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The success and impact of Disneyland, a trailblazing theme park created by Walt Disney in 1955, has been a subject of great interest and study in the field of marketing and entertainment. By identifying successful marketing practices and suggesting strategic recommendations, this essay can contribute to Disneyland’s future growth and impact in an ever-changing entertainment landscape. The essay began with an introduction to Disneyland’s historical background and significance in the theme park industry. It highlighted the park’s role in popular culture, local employment opportunities, and economic benefits. The essay then focused on a comprehensive analysis of Disneyland’s marketing strategies using the 4P model: product, price, place, and promotion. It examined how Disneyland created and delivered magical experiences, combined value-based and competitive pricing strategies, utilized physical and digital distribution channels, and employed various advertising and promotional methods. The essay concluded with strategic suggestions for Disneyland’s future development, emphasizing content innovation, theme park advancements, global expansion, and brand collaborations. The suggestions aim to solidify Disneyland’s position as a global leader in the entertainment industry, offering diverse, innovative, and captivating experiences. Overall, this essay provided insights into the marketing strategies behind Disneyland’s success and offered recommendations for its continued growth and impact.

Aiming at the problems of inaccurate estimation results, complicated matching of feature information in different views and poor robustness of the network model in complex scenes, a multi-view multi-person 3D human pose estimation model with multi-scale feature orthogonal projection is proposed, which includes a multi-scale orthogonal projection fusion network and an orthogonal feature ascending dimension network. Firstly, the multi-scale orthogonal projection fusion network performs orthogonal projection of features at multiple scales, using the residual structure to fuse features in the same plane separately, simplifying the feature learning difficulty and reducing the feature loss due to projection. Then, it is fed into the orthogonal feature ascending dimension network to reconstruct higher level 3D features using trilinear interpolation and deconvolution to improve the expressiveness of the model, and finally fed to the backbone network to supplement the information of the high-dimensional features, and the network regresses according to the different stages of the task to obtain the 3D human pose. The experimental results show that the Percentage of 3D Correct Parts is improved on the Campus and Shelf datasets, and the Mean Per Joint Position Error is reduced on the CMU Panoptic dataset and the average accuracy is improved at a smaller threshold compared to the previous method. The prediction results are also better than the previous method by reducing the perspective input on the trained model. The proposed method not only effectively estimates the 3D human pose, but also improves the prediction accuracy and enhances the robustness of the network model.

This research paper examines the manifestations, causes, and guidance strategies of negative educational methods in family education. Through a comprehensive review of existing literature and empirical studies, the study identifies various negative educational methods commonly observed in family settings. These methods include but are not limited to physical punishment, emotional manipulation, neglect, and overprotection. The paper explores the underlying causes of these negative educational methods, such as parental stress, lack of awareness, cultural influences, and intergenerational transmission of parenting practices. Furthermore, the study proposes effective guidance strategies to address and mitigate the impact of these harmful practices. Recommendations include parent education programs, counseling services, and fostering open communication within the family. By understanding the manifestations, causes, and implementing appropriate guidance strategies, families can create a nurturing and supportive environment conducive to positive child development.

This paper delves into the application and practice of personalized education based on big data analysis in the teaching of Java object-oriented programming. By constructing a big data analysis model, we have achieved precise collection and processing of student learning data, thereby tailoring personalized learning paths and resource recommendations for each student. The aim of this paper is to analyze the implementation effects of this innovative educational model in the teaching of Java object-oriented programming, with the hope of providing valuable insights for improving teaching quality and student learning outcomes. Furthermore, we also explore the advantages of applying Java object-oriented programming in personalized education. The object-oriented nature of Java makes program design more aligned with human thinking patterns, aiding in the development of students' logical thinking and innovative capabilities. Additionally, the widespread use of the Java language also offers expansive opportunities for students' future career development.

In this work, a dynamic structured light 3D reconstruction method adapted to random phase shift step size is proposed for the problem of dynamic workpiece 3D reconstruction in industrial manufacturing scenes. The method firstly utilizes a structured light sinusoidal grating pattern to match the relative phase shift of the workpieces moving along the perpendicular direction of the stripes on the conveyor belt. Secondly, in order to solve the problem of non-uniform phase shift step length due to external vibration, electromagnetic radiation and other disturbing factors of the conveyor belt and other mechanical devices, the method proposes a dynamic structured light 3D reconstruction model based on RPSNet, which is based on the CycleGAN network model, and uses the AIR2U-net model proposed in this paper as the generator, and the multilayer convolutional neural network CNN as the discriminator to realize the grating map. discriminator to realize the conversion of raster map to depth map. Finally, for the problem that the network model needs a large amount of data for training and it is difficult to collect data in the actual industrial scene, this paper uses the Thing10k dataset, and the dataset made by Blender simulation software for model training. Finally, a higher quality 3D reconstruction of the workpiece is realized.

