LISS 2022

With the rapid development of the semantic web, ontology engineering has become an important research field of the semantic web application. The domain ontology can realize the knowledge organization and representation. Presently, the research of domain ontology is mainly concentrated in the fields of medicine, geography, agriculture and biology. In terms of enterprise technological innovation ontology establishment and knowledge acquisition, the related work has not been carried out. Since there is no mature domain ontology in the field of enterprise technological innovation, this paper uses scientometric analysis to locate relevant literature and extracts key terms to form the basic domain terms set. A domain ontology related to construction aspects of enterprises technological innovation was established based on the basic term set and combined with the Seven-step ontology methodology, which provides support for semantic knowledge mining and acquisition.

Patients may not be able to correctly treat misdiagnosis, which may influence treatments. Patients with different regulatory focuses may view the misdiagnosis from different perspectives, so this study aims to explore the effects of patients’ regulatory focus on their compliance when there is a misdiagnosis, by establishing a research model. An online survey involving 345 valid responses was conducted to collect data, and partial least squares-structural equation modelling was adopted to analyze data and test hypotheses. Results indicate that after misdiagnosis, promotion focus had positive effects on patients’ trust in physicians and psychological safety, while had a negative effect on patients’ ego depletion. Prevention focus had positive effects on patients’ go depletion, and had negative effects on patients’ trust in physicians and psychological safety. Patients’ trust in physicians and psychological safety had positive effects on their compliance, but ego depletion had a negative effect on compliance. Findings suggest that: (1) hospitals and physicians should focus more on patients with a prevention focus; (2) physicians should recognize their mistakes accurately and make efforts to prove their professionalism to regain trust; (3) physicians can create a safe treatment environment to increase patients’ psychological safety, and help regulate patients to improve compliance.

Online health communities have emerged with the development of information and communication technology. Patients with chronic diseases can consult doctors in OHCs to achieve more efficient self-management. This study aims to explore the effects of OHCs acceptance on patient self-management based on the Unified Theory of Acceptance and Use of Technology. We conducted an online questionnaire survey of patients who have participated in OHCs and used partial least squares to analyze the data collected. The results show that performance expectancy and social influence positively affect patients’ continuous intention and health self-management behavior in OHCs. Moreover, the continuous intention has positively affected self-management behavior. However, effort expectancy has no significant positive effects on continuous intention and self-management behavior. Finally, the implications of theoretical and practical implications are discussed.

Translational medicine informatics (TMI) requires data integration on a massive scale to promote medical discovery. To accomplish this, the integration of data about drugs, diseases, targets, and genetics needs to happen at the physician point of care level via electronic health records and other care applications, but the legacy REST APIs and unstructured nature of current healthcare data poses a great challenge for this integration. Previously we have developed QL4POMR as an updated representation of the electronic healthcare record that uses GraphQL and the problem oriented medical record (POMR) to provide better structure and interoperability to healthcare data. We have now also developed a data layer using Gatsby and GraphQL gateways to pull medical data from outside sources into the QL4POMR ecosystem. In this paper, we outline how we leverage the QL4POMR data layer to apply TMI at the physician level EHR using information from trusted sources like DrugBank and OpenTargets. The TMI processes described can be applied to develop a wide range of microservices for physicians and patients.

Online health communities enhance physician–patient interactions through various social connections. Health-related posts have a significant influence on patients who are suffering from various symptoms. However, misinformation from the posts may impact patients’ decision-making. This paper proposes an agent-based model to explore the physician–patient interactions through health information sharing in online health communities. First, we introduce two agent types, namely influential users and ordinary users for a general online health community. Network parameters like numbers of users, followers, and fans as well as posting probability are considered in our model. Physician and patient agents are used to measure users’ average posts and support degrees for specific topics. Physician–patient interaction with factors in posting actions, social support, and random behaviors are also simulated. Finally, we run the above model on NetLogo. Taking the haodf.com website, a famous Chinese online health community, as an example, we examined the changes of the physician–patient interaction in different model parameter settings. The results demonstrate the feasibility of the NetLogo-based model in understanding the relationships between physicians and patients, and improving their health decision-making abilities in simulation.

