As a new technology stack, blockchain applications are infiltrating into different financial scenarios, by exerting disruptive effects. At the same time, they are facing various challenges, from technical limitations, security and extensibility requirements, to policy restrictions. Rational thinking is essential, which involves understanding the essence of blockchain technologies, knowing how to apply technology to the appropriate scenario, recognizing major safety and scalability bottlenecks andbeing prepared for different levels of risks that may arise and solving the technological challengesand assisting to build the regulatory legal system. In launching a project of financial blockchain as a service platform, a three-step systematic solution is proposed. Firstly, usingthe model-driven architecture in system modeling and software architecture design, different perspectives of technologies and business processesare separated. Secondly, an open and win-win ecology is constructedby building an one-stop BaaS Platform system. Thirdly, multi-chain technologies are appliedto meet the different business requirements. This projectsuccessfully verifies the feasibility and reliability of cross-organization blockchain alliance in a real-world scenario of technology finance. Looking into the future, blockchain technologies can achieve more practical applications in more areas, for example, in financial sectors, digital assets, supply chains, shared economy and so on.

Taking Xiaomi's virtual community as the research object, combining Strong and Weak Ties Theory and Value Co-creation Theory, and using social network analysis and counterfactual research methods, an exploration is conducted on how the relationship between Xiaomi virtual community members affects value co-creation to reveal the specific value co-creation mechanism behind the Xiaomi virtual community, then on the rational value co-creation model of Internet companies. It is found that the central location of the nodes or communities in the network structure will positively influence the consumers' participation in value co-creation; however, the nodes at the central location do not play a decisive role. The value co-creation of nodes or communities in the network depends on the number of links of participation. The management significance of the research is to suggest that the same type of enterprises carry out value co-creation activities from the perspective of link relationship of system members, thereby enhancing their market competitiveness.

Disruptive technologyhas been promoted to an unprecedented strategic height because of its tremendous driving role in achieving innovation-driven development and building science and technology power. At present, the new R&D institution is one of the few professional organizations that focus on disruptive technology. The new R&D institutions play a leading role in innovation nowadays, and have the flexibility and efficiency that traditional R&D organizations lack. However, it is still in its infancy, and there are problems such as unclear functional orientation, imperfect mechanism, and limited development in the cultivation of disruptive technologies, which has led to the failure of new R&D institutions to effectively play the role of cultivation. Therefore, this study,while combining the development dilemma of the new R&D institutions,proposes policy recommendations such as improving the environment, exploring new support methods, attaching importance to basic research, establishing a cultivation system and improving review and entry and exit mechanismsfrom the macro level and the development of new R&D institutions, and it provides reference for new R&D institutions to better perform disruptive technological innovation functions.

In recent years, a large number of new research and development (R&D) institutions have emerged across the country. Due to the short development time, the management of new R&D institutions is still not perfect. It is proposed that a dynamic management can help solve existing management problems. After summarizing the specific problems of the management of new R&D institutions, the essential connotation of the dynamic management of new R&D institutions is defined and the necessity of implementing dynamic management analyzed. Then, based on the successful experience of advanced scientific research organizations at home and abroad, specific suggestions are put forward for constructing a dynamic management system based on the realistic situation of China's new research institutions.

Carbon emission from vehicle driving is calculated, including direct carbon emission by fuel consumption and indirect carbon emission by electric energy utilization. The carbon emission coefficient of various fuels is derived based on the mass balance method, the indirect CO₂ emission calculation method of electric vehicles is proposed based on the coal consumption of thermal power generation. The vehicle operation and energy consumption data are collected, the annual CO₂ emissions of all types of transportation and energy vehicles calculated, and the CO₂ emission reduction rate is calculated by replacing traditional petrol vehicles with electric vehicles. It is found that except for large diesel buses and medium and short distance intercity transport vehicles, electric vehicles have obvious carbon reduction effect in all fields. The carbon reduction rate of city distribution light duty vehicles is the highest, reaching 48.62%. It is predicted that the carbon emission reduction rate of electricity vehicles will be 7.07% in 2020 compared with 2016 after the reduction of thermal power share and coal consumption of thermal power generation.

Taking the relevant literatures included in the Web of science core set database as the research object, and using the scientific knowledge map and Citespace III tools, the research progress and statistical analysis, frontier hotspots and evolution trends are focused on. The research results show that:New energy vehicles are hot research fields in the current academic circles, but most of the researchers are fighting each other, with only a few small research groups formed; Chinese and American researchers are researching in this field and their mainstay accounts for more than 50% of academic achievements. In the future, scientific research cooperation and contacts should be further strengthened among countries; hybrid electric vehicles will be the main direction of future research in the field of new energy vehicles; in the future, renewable energy, charging stations and lithium-ion batteries will receive more research and investment. International research has experienced three stages of evolution:the germination period, the adjustment period and the explosive growth period, with different research priorities in each stage.

Energy and environmental issues have become social problems. A thermoelectric gas stove based on Seebeck effect is designed, which converts waste heat from the stove into electric energy. Combined with this design, the cold energy of gas is used to maintain the temperature difference between the hot and cold sides of the thermoelectric generator, and preheats the gas at the same time. Temperature curve of thermoelectric generator module, the power output characteristic and the improvement of thermal efficiency by preheating have been experimentally studied. The results show that the electric power supply is 2.9 W, and the average grill temperature rises by 31.9℃ after the gas is preheated.

