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Objectives: It is difficult for the traditional traffic information acquisition method to obtain the real-time dynamic traffic flow information of large scope and full coverage. With urbanization, the increasing number of supertall buildings makes the city skyline a favorable platform for earth observation. This paper studies the urban remote sensing video production and traffic information extraction method using the urban skyline as the observation platform. Methods: First, the earth observation data shooting is carried out in the super-tall buildings. Then, the original oblique observation data is corrected by orthography, which is further fused with the satellite image to generate a large range of remote sensing video data of the city. Finally, we train a deep learning model and use it for vehicle classification and identification. The number and density of vehicles in the area are calculated based on the identification results. Results: This paper carries out data collection and processing analysis on the sightseeing floor of Ping, an Building in Shenzhen. Results show that the proposed method can produce low-cost, long-time, large-scale and high-quality urban remote sensing video. The vehicle detection based on the remote sensing video have high accuracy. Conclusions: The proposed framework can be used to effectively monitor the regional traffic flow and sever for the smart city management. Furthermore, based on its capability of long-time, high-resolution, full-coverage and real-time remote sensing, this method can also be applied to many other urban management fields, such as urban disaster emergency response, crowd monitoring, and construction site monitoring. [ABSTRACT FROM AUTHOR]

Under the strategic background of implementing the new development concept, there is an important question to be answered about whether the' responsibility to people' water pollution control policy can promote corporate green innovation while improving the environment. Based on the panel data of Shanghai and Shenzhen A-share listed companies from 2009 to 2019, this paper empirically tested the impact of the implementation of the river chief system on corporate green innovation using the multi-period DID method. This research concluded that the river chief system could significantly improve corporate green innovation. After a series of necessary tests, such as the parallel trend test and placebo test, the conclusion remained robust. The mechanism analysis showed that the policy effect of the river chief system was mainly realized through two channels, namely, internal incentive and external pressure, and that the effect of external pressure was stronger than that of internal incentive. Further research showed that the governance power of local river chiefs had a lax effect at the boundaries of prefecture-level cities, and the promotion incentives of officials also affected the policy effect to a certain extent. More importantly, under the policy background of the river chief system, local officials were more active in water pollution control and could also monitor enterprises far away from the rivers. In addition, the results of the heterogeneity analysis showed that: ① Compared with small enterprises, large enterprises received more attention from policymakers, and the river chief system had a stronger regulatory impact on large enterprises, whose green innovation level had a more significant improvement. ② Compared with private enterprises, state-owned enterprises responded more positively to the river chief system policy, and the green innovation output stimulated by the policy was higher. ③ Compared with other industries, enterprises in the water pollution industry were less affected by the river chief system policy. This paper found that these enterprises mainly dealt with environmental governance pressure by reducing production rather than focusing on green innovation. This study provides a policy basis for implementing the environmental regulation policy of' responsibility to people' and for realizing the dual goals of environmental protection and economic development. It also provides theoretical support and practical inspiration for the refined implementation of environmental regulation policies from multiple perspectives, such as internal incentives, external media supervision, and enterprise heterogeneity. [ABSTRACT FROM AUTHOR]