This study investigates the impact of APOE alleles and latent Herpes Simplex Type 1 virus (HSV-1) activation on Alzheimer’s disease (AD) progression using the 5xFAD mouse model. APOE ε4 is recognized as a substantial genetic risk factor for sporadic AD, while HSV-1 has been linked to AD pathogenesis through inflammation and plaque formation. The experimental approach involves the introduction of human neurons carrying latent HSV-1 into 5xFAD mice harboring various APOE alleles (APOE2, APOE3, APOE4), along with stress induction and pharmacological interventions. The study aims to elucidate the combined impact of these variables on AD progression and the formation of Aβ plaques. Our anticipated results suggest that APOE ε4 may accelerate AD development, especially in conjunction with HSV-1 activation, while APOE ε2 may exert a mitigating influence. These findings have the potential to advance our understanding of the intricate mechanisms underpinning AD and provide insights into potential therapeutic approaches. Further exploration of these interactions could offer critical insights into the pursuit of effective AD treatments.

Surface defects have a positive effect on the improvement of electrocatalytic performance due to the ability to introduce half-metallicity into selected semiconductors. Herein, we prepare a defect-rich Ni-doped Mn3O4 (Ni-Mn3O4) material by a simple hydrothermal and impregnation method. Ni-Mn3O4 exhibits a unique morphology consisting of ultrathin nanoarrays and nanoflowers embellished at the top, which endows the material with large specific surface area and reactive sites and contributes to enhanced oxygen evolution reaction (OER). The obtained Ni-Mn3O4 shows improved OER activity with the overpotential of 290 mV at the current density of 20 mA cm-2. This remarkable OER performance can be attributed to the multi-dimensional interface and ultra-high density defects, leading to the formation of abundant active sites, thereby inducing half-metallicity properties and suitable intermediate adsorption energies. This work is expected to provide reference and guidance for the design and synthesis of high-performance electrocatalysts.

With the in-depth development of digital technologies such as informatization, networking, big data, intelligence and intelligence, the digital management of energy consumption in the park has become the development direction of intelligent parks in the future. This paper analyzes the energy consumption and digital service demand of enterprises in the park, analyzes and prospects the business prospect of energy consumption digital service in the park, and puts forward suggestions from the perspective of market operation mode and technology, in order to provide reference for the development of energy consumption digital service in the park in the future.

The transformation of medium and low yield grain fields is an important part of cultivated land regulation, which is basically consistent with the requirements of high standard farmland construction. The cultivated land consolidation has experienced from overcoming the single limiting factor to exploring the integrated factors combining the adjustment of ownership and then to the ecological landscape construction target, which has put forward different requirements on the engineering construction, land capacity improvement and management organization innovation integration of cultivated land consolidation. At present, the concrete measures of land leveling, irrigation and drainage, field road and forest protection network have been studied in the field engineering construction of medium and low yield grain fields in Shaanxi province. In the aspect of soil fertility improvement, effective measures such as ditch treatment, soil fertility improvement, soil layer recombination and crop optimization were studied. In the aspect of management organization innovation, the research of property right model combining different yield reform mode and different cultivated land consolidation mode has promoted the optimization and transformation of medium and low yield grain fields in different degrees.

Under the educational background of “Ideological and Political Theories Teaching in All Courses” in colleges and universities across the country, how to effectively realize the multi-dimensional integration of ideological and political education into English major courses has become an important topic for foreign language teachers to think and explore. In this paper, based on the core course of English major, “English Viewing, Listening and Speaking”, the goal of ideological and political education is clarified, the teaching content is reconstructed, the teaching design is optimized, the assessment and evaluation are innovated, so a teaching model that integrates the multi-dimensional ideological and political education into all aspects of the course teaching is constructed. While learning professional knowledge and improving language ability, students should enhance their cultural confidence and national feelings, expand their international vision, shoulder their social responsibility of “Share China stories and spread China voice by good communications”. This study will help the ideological and political education model of all-round education and provide reference for the construction and improvement of the ideological and political theories teaching in English major courses.

With the advent of the information age, online education has developed rapidly. The teaching reform of translation online course for business English majors in application-oriented universities is an important means to cultivate high-quality application-oriented talents. In view of this need, this study has explored the teaching reform of translation online course for business English majors in application-oriented universities from the aspects of curriculum orientation and planning, teacher team construction, curriculum resources, teaching and management as well as teaching effect. Therefore, this study aims to improve the training quality of application-oriented talents, innovate the talent training mode and form teaching characteristics.