Aiming at the redundant constraints of trajectory coincidence in the calculation of degree of freedom in planar mechanisms, substituting lower pair mechanism by higher pair mechanism method is proposed to remove them. The existence of redundant constraints of trajectory coincidence in revolute pair, prismatic pair and planar higher pair is analyzed. Taking elliptic mechanism and gear-linear mechanism as examples, the locations of redundant constraints of trajectory coincidence in mechanism pairs are analyzed, and the design of the mechanism scheme without the redundant constraints further studied. The results suggest that if there are redundant constraints of the trajectory coincidence in planar mechanism, the constraints do not exist on a fixed pair; the redundant constraint caused by adding a link with two revolute pairs at two points on two different links with fixed distance is an special case of the redundant constraints of the trajectory coincidence; without reducing the number of links, the redundant constraints of trajectory coincidence can be removed by changing the revolute pair into the planar higher pair.

Recognizing the maneuver types of airborne objects, such as fighters, is an important identification basis in figuring out their military intentions. To better identify the performance of maneuver types of enemy warfare aircraft and thus enhance our military's combat capability, the airborne high-speed moving targets such as the fighter's maneuver types are mainly studied. Addressing the low identification accuracy of traditional methods, recurrent neural networks are adopted to the problem of maneuver types recognition and identification. The main contribution of this study is the application of four kinds of recurrent neural networks architectures:Bi-LSTM (Bidirectional LSTM), LSTM, RNN and GRU. The experiment results show that the proposed RNN based method can recognize the target's turning maneuver type with efficiency, and the identification accuracy of Bi-LSTM is achieved by 98.85%.

High Efficiency Video Coding (HEVC) consumes most of the coding time in inter-prediction. In order to shorten the encoding time,a fast inter-prediction mode selection algorithm is proposed based on CU's motion characteristics. Firstly, the inter-prediction mode is classified by using the motion characteristics defined in this study. Secondly, the CU performs inter-prediction of size N×N, and determines the current CU motion characteristics according to the relationship of the sub-PU (Prediction Unit) motion vectors. At last, the traversal range of inter-prediction mode is determined by the current CU motion characteristics. The experimental results demonstrate that compared with HM16.15, the proposed algorithm reduces by 31.6% the coding time in low delay configuration and by 27.4% in random access configuration, while the coding performance of the encoder is substantially unaffected.

The weak well-posedness for the generalized Camassa-Holm equation with initial data u₀ ∈ H¹(R)∩W^1,∞(R) is mainly considered. First, by introducing the characteristics, the generalized Camassa-Holm equation is transformed into an ODE(Ordinary Differential Equation)-similar equation. Then applying the ODE theory, the local existence and uniqueness of the solution to the new equation are proved. Finally, by using the relationship between the new equation and the original equation, the local existence and uniqueness of the solution are investigated, deriving the conclusion of the weak continuous dependence on initial data for the original equation.

Support vector machines (SVMs) show excellent effectiveness and feasibility in solving approximation problems. Solving differential equations is a hot topic studied by many scholars, in which the solutions of discrete differential equations and their inverse problems are of great significance. A method of solving discrete linear differential equations and their inverse problems is proposed by combining support vector machines, Tikhonov regularization and the theory of reproducing kernels. This method is suitable for solving general discrete linear differential equations and their inverse problems. This method can obtain sparse solutions with analytical expressions, which is convenient for subsequent applications. Experiments show that the proposed method is effective.

During the temperature change of reflow soldering, warpage deformation occurs in the plastic ball grid array package due to the mismatch of thermal expansion coefficients of different materials. A finite element method is used to simulate the warpage deformation behavior and stress strain of PBGA package, and the simulation results of warpage deformation are tested by shadow moiré method. The results show that the simulated values of the PBGA package warpage are very close to the measured values, which are respectively 35.9 μm and 36 μm. During the simulated reflow, the measured values of the warpage are consistent with the simulated values. During the reflow, the maximum thermal stress strain of the PBGA package is at the position of the substrate near the bonding layer, which is the biggest risk point for the thermal reliability of the PBGA package. The amount of warpage at the corners of the PBGA package is the largest, so the solder joints at the corners are also most prone to open-circuit, solder joint and other assembly defects.

At the present stage, a large quantity of waste soil is produced in the foundation pit engineering. In order to realize the resource utilization of solid waste, silt waste soil is taken as a research object, and different compactness set according to the compaction characteristics measured by the compaction test. The unconfined compressive strength test and the water stability test are conducted to investigate the feasibility of using silt as a filling material after cement solidification. The results show that the maximum dry density decreases after adding cement to the waste silt, but the optimal moisture content is opposite. The strength of cement stabilized waste silt increases with the increase of cement content and compaction degree. When the cement content is low (5%), the cement stabilized waste silt is more sensitive to the decrease of compaction degree and immersion condition, and decreases obviously. The increase of compaction degree obviously improves the water stability, but with the increase of cement content and age, the effect of compactness on water stability tends to be smooth or even weakened.