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Currently, China's new energy vehicle industry has entered a new stage of rapid development on a large scale. In order to ensure the advancement and innovation of the "Dual Credit Policy", the key assessment indicators such as the requirement ratio of NEV credits are in an urgent need to be made stricter. The strictness of the key assessment indicators is closely related to the development of China's energy-saving and new energy vehicle industry. However, currently, there is still a lack of systematic prediction methods for the mediumand long-term dual credit situation of passenger car enterprises in China. In this paper, a database for the prediction of the dual credit situation of passenger car enterprises is constructed using a combined "top-down" and "bottom-up" approach. Specifically, the NEV penetration rate in the industry is quantitatively evaluated using a multivariate regression model under the assumption of a discrete choice model, with the consideration of constraints such as resource endowment, charging infrastructure, and transformation costs of enterprises. The potential for fuel consumption reduction in conventional energy passenger cars of enterprises is determined using an optimal energy-saving technology choice model, which provides the annual decline in fuel consumption for enterprises. The calculation of the credits for NEV models and energy consumption is estimated using the rules of policy development and a simple conversion method. In order to make the prediction database more applicable to the real-world scenarios, it is also embedded with out-of-cycle energy-saving technologies, and research advancements in the latest policies and standards. This prediction database will greatly support the evaluation of the effectiveness of the "Dual Credit Policy" in the medium and long run, and assist enterprises in formulating credit compliance strategies.

In concern of the velocity distribution of the exhaust passage of 330MW turbine is not uniform, which results in higher the upper temperature difference of the condenser and higher exhaust pressure. It is introduced in this article that based on mathematical simulation, steam-equalizing equipment is augmented at the exhaust area of the condenser which makes the decrease in the steam resistance, much more uniform velocity distribution, and the increase of the heat transfer coefficient. By comparison of the condenser performance test before the amending and after, the result shows that after the amending, the upper temperature difference of the condenser and the exhaust pressure decreases dramatically.

Between the end of 1993 and the spring of 1994, about 5000 Mainland Chinese rejected refugee (MCR) claimants mobilized themselves in Canada to lobby the Canadian government to make a special policy for them so that they could be considered for landed immigration status. The mobilization, launched by the Mainland Chinese Refugee Organization (MCRO), won wide sympathy and support from the Chinese community and mainstream society in Canada. The MCRs stated their goals and demands through Chinese ethnic media and mainstream media, started a dialogue with the Canadian government and even staged a protest in front of the Parliament Buildings in Ottawa. On July 7,1994, the Minister of Citizenship and Immigration Canada issued a policy, known as the Deferred Removal Orders Class (DROC) program, designed for claimants in similar situations. In this paper, we examine the process of the movement, analyze its features, and discuss its effects on the Chinese diaspora community in Canada. The movement emerged out of the 'fear" of a group of Chinese claimants, caused by the threat of being deported from Canada. The success of the movement was based on the mobilization of ethnic and social resources by the MCRO.

Colleges and universities should fully understand the profound significance of ideological and political education, excavate the working position, innovate the working mechanism, and cultivate the firstclass talents with both virtue and ability and all-round development. With the development of social politics and economy, public emergencies occur from time to time, which often bring huge attention and radiation force. Make full use of the special situation of such incidents, and take the initiative to penetrate the ideological and political education of college students, which is not only an objective need for the prevention and control of emergencies, but also a favorable opportunity to accurately carry out the ideological and political education of college students.

Numerical methods provide a new way for solving complex geotechnical engineering problems. Firstly, we review the emergence and development of numerical methods, and introduce the basic principles of particle flow discrete element and its application in geotechnical engineering. After that, a method of servo combination of cylinder and loading plate is used, the numerical simulation of the three-dimensional rock in triaxial loading and unloading test is carried out by PFC3D software, and the loading and unloading mechanical characteristics of rock mass under the linear elastic contact constitutive model and parallel bonded contact constitutive model are studied respectively, and we obtain the triaxial loading and unloading stressstrain curves of rock under the elastic constitutive model and elastoplastic constitutive model. The residual strains and hysteresis phenomena of the rock under the two constitutive models are analysed, and the feasibility of the particle flow discrete element method in studying the mechanical characteristics of rocks is demonstrated.

