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Addiction recovery stories: Neil Curran in conversation with Lisa Ogilvie
No full textPurpose This paper aims to explore the transition from addiction to recovery. It is the second in a series of recovery stories that examine candid accounts of addiction and recovery. Shared components of recovery are considered, along with the change and growth needed to support the transition. Design/methodology/approach The CHIME framework comprises five elements important to recovery (Connectedness, Hope, Identity, Meaning and Empowerment). It provides a standard to qualitatively study mental health recovery, having also been applied to addiction recovery. In this paper, an element for Growth is included in the model (G-CHIME), to consider both recovery, and sustained recovery. A first-hand account of addiction recovery is presented, followed by a semi-structured e-interview with the author of the account. This is structured on the G-CHIME model. Findings This paper shows that addiction recovery is a remarkable process that can be effectually explained using the G-CHIME model. The significance of each element in the model is apparent from the biography and e-interview presented. Originality/value Each account of recovery in this series is unique, and as yet, untold
Long-term Mental Health Impacts of the Covid-19 Pandemic on University Students in the UK: A longitudinal Analysis Over 12 Months
No full textlongitudinal data over 12 months, looking at mental health impacts of Covid-19 on university students.
longitudinal data over 12 months, looking at mental health impacts of Covid-19 on university students
Insights from the five nations and implications for the future
No full textIn the concluding chapter a team of four of the authors-Hulme, Menter, Murray and O'Doherty-consider some of the implications of the analyses from the earlier sections of the book. In particular they consider the extent of convergence or divergence between teacher education policy in the five nations and ways in which global forces are acting on each national system. The chapter then goes on to discuss the ways in which teacher education relates to the school systems and may or may not create greater social justice. The links between teacher education and citizenship in contemporary democracies are considered and the chapter concludes by considering the future both for teacher education itself across the nations but also for the future of teacher education research
Challenges of research(er) development in university schools of education: A Scottish case.
No full textFrom the 1990s the professional preparation of intending teachers in Scotland moved from monotechnic colleges to seven university schools of education. ‘Universitisation’ (Menter et al. 2006) created new opportunities for the creative adaptation of work cultures to value teaching and research. New appointments are expected to demonstrate research potential and to hold higher degrees. The need to build research capacity in and for teacher education is a recognised international priority and is particularly important given the demographic profile of the UK educational research community (Mills et al. 2006). Through a series of 19 semi-structured interviews in two schools of education located in research intensive universities in Scotland during 2009–10, this research explored: (1) the experiences and tactics of emerging researchers with teacher education roles; and (2) institutional strategies to promote research engagement and development. This small-scale exploratory study identifies diversity within the ‘academic tribes’ of teacher education (Bechler and Trowler 2001; Menter 2011) and suggests that research audits, in combination with political and economic influences on teacher education, may increase the bifurcation of research and teaching, inhibiting possibilities for productive interchange. A recalibration of school–university partnerships is suggested as one strategy to advance research-engaged professional education
Policy learning? Crisis, evidence and reinvention in the making of public policy
No full textThis article considers the role of evidence and prospects for collective deliberation in shaping policy and practice in straitened times. It draws on critical policy sociology to enhance existing perspectives on policy transfer. The article explores how ‘new professionalism’ in the public services intersects with the ‘new localism’ and current realities of public policy management. In recognising the limitations of ‘presentism’ in policy analysis, attention is afforded to the recuperation and selective reinvention of policy discourses deployed in previous systemic crises. In contrast to rational linear models of problem solving, alternative recursive deliberative approaches are suggested
Understanding 'success' and 'failure' in two case studies of collaborative technology: contexts, narrative and lenses.
No full textAfter first setting the scene for the development of IMS Learning Design (LD), this thesis details the creation of a LD test environment, along with interviews carried out with some of those involved in the development, implementation and research use of the specification. The creation of SPONGE (the Simplest Possible ONline Grouping Environment), a new software platform developed in response to the LD interview findings, is then documented. The rejection of SPONGE by teachers in a school environment provides the catalyst for an in-depth exploration of that school and the (largely non-technological) reasons for SPONGE's apparent failure. MegaTech and MiniTech, two explanatory lenses based on the work of van Langenhove and Harré, Heidegger, and Popper, are then created and used to revisit the rejection of LD and SPONGE (as two examples of functionally sound educational technologies) by practitioners.This research uses a multi-methodology (Mingers) approach, informed by Case Study (Yin), Realistic Evaluation (Pawson and Tilley) and Narratives (Clough). In addition, reflective elements are embedded at key moments in the thesis to facilitate a personal discussion of the challenges faced by this author and which prompted a significant change in research direction.This research makes the following contributions to knowledge.C1 A new analysis of why LD has not been widely adopted beyond the research community. [Chapters 5, 7, 8 and 9] C2 The initial validation of the analysis in C1 through its application in a contrasting educational and technical context (Hazelmere School). [Chapters 7, 8 and 9] C3 The in-depth picture of the use of educational technology in an extremely demanding environment (Hazelmere School). [Chapters 7 and 9] C4 The creation of MegaTech and MiniTech as explanatory lenses. [Chapter 8] C5 The application of MegaTech and MiniTech to more clearly explain the fate of LD and SPONGE. [Chapters 8 and 9] C6 The creation of SPONGE as a homogenous and open-standards compliant toolbox that focuses on immediacy and facilitates the spontaneous use of collaborative tools. [Chapter 6] C7 The creation of a self-contained and easily deployed LD test environment. [Chapter 4
