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A high-precision mechanized seeding can greatly contribute to the vegetable production at present. In this study, a spotting glue-paper tape precision seeder was designed for the small seed vegetables, particularly combining the seed rope and printing seeding. Three components were also divided in the seeder, including the peristaltic pump glue, ratchet spotting glue, and seed metering device. Among them, the glue was a mixture of pregelatinized starch and water. Specifically, the glue volume and viscosity were the main factors affecting the number of adhered seeds. The glue point volume depended mainly on the rotation angle of the peristaltic pump during the movement. A pretest of seed adhesion was carried out to preliminarily determine the mass ratio of pregelatinized starch to water (less than 1:5), representing the glue viscosity. Furthermore, the frequency of pump and dispensing were analyzed to clarify the relationship between the peristaltic pump and ratchet speed, where the number of ratchet teeth was determined to be 4. As such, the matching was realized between the peristaltic pump and ratchet spotting glue. The ratchet profile was also designed, according to the spotting glue motion. A theoretical analysis was made on the movement of seeds in the seed guiding tube. It was found that the aggregation effect of seeds on the paper tape relied on the length and cross-sectional angle of the seed guiding tube, as well as the rotation speed of the socket wheel. The seed guiding tube was then optimized for the optimal structural parameters. A Box_Behnken test was also carried out, where the length and cross-sectional angle of the seed guiding tube, while the rotation speed of the socket wheel was taken as the test factors, whereas, the percentage of seeds in the effective area on the paper tape was taken as the test index. The results showed that the percentage of seeds in the effective area on the paper tape was 57.23%, when the length of the seed guiding tube was 56 mm, the section angle was 35°, and the rotation speed of the seed metering wheel was 30 r/min. An adhesion test was also performed on the Shanghai Qing 605 seeds with a diameter of 1.5-2.0 mm. The test factors were then selected as the roller angle of the peristaltic pump and the mass ratio of pregelatinized starch to water. An optimal combination of parameters was achieved, including the size of the glue point, and the mass ratio of pregelatinized starch to water. Once the roller rotation angle was 10° and the mass ratio of pre-gelatinized starch to water was 1:6, the single seed rate of glue point adhesion to seeds reached 97.4%. The adaptability test was also carried out on the whole machine on the working performance of different varieties of small seed vegetables. It was found that the single seed rates of Shanghai Qing 605 and Siji Chinese cabbage seeds were greater than 95% under the working speed of 0.5-1.5 m/s, whereas, the coefficient of variation of plant spacing was less than 10%, fully meeting the requirements of precision sowing indicators that specified in the standard NY/T1143-2006. Therefore, the single seed rate and the working efficiency of the improved seeder increased by 3.53%, and 50% than before. [ABSTRACT FROM AUTHOR]

The research explored the temp-spatial evolution characteristics for the spatial mismatch and vulnerability among the tourism-economy-ecosystem along the Yangtze River Economic Belt by using research methods including the spatial mismatch and vulnerability based on the panel data from 2004 to 2018. The results are as follows. (1) The overall mismatch along the Yangtze River Economic Belt presented a polarized development trend within which Shanghai, Jiangsu, and Zhejiang showed a typical positive mismatch and other provinces showed a negative mismatch; the overall spatial mismatch index tended to be more severe, the phenomenon of antagonism occurred more frequent and the situation of mismatch became more critical. (2) The overall vulnerability index along the Yangtze River Economic Belt presented a fluctuating trend and the healthy, risky, and severe development trends coexisted within the development process of each province’s vulnerability index. (3) The nine provinces and two cities could be decided into 3 typical categories of planned development regions by the comprehensive spatial mismatch and vulnerability index: Shanghai, Jiangsu, Zhejiang, and Hubei belonging to developing regions; Hunan, Chongqing, and Sichuan belonging to development and protection regions; Anhui, Jiangxi, Guizhou, and Yunnan belonging to protective regions. In the end, the paper puts forward specific suggestions on how to eliminate the spatial mismatch and vulnerability situation in the Yangtze River Economic Belt from both macro and micro perspectives, so as to provide theoretical reference for the high-quality sustainable development of the Yangtze River Economic Belt and other major river basins. The research explored the temp-spatial evolution characteristics for the spatial mismatch and vulnerability among the tourism-economy-ecosystem along the Yangtze River Economic Belt by using research methods including the spatial mismatch and vulnerability based on the panel data from 2004 to 2018. The results are as follows. (1) The overall mismatch along the Yangtze River Economic Belt presented a polarized development trend within which Shanghai, Jiangsu, and Zhejiang showed a typical positive mismatch and other provinces showed a negative mismatch; the overall spatial mismatch index tended to be more severe, the phenomenon of antagonism occurred more frequent and the situation of mismatch became more critical. (2) The overall vulnerability index along the Yangtze River Economic Belt presented a fluctuating trend and the healthy, risky, and severe development trends coexisted within the development process of each province’s vulnerability index. (3) The nine provinces and two cities could be decided into 3 typical categories of planned development regions by the comprehensive spatial mismatch and vulnerability index: Shanghai, Jiangsu, Zhejiang, and Hubei belonging to developing regions; Hunan, Chongqing, and Sichuan belonging to development and protection regions; Anhui, Jiangxi, Guizhou, and Yunnan belonging to protective regions. In the end, the paper puts forward specific suggestions on how to eliminate the spatial mismatch and vulnerability situation in the Yangtze River Economic Belt from both macro and micro perspectives, so as to provide theoretical reference for the high-quality sustainable development of the Yangtze River Economic Belt and other major river basins. [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]

Anomaly detection aims to capture the discriminative features with limited training samples. However, when some anomalies share common compositional patterns with the normal training data, the model likely reconstructs the anomalies well, leading to the miss detection of anomalies. To mitigate this drawback, this paper proposed a novel contrastive memory network, which used the contrast learning framework to separate the sample features based on the autoencoder, and then designed a memory network to suppress the normal features similar to anomaly. This method proposed a two-stage framework for detecting abnormal events. In the first stage, the method used contrastive learning to increase the difference between normal features and abnormal features, and gained representation to be the augment memory and suppression memory of memory network. In the second stage, the model used augment memory to record multi-time normal behavior features, and used suppression memory to constrain the expression of pseudo anomaly items in the augment memory. The AUC value reached 83. 26% on UCF Crime datasets and 87.53% on Shanghai Tech datasets, which were 1. 14% and 2.43% higher than the existing methods. The results demonstrate that this method can efficiently predict the temporal localization of anomaly events. [ABSTRACT FROM AUTHOR]

