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Spatiotemporal Evolution and Linkage Analysis of Mutton Price in Xinjiang

Journal of Systems Science and Information 2024年

作者： Yulin YANG Jian XU Lean YU 1.school of Economics and Management, university of Chinese Academy of Sciences 2.Business school, Sichuan university 3.school of Business, Shenzhen Institute of Technology school of Economics and Management University of Chinese Academy of Sciences Business school Sichuan University school of Business Shenzhen Institute of Technology

The mutton industry plays a pivotal role in the animal husbandry industry of Xinjiang Uygur Autonomous Region. To better monitor the volatility movement and risk warning of mutton price, the fluctuation characteristics of mutton prices and the future trend of prices are analyzed systematically. On the one hand, the Hodrick Prescott(HP) filter method is used to analyze the longterm trends and cyclical characteristics of mutton prices in Xinjiang and explored the spatial evolution characteristics of mutton price fluctuations in various regions of Xinjiang. On the other hand, the Threshold Auto-Regressive(TAR) model is used to analyze the linkage relationship between mutton prices and the prices of other livestock products. The empirical results show that(1) the overall volatility of mutton price in Xinjiang is high, showing a trend of rising first, then falling and then rising from the temporal perspective.(2) At the regional level, the price in the south is higher than that of the north, showing a decreasing trend from south to north on the whole from the spatial viewpoint.(3) From the linkage relationship perspective, mutton and beef are complementary in the short term,but they are substitutes each other in the long term. This paper explores the characteristics of mutton price fluctuations in Xinjiang from the single time series of mutton prices and the linkage with other livestock products, which provides a reliable basis for the monitoring and risk warning of mutton price fluctuation.

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Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm

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Journal of Systems Science & Complexity 2024年

作者： LIANG Shu ZHANG Lei WEI Yiheng LIU Yemo 1.Department of Control Science and Engineering, Tongji university 2.Shanghai Research Institute for Intelligent Autonomous Systems 3.school of Mathematics, Southeast university 4.beijing Aerospace Automatic Control Institute Department of Control Science and Engineering Tongji University Shanghai Research Institute for Intelligent Autonomous Systems school of Mathematics Southeast University beijing Aerospace Automatic Control Institute

In this paper, the authors consider distributed convex optimization over hierarchical networks. The authors exploit the hierarchical architecture to design specialized distributed algorithms so that the complexity can be reduced compared with that of non-hierarchically distributed *** this end, the authors use local agents to process local functions in the same manner as other distributed algorithms that take advantage of multiple agents' computing resources. Moreover, the authors use pseudocenters to directly integrate lower-level agents' computation results in each iteration step and then share the outcomes through the higher-level network formed by pseudocenters. The authors prove that the complexity of the proposed algorithm exponentially decreases with respect to the total number of pseudocenters. To support the proposed decomposition-composition method for agents and pseudocenters, the authors develop a class of operators. These operators are generalizations of the widely-used subgradient based operator and the proximal operator and can be used in distributed convex optimization. Additionally, these operators are closed with respect to the addition and composition operations; thus, they are suitable to guide hierarchically distributed design and analysis. Furthermore,these operators make the algorithm flexible since agents with different local functions can adopt suitable operators to simplify their calculations. Finally, numerical examples also illustrate the effectiveness of the method.

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Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching

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Journal of Systems Science & Complexity 2024年

作者： FU Jiali CAI Fengjing WU Jinran ZHAO Shangrui WANG You-Gan 1.College of Mathematics and Physics, Wenzhou university 2.Institute for Positive Psychology and Education, Australian Catholic university 3.school of Science, Wuhan university of Technology 4.school of Mathematics and Physics, The university of Queensland College of Mathematics and Physics Wenzhou University Institute for Positive Psychology and Education Australian Catholic University school of Science Wuhan University of Technology school of Mathematics and Physics The University of Queensland

