SACM - Canada
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9651
Browse
Item Restricted A Biofeedback-Based Physical Activity Advisory System(Saudi Digital Library) HAWAZIN FAIZ A BADAWI; Prof. Abdulmotaleb El Saddik1 0Item Restricted A Blockchain-Based IoT Trust Model(Saudi Digital Library) SARAH AYIDH SAAD ASIRI; Ali Miri2 0Item Restricted A case Study of Zabiba and the King's Translation Into English(Saudi Digital Library) WASILAH OMAR S CHARBENNY; Aurelia Klimkiewicz0 0Item Restricted A Cluster Multi-Spacecraft Study of Earth's Bow Shock(Saudi Digital Library) THAMER YOSEF S ALREFAY; Abdelhaq M Hamza0 0Item Restricted A COLLABORATIVE ACCESS CONTROL MODEL FOR SHARED ITEMS IN ONLINE SOCIAL NETWORKS(Saudi Digital Library) HANAA AMIR M ALSHAREEF; Dr. Sylvia Osborn1 0Item Restricted A Comparative Case Study: Exploring Health System Governance in Canada and Saudi Arabia(Western University, 2024) Almalki, Fawziah; Oudshoorn, Abe; Tryphonopoulos, Panagiota; Smith, Maxwell; Muntaner, CarlesHealth systems and health system outcomes are incredibly complex. To understand how they function, researchers explore individual components of the system, in the study herein the component is ‘governance’. Research to date has demonstrated a positive relationship between governance and population health outcomes. Governance, therefore, may be a concept that assists in understanding differential health outcomes of seemingly comparable countries. This study aims to explore macro-level governance, particularly the two sub-concepts of ‘government effectiveness’ and ‘perceived corruption’, in two countries: Saudi Arabia and Canada. Government effectiveness reflects the quality of public health policy development and implementation, and how much the government adheres to these policies. These comparator countries are selected as they share similarities on three levels, economy, population size, and free basic healthcare; yet differ significantly in governance models. A case study methodology as described by Stake (1995), guided this study. This study is particularly a comparative case study design with a focus on qualitative data. The data will be used to understand in-depth nuances of governance in health systems. Two overarching questions guided this study, one for each of the sub-concepts: 1) How the government effectiveness process, in terms of health policy development and implementation, unfolds within the health system in Saudi Arabia and Canada. 2) How corruption, as an aspect of governance, is present within health systems. This work is framed within a critical theoretical perspective. Concerns about good governance and corruption that guide this work is to the purpose of seeking the best health outcomes for all people. Governance as a whole, and sub-concepts of government effectiveness and corruption, are all amenable to change and improvement. To engage with system complexity, multiple data sources were utilized within this case study. Primary data consisted of interviewing 32 participants (15 in Canada and 17 in Saudi Arabia) who work in the health system in service provision, research, policy, management, or education. Secondary data included government documents about health system structure and strategies at the macro level. Data collection was conducted through two phases. Phase one of data collection involved in-depth interviews with experts across the health systems. The interviews were conducted in both English and Arabic. Documents for analysis were collected and accessed through official websites of governments or Ministries of health, and healthcare organizations, and scientific databases. These documents were analyzed via Critical Discourse Analysis (CDA) as outlined by Van Dijk (1993) and Mullet (2018). The findings are divided into three foci as three chapters: 1) a methodological piece on conducting bilingual research; 2) the nature of government effectiveness; and 3) the nature of corruption in health systems. Conducting research in a language not spoken by all the research team members is relatively common, yet addressing the nuanced details of implementing bilingual work has limited guidance within extant literature. This includes consideration of promising practices for concept development, translation, data analysis, and presenting the findings. This chapter is an exploration of the strengths and limitations of doing bilingual research, and recommendations regarding these aforementioned issues from our own experiences. Ultimately, it is proposed that via bilingual research, the accumulation of knowledge pertaining to qualitative research concepts, translation, analysis, and dissemination of comprehensive frameworks can be enacted, ultimately enhancing the rigour of qualitative research and increasing confidence in applying knowledge created in the chosen language of participants. Findings on government effectiveness in health systems in both Canada and Saudi Arabia are presented in four themes. These four themes are: 1) Health is Political, 2) Health System Privatization, 3) An Outdated System vs. A System that is Catching Up, and 4) Social Determinants of Health (SDoH) and Cross-Sectoral Collaboration. Recommendations are provided on how to better identify elements of government effectiveness and integrate them with the SDoH in order to enhance system effectiveness and improve the health of populations. For the chapter on corruption, it is noted that Governance is a complex theoretical concept that includes the sub-concept of ‘corruption’. A very ‘loaded’ term, this study sought to understand how corruption is present in health systems, often in very subtle ways. Findings illustrate how corruption is still a relevant concept in advanced health systems and can include both