The outbreak of Newcastle Pneumonia is characterised by its pandemic nature and uncertainty, which makes the prevention, control and management of the epidemic much more difficult. The epidemic prevention and control model of “community + volunteers” was implemented in the community to effectively improve the efficiency of epidemic prevention and control. This model is community-led and identifies the needs of the community: social organisations are the main actors, organising volunteers and integrating public resources to provide efficient and low-cost epidemic prevention and control services for the community. The paper analyses the effectiveness and problems of the “community + volunteers” epidemic prevention and control practice in community H in Bayannur, summarises the experience and makes feasible recommendations to improve community epidemic prevention and control governance.

Soil barrenness is an important type of land degradation, which seriously restricts the food security and sustainable development of agriculture in my country. This paper analyzes the status quo of soil barrenness, its causes and development trends, barrenness treatment measures, and research directions of soil barrenness, in order to serve as a reference for the research and development of soil barrenness.

Museum is the Treasure House of human history and culture, which bears the responsibility of inheriting history and spreading culture. The Henan Museum is also attractive because of its rich and profound traditional culture. In order to make the world fully understand Henan culture, it is necessary to actively explore scientific and reasonable English translation strategies based on Henan Museum text features and incorporating Trans-cultural diffusion features. In the context of intelligent translation scenarios, the advantages of computer-aided translation are becoming more and more obvious, and the full play of Computer-assisted translation will provide effective support for improving the quality of Henan Museum translation.

After years of development, solar photovoltaic power stations have become increasingly mature and have made great breakthroughs. Building solar photovoltaic power stations in hydropower station reservoirs can not only use the rich sunlight on the water surface of the reservoir, but also make full use of the load regulation speed. The problem of unstable load of solar photovoltaic power plants realizes “water and light complementation” and provides high-quality, reliable and clean energy for the power grid.

Ideological and political education is a key course to develop students and realize the goal of all-round education. It is also an important carrier to carry out the task of "establishing morality and cultivating people". Facing the new situation of wisdom education, in order to deepen students' ideological understanding and cultivate students' good quality, it is necessary to make full use of computer-aided advantages and pay attention to students' ideological and political learning experience, stimulate students to participate in the internal motivation of ideological and political learning, to promote students out of the classroom, real integration into society. By analyzing the practical background of computer-aided ideological and political education for college students, this paper puts forward a computer-aided ideological and political education program for college students.

Azole fungicides are widely used to control diseases and insect pests of vegetables, fruits and flowers because of their good antibacterial effect and regulating plant growth. However, their extensive use inevitably enters the water environment with rainfall and surface runoff, which leads to potential harm to aquatic organisms. At present, the research on the biological toxicity of azole fungicides mainly focuses on single azole compounds, such as Paclobutrazol, hexaconazole, propiconazole and Difenoconazole. However, the systematic study on the toxic effects of multi-component mixtures of azole fungicides is still very lacking, and it is unable to accurately assess the ecological risk. Therefore, in this paper, five common azole fungicides (imidazole, tebuconazole, triadimefon, tricyclazole and hymexazol) in the environment were taken as target pollutants. Scenedesmus obliquus was used as the toxicity indicator. The mixture system was designed by the equal effect concentration ratio method and linear average ray method. Study the 96h toxicity and interaction of Scenedesmus obliquus under combined stress of azole fungicides. The main research results are as follows:The 96 h toxicity test of five typical azole fungicides to Scenedesmus obliquus was determined by microplate toxicity analysis method. Fitting with Weibull function and taking EC50 as the criterion,the results show that the single toxicity order of the five tested fungicides was:tebuconazole > Triadimefon > oxacillin > Tricyclazole > imidazole.

In our previous study, a prediction method of indoor temperature distribution based on the Contribution Ratio of Indoor Climate (CRI) and finite air temperature collected by one mobile sensor has been proposed. However, the CRI fixed value hypothesis limits its application in practical situations. In this regard, this study proposes to introduce interpolation POD (proper orthogonal decomposition) method to obtain the dynamic distribution of CRI, so as to improve the prediction accuracy. As a case study, in a simplified CFD model with identified heat source conditions, based on the interpolation POD method, the reconstruction of each sub temperature field dominated by only one heat source under any air supply parameters was realized, and thus its CRI distribution could be calculated. Then, by combining the finite air temperature collected by the mobile sensor, the indoor temperature distribution was predicted. The results showed that the introduction of interpolation POD method is effective, which breaks the application limitations of CRI fixed value hypothesis on the proposed method, and further promotes its development potential in the direction of "real-time prediction and dynamic regulation" in practical application.

