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This study presented the experience of improving the nucleic acid sample collection and transportation service in response to the epidemic. The main purpose is that through intelligent path planning, combined with the time scheduling of sample points, the process of obtaining results to determine the state of COVID-19 patients could be speeding up.

The research optimized the process, including finding an optimal path to traverse all sample points in the hospital area via intelligent path planning method and standardizing the operation through the time sequence scheduling of each round of support staff to collect and send samples in the hospital area, so as to ensure the shortest time in each round. And the study examines these real-time experiments through retrospective examination.

The real-time experiments' data showed that the proposed path planning and scheduling model could provide a reliable reference for improving the efficiency of hospital logistics. Testing is a very important part of diagnosis and prompt results are essential. It shows the possibility of applying the shortest-path algorithms to optimize sample collection processes in the hospital and presents the case study that gives the expected outcomes of such a process.

The value of the study lies in the abstraction of a very practical and urgent problem into a TSP. Combining the ant colony algorithm with the genetic algorithm (ACAGA), the performance of path planning is improved. Under the intervention and guidance, the efficiency of hospital regional logistics planning was greatly improved, which may be of greater benefit to critical patients who must go through fever clinic during the epidemic. By detailing how to more rapidly obtain results through engineering method, the paper contributes ideas and plans for practitioners to use. The experience and lessons learned from Tongji Hospital are expected to provide guidance for supporting service measures in national public health infrastructure management and valuable reference for the development of hospitals in other countries or regions.

Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.

More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.

The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.

This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.

The purpose of this paper is to propose a fast, accurate and efficient algorithm for assessment of transient behavior of grounding grids buried in horizontal multilayered earth model considering soil ionization effect.

The purpose of this paper is to develop a numerical simulation method to calculate the lightning impulse response of the grounding grid buried in a horizontal multilayered earth model. The mathematical model about the hybrid method based on PI basic function belonging to time domain is proposed in the paper; the mode can precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering soil ionization effect. To increase computing efficiency, quasi-static complex image method (QSCIM) and its time-domain Green’s function closed form are introduced in the model.

The hybrid model is rather stable, with the respect to the number of elements used and with excellent convergence rate. In addition, because this mathematical model belongs to the time domain algorithm, it is very powerful for the simulation of soil ionization caused by high amplitude lightning current.

To increase computing efficiency, QSCIM and its time domain Green's function closed form are introduced in the model.

The mathematical model about the hybrid method based on PI basic function can precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering the soil ionization effect.

Considering the soil ionization effect, the simulation calculation of lightning impulse response of substation grounding grid buried in the actual horizontal multilayered earth can effectively support the scientific and efficient design of lightning protection performance of substation grounding grid.

The hybrid model in time domain is originally developed by the authors and used to precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering soil ionization effect. It is simple and very efficient and can easily be extended to arbitrary grounding configurations.

Despite the importance of the service sector in developed economies and the growth of foreign investments in this sector during the last decade, few studies have undertaken to empirically analyze the factors influencing entry mode choice. The special characteristics of the service sector increase the complexity of the analysis and, thus, traditional explanations of entry mode choice in manufacturing sectors may need to be complemented by other moderating influences. Based on 174 entry decisions of service firms, our results suggest the importance of including strategic variables and the specific nature of services to understand a complex phenomenon, which is not always associated just with efficiency and value-based considerations but also with strategic issues and industry characteristics.

In recent decades, related party transactions have been assailed by scholars and regulation authorities since related parties of a listed company may “tunnel” its resources, damaging the interests of other stakeholders. One kind of “tunneling” is capital impropriation, which is common but harmful in an emerging market where investor protection is weak. In contrast, a listed company may also impropriate capitals from its controlling business group or related parties reported as accrued liabilities in the financial statement of the listed company, which can be regarded as the “supporting hand” from related parties. Thus, the capital impropriation may be bidirectional. In fact, the capital impropriation is a financing behavior with low cost, and it can provide necessary working capital for some firms and reduce that for the other. Since the working capital is an important part of the firm's stock of capital, which can relax firms' short‐run financing constraints, it may significantly influence firms' capital investment behaviors. Therefore, how does the bilateral capital impropriation influences the capital investment of listed firms?

Using the data of Chinese listed firms in 2005 and 2006, this paper empirically investigates the effect of bidirectional capital impropriation on listed firms' capital investment efficiency.

Receivable items like accounting receivable or other accruals that related parties owe to the listed firms will reduce the capital expenditure of listed companies and reduce the sensitivity of investment‐cash flow relation. Actually, capital impropriation by listed firms may stimulate their capital investments and increase the sensitivity of investment‐cash since listed firms obtain capitals for future investments at a lower cost. In all, the bidirectional capital impropriation significantly affects the capital investment and sensitivity of investment‐cash flow of listed firms, and different direction of capital impropriation will lead to different investment efficiency. It should also be noted that capital impropriation is not necessarily something negative since it may sometimes reduce the overinvestment.

The paper provides more evidence to the capital investment of listed companies and identifies the factors influencing its efficiency from the perspective of bidirectional capital impropriation.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Since the outbreak of the COVID-19 pandemic, customers fear for their health when interacting with service providers. To mitigate this fear service providers are using safety signals directed to consumers and other stakeholders who make organizational assessments. The purpose of this article is to synthesize the range of safety signals in a framework that integrates signaling theory with servicescape elements so as to provide guidance for service providers to assist in their recovery.

The authors extracted examples of how service providers signal safety to their consumers that the risk of infection is low in exchanging with their service. These examples were taken from secondary data sources in the form of trade publications resulting from a systematic search and supplemented by an organic search.

In total 53 unique safety signals were identified and assigned to 24 different categories in our framework. Most of the signals fell into the default and sale independent category, followed by the default contingent revenue risking category.

This study builds on signaling theory and service literature to develop a framework of the range of safety signals currently in use by service providers and offers suggestions as to which are likely to be most effective. Further, a future research inquiry of safety signals is presented, which the authors believe has promise in assisting recovery in a post-pandemic world.

Nowadays advancement in acoustic technology can be explored with marine assets. The purpose of the paper is pervasive computing underwater target tracking has aroused military and civilian interest as a key component of ocean exploration. While many pervasive techniques are currently found in the literature, there is little published research on the effectiveness of these paradigms in the target tracking context.

The unscented Kalman filter (UKF) provides good results for bearing and elevation angles only tracking. Detailed methodology and mathematical modeling are carried out and used to analyze the performance of the filter based on the Monte Carlo simulation.

Due to the intricacy of maritime surroundings, tracking underwater targets using acoustic signals, without knowing the range parameter is difficult. The intention is to find out the solution in terms of standard deviation in a three-dimensional (3D) space.

A new method is found for the acceptance criteria for range, course, speed and pitch based on the standard deviation for bearing and elevation 3D target tracking using the unscented Kalman filter covariance matrix. In the Monte Carlo simulation, several scenarios are used and the results are shown.