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The purpose of this paper is to improve the D* algorithm which has been used usually in robotics for mobile robot navigation in unknown or dynamic environments.

First, the model of 2D workspace with some obstacles is expressed in regularity grids. The optimal path is planned by using the improved D* algorithm by searching in the neighbor grid cells in 16 directions. It makes the robot that the smallest turning angle drops to π/8. The robot moving angle discrete precision is raised and the unnecessary cost of path planning is reduced so the robot motion path is smoother. Then, the improved D* algorithm is simulated in MOBOTSIM software environment and is tested by the WiRobotX80 mobile robot.

To search in the neighbor grid cells in 16 directions instead of eight directions by using D* algorithms for path planning.

The map should be expressed in regularity grids.

The improved D* algorithm is effective and it can result in a higher quality path than the conventional D* algorithm at the same map environment.

Digital literacy has become a widely studied topic for connecting people, participation in government and public affairs. It encourages library professionals to train students and effectively acquire, preserve and disseminate knowledge. Academic libraries involve using digital technology improved the students’ level of digital literacy and technological skills. This paper aims to understand the students’ technological competence in using database resources and searching for online information. In addition, to evaluate the training contents and designated instructors on digital literacy education, the study also focuses on digitally exposed students’ learning behavior, the library management and students’ academic interaction on new technological trends.

This study uses a quantitative method for which primary data were collected from university students using a structured research questionnaire. Through targeted random sampling techniques, 1,500 printed questionnaires were distributed among students, and 1,266 (84.4%) responses were received. The authors applied descriptive statistics to analyze the demographic information of male and female students. The statistical technique Chi-square test (χ²) was applied using SPSS to determine the association between variables. Moreover, Bonferroni correction for the new a value [modified = 0.05/number of possible comparisons/analysis for each question shown in Tables (II-IX)] was also used to avoid a family-wise error.

The results inferred a strong association between students’ technological skill with using digital tools, utilization of database resources and browsing networked information on the Web. The association between universities in terms of recruiting designated instructors on digital literacy education, introducing ICT based curriculum and the association between library management in maintaining a regular training program on digital literacy demonstrated a negative association. Besides, the findings disclosed that student’s digital exposure is not the forcing factor in developing technological competence, but found to be a more encouraging factor. It was also concluded that library technological involvement significantly improves student technology-based learning skills.

The results obtained after the analyzed data may help library management in providing long-term strategy for improving digital literacy education and training for students in the effective utilization of technology for better academic performance and social integration.

The study was based on quantitative methods using a questionnaire. Extensive database coverage and digital literacy skills based on coach input can improve student performance and academic quality.

The purpose of this paper is to investigate the impact of native Chinese R&D team directors’ differential leadership on team performance, so as to understand whether and how the directors’ differential leadership impacts team conflict, whether and how team conflict impacts new product development performance of the R&D team and whether team conflict plays full mediation on the relationship between directors’ differential leadership and new product development performance.

A literature review on differential leadership and team conflict provided the model and hypothesis. Two-wave data collected from 103 directors and 344 subordinates from 103 R&D teams of high-tech enterprises from China’s Pearl River Delta Area were used as empirical study samples. Hierarchical multiple regression analysis was conducted to test the model and hypothesis.

First, the team director’s differential leadership would cause significant team relationship conflict and team task conflict in the R&D team. Second, team relationship conflict and team task conflict would produce significantly bad new product development performance in the R&D team. Third, team relationship conflict would significantly mediate the relationship between the team director’s differential leadership and the team’s new product development performance.

To yield broader conclusions and to show to that the results can be replicated in other areas or in other types of organizations, further empirical research should expand the sampling by choosing high-tech enterprises from Beijing and Shanghai that have strong innovative abilities. Moreover, to extend the differential leadership theory, few more related variables of consequences, such as team communication, team cooperation and team knowledge share, should be included in future studies.

In general, the native Chinese R&D department director needs to try their best to avoid the use of differential leadership style. In addition, reasonable incentive measures, promotion mechanisms and fair team work culture are needed so as to reduce the negative impact from the director’s differential leadership.

The paper is original in its investigation on how Chinese indigenous organizational factor – differential leadership – influences the R&D team’s conflict and new product development performance, and provides theoretical contribution and managerial implications for the R&D team management.

Hospital information system (HIS) can be examined as a vital factor for developing the quality of health care and cost managing. There exists abundant literature on HISs, but implementation-based literature of HIS is rare, typically about progressive countries. However, a study that can comprehensively review published articles is scarce. Therefore, this paper aims to examine the systematic and comprehensive study of HIS in developed countries. Together, the benefits and harms relevant to HIS’s different mechanisms have been considered, and the fundamental challenges of them are addressed to design more efficient HIS in the future.

