In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.

As an important medium transmission element, the pipeline has a very important application in the chemical industry, electric power industry, and petroleum industry. However, the pipeline vibration problem has seriously restricted the large-scale development of equipment, reduced the reliability of equipment operation, and even caused serious accidents. Therefore, it is very important to analyze the dynamic characteristics of these vibrations and to reduce the impact of vibrations within pipelines. We focus on the problem of abnormal vibrations within the JYG compressor station pipeline and use a 3D calculation model of the launcher pipeline of west−east gas pipeline III to perform simulation analysis using Fluent to find the cause of the abnormal vibrations. Our results show that the fluid pressure fluctuation in the pipeline is the main factor for the abnormal vibration of the launcher pipeline in the JYG compressor station. The main causes of the vibrations are excessive fluid flow and high flow velocity. Also, by comparing and analyzing the natural frequency of the pipeline system and the pressure fluctuation frequency of the vortex core in the pipeline, we found that the pressure fluctuation frequency is close to the low-order natural frequency of the pipeline system, which is prone to resonance. In this paper, three vibration reduction schemes of the JYG compressor station are suggested and verified. The efficiency of vibration reduction is 68−94%, which can be effectively applied to the outgoing pipeline of the west−east gas pipeline III to solve the abnormal vibration problem of the pipeline.

Detecting the existence of SARS-CoV-2 in the indoor atmosphere is a practical solution to track the prevalence and prevent the spread of the virus. In this work, a thermophoretic approach is presented to collect the novel coronavirus-laden aerosols from the air and accumulate to high concentrations adequate for the sensitivity of viral RNA detection. Among the factors, the density and particle size have negligible effects on the particle trajectory, while the vertical coordinates of particles increase with the rise of heating source temperature. When the heating temperature is higher than 355 K, all of the particles exit the channel from one outlet, thus the collecting and accumulating of virus-laden aerosols can be realized. This study provides a potential approach to accelerate the detection of SARS-CoV-2 and avoid false negative in the following RNA test.

BACKGROUND At the onset of the COVID-19 pandemic in March 2020, there was an initial considerable decline in the number of major cardiac procedures (interventional cardiology, cardiac surgery, TAVI, and electrophysiology) in Ontario. Cardiac programs were concerned about managing the anticipated exponential growth of the wait list for these services throughout the pandemic and into post-pandemic recovery planning. The purpose of this project is to highlight the notable trends in wait list and procedure volumes for the major cardiac procedures from the initial ramp down of services in March 2020 to April 2021 in Ontario. METHODS AND RESULTS To support system level planning and coordination for major cardiac procedures in Ontario, CorHealth collects prospective data from the 20 cardiac centres across the 5 regions in Ontario for each of the major cardiac procedures, otherwise known as the CorHealth Cardiac Registry. This Registry was used to identify changes in cardiac activity and the number of people waiting for each major cardiac procedures per facility and across regions. The pre-pandemic time period (January 2019-February 2020) was used as baseline data for calculation of changes during the pandemic (March 15, 2020-April 2021) for these analyses. While all cardiac procedures were dramatically reduced in the initial months of the pandemic, by April 2021, annual activity compared to pre-pandemic baseline volumes ranged from a 23% reduction (standard ablation) to a 6% increase in activity (TAVI) (Table 1). There was regional variation whereby the change in CABG volumes ranged from a 5% increase (North) to a 25% reduction in the Central and Toronto Regions. Referrals for diagnostic cardiac catheterization, cardiac surgery and electrophysiology procedures followed a similar pattern as procedure volumes. As such, the wait list for these cardiac procedures did not increase over the first 12 months of the pandemic (Figure 1). CONCLUSION While there was a dramatic reduction in the number of cardiac procedures and surgeries during peak periods of the COVID-19 pandemic in Ontario, this was accompanied by a dramatic, and unanticipated reduction in referrals for these services. There was also evidence of regional variation within Ontario for reduction in procedure volumes compared to baseline. As the healthcare system recovers post-pandemic, a systems approach is needed to fully understand the multiple factors contributing to the reduction in referrals and regional variation during the pandemic. This information is critical for informing recovery plans while identifying opportunities to reform and improve access to care moving forward.