The establishment of an integrated fast charging station for photovoltaic storage and charging is an effective solution to fast charging of electric vehicles. For the li-battery/Super capacitor hybrid energy storage system, it is an effective method to reduce the cost of the system by extending the life of the li-batteries. This paper establishes the li-battery cycle life estimation model with irregular discharge and proposes an optimal energy allocation algorithm of li-battery/super capacitor hybrid energy storage system is proposed based on dynamic programming algorithm. Simulation results are presented to validate the theoretical analysis.

At present, UHV surge arresters have a large number of sections and complex structures. The existing live detection and online monitoring technologies can no longer effectively determine the problem of deterioration of the internal resistance of the arrester. This paper studies the structure, power supply, temperature and humidity measurement and wireless transmission methods of measuring probes that can be placed in the arrester for a long time. By measuring the temperature, humidity and current data of each node, and sending it to the background wirelessly, it is more effective to judge the UHV Internal defects of the arrester. The method of internally measuring the temperature and humidity of the arrester node can improve the diagnostic ability of the internal defect and defect location of the UHV arrester, and realize the effective identification and location of the internal fault of the UHV arrester.

This study uses Google chrome as a tool, combined with advanced search styles to retrieve related website links, and uses link analysis methods to comprehensively analyze the influence of 14 prefecture-level municipal government portals in Guangxi Zhuang Autonomous Region. At the same time, the analysis results are sorted by using the gray correlation analysis method through EXCEL. The evaluation results show that the relevance of the government portals of prefecture-level cities in Guangxi is generally between 0.7 and 0.9, and improvement strategies are proposed on this basis.

In recent years, ultra-high-intensity rainfall at home and abroad has caused frequent urban waterlogging disasters, posing a severe threat to people’s lives, property and city’s safety. Based on the satellite image data of Shanghai Waigaoqiao Free Trade Zone in different periods and the Storm Water Management Model (SWMM), this paper establishes a model of heavy rainfall under the underlying surface of a complex city, and analyses topographic features, different land use types, rainfall infiltration intensity and the characteristics of the drainage pipe network. The rainwater accumulation under different rainstorms and urbanization levels is simulated and analysed. The research results show that urban rainstorm accumulation is closely related to land use changes. With the increase of surface impermeability and rainfall intensity, the risk of waterlogging in the study area tends to increase: From 1994 to 2019, the construction area has increased from 2.5096km2 to 5.8662km2 in the study area. Compared with 1994, under the same rainfall conditions, the simulated flooding node and runoff coefficient in 2019 both increased significantly.

Autonomous lane changing, as a key module to realize high-level automatic driving, has important practical significance for improving the driving safety, comfort and commuting efficiency of vehicles. Traditional controllers have disadvantages such as weak scene adaptability and difficulty in balancing multi-objective optimization. In this paper, combined with the excellent self-learning ability of reinforcement learning, an interactive model predictive control algorithm is designed to realize the tracking control of the lane change trajectory. At the same time, two typical scenarios are verified by PreScan and Simulink, and the results show that the control algorithm can significantly improve the tracking accuracy and stability of the lane change trajectory.

Feature matching is very important in image stitching. RANSAC algorithm is a representative algorithm for feature matching. However, RANSAC still has many shortcomings such as a large number of iterations, a large computational complexity and cannot completely eliminate mismatches. To address above problem, in this paper, we propose a novel method termed constant elasticity of substitution function based RANSAC (CES-RANSAC) for image stitching. Specifically, CES-RANSAC improves the RANSAC algorithm by constructing a utility function, optimizing the boundary of the utility function, calculating Cobb-Douglas coefficients. It also introduces Lindahl equilibrium to derive the return value t to help eliminate mismatches. Experiments show that compared with the traditional RANSAC algorithm, CES-RANSAC has improved matching accuracy and increased computational efficiency, which further improves the efficiency of the image matching algorithm.

As a major national strategy, ecological protection and high-quality development of the Yellow River Basin aims to promote high-quality development in the areas of economy, ecology, society, people’s livelihood, and tourism. Taking 9 cities in the Shandong section of the Yellow River Basin as the main research area, the entropy Topsis method is used to analyze and evaluate the tourism development potential. The evaluation index system is constructed from the four subsystems of tourism economic potential, tourism service potential, tourism protection potential, and tourism environmental potential. The results of the study found that the comprehensive score of tourism development potential of the study area is between 0.2734 and 0.7054, with Ji’nan having the highest comprehensive score. At the same time, there is an imbalance in the development level of various subsystems within the region. On this basis, high-quality development countermeasures are proposed for the tourism development.

