The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), first broke out in Wuhan, China, in 2019. SARS-CoV-2 develops many types of mutations (such as B.1.1.7), making diagnosis and treatment challenging. Although we now have a preliminary understanding of COVID-19, including pathological changes, clinical manifestations, and treatment measures, we also face new difficulties. The biggest problem is that most COVID-19 patients might face sequelae (e.g., fatigue, sleep disturbance, pulmonary fibrosis) during the recovery phase. We aimed to test six Chinese patent medicines to treat three major abnormal symptoms in COVID-19 patients during the recovery phase, including cardiopulmonary function, sleep disturbance, and digestive function. We launched the “three syndromes and six Chinese patent medicines” randomized, double-blind, placebo-controlled, multicenter clinical trial on April 10, 2020. The results showed that Jinshuibao tablets and Shengmaiyin oral liquid significantly improved the cardiopulmonary function of recovering COVID-19 patients. Shumian capsules, but not Xiaoyao capsules, significantly improved patients’ sleep disorders. This might be because the indication of Xiaoyao capsules is liver qi stagnation rather than psychological or emotional problems. Xiangsha Liujun pills and Ludangshen oral liquid significantly improved digestive function. Our research provides a guideline for treating COVID-19 sequelae in patients during the recovery period based on high-quality evidence.
Current paper on information system management indicates that the most of information systems either are considered a failure or challenged. These projects are characterized by overspend, exceeding time, and failing to meet customer hope. The fact that most projects fail emphasizes the need for research regarding the feasibility that leads to information system with good performance or failure. This paper presents a method for information system with good performance. Based on deep analysis of current paper on software with good performance feasibility, an method is formalizing. The new framework shows feasibility that have to be carefully considered in order to get information system with good performance. The feasibility included in the framework is divided into four categories: management feasibility, technical feasibility, staff feasibility, and social feasibility. The framework is new because it includes many factors that are not founding together in any of the previous similar architectures.
Environmental variables, phytoplankton biomass and species composition in Nanhu Lake in Yingdong Village, Chongming Island were monitored from August 2010 to September 2011. The relationship between environmental variables and population variation of phytoplankton was discussed. The results showed that water body morphology was the key factor leading to the variation of phytoplankton community. In river-type waters the level of phytoplankton biomass was generally higher than that in lake-type waters, especially in summer. During the period of seasonal change, in river-type waters Cyanophyta dominated longer with the succession from Cyanophyta to Chlorophyta and Bacillariophyta occurred later than that in lake-type waters. Redundancy analysis (RDA) indicated that the morphology of enclosed waters had influence on phytoplankton biomass and species composition. One of the mechanisms may be that water body morphology could have impact on the growth and species dynamics of phytoplankton indirectly by affecting nutrient concentrations.
Using the finite element software “ANSYS” to establish the three-dimensional coupled model in magnetic field and temperature field during the process of transverse flux induction heating of ring-shaped heater and Square-shaped sheet steel, this paper studies the distribution laws of the magnetic and temperature fields in the induction heating process. Through studies, the calculations show: 1) The distribution of the magnetic fields and eddy cavities in the sheet workpiece is in the shape of ring; has close ties with the shapes of the coils; 2) The intensities of the coils’ magnetic field and eddy cavities reach the strongest in the projection of sheet metal, and the temperature in the projection part also rises the fastest. For the purpose of verification, the induction heating experimental plat is established to measure the changes of temperatures of numerous points in the plat and to compare the changes with the calculations. Via the comparison between the simulation results and the experimental measurements, the results of numerical simulation are confirmed reliable, and can be used as the theory and the experimental basis for the design of the induction heating system.
Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.
In this paper, an adaptive fuzzy PID controller based on genetic algorithm is designed. Brushless DC motor uses double closed loop control system. The adaptive fuzzy PID controller based on genetic algorithm is applied to outer ring speed ring, and PI controller is applied to inner ring. The simulation results show that, the designed brushless DC motor control system based on genetic algorithm optimization has a short rise time and no overshoot, small steady-state error and other advantages. And the system has strong robustness and adaptability.
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