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对涡轴发动机压气机叶片附着物进行分析, 根据附着物特征研究了针对性的清洗介质并进行了实验验证, 为压气机性能恢复奠定了基础。采用扫描电子显微镜、热重分析、红外光谱等方法对压气机叶片附着物进行分析, 结果表明压气机导流叶片和静子叶片附着物的颗粒状态、元素含量、有机物类型等特征存在明显区别。利用分析得到的附着物特征提出了新型的水基微乳型清洗介质, 实验表明新型清洗剂对压气机附着物的清洗效果良好。对清洗剂的金属材料腐蚀性能进行验证, 实验表明新型清洗剂具有良好的缓蚀性能。

Alzheimer’s disease (AD) is a neurodegenerative disease, mainly caused by brain cell aging, impaired autophagy function, and reduction of nicotinic acetylcholine receptors. Amyloid-β (Aβ) peptide aggregation and Tau protein hyperphosphorylation, as well as memory impairment and cognitive dysfunction, are hallmarks of the disease. Clinical current traditional anti-AD drugs have shortcomings such as ineffective efficacy and large side effects. Therefore, the research of new effective therapeutic drugs has a very broad space for development and value significance. Plant essential oil (EO) has very obvious advantages in the treatment of neurodegenerative diseases such as Alzheimer’s disease. Because of their lipophilicity, small molecular weight, easy to cross the blood-brain barrier (BBB), and rich active ingredients, they have significant effects on regulating AD-related neurotransmitters and hormone release, and regulating the expression of brain-derived neurotrophic factors and pro-inflammatory cytokines. This article describes the pathogenesis of AD, summarizes recent studies on the anti-Alzheimer’s disease effects and mechanisms of essential oils, and provides a review of therapeutic AD chemical constituents in plant essential oils. The article provides a theoretical basis for research on plant essential oils for alleviating and treating Alzheimer’s disease.

This article discusses the importance of the use of natural preservatives in cosmetics and personal care products, especially in the context of the search for alternatives to chemical preservatives in order to reduce health risks. The article summarizes the effects of different extraction and preparation methods on the yield and purity of natural preservatives and discusses strategies to improve their stability. By carefully classifying and analyzing the inhibition mechanisms of natural preservatives, their value and potential in practice are highlighted. The aim is to provide researchers and industry practitioners with insights into the research and application of natural preservatives and to promote their widespread use in the industry.

Plants have innate immune systems and protective mechanisms to resist the attack of pathogenic microorganisms. Unlike mammals, they lack mobile defensive cells and therefore rely on autonomous cell events for protection. These cells have a wide range of recognition capabilities for detecting pathogens, thus filling the gap of the adaptive immune system. These protective mechanisms will remain inactive or latent until they are activated after exposure to inducers or application of stimuli. Only after they are affected by pathogens or the same elicitors do they begin to show an active state. The role of oligosaccharides in plant immunity is gradually attracting widespread attention. Therefore, this paper summarizes the functions of oligosaccharides related to plant immunity and provides examples of induced defense events. The recognition of sugar molecules as signal molecules in plants has also been proposed. In this review, we focus on the development andapplication of oligosaccharides in plant immunity and their potential value in agricultural field.

Weighted average cost of capital (WACC) is a method of calculating a company's cost of capital by weighting the weight of each type of capital to the total source of capital.Economic Value Added (EVA) is the net operating profit after tax of an enterprise minus the opportunity cost of all invested capital including equity and debt. Given the "one-size-fits-all effect" of WACC in the evaluation of central enterprises' performance, this paper uses PetroChina as an example to verify whether there is an "inflated" or "overestimated" EVA in the evaluation of central enterprises' performance through the valuation of WACC. The results show that the relatively small WACC in EVA performance evaluation directly leads to the EVA overstatement of PetroChina. National industries are classified according to the competitiveness of industries in terms of economic value added creation and contribution. Replacing the current EVA evaluation criteria with EVA rate evaluation criteria or Delta EVA evaluation criteria is a more practical idea to solve the problem of "overstated" or "overestimated" national EVA.

