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City wall is an important symbol of ancient Chinese cities with unique geographical and cultural characteristics. Thus, the preservation of this historic landmark is considered significantly important. However, numerous residential construction activities and changes in ecological environment have destructed a great portion of the city walls in recent years. This study looks into the preservation of the ancient city walls from the systematic perspective and in line with the actual characteristics of Longdong Region to provide guideline measures for the protection and restoration of such landmark. Cognition and preservation are adopted extensively to investigate the specific situation of and the factors that influence the ancient city walls in this region. Preservation strategies for the city walls, including the “Axis-Point” system, planning control, and authenticity readability, are presented. The ancient city walls in Longdong Region can be preserved by protecting the entire region, the city, and the main wall body. The systematic method and preservation strategies at the “macro perspective,” “medium perspective” and “micro perspective” levels can solve the preservation problems of the ancient city walls in Longdong Region effectively.

Principals’ leadership has become a subversive activity that is carried out strategically to challenge and disrupt the status quo and resist policies and practices that are counterproductive to their work. The purpose of this paper is to reveal subversive tactics principals use in pursuit of justice and equity in schools and identify challenges and risks associated with their subversive leadership practices. Power tactics were used as a conceptual framework to guide the analysis of subversive activities by school principals.

This qualitative study focuses on 18 elementary and secondary school principals from six district school boards in the Metro Vancouver area who participated in the semi-structured interviews on their practices that epitomize different tactics in response to increasing demand and accountability.

The power tactics identified in this study illuminate many of the dilemmas principals face in their work and demonstrate the various ways principals exercise their political acumen to “act strategically to determine which tactics to use, when, and with whom.” In exercising ethics of subversion and critique, participants are more likely to use soft, rational, and bi/multilateral rather than hard, non-rational, and unilateral power tactics. Such tendency reveals their concern about causing relational harm and shows their strategic avoidance of direct confrontation.

Considering the limitations on the sample size and the research context, more research is needed to examine to what extent subversive practices are exercised and how they play out in different contexts.

The study shows that leadership involves upholding morals and values, even if this means having to use subversive practices to ensure inclusive, equitable, and just outcomes.

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.

The purpose of this paper is to examine the impact of media attention on corporate disaster relief.

The authors used a matched sample research design, which is considered more appropriate than a random sample design for studying events that have low-occurrence rates in general. For each donor firm in the Yushu earthquake, the authors matched the firm with a non-donor firm in the same industry and with a firm size of within ±30 percent of the total assets in the year prior to the year of the occurrence of the Yushu earthquake. Then, using the Baidu engine, which is the most popular Chinese search engine, the authors captured the online media attention to the donor firms and their disaster relief.

The authors found that media attention drove corporate disaster relief.

Although the authors highlighted the role of the media as an important stakeholder in influencing corporate disaster relief, the authors did not fully explore the media’s influence. Future research should delve more deeply into the impact of the tenor of media coverage on corporate disaster relief.

This study reveals that the media, a particularly powerful stakeholder, can be a corporate disaster relief driver in China.

With the increasingly collaborative nature of innovation and the expanding role of digital platforms on inter-firm collaboration, the purpose of this paper is to investigate the impacts of digital platforms on collaborative innovation capability (CIC) under conditions of two distinctive governance mechanisms. Furthermore, the competitive benefits of CIC at different levels of environmental uncertainty are examined to clarify the performance of collaborative innovation.

The research model is proposed based on dynamic capabilities theory, information technology (IT)-enabled organizational capability and governance mechanisms literature, and then validated by using partial least squares with data collected from 200 Chinese firms that engage in digital collaboration with their major channel distributors.

Empirical results show that the enabling effect of digital platforms capability on CIC is positively moderated by relational governance while negatively moderated by formal governance, and both governance mechanisms directly and positively influence CIC; the positive relationship between CIC and competitive performance is stronger for higher level of environmental uncertainty; and CIC is the key mediator converting digital platforms capability into competitive performance.

This study enriches the existing literatures in IT-innovation relationship by not only surfacing the interplay of digital platforms capability with two distinctive governance mechanisms in building CIC, but also clarifying the competitive benefits of CIC in an uncertain environment. Moreover, this study helps explain the controversial issue of the business value of IT capability by discovering the mediating role of CIC.