With the advent of the internet economy and E-commerce era, offline logistics has developed rapidly, but the problem of "last kilometer" distribution in cities and towns still exists, and Cainiao station has emerged. As a large-scale logistics hub city in China, Shanghai is more representative to explore the spatial characteristics and influencing factors of the Cainiao station as the research object. Based on the POI (point of interest) data of Shanghai Cainiao station, this paper analyzes the spatial distribution pattern and influencing factors of Shanghai Cainiao station by using ArcGIS technology, spatial autocorrelation analysis, buffer analysis, kernel density analysis, standard deviation ellipse, nearest neighbor analysis and text analysis. In the whole study area, 90% of Cainiao station in Shanghai is located within 150 m of the service objects, and the number is inversely proportional to the distance between the nearest entry and exit points of the service objects. Affected by the level of urban economic development, population, transportation facilities, ecological environment, urban planning and other factors, the distribution of Cainiao station is extremely uneven, roughly setting up in the south-north direction. The distribution of Cainiao station in the main urban area and the suburbs presents a "multi-core agglomeration mode", and there is a big difference between them. The distribution of Cainiao station is not balanced and highly coincides with the layout of urban planning. The number of Cainiao station is positively correlated with the urban population and urban economic development level. This research results can provide some reference for the layout optimization of Cainiao station in Shanghai. [ABSTRACT FROM AUTHOR]

Donghai Bridge is the only cross-sea bridge connecting Yangshan Deep-water Port and Luchao Port of Shanghai, which plays a vital role in the development of Shanghai Port. Due to the influence of tides, waves and runoff from the Qiantang River and the Changjiang River, some piles supporting the piers of the bridge have been scoured greatly and the scour depth has exceeded the design warning value since its completion in 2005, based on various multi-beam scans. In order to ensure the safety of the bridge, the scour around the piles and their protection are analyzed and studied through model testing together with trial remediation works. In this paper, optimization and summary of the scour protection technology are made according to the results of the analysis and research. A key technology is proposed that the core area for protection is protected by bagged gravel and the top is protected by bagged wet mixed concrete, and the two sides of the bridge is protected by a soft mattress of concrete interlocking blocks. The protection technology can provide reference for scour protection of similar pile foundations. [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]

The technological innovation of emerging industries is the key field of regional competition, the impact of the rapid development of regional innovation integration on localization is a question that economic geographers need to answer. Taking the new material industry in the Yangtze River Delta as an example, this paper obtains the data of invention patents from Incopat patent service website, and explores the relationship between regional innovation integration and localization in cooperative R & D and patent transfer network from 2000 to 2017. The main conclusions are as follows: (1) In terms of spatial structure, the degree of regional integration in the two networks is highly related to the spatial pattern of localization, and both of them present a "core periphery" structure centered on the "Z" shaped region composed of "Hefei - Nanjing - Shanghai - Hangzhou - Ningbo". (2) The degree of regional innovation integration can promote the strength of local network, but there is a significant positive "U" relationship between integration and localization. On the one hand, it affirms that the regional innovation integration has positive significance for the improvement of regional overall innovation ability. On the other hand, it shows that the role of de-localization is dominant in the early regional innovation integration. But after a certain degree, the process of high-quality integration can force the local network to accelerate the development, and the regions with high degree of integration can take the lead in exerting the siphon effect and utilizing external resources to promote the process of re-localization. (3) The process of regional innovation integration is an interwoven process of de-localization and re-localization. It is crucial for local governments to reshape local networks and local characteristics with the help of integration forces. [ABSTRACT FROM AUTHOR]

Improving the accuracy and refinement level of urban flood management is the key to solving the urban flooding. The purpose of this paper is to quantitatively assess the role of rainfall resolution in detecting rainfall variability and performing rainfall frequency analyses (RFA). A total of 16 rainfall products with a variety of space-time resolutions were used to obtain RFA results in Shanghai, China. Results are based on diagnostic indicators of rainfall variability and the stochastic storm transposition method. The results indicate that storm magnitudes are underestimated when coarse space-time resolutions are used. Furthermore, the use of low-resolution data results in a lagged estimation of storm occurrence and an under- and overestimation of rainfall variations. Depending on the return period, the rainfall resolution has a significant impact on the RFA outputs: coarser data resolution and longer return periods tend to underestimate the intensity-duration-frequency curves. It is also evident that temporal resolution has a greater impact than spatial resolution, as it accounts for five times as much of the effect. These results emphasize the importance of high-resolution rainfall data for the analysis of extreme rainfall intensities, particularly in relation to urban flooding. For flood control design purposes in urban areas, we recommend using rainfall data with a resolution of 12 h and 0. 05° or finer. [ABSTRACT FROM AUTHOR]

Mild cognitive decline is the early stage of Alzheimer's disease, and the feature extraction and classification of mild cognitive decline using EEG signals is an important method for diagnosing mild cognitive decline. In the automatic detection technology of mild cognitive decline based on electroencephalogram artificial intelligence, the existing research only extracted a certain feature in the electroencephalogram signal or simply concatenates multiple features, which caused these methods to fail to well consider the correlation between different features and it would cause the problem of dimensional disaster. This paper proposed a convolutional neural network based automatic detection algorithm for resting state electroencephalogram data of mild cognitive decline. By extracting the power spectrum and brain network features of the electroencephalogram, it fused the two features by matrix operation, and designed a convolutional neural network to classify the fused features. This method achieves a high accuracy rate on the data set collected by a hospital in Shanghai. In addition, by inputting different subsets of the feature set, this method found the few groups of features that contribute the most to mild cognitive decline, thereby it also had a certain interpretability. Experiments on the dataset of this paper, it p roves the advantages of the power brain network for the automatic diagnosis of mild cognitive decline. [ABSTRACT FROM AUTHOR]

Objectives: The registration of remote sensing image data and GIS ( geographic information system ) vector data is the basis of the integration of remote sensing and GIS, which is widely used in the fields of map data update, city monitoring, map change detection and so on. At present, the key to the registration of remote sensing images and vector data is the extraction of remote sensing image features. However, the existing remote sensing image feature extraction has problems such as incomplete feature extraction, which leads to registration failure or low accuracy. This paper proposes a registration method for remote sensing images and vector data based on Mask region -based convolutional neural network (Mask R -CNN). Methods: Firstly, we select the road intersection as the distinctive feature of the same name in the remote sensing image and vector data, and create a road intersection image data set to train Mask R -CNN model. Secondly, according to the geometric topological relationship, the vector data road intersections are selected as vector control points. And take the intersection control point of the vector data as the center, we use 400 × 400 pixels window to crop the remote sensing image data and input it into the Mask R-CNN model, extract the border of the road intersection in the image. The control points of the same name are determined according to the Euclidean distance between the remote sensing image and the vector data control points, and the control points of the same name are cleaned using the density-based spatial clustering of applications with noise algorithm. Finally, the affine transformation parameters are calculated according to the filtered control points of the same name to realize the registration of remote sensing image and vector data. The registration data of Shanghai vector data and Gaofen-2 image data were selected for registration experiment. Results: Experimental results show that the average deviations of the experimental data before were 15. 34 m and 1. 44 m, before and after registration based on Mask R -CNN. This method can correctly register remote sensing images and vector data, and the proposed method has better application prospects in urban data registration, and has the characteristics of strong robustness and high accuracy. Conclusions: The proposed method in this paper can automatically register remote sensing images and vector data from different sources in areas such as mountains, grasslands, and deserts. In the next step, the amount of sample data of remote sensing images will be increased, including types of remote sensing images and types of features. [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]