Blockchain-based multi-layered federated extreme learning networks in connected vehicles
No full textIntelligent and networked vehicles help build an efficient vehicular network’s infrastructure. The widespread use of electronic software exposes these networks to cyber-attacks.Intrusion detection systems (IDS) are useful for preventing vehicle network assaults. IDS have been customized using machine and deep learning networks for greater real-time performance. Current learning-based intrusion detection systems demand substantial processing capabilities to train and update intricate training models in vehicular devices, resulting in decreased efficiency and ability to defend against assaults. This study presents Blockchain-based Multi-Layer Federated Extreme Learning Machines (MLFEM) enabled IDS (BEF-IDS) for safe data transfers. The proposed IDS leverages federated learning to generate Multi-Layered Extreme Learning Machines, which are offloaded to dispersed vehicular edge devices such as Road-Side Units (RSU) and connected vehicles. This federated strategy decreases resource use without sacrificing security. Blockchain technology records and shares training models, assuring network security. Using real-time data sets, the suggested algorithm’s performance under different attack scenarios were extensively tested. The suggested method obtained 98 % accuracy and Recall, 97.9% Precision, and 97.9% F1 Score performance, which suggests it’s incredibly secure and costs very little to transmit
Evaluation of neuro image for the diagnosis of Alzheimer's Disease using deep learning neural network
No full textAlzheimer’s Disease (AD) is a progressive, neurodegenerative brain disease and is an incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is identified at its initial stage. Therefore, an early analysis of AD is of fundamental importance for patient care and efficient treatment. Neuroimaging techniques aim to assist the physician in the diagnosis of brain disorders by using images. Positron emission tomography (PET) is a kind of neuroimaging technique employed to create 3D images of the brain. Due to many PET images, researchers attempted to develop computer-aided diagnosis (CAD) to differentiate normal control from AD. Most of the earlier methods used image processing techniques for preprocessing and attributes extraction and then developed a model or classifier to classify the brain images. As a result, the retrieved features had a significant impact on the recognition rate of previous techniques. A novel and enhanced CAD system based on a convolutional neural network (CNN) is formulated to address this issue, capable of discriminating normal control from Alzheimer’s disease patients. The proposed approach is evaluated using the 18FDG-PET images of 855 patients, including 635 normal control and 220 Alzheimer’s disease patients from the ADNI database. The result showed that the proposed CAD system yields an accuracy of 96%, a sensitivity of 96%, and a specificity of 94%, leading to splendid performance when related to the methods already in use that are specified in the literature
The influence of adolescent sport participation on body mass index tracking and the association between body mass index and self-esteem over a three-year period
No full textThis study aimed to (1) investigate gender-specific characteristics associated with low sport participation among UK adolescents, and (2) assess gender-specific BMI tracking, and gender-specific associations between BMI and self-esteem based on different levels of adolescent sport participation. Participants were 9046 (4523 female) UK adolescents. At 11- and 14 years self-esteem was self-reported and BMI was calculated from objectively measured height and weight. At 11- years sport participation was parent-reported. Gender-specific sport participation quartile cut-off values categorised boys and girls separately into four graded groups. Gender-specific χ2 and independent samples t tests assessed differences in measured variables between the lowest (Q1) and highest (Q4) sport participation quartiles. Adjusted linear regression analyses examined BMI tracking and associations between BMI and self-esteem scores. Gender-specific analyses were conducted separately for sport participation quartiles. Compared to Q4 boys and girls, Q1 boys and girls were more likely to be non-White, low family income, have overweight/obesity at 11 years and report lower self-esteem at 11 years and 14 years. BMI at 11 years was positively associated with BMI at 14 years for boys and girls across sport participation quartiles. BMI at 11 years was inversely associated with self-esteem scores at 11 years for Q1 and Q2 boys, and Q1 and Q4 girls. BMI at 11 years was inversely associated with self-esteem scores at 14 years for Q1, Q3 and Q4 boys, and Q1, Q2, Q3 and Q4 girls. Gender and sport participation influence BMI tracking and the BMI and self-esteem association among adolescents
Construction of hydrophobic fire retardant coating on cotton fabric using a layer-by-layer spray coating method
No full textMultifunctional cotton fabric was prepared through a two-step layer-by-layer spray coating method, where the first layer of the coating comprising chitosan and ammonium phytate provided fire retardancy, and the second one with PDMS-ZnO composite imparted hydrophobicity to the fabric. A molecular dynamics (MD) simulation study was carried out to calculate interfacial adhesion of different components of the coating, based on which the sequencing of the coating layers was determined and used to prepare coated samples. The coated fabric demonstrated a significant improvement in fire retardancy through an increase in LOI from 18 % in control to 30 %, a reduction in char length from 30 cm to 7 cm, and a decrease in peak and total heat release rate values by 75 % and 33 %, respectively. The hydrophobicity of coated fabric was tested via water drop test where coated sample maintained a contact angle of 148° for up to 120 s, while the control sample showed 0°. [Abstract copyright: Copyright © 2022 Elsevier B.V. All rights reserved.