal sources have been set to obtain temperature variations between 750 and 1120 °C in the central part of the specimens, with a frequency of 0.1 Hz. The results showed a deleterious effect of the coating on the fatigue resistance. Numerical simulations have been carried out on SAMCEF to determine the thermo-mechanical field of the so-tested specimens. Calculated thermo-mechanical cycles of critical sites are associated with microstructure evolution and damage by cracking observed on the specimens. Damage mechanisms related to the presence of coating are discussed

    Depressive symptoms and quality of life in people with age-related macular degeneration

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    Purpose: To examine quality of life and associated factors in people with Age-Related Macular Degeneration (AMD). Methods: One hundred and forty-five AMD participants (mean age 78.0 +/- 7.7 years) and 104 age- and gender- matched controls (mean age 78.1 +/- 5.8 years) comprised the study populations for this case-control study. Depressive symptoms were measured with the Goldberg Anxiety and Depression (GAD) scale; general health and daily functioning was assessed with the Medical Outcomes Study Short Form 36 (SF-36) and questions relating to assistance required for daily living activities. Results: People with AMD performed more poorly than controls on the GAD depression scale, and physical functioning subscale of SF-36. 44.4% of people with AMD had clinically significant depressive symptoms compared to 17.5% of controls (p < 0.001). Multiple regression analysis revealed that AMD was independently associated with depressive symptoms and a path model indicated that AMD led to depressive symptoms both directly and indirectly via reduced general health and social functioning. Conclusion: Psychological and functional outcome measures are reduced in people with AMD. Earlier recognition and treatment of depressive symptoms in people with AMD may be crucial to maintaining quality of life in this group
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