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Background: Hypertensive crisis is an extreme phenotype of increased blood pressure that can lead to organs failure and thrombotic complications. Recently, we were able to show an angiotensin II driven FXI-thrombin amplification loop leading to vascular injury in experimental hypertension. Objective:...

In order to solve the problems of inconvenience and high cost of coal gangue calorific value measurement, the machine learning algorithm is adopted and applied to the prediction of practical engineering. Firstly, the industrial analysis components and calorific value of coal gangue in Xinjiang are obtained...

The effects of reaction material ratio and feed order on the composition of the product are investigated by the reaction of zinc sulfate, bismuth nitrate and sodium hydroxide as raw materials in the ultrasonic system. The product is identified as by X-ray fluorescence and chemical titration, and the...

Aiming at dataset with different feature attributes and multi nominal decision categories, a new design algorithm using PSO for instance-based learning classifier is put forward which can facilitate to make a better classification decision. On the basis of classes and interfaces in Weka platform, this...

In order to allocate the buffer capacity effectively and improve the availability of the production line, a buffer allocation method based on particle swarm optimization (PSO) and simulated annealing algorithm (SA) is proposed for the mixed asynchronous serial production line. It is considered that the...

Background: Interleukin-6 (IL-6) was considered to be with the severity and mortality in COVID-19 patients, which implies a potential therapeutic target for treatment. We aimed to evaluate the safety and initial efficacy of Tocilizumab treatment for COVID-19 patients. Methods: In the retrospective study,...

In high-speed printed circuit board (PCB), decoupling capacitors are usually used to reduce noise of power ports. The number and location of capacitors is related to design cost and quality. This paper introduces a method to determine the suitable value and placement of decoupling capacitors for multiple...

Objective: To build a Support Vector Machine model with a good Particle Swarm Optimization parameter selection algorithm for object classification in images. Can determine the best features used for classification in the Support Vector Machine algorithm using Particle Swarm Optimization feature optimization....

Fe75Zr25 /Cu64Zr36 multilayers metallic glass thin films have been prepared by magnetron sputtering herein. The magnetic studies shown that the saturation magnetization of this alloys increase after annealing under glass transition temperature (Tg ). The change of the magnetization might be attribute...

As one of the most famous clustering algorithms, K-means is simple and effective but easily falls into local optimal solution. Aimed at this flaw, many methods including PSO had been applied to optimize K-means. As a typical swarm intelligence optimization algorithm, PSO(particle swarm optimization)...

SVM parameter selection determines the performance of its learning and generalization ability. As many in the choice of the number of selectable parameters, blindly searching optimal parameters in a number of parameters are required tremendous time cost , and it is difficult to obtain the optimal parameters....

Sentiment analysis of the employee reviews is very important to understand the satisfaction in the company, predict the engagement of the employees, identify the risk of employee retention and improve general productivity of the company. Proper analysis of these reviews may provide valuable insight into...

Considering the impact of distributed power on the net load, the short-term load forecasting model established by SR-LS-SVR from the global perspective of the distribution network. The model parameters are quickly optimized by fine-grained parallel PSO. The accuracy, robustness and efficiency of the...

With 2 mol% Al3+ ions and 8 mol% Eu3+ ions co-doping,nano-size[K0.8Y0.63Eu3+0.08Al0.02][Mo0.2W0.8O4] phosphor was synthesized by the sol-gel method. Through XRD, DTA-TG, SEM and photoluminescent analysis, its morphology, crystal structure and luminescent property were discussed and it is found that one...

The precise prediction of the outlet ph level of water treatment plants (wtps) is a prerequisite for chemical optimization and process efficiency. It also allows treatment process modifications, protects equipment, and ensures water quality.the main objective of this research is to enhance the accuracy...

Purpose: Delirium is a frequent occurrence amongst Intensive Care Unit (ICU) patients, but studies on its causes are sparse and its risk factors vary from disease to disease. Here, in this study, an attempt was made to investigate the factors associated with the prognosis of delirium in the ICU. Methods:...

The Programmed Cell Death 1 (PD-1)/Programmed Death Ligand 1 (PD-L1) Immune Checkpoint Inhibitors (ICIs), have become a hot spot in the field of cancer research and treatment, and bring new hope to patients with advanced tumors. But, in addition to enhancing the anti-tumor effect of T cells, PD-1/PD-L1...

This paper adopts the melt blending method for organic silicon resin/nano Al2O3 and PF. The organic silicon resin in the blending resin cures and forms interpenetrating network structures to improve the heat resistance of PF plastics. TG, DSC and FESEM analysis characterize the changes in heat resistance...

China’s assertiveness in the East and South China Sea (ESCS), complemented with paradoxical behavior on promoting international maritime cooperation, has left many to conclude that Beijing uses a dual strategy. To expand China’s foreign policy’s interpretation, we present an alternative approach with...

