Browsing by Author "Wagner, Joan"

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Open Access
Celebration Of Authorship Program 2017-2018
(University of Regina Library, 2018) Anderson, Carl; Barber, Patrick Wayne; Archibald-Barber, Jesse Rae; Bowen, Gail; Brooks, Harrison; Bundock, Chris; Campbell, Anne; Conway, John F.; Cote, Mark; Coupal, Chelsea; Cranston, Jerome; Elliott, Patricia W; Helewa, Sami S.J.; Hadjistavropoulos, Thomas; Kikulwe, Daniel; Koops, Sheena; Betterige, Robert; Coucill, Jim; Crowe, June; Dube, Mary-Anne; Duncan, Joyce; Helstrom, Cheri; Juby, Bob; Kellendonk, Alice; Leier, Kathryn; Lundahl, Bev; McDonald, Ian; Millard, Ivan; Mitchell, June; Nawrocki, Lucille; Paul, Linda; Quinn, Trevor; Shirkie, Bob; Stankewick, Kelly; Thurm, Shirely; Tirk, Ron; Tunison, Wayne; Tutt, Sherrie; Wells, Sarah; Whippler, Hazel; Whitaker, Christine; Wigmore, Morena; Wood, Gerri; McNinch, James; Meisner, Dwayne; Owl, Natalie; Atter, Heidi; Ellis, Brendan; Ermine, Annette; Giesbrecht, Lynne; Konkel, Alec; Lawlor, Alexa; Noyes, Jayda; Poplyansky, Michael; Sauchyn, David J.; Schubert, Josef; Sherbert, Gerry; Spooner, Mark; Stewart, Douglas; Wagner, Joan; Yoh, Abdoulaye
Open Access
EEG Feature Extraction and Pattern Recognition Based on Chaotic Systems
(Faculty of Graduate Studies and Research, University of Regina, 2018-12) Pulayamparambil Sunny, Jobin; Zhang, Lei; Paranjape, Raman; Laforge, Paul; Wagner, Joan; Yao, JingTao
Nonlinear dynamical systems exhibit a wide variety of dynamic behaviour, including chaotic dynamics. Previous studies have reported the chaotic nature of EEG (Electroencephalogram) signals and various feature extraction techniques for pattern recognition. This work is an effort to investigate the complex underlying dynamics of chaotic systems and to develop a machine learning based pattern recognition and feature extraction of EEG signals for computer aided diagnosis of depression. Chaotic systems which are designed by known equations can be easily controlled and is possible to predict future values, on the other hand, EEG signals are prone to noise and the available data is limited. To this end, this thesis first develops a novel extension of ANN(Artificial Neural Networks) based modelling for chaotic systems. The Rossler’s and Chua’s systems are used for the study. A NARX (Nonlinear Autoregressive Exogenous) model is proposed to train bifurcation patterns of chaotic systems and performance of various NARX topologies in modelling the bifurcation patterns is estimated. Previous efforts to model an attractor were based on open loop ANN models, a feedback ANN model is proposed by the author to evaluate the modelling performance. MLP (Multilayer Perceptron) and RBFN (Radial Basis Function Network) are studied and employed to model an attractor and a comparison of the MSE(Mean Squared Error) performance between two systems based on the computational cost is done. The dynamic invariants of the modelled signals are estimated and compared with the output of the original signals. Finally, a qualitative study of the modelling system is generated, which includes superposition of model on top of original output plots and calculating the model run time. The second part of the thesis talks about pattern recognition and classification of EEG signals of depression subjects from healthy controls based on chaotic systems. Temporal features and temporal-spectral features are extracted from the EEG data collected from subjects suffering from depression, a psychiatric neural disorder collected and a comparison of the pattern recognition performance is done. The pattern recognition of chaotic systems: Lorenz, Rossler and Chen systems is formulated into a two-class classification task and evaluated first. Both statistical and ANN based classifiers such as Decision tree, K-NN(K-Nearest Neighbor), SVM(Support Vector Machine), MLP and kfold cross validation of MLP are used for the study. . Insomnia and narcolepsy are the two main depression symptoms shown by subjects and data are collected from publicly available databases. Diagnosing depression in the early curable stage is very important. The computer aided depression diagnosis uses machine learning classifiers to recognize EEG data of people showing depression symptoms and classifies it from the control set. . The results are compared with previous studies and found to be superior in terms of performance and complexity of the techniques used.