Under the background of big data, the development of enterprise business and the growth of data lead to the characteristics of enterprise information system with complex business functions, large amount of data, and sparse connection between functions and data. Therefore, dividing the information system structure based on the link between functions and data can effectively improve the construction and operation efficiency of enterprise information systems and facilitate system maintenance and management. However, the traditional information system planning method only focuses on the planning of the functions, and cannot plan a reasonable data structure at the same time. In order to solve the above problems, this study proposes A Information System Function-Data Architecture Planning Method that can simultaneously complete the information system function-data system planning. It takes the Function-Data Subspace Partition Algorithm as the core, and realizes the information system structure partition from the perspective of function and data at the same time.

Scenario construction has received extensive attention in the field of the emergency management of railway traffic. In this paper, based on government documents and regulations, a scenario construction method is used to establish a similarity calculation model based on doc2vec, which solves the problem of quickly finding similar events as well as response strategies by dividing the scenario elements. The railway accidents were used as real-life examples to verify the result of the model. Finally, the historical scenarios are ranked according to the comprehensive similarity, which can effectively provide timely decision support for the related governments to respond the railway emergencies and accidents.

Coal is not only the basic energy but also the non-renewable energy, which plays an irreplaceable role in promoting the development of national economy. In recent years, China’s coal listed companies have been faced with increasingly severe internal and external business environment due to the influence of domestic traditional energy restriction policies and supply–demand contradictions. China’s coal industry has been in business difficulties since 2012, and entered an unprecedented “winter period” in 2015. Under the new normal of economy, the scientific and effective evaluation of their business performance is directly related to the quality and even the survival of such companies’ periodic business decisions. By selecting coal listed companies as the research object, this paper constructed an operating performance evaluation index system including 12 financial indicators from five angles. Principal component analysis and cluster analysis were used to comprehensively evaluate the operating performance of 16 coal listed companies from 2015 to 2017. The paper compares the solvency, profitability, operation and development capacity of 16 sample listed companies in the same period, thus providing reference for companies to formulate development policies and investors to invest rationally.

This paper adopted a case study approach to investigate the green mergers and acquisitions of a heavily polluting enterprises in order to understand the resource integration path after its acquisitions, and to reveal the heterogeneous impact mechanism of green mergers and acquisitions on enterprise performance. This paper introduces resource dependency theory and sustainable development theory to explore the motivation and process of enterprise mergers and acquisitions, and uses synergy theory to explore the results of enterprise mergers and acquisitions. The re-search findings indicated that the green mergers and acquisitions behavior of enterprises comes from the dual drive of external pressure and internal motivation. External pressure comes from the constraints of the external macro environment such as politics, economy, society and technology. The internal motivation comes from the green transformation and upgrading needs of enterprises. After green mergers and acquisitions, enterprise quickly acquired green technology, technical personnel, environmental protection equipment, market customers and management experience in the field of water treatment. It integrates resources by updating the concept of green development, strengthening the research and development of green resources, improving the management and operation of green production, and integrating the water industry chain. And the integrated resources were applied inside and outside the company. It optimizes traditional business production internally, provides environmental protection services externally, and finds new sources of profit for enterprises. The enterprise’s market performance, financial performance and environmental performance all have been improved after its mergers and acquisitions. Although this study focused on just one Chinese heavily polluting enterprise, it should still provide some insight for the better understanding of green mergers and acquisitions practices of heavily polluting enterprise s in general.

In order to reduce the carbon emissions generated by vehicles during the logistics distribution, a green vehicle routing problem with split simultaneously deliveries and pickups model is established, by introducing-in an approximate calculation method for the fuel consumption and carbon emissions. The objective is to find environment-friendly green paths, and to minimize the total costs. A three-stage approach is designed to solve the problem. The effectiveness and feasibility of the proposed model and algorithms are verified by numerical experiments. The experimental results show that vehicle speeds, vehicle load rates, travel distances and the number of routes greatly affect the fuel consumption and carbon emissions. Heterogeneous vehicles will decrease the vehicles used and route number, and increase the clustering flexibility. The experimental results also show that it would be necessary for new energy vehicles to enter the transportation market.

