The Finite Element Simulations Analysis of Solid Heat Transfer

phenomena of heat conduction transfer was calculated with FEM software Ansys mechanical APDL, which concerns about a tube joint. The second class boundary is to be set as the boundary conditions . Several sizes of mesh grid have been processed. The calculated results of temperature fi elds and heat fl ux fi led were plot and analyzed. The mechanical APDL is a powerful language and tool to calculate and simulate the engineering problems prefer to the GUI method. The operate parameters such as mesh size and calculate cycle can be easily changed and manipulated

Intelligent Interactive Model of Tourism Planning Based on Multi Neuron Algorithm

As a strategic and systematic development and management activity, tourism planning plays an important role in tourism, and its development degree is directly related to the economic and social benefits of the whole country. With the continuous improvement of China's national economic level and the great changes in people's quality of life and cultural concepts. How to use modern information technology to realize the effective integration of tourist information has become one of the problems to be solved. Therefore, the research on establishing intelligent interactive system of tourism planning based on multi neuron neural network model has practical significance. Firstly, this paper introduces the meaning, function and characteristics of intelligent interaction in tourism planning, and then studies the application of multi neuron algorithm. Based on this algorithm, an intelligent interaction model in tourism planning is designed, and its function is experimentally analyzed. Finally, the experimental results show that the basic tourism cost is controlled within 30000. According to the rationalization assumption of the mathematical model, through a reasonable combination of the days spent in each region, in order to visit the areas of interest to tourists in fewer days. The mathematical model of tourism route planning established in this paper can help travelers make reasonable travel plans, and can also judge whether the determined travel plans are reasonable and the approximate budget

ON Intelligent Interactive Model of Tourism Planning Multi Neuron Algorithm

The research on establishing intelligent interactive system of tourism planning based on multi neuron neural network model has practical signifi cance. Firstly, this paper introduces the meaning, function and characteristics of intelligent interaction in tourism planning, and then studies the application of multi neuron algorithm. Based on this algorithm, an intelligent interaction model in tourism planning is designed, and its function is experimentally analyzed. Finally, the experimental results show that the basic tourism cost is controlled within 30000. According to the rationalization assumption of the mathematical model, through a reasonable combination of the days spent in each region, in order to visit the areas of interest to tourists in fewer days. The mathematical model of tourism route planning established in this paper can help travelers make reasonable travel plans, and can also judge whether the determined travel plans are reasonable and the approximate budget

Effects of Supplementation of Microalgae (\u3cem\u3eAurantiochytrium\u3c/em\u3e sp.) to Laying Hen Diets on Fatty Acid Content, Health Lipid Indices, Oxidative Stability, and Quality Attributes of Meat

The present study is conducted to investigate the effects of dietary docosahexaenoic acid (DHA)-rich microalgae (MA, Aurantiochytrium sp.) on health lipid indices, stability, and quality properties of meat from laying hens. A total of 450 healthy 50-wk-old Hy-Line Brown layers were randomly allotted to 5 groups (6 replicates of 15 birds each), which received diets supplemented with 0, 0.5, 1.0, 1.5, and 2.0% MA for 15 weeks. Fatty acid contents and quality properties of breast and thigh muscles from two randomly selected birds per replicate (n = 12) were measured. The oxidative stability of fresh, refrigerated, frozen, and cooked meat was also determined. Results indicated that supplemental MA produced dose-dependent enrichments of long-chain n-3 polyunsaturated fatty acids (n-3 LC-PUFA), predominantly DHA, in breast and thigh muscles, with more health-promoting n-6/n-3 ratios (1.87-5.27) and favorable lipid health indices (p \u3c 0.05). MA supplementation did not affect tenderness (shear force) and color (L*, a*, and b* values) of hen meat nor muscle endogenous antioxidant enzymes and fresh meat oxidation (p \u3e 0.05). However, the n-3 LC-PUFA deposition slightly increased lipid oxidation in cooked and stored (4 °C) meat (p \u3c 0.05). In conclusion, MA supplementation improves the nutritional quality of hen meat in terms of lipid profile without compromising meat quality attributes. Appropriate antioxidants are required to mitigate oxidation when such DHA-enriched meat is subjected to cooking and storage

A simple encoder scheme for distributed residual video coding.

Rate-Distortion (RD) performance of Distributed Video Coding (DVC) is considerably less than that of conventional predictive video coding. In order to reduce the performance gap, many methods and techniques have been proposed to improve the coding efficiency of DVC with increased system complexity, especially techniques employed at the encoder such as encoder mode decisions, optimal quantization, hash methods etc., no doubt increase the complexity of the encoder. However, low complexity encoder is a widely desired feature of DVC. In order to improve the coding efficiency while maintaining low complexity encoder, this paper focuses on Distributed Residual Video Coding (DRVC) architecture and proposes a simple encoder scheme. The main contributions of this paper are as follows: 1) propose a bit plane block based method combined with bit plane re-arrangement to improve the dependency between source and Side Information (SI), and meanwhile, to reduce the amount of data to be channel encoded 2) present a simple iterative dead-zone quantizer with 3 levels in order to adjust quantization from coarse to fine. The simulation results show that the proposed scheme outperforms DISCOVER scheme for low to medium motion video sequences in terms of RD performance, and maintains a low complexity encoder at the same time

Hypericin enhances β-lactam antibiotics activity by inhibiting sarA expression in methicillin-resistant Staphylococcus aureus.

Bacteremia is a life-threating syndrome often caused by methicillin-resistant Staphylococcus aureus (MRSA). Thus, there is an urgent need to develop novel approaches to successfully treat this infection. Staphylococcal accessory regulator A (SarA), a global virulence regulator, plays a critical role in pathogenesis and β-lactam antibiotic resistance in Staphylococcus aureus. Hypericin is believed to act as an antibiotic, antidepressant, antiviral and non-specific kinase inhibitor. In the current study, we investigated the impact of hypericin on β-lactam antibiotics susceptibility and mechanism(s) of its activity. We demonstrated that hypericin significantly decreased the minimum inhibitory concentrations of β-lactam antibiotics (e.g., oxacillin, cefazolin and nafcillin), biofilm formation and fibronectin binding in MRSA strain JE2. In addition, hypericin significantly reduced sarA expression, and subsequently decreased mecA, and virulence-related regulators (e.g., agr RNAⅢ) and genes (e.g., fnbA and hla) expression in the studied MRSA strain. Importantly, the in vitro synergistic effect of hypericin with β-lactam antibiotic (e.g., oxacillin) translated into in vivo therapeutic outcome in a murine MRSA bacteremia model. These findings suggest that hypericin plays an important role in abrogation of β-lactam resistance against MRSA through sarA inhibition, and may allow us to repurpose the use of β-lactam antibiotics, which are normally ineffective in the treatment of MRSA infections (e.g., oxacillin)