This paper introduces a novel energy-efficient lightweight, void hole avoidance, localization, and trust-based scheme, termed as Energy-Efficient and Trust-based Autonomous Underwater Vehicle (EETAUV) protocol designed for 6G-enabled underwater acoustic sensor networks (UASNs). The proposed scheme addresses key challenges in UASNs, such as energy consumption, network stability, and data security. It integrates a trust management framework that enhances communication security through node identification and verification mechanisms utilizing normal and phantom nodes.
View Article and Find Full Text PDFDrought is a natural disaster that can affect a larger area over time. Damage caused by the drought can only be reduced through its accurate prediction. In this context, we proposed a hybrid stacked model for rainfall prediction, which is crucial for effective drought forecasting and management.
View Article and Find Full Text PDFThis study aims to assess the effectiveness of ChatGPT in remote learning among medical students. This cross-sectional survey study recruited 386 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire designed to assess perceptions of ChatGPT's effectiveness in remote learning.
View Article and Find Full Text PDFStudy Purpose: This study aims to assess the effectiveness of ChatGPT in critical thinking skills among medical students.
Methods: This cross-sectional survey study recruited 392 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire assessing perceptions of ChatGPT's impact on critical thinking skills.
Public relations practices are widely accompanied by communication and persuasion. Especially today, when new media platforms provide direct accessibility, communication through PR has become more improved. This research focused on media organizations in the UAE, with a special consideration given to their audience content management.
View Article and Find Full Text PDF(1) Introduction: The objective of this study was to evaluate the patient experience with the Mawid application during the COVID-19 pandemic in Al Hassa, Saudi Arabia. (2) Methodology: A quantitative cross-sectional survey was designed to evaluate the patient experience with the Mawid app during the COVID-19 pandemic in Al Hassa, Saudi Arabia. A total of 146 respondents completed the questionnaire.
View Article and Find Full Text PDFBackground: This research aims to assess the users' perceptions of usability and quality of mobile health applications used for promoting physical activity in Saudi Arabia.
Methods: This was a quantitative cross-sectional study. A survey was developed based on the Technology Acceptance Model (TAM) and the Mobile Application Rating Scale (MARS) and distributed among the Saudi population through social media to assess the users' perceptions of using mobile applications to enhance physical activity.
Background: WhatsApp was the most popular messenger app used in Saudi Arabia with 71% of the total population using it in 2020. WhatsApp is increasingly being used as a tool for mobile health (m-health) interventions; however, concerning blood donation, there is a lack of research studies on the topic.
Objective: This study aims to measure the general awareness levels of the blood donation process and assess blood donation history, the motivators and inhibitors to donating blood, and to assess the impact of WhatsApp on the blood donation process in Saudi Arabia.