33 research outputs found
Study of alexithymia among people with low distress tolerance compared to non-clinical sample
Get PDFBackground: Alexithymia is a personality construct described as an asymptomatic clinical disability to identify and describe individual feelings. Individuals with alexithymia have difficulties regarding distress tolerance. The present research aimed at studying alexithymia among people with low distress tolerance in comparison to non-clinical sample.
Methods: The study population consisted of all male employees working for General Education Office of Kermanshah Province, Iran. A total of 300 individuals from among these employees were selected based on Morgan table using multistep clustering method. Demographic data questionnaire, Toronto alexithymia scale, and distress tolerance questionnaire were used for data collection.
Results: Mean (SD) score for tolerance, attracting, Assessment and Regulation were 7.3 (2.74), 8.4 (3.20), 16.8 (4.99), and 6.7 (2.63), respectively, in the normal group and 22.54 (6.07), 17 (4.28), 30.67 (6.65), and 30.50 (74.6) in the group with low distress tolerance. independent t-test showed that low distress tolerance group had significantly higher score regarding tolerance, absorption, evaluation, and regulation in comparison with the normal group (P<0.001).
Conclusion: Findings of the present study can help psychologists and counsellors to pay more attention in alexithymia among people with Low Distress Tolerance to help them for better adaptability and confrontation ability against life difficulties such as distress, and ultimately for better health
Th Eye Inside: Remote Biosensing Technologies in Healthcare and the Law
No full textThis article focuses on the potential legal impacts of healthcare technologies that can record and remotely transmit biometric data, what the author calls Remote Biosensing Technologies. The legal relevance of remotely recorded biometric data is explained by examining how it can be used in three legal contexts: personal injury cases, search warrants, and informed consent. Within each of these contexts, the author draws from Canadian case law to show how existing legal principles can be modified when dealing with Remote Biosensing Technologies to protect privacy and autonomy while also maximizing the legal utility of the resulting data. The author concludes with recommendations aimed at achieving the immense medical potential made possible by Remote Biosensing Technologies while avoiding the potential harms to individual autonomy posed by the application of the legal gaze
A comparative investigation of mental health and happiness among elderlies living at home and at nursing home
No full textCannabis Use and Mental Health Among Youth: Epidemiology, Population Interventions, and Health Promotion in Canada
No full textWhile cannabis is legalized in Canada, there are mental health risks associated with its use among youth aged 15-24. Youth in this age group are especially vulnerable to developing cannabis use disorders, and early initiation of cannabis use during adolescence is significantly associated with developing mental health conditions such as psychosis and schizophrenia. Public health strategies can be improved by complementing the current abstinence approach for non-users with a harm reduction approach for already-users to destigmatize help-seeking behaviour for those who require support. This narrative review highlights cannabis epidemiology, evaluates current public health strategies, and emphasizes cross-sectoral collaboration as a systemic mechanism for achieving health promotion among youth in Canada. Finally, the author provides commentary on the potential role of the COVID-19 pandemic in influencing trends and patterns related to cannabis use and health promotion campaigns
Improving Tale Blazer analytics
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (page 61).TaleBlazer is a platform for creating and playing augmented reality location-based mobile games. TaleBlazer Analytics is an automated system for collecting and analyzing anonymized player data from these games. This thesis presents additions and improvements made to TaleBlazer Analytics to allow for a more in-depth view of data from individual games, as well as aggregated across games. The updated system will ultimately help researchers, game designers, partner organizations, and the TaleBlazer development team in better understanding how users play TaleBlazer games.by Sarah R. Edris.M. Eng
Planned mode of delivery after previous cesarean section and short-term maternal and perinatal outcomes : A population-based record linkage cohort study in Scotland
Get PDFThe authors would like to acknowledge the support of the eDRIS Team (National Services Scotland) for their involvement in obtaining approvals and provisioning and linking data and the use of the secure analytical platform within the National Safe Haven. Funding: KEF is funded by a National Institute for Health Research (NIHR) Doctoral Research Fellowship (DRF-2016-09-078) for this research project. This paper presents independent research. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewe
ZKPVM: a zero-knowledge authentication protocol for VMs' live migration in mobile cloud computing
No full textMobile cloud computing is a model in which mobile applications are built, powered and hosted using cloud computing technology. Mobile devices with their limited resources will be accessing a wide variety of these cloud-based services such as video/audio streaming and online gaming. In order to improve the performance of this model, cloud-based services need to become aware of the movement of the mobile devices and to be launched closer to the demand. Such a requirement becomes achievable through virtual machine live migration , a feature that is currently supported in all virtualization platforms. Virtual machine live migration is widely performed in the data centres of the Cloud, for the purposes of load balance, reliability, availability, hardware maintenance and system upgrade. It entails moving all the state information of the virtual machine being migrated, including memory state, network state and storage state, from one physical server to another within the same data center or across different data centers. The security aspect of live migration has not been fully addressed yet. Some proposals rely on trusted third-parties for generating and producing the security parameters. Others assume the presence of pre-shared security parameters between the source and destination cloud providers. The author argues that such assumptions might not always be feasible in open, large scale cloud environment. Therefore, this paper introduces ZKPVM, a new authentication and key agreement protocol for securing virtual machine migration. The protocol is based on zero-knowledge authentication; it requires no knowledge between the source and destination cloud providers prior to the migration and it also does not demand the presence of a third-party. ZKPVM is formally verified using AVISPA formal methods and it is proven to meet a number of desired security properties
