Impacts of information about COVID-19 on pig farmers'production willingness and behavior:Evidence from China

This paper examines the impacts of information about COVID-19 on pig farmers'production willingness by using endorsement experiments and follow-up surveys conducted in 2020 and 2021 in China.Our results show that,first,farmers were less willing to scale up production when they received information about COVID-19.The information in 2020 that the second wave of COVID-19 might occur without a vaccine reduced farmers'willingness to scale up by 13.4%,while the information in 2021 that COVID-19 might continue to spread despite the introduction of vaccine reduced farmers'willingness by 4.4%.Second,farmers whose production was affected by COVID-19 were considerably less willing to scale up,given the access to COVID-19 information.Third,farmers'production willingness can predict their actual production behavior.

Characterization of Small-Scale Farmers and Assessment of Their Access to Crop Production Information in Selected Counties of Kenya

Small-scale farming accounts for 78% of total agricultural production in Kenya and contributes to 23.5% of the country’s GDP. Their crop production activities are mostly rainfed subsistence with any surplus being sold to bring in some income. Timely decisions on farm practices such as farm preparation and planting are critical determinants of the seasonal outcomes. In Kenya, most small-scale farmers have no reliable source of information that would help them make timely and accurate decisions. County governments have extension officers who are mandated with giving farmers advisory services to farmers but they are not able to reach most farmers due to facilitation constraints. The mode and format of sharing information is also critical since it’s important to ensure that it’s timely, well-understood and usable. This study sought to assess access to geospatial derived and other crop production information by farmers in four selected counties of Kenya. Specific objectives were to determine the profile of small-scale farmers in terms of age, education and farm size;to determine the type of information that is made available to them by County and Sub-County extension officers including the format and mode of provision;and to determine if the information provided was useful in terms of accuracy, timeliness and adequacy. The results indicated that over 80% of the farmers were over 35 years of age and over 56% were male. Majority had attained primary education (34%) or secondary education (29%) and most farmers in all the counties grew maize (71%). Notably, fellow farmers were a source of information (71%) with the frequency of sharing information being mostly seasonal (37%) and when information was available (43%). Over 66% of interviewed farmers indicating that they faced challenges while using provided information. The results from the study are insightful and helpful in determining effective ways of providing farmers with useful information to ensure maximum benefits.

The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

To effectively evaluate the fuzziness of the market environment in product planning,a customer requirements analysis method based on multiple preference information is proposed.Firstly,decision-makers use a preferred information form to evaluate the importance of each customer requirement.Secondly,a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix.The ranking vector is then calculated using row and normalization methods,and the initial importance of customer requirements is obtained by aggregating the weights of decision members.Finally,the correction coefficients of initial importance and each demand are synthesized,and the importance of customer requirements is determined through normalization.The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.

An Ontology-Based Information Retrieval Model for Vegetables E-Commerce

With the rapid increment of the information on the web, traditional information retrieval based on the keywords is far from user＇s satisfaction in recall and precision. In order to improve the recall ratio and the precision radio of IR engine in the vegetables e-commerce, an information retrieval model based on the vegetables e-commerce ontology is presented in this paper, vegetables e-commerce ontology was constructed by gathering and the analyzing vegetables e-commerce domain information on the web. The vegetables e-commerce ontology is composed of some kinds of vegetable classes and hierarchy relationship of vegetables classes. In the process of information retrieval, domain ontology helps to index information and information inference. An ontology-based information retrieval model is implemented, and which has more functions than the keyword-based web information retrieval engines. The experiment results show that the recall ratio and the precision ratio of ontology-based information retrieval model are higher than that of the information retrieval engine based on keyword at a certain extent.

Who Is at Fault When It Comes to E-commerce Information Leaks?

According to data from the China E-commerce Complaint and Rights Safeguard Public Service Platform,information leaks are no more in the top 10 complaint issues,showing that e-commerce companies have made improvements to the protection of user information.However,as online purchasing further develops,how to prevent user information leaks and stealing of account information is

Research on Mobile-Based Logistics Information System for Hainan Agricultural Products

The current situation,information technology and problems of logistics for agricultural products were summarized.Some key technologies involved in mobilebased logistics information system for Hainan agricultural products were analyzed,such as information classification and retrieval,user information authentication via QR code,and logistics information services based on WEB and mobile devices.Emphasis was given to study the design idea,content,method for the system.