Objective: To make a bibliometric analysis of the literature published in Pharmaceutical Cave and Research from 2001 to 2021 and study its academic influence. Methods: The literature published since December 2001 was retrived from the website of Pharmaceutical Cave and Research (http://pcarjournal.zgkw.cn). All the information concerning publication time distribution, author affiliations, citation frequency, key words and fund sponsorship were collected for statistical analysis. The top 10 author affiliations and top 20 frequently-cited papers were screened. The expansion of the geographical coverage and increase of academic influence of the journal were analyzed. The key words with frequency ≥15 times in pharmaceutical care papers were identified. The Ucinet 6.0 software and NetDraw software were used to plot the network relationship diagram of high frequency key words and find out the hotspots of the pharmaceutical care papers in the journal. Results: Since inception, the Journal has totally published 3021 papers, reached peak in 2008-2010 and then gradually declined. Now, the journal enjoys a good reputation in Shanghai and even in the whole Eastern part of China, with author affiliations distributing throughout 33 provinces, municipalities directly under the central government and autonomous regions, and even with a few of foreign contributors. There were 1446 papers cited by the Chinese science and technology core journals, and 183 papers cited by SCI journals. Totally, 596 fund-sponsored papers were published in the journal, with the ratio of fund-sponsored papers accounting for 19.73%. The pharmaceutical care papers published in the journal clearly displayed the development process of pharmaceutical care in China. Conclusion: With good academic quality, this journal has high influence in the field of pharmacy, particularly in pharmaceutical care. In addition it provides a high level academic exchange platform and professional support for the development of pharmaceutical care, and plays a positive role in promoting further development of hospital pharmacy. [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]

As a new mode of economic development, night-time economy has gradually become the new power of urban economic development. Based on the panel data of 26 cities in the Yangtze River Delta urban agglomeration from 2012 to 2019, this paper first discussed the temporal and spatial evolution characteristics of the night-time economic development level of the Yangtze River Delta urban agglomeration by using the kernel density estimation method and spatial autocorrelation analysis, and then constructed a spatial panel model to conduct an empirical study on the influencing factors of the night-time economic development level. The results show that the night-time economic development level of most cities is still in the middle and low stage, but the overall development level is constantly improving and the polarization trend is decreasing year by year. It presents a spatial distribution pattern centered on Shanghai and gradually decreasing towards inland and periphery, with strong positive spatial correlation, and the spatial correlation features are mainly “high-high” and “low-low” aggregation types. Per capita disposable income, urbanization level, industrial structure and government capital investment all significantly promote the nighttime economic development in this region. There are spatial spillover effects in urbanization level, industrial structure and transportation level. [ABSTRACT FROM AUTHOR]

This paper proposed the mathematical model with the goal of minimizing transportation costs and vehicle fixed costs which based on the urban waste classification collection and transportation problem, considering the vehicle loading capacity constraints, hard time window constraints, and the impact of loading rate on cost. Dynamic fusion of an improved ant colony algorithm that considered the time fit factor and the vehicle capacity utilization factor and chaotic electromagnetic field optimization algorithm, combined with 2-opt and two-point exchange local search method, this paper proposed a novel hybrid ant colony algorithm with improved ant colony algorithm as the external framework and chaotic electromagnetic field optimization algorithm as the internal module to solve the urban waste classification collection and transportation problem. According to the idea of complementary advantages between algorithms, using the advantages of the two algorithms to make up for the defects of a single algorithm, it successfully applied to this problem. Finally, it used the vehicle routing problem standard test set and data from Yangpu district, Shanghai as examples to test and compare, verifies the correctness of the model and the effectiveness and optimization capabilities of the algorithm. [ABSTRACT FROM AUTHOR]

In order to solve the problems of uneven population distribution and different target scales affecting the crowd counting in public places, this paper proposed a novel crowd counting model based on image field division. Firstly, this model divided the image scene into two parts : the near and far field of vision area. For the near field of vision area, it used the YOLO based network for p edestrian d etection and added scene constraints to avoid repeated counting in the near and far field of vision. For the far field of vision area, it used the improved MobileNets to extract the population density distribution characteristics, and introduced the super-resolution reconstruction module to improve the quality of the population density map . Finally, it obtained the number of the c rowd in the whole image by calculating the sum of the two. This paper tested the proposed model on Shanghai Tech and Mall d atasets. The results show that the model has a significant improvement in accuracy and robustness and prove the model is feasible. [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]

In order to obtain the variation law of temperature field at the starting end of double-circle shield tunnel reinforced by horizontal cup freezing method, combined with a double-circle shield tunnel section project of Shanghai Rail Transit Line 6, this paper established a numerical model by using finite element numerical simulation software, analyzed the development law of temperature field of cup-shaped frozen wall at the end of double-circle shield tunnel when the initial model designed with 102 frozen pipes. Two optimization schemes were put forward: scheme 1 was reducing the number of freezing pipes in inside, center and outside circles by 2, 4 and 6 respectively; scheme 2 was reducing the number of freezing pipes in inside, center and outside circles by 4, 6 and 10 respectively. The freezing effects of the initial model and two optimization schemes were analyzed and compared. The results showed that: at the beginning of freezing, the frozen soil curtain gradually extended outward around each freezing pipe in a cylindrical shape, and the closer it was to the freezing pipe, the better the freezing effect. The frozen soil curtain began to cross in the order of outer circle, center circle and inside circle, and formed an approximate double-round cup-shaped frozen wall with regular shape and uniform strength distribution on the 18 th day of freezing. The length of double round cup-shaped frozen wall cup bottom was 10.2 m, the height of cup body was 4.4 m, the thickness of cup wall was 2 m, and the thickness of cup bottom was 2 m.The initial freezing scheme which using 102 freezing pipes met the construction requirements, the freezing effect was good, and it was feasible in actual construction, but it was conservative. The two optimization schemes still met the starting cup-shaped freezing wall cup of shield machine requirements after reducing the number of freezing pipes. [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]