The transmission of inflation is a widespread occurrence, and managing inflationary pressures is a crucial macroeconomic challenge. Although inflation is a typical macroeconomic variable,its contemporaneous and lagged causal relationships have not been thoroughly investigated, which could result in missing important policy insights. The Bayesian graph vector autoregression(BGVAR)model can identify contemporaneous and lagged causal relationships among economic variables, but it lacks practical research on inflationary inflation. To account for the structural transformation in the inflation transmission process, the authors propose a Bayesian graph vector autoregressive model with Markov switching(MS-BGVAR), which considers both regime switching and contemporaneous causality among macroeconomic variables. The proposed study focuses on analyzing the dynamics of inflation transmission relationships among G7 countries under different regimes, as these countries represent developed nations. The authors use inflation data from 1971–2019, which shows two distinct inflation regimes within the sample period. The authors conduct simulation experiments to generate moderately dimensional simulated data for both regimes and indicators, demonstrating the theoretical reliability of the proposed model in accurately identifying graph structures. Finally, the authors apply the proposed model to identify structural breaks and causal transmission relationships in the inflation transmission process of G7 economies, demonstrating that the proposed model has significant economic significance and good explanatory power in the selected target countries.

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Study on Green Residential Space Design

IJLAI Transactions on Science and Engineering

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IJLAI Transactions on Science and Engineering 2024年第1期2卷 32-37页

作者： Yu Jiang Shenyang normal university No.253 Huanghe North Street Shenyang 110034China

With the ever-changing nature,green ecology has become an international trend of ***,the green ecological design of residential space has become the main melody of people’s *** always implement the concept of ecological and environmental protection in the design process,attach importance to the ecological effect of residential space,carry out reasonable budget and use of environmentally friendly decorative materials,reduce the waste of materials,save money and save resources at the same time,and protect the *** the same time,people began to put their hopes on the residential space design,which made the green residential space design began to *** the bold exploration and practice of designers,the design of green residential space will be endowed with more distinctive characteristics and unique *** from the concept of green design,this paper explores the method of green space design through typical analysis.

关键词： Green Residential space Haze

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A column-shared histogramming TDC with pixel-to-pixel coincidence detection and compact analog counters for Flash LiDAR sensor

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Science China(Information Sciences) 2024年

作者： Haoran WU Kaiming NIE Jiangtao XU Qinglong LIN Yingying JIAO 1.school of Microelectronics, Tianjin university 2.Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology

In recent years, Flash LiDAR sensors based on direct timeof-flight(DToF) have been playing an increasingly important role in various 3D imaging fields. In order to perform a histogram on the chip to reduce the data rate, it is inevitable to use a large-size histogramming time-to-digital converter(hT DC) in a Flash LiDAR sensor. However, a large-size hT DC limits the spatial resolution of the sensor.

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Recommendation Method for Contrastive Enhancement of Neighborhood Information

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Computers, Materials & Continua 2024年第1期78卷 453-472页

作者： Hairong Wang beijing Zhou Lisi Zhang He Ma school of Computer Science and Engineering North Minzu UniversityNingxia750021China

Knowledge graph can assist in improving recommendation performance and is widely applied in various person-alized recommendation ***,existing knowledge-aware recommendation methods face challenges such as weak user-item interaction supervisory signals and noise in the knowledge *** tackle these issues,this paper proposes a neighbor information contrast-enhanced recommendation method by adding subtle noise to construct contrast views and employing contrastive learning to strengthen supervisory signals and reduce knowledge ***,first,this paper adopts heterogeneous propagation and knowledge-aware attention networks to obtain multi-order neighbor embedding of users and items,mining the high-order neighbor informa-tion of users and ***,in the neighbor information,this paper introduces weak noise following a uniform distribution to construct neighbor contrast views,effectively reducing the time overhead of view *** paper then performs contrastive learning between neighbor views to promote the uniformity of view information,adjusting the neighbor structure,and achieving the goal of reducing the knowledge noise in the knowledge ***,this paper introduces multi-task learning to mitigate the problem of weak supervisory *** validate the effectiveness of our method,experiments are conducted on theMovieLens-1M,MovieLens-20M,Book-Crossing,and Last-FM *** results showthat compared to the best baselines,our method shows significant improvements in AUC and F1.