Guizhou is one of the first national ecological civilization pilot zones selected, which needs to play a leading role in the road of ecological civilization construction.The good ecological environment status quo and the continuous high growth rate of economic development provide a research basis for the project. In-depth analysis of the relationship between ecological environment and economic development, to provide scientific suggestions for the solid progress.The main achievements of the research are as follows: (1) Construct the practice evaluation index system of “Two mountains” in ecological civilization pilot area in Guizhou Province, and the overall evaluation is “high” (2) the evaluation result of “Two mountains” in Bijie pilot area shows that the evaluation result of “Two mountains” practice index in Bijie pilot area increased from 0.056 in 2015 to 0.107 in 2019, the comprehensive index of ecological civilization in Bijie pilot area increased steadily, and the total value of green water and green mountains in Bijie pilot area was 4201235.478 billion yuan in 2019(3) The fitting curve of the relationship between environmental and economic benefits in Chishui River Basin in Guizhou Province shows that the ecological environment protection work in Guizhou Province effectively promotes the rapid improvement of environmental benefits and economic benefits; (4) the accounting of ecosystem service value in Chishui City shows that the total value of Chishui city in 2019 was 4, 2170.788 billion yuan; (5) Summarize the “two mountains theory” in Guizhou innovation practice experience and model, put forward “speed up the construction of green ecological system, improve environmental carrying capacity” “speed up the construction of characteristic industry system, improve urban economic strength” “speed up the construction of modern urban system, improve the urban agglomeration ability” “vigorously develop circular economy, efforts to promote production mode change” “actively guide form green low carbon consumption pattern” and so on five countermeasures.

In this study, the investigators used comparative experiments in order to study the age differences and the effects of temperature changes on physiological responses. Firstly, This paper analyzed the thermal sensation differences and the trend of changes in the design working conditions in different age groups. The researchers found that the thermal sensation of elderly people was lower than that of young people in the hot environment and higher than that of young people in the cold environment. On this basis, the heart rate changes of the elderly in the dynamic environment and the differences with the young people were studied. The results showed that the heart rate of the elderly and the young people increased with the increase of temperature in the temperature rise condition, but there was no significant difference between the two groups. In the temperature drop condition, the heart rate decreased with the decrease of temperature. Finally, an equation was developed to quantitatively predict heart rate parameters. The equation predicts human heart rate by ambient temperature, and the results show that the least square error of the prediction equation for elderly people is 46, while the average difference between the actual and predicted values is 1.2. Therefore, it is recommended to use the proposed heart rate prediction equation when predicting the healthiness of heart rate in elderly people.

This paper investigates the effect of the “tornado” air distribution in a roof hood under the influence of lateral winds and the ability of this air distribution to resist the influence of lateral winds using numerical simulations. Numerical simulations were conducted to investigate the effect of the “tornado” air distribution on improving the pollutant trapping effect of the roof hood under the influence of lateral winds. The results of the study show that the “tornado” air distribution can effectively improve the capture efficiency of the roof hood under the influence of lateral winds. The results show that the “tornado” airflow can effectively improve the capture efficiency of the rooftop hood under the effect of lateral wind. For the study subject, the ventilation system can achieve energy saving of 74×104kW·h/a and carbon reduction of 720t/a. It provided a reference for the renovation and new construction of roof hoods for large electric furnaces.

The identification of local structure composition may help understand the network construction law from a bottom-up view. Focusing on local structure, the network subgraph approach was applied to systematically analyze 3- to 7-node subgraphs in several transportation networks in China. Results show that the number of subgraph and forms increase as the subgraph scale increase, but the rate are different, which indicates the diversity of building blocks in transportation networks. Moreover, both the network subgraph rank can be divided into two kinds, each corresponding to one of the transport geographical networks and transport service networks. The two kinds reflect the unity of construction rule of geographical network or service network due to the similarity of the cost, technical and space constraints. The methods and results can be used as methods and standards in the planning, evaluation and optimization of transportation networks.