As the whole society attaches great importance to the safety of food and medicine, and hydrogen fuel cell and new energy vehicle industry rises suddenly, people’s requirements for clean compressed air is more and more urgent. Water-lubricated single screw compressor is an ideal choice for providing clean air because of the advantages of balanced force, a long service life, and high efficiency, and the influencing factors of its performance have received more and more attention. This study established a mathematical model of the working process of a water-lubricated single-screw air compressor to study the relationship between its performance and the water injection atomization. The model considered leakage and heat transfer between water and moist air and analysed the influences of droplet diameter and rotation speed on compressor performance. The results showed that water injection atomization can effectively reduce the discharge temperature, make the compression process of the compressor tend to isothermal compression. Under rated conditions, a reduction in the droplet diameter from 0.25 mm to 0.15 mm reduced the discharge temperature of the compressor, improved the volume efficiency, and improved the adiabatic efficiency by 31 K, 2.6%, and 8.2%, respectively.

In order to study the influence of far-field long-period seismic waves on high-pier and long-span continuous beam bridge, taking a high-pier and long-span continuous beam bridge with span arrangement of (95+170+95) m as an example, a numerical analysis model is established based on finite element software. According to the established wave selection criterion, 10 far-field long-period seismic records and 10 ordinary seismic records are selected from the strong earthquake record database. Using nonlinear time history analysis method, the difference of seismic response of long-span continuous beam bridge with isolated high piers under the action of ordinary ground motion and far-field long-period ground motion is studied. The results show that compared with the ordinary ground motion, the seismic response of long-span continuous beam bridge with isolated high piers is obviously increased under the action of long-period ground motion in the far field. When building isolated long-span bridges in areas with great influence of long-period ground motion in the far field, attention should be paid to the adverse effects caused by the frequency spectrum characteristics of ground motion.

To understand the determinants of transportation mode choice of travelers around metro stations, more and more built environment attributes have been studied and shown significant results. This study focuses on the impacts of street-scale built environment on the travelers around the metro stations. 754 trips stemming from 309 respondents were collected around Yingkoudao metro station in Tianjin, China. A multinomial logit model was estimated to predict transportation mode choice to/from the study area as a function of socio-demographic information, trip characteristics, and street-scale built environment attributes (including land use mix, road width, the shortest distance to the station, sidewalk width, number of lamps, greenery area, and traffic light presence) along the shortest route between the Yingkoudao metro station and the origin/destination around the station for the choice of metro+walk. The results show that not only the socio-demographic characteristics, but also the distance to the station, land use mix, and number of lamps significantly influence the choice of metro+walk.

With the continuous progress of the time, technology is also developing rapidly, among which Building Information Modeling (BIM) has also become a hot topic in prefabricated constructions. Previous research has made it clear that BIM can promote the development of prefabricated construction. However, in practical applications, BIM technology has not been well developed in prefabricated construction. In order to find out the obstacles to the development of BIM technology in China's prefabricated construction, and identify the relationship between obstacles, this study identified 20 obstacles through literature review. This study used the Decision-making Test and Evaluation Laboratory (DEMATEL) model to get the importance of each obstacle and the causality between them, and provides a solution to the development of BIM technology in China to promote the development of BIM technology in new construction methods.

BIM has huge potential in the construction industry, but the development in the field of project cost is not as good as expected. In this paper, the factors that prevention BIM implemented in project cost were sorted out, and the factors were graded by questionnaires, then factor analysis method and importance index were used to calculate the biggest influence factor of BIM in project cost. This paper puts forward some measures from the perspectives of personnel, software, cost and enterprises, such as strengthening cooperation between universities and enterprises to cultivate fine talents, increasing scientific research investment to perfect BIM cost software, enriching BIM learning resources to increase the study enthusiasm of cost workers, and establishing reasonable cost-sharing mode. In order to promote the development of project cost information in China.

In the context of global warming, the development of the summer tourism industry has maintained a rising trend, and has gradually become a key area of widespread concern and continuous innovation by the government, tourism companies, scientific research, and the media. This paper takes domestic tourists who go to Changbai Mountain for summer travel as the research object, using the online travel notes of many travel websites such as Mafengwo and Ctrip as the data source, with the help of NLPIR big data semantic intelligent analysis platform, using text mining, network analysis, co-occurrence analysis and other methods to analyze the text data of travel notes quantitatively and qualitatively. The characteristics and laws of Changbai Mountain summer tourism consumer behavior are analyzed from three aspects: tourism decision-making behavior, tourism consumer preference, and post-tour evaluation.

