7 research outputs found
Coaching for Emancipation: A framework of coaching in oppressive environments
This study aims to develop a theoretical and practical framework for the use of coaching in oppressive environments to support the emancipation and development of individuals. A review of the literature suggests that the dynamics of oppression affect every aspect of the human condition. Meanwhile, there is limited understanding of how to support individuals in liberating themselves from the implications of oppression. The study sets out to examine whether coaching can be used as an emancipatory approach, and aims to explore how the context of oppression affects coachees, coaches and the coaching process. Building on a cross-disciplinary review of emancipatory approaches, an initial coaching model was developed. Then, a cooperative inquiry was conducted with a group of twelve coaches from Egypt, who used the initial model with 22 coachees over six months. The first set of findings offers a theoretical view of the individual’s journey from oppression to emancipation, starting from feelings of helplessness and self-blame through a number of cycles that lead to actions of resistance and narratives of liberation. Findings suggest that oppression has implications for the individual’s cognitive and emotional development, and emphasise the role of emotions in enabling the emancipatory process. The second set of findings is organised into three coaching processes, each underpinned by a theoretical understanding of its dynamics, enablers and barriers, as well as a number of practical considerations to improve its effectiveness. The first process “Naming Oppression” suggests that coaching can support emancipation through encouraging coachees to use narratives to understand, externalise and re-author their life. The second process called “Renewing Beliefs” explores how coachees can use critical reflection to understand and challenge the social and psychological structures leading to their experience of oppression. The third process titled “Fighting Back” focuses on how coachees undertake actions to resist and break from the cycle of oppression and to discover new possibilities for change. The third set of findings suggests that coaches in oppressive environments face a complex web of philosophical, psychological, and practical challenges, and discusses the implications of these challenges on their development. The study offers a theoretical and practical foundation upon which coaching for emancipation can be built, and proposes the need for further research into the experience of coachees and most especially the emotional side of their experience
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Muslim medical travellers to the West: An actor-network theory analysis
Medical tourism is a rapidly expanding global industry valued at USD 100 billion. It includes various healthcare-related travel activities, from diagnostic procedures to rehabilitation. A significant proportion of medical travellers originate from Muslim-majority countries, particularly in the Middle East, while popular destinations include Western nations such as the USA, Germany, and the UK. This social context introduces unique complexities from religious and cultural differences, linguistic challenges, and diverse stakeholder involvement. Actor-network theory (ANT), with its emphasis on associations between human and non-human actors, provides a robust framework for analysing these complexities. By incorporating relational materiality and translation processes, ANT offers insights into the dynamic interactions shaping medical tourism networks. This study employs ANT to explore the understudied phenomenon of Muslim medical travellers to Western countries, using qualitative methodologies, including content analysis and interviews, to trace the interactions between the various human and non-human actors within this complex social order. The study results will help medical travel service providers understand the needs of Muslim medical travellers, who represent a significant market segment
A nucleon-nucleon non local interaction
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Solutions of some class of nonlinear PDEs in mathematical physics
AbstractIn this work, the modified simple equation (MSE) method is applied to some class of nonlinear PDEs, namely, a system of nonlinear PDEs, a (2+1)-dimensional nonlinear model generated by the Jaulent–Miodek hierarchy, and a generalized KdV equation with two power nonlinearities.As a result, exact traveling wave solutions involving parameters have been obtained for the considered nonlinear equations in a concise manner. When these parameters are chosen as special values, the solitary wave solutions are derived. It is shown that the proposed technique provides a more powerful mathematical tool for constructing exact solutions for a broad variety of nonlinear PDEs in mathematical physics
Modelling of Bifacial Gain for Stand-alone and in-field Installed Bifacial PV Modules
AbstractBifacial solar cells enable the absorption of light also by the cell's rear side, hence increasing the energy yield of a bifacial module, Yb compared to the energy yield of a monofacial module installed under the same conditions, Ym, by BG = (Yb - Ym) / Ym, the bifacial gain. This contribution presents a simulation model for the prediction of the BG of bifacial PV modules (stand-alone and integrated in a PV field). The model has been implemented as a software tool and the results obtained by applying the tool to various relevant system configurations (ground albedo, geographical locations, module height and tilt, diffuse irradiation fraction) are shown. These results allow to determine the optimum installation parameters for highest BG for a given installation site. Finally, the tool is validated by comparing the simulated results with the actual BG monitored on bifacial modules during several months on an outdoor testing site
Internet of Personalized and Autonomous Things (IoPAT)
IoT devices are permeating every corner of our lives today paving the road for more substantial smart systems. Despite their ability to collect and analyze a significant amount of sensory data, traditional IoT typically depends on fixed policies and schedules to enhance user experience. However, fixed policies that do not account for variations in human mood, reactions, and expectations, fail to achieve the promised user experience. In this paper, we propose an architecture for personalized and autonomous IoT systems that weaves personalization and context-awareness into the very fabric of smart systems. By building upon ideas from reinforcement learning, we show—using an example of smart and personalized home services—how the proposed architecture can adapt to human behaviors that are varying between individuals and vary, for the same individual, across time while addressing some of the security and privacy challenges.This research was supported in part by the U.S. Army Research Laboratory under Cooperative Agreement W911NF-17-2-0196, by the National Science Foundation under award # OAC-1640813 and IIS-1636916, and the King Abdullah University of Science and Technology (KAUST) through its Sensor Innovation research program. The Microsoft Research PhD Fellowship has supported Salma Elmalaki. Any findings in this material are those of the author(s) and do not reflect the views of any of the above funding agencies. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon
Cohort Profile: The International Collaboration of Incident HIV and Hepatitis C in Injecting Cohorts (InC3) Study.
The International Collaboration of Incident HIV and Hepatitis C in Injecting Cohorts (InC3) Study is an international multi-cohort project of pooled biological and behavioural data from nine prospective cohorts of people who inject drugs (PWID). InC3 brings together researchers from Australia, Canada, USA and the Netherlands with expertise in epidemiology, biostatistics, clinical and behavioural sciences, virology and immunology to investigate research questions relevant to hepatitis C virus (HCV) and HIV outcomes. InC3 was established to: (i) create a merged multi-cohort study of pooled data from well-characterized cohorts of PWID with prospective data on HIV and HCV infections, with a particular focus on HCV; (ii) facilitate new studies not possible within individual cohorts; and (iii) bring together researchers across disciplines to answer a broad range of research questions. Study cohorts identify acute HCV cases through follow-up of high-risk HCV antibody-negative PWID or through clinical referral networks. To date, data from 1986 to 2010 have been received from all contributing cohorts, with 821 HCV-infected and 1216 HCV-uninfected participants (overall, n = 2037). Data collected include demographics, host genetics, HCV ribonucleic acid testing, alanine aminotransferase testing, HIV/hepatitis B virus testing, HCV therapy, loss to follow-up and mortality. Potential collaborators should contact the InC3 PI Dr Kimberley Page ([email protected]) for further information. Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2012; all rights reserved