The digital twin city seeks to restore virtually the geographic scene that is close to reality and provide the audience an immersive experience. Three dimensional (3D) real urban scene is one of the key technologies to achieve the goal. Nowadays, the combination of geographic information system and game engine becomes an industrial trend and provides new opportunities for 3D real urban scene. Oblique photogrammetric data, as being a fundamental data source for 3D urban modeling, is able to represent large-scale and high-precision scene. The game engine plays an excellent role in offering realistic effects and post-production systems that are greatly useful for geospatial data visualization. However, the diversity of specifications and formats of oblique photogrammetric data has caused many different data loading and transformation methods, resulting in a problem to be solved in 3D real urban scene. Methods: This paper aims to propose a data transformation approach from oblique photogrammetric data to rendering resources in game engine. To stress, the proposed approach can allow us to load instantly massive amount of oblique photogrammetric data in Unreal Engine, which is one of the most popular game engines. We further compared oblique photogrammetric data with rendering resources in game engine and discussed the significance of such a data transformation. The approach reorganizes the original structure of the data by parsing data into a tree structure that better suits transformation purposes. Also, the proposed approach transforms respectively the geometry and texture data when iterating tree nodes, as well as considers the essential physical properties of rendering assets. All these features are combined into a package data format. Results: In the case study of Futian district, Shenzhen, the results show that the proposed approach successfully converts oblique photogrammetric data to rendering resources in Unreal Engine 4. In the transformation process, the geometrical structure and collision properties of triangular mesh are guaranteed, and color, bump and other visual elements of original data are kept in materials. The rendering resources are loaded to simulate the real urban scenarios at different time periods of a day in Unreal Engine 4. Conclusions: This paper devises a novel approach which can convert the oblique photogrammetric data into rendering resource for a game engine to load and render, and meantime maintain the consistency of data's geometry and texture. For its scalability, it also supports parallel processing of large-scale data transformation when data is organized in the same directory. The proposed approach may be of great theoretical and practical value for other related 3D model data transformation problems. [ABSTRACT FROM AUTHOR]

[Objective] The present paper aimed to reveal the mechanism of action of soil bacterial community environment in woodland under different restoration patterns. [Method] Using high-throughput sequencing technology, we analyzed the relationship between soil physicochemical properties and dominant bacterial communities through the composition and diversity of soil bacterial communities in southern Aquilaria sinensis, Acacia mangium forests and natural secondary woodlands. [Result] (i) In the taxonomic study of soil bacteria in different forest stands, there were 44, 32 and 35 phyla of soil bacteria in the Aquilaria sinensis, Acacia mangium and secondary forest, respectively.The composition of soil bacteria in the three forest stands was relatively similar, and the dominant bacterial groups were Proteobacteria and Acidobacteria, and the communities with relative abundance ＞1% were all Actinobacteria, Verrucomicrobia and Planctomycetes. (ii) In the α-diversity analysis of soil bacteria in different forest stands, the highest Chao1 index of secondary forest soil indicated the highest bacterial community in this soil, and the highest Shannon index of soil sedum forest soil indicated high bacterial diversity in this soil. (iii) In the β-diversity analysis of soil bacteria in different forest stands, the soil bacterial community structure of soil sedum forest and Acacia mazanensis forest was differential, while the secondary forest had similar soil bacterial structure to the former two. (iv) In the RDA redundancy analysis of soils in different stands, Phytophthora variegata and Phytophthora floxa were significantly and positively correlated with fast-acting potassium, effective phosphorus and total phosphorus. Acidobacteria were negatively and significantly correlated with soil pH, effective phosphorus and fast-acting potassium. [Conclusion] The results reveal the structural variability and diversity of soil bacterial community composition in three different forest stands in Shenzhen, and provide a theoretical basis for further exploring whether the artificial restoration model is superior to natural forests. [ABSTRACT FROM AUTHOR]

Big data, a vital driving force of high-quality economic development in China, improves both the speed and efficiency of information exchange and knowledge dissemination. Existing studies have conducted a series of discussions on the dividend effect of big data development, but few have analyzed it from the perspective of corporate green development. Based on the theoretical analysis of the impact of big data development on the internal mechanisms of corporate green technology innovation and on the regulatory role of intellectual property protection, in light of the exogenous policy shock from the ‘National Big Data Comprehensive Pilot Zones,’ this paper studied the A-share listed companies in Shanghai and Shenzhen by adopting the difference-in-differences model (DID) to evaluate the impact of big data development on corporate green technology innovation and the moderating effect of intellectual property protection between them. The research results showed that the development of big data significantly promoted corporate green technology innovation, and that the conclusion still held after a series of robustness tests. Heterogeneity tests showed that the promoting effect of big data development on corporate green technology innovation was more observable in large-scale enterprises, state-owned businesses, and companies with high-level access to data from local governments. The mechanism test indicated that the development of big data could promote corporate green technology innovation by improving the intensity of regional environmental regulation, easing the financing constraints of enterprises, and improving their human capital level. The moderating effect test showed that intellectual property protection played a significant positive moderating role between big data development and corporate green technology innovation. Accordingly, the government should improve the big data development policies to promote deep integration of big data and the real economy in a consistent manner, reinforce the system design concerning corporate green technology innovation guided by policies of big data development, and combine big data development with green development goals such as achieving peak carbon emissions and carbon neutrality. Meanwhile, policies should be refined based on different types of enterprises in different regions so that a long-term mechanism can be established to support corporate green innovation development. It is also necessary to strengthen the construction of an intellectual property protection system so as to accelerate corporate green technology innovation and green development more effectively. [ABSTRACT FROM AUTHOR]

