Advances in Research and Reviews


The wood decomposition system and community diversity of fungi

Research Article of Advances in Research and Reviews The wood decomposition system and community diversity of fungi Xiaorui Tao1*, Zhongjun Zhu2, Yaobing Ding1, Xinhao Li1 1College of Economics & Management, China Three Gorges University, Yichang, 443002, China. 2College of Literature & Media, China Three Gorges University, Yichang, 443002, China. Fungi are critical agents of the global carbon cycle, however, our ability to link fungal community composition to ecosystem functioning is constrained by a limited understanding the wood decomposition rates of fungus. Here we examined the wood decomposition rate of fungus and the impact of fungal community diversity on the wood decomposing. To understand the relationship between the wood decomposition rate and the traits of fungi, we introduced 37 types of fungus into the wood decomposition system and set the growth rate and moisture tolerance of fungus as the explanatory variables. In addition, we constructed the competition, parasitic and symbiotic model based on Malthus-block growth comprehensive to analyze and predict the interactions between different fungus. The entropy weight-TOPSIS model was established to understand the biodiversity of fungus and obtain the relative dominance degree which can reflect the advantages and disadvantages of different fungus. The ARIMA model was used in five different environments to predict the impact of fungal community diversity on the overall efficiency of wood decomposing. Our research can not only help us to better understand the fungus community, but also significant for improving the quality of climate and the carbon cycle. Keywords: Fungi; Malthus-Retarded growth; Entropy weight-TOPSIS; ARIMA ...

Principal optimization of semi-submersible support platform based on multi-island genetic algorithm

Research Article of Advances in Research and Reviews Principal optimization of semi-submersible support platform based on multi-island genetic algorithm Changyi He1*, Ji Zeng1, Zhuyun Shao1, Shifeng Lu1, Bowen Jin1 1Shanghai Maritime University, Merchant Marine College, Shanghai, 201306, China. Aiming at the conceptual design stage of semi-submersible support platform, the optimal primary scale scheme is designed. Latin hypercube design is adopted to sample the sample space. At the same time, SESAM software is used for parametric modeling based on sample point parameters to obtain the model of all schemes. According to the existing data of semi-submersible platforms, the main scale constraints of platforms are determined, and the mathematical model with the minimum heave, trim and roll response as the objective function is established. The multi-island genetic algorithm was used to optimize the main scale of the supporting platform model, and the scheme with the highest stability and suitable displacement was selected. The results show that the model and algorithm are feasible, and the smallest scale scheme of each response can be obtained under the constraint conditions. The multi-island genetic algorithm is proposed to optimize the primary scale of the platform, which has a strong reference value for the determination of the primary scale scheme in the conceptual design stage of the platform. Keywords: Multi-island genetic algorithm; Latin hypercube design; Principal dimensions; Optimize ...

Probiotics And Medicinal Plants In Poultry Nutrition: A Review

Review Article of Advances in Research and Reviews  Probiotics And Medicinal Plants In Poultry Nutrition: A Review 1Akintayo Balogun Omolere. M,  2Alagbe, J.O 1University of Abuja 2Sumitra Research Institute The use of medicinal plants and probiotics has recently gained interest since the ban on the use of antibiotics as growth promoters by the European Union in 2006. They are new alternatives to bridge the gap between food safety and production. Medicinal plants are cheaper and loaded with several minerals, vitamins and phytochemicals such as: alkaloids, saponin, flavonoids, phenols, tannins etc. which allows them to perform multiple biological activities. Probiotics on the other hand, repopulates the gastro intestinal tracts (GIT) with beneficial bacteria which controls the action of pathogens and control their population, thereby reducing mortality and improving general performance of an animal. Keywords: Probiotics; medicinal plants; pathogens; phytochemicals ...

Predicting Traffic Congestion Time Based on Kalman Filter Algorithm

Research Article of Advances in Research and Reviews Predicting Traffic Congestion Time Based on Kalman Filter Algorithm Tianlong Wang1*, Xiaorui Tao2, Jiamei Zhang3, Yulei Li4 1College of Civil Engineering & Architecture, China Three Gorges University. 2College of Economics & Management, China Three Gorges University. 3College of Computer and Information Technology, China Three Gorges University. 4College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002, China. This paper mainly solved the problem of predicting the time required for vehicles to pass through congested roads. In order to obtain more accurate prediction time, a Kalman prediction model based on multiple linear regression was established in this paper. Taking the 2008 Yanan elevated road in Shanghai as an example, the measured data in this section was collected from the traffic measured data sharing network, and the above model was used to obtain good prediction results. As an improvement, we used BP neural network instead of multiple linear regression to make the prediction result more in line with the actual situation. Keywords: Multiple linear regression equation; Kalman filter algorithm; BP neural network ...

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Advances in Research and Reviews

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