Good environment is the basis of human survival and development. With the rapid development of China’s economy and the improvement of urbanization, municipal solid waste has become an important factor affecting residents’ health and urban sustainable development. Will municipal solid waste continue to grow with economic development? Or will there be a turning point? Based on the environmental Kuznets curve, this paper selected the panel data of 30 provinces, cities and autonomous regions from 2005 to 2019 to empirically study the relationship between municipal solid waste and economic growth and tested the regional heterogeneity under different economic development levels. The results showed that: ① China’s overall municipal solid waste and economic growth presented an inverted S-shaped curve, and two turning points appeared when the per capita GDP reached about 36 890 yuan and 107 450 yuan, respectively. ② Beijing, Shanghai and other coastal economically developed areas passed or approached the second turning point, and the municipal solid waste would decrease with future economic growth. ③ Inland areas except Gansu had all passed the first turning point, but not passed the second turning point yet, and the municipal solid waste would increase with future economic growth. ④ Regional heterogeneity test found that the relationship between municipal solid waste and economic growth in the eastern region showed an inverted U-shaped curve, and a turning point appeared when the per capita GDP reached about RMB 75 720 yuan. The relationship between municipal solid waste and economic growth in the central region presented a U-shaped curve, and the turning point appeared when the per capita GDP reached RMB 34 500 yuan; the relationship between municipal solid waste and economic growth in the west⁃ ern region showed an inverted U-shaped curve, and the turning point appeared when the per capita GDP reached about RMB 181 795 yuan. On the whole, enterprises and residents in the eastern economically developed areas had strong environmental awareness, and the government exerted a good effect on municipal solid waste treatment. The awareness of environmental protection of enterprises and residents in central and western regions needed to be improved. The government should strengthen the treatment of municipal solid waste and improve the awareness of environmental protection of enterprises and residents, especially in the western region. Therefore, in order to realize the coordinated development of environmental protection and economic growth, the following policy suggestions are put for⁃ ward based on the empirical results: ① Changing the garbage service charging method will accelerate the arrival of the turning point of the WKC curve. ② We should make differentiated environmental regulation policies for different regions. ③ We should increase investment in green technological innovation. [ABSTRACT FROM AUTHOR]

With the further implementation of capital market opening policies, how will the linkage effect between RMB exchange rate, foreign capital flows and mainland stock market evolve? This paper studies the time-varying characteristics of the dynamic relationship among RMB exchange rate, Shanghai-tong and Shanghai-50 index based on SV-TVP-SVAR model. We find that from the perspective of current relationship, RMB exchange rate significantly and negatively influenced the net inflow of Shanghai-tong and Shanghai-50 index, and the net inflow of Shanghai-tong have a significant positive impact on Shanghai-50 index. From the perspective of impulse response, the depreciation of RMB has generally led to net outflow of Shanghai-tong and dragged down Shanghai-50 index. The net inflow of Shanghai-tong has a significant time-varying impact on the depreciation of RMB and promotes the rise of Shanghai-50 index. The rise of Shanghai-50 index led to the appreciation of RMB and the outflow of Shanghai-tong, confirmed the reverse investment style of Shanghai-tong fund. In this paper, we first described the linkage effect among RMB exchange rate, Shanghai-tong trading and mainland market, and put forward some targeted policies to improve SH-HK stock connect trading mechanism, maintain the stable of RMB exchange rate and promote the healthy development of capital market. [ABSTRACT FROM AUTHOR]

This paper developed a hybrid convolution neural network for perceptual crowd counting, which could accurately predict density maps in extremely crowded scenes . It consisted of merely two components: the front-end was a dilated convolutional neural network to extract two-dimensional features ;the back-end deployed a fractionally stride convolution to lower the loss of image information caused by down-sampling. This paper designed the model structure based on the dataset Shanghai Tech, then in an attempt to acknowledge and analyze the performance of the algorithm, and afterwards made use of the evaluation indicators of the regression problem, the average absolute error ( MAE) and the mean-square error ( MSE) as the criteria. Additionally, testing the method on Shanghai Tech ( MAE= 100. 8), UCF CC_50 ( MAE = 305. 3) and WorldExpo' 10 datasets while the experiment results reveal that the proposed model can effectively reduce MAE and MSE when compared with previous methods . [ABSTRACT FROM AUTHOR]

In view of the uncertainty of demand and return for perishable products in different periods, this paper proposed a multi-period model of closed-loop logistics network for perishable products and the corresponding mixed integer linear programming ( MILP) model, so as to achieve the decision of the minimum total system cost, the best facility location and vehicle route. In order to avoid the influence of uncertain parameters effectively, it converted some defined constraints in the model to robust corresponding expressions by using cardinality constrained robust approach. Through the case of the fruit and vegetable agricultural enterprises of Shanghai, this paper verified the validity of model by genetic algorithm. The result shows that compared with the single period system, the multi-period system has the advantages of dynamic performance and lower system cost. Meanwhile, it verifies the feasibility and effectiveness of the robust model through the analysis of the variation of uncertain budget parameters. It provides a reference for the construction of multi-period closed-loop logistics network and the reduction of system cost under uncertain environment. [ABSTRACT FROM AUTHOR]

The prefabricated building has been promoted in China for more than 4 years, but there is still a certain shortage of component capacity in Shanghai. In this paper, the current situation of PC component factory yard was studied, and the results show that the yard area of PC component factory is generally small, and the lack of stacking yards has gradually become a key factor limiting the capacity release of PC component factory. A new storage system for prefabricated building panel components was designed, which has a simple structure, low cost and 2~2.6 times the storage capacity of flat stacking. [ABSTRACT FROM AUTHOR]

Wave pressure on armors is an important parameter in the design of sloping seawalls. Presently, there are limited researches on wave pressure on nut armor blocks of a compound sloping seawall under the action of waves. A prototype observation experiment of wave pressure was conducted, and an inverse analysis was made by taking an indoor flume experiment in this study. As well, a series of physical model tests were conducted for a typical section of a sloping seawall built in Shanghai coastal region. In this paper, the influence of the dimensions of wave dissipating berms, type of armor blocks, slope gradient and other factors on armor pressure was studied, and the methods for calculating the wave pressure on nut armor blocks that suit local seawall structure characteristics was put forward, which can provide reference for similar engineering design. [ABSTRACT FROM AUTHOR]

This paper introduces the acceptance evaluation, and performance evaluation and star-level certification of Shanghai opening practice and training centers of vocational education. From four aspects that are designing of evaluation items, establishment of evaluation index systems, carrying processes of the evaluation, and application of the evaluation results, this paper presents the integrated design of the evaluation for opening practice and training centers of vocational education, studies the significance of education evaluation in the construction of these centers, and deals with theory exploration based on the evaluation practice. [ABSTRACT FROM AUTHOR]