With the implementation of fiscal system reform policies such as government procurement, revenue and expenditure classification and comprehensive department budget, financial performance evaluation has become a highly concerned link of listed feed companies. Taking 20 listed feed companies on the main board of Shanghai stock market, Shenzhen stock market and GEM as research object, the paper selects six primary indicators such as profitability, operating capacity and solvency and 18 secondary indicators such as profit growth rate, return on total assets and return on total assets to construct the financial performance evaluation index system of listed feed companies. In the paper, the effectiveness index is obtained by AHP model screening, the financial performance of listed feed companies is evaluated by DEA model. The results show that the comprehensive efficiency of financial performance of sample listed feed companies is at general level. Financial management, technology and scale factors all have a great impact on financial performance, and company scale has a relatively large impact. The research indicates that suggestions such as emphasizing fine production, constructing scientific fund management system and rationalizing debt planning can provide reference for improving financial management level of listed feed companies. [ABSTRACT FROM AUTHOR]

Low-carbon development is a future vision of corporate entities, and financialization is a development feature of those enti‑ ties in reality. Investigating the impact of corporate financialization on low-carbon technological innovation is of strategic significance for high-quality economic development and national industrial security. Taking the manufacturing enterprises listed in Shanghai and Shenzhen A-shares in China from 2011 to 2021 as samples, this paper empirically analyzed the impact of corporate financialization on low-carbon technological innovation, discussed the moderating role of the ‘motivational context’ of financialization in this impact, and further analyzed the non-financial impact mechanism of the ‘motivational context’ on low-carbon technological innovation. The re‑ search found that: ① The deepening of corporate financialization would inhibit the improvement of the enterprises’ low-carbon technological innovation level, and this inhibition effect had hysteresis and viscosity. After a series of robustness and endogenous tests, this conclusion was still valid. ② The inhibition effect of corporate financialization on the input and output of low-carbon technological innovation in state-owned enterprises was weaker than that of non-state-owned enterprises, and the inhibition effect on large-scale enterprises was weaker than that of small-scale enterprises. In non-state-owned enterprises and small-scale enterprises, the lag and viscosity effects of financialization on low-carbon technological innovation were more prominent. ③ Based on the perspective of ‘motivational con‑ text,’ it was found that the improvement of profitability optimism and industry competitiveness could effectively mitigate the inhibition effect of corporate financialization on low-carbon technological innovation, while the enhancement of internal financing constraints would aggravate the inhibition effect of financialization on low-carbon technological innovation. ④ The impact of internal and external ‘motivational context’ on low-carbon technological innovation had a non-financial impact channel mediated by managers’ environmental attention transfer. The improvement in profitability could be transferred to managers’ environmental attention, and the financing constraints and industrial competition intensity would be transferred out of managers’ environmental attention. This conclusion was still valid after the endogenous test of intermediary analysis. Therefore, based on the perspective of ‘motivational context,’ the research puts forward measures and policy suggestions to enhance the low-carbon technological innovation ability of enterprises from the aspects of improving the financial supervision of corporate entities, establishing their financial risk prevention system, alleviating their financing pressure, maintaining the benign competition order of the industries, and cultivating the environmental awareness of corporate managers. [ABSTRACT FROM AUTHOR]

