Browsing by Author "Alshamrani, Abdullah"

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Clinical Potential of Three Dimensional (3D) Printed Materials in Restorative Dentistry
(Sydney University, 2024-03-13) Alshamrani, Abdullah; Ellakwa, Ayman
Over the past two decades, rapid prototyping technology, specifically threedimensional (3D) printing, has gained significant popularity in the dental field. It has revolutionized dental restoration processes, leading to improved quality, patient comfort, and overall satisfaction. This thesis explores the integration and benefits of 3D printing technology in various dental applications. The initial chapters provide an overview of the importance of 3D printing technology in dentistry and highlight its advantages over traditional techniques. The focus is on the enhanced production processes, adaptability, and faster fabrication methods offered by 3D printing. Furthermore, the future prospects and limitations of this technology are discussed, with emphasis on the mechanical properties and biocompatibility of 3D-printed dental materials. A key area of investigation pertains to the mechanical properties of 3D-printed dental resin materials. Different printing layer thicknesses and post-printing methods are explored to determine their effects on flexural strength, microhardness, and degree of conversion. Findings reveal that a printing layer thickness of 100 μm yields the highest flexural strength compared to thinner layers. Moreover, post-printing treatments significantly impact the flexural strength and hardness of the 3D-printed resin material. To further enhance the mechanical and biocompatibility properties of dental resin, different nanoparticle additives are incorporated into the resin. Specifically, the addition of zirconia and glass silica nanoparticles is investigated. Results demonstrate that the inclusion of these microfillers significantly improves the flexural strength and biocompatibility of the dental resin material. This finding suggests the clinical application potential of reinforced 3D-printed resin in restorative dentistry. Continuing the exploration of microfillers reinforcement, another chapter focuses on the incorporation of zirconia glass (ZG) ) with an average particle size of approximately 0.4 μm and glass silica (GS) microfillers with an average particle size of approximately 1.5 μm in 3D-printed crown resin materials. Mechanical performance comparable to unmodified resin is achieved, but increased surface roughness needs further optimization to ensure aesthetic considerations are met. In addition to examining resin materials, a separate chapter explores a novel 3D printing technology called lithography-based ceramic manufacturing (LCM), specifically for printing ceramic materials. The mechanical properties of ceramic materials printed using LCM are evaluated, providing insights into their potential applications. Finally, the thesis concludes by summarizing the major findings and conclusions derived from the previous chapters. Future directions and challenges in the field of 3D-printed dental materials are also discussed, emphasizing the need for further research to optimize nanoparticle concentrations, evaluate long-term clinical outcomes, and enhance the overall effectiveness and suitability of these materials in restorative dentistry. In summary, this thesis contributes to the advancement of 3D-printed dental materials, offering valuable insights into their mechanical properties, biocompatibility, and potential applications. The integration of 3D printing technology in dentistry has transformed the field, paving the way for more effective and durable dental restorations.
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Exploring AI Technologies In project Management: The Rise of Automated Leadership
(Saudi Digital Library, 2023-09-04) Alshamrani, Abdullah; Pagano, Rosane
The paper examines the changing environment of project management in the age of fast technological breakthroughs, focusing on the revolutionary impact of AI technology and robotic leadership. The study is driven by the urgent need to comprehend the integration of AI in project management practises and its consequences for decision-making, resource allocation, risk assessment, and overall project success. The research builds on a thorough analysis of the existing literature on automated leadership, artificial intelligence, and project management. In light of this, the study's five primary goals are as follows: assess the current level of AI adoption in project management; examine the effect of AI- enabled decision-making on project outcomes; look into the efficacy of automated resource allocation; investigate the role of AI in project risk assessment; and make suggestions for the incorporation of automated leadership. The study takes a quantitative approach, collecting data using well-designed questionnaires and analysing it statistically with the help of SPSS. To investigate the connections between AI and automated leadership, we performed evaluations of reliability, correlation, and regression. The results prove that AI technologies are crucial for project management. Affirming H1, we find that "Use of Artificial intelligence" greatly affects "Project success in project management." The research shows that AI technologies have progressed from simple aids to essential resources for contemporary project management. In contrast, the nuanced view presented by Hypothesis 2, which suggests the impact of "Automated leadership," becomes clear. There is a delicate balance between human-guided leadership and computerised directions, and although automated leadership plays a part, its influence is very limited. The third hypothesis, that "Use of Artificial intelligence" is strongly correlated with "Automated leadership," is supported by statistically significant evidence from the correlation study. It exemplifies how AI technology and automated leadership in project management are complementary rather than competitive. The ramifications go far and wide, touching on the work of professionals, politicians, educators, and researchers to promote ethical AI adoption and lifelong education in the ever- changing field of project management.
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