Nowadays, the external environment is turbulence and uncertainty for supply chain systems, the complexity and vulnerability of internal environment further enhance the possibility of supply chain disruption risk. How to deal with the disruption risk of supply chain has become a hot topic in theoretical and practical circles. This paper conducts coding analysis on 95 literatures based on the qualitative analysis of grounded theory, and proposes a whole process countermeasure model of supply chain disruption risk. Finally, this paper establishes a closed-loop control strategy of “beforehand prophylaxis-processing control-afterward treatment-beforehand prophylaxis”. Processing control is the key link to deal with the disruption risk of supply chain, and its core resolutions include dual-source procurement and information sharing. In addition, the research shows that the main strategies of beforehand prophylaxis are alternative supplier and inventory strategy; The afterward countermeasures include production decisions and reactive pricing strategies. This study provides scientific basis and theoretical guidance for enterprises to deal with the risk of supply chain disruption.

The outbreak of the COVID-19 and the rise of new retail models have promoted the vigorous development of the fresh e-commerce industry, but at the same time, some service quality problems have also been exposed. An accurate evaluation of the service quality of fresh e-commerce under the new retail background can provide theoretical support for the improvement of the service quality of fresh e-commerce, and has a certain practical significance. In this study, we propose a hybrid evaluation model based on fuzzy AHP-entropy TOPSIS (technique for order preference by similarity to ideal solution) model. Specifically, referring to SERVQUAL model and the service characteristics of fresh food industry, this paper firstly constructs the initial evaluation index; Then, the principal component analysis is further applied to adjust it, and an evaluation index system consisting of 6 dimensions and 25 indicators is finally constructed. By introducing AHP and entropy weight method, the problem of index weight distribution of TOPSIS evaluation model is solved. Finally, the above AHP-entropy TOPSIS model is applied to analyze the service quality of six fresh food e-commerce companies, the strategies that can promote service quality of fresh e-commerce are also put forward based on the results.

For the current problems of cumbersome book data, low accuracy of book positioning and difficulty of readers to find books in traditional libraries, this paper proposes an adaptive k-nearest neighbor LANDMARC positioning algorithm. In the traditional LANDMARC indoor localization algorithm, the number of k reference tags is fixed, which will bring in the information of lousy reference tags and has the problem of low localization accuracy. In this paper, the k-value selection rule for the reference tag number is improved, and the improved LANDMARC algorithm with adaptive optimal k-nearest neighbors is proposed. In order to verify the effectiveness of the adaptive optimal k-nearest neighbor LANDMARC algorithm, the simulation of the improved LANDMARC algorithm before and after the improvement is carried out using MATLAB, and the simulation results show that the optimized LANDMARC algorithm can improve the localization accuracy by at most 25.9%. In order to verify the effectiveness of the adaptive optimal k-nearest neighbor LANDMARC algorithm, MATLAB is used to simulate the traditional LANDMARC algorithm and the improved LANDMARC algorithm. The simulation results show that the optimized LANDMARC algorithm has a maximum improvement of 25.9% in localization accuracy. The reliability of the improved algorithm has been significantly improved, which meets the library positioning requirements, promotes readers’ reading stickiness and improves their reading experience, and helps to promote reading for all better.

Supply chain intellectual property securitization is an effective attempt to solve the financing problems of supply chain SMEs. However, supply chain intellectual property securitization also faces great risks. Based on the risk of the underlying asset pool and the design of the transaction structure, this paper studies the Asset Management Service Agreement signed by the manager and the original stakeholder under the background of the moral hazard of the original stakeholder. It is found that in the case of moral hazard of original stakeholders, the incentive mechanism is more effective than punishment for risk control of underlying assets. In the face of different risk aversion of managers, the incentive and punishment costs to ensure the success of intellectual property securitization can be calculated and the optimal service agreement can be designed. The research of this paper is helpful to the risk management of supply chain intellectual property securitization and promote the development of supply chain intellectual property securitization.