There is huge spatial disparity between Chinese electricity production and consumption. Most of coal, hydropower, wind and solar power resource are distributed in western provinces while population and industrial activities are agglomerated in eastern provinces, which lead to a huge amount of inter-provincial electricity flow and trade to realize supply-demand balance. Based on the annual reports of the State Power Market Trading and the China Energy Statistical Yearbook, etc., this paper established the inter-provincial electricity OD flow matrix for 2006 and 2015 with a degree of interpretation over 95%. Then, taking the influence, extroversion, acceptability and dependence degree as main indicators, this paper analyzed the scale and strength of output and input points of 25 provincial administrative units and 2 regional units in China. The source and sink points of the inter-provincial electricity flow were determined, their field characteristics were studied, and the differences between the two years of 2006 and 2015 were compared. Further, the characteristics and changes of the spatial structure of inter- provincial electricity network were analyzed with the method of network analysis. At last, some conclusion can be drawn as follows. Firstly, with the development of coal-fired and wind-based clean energy bases in the northwest region and the vigorous development of hydropower resources in the southwest region, the surplus of electricity in the western region has grown rapidly. China's electricity source points gradually shifted from the central to the western region and more concentrated in southwest region. Inner Mongolia, Sichuan and Yunnan became the top three source points of Chinese electricity flow with the proportions of outward electricity to total being more than 10%. Also, their proportions of outward electricity to production were all more than 30%, which means that nearly one-third of electricity was produced for other users. On the other hand, three most prosperous metropolitan regions in China, namely Beijing-Tianjin-Hebei, Shanghai-Jiangsu- Zhejiang and Guangdong, were still the main sink points with their proportions of inward electricity to total being more than 20%. Secondly, the spatial disparities of the electricity production and consumption increased, leading to the increase of sizes of the source output and the sink input. Also, the scale of inter- provincial electricity flow and network contact density showed an increasing trend. During this period, the size of interprovincial electricity flow increased 3.1 times and the inward electricity flow of Jiangsu- Shanghai- Zhejiang, Guangdong and Beijing-Tianjin-Hebei increased 5.0, 3.4 and 2.3 times, respectively. Thirdly, the inter-provincial power flow field presented a significant three-channel pattern of "West- to-East Power Transmission" from north to south, which was affected by geographical location and subordinate regional power grids. From 2006 to 2015, this pattern of three major channels remained unchanged. Further, with the development and application of UHV technology in China, long-distance power transmission became possible so that some large electricity input points can rely on multiple sources of power instead of a single source. Therefore, the inter-provincial electricity network tends to be perfect and balanced in the future. [ABSTRACT FROM AUTHOR]

In order to solve the problems of information mining of complex residential polygons, a multi⁃level graph partition clustering method is proposed to construct the graph model of residential polygons, and the clustering results are obtained by coarsen, matching and reconstruction, initialization and refinement of the graph model. Firstly, the Delaunay triangular network of residential buildings in the study area is constructed to generate the adjacent information graph including the research objects. Then, the similarity of the neighborhood graph is measured by five indexes of shape narrow length, size, convexity, distance and connectivity combined with the characteristics of spatial cognition and human cognition in this paper. Finally, the clustering results are obtained by using the multi⁃level graph partition method. In the experiment, the vector data of residential buildings in Shanghai are used for clustering analysis, and the silhouette coefficients and visual effects of improved k⁃Means algorithm (k⁃Means + +), density based spatial clustering of applications with noise (DBSCAN) and minimum spanning tree (MST) clustering algorithms with noise robustness are compared. The experimental results show that the results of polygonal clustering analysis based on multi⁃level graph partition are more consistent with human cognition. [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]

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]

Understanding the difference in land carrying capacity and its evolution incoastal areas in the Yangtze River Delta is important for optimally allocatingits land resources and sustaining its social and economic development. This paper presents an evaluation index system for calculating the land carrying capacity of these areasusing the support- pressure concept. We analyzed the spatiotemporal change in land carrying capacity of 11 coastal areas in the delta in 2000, 2010 and 2018, using a combination of the entropy model, the coupling coordination-degree model and the land capacity carry model. The data used in the models were obtained from remote sensing image interpretation and the national socioeconomic statistics database. The evaluation index system could be used to complement the existing evaluation research results, especially in the context of the development model of the Yangtze River Delta urban agglomeration. It could further improve our understanding of the evolutionary change in land carrying capacity in the coastal areas. Our results indicated that: 1) The coastal areas were overloaded in all three years, with the stress imposed to the lands more than what the lands could support. The supporting force index had been wavily increased while the pressure index had been in decline over the three years. In terms of support evaluation factors, the “construction investment support” was significantly higher than the “land resources basic support” and “policy control support”. In terms of evaluation factors for pressure, the mean measurement values were ranked in “land use disturbance pressure” < “coastal disaster damage pressure” <“socioeconomic development pressure”. 2) Amongthe total 33 coastal areas sampled in each of the three years, nineareas had a land carrying capacity index >1, indicating that the surplus status of the coastal areas accounted for 27.3%. The support and pressure levels remained unchanged for Shanghai and Hangzhou, but for other areas they showed continuous rise, decline, or alternate rise and fall. 3) Areas with coupling degree between 0.9 and 1.0 accounted for 97% of the total areas, all incoordinated coupling period. The land support-pressure coordination degree had four types: moderately imbalanced, basically coordinated, moderately coordinatedand highly coordinated. Spatially, most coordination types in Jiangsu were moderately imbalanced, and Zhejiang were dominated by basically coordinated with a spatial pattern of “low in north and high in south”. The coastal areashad formed a spatial pattern that converged toward Shanghai in all directions. 4) The land carrying capacity of all coastal areas in the Yangtze River Delta was overloaded, but the degree of the overload appeared to have been weakening. The studied areas in each of the three years were in a state with overload and surplus coexisting. The capacity showed a spatial pattern of “overload in south-north and surplus in center” in Jiangsu province, “global surplus” in Shanghai, and “surplus in north and overload in south” in Zhejiang province. The spatial variation of land carrying capacity in the coastal areas in the Yangtze River Delta showed that the capacity in 2000 could be divided into four states: high surplus, low surplus, low overload and high overload, while in 2010 and 2018 there were only three states. [ABSTRACT FROM AUTHOR]

The continuous advancement of economic globalization and informatization, along with the rapid construction of transportation infrastructure, have made cities more closely connected and made urban networking a prominent trend. Network news is easily accessible and contains bundant geographical information. Studying urban networks from the view of toponym cooccurrences in the news is a brand -new perspective, and conclusions may help clarify the status of cities, deepen the understanding of the structure of urban networks. This paper conducts research from contact, node and network successively. Firstly it proposes a new method aiming at measuring relatedness of city pair based on toponym co-occurrences; then it uses the centrality of social network analysis to characterize urban influence and explores its spatial distribution; finally it studies the characteristics and structure of urban networks. Results show that the proposed measurement approach highlights the strength of the relatedness, and makes up for the shortcomings of Ochiia coefficient method such as ignoring multiple diverse toponyms in the news; coastal cities possess higher urban influence than inland ones; the backbone urban network presents an approximately diamond - shaped spatial structure, metropolises such as Beijing, Shanghai, Guangzhou, and Chongqing are the core nodes. [ABSTRACT FROM AUTHOR]