The Operation Mechanism of Agricultural Products Supply Chain and Profit Allocation Model in the Context of Asymmetric Information

The research performed analysis on causes of asymmetric information of agricultural product supply chain and made conclusion on operation mechanism and characteristics of supply chain based on asymmetric information. Finally, the research detailed profit sharing of agricultural product supply chain in the context of asymmetric information and proposed suggestions, providing references of pricing and profit sharing of supply chains of agricultural products.

Evolutionary game analysis of information service quality control of e-commerce platforms under information ecology

Due to the information asymmetry and imperfect supervision system,the problem of information service quality of e-commerce platforms is becoming increasingly prominent.Based on the perspective of information ecology,this paper constructs a three-party evolutionary game model including merchants,e-commerce platforms and governments,and analyzes the dynamic process of the threeparty game under bounded rationality,thereby characterizing the behavior and optimal strategies of information service quality control.We carry out numerical simulation using data of the Pinduoduo platform.The results show that the cost of each party,control strength of e-commerce platforms,proportion of margin deducted and other factors are important factors affecting the quality of information service;Only when the sum of the costs of passive management of e-commerce platforms,penalties for merchants,and the additional revenue generated from the active management exceeds the cost of the active management of the e-commerce platforms,it ensures effective control over the quality of information service in a stable market environment.Finally,some suggestions are put forward to optimize the e-commerce information service quality control.

Paths for Upgrade and Transformation of E-commerce of China's Fresh Agricultural Products Based on Whole Industry Supply Chain

China's e-commerce market scale of fresh agricultural products has reached 1000 billion yuan,and the prospect is bright.However,in the face of such problems as quality control,storage and distribution,and consumption habits,the fresh product e-commerce has great difficulty in development.Internet generates large data,and data are the resources and the core of the Internet and the foundation for survival and development of Internet.This paper analyzed the current situation of the development of fresh agricultural products,and discussed the plight of fresh product e-commerce in scale,profit,non-standard,and network environment.On the basis of the whole industry supply chain,it came up with paths for upgrade and transformation of the fresh product e-commerce with the big data as the core in the context of Internet environment.

Empirical Research on E-commerce to Increase the Scale of Agricultural Products Trade: Taking Guangxi Hezhou Zhengfeng Modern Agriculture Co.,Ltd. as an Example

Agriculture is the foundation of the national economy.The periodicity of agricultural product output and prices,the asymmetry of information between buyers and sellers,and the inherent characteristics of small scale,high cost,and low profit have caused slow sales,which greatly hurt the enthusiasm of farmers to develop production and endanger social stability.Constructing an informationized and commercialized trading platform and an information sharing platform through e-commerce and establishing related systems and supervision mechanisms will help to promote the rapid growth of agricultural product sales.Research has shown that in the field of agricultural circulation,e-commerce has a significant effect on increasing the scale of agricultural trade.

Research and application of real-time monitoring and early warning thresholds for multi-temporal agricultural products information

Monitoring and early warning is an important means to effectively prevent risks in agricultural production,consumption and price.In particular,with the change of modes of national administration against the background of big data,improving the capacity to monitor agricultural products is of great significance for macroeconomic decision-making.Agricultural product information early warning thresholds are the core of agricultural product monitoring and early warning.How to appropriately determine the early warning thresholds of multi-temporal agricultural product information is a key question to realize real-time and dynamic monitoring and early warning.Based on the theory of abnormal fluctuation of agricultural product information and the research of substantive impact on the society,this paper comprehensively discussed the methods to determine the thresholds of agricultural product information fluctuation in different time dimensions.Based on the data of the National Bureau of Statistics of China(NBSC)and survey data,this paper used a variety of statistical methods to determine the early warning thresholds of the production,consumption and prices of agricultural products.Combined with Delphi expert judgment correction method,it finally determined the early warning thresholds of agricultural product information in multiple time,and carried out early warning analysis on the fluctuation of agricultural product monitoring information in 2018.The results show that:(1)the daily,weekly and monthly monitoring and early warning thresholds of agricultural products play an important early warning role in monitoring abnormal fluctuations with agricultural products;(2)the multitemporal monitoring and early warning thresholds of agricultural product information identified by the research institute can provide effective early warning on current abnormal fluctuation of agricultural product information,provide a benchmarking standard for China's agricultural production,consumption and price monitoring and early warning at the national macro level,and further improve the application of China's agricultural product monitoring and early warning.