To solve the problem of pollutant source localization in an indoor environment with dynamic mechanical ventilation better, this paper designed and built a 3D source localization system composed of three 3D source localization robots whose sensors can move under control in the height direction (0.5 m–1.5 m). Through adopting the 3D source localization system, we realized the application of the previously developed the improved whale optimization algorithm (IWOA) method in 3D source localization and proposed the 3D_IWOA method. To validate the feasibility of the 3D_IWOA method and compare the performance of the 3D_IWOA method and other three 3D source localization methods (the 3D_SPSO, 3D_WUⅡ, and 3D_IPSO methods), each method repeated 15 independent experiments in a Training-Center under the same conditions, respectively. For locating the periodic source at a height of 1.05 m in the downwind zone of this environment, the numbers of successful experiments of the 3D_SPSO, 3D_WUⅡ, 3D_IPSO, and 3D_IWOA methods were 5, 6, 11, and 13 (the success rates were 33.3%, 40.0%, 73.3%, and 86.7%), respectively. In addition, the means of total steps of the 3D_SPSO, 3D_WUⅡ, 3D_IPSO, and 3D_IWOA methods were 36.29 steps, 35.96 steps, 31.75 steps, and 38.15 steps, respectively.

The characteristics of four kinds of sludge obtained from different drinking water treatment plants in Australia and China were contrastively analyzed in this study using x-ray fluorescence, scanning electron microscopy, and x-ray diffraction. The conducted SAI test determined the pozzolanic reactivity of drinking water sludge ash (DWSA), which was derived from the grinding and calcination of drinking water treatment sludge (DWTS). The results indicated that the Al2O3 and SiO2 were the main components of DWTS, and the main crystalline minerals in DWTS were quartz, kaolinite, and aluminum sulfate hydroxide hydrate, which can be transformed into the reactive amorphous state after calcination at 800 ºC. Also, the SAI index of DWSA-derived mortar samples met the requirement, indicating a satisfying pozzolanic reactivity. Therefore, the DWTA was possible to be recycled as a pozzolan in cement-based materials.

Faced with the severe eco-environmental problems and economic slowdown, China started the exploration of public-private partnership mode on eco-environmental protection projects, aiming to solve the disbalance between environmental improvement and investment shortage. This study systematically analyzed the characteristics, policy and market reactions of eco-environmental protection public-private partnership projects since 2014. Till the end of 2018 in China, the number of eco-environmental protection public-private partnership projects was 2,914 and investment was 1.84 trillion RMB, accounting for 33.67% and 13.94% of the total, respectively. The peak year was in 2017, then the number of eco-environmental protection public-private partnership projects dropped significantly in 2018. It is estimated that from 2014 to 2018, the investment from eco-environmental protection public-private partnership projects in the implementation phase contributes to 3.2% of China's GDP, 0.2 % of economic growth. To some extent, it has accelerated the process of ecological and environmental governance in China, especially in the field of municipal environmental infrastructure construction and comprehensive environmental treatment. However, the expected effect of eco-environment improvement from eco-environmental protection public-private partnership projects is difficult to guarantee, with the absence of key mechanisms and policies.

In order to study the effect of foliar DA-6 on the phosphorus and potassium content of tomato seedlings under cadmium stress, the pot experiment was used to cultivate ‘Zhongza 9’ tomato in 50 μmol/L CdCl2•2.5H2O nutrient solution. The effects of DA-6 at different concentrations (0, 10, 20, 30 and 40 mg/L) on the phosphorus and potassium uptakes of tomato seedlings under cadmium stress were studied. The results showed that when the DA-6 concentration was 20 mg/L, the phosphorus content in the root and stem of tomato seedlings increased significantly, which were 41.5% and 12.8% higher than the control. In all treatments, when the DA-6 concentration was 10 mg/L, the potassium content of tomato seedling roots, stems and shoots increased significantly, which were 25.4%, 10.0%, and 5.8% higher than the control. In summary, the low-concentration DA-6 treatment had a certain effect on increasing the phosphorus and potassium content of tomato, and there were differences in the optimal concentration of phosphorus and potassium content.