Abstract. Objective: To observe and analyze the application value in clinical diagnosis of the diabetes patients with blood lipid inspection. Methods: From June 2013 to June 2014 we select 50 patients with diabetes and 50 healthy people in physical examination as the research object, they can be divided...

The adsorption and binding mechanisms of chloride ion in sea sand mortars were investigated through measuring the water-soluble chloride ion content in this paper. In addition,the microstructure of Friedel's salt were characterized by three approaches : X-ray diffraction (XRD), thermal analysis method...

Photocatalysis is a green technology that plays a vital role in achieving sustainable development goals and ensuring a clean environment. Metal oxide materials, in particular, have gained tremendous attention for their versatility in fields such as catalysis, semiconductors, ceramics, sensors, and energy...

Sepsis is a life-threatening organ dysfunction caused by a deregulated host response to infection, and is the most common cause of death in the intensive care unit. Although the pathogenesis of sepsis has made substantial progress, the current clinical treatment of sepsis is basically symptomatic treatment,...

Feature selection (FS) is a crucial data pre-processing process in classification problems. It aims to reduce the dimensionality of the problem by eliminating irrelevant or redundant features while achieve similar or even higher classification accuracy than using all the features. As a variant of particle...

Support vector regression (SVR) is a popular machine learning method that develops these years and has been widely used in the prediction field. But the input feature vectors largely affect the accuracy of the forecast er-ror, so the feature vector choice has been the hot issues of attention and research...

For the model of optimization of DG accession capacity, improved Newton-Raphson algorithm is used to calculate the power flow. The particle swarm optimization algorithm based on immune is used to optimize the model, and the maximum capacity of DG is obtained. Finally, the IEEE 33-bus distribution system...

This paper divides a model of complicated system which includes numbers of fossil-fueled power plants into a two-tier structure model with coupled subsystems, using decomposition-coordination method of large scale systems. The method consists of Lagrangian relaxation, sub-gradient algorithm and particle...

Consumption for energy has a great influence on sustainable development of economy and society. The scientific and rational energy development strategy can effectively guarantee social and economic stability and orderly development and energy development strategy is inseparable from the right to accurately...

The traditional algorithm used for resource scheduling modeling in asymmetric network, is time-consuming, and has bigger error. The cloud computing resource scheduling method based on catfish PSO algorithm is proposed. By adopting the particle encoding method initialize the particle swarm, and through...

For large data environment, the traditional K-means clustering algorithm flaw in the software in real-time fault detection process, we propose a K-means clustering software intelligent real-time fault detection method is improved. The K-means clustering algorithm and particle swarm optimization combined...

The coal conveying system is the most important composition unit of continuous mining machine, the performance of coal conveying system plays a decisive role in production efficiency, this equipment is easy to cause the fault, in this paper, the faults often appeared in this equipment and the fault reasons...

In view of the shortcomings of the test data generation algorithm including particle swarm optimization algorithm and ant colony algorithm, a new algorithm is proposed, which is based on the combination of particle swarm algorithm and parameter adjustment. This algorithm can dynamically adjust its search...

Aiming at exploration and development capacity, it is usually hard to achieve effective utilization and balance by using just one algorithm, which will influence the solving accuracy and efficiency of the algorithm accordingly. This thesis applies particle swarm optimization (PSO) to discrete multi-objective...

Perovskite-type cube structure LaMnO3 nanofibers of approximately 50~100 nm in diameter were synthesized via Sol-Gel processing and electrospinning technology after calcined at 900 by using polyvinypyrrolidone (10 wt %PVP) as complexing agents. The nanofibers was characterized by means of scanning electron...

To solve the estimator’s inconsistency in calculating the proposal distribution and the particles degeneracy phenomenon of the Rao-Blackwellized particle filter (RBPF), an improved method of RBPF based on fusing Precision laser pre-observation information particle swarm optimization (PSO) is proposed...

Coordinated volt/var optimization is fundamental to power dispatch and stability of power system, a novel particle swarm algorithm based multi-agent(MAPSO) is presented. The algorithm combines particle swarm optimization algorithm(PSO) with multi-agent system(MAS). The PSO-MAS utilize an agent as a particle...

In order to improve the mechanical structure of the type of fault resolution precision high voltage circuit breaker spring mechanism, the paper analyzes the characteristics of the circuit breaker and the combination of mechanical vibration signal PSO algorithm (PSO) SVM parameter optimization method...

A network traffic detection model based on swarm intelligent optimization neural network algorithm is proposed in this paper. QAPSO algorithm is used to optimize the basis function center and base function width of RBF neural network,and the connection weights of the output layer and the hidden layer...

The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable classification accuracy. In this paper, we propose a combination of genetic...

A novel training paradigm for artificial neural networks had been developed and presented in this article. In the proposed approach, a revised version of particle swarm optimization (PSO) had been employed to find out the optimal connection weights of feed-forward artificial neural networks for given...