The environmental test cabin method was used to simulate the actual use environment of car mats to collect test gas, The formaldehyde content in the collected gas was measured by ultraviolet spectrophotometer, and the formaldehyde release rate was calculated. The results indicated that formaldehyde was released in all 30 batches of samples at a rate ranging from 0.02 to 0.13mg/ m2 (m2•h).

In view of the problem that water cut rises quickly in conglomerate reservoirs with high water cut, based on the variation law of reservoir water injection and liquid production characteristics, a method for determining the maximum liquid production scale in conglomerate reservoirs with high water cut is established by using reservoir engineering and field statistics.Considering the maximum liquid production capacity at the well end, the maximum injection capacity at the well end and the injecting-production ratio limit to keep the formation energy, a method to determine the maximum liquid production scale in conglomerate reservoir is established to keep the formation energy sufficient.This method ensures that the injection and production ends of the reservoir are coordinated and matched, and the formation energy is sufficient, so that the reservoir development keeps a benign cycle.The research method and conclusion have important reference value and significance for theoretical research and practical application of ultra-high water cut oilfield development.

The mechanical properties and stress-strain relationship of cemented backfills with different stratified structure have a direct effect on the mining-filling cycle and the mining of adjacent pillars. To obtain the stress-strain evolution curves, the uniaxial compressive strength tests were performed on backfills with stratified numbers of 0, 1, 2 and 3. The deformation of stratified backfill under the compressive load is regarded as a compound of closed deformation of the macroscopic stratified structure and elastic deformation of material. The damage constitutive model of cemented backfills with different stratified structure are established by considering the influence of compacted section. Comparative analysis reveals that the calculated curve based on the established sectional damage constitutive model conforms well to the trial curve. The maximum closed strain of the structural plane has a more significant effect on the mechanical properties of backfill. In the Weibull distribution, with the increase of the parameter m, the peak strength of backfill gradually increases and then reaches to a certain value, and the stress-strain curve gradually becomes steeper, which shows that m is a reflection of the concentration level of micro-unit strength distribution in the backfill..

The spatial distribution, temporal variations and trend changes of surface black carbon concentrations in eight key climatic regions across China were analyzed from 2007 to 2018, based on the Modern-era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) black carbon dataset. The mass concentration of BC in China shows an “East-High and West-Low” pattern, with multi-year averaged BC ranging from 154 ng/m3 to 3857 ng/m3. Pronounced seasonal variations were found, with the highest value in winter and the lowest in summer. Most of regions in central and eastern China share similar diurnal pattern with a single-peak at early morning and a valley at noon. Obvious downward trend in most regions of China were identified from 2007 to 2018, especially in southern central China and southwestern part of eastern China, with the highest decline rate of -8.349 ng/m3 per month, which confirming that the great endeavors and effective enforcement of environmental protection measures implemented in China for the last decade.

In this paper the arabinoxylanase activities and the content of water-extractable arabinoxylans (WEAXs) including their degradation products in wheat Yannong 24 during the malting process were studied. The results showed that the endo-β-1,4-xylanase activity had a large increase during the steeping process, endo-β-1,4-xylanase and α-L-arabinofuranosidase achieved the highest activity on day 4 of germination. During malt kilning, endo-β-1,4-xylanase and α-L- arabinofuranosidase were not heat stable, and the activity decline rate were 65.88% and 69.58%; whereas malt β-D-xylosidase was resistant to heat and it’s activity decline rate was only 18.74%. It is during steeping and the first day of germination that the content of WEAXs and it’s degradation products (WEAXs+DP) dramatically increased, and this corresponded to the greater improvement of endo-β-1,4-xylanase activity in the same phase. The WEAXs+DP content has a very significant positive correlation with the endo-β-1,4-xylanase activity (0.892, p

The temporal variations of black carbon concentration at 7 sites, including Longfengshan, Anshan, Benxi, Dalian, Changchun, Shenyang, and Fushun, in Northeast China was studied based on up to 11 years of ground observations and MERRA-2 reanalysis dataset. Except for Benxi, Changchun and Shenyang, at other four sites, the ground-based black carbon concentrations have decreased generally in the last decade, while changes in the black carbon concentration of MERRA-2 are relatively small. The seasonality of measured black carbon concentration shows a trend of low in May-June and high in January at all sites, and the diurnal cycles present similar pattern with two peaks occurring at 10:00-12:00 UTC and 23:00-24:00 UTC respectively, two troughs occurring at 05:00-07:00 UTC and 19:00-20:00 UTC respectively. The daily mean of MERRA-2 black carbon concentration is 49.3% lower than that of the ground observations at 7 sites averagely. They also show poor consistency in terms of seasonal and daily changes, which perhaps means an inappropriate application of MERRA-2 black carbon concentration at single point in Northeast China.