China’s geographical location is unique, and natural calamities occur frequently. In 2021, a total of 107 million people suffered from various natural disasters, and the direct economic loss reaches as high as 334.02 billion yuan. As a result, dealing with emergencies is a significant burden for the government. Improving the timeliness of emergency logistics response is a critical strategy to safeguard the national economy and people’s livelihood in times of crisis. The important data in the field of emergency logistics is unstructured or poorly structured, and there is a shortage of key information in the sector. Worse, the “data-information-knowledge” dilemma has not been sufficiently transformed. A structured semantic knowledge base is referred to as a knowledge graph. Currently, knowledge graph technology is used in a variety of industries, including medical care, e-commerce, and so on. This research provides a decision framework for emergency logistics based on knowledge graph to realize the intelligence of emergency logistics response.

Enhancing people’s happiness and narrowing the inter-city differences in people’s happy living standards have become one of the important ways to achieve common prosperity in China. The development of digital inclusive finance has also increasingly become an important means to serve the national strategy and improve the production and life of the masses, and is of great significance to enhance people’s happy living standards and promote common prosperity. Based on this, this paper constructs a people’s happiness living level index using sample data from 290 prefecture-level cities, conducts research and analysis on the impact of digital inclusive finance on people’s happiness living, and then conducts a cluster analysis study on the differentiated development of residents’ happiness living in each region of China. The results show that digital inclusive finance has an obvious positive impact on people’s happiness, but at the same time there is obvious regional heterogeneity, and the development of digital inclusive finance in economically developed cities has a more obvious impact on the happiness of residents. This paper broadens the economic effects of current research on digital inclusive finance to include the impact on people’s happiness in the research field. It provides a theoretical reference for the government to formulate policies and evaluate the implementation effects of policies as well as for financial institutions to improve the relevant systems and enhance their services, which is conducive to enhancing people’s happiness living standards and achieving common prosperity in all regions.

Employment is the biggest livelihood of the people, we must adhere to the employment-first strategy and active employment policy to achieve higher quality and fuller employment. This paper takes 30 provinces, autonomous regions and municipalities directly under the Central Government in China from 2011 to 2020 as the research sample. From the six dimensions of employment environment, employment status, employability, labor remuneration, social security, and labor relations, an evaluation system for measuring provincial employment quality is constructed. The employment quality index data is expressed in the form of space–time tensor, and four principal components are extracted by using the tensor-based principal component analysis method (modulo-k advocated quantitative analysis model). According to the coefficients of the four principal components of the employment quality data in each dimension, the comprehensive score of the employment quality of each province, autonomous region and municipality directly under the Central Government is calculated, and a visual analysis of the development and evolution process of the employment quality is carried out.

To reduce the pollution routing problem (PRP) generated by vehicles during logistics distribution, an approximate calculation method for fuel consumption and carbon emissions is introduced from the perspective of energy saving and emission reduction. Based on the vehicle routing problem with split simultaneous deliveries and pickups (VRPSPDP) model, a green VRPSPDP (G-VRPSPDP) model is established. The objective is to find environment-friendly green paths and minimize the total costs. A two-stage heuristic approach is designed to solve the problem. The effectiveness and feasibility of the proposed model and algorithms are verified using numerical experiments. The experimental results show that vehicle speeds, vehicle load rates, travel distances, and the number of routes greatly affect fuel consumption and carbon emissions. Multitype vehicles will decrease the number of vehicles used and route numbers and increase the clustering flexibility. The experimental results also show that it would be necessary for new energy vehicles to enter the transportation market.

With the development of information technology, more and more devices need to access the network. Contention-based Media Access Control (MAC) protocol can better adapt to the changes in network topology and is widely used without complex synchronization and control scheduling algorithms. In the system using contention-based MAC protocol, as the number of access channel nodes increases, severe conflicts and collisions occur when the nodes compete for the channel, leading to a severe decline in system resource efficiency. This paper proposes an improved contention-based MAC protocol DCF* based on IEEE 802.11 distributed coordination function(DCF), which reduces the number of competing nodes and effectively enhances the system resource efficiency by adding the information maintenance of neighbor nodes. The relationship between system delay, system resource efficiency, and back-off parameters, neighbor maintenance times of the two protocols are simulated under the same node scale, and the resource efficiency of the two protocols is analyzed and compared with the increase of the number of nodes in the network. The results show that the resource efficiency performance of the DCF* protocol is better than that of the DCF protocol.