A large-section rectangular pipe-jacking tunnel in Shenzhen passed through the bridge pile foundation of an interchange ramp with only a distance of 0.8 m, and down-traversed multi-purpose networks for underground pipelines with only a distance of 3 m. Relying on the tunnel project, the design of the segment of the rectangular pipe-jacking tunnels with large sections and the complex condition was studied in detail. A design flow of the design of the segment of the rectangular pipe-jacking tunnels with large sections and a complex condition was proposed. The design elements of the segment configuration of the rectangular pipe-jacking tunnels with large sections were analyzed. The configuration of the segment was designed. Then three working conditions, including the lifting of the segments, the construction pushing condition, and normal service conditions, were assessed using numerical analysis to determine the dimension of the structures. The joints of the segments, longitudinal connections, reserved holes and so on were specially designed considering the properties of the project with large sections, deep-covered soils and high water pressure. Based on the case investigation, contrastive analysis and practical verification, the paper drew the conclusion that the proposed design flow and the design elements were much helpful for the design of the rectangular pipe-jacking tunnels with large sections in complex condition. [ABSTRACT FROM AUTHOR]

Most of the existing traffic flow prediction algorithms only consider the prediction under normal conditions, but not the influence of weather attributes and surrounding geographical attributes on the prediction results, This paper proposed a combined prediction model（A-STIGCN） integrating external attributes. First, the external attributes are taken as the attributes of the sections in the road network, and the attributes and traffic characteristics of the sections are also put under modeling to obtain the enhanced feature vectors. Secondly, the method used graph wavelet transform and adaptive matrix to extract the local and global spatial feature information of the traffic flow respectively, with the help of the gating cycle unit（GRU） to extract the temporal information. Finally, the temporal dynamic variability of the attention mechanism is captured to predict the traffic flow. Shenzhen taxi trajectory data, corresponding weather data and POI data for prediction, the research results show that A-STIGCN combination model is better than the traditional linear model and variant model, compared with the ASTGCN model without introducing attention mechanism, MAE reduced about 0.131, accuracy improved 0.068, and the TGCN model without introducing external factors, MAPE. The reduction by about 0.637% and the improved accuracy by 0.079 provides better guidance for traffic management. [ABSTRACT FROM AUTHOR]

Based on the comprehensive comparison and analysis of the methods for laying out and the application effect of the construction survey control network for the construction of the artificial islands and tunnels for the Hongkong-Zhuhai-Macao Bridge and the Shenzhen-Zhong shan Link, this paper summarizes the common characteristics of the construction survey for the cross-sea artificial islands and tunnels, and proposes reasonable suggestions on the design of the survey networks, site selection and embedment of survey points, evaluation of the stability of control points and application of survey results, which can be used for reference on similar projects. [ABSTRACT FROM AUTHOR]

Underwater deep cement mixing pile (DCM) has been widely used as a soft soil foundation reinforcement treatment technology. It is the first example in China that DCM is applied to the foundation of immersed tunnel on a large scale in the Shenzhen-Zhong shan Link Project. This paper focuses on the research and discussion of the whole process of underwater DCM application from the aspects of design scheme, construction technology, post-construction detection and settlement monitoring. The preliminary design scheme was optimized, the DCM construction technology and automatic operation system under complex geological conditions were improved, and a set of post-construction inspection and evaluation system was formed. The monitor原ing results show that the bearing capacity of the immersed tube foundation is reliable, the differential settlement is controllable, and the construction technology is feasible, which can provide relevant reference for similar projects. [ABSTRACT FROM AUTHOR]

Under the background of economic system reform and the continuous transformation of financial functions, the implementation of financial fine management has become the mainstream direction of reducing cost, increasing efficiency and sustainable development of feed enterprises. The paper takes the t-3 financial data of 20 feed listed enterprises in Shenzhen and Shanghai in 2020 as the research sample to explore the applicability of PCA-SVM model to financial fine management of feed enterprises. It is found that PCA-SVM model effectively integrates the advantages of PCA and SVM model, eliminates the linear correlation of sample data, reduces dimension and significantly enhances the classification ability and generalization of financial fine management of feed enterprises. And PCA-SVM model has good applicability for measuring the financial fine management level of high-dimensional data and small sample feed enterprises, which can provide reference for financial managers. Therefore, feed enterprises should strengthen the application of modern information network technology, improve the technology embedding system, strengthen the whole process control and improve the application level of PCA-SVM model in financial fine management. [ABSTRACT FROM AUTHOR]