关键词： Contrastive learning knowledge graph recommendation method

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花间堂·朱雀里,南京,江苏,中国

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世界建筑 2024年第4期 62-63页

作者： Architectural Design Institute of Southeast university Co., Ltd. school of Architecture, Southeast university 东南大学建筑设计研究院有限公司东南大学建筑学院

本项目主要处理了3件事情:保护展示遗址(明永乐敕赐三官堂)、修缮利用历史建筑、改造新建沿街房屋。以新建三官堂的适应性再利用为核心,有机整合屋院,进退、取舍、藏露、阻达。外走车马喧闹,内坐桐台静好,地块的多重历史功用在现代生活... 详细信息

本项目主要处理了3件事情:保护展示遗址(明永乐敕赐三官堂)、修缮利用历史建筑、改造新建沿街房屋。以新建三官堂的适应性再利用为核心,有机整合屋院,进退、取舍、藏露、阻达。外走车马喧闹,内坐桐台静好,地块的多重历史功用在现代生活中恢复、演变、延续,同时也是小西湖城市保护与再生实践的重要样本。

关键词：明永乐保护展示小西湖三官堂历史功用有机整合

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Efficient estimation for additive hazards regression with bivariate current status data

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Science China Mathematics 2012年第4期55卷 763-774页

作者： TONG XingWei 1,,HU Tao 2 & SUN JianGuo 3,4 1 school of Mathematical Sciences,beijing normal university,beijing 100875,China 2.school of Mathematical Sciences,Capital normal university,beijing 100048,China 3 school of Mathematics,Jilin university,Changchun 130012,China 4 Department of statistics,university of Missouri,Columbia,MO 65211,USA school of Mathematical Sciences Beijing Normal University Beijing China school of Mathematical Sciences Capital Normal University Beijing China school of Mathematics Jilin University Changchun China Department of statistics University of Missouri Columbia USA

This paper discusses efficient estimation for the additive hazards regression model when only bi- variate current status data are *** status data occur in many fields including demographical studies and tumorigenicity experiments (Keiding,1991;Sun,2006) and several approaches have been proposed for the additive hazards model with univariate current status data (Lin et al.,1998;Martinussen and Scheike,2002).For bivariate data,in addition to facing the same problems as those with univariate data,one needs to deal with the association or correlation between two related failure time variables of *** this,we employ the copula model and an efficient estimation procedure is developed for *** studies are performed to evaluate the proposed estimates and suggest that the approach works well in practical *** illustrative example is provided.

关键词：高效添加剂模型估计状态数据危害二元回归 copula 时间变量

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On the Symmetry Classes of Functions

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Wuhan university Journal of Natural Sciences 2005年第5期10卷 813-816页

作者： ZHU Ping~1,2, FAN Yun~3 1. school of Mathematics and statistics, Wuhan university, Wuhan 430072, Hubei, China 2. school of Science, beijing university of Posts and Telecommunications, beijing 100876, China 3. school of Mathematics and statistics, Huazhong normal university, Wuhan 430079, Hubei, China school of Mathematics and statistics Wuhan University Wuhan Hubei China school of Science Beijing University of Posts and Telecommunications Beijing China school of Mathematics and statistics Huazhong Normal University Wuhan Hubei China

Let R be an integral domain of characteristic zero such that the corresponding group rings have block decompositions. We first prove that the submodule consisting of all the R-valued ξi-symmetric functions of several variables is a symmetry class, where ξi is any block character. Then we present a relationship among certain operators introduced for block character. Then we present a relationship among certain operators introduced for block characters. As a consequence, we obtain a decomposition of an arbitrary R-valued function of several variables. Finally, we describe the symmetry property of such summands and determine all the symmetry classes.

关键词： symmetry class strict symmetry class blockcharacter ξi-symmetric function block idempotent

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ENERGY FLOWS IN COMPLEX ECOLOGICAL SYSTEMS:A REVIEW

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Journal of Systems Science & Complexity 2009年第3期22卷 345-359页

作者： Jiang ZHANG Department of Systems Science,school of Management,beijing normal university,beijing 100875,China. Department of Systems Science School of Management Beijing Normal University Beijing China

Energy flow drives the complex systems to *** allometric scaling as the universalenergy flow pattern has been found in different scales of ecological *** reflects the generalpower law relationship between flow and *** underlying mechanisms of energy flow patterns areexplained as the branching transportation networks which can be regarded as the result of systematicoptimization of a biological target under *** flows in the ecological system may bemodelled by the food web model and population dynamics on the *** paper reviews thelatest progress on the energy flow patterns,explanatory models for the allometric scaling and modellingapproach of flow and network evolution dynamics in ***,the possibility of generalizingthese flow patterns,modelling approaches to other complex systems is discussed.

关键词：能量流动生态系统展望网络演进流动模式动力学模型系统进化法律关系

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