HIS has been used globally for numerous years and is now being used in a wide area. HIS is broadly used in clinical settings. Information technology (IT) and information system have been suggested as a required piece to solve the health-care-related issues. Hence, to improve HIS’s ability, this paper conducted a review method concentratating on research related to HIS until 2019. A total of 21 papers were recognized and examined as principal research for the summary.

The authors found that HIS can help in reduction of medical mistakes, enhancement doctors’ performance and increase in the quality of the care provided. HIS management can be used to provide better health-care services. Therefore, HIS must be sensible and use clear structures. The authors conclude that, generally, with an increase in awareness, acceptability and the need for HIS worldwide, there will be more strategies and approaches available.

First, this paper provides an outline of the status of HIS. Second, it identifies some distinct research gaps that could be worth studying. Some flawless work may be removed because of applying some filters to select the original articles. Surveying all the papers on the topic of HIS is impossible, too.

Design and sustainability of HIS is still a big issue for most developing countries, despite its wide usage in the developed countries. The technology is changing rapidly, so the field should be reviewed regularly. This paper suggests a suitable framework that will guide HIS in the local conditions of developing countries.

The government will be assisted by the suggested solving ways in its performance and design of electronic health-care projects.

The study brings the viewpoints on the state of HIS mechanisms in developing countries. The paper’s results can offer visions into future research requirements. By providing comparative information and analyzing the current growths in this area, this study will support researchers and professionals to understand the progress in HIS mechanisms better.

The Qingcheng County, where the ancient city wall is located, has rich regional cultural heritage. This ancient city wall is an important symbol for exhibiting the regional historical culture of Qingcheng. However, urban expansionary construction activities, environment chaos, and other issues have led to the destruction of the main part of the Qingcheng Ancient City Wall. Previous strategies for historical and cultural heritage Preservation planning emphasize rigidity and disregard resilience in protecting cultural heritage and the environment. On the basis of an analysis of the built environment of the Qingcheng Ancient City Wall, this study gains insights into the three aspects, namely, land use, road traffic, and municipal and disaster prevention in frastructure of the old city proper where the ancient city wall is located. A planning strategy that integrates an ordered control of land development, highly efficient and compound road traffic, synergetic municipal administration, and sound disaster-preventing infrastructure is formed according to cognitive results.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

Previous research has yielded mixed results on the relationship between consumer perception and purchase intention towards organic food products. Although the prior literature has widely applied planned behaviour theory, using a single theoretical approach often provides limited understanding of organic food consumption. This study builds upon consumer perception and social cognitive theories to examine the effects of perceived food healthiness and environmental consciousness on the purchase intention of organic drinking products. The current research also assesses the mediating role of consumer extrinsic motivation and moderating role of corporate social responsibility (CSR) beliefs in these effects.

A survey method was applied to collect data from 606 consumers from different food retailers in Vietnam. Data were analysed using multivariate analysis techniques, such as structural equation modelling and bootstrap analysis.

Results of hypothesis testing support the predictive ability of perception and social cognitive theories in explaining consumers' perceptions, motivation and behavioural intention towards organic drinking products. Furthermore, results provide evidence for the moderating effect of CSR beliefs on the relationship between consumer extrinsic motivation and purchase intention.

This study may be amongst the first that explains consumption of organic drinking products from the perspectives of consumer perception and social cognitive theories. It provides a unique research model that explains the influence of perceived food healthiness and environmental consciousness on purchase intention of organic drinking products with the mediating role of consumer extrinsic motivation and moderating role of CSR beliefs. The current research provides fresh insights into the consumption of organic drinking products in an emerging market based on a mediated moderation mechanism, which has been limited in the prior literature.

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise.

This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary optimization and image reconstruction are performed alternately. Two patch-based sparsity, namely, square-patch sparsity and column-patch sparsity, are discussed and compared with the global sparsity.

Both simulation and experimental results indicate that the patch based sparsity method can improve the quality of image reconstruction and tolerate a relatively high level of noise in the measured voltages.

EIT image is reconstructed based on patch-based sparse representation. Square-patch sparsity and column-patch sparsity are proposed and compared. Sparse dictionary optimization and image reconstruction are performed alternately. The new method tolerates a relatively high level of noise in measured voltages.

With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and the social climate of China.

This study examines 97 severe corruption cases of high-ranking officials in China, which occurred between 2012 and 2015. As this insinuates that both institutional and social corruption are major problems in China, the analysis delves into multiple facts of corruption, including different types, four primary underlying causes, and suggestions regarding the implementation of three significant governmental shifts that focus on investigation, prevention tactics and legal regulations.

China’s corruption is not only individual-based but also it has developed into institutional corruption and social corruption. Besides human nature and instinct, the causes of corruption can be organised into four categories, namely, social customs, social transitions, institutional designs and institutional operations. For the removed high-ranking officials, the formation of interest chains was an important underlying cause behind their corruption.

This study makes a significant contribution to the literature because this study provides a well-rounded approach to a complex issue by highlighting the significance of democracy and the rule of law as ways to regulate human behaviour to combat future corruption.