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BackgroundA novel coronavirus, SARS-CoV-2, was identified in December 2019, when the first cases were reported in Wuhan, China. The once-localized outbreak has since been declared a pandemic. As of April 24, 2020, there have been 2.7 million confirmed cases and nearly 200,000 deaths. Early warning systems using new technologies should be established to prevent or mitigate such events in the future. ObjectiveThis study aimed to explore the possibility of detecting the SARS-CoV-2 outbreak in 2019 using social media. MethodsWeChat Index is a data service that shows how frequently a specific keyword appears in posts, subscriptions, and search over the last 90 days on WeChat, the most popular Chinese social media app. We plotted daily WeChat Index results for keywords related to SARS-CoV-2 from November 17, 2019, to February 14, 2020. ResultsWeChat Index hits for “Feidian” (which means severe acute respiratory syndrome in Chinese) stayed at low levels until 16 days ahead of the local authority’s outbreak announcement on December 31, 2019, when the index increased significantly. The WeChat Index values persisted at relatively high levels from December 15 to 29, 2019, and rose rapidly on December 30, 2019, the day before the announcement. The WeChat Index hits also spiked for the keywords “SARS,” “coronavirus,” “novel coronavirus,” “shortness of breath,” “dyspnea,” and “diarrhea,” but these terms were not as meaningful for the early detection of the outbreak as the term “Feidian”. ConclusionsBy using retrospective infoveillance data from the WeChat Index, the SARS-CoV-2 outbreak in December 2019 could have been detected about two weeks before the outbreak announcement. WeChat may offer a new approach for the early detection of disease outbreaks.

The bleeding time and amount in the short-segment group were shorter than in the long-segment group, and the bleeding volume was less than in the long-segment group. The Japanese Orthopaedic Association low back pain score, Oswestry Dysfunction Index, and lumbar spine stiffness disability index score of the two groups were significantly improved preoperatively, postoperatively, and at 6 months, 1 year, and 2 years post-operation. The differences were statistically significant at different time points within the groups. Neurological function improved to varying degrees postoperatively. The Cobb angle was significantly higher in both groups (P < 0.05). Adjacent vertebral disease occurred in 10 of 64 patients with short-segment fixation, with a prevalence of 15.6%. Preoperative pelvic tilt angle, preoperative pelvic projection angle (PPA), preoperative degree of matching of PPA to LL (PI-LL), and preoperative coronal Cobb angle were higher in patients with adjacent vertebral disease. There were varying degrees of improvement in low back pain and spinal function after short-segment decompression and fusion internal fixation. However, the patients are generally elderly and at risk of persistent low back pain and accelerated degeneration of adjacent segments.

【Objective】Natural disasters such as earthquakes have the characteristics of persistence and wide range. During the occurrence of disasters, the link resources of the optical network will be continuously damaged, resulting in the constant change of the link risk. In the face of constantly changing link risks, improper service recovery planning may cause service failures. From a service perspective, repeated faults will interrupt data transmission many times, and the subsequent link status damage may be aggravated after a disaster occurs. From the perspective of network management and control, repeated recovery wastes route calculation resources and occupies the recovery resources of other services. At the same time, different services have different requirements for transmission reliability because of the importance of the data to be transmitted. When a fault occurs, the high-importance services should be recovered first. Therefore, in the scenario of a large-scale persistent disaster, it is a problem worth studying to comprehensively consider the sustained impact of the disaster on link risk and the difference in path reliability requirements of different services for service recovery. To solve this problem, this paper proposes a link risk-aware service recovery algorithm-Dynamic Link Risk Reroute Algorithm (DLRRA) under persistent disasters.【Methods】Firstly, according to the service importance and link risk, we establish the service importance evaluation model and link risk evaluation model. Then we propose the optimization target route reliability. The DLRRA, combined with the optimization objective, fully considers the change of link risk degree caused by the impact of disasters on the continuity of links. By preferentially allocating low-risk recovery resources to the fault services of high importance, the risk of secondary failure of the same high-importance services is avoided during the continuous occurrence of disasters.【Results】The simulation results show that the second failure probability of DLRRA recovery is reduced by 11% compared with the traditional algorithm, and the average importance of DLRRA recovery under the high load is increased by 10%.【Conclusion】Therefore, the algorithm effectively avoids the loss caused by multiple service interruptions caused, and ensures the continuous and stable operation of important services in the disaster environment.

Recent studies have identified a trend toward cognitive decline and even progression to dementia in patients with metabolic syndrome (MetS), and Alzheimer's disease (AD) is the most important subtype of dementia. In reviewing the correlation between cognitive impairment due to MetS and development of AD in previous studies, this paper highlights the growing body of data that supports MetS as a whole as well as its components of hypertension and hyperglycemia as risk factors for AD, whereas insulin resistance, neurologic chronic inflammation, and adipokine disorders play important roles in the pathogenesis. Since there are now no viable treatment alternatives available to stop or reverse the degenerative progression of AD, it is expected to provide scientific evidence for a comprehensive strategy for early prevention and treatment of AD by targeting relatively curable MetS for intervention.

A domestic cloud simulation software platform named CloudLPS(Cloud-Based Liquid Pipeline Simulator) with complete independent intellectual property rights is developed, aiming to eliminate the long-term reliance on foreign commercial simulation softwares for liquid pipeline simulation. The platform is built on a B/S cloud architecture and is designed with the goals of accuracy, speed, simple interfaces, and convenient interaction. In terms of models, in addition to conventional flow and heat transfer models, CloudLPS also introduces the advanced mathematical models such as the non-Newtonian fluid model and the cross-dimensional thermal model, which enables the software to have the capability of hydraulic and thermal simulations for condensable and high-viscosity crude oil pipelines. Furthermore, the software also introduces some efficient simulation methods,such as adaptive mesh, dynamic mesh, divide and conquer, and heterogeneous parallelization, to facilitate the rapid calculation of large and complex pipe network system. In terms of functionality, it primarily offers users a variety of business and composite business function support to crude oil and refined oil pipeline networks, such as steady-state and unsteady-state simulations of pipeline network system, logic control, water hammer analysis,batch tracking, shutdown and restart, energy consumption optimization, and more. Additionally, the software provides a user-friendly visual modeling and result data display and analysis environment. CloudLPS serves as a fundamental software tool that plays a supportive role in various aspects of pipeline network system, such as planning and designing, operation scheduling, risk decision-making, and other business scenarios. Its application holds significant importance in ensuring the safe and economic operation of liquid pipelines in China.