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The purpose of this experiment was to study the effects of dietary microencapsulated compound probiotics on the growth performance, immune function, and intestinal flora of weaned piglets. Twenty-four healthy weaned piglets (Landrace x Rongchang) with similar weight were randomly divided into a control group and experimental group, with three replicates in each group and four pigs in each replicate. The control group was fed with corn-soybean meal basal diet, while the experimental group was fed with 0.1% microencapsulated compound probiotics, including Saccharomyces cerevisiae, Lactobacillus plantarum and Bacillus subtilis. The trial period was 42 days. The results showed that compared with the control group, the average daily gain, average daily feed intake, and feed-to-weight ratio of piglets in the experimental group had no significant difference, but the serum growth hormone content tended to increase. Compared with the control group, the concentrations of IgA, IgG, and IgM in the experimental group had no significant difference, but the concentrations of interleukin-1 and interleukin-6 decreased significantly (P<0.05). The relative abundance of Muribaculaceae, ruminal bacteria, Christenium and other bacteria in the experimental group increased significantly. The study indicates that adding microencapsulated compound probiotics in diet increased the content of growth hormone in piglets, reduced the content of inflammatory molecules, increased the richness and diversity of intestinal microorganisms. [ABSTRACT FROM AUTHOR]

The experiment studied the effect of Arbuscular mycorrhizal fungi (AMF) function in the grasses and legumes mixture. A mixed sowing experiment of Medicago varia Martin. cv. Caoyuan No.3 and Agropyron mongolicum Keng. cv. Mengnong No. 1 was carried out on four years grassland. The paper researched AMF infection, soil nitrogen and phosphorus nutrients situation. The results showed that the total yield of mixed sowing was 24.3% higher than that of monoculture alfalfa and 46.9% higher than that of monoculture ice grass, and the plant height of mixed sowing ice grass was higher than that of monoculture ice grass. The pH value of rhizosphere soil of mixed grassland was significantly lower than that of non-rhizosphere soil. The vesicle infection rate of mixed sowing ice grass was significantly higher than that of monoculture ice grass. The total nitrogen of mixed sowing soil was higher than that of alfalfa monoculture or ice grass monoculture. The available P content in rhizosphere soil was higher than that in non-rhizosphere soil. The experiment indicates that the soil yield can be increased with the increase of Arbuscular fungi infection rate, the increase of nitrogen and phosphorus content in rhizosphere soil, and the decrease of soil pH value. [ABSTRACT FROM AUTHOR]

Aiming at the problems of three-phase PWM rectifier system on rapidity and robustness, circuit topology and mathematical model were studied. Based on analyzing the working principle of linear active disturbance rejection controller (LADRC) strategy and component, a new integral linear active disturbance rejection controller (I-LADRC) has been proposed. The voltage and current could be controlled independently through the double closed loop control system based on coordinate transformation. In the control system, current inner loop was established on the basis of feedforward decoupling PI controller, and the voltage outer loop was based on I-LADRC. The switching signals were generated by space vector pulse width modulation (SVPWM) method. At last, confirmatory experiments were carried out by Simulink in which the results of PI, LADRC and I-LADRC have been compared. The results indicate that the three-phase PWM rectifier with I-LADRC which has no overshoot is rapid and robusto. [ABSTRACT FROM AUTHOR]

Malware variants make a big threat to security of information system. To detect variants of malicious codes effectively, through dynamic monitoring and parsing system calls and parameters, this paper related different object operations to the same object, and constructed the object state changing graph. Then it processed the object state changing graph by an anti-obfuscation method to acquire the anti-interference behavior signatures graph of malware. Finally, it detected unknown codes based on the behavior signatures graph. As the results of the experiments show, the method can effectively resist the inference like the rearrangement of malicious codes and the inserting of useless system call. It has a low false negative rate in detecting normal programs and has a good result in detecting variants of malicious codes. [ABSTRACT FROM AUTHOR]

The maximum circumferential stress theory and the effective stress theory were improved based on the boundary collocation method, and then two kinds of failure criterion in the laboratory-scale were established. Moreover, the relationships between rock uniaxial tensile strength and fracture toughness were also developed through the corresponding criteria. Finally, the dimensionless variable which could quantify the uniaxial tensile strength was proposed; meanwhile the influences of crack inclination and crack length on the initial failure angle and the tensile strength of cracked rock mass were analyzed. The results show that both the initial failure angle and the tensile strength increase with the increase of crack inclination, and for specimens containing macroscopic cracks, both the initial failure angle and the tensile strength decrease as the crack length increases which indicates that the specimen scale has a great impact on rock fracture strength. [ABSTRACT FROM AUTHOR]

The lake water environmental problem has been more and more serious. It is a very important subject to find a more effective way of water pollution control. In this paper, the lake water environment decision support system (DSS) is set up, using the knowledge and methods of complex system and multi-agent modeling. The various entities in the lake water environment (such as government, polluting enterprise and a lot of aquatic organisms) are abstracted as the agents, which have some certain intelligence. A method based on reinforcement learning is proposed to achieve the intelligent prediction and warning of the lake water pollution. At last, a preliminary simulation experiment is conducted on the application of Taihu Lake basin. The experiment results show that the proposed method is effective. [ABSTRACT FROM AUTHOR]