Open Access
How Spirituality Training impacts the Practice of Social Workers Assisting Elderly Clients in End-of-Live Care: A Hermeneutical Phenomenological Approach
(Faculty of Graduate Studies and Research, University of Regina, 2015-03) Goldberg, Michael Jordan; Genoe, Rebecca; Hampton, Mary; Novik, Nuelle; Wagner, Joan
Social workers in end-of-life care settings are presented with many challenges. They are not only confronted by the common stressors associated with death and dying, but also with the existential concerns of the patients and their families. Social workers typically outnumber spiritual advisors or chaplains in a hospice palliative care unit, and therefore have more frequent exposure to these needs of the patients. As an elderly patient, in particular, approaches end-of-life, the notions of religion and spirituality can take on a more significant role in acceptance of mortality. Social workers have reported reluctance in addressing the spiritual matters of their patients and have also expressed feeling ill equipped to deal with these issues. Spirituality training seminars have been linked with significant improvements in self-perceived compassion for the dying, compassion for oneself, and in reducing work-place stress. The research goal for this project was to seek to understand how spirituality and current spirituality training impacts the practice of social workers assisting elderly clients in end-of-life care settings. A secondary goal of this study was to explore the phenomenon of what it is like to deliver spiritual care as an end-of-life care social worker. A tertiary goal was to define and describe the nature of spirituality as social workers in hospice and palliative care settings conceive of it today. This study employed a hermeneutic phenomenological research approach (Gadamer, 1998) to explore the experience of five social workers in a local hospice/palliative care setting utilizing spirituality training with their elderly clients. Participants were sampled based on convenience from the cities of Winnipeg and Regina. Themes relating to the impact of spirituality training on participants’ practice emerging from the data include: feeling poised in difficult circumstances, appreciating different perspectives, complementing innate skills, and perception of greater connection. The themes emerging from data relating to how participants experience delivery of spiritual care include: being curious and aware, listening and being present, and drawing on interdisciplinary teams. Finally, the main themes expressing how participants describe spirituality are: the disparity between spirituality and religiosity, belief in a greater power, feeling of connectivity, and the pursuit of meaning and purpose. The conclusions of this research help to illuminate how spirituality training exercises are implemented in practice, as well as provide a better understanding of how spirituality education could be integrated into the post-secondary curriculum of social work study.
Open Access
Impact of COVID-19 on Women Who Are Refugees and Mothering: A Critical Ethnographic Study
(SAGE Publications, 2022-01) Hirani, Shela; Wagner, Joan
Refugee women often experience trauma and social disconnection in a new country and are at risk of experiencing reduced physical, mental, and emotional well-being. Globally, COVID-19 has affected the health and well-being of the population at large. This critical ethnographic study aimed to explore the effects of COVID-19 on women who are refugees and mothering in Saskatchewan, Canada. In-depth interviews were undertaken with 27 women who are refugees and mothering young children aged 2 years and under. This study suggests that during COVID-19, refugee women are at high risk of experiencing add-on stressors due to isolation, difficulty in accessing health care, COVID-19-related restrictions in hospitals, limited follow-up care, limited social support, financial difficulties, and compromised nutrition. During COVID-19, collaborative efforts by nurses, other health-care professionals, and governmental and non-governmental organizations are essential to provide need-based mental health support, skills-building programs, nutritional counseling, and follow-up care to this vulnerable group.
Open Access
Intimate Partner Abuse and Older Women: Exploring the Connection Between Abuse, Ageing and Health
(Faculty of Graduate Studies and Research, University of Regina, 2018-03) Taylor, Meagan Lee; Hampton, Mary; Wagner, Joan; Genoe, Rebecca; Durst, Douglas
Intimate Partner Abuse (IPA) has been shown to negatively affect health in ageing women (McGarry et al., 2010). As the population in Canada matures, understanding how IPA affects and intersects with health and ageing becomes important for women, our health care system and governments. This research explores perspectives of women over 65, who have experienced IPA in an earlier stage of their lives, and how this experience intersects and affects with their health and ageing. The experiences of ten women who have lived through IPA relationships are investigated using the qualitative method of grounded theory. The significance of this research is three-fold. First, it serves to generate awareness about women’s perceptions of their own health and aging processes following IPA. Second, it adds to what is known about older women who have experienced abuse. And finally, this research has the potential to improve health care for older women who have experienced abuse.
Open Access
Leadership and Influencing Change in Nursing
(University of Regina Press, Jun-18) Willcox, Amanda; Sutherland Boal, Anne; de Padua, Anthony; Balaski, Beverly; Ens, Brendalynn; Toye, Colleen R.; Wagner, Joan; Boychuk Duchscher, Judy; Racine, Louise; Little, Lisa; MacPhee, Maura; Rabbitskin, Norma; Davies, Shauna; Muller, Stacy; Bazylewski, Susan; Udod, Sonia; Whitebear, Wendy; Harris, Yvonne
Leadership and Influencing Change in Nursing is designed for a single-semester introduction to the professional nurse’s leadership role as both a care provider and a formal leader. Nursing students will take this course in their third year as they prepare to assume a professional nursing role within the clinical health care environment. An assortment of authors with diverse nursing leadership roles across Saskatchewan and Canada have contributed to this textbook. These diverse voices are focused on providing student nurses with the foundational tools, techniques, and knowledge required to empower them to meet the leadership challenges found within the ever-changing Canadian health care environment. Assembling this information using an online format allows for the material to be updated regularly so as to keep pace with the rapid expansion of knowledge.
Open Access
University of Regina Community Authors 2017-2018
(University of Regina Library, 2018) Cote, Mark; Barber, Patrick Wayne; Schubert, Josef; Stewart, Douglas; Bundock, Chris; Spooner, Mark; McNinch, James; Helewa, Sami S.J.; Poplyansky, Michael; Yoh, Abdoulaye; Meisner, Dwayne; Sherbert, Gerry; Hadjistavropoulos, Thomas; Koops, Sheena; Coupal, Chelsea; Campbell, Anne; Wagner, Joan; Billan, Jennifer L.; Oleson, Eric J.; Owl, Natalie; Archibald-Barber, Jesse Rae; Conway, John F.; Kikulwe, Daniel; Sauchyn, David J.; Anderson, Carl; Cranston, Jerome; Atter, Heidi; Brooks, Harrison; Ellis, Brendan; Ermine, Annette; Giesbrecht, Lynne; Konkel, Alec; Lawlor, Alexa; Noyes, Jayda; Bowen, Gail; Elliott, Patricia W