Dental malpractice in implant dentistry can have significant implications for patient safety and quality of care. This study aims to examine cases of dental malpractice specifically related to implant dentistry in Saudi Arabia. A comprehensive analysis of malpractice cases was conducted, including the identification of common errors, assessment of patient outcomes, and evaluation of legal aspects. The study provides insights into the factors contributing to dental malpractice in implant dentistry and offers recommendations for improving patient safety and preventing future incidents.

Cloud data centers play a crucial role in providing scalable and efficient computing resources to meet the growing demands of cloud services. Virtual machine (VM) allocation is a key task in cloud data centers to optimize resource utilization and minimize costs. This research focuses on economic-driven strategies for VM allocation, considering both resource requirements and economic factors. The objective is to develop allocation algorithms that prioritize cost efficiency while meeting performance requirements. This study investigates various economic-driven strategies, including cost-based allocation, profit-aware allocation, and auction-based allocation. The performance of these strategies is evaluated using real-world workload traces and compared against traditional resource-based allocation approaches. The results demonstrate that economic-driven strategies can achieve significant cost savings while maintaining satisfactory performance levels. The findings provide valuable insights for cloud data center operators and service providers to make informed decisions regarding VM allocation strategies.

Understanding the hemodynamics of blood flow in stenosed arteries is crucial for diagnosing and treating cardiovascular diseases. This study presents a mathematical model to investigate the pulsatile blood flow characteristics through a catheterized inclined stenosed artery under the influence of body acceleration and a magnetic field. The model incorporates the Navier-Stokes equations coupled with continuity and energy equations, considering the effects of stenosis, catheterization, body acceleration, and a magnetic field. Numerical simulations are performed to analyze the flow patterns, wall shear stress, pressure drop, and temperature distribution within the artery. The findings provide insights into the complex interactions between blood flow, stenosis, catheterization, body acceleration, and the magnetic field, contributing to the understanding of arterial hemodynamics in clinical and research settings.

Smoking is a major risk factor for lung cancer, and cessation of smoking is crucial for improving patient outcomes. This study aimed to investigate the influence of ex-smokers serving as educators on smoking behavior and vital lung capacity in suspected lung cancer patients. A group of suspected lung cancer patients who were current smokers were enrolled in the study. They received educational sessions delivered by ex-smokers who successfully quit smoking. The sessions focused on the health risks of smoking, benefits of smoking cessation, and strategies for quitting. Pre- and post-intervention assessments were conducted to evaluate changes in smoking behavior and vital lung capacity. The results showed a significant reduction in smoking rates and an improvement in vital lung capacity after the educational intervention. Keywords: ex-smokers, smoking behavior, lung cancer, smoking cessation, vital lung capacity.