Scientific Research and Reviews


Determining Site Location to Find Shortest Path Based on Multi-objective Decision Model

Research Article of Scientific Research and Reviews Determining Site Location to Find Shortest Path Based on Multi-objective Decision Model Rui Yan1*, Zihan Hu1, Rao Fu1, Chengming Yang1, Cheng Li1 1College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, 443002, China. This paper studies the problem of site selection and tour route, establishes multi-objective decision model and optimizes the line model, uses the Floyd algorithm and uses MATLAB and lingo to program to provide the optimal scheme of site selection and tour route respectively. A single-target optimization model was established, a minimum value function was established for the total distance after weighting, the shortest path length of any two communities was calculated using the Floyd algorithm, and the site of the water and electricity payment was obtained to facilitate residents to pay the utility bill. By establishing the constraint optimization line model, the shortest path of any two residential areas is obtained by The Floyd algorithm, establish the shortest path spanning tree whose root is residential area no.6, and the regions are divided, then optimal tour is obtained. Keywords: Floyd algorithm; Shortest path; Decision model; Minimum spanning tree ...

In vitro EVALUATION OF ATOVAQUONE ON THE REPLICATION OF TOXOPLASMA GONDII TACHYZOITES STRAINS RH AND ME49

Research Article of Scientific Research and Reviews In vitro EVALUATION OF ATOVAQUONE ON THE REPLICATION OF TOXOPLASMA GONDII TACHYZOITES STRAINS RH AND ME49 Geovana Batista de Campos*; Renato Felipe Ferreira Franco; Jéssica Yonara Souza; Natália Santana Daher Mendonça; Marina Clare Vinaud; Ana Maria de Castro Instituto de Patologia Tropical e Saúde Pública/UFG, Goiânia-GO, Brasil. Introduction: Since 1990 the standard treatment for toxoplasmosis has remained the same. The therapy is based on a synergistic combination of pyrimethamine and sulfadiazine, drugs that promote synthesis blockade and decrease of tachyzoite folic acid levels. This therapy acts only on the tachyzoite forms of the parasite, not affecting bradyzoites present in tissue cysts that persist in the individual during the chronic phase and not preventing possible disease reagudization even after treatment. Given the high seroprevalence of toxoplasmosis in the general population and the serious complications that this infection may bring to the patient, a safe and effective treatment against all morphological forms is necessary. The repositioning of drugs main objective is to use substances already marketed to treat other diseases. Thus, Atovaquone, which is an antimalarial of the naphthoquinone group recently accepted by the FDA and isn't yet part of the routine treatment protocols employed for toxoplasmosis, should be studied, as recent studies show its activity against tachyzoites and also against bradyzoites, representing a huge advantage over the drugs currently used. It also does not interfere with folic acid metabolism, proving to be a promising drug in the treatment of pregnant women. Objective: The present study aims to evaluate the effects of atovaquone on T. gondii strains RH and ME49 (type I and type II, respectively) in vitro. Methodology: In quintuplicate, murine RAW 264.7 macrophages were used in six-well culture plates with 3mL of supplemented RPMI medium, where 200.000 cells were seeded and incubated at ...

Predicting the Time Required to Pass Congested Road Based on Neural Network Algorithm

Research Article of Scientific Research and Reviews Predicting the Time Required to Pass Congested Road Based on Neural Network Algorithm Zhong Zheng1*, Yu Cao2, Hairui Zhang2, Tianlong Wang3, Yunxiao Wu1 1College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002,China. 2College of Science, China Three Gorges University, Yichang, 443002, China. 3College of Civil Engineering & Architecture, China Three Gorges University, Yichang, 443002, China. In order to predict the duration of traffic congestion, this paper established a traffic congestion evaluation model based on cumulative ratio Logistic regression and a traffic congestion time prediction model based on BP neural network. Combining Pearson test, numerical combination, standard deviation method and other methods to solve the problem. Based on the measured data of Jinshui Road in Zhengzhou, the average error is 0.019m/ s and the prediction error rate is 0.15%, both within a reasonable range. The model can improve the accuracy of congestion time prediction and provide some help to real life. Keywords: Cumulative ratio Logistic regression; BP neural network; Pearson test; Standard deviation method ...

Study on the generalized model of the lateral frictional resistance distribution under the ultimate state of the bored piles based on stratum structure

Research Article of Scientific Research and Reviews Study on the generalized model of the lateral frictional resistance distribution under the ultimate state of the bored piles based on stratum structure Meng-di SUN College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China. Based on the results of the ultimate load distribution of the part of the bored piles in the vertical static load field test of single pile, combined with the analysis of the relevant piles and soil data, found that the lateral friction resistance distribution of the bored pile in the ultimate load state was mainly related to structure of the soil layer on the pile side. Based on this, the side resistance distribution mode of the pile under the ultimate load conditions is generalized into a trapezoid, wing-shaped, micro-arc, and “R” shaped. The lateral friction resistance of the pile is positively correlated with the hardness of the soil, and the depth, thickness can influence the pattern of distribution of lateral friction resistance. Keywords: Stratigraphic structure; Bored pile; Ultimate load; Lateral friction resistance; Distribution mode; Generalization ...

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Scientific Research and Reviews

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