Composable enterprise, as a new enterprise business capability (EBC) architecture, gains much attention in both software and business industry. This paper aims to study the enterprise business capability construction problem for enterprise digital transformation. A scale space model of packaged business capability (PBC) is established, to achieve data coordinate and management for the EBC construction process. Since CIOs always face the PBCs selection challenges when designing new business scenarios, we define the demand response list to obtain the PBCs structure improvement intention. Finally, an algorithm of enterprise business capability construction (EBC-VSDA) is put forward based on the variable-scale data analysis theory. Experiments in numerical dataset verify the accuracy and efficiency of the proposed EBC-VSDA method.

Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in wireless communication. However, with the development of 5G, an unprecedented number of users will try to access the network, leading to frequent retransmissions, collisions and waste of resources. Reasonable use of limited wireless resources is a big challenge. Non-orthogonal multiple access (NOMA) technology which allows multiple users to share the same resources for data transmission at the same time can significantly improve the system capacity. However, the data will be aliased at receiver. So the premise of realizing non-orthogonal is how to recover the effective data of each user from the aliased signal at the receiver. Successive interference cancellation (SIC), as a non-orthogonal demodulation technology, has received great attention in the industry and academia in recent years due to its simple structure and ease of engineering implementation. In this paper, the combination of OFDM system and SIC is our key research direction. This paper focuses on the BER of each user in the non-orthogonal SIC demodulation in the coding domain. We take both synchronous and quasi-synchronous conditions into consideration, using across-slot SIC demodulation to process aliased signals in the coding domain. In addition, when quasi-synchronization occurs under the influence of interference or noise, a new frame structure is designed to improve across-slot SIC demodulation performance which copies long preamble to the end of the whole data. The simulation results show that the BER performance of across-slot SIC based on OFDM system is improved after using the new frame structure.

This paper develops the coordination of supply and demand in the Fast-Moving Consumer Goods (FMCG) supply chain. By establishing a three-echelon supply chain model including a supplier, a distributor, and a retailer, the cost function of each member is analyzed on the basis of supply and demand, and the optimal strategy and Nash equilibrium strategy are calculated. An effective coordination mechanism is designed by comparing the optimal strategy with the Nash equilibrium strategy. Through the compensation mechanism, the supply chain can achieve the optimal scenario.

China's logistics industry started late, with the rapid development of the national economy, China's logistics industry maintains a fast growth rate, and the data generated is growing explosively. Data and knowledge are the basis for the deep integration of new-generation information technology and intelligent manufacturing. How to efficiently and accurately analyze multi-source and heterogeneous data in various systems of the logistics industry is a major problem faced by people in the logistics industry. The knowledge graph is a new type of accurate knowledge representation method, which has gradually begun to land in medical, financial, and other industries. For the characteristics of the logistics industry, this paper conducts special research on five aspects, including knowledge acquisition, knowledge processing, knowledge graphing, knowledge application, and knowledge reasoning. It aims to promote the application of the knowledge graph platform in the logistics industry and provide decision-making support for auxiliary event-driven and industry-important events.

With the rapid development of economy and revolution of information technology, energy internet enterprises emerge facilitating the strong integration of information technology and traditional energy infrastructure. Market competitiveness plays an important role for energy internet enterprises competing in the new era. In this paper, we initially analyze the status of market competitiveness of energy internet enterprises, and then taking the power grid enterprise as an example, we develop a market competitiveness evaluation index system for energy internet enterprises based on fuzzy comprehensive evaluation method. It can help energy internet enterprises evaluate their market competitiveness and improve their market value in the future.