This paper takes A-share listed companies in Shanghai and Shenzhen between 2014 and 2018 as the research object, and empirically tests the relationship between information technology investment and the effectiveness of internal control and the moderating effect of institutional investors’ shareholding on the two. The study finds that information technology investment can significantly improve the effectiveness of internal control, and the increase in the shareholding ratio of institutional investors will enhance the positive effect of information technology investment on the effectiveness of internal control. However, further research by industry finds that: for labor-intensive enterprises, neither the impact of information technology investment on the effectiveness of internal control nor the moderating effect of institutional investors ’shareholding on the two are significant; while information technology investment of capital-intensive enterprises and technology-intensive enterprises has positive improvement effect on the effectiveness of internal control, and institutional investors ’shareholding will enhance the improvement effect of information technology investment on the effectiveness of internal control. [ABSTRACT FROM AUTHOR]

In Paul Willis’s “Learning to Labour”, the lads articulate ‘anti-school culture’ as their reaction after penetrating/seeing through the schooling mechanism. This paper will demonstrate some other reactions to seeing through the school system, through the case of migrant workers in Shenzhen China. These reactions are: bypass, repair, and “mobile learning”. By analyzing the learning strategies displayed by a group of young migrant workers in an electronics factory, who left school out of choice but were keen to learn, this paper argues that “mobile learning” allows social actors to imagine and realize new possibilities without challenging the existing structure. Migrant workers use this method to bypass and repair the school system which is falling apart. This paper points out that migrant workers who drop out from school are not “bad students.” This label is not helpful for understanding their situation or for solving their problems. Their problems cannot be solved by exhausting various resources to help them become “good students.” These young migrant workers are not backward, unteachable, unmotivated, or unwilling to learn. Rather, they saw through the middleclass nature of schooling and its urban bias, and realized it cannot possibly help them improve their livelihoods. They become wage labourers in factories in Shenzhen as the result of finding alternatives. Migrant workers who engage in “mobile learning” move to different places and social contexts. On the one hand, through “legitimate peripheral participation,” they gain knowledge and skills in that social context, and they collate and assemble such learning resources for their own use. On the other hand, they mobilize cultural taste, social experiences, and symbols between urban and rural settings, and thus create social, cultural, and symbolic capital which enables them to transform their subjectivities in response to the failure of the schooling system. However, “mobile learning” has its limitations. All the resources, opportunities, and every transition of this learning process is not institutionalized. “Mobile learning” relies largely on waiting, coincidences, the appreciation of supervisors and workers’ own extra labor (such as showing loyalty, hard work, diligence, etc.). In short, the path of migrant workers’ “mobile learning” is thin and easily ruptured. [ABSTRACT FROM AUTHOR]

Spatial ‐ temporal analysis method provides technical support for epidemiological investigation. To analyse and demonstrate the transmission of coronavirus disease 2019(COVID‐19), this paper takes the data of COVID ‐ 19 cases in Shenzhen as an example, combines epidemiological investigation knowledge with geo ‐ location linked association analysis, and uses the spatial ‐ temporal five ‐ tuple model to structure and analyze the case data. Rules based on spatial‐temporal five‐tuple model for case type judgment and statistical analysis are defined, which can use spatial‐temporal overlap principles to judge two types of cases, input cases and contact cases, and to make temporal statistics and zoning statistics about the confirmed cases. This paper defines the five‐tuple model and its operation rules for judging and analyzing the epidemic gathering situation, which can use the principle of spatial‐temporal overlap to judge and mine the epidemic gathering situation and to analyze its propagation process. Combined with GIS spatial‐temporal visualization, the entire process of epidemic developments and transmission are displayed in the maps with interactive interface along with temporal series diagrams and social relationship diagrams. During the spreading stage of the epidemic situation, by updating the case data and implementing the analysis, the spatial‐temporal five ‐tuple structure and its operating rules could be feasible to judge, deduce quickly and show the changing status of the epidemic simultaneously with their visualization. The spatial‐temporal five‐tuple model combined with visualization technology can effectively display the distribution and transmission of the diseases, health or hygiene events, and provide support for disease control agencies to understand and control the spread of epidemic conditions. [ABSTRACT FROM AUTHOR]