A robotic wheelchair system was designed to assist disabled people with disabilities to walk.

An anticipated sharing control strategy based on topological map is proposed in this paper, which is used to assist robotic wheelchairs to realize interactive navigation. Then, a robotic wheelchair navigation control system based on the brain-computer interface and topological map was designed and implemented.

In the field of robotic wheelchairs, the problems of poor use, narrow application range and low humanization are still not improved.

In the system, the topological map construction is not restricted by the environment structure, which helps to expand the scope of application; the shared control system can predict the users’ intention and replace the users’ decision to realize human-machine interactive navigation, which has higher security, robustness and comfort.

Drug repurposing involves the identification of new applications for existing drugs. Owing to the enormous rise in the costs of pharmaceutical R&D, several pharmaceutical companies are leveraging repurposing strategies. Parkinson's disease is the second most common neurodegenerative disorder worldwide, affecting approximately 1–2 percent of the human population older than 65 years. This study proposes a literature-based drug repurposing strategy in Parkinson's disease.

The literature-based drug repurposing strategy proposed herein combined natural language processing, network science and machine learning methods for analyzing unstructured text data and producing actional knowledge for drug repurposing. The approach comprised multiple computational components, including the extraction of biomedical entities and their relationships, knowledge graph construction, knowledge representation learning and machine learning-based prediction.

The proposed strategy was used to mine information pertaining to the mechanisms of disease treatment from known treatment relationships and predict drugs for repurposing against Parkinson's disease. The F1 score of the best-performing method was 0.97, indicating the effectiveness of the proposed approach. The study also presents experimental results obtained by combining the different components of the strategy.

The drug repurposing strategy proposed herein for Parkinson's disease is distinct from those existing in the literature in that the drug repurposing pipeline includes components of natural language processing, knowledge representation and machine learning for analyzing the scientific literature. The results of the study provide important and valuable information to researchers studying different aspects of Parkinson's disease.

This study aims to present a numerical study on the flow and heat transfer performance of a water-cooled tube with protrusions in different geometrical parameters.

A new type of enhanced heat exchanger tube is designed. Protrusions are formed on the inner surface of the tube by mechanical expansion, compression and other processing methods. A three-dimensional numerical symmetry model is established by ANSYS for studying the influence of protrusion distance, protrusion radius and protrusion arrangement on flow and heat transfer characteristics in turbulent flow.

The results show that the protrusions increase the heat transfer area and improve the heat transfer effect but also increase the flow resistance. Performance evaluation criteria (PEC) is applied to evaluate the flow and heat transfer characteristics of convex tubes. When adopting the aligned protrusions arrangement, the radius of 2 mm and distance of twice the protrusion radius is most heat transfer effect. The PEC of protrusion tubes with a staggered arrangement are higher than those in aligned arrangement, and the maximum value is 2.36 when Reynolds number is 12,000.

At present, most of the protrusion technology applications are based on the cold plate heat dissipation of electronic devices, and the flow path is rectangular. Convex tube heat exchanger is a high-efficiency heat exchanger, which uses convex tubes instead of smooth tubes in tubular heat exchangers to enhance heat transfer and widely used in petroleum, chemical, textile, oil refining and other industries.

The purpose of this paper is to use convolutional neural networks in order to solve the problem of the difficulty in the classification of cashmere and wool. To do the research, it proposes a low-dimensional strategy of using part-level features to enhance object-level features. The study aims to use computer version method to find out the most effective and robust method to manage the difficult task of cashmere and wool identification.

The authors try to get a coarse classification result and the initial weights of the model in the first step. The authors use the results of the first step and a Fast-RCNN method to extract part-level features in step 2. Finally, the authors mix the part-level features to enhance object-level features and classify the cashmere and wool images.

The paper finds that not only the texture is the key element of the cashmere and wool identification but also the image colors.

Most importantly, the paper finds that the part-level features can enhance object-level features in the fiber identification task. However, it does not work in contrast, and the strategy can be used in the similar fibers identifications.