Big data has become a social consensus to improve the modernization level of national governance, support the innovation of government management and social governance modes. This paper aims to strengthen the application of big data in the field of ecological environment. It monitors and analyzes abnormal production behaviors based on energy consumption data. Thus, it assists regulatory authorities to improve supervision efficiency and further protects the legitimate rights of legal enterprises, maintains market fairness, and help the country win the defense of blue sky. By participating in the 5th Digital China Innovation Contest(DCIC), whose topic is ‘Pollution Source Excessive Emission Research and Judgment’, we proposed a multi-feature model for pollution source excessive emission using LightGBM. The final F1 score of model is 0.61203524.

Beijing-Tianjin-Hebei (BTH) region coordinated and green development strategy has been upgraded to a national development strategy since 2014. The study of green patent cooperation among various innovation units in the BTH region can provide an empirical perspective for examining the effectiveness of the BTH coordinated development strategy. Based on the data of green invention patents in China Beijing-Tianjin-Hebei (BTH) region from 2010 to 2018, the social network analysis method is used to study the evolution of the overall network and core nodes from three aspects of time, cooperation agents and space. In terms of time dimension, the network center potential kept at a high level from 2013 to 2016, showing a certain aggregation effect, but gradually tended to be diversified after 2016. From 2010 to 2018, although the network density decreased and the network tended to be loose generally, a few enterprises and scientific research institutions in Beijing kept the core position of the network. In terms of spatial dimension, the green patent cooperation between BTH presented an unbalanced phenomenon as a whole, and Beijing occupied an absolute dominant position. Despite this, the cooperation among the three regions was increasing year by year, and the driving effect of Beijing as the leader was gradually emerging, indicating that the BTH coordinated development strategy is working. Based on the research of this paper, the scientific decision support for the allocation of resources and the formulation of relevant policies in BTH region can be provided.

Aiming at the problem of significant scheduling delay under the high node density of centralized ad hoc networks, this paper proposes a hybrid media access control (MAC) scheduling scheme of time division multiple access (TDMA) and code division multiple access (CDMA) named TDMA-CDMA. The author builds a scheduling delay model for centralized wireless multi-hop ad hoc networks, considering network parameters, protocol parameters, and channel parameters. The simulation results show that the scheme proposed in this paper can effectively improve the scheduling delay of the centralized ad hoc network. On this basis, we quantitatively analyze the influence of the critical parameters on the network scheduling delay.

In a field investigation of the outpatient pharmacy of one hospital in Chengdu, we found it bears problems including the poor working experience of pharmacists, long patient waiting time, and low service efficiency. One major reason is traced to the lack of a scientific scheduling method, therefore, in this study, we proposed an optimization scheduling method based on the data on prescriptions and pharmacist preferences. We built a data-driven pharmacist scheduling model to minimize the difference in work experience and intensity among pharmacists. Specifically, the objective is to minimize the variance of the weighted working time among pharmacists and to lower the work intensity and negative emotions of pharmacists. The case study demonstrates that this model has considerable advantages in strengthening the fairness concerns of pharmacists as well as their work experience. The results also show that the model has good properties regarding stability and robustness in varied circumstances. Through this optimization, we could improve the efficiency of pharmacists and the service quality of the pharmacy.

With the explosion of “metacmos”, the idea of various technologies enabling reality has gradually entered the public view. Whether it's digital twins, big data, or blockchain, they're essentially technology enabling the physical world. The “digital twins” of physical publications are constructed through digital twinning technology, followed by data storage. Not only can ensure that the book board type, the content is not damaged by the passage of time. It can also use the NFT blockchain technology to ensure that the “digital book” data itself will not be stolen or tampered with, with a verified identification certificate and an independent collection number. As the vision of virtual space life becomes more and more real, people collecting “precious physical books” from ancient times may gradually give way to the collection of “digital books” as a collection value due to the emergence of technology. It is foreseeable that the application of digital technology will bring a series of irreversible changes to the production, sales and service of the publishing industry.

In this paper, a spatiotemporal data model and efficient indexing method suitable for cloud service management is proposed, a unified and high-precision registering technology system for spatiotemporal reference of satellite, aerial and terrestrial multi-source sensing information is constructed and a multi-source spatiotemporal sensing information interaction interface standards and distribution mechanism scheme are developed to improve the accuracy and reliability of multi-source sensing data of power IOT, promote the sharing of power IOT data effectively, and provide the necessary conditions for the integrated application of multi-source spatiotemporal data in the core business scenarios of power grid.