The short-term probabilistic prediction of wind power has the characteristics of spatial dependence and time-series dependence. Considering the two characteristics at the same time can improve the prediction level. In this paper, a probabilistic short-term wind power prediction model considering the temporal and spatial dependence of prediction error is proposed. Considering the coupling relationship between the two properties, the NWP(Numerical Weather Prediction) wind speed point prediction error in the historical period is hierarchical clustering, and the empirical distribution model is used to fit the probability distribution of the error under different wind conditions; the cumulative empirical distribution probability value corresponding to the NWP wind speed at the time to be predicted is bootstrap sampling; under the given confidence level, the possible wind speed at each time point to be predicted in the short term is calculated The power fluctuation range of the generator. The test results show that this method can ensure the statistical significance and fitting stability of the sub sample set at the same time, and improve the classification accuracy of the days to be predicted. Compared with considering a single property, the result of probability prediction performs better on multiple evaluation indexes.

In finance area, portfolio construction is one of the most vital questions since the primary work of modern finance and attract numerous studies. In this paper, we focused on this issue in pharmaceutical industry since the industry is crucial for human beings. We adopted several methods for portfolio construction, like Equal Weighted Model, Monte Carlo simulation, and maximize Sharpe ratio etc. Specifically, five assets are selected. Then based on the Monte Carlo method, we constructed two optimized portfolios in the framework of the efficient frontier, i.e., portfolios with minimum variance and maximum Sharpe ratio. By analyzing the two portfolios, we found that the NVS accounts for the largest proportions in the optimized portfolio. The results in this paper may shed lights for certain investors who invest in pharmaceutical industry.

In an electric-gas integrated energy system that considers the coupling conditions between systems, there is energy transaction between the systems. So the node energy price setting method and market clearing strategy of the coupled system are worth studying. First of all, this paper establishes a market clearing model for electricity / gas subsystems and a method for solving node energy prices. Then, a market clearing model of the electrical coupling system is established based on this. Finally, an example to verify the effectiveness of the nodal energy price formulation method and the market clearing model is given.

In recent years, with the rapid development of the economy and the continuous advancement of the urbanization process and the continuous deepening of the degree of industrialization, the problem of air pollution is rapidly expanding in cities. Especially since 2013, a large-scale smog problem has appeared in the northern part of my country. The problem of air pollution has received widespread attention from the state and society, and has now become an important influencing factor restricting the construction of ecological civilization in my country. Therefore, through the analysis of atmospheric pollutants and the guidance of urban planning, we can fully optimize and distribute the industrial structure and deal with atmospheric problems from the source.

At 22:55 on June 17, 2019, an earthquake of magnitude 6.0 occurred in Shuanghe Town, Changning County, Yibin City, Sichuan Province. In Shaanxi Province, the obvious earthquake sense appeared in some places which are 600 km to 800 km away from the epicenter. Based on the collection, collation and analysis of the data about Weihe Basin, Hanzhong Basin and Ankang Basin in Shaanxi Province, and the analysis of representative seismic network records and seismic wave propagation distance in each basin, the mechanism of the long-period disaster induced by the Changning Ms6.0 earthquake in Shaanxi Province is revealed. This study has a positive significance for the seismic fortification of long-period structures in this area, the scientific popularization of long-term ground motion effect, and the avoidance of earthquake panic.

Ensuring food security is a long-term and arduous task. Timely and accurate grasp of grain production capacity information can provide favourable data support for the nation to formulate macroeconomic plans and food policies. With the development of remote sensing technology, it has been widely used in crop yield estimation models. In this paper, the yield of spring maize in Da’an of Jilin province was estimated based on vegetation indexes calculated from Landsat-8 images. The results have shown that the fitting degree and estimation accuracy of yield estimation models at tasselling stage are significantly better than those at milk stage. Among these vegetation indexes, the model based on GNDVI has better fitting degree and estimation accuracy. This paper can provide reference for the post construction evaluation of high standard farmland in China.