Willingness of Agricultural Workers to Conduct E-commerce of Agricultural Products Based on GEM Model

At present,the development of e-commerce is slow for agricultural products in China. Taking agricultural workers as the research object,this paper analyzed factors influencing the implementation of e-commerce of agricultural products. Besides,from the enterprise status,market conditions,and groundings,with the aid of the GEM( Groundings-Enterprises-Markets) model,it evaluated the factors influencing the development of e-commerce of agricultural products. Then,using SPSS software,it analyzed factors and came up with improvement recommendations. The results show that 59% of the respondents are willing to conduct e-commerce,and the status of the enterprises,market conditions and groundings are main factors influencing the implementation of e-commerce of agricultural products. Therefore,it is required to increase industrial concentration,promote cooperation between small and medium-sized enterprises( SMEs),and strengthen infrastructure construction,so as to promote the development of e-commerce of agricultural products.

Development mode of the E-commerce of eco-agriculture products in China

With the extensive use of the Internet and mobile technology, E-commerce in China has shown tremendous growth advantages and market potential, especially in promoting the access of eco-agriculture products. The E-commerce of agriculture products has shown diversification on the mainstay. "Three products, one indication"(pollution-free, green product, organic product, geographical indication) has becomes the primary character. Although the market of fresh products occupies a limited and meager profit, the blue sea effect has caused capital to enter into a large-scale development. It is very clearly shown after the analysis that the market of eco-agricultural E-commerce is vast and the expansionist policy for E-commerce environment is favorable. Meanwhile the required hardware and software of network in E-commerce are basically equipped with rapid development of service technology and strong driving force for innovation and development as well as an endless stream of new models and platforms. The whole phrase of development can be divided into five major stages. Through the analysis of five perspectives, such as platform, driver, participant, food supplier and Taobao, 16 types of agro-products E-commerce models and their different types of e-payment support systems are summarized, revealing the two major bottlenecks of development, namely the markets with limited share and low profit-making and the impact of cold chain services on E-commerce development. The thesis finally fortells the ten trends for the future development.

Side-Channel Leakage Analysis of Inner Product Masking

The Inner Product Masking(IPM)scheme has been shown to provide higher theoretical security guarantees than the BooleanMasking(BM).This scheme aims to increase the algebraic complexity of the coding to achieve a higher level of security.Some previous work unfolds when certain(adversarial and implementation)conditions are met,and we seek to complement these investigations by understanding what happens when these conditions deviate from their expected behaviour.In this paper,we investigate the security characteristics of IPM under different conditions.In adversarial condition,the security properties of first-order IPMs obtained through parametric characterization are preserved in the face of univariate and bivariate attacks.In implementation condition,we construct two new polynomial leakage functions to observe the nonlinear leakage of the IPM and connect the security order amplification to the nonlinear function.We observe that the security of IPMis affected by the degree and the linear component in the leakage function.In addition,the comparison experiments from the coefficients,signal-to-noise ratio(SNR)and the public parameter show that the security properties of the IPM are highly implementation-dependent.

Research on a Product Information Management System Facing Remanufacture Engineering

Remanufacture Engineering is an important characteristic and development trend of a manufacturing system in the 21st Century, and product information management is very important to Remanufacture Engineering. In this paper, we first compared traditional manufacturing and remanufacturing. Then, according to the features of Remanufacture Engineering, we analyzed the request of product information management system facing Remanufacture Engineering, and designed the system module. Finally, we built a kind of system structure of product information management facing Remanufacture Engineering and gave realization methods based on Web.