Atmospheric systems are typically chaotic and their chaotic nature is an important limiting factor for weather forecasting and climate prediction. So far, there have been many studies on the simulation and prediction of chaotic systems using numerical simulation methods. However, there are many intractable problems in predicting chaotic systems using numerical simulation methods, such as initial value sensitivity, error accumulation, and unreasonable parameterization of physical processes, which often lead to forecast failure. With the continuous improvement of observational techniques, data assimilation has gradually become an effective method to improve the numerical simulation prediction. In addition, with the advent of big data and the enhancement of computing resources, machine learning has achieved great success. Studies have shown that deep neural networks are capable of mining and extracting the complex physical relationships behind large amounts of data to build very good forecasting models. Therefore, in this paper, we propose a prediction method for chaotic systems that combines deep neural networks and data assimilation. To test the effectiveness of the method, we use the model to perform forecasting experiments on the Lorenz96 model. The experimental results show that the prediction method that combines neural network and data assimilation is very effective in predicting the amount of state of Lorenz96. However, Lorenz96 is a relatively simple model, and our next step will be to continue the experiments on the complex system model to test the effectiveness of the proposed method in this paper and to further optimize and improve the proposed method.

This paper recommends the rolling optimization strategy based on the initial data of road traffic accidents, and builds the rolling optimization-grey Markov dynamic prediction model, which can effectively resolve the matter that the precision of accident forecast is influenced by the time benefit of the predicted data. In order to predict the development tendency of road traffic accidents and further improve the prediction precision of random time series, this paper uses Markov chain theory to probe into the transition law between different states. The case study shows that this measure has good forecast precision and practicability in a certain period of time, and can offer Reference for road traffic accident forecast and traffic safety warning.

At present, there are many movie reviews appear on main stream websites, and these evaluations are quite different to the same movie. As a customer, how to choose your favorite movie and television program? To solve this problem, this study attempts to use the semantic analysis of word vectors (Word2vec) semantic analysis in machine learning as a research tool to mine a large number of movie reviews. The research shows that most movie reviews have a certain theme cohesion and their semantic network has quite connected. Through the use of social network analysis and the use of Word2vec word vector technology in natural language processing, it is possible to present a streamlined movie review based on movie review network semantics and keyword extraction, thus helping to select the favorite movie review.

Chitosan-TiO2 photocatalytic composite was prepared using anatase nano-TiO2 and edible chitosan. Fourier Transform Infrared Spectroscopy (FT-IR), ultraviolet visible (UV-vis) and scanning electron microscopy (SEM) was used to characterize the structure of the composites. The photocatalytic degradation performance of the composites was studied by constructing a simulation system. The stability of the combination between chitosan and TiO2 in the composite can be confirmed by the results of FT-IR, UV-vis and SEM. The composite had a good photocatalytic degradation effect. When the addition amount of chitosan-TiO2 was 0.4%, the degradation efficiency of heptanal, octanal, (E)-2-heptenal and (E)-2-octenal reached the highest values of 83.82%, 81.73%, 96.33% and 93.36%, respectively.

On the regional scale, investigations on future landslide can broadly be distinguished in spatial or temporal analyses, i.e. landslide susceptibility or hazard maps, and landslide triggering rainfall thresholds. Even though both approaches have its uses e.g. in spatial planning, risk management and early warning, they also have limitations. Susceptibility and hazard maps do not contain information on when landslides will be triggered, while rainfall thresholds give no detailed indication on where a landslide might take place. The combination of spatial and temporal landslide research remains a complex issue and no ready-to-use methodology for combined spatiotemporal landslide analyses is presently available. In our study, we present a simple matrix approach to combine spatial and temporal landslide probabilities and highlight its application for a case study in the Wudu region, China. Landslide susceptibility mapping is based on a previous study involving logistic regression; the analysis of rainfall threshold was carried out applying the daily rainfall model. A 4x4 matrix was used to combine and reclassify the spatial and temporal landslide information. The results are then plotted on a map to highlight the susceptibility for rainfall events with varying likelihood of triggering landslides.

Geological hazards such as instability of surrounding rock and leakage of water are easily occurred in subway tunnels crossing water rich sand layers. Based on the principle of fluid solid coupling in porous media, this paper studies the plastic zone distribution of surrounding rock and reinforcement ring, vertical settlement of tunnel vault and water seepage of tunnel before and after grouting reinforcement for water rich sand layer. Considering the compressibility of rock mass, the relationship between porosity, permeability and volume strain is further deduced and simplified. A set of numerical calculation formula is set up to study the change of physical parameters of the water rich sand layer before and after grouting to determine the grouting effect and select the thickness of the best grouting reinforcement ring. The results show that the deformation and water permeability of the tunnel decrease with the increase of the thickness of the grouting reinforcement ring. The thickness of the grouting reinforcement ring is the most reasonable when the thickness of the reinforcing ring reaches a certain value, and the thickness of the grouting reinforcement ring is designed to be 5~6m. The research results have been successfully applied in the grouting project of Qingdao Metro stone elderly bathing beach. The reliability of the numerical simulation is verified by comparing the data from the field monitoring and measurement, providing reference for the related projects.