Among the putative mechanisms, by which extremely low frequency magnetic field (ELF-MF) modify calcium metabolism is that of affecting Ca2+ fluxes across cell membrane or internal Ca2+ stores. To test this hypothesis, whether ELF MF can modulate Ca2+ fluxes of isolated skeletal muscle sarcoplasmic reticulum vesicles (SR) was investigated in the present study. The Ca2+ transport and Ca2+-Mg2+-ATPase activity were observed by means of dynamic Ca2+ dye spectrum, the function of ryanodine receptor (RyR1) was monitored by [3H]-ryanodine binding assay. The membrane fluidity of SR was measured by fluorescence polarization. 50 Hz 0.4 mT MF exposure for 30 min led to a significant decrease in the Ca2+ uptake initial rate and Ca2+-Mg2+-ATPase activity compared to sham exposed SR. These results strongly suggest that prevention of SR Ca2+ uptake by ELF MF exposure was due to the inhibition of Ca2+-Mg2+- ATPase activity, and the increase of SR Ca2+ release was due to the activation of RyR1.

The microstructure and mechanical properties of Ti-2Si-2Nb-2Fe-1Hf-1Ta-1W alloy with (TiHf)5Si3 particle-reinforcement and their underlying relations have been studied. Electron microscope observations and correlative statistical analysis have been made to analyze microstructure evolution with heat treatments. The (TiHf)5Si3 particles with 800 nm in diameter were found uniformly distributed at α/β boundaries and triple junctions and turned out to be stable even after heat treatments at high temperature for a long period, inhibiting grain growth and dislocation motion. In addition, multi-strengthening-mechanisms including particle strengthening, solid-solution strengthening, grain boundary strengthening and dislocation strengthening have been discussed.

In plant growth and stress tolerance, indole-3-acetic acid (IAA) plays an important role. In this research, the effects of spraying different concentration (0, 25, 50, 100 and 200 μmol/ L) of IAA on the antioxidant system in lettuce were investigated. The lettuce (Lactuca sativa) exposed to cadmium (Cd) exhibited the SOD, POD activities and MDA content obviously increased. Spraying exogenous IAA resulted that the CAT activity, soluble protein and proline content in shoots of lettuce increased compared with the Cd treatment alone, and MDA content with 50 μmol/L IAA was lowest. Therefore, spraying IAA effectively alleviated Cd toxicity and enhanced antioxidant system of lettuce, and the 100 μmol/L IAA was the optimal dose.

Indole-3-acetic acid (IAA) plays crucial roles in plant growth and stress tolerance. In present study, the effects of spraying different concentrations (0, 25, 50, 100 and 200 μmol/L) of IAA on the growth and cadmium (Cd) accumulation in lettuce (Lactuca sativa) were investigated. The lettuce exposed to Cd exhibited a substantial decline in growth, and the Cd content of them significantly increased. Spraying exogenous IAA resulted in alleviating the inhibitory of Cd toxicity to lettuce. The dry weight in shoots of lettuce increased by spraying with IAA compared with the Cd treatment alone, but the dry weight of roots had no significantly differences. Although exogenous IAA increased the root Cd content, it significantly reduced shoot Cd content, indicating its role in Cd transport. Therefore, spraying IAA effectively alleviated Cd toxicity and reduced Cd uptake in the edible parts of lettuce, and the 100 μmol/L IAA was the optimal dose.

