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The rational allocation and efficient utilization of land resources have become an important issue facing urban development, and the approval of construction land is the core link of land resource management, and its management efficiency is directly related to the effective use of land resources and the sustainability of urban development. This paper sorts out the relevant theories and practices of land use approval management, explores the analysis and evaluation process of land use approval management efficiency in megacities, constructs a comprehensive analysis and evaluation system for land use approval management efficiency, and conducts empirical research on the approval projects in Shanghai in 2023, extracts 86 projects from 9 approval units, and analyzes them by means of system comparison, database technology verification, and file review, and summarizes 30 items with a total of 360 specific approval problems based on the inspection results, integrates the results of many years of work practice, and summarizes 30 items with a total of 360 specific approval problems. This paper analyzes the serious deduction items and conducts research on the improvement path to adapt to the actual management of Shanghai, such as strengthening the application of the evaluation model for the efficiency of land use approval management, aiming to explore its impact on the standardized approval process, land use efficiency and sustainable urban development, and provide reference and enlightenment for the approval and supervision of other urban construction land. [ABSTRACT FROM AUTHOR]

Due to the diversified behavioral characteristics and regular pattern of moving objects, the trajectory data generated by these objects shows obvious uneven distribution feature in time and space, which may lead to worse performance for trajectory data indexing and querying. However, the existing trajectory data indexing methods rarely consider this problem. In this paper, a temporal-spatial distribution based indexing and querying method is proposed. In the method, Geohash code is introduced and pre-partitioned spatially by utilizing the temporal-spatial similarity of the trajectory data distribution. Then, we use the pre-partitioned Geohash code, partition number and the trajectory data timestamp to compose the index structure. With this index structure, a storage model based on HBase and a query algorithm based on Geohash partition are designed respectively. The empirical study using real trajectory dataset shows that the method improves the spatiotemporal query performance of trajectory data by comparing with the Extend_HGrid and ST-hash methods, and effectively reduces the number of sub-queries during query. [ABSTRACT FROM AUTHOR]

Currency mismatch has drawn attention of the scholars in the recent 20 years. Scholars have proposed lots of empirical measures of currency mismatch of bank that only focus on stock currency mismatch, which leads to some limitations in the conclusion. Based on this fact, this paper comes up with a new indicator of flow currency mismatch, which can be used to analyzing the cause of currency mismatch of bank deeply and dynamically. Then this paper gives an empirical analysis of the relationship between the currency mismatch and some economic variables using ADL model. The study shows that the proper depreciation of domestic currencies, appropriately expanding imports to reduce the trade surplus can effectively reduce the currency mismatch in China from the perspective of stock and the promotion of RMB internationalization can effectively reduce the currency mismatch in China from the perspective of flow. [ABSTRACT FROM AUTHOR]

The core content of deep cement mixing (DCM) technology is parameter matching. Because of its many parameters and complicated relationships among them, there is no systematic theory to explain this problem at present. Based on the problems encountered in the DCM construction of the third runway project of Hongkong Airport, the research work, research conclusions and empirical results were introduced in this paper, which can provide reference for the project or for further discussion by researchers. [ABSTRACT FROM AUTHOR]

Some well-known notions in univariate statistical analysis becomes misleading in the multivariate context,and have not been correctly understood by many researchers. One example is the relationship between the expected number of events with return periods greater than or equal to T year over a N year period with the ratio N/T. Additionally,in some empirical studies,the relationship between the joint return period of a hydrological multivariate event and the corresponding return periods of its marginal distributions were found and applied. However,there lacks a detailed derivation and interpretation of this relationship. In this paper,based on the GH copula,the relationships between the bivariate return period of an event and return periods of its corresponding marginal distributions was derived theoretically,as well as the relationship between the number of occurrences of bivariate events and their primary return periods at different degrees of correlation between the two marginal variables. The theoretically derived relationships in this study were tested with drought events in Kunming identified on SPI and SRI series with 56 years of monthly precipitation and runoff data. The results suggest that the correctness of drought multivariate return period analysis could not be supported by the closeness of the primary return period of an event and the average inter-arrival time of drought events more severe than the studied event. Future researchers also need to avoid using the maximum marginal return period to approximate the primary return period of an ‘and’ event when the two marginal variables only have a weak correlation. [ABSTRACT FROM AUTHOR]

Project Information Literacy (PIL) is a large-scale project surveying college students’ information literacy in America. It has lasted for eight years since 2008 and is still going on. Its research results have been promoted and applied widely among American universities. Compared to PIL. most Chinese surveys on college students’ information literacy tend to use similar methods and lack originality. Yet China’s library and information science community hasn't paid enough attention to PIL. This paper briefly introduces the eight research reports of PIL and compares them with Chinese surveys on the method, sample and content, in the hope of finding the characteristics and weaknesses of the latter and guiding the latter. [ABSTRACT FROM AUTHOR]

Online users' collective interests played an important role for analyzing the online social networks and personalized re commendations. The purpose was to introduce the information entropy to measure the diversity of the user interests. This paper empirically calculated the information entropy of the objects selected by the users with the same degree in both the MovieLens and Last. FM data sets. The results for the MovieLens datasets show that the interests of the small-degree and large-degree users were more centralized, while the interests of normal users were more diverse. However, the results for the Last. FM indicated that was the user degree was the greater, the users' interests were the more centralized. In addition, it proposed a null model to be compared with the empirical results. The results show that the diversity of the majority of users in the real datasets is higher than that in random cases. As a result, users' interests have a significant impact on users' behavioral patterns. [ABSTRACT FROM AUTHOR]