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Background Physically active individuals are susceptible to sports injuries, one of which is anterior cruciate ligament (ACL) injury. ACL injury can be managed conservatively or by surgical reconstruction. Returning to sport (RTS) after ACL injury is one of the main goals of ACL reconstruction (ACLR). However, rates of return vary and can be affected by several factors. The objectives of this study were to estimate the rate of return and to identify the factors that might affect RTS after ACLR. Methods This was a cross-sectional study, including individuals who had an ACLR. Participants were sent an online survey included questions about their injury, sport participation, International Knee Documentation Committee form (IKDC), and the Tampa Scale for Kinesiophobia (TSK-11). Participants who had their surgery in the period between January 2011 to December 2018 and participated in sports regularly were included. Descriptive statistics were performed. Chisquare and student t-tests were performed to explore the differences between participants who returned and the ones that did not.

Objectives: Calls to carry efforts to increase awareness about venous thromboembolism (VTE) as a preventable major healthcare problem with serious consequences has been upraised. This study was planned to get an overview of the awareness, knowledge, and attitude toward VTE among Aseer population, Saudi Arabia and the need for an education plan. Materials and Methods: Questionnaire composed of 35 questions based cross-sectional study was conducted online via Google documents to public in Aseer that included both genders aged more than 18 years who agreed to be involved in the study, to assess knowledge and attitude toward VTE. The collected data were presented as numbers, percentages, and were analyzed using Statistical Package for Social Sciences version 24. Results: The results of the data showed that awareness knowledge and attitude toward VTE were lacking and unsatisfactory. Conclusion: Diligence to spread knowledge and awareness of VTE among public in Aseer is required. Further surveys involving other populations are warranted.

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The transportation industry is crucial to the realization of a smart city. However, the current growth in vehicle numbers is not being matched by an increase in road capacity. Congestion may boost the number of accidents, harm economic growth, and result in higher gas emissions. Currently, traffic congestion is seen as a severe threat to urban life. Suffering as a result of increased car traffic, insufficient infrastructure, and inefficient traffic management has exceeded the tolerance limit. Since route decisions are typically made in a short amount of time, the visualization of the data must be presented in a highly conceivable way. Also, the data generated by the transportation system face difficulties in processing and sometimes lack effective usage in certain fields. Hence, to overcome the challenges in computer vision, a novel computer vision-based traffic management system is proposed by integrating a wireless sensor network (WSN) and visual analytics framework. This research aimed to analyze average message delivery, average latency, average access, average energy consumption, and network performance. Wireless sensors are used in the study to collect road metrics, quantify them, and then rank them for entry. For optimization of the traffic data, improved phase timing optimization (IPTO) was used. The whole experimentation was carried out in a virtual environment. It was observed from the experimental results that the proposed approach outperformed other existing approaches.