A visual analysis method for existing public transportation data is difficult to analyze the spatial and temporal distribution of passengers, the spatial and temporal distribution of passenger flow, and the inter-regional passenger flow timing changes under different spatial granularities. This paper proposed a multi-view fusion visual analysis system. The system combined smart card data, vehicle GPS data, subway and bus route information of urban public transportation, then used the travel link model the regression model based on travel time and space characteristics ' to complete the origin-destination (OD) inference. Then, this paper designed the hierarchical visualization method of map visualization, and combined the rose map and the dynamic contrast stacking line graph to analyze the passenger flow timing characteristics and correlation between regions. Finally, visual analysis' results of real public transportation data in Shenzhen verify the effectiveness of the system. [ABSTRACT FROM AUTHOR]

The west artificial island of Shenzhen-Zhongshan Link adopts the rapid island-formation process by inserting large diameter steel cylinders into the enclosed island body on the sea bed. At present, the cases of rapid island-formation by steel cylinder are relatively few, and the research on the tilt of steel cylinder during construction and the stability of the cylinder need to be further deepened. Taking the west artificial island of Shenzhen-Zhongshan Link as an example, in view of the construction conditions of steel cylinder vibration and sinking until the formation of land area of artificial island, this paper analyzed the causes of the tilt of the cylinder under the comprehensive action of loads inside and outside the island, the results are closely related to the geological conditions and the lateral pressure and water pressure caused by the foundation reinforcement inside and outside the cylinder during construction. The monitoring results after foundation treatment in the island and the riprap of the island wall structure are basically completed show that the cylinder displacement and tilt have converged, and the security has been controlled. It provides some experience reference for further research on the stability of steel cylinder enclosure structure during construction in similar projects. [ABSTRACT FROM AUTHOR]

In order to realize data fusion calculation in the flexible elevation transference and meet the data monitoring requirements of leveling construction, a decision support system for leveling construction of Shenzhen -Zhongshan Link immersed tube storage area was developed. In this paper, measurement and control solution method for leveling construction was introduced, the structure of decision support system and the main function modules including general navigation & positioning, leveling parameter design and positioning, leveling construction monitoring and leveling data management were analyzed, and an application example in the leveling construction of immersed tube storage area was also given. Application results show that the technical route of the measurement and control method is reasonable, the calculation method of the software is efficient and correct, multi-perspective data display mode can vividly display the relative relationship between real time monitoring elevation and design elevation, which meets the application requirements of leveling construction. [ABSTRACT FROM AUTHOR]