In this paper, the method of combining high-density electrical exploration and borehole joint profile is used to explore the Dancun-Longyang town fault at the LNG peak shaving station and gas supply pipeline engineering site of Luyang lake. The distribution and activity of the fault are determined, providing a basis for seismic fortification and seismic geological disaster evaluation in the line

In this paper, the method of combining high-density electrical exploration and shallow seismic exploration is used to explore the Lintong-chang ’an fault in relation to Lintong line of rapid rail transit in Xi’an city. The distribution and activity of the fault are determined, providing a basis for seismic fortification and seismic geological disaster evaluation in the line.

Metal-organic frameworks (MOFs) are a kind of porous materials, which has large specific surface area, high porosity, diverse structure, excellent thermal stability and solvent stability etc. So, it has attracted extensive attention as an adsorbent for solid phase extraction (SPE). Polycyclic aromatic hydrocarbons (PAHs) are a kind of persistent organic pollutants that can lead serious hurts to the ecological environment and human health. The purpose of this paper is to optimize the types and proportion of mixed lanthanum based MOFs, and to improve the enrichment efficiency of SPE. Then a method to analysis PAHs by SPE-HPLC was established. Several main factors that could effected the pre-treatment efficient, such as the amount of adsorbent, the amount and pH of PAHs water sample, and the volume of eluent, were investigated. After optimized, the extraction of seven PAHs in water sample was achieved and the recovery rates were 80.67%, 80.06%, 54.69%, 82.62%, 118.87%, 70.30% and 95.57% respectively.

Citizens eager to know the local pollution level to prevent from air pollution. The real-time measurement for everywhere is a very expensive way, a statistical model based on artificial neural network is applied in this research. This model can estimate particle pollution level with some influencing factors, including background pollution level, weather conditions, urban morphology and local pollution sources. The monitoring from regulatory monitoring sites is considered as the background level. The field measurements of 20 locations are conducted to feed the output layer of ANN model. The average relative error of prediction compared with measurement is 9.24% for PM10 and 18.90% for PM2.5.

Aiming at the large amount of memory in high bit rate punctured convolutional codes, a soft recognition algorithm based on block Hadamard matrix (B-SWHT) is proposed. By using the idea of block Hadamard matrix operation, the soft WHT algorithm with excellent fault-tolerance performance is applied to the recognition of high-rate punctured convolutional codes. The simulation experiments show that the algorithm can effectively reduce the memory required for the recognition of high-rate punctured convolutional codes while maintaining high fault-tolerance performance. This paper provides a feasible solution for the identification of high bit rate punctured convolutional codes.

In order to improve the covertness of radar embedded communication based on the eigenvalue decomposition radar embedded communication waveform design scheme, a new waveform design scheme that combines the idea of shaped design is constructed. In this paper, the background and concept of radar embedded communication are introduced in detail. Three existing waveform design schemes are analyzed. Using de-correlation filter receivers, a weighted waveform design scheme for shaped non-dominant subspace feature vectors is constructed and analyzed. The communication covertness and reliability is illustrated. Both the theoretical analysis and the simulation show that this scheme improves the covertness of communication.

The intense climate changes and human activities have a great impact on the variation of the runoff of the coastal area of South China. In this work, the Soil and Water Assessment Tool (SWAT) is used to quantify the impact of land use and climate change of the Nanliujiang catchment on the runoff by setting 4 scenarios of land-use and climate change. The results show the runoff of the simulated and measured values had a similar trend. The value of relevant coefficient is above 0.8, and the value of Nash-Sutcliffe efficiency coefficient is about 0.8, which indicate that the SWAT model is fit for the study area. The annual average runoff depth during the period from 1995 to 2013 has increased by 53.5mm, of which the land use change resulted in 13.0mm increase on the annual average runoff depth while the climate change resulted in 40.9mm increase on the annual average runoff depth, therefore, the climate change has greater effect then the land use change. This work will delineate some helpful information for the water resources management as well as ecological protection in the coastal area of South China.

