Search results

As a short take-off and landing aircraft, FanWing has the capability of being driven under power a short distance from a parking space to the take-off area. The purpose of this paper is to design the take-off control system of FanWing and study the factors that influence the short take-off performance under control.

The force analysis of FanWing is studied in the take-off phase. Two take-off control methods are researched, and several factors that influence the short take-off performance are studied under control.

The elevator and fan wing control systems are designed. Although the vehicle load increases under the fan wing control, the fan wing control is not a recommended practice in the take-off phase for its sensitivity to the pitch angle command. The additional pitch-down moment has a significant influence on the control system and the short take-off performance that the barycenter variation of FanWing should be considered carefully.

The presented efforts provide a reference for the location of the center of gravity in designing FanWing. The traditional elevator control is more recommended than the fan wing control in the take-off phase.

This paper offers a valuable reference on the control system design of FanWing. It also proves that there is an additional pith-down moment that needs to be paid close attention to. Four factors that influence the short take-off performance are compared under control.

The purpose of this paper is to estimate the value of a statistical life (VSL) in China using the hedonic wage model, and to explore the regional difference in VSL within the country.

Using the hedonic wage regression, this paper estimates the compensating wage differential for incremental job mortality risk among Chinese workers. The implied VSL is derived for China and its different regions. The data is from the 2005 China inter‐census population survey, consisting of 1.3 million urban and rural workers. The authors also made important improvement in the model specification to explicitly address the missing variable issue in the previous studies.

The paper results indicate that the industry mortality risk has a significant impact on the wage rate. The implied VSL is 1.81 million RMB, a value substantially higher than previous estimates. The results also suggest a sizable urban‐rural difference, with the urban VSL being 4.3 times higher than the rural estimate. The strong urban‐rural inequality of income could be attributed to the segregation between the urban and rural labor markets.

The paper findings indicate the importance of reforming the current workers' compensation standard and improving the institutional environment, as well as enhancing the labor protection in the rural labor market.

This paper is the first attempt to estimate the value of life in China using the census based data. The paper results contribute to the growing literature in obtaining comparable VSL estimates in the developing countries.

This study extends the commitment-trust theory from the perspective of relationship marketing and explores its effect on purchase intention under the moderation of trust by investigating vloggers' relationship marketing in the context of social media.

The study employs a survey investigation with online questionnaires in China, and the hypotheses were tested using multiple regression analyses, with 319 valid consumer responses.

The findings reveal that the extended commitment-trust theory is applicable in the context of social media. Perceived relationship commitment, expertise, physical attractiveness, social attractiveness and self-disclosure play a significant role in predicting purchase intention. Relationship commitment proves to be a mediator between the antecedents and purchase intention. Trust shows a moderating effect on the antecedents and relationship commitment.

The study provides evidence of the importance of the above-mentioned antecedents in influencing viewers' relationship commitment to vloggers in the context of social media. The results contribute to the development of the commitment-trust theory and an understanding of the theory's underlying mechanisms. The result also provides further evidence of the effect of trust on relationship commitment.

The purpose of this study is to present a highly stretchable and flexible strain sensor with simple and low cost of fabrication process and excellent dynamic characteristics, which make it suitable for human motion monitoring under large strain and high frequency.

The strain sensor was fabricated using the rubber/latex polymer as elastic carrier and single-walled carbon nanotubes (SWCNTs)/carbon black (CB) as a synergistic conductive network. The rubber/latex polymer was pre-treated in naphtha and then soaked in SWCNTs/CB/silicon rubber composite solution. The strain sensing and other performance of the sensor were measured and human motion tracking applications were tried.

These strain sensors based on aforementioned materials display high stretchability (500 per cent), excellent flexibility, fast response (approximately 45 ms), low creep (3.1 per cent at 100 per cent strain), temperature and humidity independence, superior stability and reproducibility during approximately 5,000 stretch/release cycles. Furthermore, the authors used these composites as human motion sensors, effectively monitoring joint motion, indicating that the stretchable strain sensor based on the rubber/latex polymer and the synergetic effects of mixed SWCNTs and CB could have promising applications in flexible and wearable devices for human motion tracking.

This paper presents a low-cost and a new type of strain sensor with excellent performance that can open up new fields of applications in flexible, stretchable and wearable electronics, especially in human motion tracking applications where very large strain should be accommodated by the strain sensor.