BACKGROUND: Autologous peripheral blood hematopoietic stem cell transplantation has been widely used in clinic because of its wide age range, fewer complications and low cost. The reconstitution of hematopoietic function after transplantation mainly depends on the quantity and quality of hematopoietic stem cells. Based on the clinical practice, this paper analyzes various factors affecting the collection of peripheral blood hematopoietic stem cells, and calculates the appropriate blood routine standards. It is of great significance to improve the success rate of peripheral blood hematopoietic stem cell collection and autologous transplantation. OBJECTIVE: To analyze the influence of related factors on the number of CD34+ cells during the mobilization and collection of peripheral blood hematopoietic stem cells of patients with hematological tumors. METHODS: A retrospective analysis of the effects of various factors on the number of CD34+ cells collected during the mobilization and collection of peripheral blood hematopoietic stem cells of 36 patients in Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences was performed from June 2018 to June 2020, including age, gender, body surface area, disease type, various cell levels on the day of collection, number of chemotherapy before collection, and disease before collection factors such as status, presence or absence of bone marrow involvement at the first diagnosis. RESULTS AND CONCLUSION: (1) The number of CD34+ cells was related to the number of leukocytes, the absolute value of monocytes, the proportion of monocytes, and the proportion of lymphocytes on the day of collection, and the difference was statistically significant (all P < 0.05). Further analysis of the above four indicators found that the absolute value of monocytes on the day of collection had the highest predictive value for the number of CD34+ cells, followed by the proportion of lymphocytes, leukocytes, and monocytes. (2) Single factor analysis found that age, disease type, mobilization plan, the number of chemotherapy before collection and the presence or absence of bone marrow invasion at the initial diagnosis had no effect on the final collection success rate, and the difference was not statistically significant (all P > 0.05), while gender, disease status before mobilization, body surface area and the final collection success rate were related, and the differences were all statistically significant (all P < 0.05). (3) Results concluded that after mobilization, the blood routine monitoring is used to determine the collection time of peripheral blood hematopoietic stem cells, which mainly monitor the number of leukocytes, the absolute value of monocytes, the proportion of monocytes, and the proportion of lymphocytes. The absolute value of monocytes is the highest predictive value. The cutoff is 1.345×109 /L. When the subject is male, pre-collection disease state is complete remission or partial remission, and body surface area is large, the final collection success rate is high. [ABSTRACT FROM AUTHOR]

Predicting the future activity location and trajectory of residents can provide essential information for smart urban management such as epidemic control, traffic facilitation, public security, etc. However, the current personal location prediction methods generally focus on the mining of individual’s historical travel patterns, and seldom consider the feature of different travel stay points. This paper aims to propose a location prediction model utilizing stay point feature extraction. The model firstly constructs the historical trajectory links based on trajectory data, performs the location discovery rules to transform historical trajec⁃ tory links into stay point links and clusters the stay points to form clustering links. Secondly, the model ex⁃ tracts the feature information (entry time, departure time, weather and land use) from different stay points and extracts the space feature from clustering links. Finally, the cluster links with feature information is in⁃ troduced into long short ⁃ term memory (LSTM) network for customization to implement the personal loca⁃ tion prediction capability. By using a 23⁃day trajectory location data of more than 3 million volunteer users in Shenzhen city, China. The results show that the location prediction F⁃score of our proposed model is bet⁃ ter than variable order Markov model (about 5.5% performance gains) and the traditional N⁃order Markov model (about 7% performance gains). The model also introduces approximately 6.6% performance gains by utilizing the temporal and weather features of stay points. The model shows the capability of utilizing travel stay point feature for personal next location prediction. [ABSTRACT FROM AUTHOR]

This paper studies the impact of fundamental macroeconomic news on stock market return and its volatility by constructing indicators which measure unexpected components of 7 macro announcements series. We find that the monthly returns of stock markets are a hedge against inflation, and PPI, fixed investment, money supply (M2) significantly affect the returns of stock markets, moreover the trade surplus has significant effect on the volatility of stock market returns. We also find daily stock market returns response the macroeconomic announcements differently. For Shanghai stock market, CPI, fixed investment and importation affect the returns of Shanghai Composite Index, and export variable influences both its return and volatility. Shenzhen stock market only has a response to the exportation information. In addition, there are significant structure change in above relationship in the post crisis. Among all macro information variables, only PMI and trade variables strongly affect the market returns, while PPI is significantly related to their volatility. [ABSTRACT FROM AUTHOR]

This paper uses the ΔCoVaR approach to estimate the tail risk spillover effects between Shanghai/Shenzhen and Hong Kong stock markets from November 2006 to December 2018. The results show that: 1) There exist the significantly positive spillover effects between Shanghai/Shenzhen and Hong Kong stock markets in both directions; 2) The spillover effects from Hong Kong to Shanghai/Shenzhen stock market are stronger than those from Shanghai/Shenzhen to Hong Kong stock market; 3) There exist more fluctuations in the spillover effects between Shenzhen and Hong Kong stock markets than those in the spillover effects between Shanghai and Hong Kong stock markets; 4) After the launch of the lShanghai-Hong Kong Stock Connect' and 'Shenzhen-Hong Kong Stock Connect', the spillover effects between Hong Kong and Shanghai/Shenzhen stock markets do not appear to change significantly. [ABSTRACT FROM AUTHOR]