Competing manufacturers, who sell their products through retailers, may face the strategic distribution channel design question of whether to establish an “store-within-store” channel or not. With consider of the role of sales effort, we analyze the manufacturer channel strategies. Two cases are considered: competing manufacturer and competing retailer. We built four game models corresponding to four channel strategies, and discussed the influence of manufacture's bargaining power coefficient, prices competition intensity, and sales effort competition intensity on manufactures' channel strategies.

To study local buckling of Corrugated Steel Plate under concentrated loads. Through experimental tests and theorical analysis, bearing capacity and failure form of Corrugated Steel Plate were discussed. Bearing capacity of Corrugated Steel Plate associated with local buckling, which can be assumed to be composed of three parts: buckling of plane rigid frame caused by concentrated loads, buckling of roof and web caused by bending stress. These three parts were unified by buckling relevant equations, then local buckling calculation formula was obtained. Comparing with experimental results, the loads obtained by local buckling calculation formula agree with test results very well. Since the buckling calculation is independent of the material strength, the calculation formula of local buckling is reliable, it can be used to evaluate local buckling of Corrugated Steel Plate.

In this paper, we study the task of template building in automatically generate NBA match reports from NBA live text. As a preliminary study, we collect and process the historical reports compiled by the editors and get different kinds of sentences. Our innovative proposal is to divide the NBA match reports into 11 categories, which covering almost all cases. We use different machine learning methods to classify sentences. Each class finally constructs a template library to service the next automatic writing. By comparing different methods, we get a higher accuracy classification structure. The evaluation results show that our method does construct a template library.

In this paper, the flow area of the generator and the solid area of the generator are taken as the research object. According to the theory of fluid mechanics and heat transfer, the CFD software Fluent is selected as the calculation tool, and the direct coupling simulation analysis method is adopted to determine the boundary conditions and carry out the ship power generation. Numerical simulation of fluid-solid coupling. The 1/8 circumference of the motor is intercepted as a simulation model. Firstly, the simulation is carried out for the fluid field. According to the simulation results, the wind resistance of each air path in the motor and the total pressure drop of the motor are adjusted, and then the coupling simulation calculation of the fluid field and the temperature field is performed. The calculation results of the temperature field are evaluated.

Agricultural irrigation is an important factor affecting the development of agricultural drought, which is not showed in the Palmer Drought Severity Index (PDSI). In this work, the water balance model in PDSI has been modified by adding irrigation items, which improves the accuracy of the calculation results of the model and shortens the calculation time step. The modified Palmer Drought Severity Index (M_PDSI) is constructed by using daily weather data and irrigation data from 1985-2012 in the study area. Weekly indices cumulated in each growth stage are used for the implementation of crop models by a linear multiple regression model. The crop yield models are evaluated to determine a more appropriate agricultural drought index between M_PDSI and PDSI by comparing the predicted yields to the observed yields. By comparing the development of agricultural drought, it can be seen that the M_PDSI can improve the sensitivity to the dynamic change of soil wet and dry in short-term, and the development process of drought is more in line with the actual situation; by comparing the fitting test results of the predicted yields, it can be seen that, the M_PDSI ranks better than the PDSI in all four goodness-of-fit measures, M_PDSI is proved to be more suitable than PDSI for evaluating agricultural drought.

Accurate information about regional precipitation and trends in spatiotemporal variation is crucial, both from the perspective of quantifying water budgets and to determine appropriate vegetation restoration. The objectives of this study were to evaluate spatiotemporal changes in precipitation and to analyze the monthly, annual, and seasonal precipitation trends of 85 stations in the Loess Plateau during 1957−2013. The Mann−Kendall test and Sen’s slope estimator were applied to analyze the precipitation data. Monthly precipitation trends exhibited apparent regional differences over the Loess Plateau, significant increasing trends in rainfall were found in winter. On the seasonal scale, the magnitude of significant negative trends in seasonal rainfall varied from 0.595 mm/yr2 to 2.732 mm/yr2. The magnitude of significant positive trends varied from 0.010 mm/yr2 to 1.987 mm/yr2. One of the most remarkable findings was that all the stations showed significant positive trends in winter. For annual average rainfall, the magnitude of significant positive trends varied from 2.075 mm/yr2 to 3.427 mm/yr2. No significant negative trends were detected. Although, the annual average rainfall over the Loess Plateau showed a non-significant increasing trend, the seasonal and regional pattern was obvious. Such findings can provide important implications for ecological restoration and farming operations across the study region.

