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Background: Antimicrobial Peptide PL-5 (Peceleganan) Spray is a novel topical antimicrobial agent targeted on the treatment of skin wound infections. Methods: We conducted a multicenter, open-label, randomized, controlled phase IIb clinical trial to evaluate the efficacy and safety of PL-5 Spray, as compared with silver sulfadiazine, in patients with skin wound infections. The primary efficacy outcome was the clinical efficacy rate on the first day after ending the treatment (D8). The secondary efficacy outcome was the clinical efficacy rate on the fifth day post-treatment (D5), the bacteria clearance rate and the overall efficacy rate at the mentioned two timepoints. The safety outcomes included adverse reactions and pharmacokinetic analysis post-treatment. Findings: Between Jul 29, 2020, and May 10, 2021, a total of 220 patients from 27 hospitals in China were randomly assigned to 4 groups. On D8, the efficacy rate was 91·6%, 83·6%, 85·0% for the 1 ‰ PL-5, 2 ‰ PL-5, 4 ‰ PL-5 groups respectively, as compared with 60% for the control group. The efficacy rate between each PL-5 group and the control group was significantly different (P

For the model parameters of RSSI signal intensity location algorithm in wireless sensor networks are susceptible to environmental impact, the positioning accuracy cannot meet the needs of high-precision indoor positioning in specific scenarios. This paper presents a Zigbee indoor location algorithm based on improved neural network optimization algorithm. Quantum particle swarm optimization (QPSO) is used to optimize the smooth parameters of the generalized neural network. The root mean square error between the predicted coordinates and the actual coordinates of the location node is selected to construct the fitness function. With the help of MATLAB software, the simulation comparison between the QPSO-GRNN localization algorithm and the non-optimized GRNN localization algorithm is established. The experimental results show that the average error of the non-optimized GRNN localization algorithm is 1. 0143m, and the average error of the QPSO-GRNN localization algorithm is 0. 5683m. The improved positioning algorithm has high accuracy, strong robustness and anti-jamming ability. Zigbee indoor positioning technology based on improved neural network optimization algorithm has high positioning accuracy and good stability, and has certain application value and development prospects.

With the development of society, the automobile industry is increasing day by day, and the demand for automobile tires is increasing. In the production process of rubber tire tread winding, the width control before the rubber strip is particularly important, but the transmission speed of each AC motor group is difficult to be uniformly matched so that the production line needs to process stronger speed setting ability. This paper introduces the process flow and control requirements of tread winding production, takes PLC and frequency converter as the core, and combines the width measurement sensor to propose a fuzzy PID control system that based on traditional PID adjustment, and carries out simulation and verification in Matlab software. The result shows that fuzzy PID control speed regulation is superior to traditional PID control. It has certain reference value for the quality of tread wrapping and the stability of strip width in the wrapping line.

In order to solve the shortcomings of traditional industrial control network intrusion detection schemes, such as insensitivity to detection samples and inaccurate judgment of internal anomalies. An industrial control network intrusion detection scheme based on FCM algorithm and supervised Kohonen is proposed. FCM algorithm, FCM-GRNN network algorithm, FCM-BP network algorithm, FCM-Kohonen network algorithm and FCM-S_ Kohonen network algorithm are built on MATLAB software platform to test DARPA data samples. The accuracy of clustering results of different types of intrusion is counted according to five algorithms. The scheme can detect NORMAL, U2R, R2L, DoS and PRB network attacks more accurately, and the overall average classification accuracy rate is more than 95%.

With the development of society, people's requirements on living standards are constantly improving. As a convenient means of transportation, cars begin to enter people's life, which inevitably drives the growth of automobile demand and makes China's automobile industry show a rapid development trend. Rubber as an essential raw material in the automotive industry, its development prospects should not be underestimated. This article through to in the production of rubber used for rubber machine control, PLC and inverter as the core, combined with the Angle sensor, based on the fuzzy PID control algorithm for extruder for the easy to the problems that arise when a feed control system design, the control system for the glue supply machine, can make the continuous, rapid and stable feeding of the extruder. Make the quality of glue stable, improve the safety of production operation, improve the efficiency of production.

The “two sessions” of the company in 2019, the company’s chairman, Comrade Kou Wei, put forward the strategic goal of “three-type two networks, world-class”, making it clear that the 2021 will initially become a world-class Energy Internet company with Global Competitiveness It has also laid out key tasks in the distribution sector, including the strategy for vigorously fighting poverty through services and rural revitalization, making continuous efforts to improve the business environment for electricity generation, upgrading the construction of power distribution networks, and establishing standards and demonstration zones for power distribution networks. The company proposed the “1135” New Era Power Distribution Management Strategy: customer-centered, to improve power supply reliability as the main line, to strengthen standardized construction, lean operation and maintenance, intelligent management and control, we will endeavor to build a first-class modern distribution network with good structure, equipment, technology, management and service. By improving the distribution network’s ability of intelligent perception, data fusion and intelligent decision-making, a “clean, low-carbon, safe and efficient” intelligent distribution network energy system is constructed. The comprehensive error of electric energy measurement in distribution network is composed of voltage transformer error, current transformer error, watt-hour meter error and voltage drop of secondary circuit of voltage transformer. The measurement error caused by the voltage drop of the secondary circuit of the voltage transformer accounts for a large proportion of the total errors of electric energy measurement. Because the voltage drop is too large, causes the little electricity quantity as well as the generation and supply quantity imbalance, the line loss gives the negative number the example all to appear.

Since the beginning of the twenty-one th century, with the rapid development of China’s economy and the continuous progress of China’s power industry, it has contributed an indelible force to the development of China’s socialist undertakings The construction of power grid is very important to the development of society. The normal operation of the power grid can not be separated from regular inspection of power grid equipment and lines, so as to keep abreast of and understand the operation of power transmission lines and changes in the surrounding environment and Line Protection Areas Is the power supply enterprise a heavy daily work. Manual inspection is a traditional inspection method, but also the main way of transmission line inspection. Due to the complex terrain of the transmission line corridor, there are almost no patrol roads in some sections along the route in some harsh conditions such as river-crossing or high mountains and steep mountains. This patrol method has great labor intensity and difficult working conditions Transmission lines can not get timely feedback, and can not observe the real-time intuitive operation of lines and equipment. In this case, in response to the national “Internet +” strategic thinking, we initiated the “Internet +”, “UAV +” and “VR +” all-ecological power grid patrol mode Realize the power network equipment long-distance inspection, all-round inspection, real-time simulation inspection, inspection in bad environment, so that the cause of power inspection can take off.

The vector control system of permanent magnet synchronous motor based on sliding mode observer (SMO) is studied in this paper. On the basis of analyzing the traditional sliding mode observer, an improved sliding mode observer is proposed. Firstly, by using the hyperbolic tangent function instead of the traditional symbol function, the chattering of the system is suppressed. Secondly, a low pass filter which has the variable cutoff frequency along with the rotor speed is designed to reduce the phase delay. Then, by using Kalman filter, it could make back EMF information more smoothly. Finally, in order to obtain accurate position and velocity information, the method of phase-locked loop (PLL) is proposed to estimate the position and speed of the rotor. The simulation results show that the new algorithm can not only improve the accuracy of the position and speed estimation of the rotor but reduce the chattering of the system.