MNE knowledge networks in the pharmaceutical industry: the international geography and strategy of knowledge sourcing and diffusion
No full textThis dissertation examines the evolution of the international knowledge network of leading MNEs in the pharmaceutical industry from 1976 to 2016. It is organized into eight chapters, including three novel empirical studies on the geography and strategy of knowledge sourcing for technology creation, the subsequent use of new applications, and the reciprocal exchange of knowledge. We begin with a literature review on a line of work which can be traced back to an earlier question, ‘under what conditions do MNEs source technology internationally through a network of geographically dispersed affiliates?’. We then provide an analytical structure for which the histories of the pharmaceutical industry are told in Chapter 3. We elaborate on a set of potential research questions arising from this reflective presentation of the historical background of the industry, and describe the organization of the data used in our empirical studies in Chapter 4. We use patents granted between 1976 and 2016 by the US Patent and Trademark Office (USTPO) to examine the sources or antecedents of technological knowledge over time, arranged by the originating organization and its sector of activity as well as the location of inventors. Using these data, we aim to answer questions related to the geographic and strategic dimension of MNE knowledge structures in three studies. In chapter 5 (Study 1), we examine how sourcing patterns may differ depending on the extent to which foreign subunits focus on competence creating (CC) vs competence exploiting (CE) types of inventive activities. In chapter 6, (Study 2), we investigate patterns of intra-MNE diffusion of CC innovations to the home and within the host country settings. In chapter 7 (Study 3), we examine the degree to which geographic profiles of MNEs regulate their interaction with other firms in the industry. Our dissertation offers a neglected way to examine the sourcing activities of contemporary MNEs and provides new insights on patterns of technological knowledge building within and between organizational and spatial boundaries, and their consequences.Ph.D.Includes bibliographical reference
Improving protection reliability of series-compensated transmission lines by a fault detection method through an ML-based model
No full textPublisher Copyright: © 2024 The Author(s). IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.This article addresses the distance protection challenges associated with the series-compensated transmission lines and the impact of fault resistance by employing a machine-learning model. In the proposed model, stacked layers of bidirectional long short-term memory (Bi-LSTM) cells are fed by voltage and current signals to distinguish between different fault scenarios. This method takes advantage of only local bus measurements to prevent information leakage in communication channels. Moreover, to make the proposed method harmonics-robust and improve the correlation interpretation between the features for the Bi-LSTM model, the 3-phase raw measurement signals are passed through a discrete Fourier transform (DFT) which extracts their fundamental frequency component magnitudes and angles. Then, an extensive amount of fault scenarios including different compensation levels, fault resistances, and fault locations in normal and power-swing operational conditions are simulated to train the model. Finally, to validate the performance of the proposed protection method in the series-compensated transmission lines, distinctive studies are also carried out based on electromagnetic transient simulations. The obtained results confirm the remarkable performance of the proposed method in discriminating fault types, faulty phases, internal or external faults, and normal or power-swing conditions of the power system.Peer reviewe
Is initial excision of cutaneous melanoma by General Practitioners (GPs) dangerous? Comparing patient outcomes following excision of melanoma by GPs or in hospital using national datasets and meta-analysis
Get PDFFunding The project was funded by a grant from the Friends of Anchor (grant number RG12991-10). The funder had no role in writing the manuscript or deciding to submit for publication. No payment was received by any of the authors to write this article from any agency. The corresponding author had full access to all the data in the study and had final responsibility for deciding to submit this manuscript for publication. Data sharing The data used for this study are archived within the NHS Scotland National Statistics Service (NSS) National Safe Haven and are not freely available. Bona fide researchers wishing to access the data should apply to the authors in the first instance. Subsequent access to the data would be subject to application to, and approval by, the Public Benefit and Privacy Panel for Health & Social Care (PBPP) of NHS Scotland. Acknowledgements We acknowledge support received from Lizzie Nicholson at eDRIS, NHS Scotland and Doug Kidd at the National Data SafeHaven of NHS Scotland. We acknowledge Dr. Fiona Walter, Principal Researcher in Primary Care Cancer Research, University of Cambridge and Dr. Rosalind Adam, CSO Doctoral Fellow, Division of Applied Health Sciences, University of Aberdeen who both read and commented on our manuscript.Peer reviewe