We rely on the volume integral equation (VIE) method for the simulation of loggingwhile- drilling (LWG) tool response using the integral equation fast Fourier transform (IE-FFT) algorithm to accelerate the computation of the matrix-vector product in the iterative solver. Depending on the virtue of the Toeplitz structure of the interpolation of the Green’s function on the uniform Cartesian grids, this method uses FFT to calculate the matrix-vector multiplication. At the same time, this method reduce the memory requirement and CPU time. In this paper, IEFFT method is first used in the simulation of LWG. Numerical results are presented to demonstrate the accuracy and efficiency of this method. Compared with the Moment of Method (MOM) and other fast algorithms, IE-FFT have distinct advantages in the fact of memory requirement and CPU time. In addition, this paper study the truncation, mesh elements, the size of the interpolation grids of IE-FFT and dip formation, and give some conclusion with wide applicability.

This paper investigates how asymmetric product substitutability affect the equilibrium contract choices as well as the performances of the supply chain players. We consider a market with two competing supply chains, including two competing manufacturers and two common retailers. Two frequently used contracts: wholesale-price and quantity-discount are considered. We find that under whether the wholesale-price or quantity-discount contract can be chosen by manufacturers would depend on the degree of product substitutability.

Since each component has different impacts on reliability of the industrial network system, a multi-layer reliability evaluation method was proposed in this paper. Firstly, in order to construct multi-layer reliability evaluation system, a framework of industrial network system was introduced based on analytic hierarchy process (AHP). Secondly, a multi-layer reliability evaluation model with weight coefficient of components was proposed based on reliability block diagram (RBD). Thirdly, the simple rule-based fuzzy judgment and risk priority number (RPN) were applied to determining weight coefficient. Last, a reliability evaluation case of the industrial network system for an electronic automatic assembly line was studied. It shows that the proposed method is more reasonable than the conventional reliability analysis method, and the reliability prediction result is consistent with the engineering practice.

The principals and characteristics of three typical time frequency analysis methods that Short Time Furious transformation, wavelet transformation and Hilbert-Huang transformation are introduced, and the mathematical definition, characteristics and application ranges of these analysis methods and so on are pointed out, then their time-frequency local performance is made analysis and comparison through computer programming and simulation.

A three factors quadratic regression rotation combination design was adopted to optimize the technical conditions of microwave low temperature carbon dioxide flash puffing (MLTCDFP) process for dwarf banana in the single factor’s foundation. This paper analyzed the effect of puffing temperature, puffing pressure, vacuum drying temperature and the interaction of the three factors on color, crispness, and the effect of hardness and water content. Based on the experimental data, the quadratic regression model of four indexes was deduced, then variables were analyzed with response surface methodology (RSM). The weights of four evaluation indexes was determined by factor analysis. The regression square was obtained by the comprehensive score as follow: Y=0.955+0.109X1+0.16X3−0.09X12+0.015X22 −0.15X32−0.018X1X2−0.056X1X3+0.016X2X3(R2=0.837).Through factor analysis, the range of the optimal technical conditions of MLTCDFP for dwarf banana obtained. The result indicated the four indexes were affected significantly by the puffing temperature and vacuum drying temperature, and the interactions of the three factors did not affect the product obviously. The optimal technical parameters were as follows: puffing temperature 91~95°C, puffing pressure 0.11~0.19MPa, vacuum temperature 81~85°C.

