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The mindset and motivation that teachers demonstrate are likely to influence their students’ mindset and motivation. While mindset and motivation of in-service teachers have been investigated thoroughly, the same cannot be said of pre-service teachers. Pre-service teachers’ mindset and motivation are likely developed during in-class experiences or practicum, the latter seen as the defining experience of pre-service teachers’ preparation. Understanding the changes that pre-service teachers undergo during their practicum experiences in terms of theories of intelligence, teaching efficacy, resilience, and grit is therefore crucial. This study used these constructs as examples of mindsets, self-beliefs, capacities, and personality traits. A cross-sectional design compared American and Canadian pre-practicum versus post-practicum pre-service teachers’ growth mindset and motivation and illustrated that similar effects occur across national contexts through a primarily quantitative questionnaire with open-ended questions. Triangulated statistical and thematic analyses illustrated that post-practicum students were less idealistic about the incremental nature of intelligence and reported higher resilience and a more pragmatic approach to teaching than their pre-practicum peers. The study’s findings extended other studies’ findings illustrating that changes occur specifically in teacher mindset as well as their strategies. Teacher education programs informed by these specific changes can capitalize on the pragmatic shift of teachers’ strategy selection while also coaching them to retain an incremental view of intelligence for their students’ benefit.

In this paper, the numerical study focuses on the stress field of the knee meniscus in the two gaits of the jumping motion, and the knee injury and its knee protection effect are studied based on the stress field distribution characteristics of the knee meniscus. The jumping gait simulation was carried out by using a more detailed healthy knee model including bone, articular cartilage, meniscus, ligaments and peripheral soft tissues constructed by combining CT and MRI tomography, and the peak stress and its distribution area were analyzed based on the stress field characteristics of the meniscus, and the knee meniscus and its injury and protection under different knee pads were discussed. The results showed that the anterior angle of the meniscus on the medial knee joint was an area prone to injury in the take-off and landing gait. Under the knee pads, the peak stress of the meniscus decreases, and its distribution area gradually shifts from the anterior angle to the middle, and the functional knee pads with the optimized force load significantly alleviate the stress concentration of the meniscus. Therefore, the numerical study of the stress field of the knee meniscus provides theoretical support and optimization guidance for the design of functional knee pads.

Sudden ground pressure disasters caused by deep mining such as rock burst and cave-in are major hidden dangers affecting safety production underground mine. The safe and stable operation of ground pressure safety monitoring platform is of great significance for mine safety production. However, many small and medium-sized mining enterprises make slow progress in the construction of the online monitoring platform for ground pressure safety due to the limitations of enterprise scale, capital capacity and other factors. With the development of The Times, SaaS model (software as a service model) develops rapidly with the advantages of Internet, multiple leasing, service and scalability. Through SaaS model, it effectively solves the problem of building a low-cost and high-reliability online ground pressure monitoring platform for Chinese small and medium-sized mining enterprises.

With the gradual deepening of mining depth, sudden ground pressure disasters such as rock burst and collapse caused by deep high stress and high rock pressure are major hidden dangers affecting mine safety production. Microseismic monitoring technology has been widely applied in the field of mine ground pressure disaster warning. The existing microseismic monitoring system has some problems, such as inaccurate automatic recognition and classification of waveform signals, low quality and low efficiency of manual processing. In this paper, the automatic classification of vibration signals in the process of mining is studied, and the automatic classification results are uploaded to the cloud service platform in real time, which solves the technical bottleneck of the existing microseismic monitoring system. Meanwhile, the real-time monitoring of mine ground pressure safety is guaranteed based on the cloud service platform of microseismic monitoring.

This paper takes the manufacturing industry in the three northeastern provinces as the research object. It establishes an index system based on the connotation of high-quality development of the manufacturing industry from six aspects: development efficiency, green development, innovation-driven, quality brand, people's livelihood sharing, and openness, and measures it used the entropy-weight-TOPSIS method. The results show that, on the whole, the manufacturing industry in Northeast China has been steadily improving, and there are differences in the level of high-quality development of the manufacturing industry among the three provinces in Northeast China, showing that Liaoning is the highest, Jilin the second highest and Heilongjiang the lowest. From each subdivision dimension, there are also differences in the indicators of high-quality development of the manufacturing industry in the three provinces.

Based on the panel data of 30 provinces from 2010 to 2020, this paper explores the energy-saving and emission reduction effects and action paths of green finance development from the perspective of energy efficiency and energy consumption structure . The results show that green finance has a significant effect on energy-saving and emission reduction. Green finance not only effectively promotes the improvement of energy efficiency, but also promotes the optimization and upgrading of energy consumption structure; Further analysis shows that there are regional differences in the energy efficiency and energy consumption structure of green finance in terms of energy-saving and emission reduction. The potential of green finance in energysaving and emission reduction in the central and western regions is significantly greater than that in the eastern regions; In addition, green finance also has a heterogeneous impact on energy efficiency and energy consumption structure at different quantile levels. At the level of energy efficiency, the dividend period of green finance's energy-saving and emission reduction effect is relatively short, and the potential of green finance's energy-saving and emission reduction effect in adjusting the energy consumption structure is huge. The mechanism analysis found that green technology innovation and industrial structure optimization played a partial intermediary role in the impact of green finance on energy-saving and emission reduction,and green finance has a greater effect on energy conservation and emission reduction at the level of energy consumption structure through industrial structure optimization.