In the context of the popularization of digital technology, more and more film and television works are troubled by the infringement of short video, and publishers have to rely on short video platforms for publicity while gaining losses. The infringement of short video needs to be regulated, but as a propaganda tool in the Internet era, short video does bring traffic to film and television works and platforms. It is difficult for copyright holders, short video platforms and copyright users to balance in the game of traffic and interests. Therefore, a balance should be sought between the three, and a win–win situation should be sought by breaking through the traditional business model and formulating reasonable game rules. This paper takes the infringement phenomenon of short video as the breakthrough point and analyzes it, and proposes to solve the problem of propaganda and protection of film and television works through short video platform by making reasonable game rules through technology and strengthening control.

Since the occurrence of the Corona Virus Disease 2019, relevant online public opinion has spread rapidly, which has had an important impact on social order. How to identify, prevent and control public opinion crisis of public health emergencies has become a practical problem that urgently needs to be studied. First data source comes from Weibo comments, comparing with the three models of Naive Bayesian Model, Support Vector Machine and Logistic Regression, Long Short Term Memory (LSTM) model based on word to vector (Word2vec) model is selected for emotion classification. Secondly, the evolution of public opinion is divided into three stages base to the Baidu search index, use visualization methods to study emotional tendencies at various stages and analyze the temporal and spatial laws of public opinion. At last, according to the evolution law and characteristics of public opinion in each stage, relevant optimization strategies are proposed. Research shows, the Word2Vec-LSTM model can effectively predict the emotional state of netizens; analyzes the law of public opinion evolution of public health emergencies, provide a basis for optimizing the network environment and preventing public opinion crisis.

The digital economy has flourished in China in recent years, and it has played an important role in stimulating consumption, stimulating investment, and creating jobs. At present, digital technology has become a key driving force to achieve high-quality economic development. With the rapid rise of emerging technologies represented by digitization and intelligence, the digital economy has achieved effective penetration into the traditional economy with its unique means of information transmission, promoted the reform of enterprise management concepts, and injected strong vitality into the innovation development of enterprises. This article focuses on the relationship between the digital economy and enterprise innovation, explores the impact of the digital economy on enterprise innovation, and analyzes its impact mechanism from the perspective of financing constraints. Based on the data of China's A-share listed companies from 2014 to 2020, regression analysis and mediation effect model are applied to empirical research, and heterogeneity analysis is carried out for different industries, regions and enterprise types. The research results show that the digital economy can significantly promote enterprise innovation, and financing constraints play an intermediary role. The digital economy can alleviate financing constraints thereby provide vitality for enterprise innovation. The digital economy has a more significant role in promoting the innovation of non-state-owned enterprises and large enterprises, and has a greater role in driving innovation in enterprises in the eastern and central regions and enterprises in the primary industry. The research enriches the literature on the digital economy and enterprise innovation, providing theoretical support for the necessity of developing the digital economy, which has implications for the high-quality development of the digital economy and the enhancement of enterprise innovation capabilities.

Taking the academic postgraduates majoring in business administration in Beijing Union University as an example, and an innovation education system is proposed based on the main line of “accumulation of knowledge of innovative methods—improvement of innovative quality—cultivation of innovative ability”. There is a stepwise path to enhance the innovation ability of graduate students based on science and technology competitions int this article. A curriculum system to enhance the innovation ability of graduate students with science and technology competitions as the “second classroom” is constructed, and it is to enhance the innovation ability of graduate students.

