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This paper aims to present a novel robotic system for airport pavement inspection tasks.

The cloud-edge-terminal-based distributed architecture is designed for the proposed robotic system. Then, the following three major parts are designed and deployed, respectively: Terminal: the wheeled-robot-based data collection system. Edge: remote monitoring and data analysis system. Cloud: shared database center of the inspection data and knowledge.

Validation and application results show that the proposed system satisfies the demands of automated airport pavement inspection tasks and saves the cost of manpower and time.

The proposed system provides a novel solution for the full process of airport pavement inspection. Compared with the traditional manual method, the robotic system can guarantee complete coverage and provide high-precision pavement inspection results with less time and labor costs.

This study aims to leverage inertial sensors via a walk test to associate kinematic variables with functional assessment results among walkable subjects with chronic stroke.

Adults with first-ever stroke survivors were recruited for this study. First, functional assessments were obtained by using Fugl–Meyer Assessment for lower extremity and Berg balance scales. A self-assembled inertial measurement system obtained walking variables from a walk test after being deployed on subjects’ affected limbs and lower back. The average walking speeds, average range of motion in the affected limbs and a new gait symmetry index were computed and correlated with the two functional assessment scales using Spearman’s rank correlation test.

The average walking speeds were moderately correlated with both Fugl–Meyer assessment scales (γ = 0.62, p < 0.01, n = 23) and Berg balance scales (γ = 0.68, p < 0.01, n = 23). After being modified by the subjects’ height, the new gait symmetry index revealed moderate negative correlations with the Fugl–Meyer assessment scales (γ = −0.51, p < 0.05) and Berg balance scales (γ = −0.52, p < 0.05). The other kinematics failed to correlate well with the functional scales.

Neuromotor and functional assessment results from inertial sensors can facilitate their application in telemonitoring and telerehabilitation.

The average walking speeds and modified gait symmetry index are valuable parameters for inertial sensors in clinical research to deduce neuromotor and functional assessment results. In addition, the lower back is the optimal location for the inertial sensors.

Breast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment selection and survival prediction models. However, unlike other types of cancer, breast cancer patients can have long survival rates. Therefore, the authors propose a novel two-level framework to provide clinical decision support for treatment selection contingent on survival prediction.

The first level classifies patients into different survival periods using machine learning algorithms. The second level has two models with different survival rates (five-year and ten-year). Thus, based on the classification results of the first level, the authors employed Bayesian networks (BNs) to infer the effect of treatment on survival in the second level.

The authors validated the proposed approach with electronic health record data from the TriNetX Research Network. For the first level, the authors obtained 85% accuracy in survival classification. For the second level, the authors found that the topology of BNs using Causal Minimum Message Length had the highest accuracy and area under the ROC curve for both models. Notably, treatment selection substantially impacted survival rates, implying the two-level approach better aided clinical decision support on treatment selection.

The authors have developed a reference tool for medical practitioners that supports treatment decisions and patient education to identify patient treatment preferences and to enhance patient healthcare.

Information carriers (including mass media and We-Media) play important roles in information diffusion on social networks. The purpose of this paper is to investigate changes in the dissemination of information combing with data analysis.

This work analyzed nearly 200 years of coverage of different information carriers during different periods of human society, from the period of only mouth-to-mouth communication to the period of modern society. Information diffusion models are built to illustrate how the information dynamic changes with time and combined box office data of several movies to predict the process of information diffusion. In addition, a metric is defined to identify which information would become news in the future.

Results show that with the development of information carriers, information spreads faster and wider nowadays. The correctness of the metric proposed has been validated.

The structure of social networks influences the dissemination of information. There are an enormous number of factors that influence the formation of hotspots.

The results and conclusion of this work will benefit by predicting the evolution of information carriers. The metric proposed will aid in searching hot news in the future.

This work may shed some light on a better understanding of information diffusion, spreading not only on social networks but also on the carriers used for the information spreading.

Playing exergames may resemble doing conventional exercise and thus has the potential to enhance users’ health. However, no study has yet examined whether and how a need for exercise impacts users’ intention to continuously play exergames, i.e. continuance intention and its antecedents. We developed a model grounded in the uses and gratifications theory (UGT) to address this issue.

We recruited 583 participants to play exergames and collected their psychological responses and physical information. Structural equation modeling (SEM) was used to test the hypotheses.

We found that health consciousness and perceived exercise benefits are positively related to a need for exercise, which is, in turn, positively related to continuance intention. Moreover, perceived exergame similarity with exercise strengthens the positive link between the need for exercise and continuance intention.

This is the first study using the UGT to explain the underlying mechanism linking health consciousness to continuance intention in the playing of exergames. In addition, we introduced the need for exercise as a novel construct in this study. Our findings provide insights to managers on incorporating health-related features into their exergame products to motivate users' engagement in playing exergames.

This study aims to explore how female leadership contributes to corporate innovation through a systematic literature review. The authors provide a framework based on empirical studies to provide a broader perspective of corporate innovation based on female leadership.