In this paper, energy performance of a loop-heat-pipe (LHP) type solar photovoltaic/thermal (PV/T) heat pump water heating system is studied to evaluate its feasibility in three different climatic regions. A mathematic model of this system in our former study is built and validated using outdoor test data. On the basis of this model, influences of main structural design parameters including the installation angle and the orientation of the PV/T collector/evaporator are discussed and main parameters are optimized to further improve system operation performance. Based on optimal design parameters, economic feasibility of the proposed system under different weather conditions is analyzed using the life cycle cost (LCC) method. The system is integrated with solar PV/T, loop heat pipe and solar assisted air source heat pump technologies. This combined approach is benefit for improving solar energy comprehensive application efficiency of conventional solar PV/T systems. Moreover, it enlarges the application region of traditional air source heat pump water heating systems. Depending on different solar radiation conditions, this system can operate in different modes including solar photovoltaic LHP mode, solar assisted air source heat pump mode and the only air source heat pump mode. In this study, Beijing, Shanghai and Guangzhou were selected as typical representative cities in cold area, hot summer and cold winter area, hot summer and warm winter area. Typical meteorological year (TMY) data of three cities were extracted from TRNSYS. Based on TMY data, annual operation performance of the proposed system is calculated through the validated dynamic mathematic model. Firstly, PV/T collector/evaporators of three systems are all fixed in the south direction and the same installation angle (35°) was chosen. In this case, annual net power consumptions and solar heating fractions of three systems are calculated and compared. Then installation angles and orientations are optimized to ensure maximum solar energy application. The investigation results show that, among three cities, the solar heating fraction in Guangzhou is the largest. And the least electricity is consumed in Guangzhou, which is decreased by 43.9% and 44.7% respectively compared with those in Beijing and Shanghai. The comprehensive photothermal efficiency in Guangzhou is 8.19%, 5.58% higher than those in Beijing and Shanghai. Therefore, from the view of solar energy comprehensive efficient utilization, the application of the system is most proposed in Guangzhou, and then followed by Shanghai and Beijing. Considering impacts of installation angles and orientations, the ideal installation inclination of the system in Beijing, Shanghai and Guangzhou are 35°, 25°, and 35°, and the optimal installation directions of Beijing and Shanghai are facing the south, while that of Guangzhou is 30°east to the south. With the optimal parameters, it is found that solar heating fractions in Beijing and Guangzhou (i.e. 57.42% and 58.45%) are slightly higher than that in Shanghai. It is concluded that influences of two structural parameters are different for such system in different climatic areas. To ensure maximal solar energy application, it was necessary to optimize these two parameters. For the life cycle cost analysis, a traditional air source heat pump hot water heating system is chosen as the base system. The analysis results indicate that the initial investment of the system increases significantly, which is 2.5 times of that of the base system. However, the annual power consumption of the system is about half of that of the traditional system. Besides, solar power supply fractions in Beijing, Shanghai and Guangzhou are 53%, 51% and 66% respectively. As a result, the total operation and maintenance fees in the life cycle drop significantly, which are reduced by 67.86%, 59.00%, and 62.21% in Beijing, Shanghai and Guangzhou. The life cycle cost is correspondingly reduced by 58.75%, 49.83% and 53.09% in three cities. In conclusion, the application of this system is feasible for considered weather conditions in terms of both the operating performance and economic benefits. [ABSTRACT FROM AUTHOR]

Under the limited reserve resources of cultivated land, it is necessary to change the traditional extensive utilization methods of cultivated land resources, and the road of intensive development is the most effective way to solve the human-land contradiction. The scientific analysis of spatial and temporal differences and influencing factors of cultivated land intensive use in the region is of great practical significance for promoting intensive potential exploitation and efficient utilization of cultivated land resources. Taking the Yangtze River Economic Belt as a case study, evaluation index system of cultivated land intensive use was constructed from the dimensions of input intensity, utilization intensity, output efficiency and sustainability. Projective pursuit model was used to quantitatively measure the level of cultivated land intensive use in the Yangtze River Economic Belt from 1978 to 2016. Based on the multiscale perspective of watershed, province and city, through the coefficient of variation, spatial autocorrelation index, the paper explored multiscale spatial-temporal differences of cultivated land intensive use in the Yangtze River Economic Belt. The influence mechanism of intensive utilization of cultivated land was revealed by using geographic detector model. The results showed that: since 1978, the level of cultivated land intensive use in the Yangtze River Economic Belt has improved at the watershed scale, but in the evolution process, the difference characteristics of “east high west low” have appeared; the intensive use of cultivated land in the Yangtze River Economic Belt at provincial and city scales presents spatial agglomeration characteristics, and the smaller the scale, the more significant the spatial agglomeration. During the period of the study, the types of spatial correlation between provinces and regions were mainly positive correlation, and there was a phenomenon of “club convergence” in cultivated land intensive use in the Yangtze River Economic Belt at city scale. The hot spots are mainly concentrated in Shanghai and Southern Jiangsu, and gradually evolved into Shaoxing-Hangzhou and Lancang; the cold point area was mainly concentrated in the Western Sichuan Plateau area. Natural factors, population growth, economic and social development, and institutional policies can effectively explain the spatial-temporal differences in the intensive use of cultivated land in the Yangtze River Economic Belt; demographic factors and economic and social factors have a significant impact on cultivated land intensive use, while policy factors have a strong driving effect. Finally, suggestions were put forward on how to promote cultivated land intensive use from the aspects of comprehensive land remediation, increasing the input of elements, optimizing and adjusting the structure of cultivated land, and promoting innovation in agricultural science and technology. In addition, it should be pointed out that there are still some deficiencies in this study: only the spatial and temporal patterns of cultivated land intensive use in six time sections since 1978 are analyzed on the time scale, it is also necessary to further reveal the temporal and spatial differentiation of intensive cultivated land use in the Yangtze River Economic Belt at a multitime scale. In terms of the impact mechanism, the factors of farmer households have not been discussed in this study, and the factors of farmer households have an important impact on regional cultivated land use efficiency. How to reveal the micro-mechanism of spatial and temporal differentiation of cultivated land intensive use in the Yangtze River Economic Belt from the perspective of farmers will be the next deepening area and direction of this study. [ABSTRACT FROM AUTHOR]

As a major source of information, news media has significant impacts on the stock market investors, and further influence the stock market dynamics. In order to study the effects of online news reports on the Chinese stock market, this paper uses data collected from the Internet, and analyzes through indicators of media attention and media sentiment. After enriching the sentiment corpus, covering positive sentiment, negative sentiment and neutral sentiment, indicators of media attention and media sentiment are constructed. Based on the empirical studies of Shanghai Composite Index during the period from January 1st, 2012 to April 30th, 2016, we find that the media attention and sentiment both affect the stock market. While the sentiment index is a better indicator to capture media sentiments. Although there are various kinds of sources of online news, 52.8% of these sources provide 99.3% of all the related news reports. The results could improve the analysis and prediction of the Chinese stock market, and provide suggestions for investors. [ABSTRACT FROM AUTHOR]

With the rapid development of industrialization and urbanization as well as enhancement of geographic differentiation and diversity of man-earth areal system, functions and regional development orientations in metropolitan suburbs have shown an increasingly strong trend towards diversification. It is one of the keys to draw up the Rural Revitalization policy objectively to evaluate the multi-functional system and then sum up pattern of metropolitan suburbs. The multi-functional evaluation method of metropolitan suburbs was constructed. The multi-source spatial data, statistical data and survey data were used to evaluate the multi-functional values of the 89 towns in Shanghai. The results showed that: (1) There were significant differences in the development of multifunction among 89 towns in Shanghai. The order of mean values is listed as ecological environment function (0.7674) > economic development function (0.6054) > agricultural production function (0.5882) > life guarantee function (0.5238) > leisure culture function (0.2525). (2) The high value areas of the ecological environment were mainly distributed in Chongming Island, Western Qingpu and Southern Fengxian. The high value areas of agricultural production were mainly located in Southern Pudong, Fengxian, Jinshan, Southern Chongming and Qingpu. The high value areas of economic development was mainly located in the vicinity of central city. The low value areas of life security were mainly located in the towns close to the central city and the most remote towns. The high value area of leisure culture was mainly located in Songjiang, Qingpu and Jinshan, which are the most remote from the central city. (3) A total of 89 towns could be divided into 4 types: balanced, mixed, compound and dominant. Among the 8 subdivision patterns, only 10 towns like Pujiang town were multi-functional and presented a highly balanced development pattern, accounting for 11.24%. Thus, the final but main part of this paper envisions the innovative policies and practices in metropolitan suburbs including the diversified rural renewal, homestead regulation, and low efficiency industrial land reduction. [ABSTRACT FROM AUTHOR]