At present, the second-class oil layer has become the main polymer flooding replacement layer in the Lamadian Oilfield. The second-class oil layer has low permeability, low connectivity and serious heterogeneity. The results of the polymer flooding laboratory experiments are quite different from the field flooding effect. Polysystem design provides better guidance. Based on theoretical and field data analysis, this paper adopts constant pressure injection method. After the experimental injection fluid is seepage through a 1.5m long core, the core flooding experiment is carried out, that is, the problem of excessive pressure rise in polymer flooding is controlled, so that the injection fluid is closer to the oil layer. state of the injected system. The constant pressure polymer flooding experiment was used to establish the matching relationship between the polymer system and oil layers with different permeability, which effectively guided the design of the on-site polymer injection system. At present, indoor polymer flooding core experiments generally adopt the constant speed mode, without controlling the injection pressure. However, due to the influence of permeability, connectivity and other factors, the injection pressure increases greatly, and the reservoir water absorption is difficult, which leads to a great difference between the experimental results and the field effect. In order to make the indoor core experiment closer to the actual field injection state and better guide the design of polymer flooding scheme, it is urgent to optimize and improve the experimental method.

The primary purpose of maritime delimitation is to ensure the maximum internal waters area obtained. In order to grantee the maximum internal waters area obtained with the selected base point, the idea and method of optimal selection of the territorial sea base points with the convex hull (minimum convex hull) construction technology is proposed. The ideal base points are selected by constructing convex hull for all alternative base points, which makes it possible to realize the automatic selection of base points under the principle of the maximum internal waters area.

The method for calculation of geodetic problem on earth ellipsoid surface is the basic premise for the realization of high-precision marine delimitation technology. Based on the analysis of the construction principle of the existing solution of geodetic problem method, the algorithm for direct geodetic problem solution(DGPS) based on nested coefficient method and Bessel’s inverse geodetic problem solution(IGPS), which are suitable for various distance solutions, are optimized. Then, the experimental verification scheme of the solution of geodetic problem is designed. Finally, the crossing and reducing accuracy of different calculation examples are verified by different geodetic problem solution methods, and the experiment shows that: the verified accuracy of point-position plotting, distance calculation and azimuth calculation meet the requirements of the indexes of high-precision marine delimitation.

For increasing understanding of fundamental hypersonic phenomena, the flight test program, named MF-1, is to gather fundamental scientific and engineering data on the physics and technologies critical to future operational hypersonic flight with low-cost flight test platform, which is built on the retrofitted rockets. The MF-1 program is a hypersonic flight test program executed by China Aerodynamic Research and Development Center (CARDC). The MF-1 flight flew in December 2015. The flight focuses primarily on integration of instrumentation on the test vehicle, with application to boundary layer transition and shock interaction experiments. The MF-1 payload consists of a blunted 7°half angle cone, a cylinder and 33° flare configuration. The payload was boosted to Mach 5.32 utilizing a solid-rocket booster without control for the whole flight. The flight was fully successful, and measured transition under supersonic and hypersonic conditions. The heat flux data were given by the three-dimensional thermal identification method to discriminate transition zone. The preliminary analysis shows that the real-time flight data obtained by MF-1 are reliable and can be used to validate the transition predicting model and software. The results show that the existing model is able to predict the transition location of cone at a small angle-of-attack for supersonic or hypersonic flow. This paper describes the MF-1 mission and some general conclusions derived from the experiment.

A simplified mathematical model for modulation and demodulation of a single channel monopulse (SCM) system is proposed, which is based on a ship-borne pulse radar S-band guided receiver. Using the proposed mathematical model, the modulation and demodulation of single-channel and multi-channel signals were simulated respectively, and the factors influencing the modulation and demodulation of the SCM system were analysed.

In the process of air combat implementation, the real-time command and guidance of air pilot is the key element of air combat irreplaceable. In this paper, a multi-aircraft air combat command and guidance target allocation model is established based on the actual air combat situation. The unbalanced target allocation problem of multi-aircraft air combat command and guidance is studied by combining Hungarian algorithm and evolutionary Hungarian algorithm. Finally, two cases of increasing aircraft number and decreasing aircraft number are simulated and studied. Simulation results show that the method can shorten the computation time and ensure the overall command and guidance advantages of the target allocation scheme effectively.

This paper presents the experimental and numerical results of the effect process parameters on ovality in cross wedge rolling (CWR) for hollow engine valve without mandrel. Numerical simulation model for ovality was established by means of the rigid-plastic finite element modeling (FEM) method for hollow engine valve. The experiments and numerical analyses suggest that the following parameters represent the best conditions for CWR of hollow engine valve: 30°-34° for the forming angle(α), 5°-7° for the stretching angle(β), 0.2-0.3mm for the mold void width(L), and 65%-70% for the area reduction(Ψ).

In order to improve the drawbacks of over-fitting and easily get stuck into local extremes of BACK propagation Neural Network, a new method of combination of wavelet transform and PSO-SVM (Particle Swarm Optimization- Support Vector Machine) power load forecasting model is proposed. By employing wave-let transform, the authors decompose the time sequences of power load into high-frequency and low-frequency parts, namely the low-frequency part forecast with this model and the high-frequency part forecast with weighted average method. With PSO, which is a heuristic bionic optimization algorithm, the authors figure out the prefer-able parameters of SVM, and the model proposed in this paper is tested to be more accurately to forecast the 24h power load than BP model.