To understand the most recent developments in leadership, a thorough literature study is carried out to discover the antecedents of women’s leadership and their contribution to corporate innovation, with an emphasis on literature published between 2013 and 2022. An intensive research plan was developed, and 1,120 outcomes were obtained. Finally, 35 studies met the criteria for inclusion in the study. A comprehensive and systematic approach is followed, with the goal of not just summarizing current empirical studies on the subject, but also including an aspect of analytical critique besides organizational policies.

The findings show that organizations with female chief executive officers (CEOs) are more likely to innovate. When female CEOs come on board, organizations are more likely to engage in creative activities. Research also reveals that female CEOs who head organizations are more likely to engage in new and creative business practices that are environment friendly. Moreover, developing nations are encouraged to accelerate the adoption of structural transformation initiatives that would provide women with access to information and technologies.

This research is limited to literature published between 2013 and 2022.

It is important to select the organizational response to board female representation institutional logic to reflect the intended sort of performance. Organizational stakeholders were unfavorable to female leadership, implying that such perceptions harm women but benefit men. Prior research emphasizes distinctions in leadership effectiveness between males and females, diverting attention elsewhere from examining the reasons that generate differences among executives in organizations. For policymakers to promote more women in top positions based on female knowledge, skills and abilities (KSAs), they need to understand how firms deviate from traditional standards. In addition, it is crucial to pay attention to how male and female leaders are supported by their followers.

This research offers organizations a holistic view regarding female leadership and helps them understand their contribution in innovation.

In modern, dynamic and technological landscapes, female participation is one of the key aspects that corporates consider to sustain and drive growth. That is why, modern societies without women’s contribution to economic growth and innovation are deemed incomplete. The current study highlights their contribution to the economy. Literature also indicates that the presence of female leadership on boards impacts corporate innovation, as well as financial performance and contextual factors.c

The purpose of this paper is to study a new liquid-phase assisted texture treatment method to improve the tribological properties of 304 stainless steel.

Three groups of textured type (KY, KJ and YJ) were prepared on 304 stainless steel surface using laser circular and cross scanning method in air and liquid assisted condition. The surface morphology and element content of test samples were measured with scanning electron microscope, energy spectrum. Then, the tribological test was carried out using MWF-500 reciprocating friction and wear testing machine under dry and oil lubrication condition.

The experimental results showed that the textured surface of laser processing in air was obviously blackened, and the oxygen content was increased from 16.9% to 24%. These cases did not occur on liquid-assisted laser textured surface, which induced a better wettability and surface texture processing quality. For friction test, the friction coefficient of cross-scanning textured surface prepared in assisted liquid (YJ) was the smallest. It is reduced by 55% in oil lubrication case compared to the original surface (YS). The cross-scanning textured surface prepared in air (KJ) was a little worse in friction coefficient and a little better in wear quantity than the cross-scanning textured surface prepared in assisted liquid (YJ). It is indicated that the laser processing surface with assisted liquid has obvious advantages in surface texture quality and interfacial tribological property. The main reason is that the assisted liquid plays a role in cooling and protecting action of the machined surface. The bubbles, generated at the solid–liquid interface because of the laser heat effect, scatter the laser beam and carry out the processed melt meanwhile. The lubricating medium is easier to penetrate and store in the contact interfaces because of the higher surface textured performance and wettability.

The main contribution of this work is in providing a new surface texture processing method that has a better surface micropits quality and interfacial tribology regulation ability.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Considers the factors which influence Taiwanese decisions to buy Japanese or US refrigerators, basing the conclusions on the results of a survey of 586 respondents drawn from Taiwan’s four largest cities – Taipei, Kaoshiung, Taichung and Tainan. Describes how the questionnaires were constructed and pretested, and explains how the data was recorded (using a 5‐point Likert‐type scale) and analysed (using factor analysis and t‐tests). Tests particularly for cultural values of the Chinese, consumer ethnocentrism, openness to foreign culture, country image, and consumer sophistication. Finds that, despite the longer presence of Japanese goods in Taiwan, Japan’s proximity to Taiwan, and more cultural similarities between the Japanese and Taiwanese, Taiwanese consumers rate the USA’s country image factor higher than Japan’s, with consequent implications regarding intention to buy US goods. Recommends that US marketers build on their advantageous country image when they promote US appliances in foreign markets. Cautions against making too much of this snapshot data but concedes that further research into different foreign markets, different appliances, and with a longitudinal approach, would ascertain if findings are consistent with this survey, which has obvious benefits as new markets, such as China and India, open up to western goods and appliances.

Both foreign and local companies frequently name their brands in foreign language on the market of developing countries, and some of them choose to disclose the brands' country of origin to consumers. The purpose of this research is to investigate the joint effects between the practices of disclosing the actual country of origin of the brands and the language of the brand names on consumers' purchase intention for foreign brands and local brands in developing countries.

The proposed hypotheses were tested in two studies, namely an experiment and a field experimental survey, with stimuli from two product categories.

The results of the two empirical studies with Chinese participants consistently demonstrate that revealing the actual country of origin of the brands undermines consumers' purchase intention for local brands that use foreign brand names, but does not impact consumers' purchase intention for foreign brands that use local brand names.

This research first investigates the effects of adapting the brand names into local language of developing countries for brands from developed countries on consumers' purchase intention, which provides new insight into the literature on foreign branding and country of origin effects as well as practical implications for brand managers.