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The purpose of this study is to develop a new approach for simulating the ion flow field with the floating conductors based on the existing inversion method.

The space charge keeps charging the floating conductors until the dynamic balance is reached. The corresponding floating potential boundary condition is linearized as the combination of the equipotential constraints and natural boundary condition, which can be directly imposed in the inversion process.

The numerical results demonstrate that the modified inversion algorithm performs well in the ion flow field with the floating conductors and the floating potential converges within five steps’ iterations. The proposed approach is applied to investigate the effect of the grounded line to the floating conductors in the practical high voltage direct current (HVDC) transmission lines.

The modified inverse algorithm provides a general way to deal with the Kapzov hypothesis and the floating boundary condition simultaneously within one loop, which can be applied to the multiphysics systems with different kinds of irregular boundary conditions.

The purpose of this paper is to explore more agile and effective learning processes that help identify potentially high-performing staff during workplace training.

To test the efficacy of the learning-oriented assessment (LOA) process in workplace training, a pharmaceutical sales organization implemented an online training over three months that was modeled with the LOA process. During work hours, employees within the organization took two tests (one before and after training) as well as participated in training with essential work-related content, where they were given problem sets and scenarios to complete that would vary based on their responses. Their assessment scores, formative learning behaviors and quarterly revenue were recorded to determine the effects of the training.

The outcome of this study supported the theory that the LOA model would facilitate the acquisition and application of knowledge differentially between employees of the organization, and this knowledge would serve to improve the performance of the employees to the extent that it increased revenue.

This study was a field experiment that did not allow for the control of possible confounds. However, the real-world real people outcomes provide novel insights on best practices in workplace training.

The findings of this study showed the short-term effectiveness of the LOA process in professional knowledge acquisition and application in relevant skills that increase organizational revenue.

This study provides an applied understanding on the applicability of the LOA process in workplace learning and training which has not been previously investigated.

The purpose of this paper is to investigate the explosive performance and explosion damage mechanism of T-beam bridge structure.

On the basis of the existing specification, two T-beam bridge models were designed and fabricated. Test specimens of different explosive dosage and different blast height were carried out. The mechanical process, failure mode, blast damage model, damage identification mechanism and blast evolution law and quantitative evaluation were taken into account.

The results revealed that the web plate fracture failure is the key to the unstable failure of the whole T-beam bridge. The explosion failure phenomenon and blast damage evaluation criterion of RC T-beam bridge was divided into five stages: the original cracks stage of concrete material (D = 0 ∼ 0.1), the fractures initiation stage of concrete material (D = 0.1 ∼ 0.3), the stable expansion stage of cracks in concrete material (D = 0.3 ∼ 0.55), the unstable expansion stage of cracks in concrete material (D = 0.55 ∼ 0.8), the explosion fracture of steel bars and the overall instability and damage of the bridge (D = 0.8 ∼ 1.0), which can also be described as basically intact, slight damage, moderate damage, severe damage and collapsed.

The research result will provide basis for the antiknock evaluation and damage repair technical specifications of the RC T-beam bridge.

The research results of damage evaluation serve as a basis for damage repair and reinforcement of bridge structures after explosion.

Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news articles to users when browsing news on online media platforms.

A Collaborative Semantic Topic Modeling (CSTM) method and an ensemble model (EM) are proposed to predict user preferences based on the combination of matrix factorization with articles’ semantic latent topics derived from word embedding and latent topic modeling. The proposed EM further integrates an online interest adjustment (OIA) mechanism to adjust users’ online recommendation lists based on their current news browsing.

This study evaluated the proposed approach using offline experiments, as well as an online evaluation on an existing online media platform. The evaluation shows that the proposed method can improve the recommendation quality and achieve better performance than other recommendation methods can. The online evaluation also shows that integrating the proposed method with OIA can improve the click-through rate for online news recommendation.

The novel CSTM and EM combined with OIA are proposed for news recommendation. The proposed novel recommendation system can improve the click-through rate of online news recommendations, thus increasing online media platforms’ commercial value.