subtle and even overt forms within Canadian and Saudi health systems. This is explained in three themes: 1) Corruption in Wealthy Nations: Subtle Opportunism; 2) Nepotism and Professional Courtesy; and 3) A Strict System vs A Relaxed System. This analysis uncovers nuanced forms of potential personal gain within Canadian and Saudi health systems that make the concept of corruption still a timely concern. Addressing these risks must be seen as a collective obligation, where healthcare providers identify and report cases of potential corruption, managers prevent and address opportunities for personal gain, and researchers study how to develop policies and processes that are most immune to corruption. Ultimately, this study continues to unpack the complex ways that health systems are actualized, looking particularly at the concept of governance, and selected sub-concepts of government effectiveness and corruption.28 0Item Restricted A Comparative Study of Ensemble Active Learning(Saudi Digital Library) RABAA SALEH A ALABDULRAHMAN; Prof. Herna Viktor1 0Item Restricted A Comparative Study of Ridge, LASSO and Elastic net Estimators(Saudi Digital Library) MEAAD ABDULLAH AHMED ALDABAL; Professor Ehsanes SalehThe focus of this thesis is to review the three basic penalty estimators, namely, ridge regression estimator, LASSO, and elastic net estimator in the light of the deficiencies of least-squares estimator. Ill-conditioned design matrix is the major source of problem in this case. To overcome this problem, ridge regression was developed, and it opened the door for penalty estimators. Its impact is visible with various linear and non-linear models. A superb discovery in the class of subset selection is the LASSO (Least Absolute Shrinkage and Selection Operator) which selects subsets and estimates the coefficients simultaneously. Finally, we consider the elastic net penalty estimator which combine the L$_{1}$\ and L$_{2}$\ penalty function. Resulting estimator is weighted LASSO by ridge factor. We obtain the L$_{2}$-risk expressions and compare with pre-test and Stein-type estimators. For the location model, we discovered that the naive elastic net is better than elastic net estimators as opposed to the conclusion in the current literature. On the other hand in case of regression model, the elastic net performs reasonably compared to LASSO and ridge regression.2 0Item Restricted A Data Mining Approach for Predicting Delirium After Cardiac Surgery(Saudi Digital Library) HANI NABEEL M MUFTI; Raza Abidi and Greg Hirsch2 0Item Restricted A Decision Aiding Framework for Concentrated Solar Thermal Power Technologies Assessment in Developing Countries(Saudi Digital Library) ABDULRAHMAN IBRAHIM Y KASSEM; Dr. Andrea Schiffauerova and Dr. Kamal Al-Haddad0 0Item Restricted A Design and Evaluation of a Secure Neighborhood Awareness Framework for Vehicular Ad-Hoc Networks(Saudi Digital Library) OSAMA SABRI ASAAD ABUMANSOOR; Prof. Azzedine Boukerche1 0Item Restricted A Design of the Next Generation Mobile Healthcare Application for Electronic Medical and Pharmaceutical ERP Systems(Saudi Digital Library) NOUF HATEM S ALARNOUS; Dr. Hai Wang0 0Item Restricted A FLASH radiotherapy modeling study using water radiolysis by irradiating fast protons delivered at ultra-high dose rates(Université de Sherbrooke, 2023) Alanazi, Ahmed Mohammed Abar; Jay-Gerin, Jean-PaulRadiation therapy is an important part of the care of cancer patients. Theoretically, cancer could be cured by high doses of ionizing radiation. However, its practical application at high doses causes undesirable side effects in normal tissues. For this reason, most therapeutic improvements have focused on reducing side effects on healthy tissues. In 2014, a novel irradiation technique called "FLASH-RT" was proposed to more effectively kill cancer cells while protecting healthy tissue. Since little is known about the physicochemical mechanism underlying the effects of FLASH, e.g., the early events that occur after energy deposition, the aim of this project was to find out how the early physical and physicochemical stages along the radiation tracks are affected by high dose rates. To verify our approach, we first used our Monte Carlo code to study the effect of low dose rates of protons on radiolysis of water in the 150 keV-500 MeV energy range. The good agreement between the experimental data and our simulation results (our yield calculations for the primary radiolytically generated species) at low dose rates shows that we can use our code to study the effects of high dose rates on proton irradiation-induced radiolysis of water. As a second step, we were able to determine the critical point in time when the interaction between tracks starts in the track stage of radiolysis. The "onset" of dose-rate effects is shown to be inversely proportional to the dose rate, as demonstrated by our simulation results using our cylinder model. Based on a comparison with experiments/models using pulsed electrons, it appears that the geometry of the irradiation volume significantly affects both the time period over which dose-rate effects develop and the radiolytic yields. Finally, we extended our previous work to study the effect of linear energy transfer on oxygen depletion with protons at high dose rates. We found that in contrast to what is observed with low LET irradiation, the transient O2 consumption that occurs with high LET irradiation is quite significant. Taken together, our modeling demonstrates its suitability to study the effects of ultra-high dose rates on the initial physicochemical stages of water radiolysis.21 0Item Restricted A Framework for Data Loss Prevention using Document Semantic Signature(Saudi Digital Library) HANAN WAHEED A ALHINDI; Prof.Issa Traore0 0Item