There are a lot of conflicts and arguments in land requisitions in China these years. Such as the right land requisition to be abused, the interests of farmers were harmed. The efficiency of factors allocation was lost too. It is undoubted that the current requisition system should be reformed eagerly. However, it is very complicated to improve the system. The Chinese governments have adopted the reforms of land requisition policies. There are quite different opinions on the reforms in China, such as the direction, approaches and steps of the reforms in this field. The US is the most developed country in the world. There are relatively advanced policies in this field too. The regime of land requisition of the US seems a bit ideal. Therefore, learning from the US land management experience, we can get beneficial inspiration and reference from the US. It will be helpful to the reform of China’s land requisition system. But we cannot copy the US system directly, because of the quite different background and tasks between the two countries. The Chinese regimes need focus on more issues than that in the US. For example, how to keep the balance between industrialization and urbanization and security of food, how to protect the environment and the land resource. My research will compare the land requisition policies between China and the US. Then it will analyze the advantages and disadvantages of the policies in China. Furthermore, it will compare the background and relative conditions between the two countries. Moreover, it will analyze what we should learn from the US, what is the right direction and approaches of the reforms in this field in China. At last, it will give some advice on the land requisition reform in China. For example, Chinese government should set a quota market, in which the national government sells the quota of converting agricultural land to commercial land. In this way, the market mechanism can be more efficient than that the local government monopolies the supply of land. The land requisition will not be abused too. Furthermore, the land requisition compensation standard will be increased. Therefore the owners can get obviously more compensation of land requisitions. It can help millions of farmers to become richer than before.

The development of shipping logistics is inseparable from financial support. Shipping financial derivatives is one of the important means to avoid risks in the shipping market. China shipping derivatives trading starts relatively late. This paper studies the market effectiveness of China coastal coal shipping derivatives with Wildbootstrap variance ratio test and other empirical method and provides a theoretical reference for shipping companies. The result shows the China coastal coal shipping derivatives market is not efficient in the past six years, but it can achieve weak form efficiency in the long run.

China's community-based aged care services are under immense pressure due to an aging population. Increasing the capacity of community aged care services is helpful for preserving older citizens’ lives and fostering steady societal advancement. Many academics have studied how to enhance the supply chain for elderly care services because China's community care sector is still in its infancy. However, there is a gap in the research on improving the supply chain and ultimately the improve the elderly services by enhancing the satisfaction from the elder. Therefore, in order to fill this gap, this paper looks at elderly satisfaction. This paper uses community D in Beijing as the research object and uses the kano model and AHP analysis to identify optimum service indicators to improve the service supply chain and enhance service capacity in community D through improving the service supply chain. This article provides a new way for improving the capacity of community elderly care services by optimizing the service supply chain in terms of enhancing the satisfaction of the elderly.

International auto supply chain can be influenced by various policies, among which the tariff and dual-credit policies (DCP) play key roles. In order to explore the production channel in four cases under the two policies, a game-theoretical model consisting of a two-echelon auto supply chain and the government is proposed. The government pursues social welfare maximization, while the automakers and dealers are profit-driven. In the four cases, the optimal tariffs and pricing decisions are calculated. Threshold policies to ensure profitability for automakers and dealers are also introduced. Finally, the influence of different channel structures on the optimal solutions and the optimal channel strategy are obtained with numerical analysis. The results show that the optimal tariff with only new energy vehicles (NEV) production at home (case E) is always smaller than that with NEV and fuel vehicle (FV) production abroad (case T). Only when the production cost gap between NEV and FV exceeds a certain threshold, will the optimal tariff with only FV production at home (case F) be the smallest. Furthermore, there exists a certain threshold of credit ratio to influence the trend of profits and social welfare respectively. The market environment with higher environmental awareness can decrease the negative effect of DCP. The numerical analysis further indicates that the social-welfare-maximizing government does not impose tariffs that exceed the optimal tariff, and the government can receive sub-optimal social welfare when case E reaches equilibrium.

During the 14th Five-Year Plan period, China will promote national reading as an important task for public libraries at all levels. However, in the process of reading promotion, public libraries have some problems, such as limited content supply, uneven allocation of resources, insufficient development ability, and unable to meet the reading demand. Digital Twin library can be assigned to transform and upgrade the public library, using digital twin technology to strengthen the library published high quality content supply, optimizing the resources distribution of basic reading, improving the reading conditions of public places, ensuring basic reading needs of grassroots groups, thus further solve the public library reading promotion problem, promote nationwide reading activity.