Local volatility model is widely used in the fields of risk management, options pricing, etc. The model can not only describe the "smile" and the term structure of volatility, but can also ensure the completeness of the market. The core goal of local volatility research is to calculate the implied volatility. In this paper, the implied volatility surfaces arc built with both parametric and non-parametric methods to obtain smoother volatility surfaces. Parametric method can ensure the absence of arbitrage. Meanwhile, a closed form of solving the local volatility model with non-parametric method is proposed, which can eliminate the approximation error. In addition, the pricing of Shanghai 50ETF option in China based on the local volatility model is studied by comparing effects of the models from aspects of in-the-sample, out-of-the sample and hedging pricing errors. The empirical results show that the non-parametric method is better than the parametric method for errors in-the-samplc; the parametric method has better results for out-of-sample and hedging effects. Particularly, both the options pricing and hedging effects of the implied volatility modeling methods are better than nn-modeled method in the aspects that the pricing errors can be decreased by more than half and the mean square error can be reduced by 1~2 orders of magnitude. [ABSTRACT FROM AUTHOR]

Under the influence of haze, the concentration of fine particles (PM2. 5) in the atmosphere is higher, which makes the direct radiation of solar energy lower and the scattered radiation increases. Therefore, the irradiance received by the surface of the photovoltaic module is reduced. The existing power generation estimation formula should be revised, hence a new formula for estimating power generation is proposed with the error range ± 5% from the actual power generation. Moreover, this paper explores the effect of PM2. 5 concentration on irradiance, irradiation and power generation. Through a photovoltaic roof test in a household in Shanghai, the irradiance control variable method and similar day principle are used to analyze the irradiance loss and power generation loss caused by PM2. 5, and to fit the relationship between them. At the same time, the concept of photovoltaic power generation loss index is proposed, which provides reference for the installed capacity of photovoltaic system and the reliability of photovoltaic system in the future . [ABSTRACT FROM AUTHOR]

The construction of high- speed rail in China improves the comprehensive transportation systems significantly, while challenging the development of domestic air transportation at the same time. Based on the timetable data from 2007 to 2014, the overlapping market of HSR and air network is identified from the perspective of direct connection between city pairs. In 2007, the overlappping network only had 21 city pairs with direct flights and highspeed trains, and the number dramatically increased to 277 in 2014. This paper first analyzes the potential influence of HSR development on airlines and its spatial distribution. Then, a random effect regression model is established to measure the ex- post effects of the entry of HSR on air passenger flows of all the 277 city- pairs, among which, 94 city- pairs connected with the three hub cities, and 183 city-pairs connected with other feeder airports in China. The results are as follows: (1) Despite the fact that HSR and air transportation systems in China are developing in parallel, the entry of HSR has caused a modal shift from air transportation. The reduction on air travel demand caused by G trains is more obvious than that of D trains. (2) The air travel demand between inter-cities within the same or nearby provinces decreases sharply. (3) Distance, GDP, and rank of airports are significant positive factors in increasing air travel demand. (4) Due to various flight networks, preference for air transport, and sensitivity to travel time in hub cities, city pairs connected with Beijing, Shanghai or Guangzhou are more competitive for air transportation than for HSR. [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]

Taking urban agglomeration as the main object to optimize the spatial layout of urbanization is an important part of constructing the national land spatial planning system, and the essence of spatial optimization is to promote the coordinated development of large, medium and small cities within the urban agglomeration. Based on the measurement of urbanization coordination level of 26 cities in the Yangtze River Delta Urban Agglomeration from 2001 to 2016, this paper analyses and identifies the urban coordination relationship by using the methods of social network and multi- dimensional- scaling, and explores its internal evolution mechanism. The results show that: (1) With the improvement of the urbanization coordination level of the cities in the Yangtze River Delta Urban Agglomeration, the internal space of the urban agglomeration is obviously changed. The high coordination cities gradually show a Zshaped distribution with Shanghai as the core, and the low coordination cities were stably distributed in the expanded area of the urban agglomeration. (2) According to the correlation strength of the coordination level of the Yangtze River Delta Urban Agglomeration, the cohesive subgroups were divided. The values of weighted average centrality and the contact density of the cohesive subgroups of the urbanization coordination relationship increased, and the polarization effect of Shanghai was more obvious. (3) The coordination structure of the urban agglomeration was identified from two dimensions of space and time. The Yangtze River Delta Urban Agglomeration has transformed from the "circle layer" structure centered on the provincial capital cities under the influence of spatial distance into the structure of "coreperiphery" under the influence of temporal distance. (4) The evolution of spatial structure of the urban agglomeration was influenced by the change of coordination level of population, land and economy urbanization. Compared with population and economy urbanization, land urbanization has a significant role in promoting the level of urban coordination. The optimizing policies of the Yangtze River Delta Urban Agglomeration were proposed from the perspective of coordination after analyses of its spatial structure. This is conducive to the realization of the integration of urban agglomeration and the efficient use of space resources under the conditions of China's existing resource and environmental carrying capacity. [ABSTRACT FROM AUTHOR]

