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Self-talk: research challenges and opportunities
No full textIn this review, we discuss major measurement and methodological challenges to studying self-talk. We review the assessment of self-talk frequency, studying self-talk in its natural context, personal pronoun usage within self-talk, experiential sampling methods, and the experimental manipulation of self-talk. We highlight new possible research opportunities and discuss recent advances such as brain imaging studies of self-talk, the use of self-talk by robots, and measurement of self-talk in aphasic patients.Peer reviewedself-talkinternal dialogueinner speechresearch challengesmethodological challengesmeasurement challeng
Exploring the experiences of young people in wellness programs
No full textPresentation delivered at the Canadian Therapeutic Recreation Association (CTRA) Conference, Jasper, Alberta (May 10-12, 2023).
Exploring the experiences of young people and staff in the Foundry Wellness Program within integrated youth services in Canada. This oral presentation explores findings which impact self-reported health and social connections for young people, and relates primarily to advancement of the profession. Using a participatory action approach, a collaborative team was formed with youth peer evaluators and researchers.Conference Presentatio
Public safety, integration, and citizenship: An analysis of the policies and practices of sanctuary cities
No full textPresentation delivered at the Pacific Sociological Association Conference, Bellevue, Washington (March 30 - April 2, 2023). This presentation explores the role of sanctuary cities as pro-immigrant spaces that potentially shape integration and citizenship.Presentatio
Regulations and the environment: The Canadian environment
No full textEnvironmental scientists need to know their regulations. Some scientists will even have to work with the legal system. Even environmental researchers need to stay in compliance. No matter the environmental field of study, environmental concerns are heavily regulated. So, a career in environmental science will bring the professional into close contact with regulations. Including regulating the profession itself. The professional might be applying for a permit, completing a form or helping to keep an organization in compliance. This means that every professional must have some understanding of the law and how regulations work. We are going to examine the Canadian context. Canada is heavily influenced by the United States of America (US) and by the United Kingdom (UK). We have inherited a system that is based heavily on the UK experience, so the occasional UK reference is interesting. The following chapters will help introduce some basic concepts and some important Canadian regulations.bookURL to Open Education Alberta has multiple download formats available. Project supported by Mount Royal University.environmentregulationcomplianceCanadala
A novel deep unsupervised learning method for sum-rate optimization in device-to-device networks with a quality-of-service constraint
No full textThis study introduces a new Deep Unsupervised Learning (DUL) approach based on an optimization problem with box constraints coupled with polytope constraints for maximizing the sum rate in Device-to-Device (D2D) networks, a key factor in enhancing network capacity and efficiency. Current deep learning methods struggle with managing resource-intensive projection steps and need multiple iterations to optimize the sum rate in varying D2D environments. The proposed approach overcomes these challenges by minimizing the loss function and satisfying constraints when dealing with a monotone matrix. The novel approach controls transmit power through a fully connected, multi-layer Deep Neural Network (DNN), solving the complex, non-convex optimization problem associated with optimizing the sum rate in a symmetric interference channel model. The result shows that this method outperforms other power control methods regarding average sum rate, hit rate, and complexity when applied to a standard symmetric K-user Gaussian interference channel.D2D communicationsum-rate optimizationdeep learning (DL)unsupervised learning (UL)box constraintsmonotone matri
Blockchain in project management
No full textProject management involves organizing resources and activities to achieve specific
objectives within time and budget. However, conventional project management methods can be
inefficient, error-prone, leading to communication challenges and disputes. This research paper
proposes new framework called Smart Contract Project Management Framework (SCPMF) and
explores the advantages and obstacles associated with implementing it, combining Rule Engines
and blockchain technology to improve project management transparency, accountability, and
security. The paper provides an overview of SCPMF and its applications in project planning,
resource management, and contract management while discussing the benefits and challenges of
implementing SCPMF in project management. The paper concludes by explained the limitations
in future research and highlights the potential of SCPMF to revolutionize project management.Course code: MBAR 661 (Consulting research project); Faculty supervisor: Dr. Hamed TaherdoostSmart contractProject managementReal-time monitoringAutomated contract executionImmutable record-keepingBlockchainRule engineSmart contract
Water and its politics
No full textThis zine was created as an assignment for a Global Learning Global Citizenship class (GLGC 1101) with Douglas College instructor Janice Sestan. Students created zines exploring and expressing personal passion related to the advocacy of a chosen United Nations Sustainable Development Goal (SDG)
Investigating the feasibility of using scent detection dogs to locate bat hibernacula in a coastal temperate rainforest
No full textLittle brown bat (Myotis lucifugus) populations have dramatically declined in North America as a result of white-nose syndrome, a fungal pathogen. The identification and protection of hibernacula is important to conservation efforts for the species. Little brown bats in western North America use a greater variety of hibernacula structures than their conspecifics in other portions of the continent, however relatively few have been identified. Existing techniques for locating hibernacula are limited and not conducive to all habitats; new methods are needed. The objectives of my research were to investigate whether a combination of scent detection dogs and game cameras at rocky outcrops could identify entrances to little brown bat hibernacula occurring in the Milieu Souterrain Superficiel (MSS) of Southeast Alaska during summer swarming. Additionally, I described swarming activity at swarming sites and hibernacula in Southeast Alaska to determine if specific behaviours during swarming were likely to be predictive of hibernation at that site. Using trained scent-detection dogs and game cameras, I identified six new hibernacula along ridges where bats were known to overwinter. Using cameras, I found that sites where bats were observed making u-turn behaviours were later used for hibernation, and that sites where circling and crawling behaviours were observed were less likely to be used as hibernacula. When bats were recorded at sites during the swarming period was also related to whether sites were used over winter; sites with more videos recorded during 26 August ̵ 8 September were more likely to be used as hibernacula. I conclude that it is possible to use scent detection dogs and game cameras at crevices during summer swarming to identify hibernacula in the MSS. Surveying with dogs will be most effective in areas with
accessible habitat with recent bat use. A multipronged approach incorporating multiple tools, such as using radiotelemetry to broadly identify areas to search or using acoustic detectors to monitor bat activity levels prior to surveying, may increase the efficacy of the method