Restricted A Framework for Integrating Wireless Sensors and Cloud Computing(Saudi Digital Library) MOHAMMAD SHARAF A JASSAS; Qusay H. Mahmoud0 0Item Restricted A Framework for Privacy-Preserving Data Sharing in Smart Grid(Saudi Digital Library) KHALID NAWAF R ALHARBI; Xiaodong Lin2 0Item Restricted A Framework for Proactive Fault Tolerance in Cloud-IoT Applications(Saudi Digital Library) MOHAMMAD SHARAF A JASSAS; Dr. Qusay H. MahmoudIntegrating Internet of Things (IoT) devices with the cloud has several benefits, including expanding local IoT resources and improving cloud-IoT application performance. Cloud computing can benefit from IoT devices and applications by extending its scope to include real-world surroundings. On the other hand, IoT can use the cloud’s unlimited computing and storage power. Modern cloud-based applications, including smart cities, home automation, and eHealth, require a highly scalable and available framework that enables computing, storage, and data analysis. Cloud computing cannot respond to the growing number of IoT devices due to its remote location, and cloud providers are struggling to meet the quality of service (QoS), such as low latency. Cloud applications have a high probability of failure as they operate in a large-scale environment, including physical and virtual machines. The Coronavirus pandemic (COVID-19) has tested cloud providers in many ways, none of which could have been predicted. Although the public cloud has proven remarkably resilient in overcoming an unprecedented stress test, there are remarkable exceptions to cloud failure problems that occurred in the first half of 2020. In this thesis, the main objective is to design and implement a cloud-IoT framework that has been developed utilizing proactive fault tolerance techniques to provide high reliability and availability for IoT applications. The framework aims to decrease the number of task failures and minimize the time and cost of using the cloud. This thesis also analyzes and characterizes the behaviour of failed and finished tasks using publicly accessible traces. A design of highly reliable and available IoT applications has been proposed based on the development of Edge-Cloud architecture to support modern IoT applications. The evaluation results show a significant correlation between unsuccessful tasks and the resources requested. The results indicate that the proposed framework performance has improved, as well as the throughput efficiency increased by 55% after integrating the local resources with the cloud. The machine and deep learning-based failure prediction model can reduce the number of failed tasks for cloud-IoT applications. Moreover, the failure prediction model can predict failed tasks with a high rate of precision, recall, and F1-score.0 0Item Restricted A Genetic Test of a Model for Two Activities of Fushi Tarazu Protein in Drosophila Melanogaster(Saudi Digital Library) ALAA ABDULRAHMAN A BRIEK; Dr. Anthony Percival-Smith2 0Item Restricted A Graphical Processing Unit Based on Real Time System(Saudi Digital Library) KHALED MOHAMMED ABDULRAHMAN ALQAHTANI; Prof. Joshua Leon2 0Item Restricted A Grounded Theory Investigation of Self-Identified Female Students’ Mental Health Perception, Mental Health Factors, and Help Seeking Behaviours(Western University, 2024) Alzaidi, Laila; Forchuk, Cheryl; Babenko-Mould, Yolanda; Booth, RichardThe purpose of this integrated-article dissertation was to explore self-identified female students’ understanding of mental health, mental health factors, and help-seeking behaviours. Young adults often face multiple stressors in their daily lives and must find ways to prevent, address, or overcome stressors that can lead to emotional and physical distress. University life can be more stressful because of greater responsibilities and independence during this age period. Increasingly, post secondary school students are recognized as an at-risk population for poor mental health. It is worth noting that female students experienced greater levels of stress compared to other genders. Poor mental health can contribute to poor academic performance and excessive alcohol consumption. Transition-aged youth (17-29 years) of all genders are particularly at risk of developing mental health problems, yet they are one of the least likely demographic groups to seek help. In a state of mental health, individuals are more prepared to take healthy risks, actively contribute to society, and gain life satisfaction. The undertaking for mental well-being is a common desire for oneself, students, and loved ones. However, limited research has been conducted about perceptions and attitudes of young adults, especially among female students, regarding mental health and help-seeking behaviours. A constructivist grounded theory study was conducted, and semi-structured interviews were undertaken between January and March 2023 with 22 self- identified female students who were enrolled in post-secondary programs at a university in Ontario, Canada. Participants shared their insights during in-depth individual interviews. The following eighteen themes emerged from students data during data analysis: psychological well-being, socioeconomic factors, social and societal influences on students’ well-being, holistic well-being perspectives, academic perspectives, career and financial perspectives, life and future perspectives, coping mechanisms, healthcare engagement challenges, psychological barriers, relational barriers, personal challenges, seeking professional and non-professional support, integrated support, self-reliance and self-help. The findings demonstrated that students’ advocacy for the promotion of mental health practices has a strong impact on their overall well-being.18 0