To guide the rational utilization of agricultural resources and the revitalization and development of rural areas in mega-cities, this paper studies the spatial distribution rules and development patterns of agricultural multi-functions, Taking Shanghai as an example. The multifunctional agriculture was divided into four functions, namely, agricultural products supply, social security, culture and leisure, and ecological regulation function. By full consideration of cultural landscape, geographic location conditions and traffic factor, evaluation index system and model were built to analyze multifunctional spatial distribution rule and make clustering analysis. The result showed that 1) quantitative evaluation result can accurately reflect multifunctional spatial distribution law of agriculture in Shanghai and the distribution of various functions closely related to the natural condition, geographic location, traffic condition and economic development. 2) Agricultural multifunctional combinations of different streets were divided into five types: eco-structured development pattern, traditional agriculture development pattern, farming culture development pattern, cultural and leisure development pattern, balanced development pattern. Each pattern had corresponding development strategies. Radar analysis map of four agricultural multifunctional average evaluation values for towns of five agricultural multifunctional development patterns were constructed. Towns of eco-structured development pattern had almost no social security function. These patterns mainly located in the suburbs and there were almost no registered population engaged in agriculture. Radar map for towns of traditional agricultural development pattern showed that the agricultural products supply function was very high, and the quality grade of agricultural land in these towns was relatively high, because of the geographic location and traffic conditions, culture and leisure functions were not very high. Towns of traditional agricultural development pattern were suitable for developing traditional agriculture, improving the level of agricultural scale, agricultural production efficiency and agricultural product quality. Radar map for towns of farming cultural development pattern shows that the agricultural products supply function, culture and leisure function were all relatively high, but the ecological regulation function and the social security function were all at the medium level. The agricultural land proportion in these areas and the agricultural products supply function was relatively high. Towns of farming culture development pattern were suitable for developing large-scale agricultural production and small-scale agricultural workshops. Radar map for towns of cultural and leisure development pattern was close to those of agricultural culture development pattern, but its agricultural products supply function was obviously lower than those of farming culture development pattern. Radar map for towns of functional balanced development pattern showed that the supply function of agricultural products, social security, ecological regulation and cultural and leisure function were all at the middle level. These towns of functional balanced development pattern could select different combinations of four functions according to local situation and determine a more reasonable agricultural development pattern. The level of multi-functional development pattern was circular distribution, followed by cultural leisure, farming culture and traditional agricultural development pattern, while the eco-structured development pattern was interspersed in the cultural leisure development pattern. Five development patterns are highly correlated with planned agricultural and ecological functional zones. The spatial distribution law and development pattern of agricultural multi-function are according with actual situation of Shanghai. This study can provide references for guiding rational use and protection of agricultural resource, also for rural development and revitalization in large city. [ABSTRACT FROM AUTHOR]

As for ihe problem of coordinating optimization between ihe automatic guided vehicles (AGV) and ihe double-trolley quay cranes ( QG) in ihe automated container terminals ( ACT) , this paper was based on ihe actual layoul and loading and unloading technology of Shanghai Yangshan Port Fourth project. Il took ihe lolai lask completion time as objective function considering ihe condition of dual cycle. Il established and used a double-trolley quay crane and AGV model with time window constraints to calculate ihe practical example by using ihe genetic algorithm. The sensitivity analysis verifies ihe validity of ihe model and ihe algorithm, and tests ihe validity of ihe genetic algorithm parameter setting. The results show that this method can help improve ihe operating efficiency of automated container terminals, reduce ihe container al port time and improve ihe terminal competitiveness. [ABSTRACT FROM AUTHOR]

Technological innovation is a strategic support to improving productivity and overall national strength. As a main source of the technology and knowledge innovation, colleges have duty to promote the deep integration of technology and economy through the creative scientific management and the transformation of scientific and technological achievements. Although the state promulgated the newly revised law of promoting the transformation of scientific and technological achievements in 2015, colleges still face some difficulties and problems in the transformation of scientific and technological achievements. Taking a college in Shanghai as an example, this paper analyzes the current situation of the transformation of scientific and technological achievements in universities and the main problems in the transformation work, and puts forward that through changing the research management systems, reforming evaluation and incentive mechanisms, constructing the special transformation facilitating agency, strengthening the market collaborative and interdisciplinary talents cultivation to open up the transformation channel and improve transformation efficiency. Colleges can realize the integration of technology and economy, and the connection of the chain of innovation. [ABSTRACT FROM AUTHOR]

Shanghai has entered a stage of post-industrialization development, in which its development is increasingly constrained by resource and environmental limitations. The state has requested new development in Shanghai, while concurrently strengthening ecological civilization construction there. In this context, the overall planning of land use revision is important in the transformation of urban development. First, this paper presents an analysis of current development and the challenges that Shanghai faces. Next is an elaboration on current planning and spatial management innovation trends and requirements from the ecological civilization construction, the global urban construction experience, and spatial planning reform. Finally, an introduction is presented that explores the new round of the Shanghai overall land use plan, including such topics as strategic transformation, spatial practice, and implementation strengthening. [ABSTRACT FROM AUTHOR]

In social network analysis (SNA), centrality and centralization are two pointer variables of structure position, and power for measuring a person or team in the network, is also two key index to describe power. Paper analyzed the relation of power and relationship in complex projects organization, and method of power quantification, i.e., six index definition and formula: Unit centrality, organization Centralization, unit betweenness centrality, organization betweenness centralization, unit closeness centrality and organization closeness centralization, to measure power of one unit and whole organization. Taking 2010 Shanghai Expo as a case, paper studied power definition distinguish between formal project organization structure and social network, and power compare in this two different views. As a conclusion, two kinds of power description and measuring above are inconsistent, but the latter result more corresponds to practice. [ABSTRACT FROM AUTHOR]

The city of Shanghai actively made an inventory of stock policy innovation mechanisms, promoting industrial structure and land use structure adjustments in a dual optimization. This was done in accordance with the State Council on structural adjustment, which promoted target transformation, and was in accordance with the Ministry of Land and Resources. This policy was designed to promote the redevelopment of inefficient urban lands, and represents a new form of land use development according to new industrial policies. This paper includes a discussion of: (1) revitalizing the stock from the industrial policy, (2) the main content of the policy, (3) the four aspects of the supporting policies that improve the policy outlook and enhance the main approach to make an inventory of the stock policy, and (4) the effectiveness of the implementation in Shanghai city. A policy is also introduced here to: (1) make an inventory of the stock of the core content, (2) support the construction of an innovation center, (3) explore the nation’s industrial policy convergence, and (4) inventory the land of Shanghai city. [ABSTRACT FROM AUTHOR]

This paper aims to explore whether the warrants in Shanghai and Shenzhen stock exchanges are redundant securities by empirical studies. To obtain an exact analysis, an appropriate sample is selected from August, 2005 to December, 2009, which can exclude the influence of reform of non-tradable shares, dilution effect of warrants and recreation effect of warrants on the return of underlying assets. Wild bootstrap event study methods were employed to overcome the problem of too small sample size, which were performed on abnormal return, cumulative abnormal return, and standardized cumulative abnormal return to test the magnitude effect. The results demonstrate no evidence of magnitude effect after the introduction of warrants. However, the evidence of sign effect is found: the percentage of negative average cumulative abnormal return was bigger than that of the positive average cumulative abnormal return after the introduction of warrants. We claim that this phenomenon is caused by the migration of radical agents from stock market to warrants market and the warrants in Shanghai and conclude that Shenzhen stock exchanges are not redundant securities. [ABSTRACT FROM AUTHOR]

In China, the "sandwich group" refers to those people who can neither afford private housing nor are covered by the public housing system. This group plays an important role in economic development and social stability, so the society as a whole will suffer if their housing demand is not met. This paper examines the real housing demand of the sandwich group based on a survey of 600 young white-collar employees in Shanghai conducted in July 2008. The hedonic price method is employed to measure the impact of the key characteristics of housing on housing prices. The distribution of the real housing demand of the Shanghai young sandwich group is then evaluated. This study analyses the gap between their housing demand and affordability. It also discusses policies for solving the housing problem of young people. [ABSTRACT FROM AUTHOR]