Information Technology Research on Productivity Evaluation of Gravel-mulched Field in Ningxia

The evaluation process of traditional land productivity is relatively complex,and the evaluation indices and results cannot display visually.With the development of geographic information system science,there are more and more studies on the GIS-based land productivity evaluation.GIS system can combine the evaluation model with information system software,realizing the visual display of all the evaluation factors.In this paper,with the development process of GIS-based management information system as references,the management information system for GIS-based gravel-mulched field productivity evaluation was designed and developed by combining with the SI model for gravel-mulched field productivity evaluation.The system was developed under VB environment,integrated with MapInfo,and the evaluation results could be shown visually in the system windows.

Study of Product Quality Information and Construction of Its Decision-Making Support System and Measures to Improve People's Quality Concept

The 21th century is a "quality century". Facing the s evere challenge about quality, all the developed industry countries attach impor tance to the research and education about quality project. With the deepening of the reform of China and it’s joining to WTO, many industries and enterprises wi ll be confronted with severe challenge while being offered the opportunity to wa lk up to the world. The arrival of knowledge economy and web time has provided t he space for the innovation on enterprise management. It has also provided new m ethod and model for enterprise management, that is online management based on th e internet. The online management use an enterprise model including the goal of the enterprise and the scheme to carry out it to represent the whole operational of all the work. The online management is constructed on the integration of exp ert system, database, software and other technical models. How to scientifically manage the entire system of product, precisely master the condition of quantity and quality and analyze the rules of the change of produc t quality in order to carry out the overall control of quality, guarantee the go od condition of product as well as improve product quality and prolong it’s se rvice life was discussed in this thesis. Based on the above research the thesis also discussed how to develop the study on product quality information and const ruct it’s decision making support system. The concrete measures to improve peopl e’s concept of quality are also raised. Based on the type analysis, scientific management of product quality information should start from dynamic information of quality, instruction information as we ll as the information about the use, maintain, management and conservation of pr oduct, and induce them and further propose a design scheme of feedback system on product quality information, and then set up the blueprint of the information s ystem of product quality. This thesis included 7 chapters:1.the type of quality information;2.the content of quality information;3.the construction of the se nsitive web for transfering information, and collecting and transfering quality information rapidly and effectively;4.the way and procedure to transfer informa tion;5.the construction of quality information library for all phases; 6.the d isposal of quality information;7.the decision making support system of the mana gement of quality information;8.attach importance to three key factors on impro ving quality concept.

基于GGInformer模型的金融数据特征提取及价格预测

为了解决金融时序预测任务中出现的特征参数冗余问题,用遗传算法对金融数据进行特征提取,通过三组对比实验进行验证分析。实验结果显示,加入了遗传算法的预测模型比未加入遗传算法的模型在三种数据集上的MSE均有所降低。最终结果证明遗传算法可以有效解决金融产品价格预测过程中的特征冗余问题。为了解决非线性的长序列金融数据预测效果差的问题,通过结合GRU网络和Informer模型构建了GGInformer模型来对金融产品价格进行预测。模型在三种外汇产品数据集上与其他四种预测基准方法进行了对比实验,实验结果与可视化分析表明,所提模型在金融产品交易价格的预测结果上有明显优势,可以提高预测的精度。

Feature-based and objectoriented product information model for welding structure

Product information model for welding structure plays an important role for the integration of welding CAD/CAPP/CAM. However, existing CAD modeling systems are not capable of providing enough information for subsequent manufacturing activities such as CAPP and CAM. A new design approach using feature technique and object oriented programming method is put forward in this paper in order to create the product information model of welding structure. With this approach, the product information model is able to effectively support computer aided welding process planning, fixturing, assembling, path planning of welding robot and other manufacturing activities. The feature classification and representing scheme of welding structure are discussed. A prototype system is developed based on feature and object oriented programming. Its structure and functions are given in detail.

Strategies for Information Dissemination of Quality and Safety Crisis of Tropical Agricultural Products

The quality and safety crisis of agricultural products on the one hand is the crisis of harm of agricultural products,and on the other hand is the crisis of information dissemination. This paper analyzed the characteristics of content of the quality and safety crisis information of tropical agricultural products. On the basis of these characteristics,it came up with strategies and recommendations for solving the problems of quality and safety of tropical agricultural products,including establishing the emergency response system for quality and safety crisis of tropical agricultural products,bringing into play the social responsibilities of scientific research institutions,and bringing into play authoritative effect of scientific experts.