This paper aims to enhance the machining accuracy of hybrid robots by treating the moving platform as the first joint of a serial robot for direct position measurement and integrating external grating sensors with motor encoders for real-time error compensation.

Initially, a spherical coordinate system is established using one linear and two circular grating sensors. This system enables direct acquisition of the moving platform’s position in the hybrid robot. Subsequently, during the coarse interpolation stage, the motor command for the next interpolation point is dynamically updated using error data from external grating sensors and motor encoders. Finally, fuzzy proportional integral derivative (PID) control is applied to maintain robot stability post-compensation.

Experiments were conducted on the TriMule-600 hybrid robot. The results indicate that the following errors of the five grating sensors are reduced by 94%, 93%, 80%, 75% and 88% respectively, after compensation. Using the fourth drive joint as an example, it was verified that fuzzy adaptive PID control performs better than traditional PID control.

The proposed online error compensation strategy significantly enhances the positional accuracy of the robot end, thereby improving the actual processing quality of the workpiece.

This method presents a technique for achieving online error compensation in hybrid robots, which promotes the advancement of the manufacturing industry.

This paper proposes a cost-effective and practical method for online error compensation in hybrid robots using grating sensors, which contributes to the advancement of hybrid robot technology.

COVID-19 is currently the most serious crisis facing the world, and scholars in the medical and social sciences are working to save lives and mitigate the societal effects of the pandemic. This global public health emergency requires interdisciplinary work to provide comprehensive insight into a rapidly changing situation. However, attempts to integrate the medical and social sciences have met several barriers. This paper aims to identify feasible research opportunities for interdisciplinary studies across tourism and public health regarding COVID-19.

This paper presents a critical review of the literature and generates corresponding conceptual and theoretical frameworks to provide an in-depth discussion.

Tourism-related issues of destination management policies and capital are addressed from an interdisciplinary perspective. The conclusions encourage interdisciplinary research into global health problems, which will promote tourism’s renaissance and sustainable development while enhancing social welfare.

This study focuses on integrating tourism and public health to offer stakeholders recommendations regarding destination management and tourism industry recovery amid COVID-19.

This paper represents a frontier study, critically uncovering a host of innovative interdisciplinary research directions and tourism-focused collaboration opportunities related to COVID-19.

新冠疫情是当今世界面对的最严重的危机, 医学和社会科学领域的学者们在共同努力, 拯救生命, 减轻疫情的社会影响。基于快速变化的形势, 这项全球突发的公共卫生事件亟需跨学科工作来进行全面的调查, 但目前医学和社会科学的融合存在一些阻碍因素。为了应对新冠疫情的爆发, 本文旨在探讨旅游与公共卫生跨学科合作的可行性和研究机会, 并总结潜在的研究主题和未来的研究议程。

本研究对文献进行了批判性的回顾, 并生成了相应的概念和理论框架, 以提供一个全面的, 深入的主题讨论。

研究结果从跨学科的角度讨论了旅游产业中的目的地管理、政策和资本问题。我们的结论鼓励对全球健康问题进行跨学科研究, 这将促进旅游业的复兴和可持续发展, 同时提高社会福利。

目前的研究重点是旅游研究和公共卫生的融合, 为利益攸关方提供关于在危机中目的地管理和旅游业复苏的建议。

本文是一项前沿研究, 批判性地、全面地确定了一系列与新冠疫情相关的旅游领域的跨学科研究方向和合作机会。

关键词：医学, 社会科学, 公共健康, 旅游管理, 跨学科研究, 新冠肺炎

文章类型： 研究型论文

Este trabajo presenta una revisión crítica de la literatura y genera los correspondientes marcos conceptuales y teóricos para proporcionar una discusión en profundidad.

El COVID-19 es actualmente la crisis más grave a la que se enfrenta el mundo, y los especialistas en ciencias médicas y sociales están trabajando para salvar vidas y mitigar los efectos sociales de la pandemia. Esta emergencia de salud pública mundial requiere un trabajo interdisciplinario para proporcionar una visión completa de una situación que cambia rápidamente. Sin embargo, los intentos de integrar las ciencias médicas y sociales han encontrado varios obstáculos. El objetivo de este artículo es identificar las oportunidades de investigación viables para los estudios interdisciplinares entre el turismo y la salud pública en relación con la COVID-19.