Sensing coverage is a critical issue in sensor network deployments. The paper aims to propose a novel scheme to maintain the sensing coverage in sensor networks, which is termed coverage‐aware self‐scheduling (CASS).

The paper describes a generic unifying framework to incorporate different connectivity and coverage maintenance schemes. Simulations are carried out under the framework by integrating CASS with an existing connectivity maintenance scheme ‐ the low‐energy adaptive clustering hierarchy.

Different from the existing work on coverage maintenance, CASS probabilistically schedules sensing activities according to the sensor's contribution to the sensing coverage of the whole sensor network. CASS reduces the number of active sensors to maintain certain coverage. Besides the sensing coverage, the connectivity of the network topologies is required for the purpose of communicating among sensors to collect sensing data. Simulation results show that CASS can considerably improve the energy efficiency of sensing coverage with low communication and computation overhead.

The paper shows that CASS is designed to allow sensors with higher coverage contribution to have more chance to sense.

To study and validate the relationship between the development of Chinese non‐state‐owned enterprise (Chinese non‐SOE), and cultivation of scientific and technological competence empirically.

Correlation analysis in SPSS is used to analyze the correlation between Chinese non‐SOE and cultivation of scientific and technological competence based on the statistic data released by China Statistical Bureau from 1987 to 2005. Furthermore, their relationship is validated by means of Granger causality test in Eviews 3.0.

This paper finds serial GDP of Chinese non‐SOE is a first difference stationary, while serial total funds of S&T activities of Chinese non‐SOE is a second difference stationary. After they are adjusted to be difference stationary, we find that there is not only a positive correlation, but also a bilateral Granger causality between the two variables.

From the point of view of a practitioner engaging in China trade, this study suggested that when all level governmental departments and all Chinese non‐SOE establish economic development strategies and policies for cultivating scientific and technological competence, the interaction relationship must be taken into consideration in order to avoid negative impact on the sustainable development of Chinese non‐SOE.

This study provides reference and benchmark to Chinese non‐SOE's development and will help to enhance its international competence.

The melamine milk scandal caused a crisis of confidence in food containing dairy products. The purpose of this paper is to explore the determinants of precautionary behaviour to avoid food containing dairy products among Taiwanese college students.

Of the total respondents selected using a multistage cluster sampling plan, 1,213 respondents completed the questionnaire.

The survey results showed that subjective norms, attitude, perceived behavioural control, attention to news, and perceived credibility of information are significantly associated with the intention to take precautionary behaviour.

The paper developed a modified theory of planned behaviour (TPB) that focused on attention and perceived credibility of milk scandal‐related information as additional determinants of precautionary behaviour to avoid food containing dairy products. The inclusion of attention and perceived credibility of information constructs enabled a better model fit than that of the TPB model.

This paper aims to reveal how different types of events and top management teams' (TMTs’) cognitive frames affect the generation of breakthrough innovations.

Drawing on the event system theory and upper echelon theory, this study chose a Chinese manufacturing enterprise as the case firm and conducted an exploratory single-case study to unpack how breakthrough innovation generates over time.

By conducting the in-depth case analysis, the study revealed that firms do not produce breakthrough innovation in the catch-up stage and parallel-running stage but achieve it in the leading stage. It also indicated that when facing proactive events in the catch-up stage, TMTs often adopt a contracted lens, being manifested as consistency orientation, less elastic organizational identity and narrower competitive boundaries. In addition, they tend to adopt a contracted lens when facing reactive and proactive events in the parallel-running stage. In the face of reactive and proactive events in the leading stage, they are more inclined to adopt an expanded lens, being manifested as a coexistence orientation, more elastic organizational identity and wider competitive boundaries.

First, by untangling how TMT's cognitive frame functions in breakthrough innovations, this paper provides a micro-foundation for producing breakthrough innovations and deepens the understanding of upper echelon theory by considering the cognitive dimension of TMTs. Second, by teasing out several typical events experienced by the firm, this paper is the first attempt to reveal how events affect the generation of breakthrough innovation. Third, the work extends the application of the event system theory in technological innovation. It also provides insightful implications for promoting breakthrough innovations by considering the role of proactive and reactive events a firm experiences and TMT's perceptions.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.