In this paper, we give an elementary proof that the real roots nonexistence of nonlinear equation such as: xn+yn+zn=n,where n =1,2,3,(x,y,z)∈ℝ by contradiction. Thus, when n takes all positive integers between 4 and 1981, the value of function f= xn+yn+zn based on the exact solution of the above equations is still real. Finally, numerical experiments presents a set of approximate numerical solutions by using standard genetic algorithm(SGA), adaptive particle swarm optimization algorithm(APSO) and artificial fish swarm algorithm(AFSA).

The thermal deformation microstructure of continuous extrusion copper bus bar was observed and analyzed in the temperature range from 200°C to 700°C and at strain rate from 0.01s-1 to 10.0s-1 and at deformation amount from30% to 90% on Gleeble1500 test machine. The experiment results show that the higher the temperature, the lower the strain rate, the more dynamic recrystallization occurred. At the same strain rate, the copper bus bar changes from raw material of as-cast organization to recrystallization grain gradually as the deformation temperature and deformation degree increase, and the recrystallization grain size grows older with the rise of temperature. At the same deformation temperature, the temperature of recrystallization nucleation decreases while the strain rate increases. At low strain rate (0.01~1.0s-1), the dynamic recrystallization occurred at 500°C. While at high strain rate (10.0s-1), the recrystallization nucleation is advanced and it is already completed at 500°C. The Z parameters can be used to express the effect of deformation temperature and strain rate on the average grain size D, and the prediction model of the thermal deformation microstructure is obtained as follows: lnD=4.822-0.018lnZ

Phase change memory (PCM) is one of the most promising emerging non-volatile memory technologies. This paper simulates phase change memory devices (PCMDs) with careful attention to the scaling and its resulting impact on programming current during the switching operation, while Thomson heating within the phase change material and Peltier heating at the electrode interface are considered. The simulation results show that the device scaling has an influence on temperature distribution, volume of the molten region, heat diffusion and switching operation of PCMDs. The programming current decreases with smaller electrode size, greater thickness of phase change material and deeper isotropic scaling. The heat diffusion becomes more serious when the thickness of phase change materials decreases and the size of PCMD is isotropically scaled down. The scaling arguments also indicate that the impact of thermoelectric phenomena weakens with smaller dimensions due to the influence of programming current, heat diffusion and action area. This simulation provides useful insights to understand the switching operation of the PCMDs under the impact of thermoelectric effects. The process is instrumental for a complete understanding of device operation and hence provides valuable feedback for fine-tuning the device design so as to enhance its efficiency.

High-technology enterprises play the leader role in the regional economic progress, but nowadays technological resources have many problems such as division, separation and dispersing. It’s an urgent problem to be solved that how to evaluate input-output productivity of technological resources towards industries and regions scientifically and efficiently. Firstly the article analyzes the input-output efficiency status of technological resources at home and abroad. Then high-technology enterprises in 29 provinces, as the subject of evaluation, are analyzed for their operation efficiency by DEA. The article states the suggestions like balanced development among regions and reasonable structure of input and output by comparing the differences among regions. And the article estimates the technological resources configuration efficiency of 5 leader industries and explains the developmental characteristics and direction among industries. And on these bases the article conducts hypothesis testing for inner elements which might have an influence on the operational efficiency by Tobit model. Finally, the paper proposes many suggestions to the benefits of promoting the productivity of high-technology enterprise according to the comprehensive analysis.

Recently, more and more authors have been encouraged for collaboration because it often produces good results. However, the author collaboration network contains experts in various research directions within various fields, and it is difficult for individual authors to decide which authors are best suited to their expertise. This paper uses the relationships among authors to predict new relationships that may arise, recommending each author with the collaborators they may be interested in. The data source comes from 4-year data in DBLP from 2001 to 2004. After data cleaning, the training set and test set are constructed and then used BP neural network to build model. At the same time, this article compares the performance with Logistic Regression, SVM and Random Forest. The experiment shows that the BP neural network can get better result, and it is feasible to predict links in the author collaboration network.