Copying with the increasingly severe energy crisis and air pollution, new energy vehicles will be an inexorable trend in the near future. The E-Cell electric engineering vehicles will replace conventional oil-fired ones gradually. This paper analyses the current situation and tendency of EVs in brief, explains the function of E-Cell electric engineering vehicles and its roles in maintaining grid stability, peak load shifting and 24-hour emergency rescue service for EVs. Concerning technical application, this paper primarily designs vehicle intelligent terminal systems, Battery Management System(BMS), cable charging, wireless charging and self-charging systems. Finally, this paper designs the billing modes of charging process, and accounts for billing process of vehicle intelligent terminal systems by flow chart to ensure the accuracy during charging process.

This paper analyzed the main fuel control system of the auxiliary power unit (APU), explored the starting process of the main fuel flow control system control law and control algorithm. Focus on analyzing the interpolation table that is involved in the controller of the starting process, restoring its physical meaning. The design method of the main fuel flow controller for the starting process of the APU is summarized. It’s a valuable reference for the future design of the control system of both aero-engine and auxiliary power unit.

A class of boundary value problem for fractional functional differential equation with delay C D σ ω ( t ) = f ( t , ω t ) , t ∈ [ 0 , ζ ] , ω ( 0 ) = 0 , ω ′ ( 0 ) = 0 , ω ″ ( ζ ) = 1 , $ \left\{ {\begin{array}{*{20}c} {^{C} D^{\sigma } \omega (t) = f(t,\omega _{t} ),t \in [0,\zeta ],} \\ {\omega (0) = 0,\,\omega ^{\prime}(0) = 0,\,\omega ^{\prime\prime}(\zeta ) = 1,} \\ \end{array} } \right. $ is studied, where 2 < σ ≤ 3 , c D σ $ 2 < \sigma \le 3,\,\,^{c} D^{\sigma } $ devote standard Caputo fractional derivative. In this article, three new criteria on existence and uniqueness of solution are obtained by Banach contraction mapping principle, Schauder fixed point theorem and nonlinear alternative theorem.

A new fluorescent chemosensor for Fe3+ was developed based on a rhodamine platform. L displayed highly selective and sensitive “OFF-ON” fluorescence response and naked-eye color change to Fe3+ in aqueous solution. The resulting L-Fe3+ complex was found to act as a selective“ ON-OFF” fluorescence probe for AcO- against common anions and cations with a Fe3+ displacement approach. The detection limits of L to Fe3+ and L-Fe3+ complex to AcO- were estimated to be 6.04×10-8 mol/L and 7.51×10-8 mol/L, respectively. The good biocompatibility of L enabled the investigation of fluorescent response for Fe3+ and AcO- in living Ana-1 cells by confocal microscope.

Based on weighted signal covariance (WSC) matrix and maximum likelihood (ML) estimation, a directionof-arrival (DOA) estimation method of multiple moving targets is designed and named as WSC-ML in the presence of impulse noise. In order to overcome the shortcoming of the multidimensional search cost of maximum likelihood estimation, a novel continuous quantum particle swarm optimization (QPSO) is proposed for this continuous optimization problem. And a tracking method of multiple moving targets in impulsive noise environment is proposed and named as QPSO-WSC-ML. Later, we make use of rank-one updating to update the weighted signal covariance matrix of WSC-ML. Simulation results illustrate the proposed QPSO-WSC-ML method is efficient and robust for the direction tracking of multiple moving targets in the presence of impulse noise.

Clock transform and recovery is of significant importance in microwave TDM service, and it is always extracted from the E1 line data stream in most cases. However, intrinsically uncertain delay and jitter caused by packet transmission of E1 data information, may lead to the indexes of the data recovery clock exceed the clock performance template. Through analysis of the E1 clock indexes and measuring methods, this paper proposes a new clock recovery method. The method employs two buffers, the first RAM is used as a buffer to deduct excess information, and the second FIFO is used as a buffer to recovery the clock and data. The first buffer has a feedback from the second one, and is able to actively respond to changes in the data link and requests from the second one. The test results validate the effectiveness of the method, and the corresponding scheme is also valuable for the other communication systems.