Taking the mixing amount of diatomite calcined and vitrified micro bubbles(VMB) as the main changing parameters, experiment studies the properties of the vitrified micro bubbles recycled concrete blocks; then this paper adopts the finite element software ANSYS to analyze the square double skin steel stub short columns filled with recycled concrete under axial compression. According to the vertical stress distribution, strain and bearing capacity of the steel tube and core concrete, we make a contrastive axial compression properties analysis on the different hollow ratio χ(0,0.35)and the VMB content(0%,100%,130%) of square double skin steel stub short columns filled with recycled concrete. The result shows that: Compressive strength of VMB recycled concrete increases with the increase of diatomite calcined content, when mixing amount of diatomite calcined is 3%,the compressive strength of 130% VMB content test specimen can reach 32.45 MPa;Because of the inner circular steel tube is setted which strengthening component buckling capacity and improving the ductility of the component, stress distribution of hollow components is more balance than solid components, and their axial displacements decrease by 5.6% compared with the solid components when they reach ultimate bearing capacity; When the hollow ratio is same, ultimate bearing capacity of 130% VMB content test specimen compared with the content is 0% only reduces by about 3.5%; When the VMB content is same, ultimate bearing capacity of hollow components compared with solid components increases by about 2.5%, which reducing weight as well as improving the anti-seismic performance.

Influences of Si content on the tensile strength and electrical resistivity of hard drawn aluminium wire were studied in this paper. It showed that the electrical resistivity and tensile strength of the wire improved with the increase of Si content, and trace content of Si led to significant increase of the electrical resistivity. It was analyzed that Fe dissolved in the α(Al) matrix in form of supersaturated solid solution and its solid solubility was about 0.03%. Similarly Si dissolved in α(Al) in form of solid solution when its content was low, and with the content increased to certain content, redundant Si would precipitate as secondary phase transforming from AlFe binary compound to AlFeSi ternary intermetallic compound of α(Al12Fe3Si2) then β(Al9Fe2Si2) phase.

We study the properties of 2-SAT and Max-2-SAT problems by analyzing the node adding process on the factor graph. Two important structures, backbones and mutual-determinations are investigated, and the reduced solution graph for the expression of solution space of 2-SAT and Max-2-SAT is defined. For 2-SAT problem, a complete evolution process for the reduced graph is discussed and corresponding algorithm is obtained. For the Max-2-SAT problem, the analysis shows it’s backbone number can evolve in a much harder way by which it can increase or decrease. The research in this paper provide a new view point for understanding the solution space of 2-SAT and Max-2-SAT, which will be benefit for recognizing the complexity nature of the NP-hard problems.

A thorough understanding of properties of neutron stars requires both a reliable knowledge of the equation of state (EOS) of super-dense nuclear matter and the strong-field gravity theories simultaneously. To provide information that may help break this EOS-gravity degeneracy, we investigate effects of nuclear symmetry energy on the gravitational binding energy of neutron stars within GR and the scalar-tensor subset of alternative gravity models. We focus on effects of the slope L of nuclear symmetry energy at saturation density and the high-density behavior of nuclear symmetry energy. We find that the variation of either the density slope L or the high-density behavior of nuclear symmetry energy leads to large changes in the binding energy of neutron stars. The difference in predictions using the GR and the scalar-tensor theory appears only for massive neutron stars, and even then is significantly smaller than the difference resulting from variations in the symmetry energy.

It is established the ram biomass straw machine as the analysis object in this paper,the molding machine cones of stress in the forming process of the analysis of the system. We used pottery instead of Wear-resistant cast iron for improving the performance of forming sleeve. The structure of the forming sleeve was analyzed with the mechanical module of a soft named Pro/engineer in this paper. The result indicated that the program was feasible. With the sensitivity analysis we identified the suitable angle for the sleeve.

The paste fiber reinforced composite material (hereinafter referred to as FRP) U-shaped hoop of reinforced concrete beams interfacial debonding is an important reinforcement technology research. For the effective width of the CFRP U-shaped hoop reinforcement, it is still a lack of in-depth research, only relying on the test research huge workload, this article (ANSYS) and the numerical simulation in the whole process of the shear load release properties of finite element calculation software. According to the results of finite element analysis, the author studied the CFRP U-shaped hoop to increase the width of the shear capacity of reinforced concrete beams by the impact.