In the Report uring the 18th National Congress of the Communist Party of China in 2012, President Xi Jinping proposed that we should speed up the construction of an ecological civilization system and resolutely fight the battle against pollution, which is presented in the new round of ecological civilization construction work in Guangdong Province. According to the carrying capacity of regional resources and environment, we should incorporate environmental damage, ecological benefits and other indicators into the comprehensive evaluation system of development, and build a green ecological urban agglomeration in the Pearl River Delta. In this paper, through the construction of development intensity and bearing capacity index system, nine cities in the Pearl River Delta were selected as the research object, and the coupling coordination model was used to quantify the level of sustainable development, and the role of each subsystem was revealed through driving force analysis. The results show that: (1) The contrast of regional development intensity is obvious, and the characteristics of metropolitan area are becoming increasingly prominent. Among them, Shenzhen has the strongest degree of development and Zhaoqing was the weakest; (2) According to the driving factors, the carrying capacity of resources and environment in the region can be divided into natural pulled type and economic pulled type. The comprehensive carrying capacity can be consolidated through natural advantages and socio-economic input, respectively; (3) More than half of the urban eco- economic systems in the region are on the verge of being out of tune. Driven by economic factors, Guangzhou and Shenzhen are relatively more coordinated; (4) We should cope with three coordinated development states in the region, and formulate ecological restoration plans for local cities. [ABSTRACT FROM AUTHOR]

Xiong'an New Area is a millennium plan and a national event. Water shortage and water pollution have become the main problems which restrict its development. Different from the existing research on Xiong'an strategic development interpretation and resource profile description, this paper combines with scenario analysis and directional distance function models so as to show the water resources utilization efficiency and water saving potential development landscape and path of different scenarios in 2035 for the first time and it is innovatively based on the development of Shenzhen. The research shows that Xiong'an presents a change from low-efficiency zone to high-efficiency zone to high-efficiency zone in the Business as Usual, Starting Process and Construction Completion scenarios from the perspective of utilization efficiency. From the perspective of water saving potential, the reduction of efficiency improvement space and the increase in metatechnology ratios indicate that water saving potential of Xiong'an has been fully explored. Avoiding direct sewage discharge, developing sewage treatment technology actively and optimizing the industrial structure of the Xiong'an New Area are effective ways to promote the utilization efficiency of water resources, which is also an important guarantee for Xiong'an to realize green ecological development. [ABSTRACT FROM AUTHOR]

Using the data of A-share listed companies from 2011 to 2016 in Shanghai and Shenzhen, we establish a panel threshold model which the threshold variable is internal control, and analyse the nonlinearity relationship between dividend and agency cost. The result shows:There exist threshold effects between dividend and agency cost based on internal control. Cash dividend can reduce agency cost when internal control quality is higher than the threshold, otherwise, cash dividend will no longer have any effect. That means, a valid internal control is the foundation of dividend governance function. Furthermore, the descriptive statistics result implies that, companies with higher internal control quality than threshold are popular. This paper proofs that agency theory is effective in Chinese market, and higher internal control quality higher propensity to pay. So we disagree with the previous hypothesis of "result" and "substitution" between internal control and dividend. [ABSTRACT FROM AUTHOR]

There are 13,000 cross-boundary students studying in Hong Kong while living in Shenzhen. They cross the boundary every day but they cannot enjoy most social welfare services either in Hong Kong or in Mainland China. Having a unique socioeconomic and cultural background, these children encounter difficulties in adjusting to the school life in Hong Kong. Living in Shenzhen, their voices are not heard and their needs are not met. This paper will introduce the background and needs of the cross-boundary students and the services provided by the International Social Service Hong Kong Branch. Suggestions for effective policy provisions and social services to improve the life of cross-boundary students will also be presented. [ABSTRACT FROM AUTHOR]