Las cuestiones relacionadas con el turismo en materia de gestión de destinos, políticas y capital se abordan desde una perspectiva interdisciplinar. Nuestras conclusiones alientan la investigación interdisciplinaria de los problemas de salud global, lo que promoverá el renacimiento del turismo y el desarrollo sostenible, al tiempo que aumentará el bienestar social.

Este estudio se centra en la integración del turismo y la salud pública para ofrecer a las partes interesadas recomendaciones relativas a la gestión de los destinos y la recuperación de la industria turística en medio de COVID-19.

Este trabajo representa un estudio de frontera, que descubre de forma crítica una serie de direcciones innovadoras de investigación interdisciplinaria y oportunidades de colaboración centradas en el turismo en relación con COVID-19.

Palabras clave Ciencias médicas, ciencias sociales, salud pública, gestión del turismo, investigación interdisciplinaria, COVID-19

Investigación

Robotic arms’ interactions with the external environment are growing more intricate, demanding higher control precision. This study aims to enhance control precision by establishing a dynamic model through the identification of the dynamic parameters of a self-designed robotic arm.

This study proposes an improved particle swarm optimization (IPSO) method for parameter identification, which comprehensively improves particle initialization diversity, dynamic adjustment of inertia weight, dynamic adjustment of local and global learning factors and global search capabilities. To reduce the number of particles and improve identification accuracy, a step-by-step dynamic parameter identification method was also proposed. Simultaneously, to fully unleash the dynamic characteristics of a robotic arm, and satisfy boundary conditions, a combination of high-order differentiable natural exponential functions and traditional Fourier series is used to develop an excitation trajectory. Finally, an arbitrary verification trajectory was planned using the IPSO to verify the accuracy of the dynamical parameter identification.

Experiments conducted on a self-designed robotic arm validate the proposed parameter identification method. By comparing it with IPSO1, IPSO2, IPSOd and least-square algorithms using the criteria of torque error and root mean square for each joint, the superiority of the IPSO algorithm in parameter identification becomes evident. In this case, the dynamic parameter results of each link are significantly improved.

A new parameter identification model was proposed and validated. Based on the experimental results, the stability of the identification results was improved, providing more accurate parameter identification for further applications.

An experiential retailing strategy is considered cardiotonic for consumers and brands. When such a stimulus is used, what cognition and behaviors are generated is an issue worthy of study. Therefore, the purpose of this study is to explore the factors and mechanisms that affect consumer response and relationship quality through empirical research.

Based on theoretical deduction, this paper proposes a conceptual model that includes four antecedents: experiential scene atmosphere (ESA), highlight design, interaction approach and value fit. These affect consumer–brand relationship quality (CRQ) through consumer identification (CI), brand identity (BI) and experiential immersion degree. In two rounds of predictive tests, 624 and 481 valid data were collected, respectively, and the feasibility of the scale was verified scrupulously. Furthermore, 427 participants reported the participants' tendencies in a formal empirical study.

The results show that the direct effects of antecedents, mediators and dependent variables are significant. Although the mediating effect of BI in experiential highlighting design on CRQ is not supported, other consumer response variables have a full or partial mediating effect.

This study not only functions as an innovation of research perspective enriching the theoretical framework of the influence mechanism of experiential retailing, but also strengthens the discussion on the role of value fit, especially emotional value fit, in experiential retailing.

Customer value co-creation in robots-mediated hospitality encounters involves active collaboration between customers and robots. In such encounters, robot capabilities, which are their functionalities or operational competences, and robot personalities, which are their interactive behaviors and communication styles, play a key role in enhancing customer value co-creation. The purpose of this study is to draw on service dominant logic to examine the role of robot capabilities and personalities in determining customer value co-creation and service satisfaction.

The authors adopted a mixed-methods research approach. A netnographic analysis was conducted on online customer reviews for robotic hotels and restaurants to identify key robot capabilities that shaped the customer experiences. Following this, a quantitative study (survey) was conducted to investigate the effects of robot capabilities and personalities on customer value co-creation and service satisfaction.

From the netnographic analysis, the authors identified cognitive, technical, interactional, emotional, personalization and autonomous capabilities as key robot capabilities influencing customer experiences. The findings of the follow-up empirical study showed that the higher-order robot capabilities construct positively influences customer value co-creation, which, in turn, affects service satisfaction. Furthermore, extroversion robot personality positively moderates this relationship, such that robots with high levels of capabilities result in greater value co-creation when robots possess extroversion personalities compared to introversion personalities.

This study advances the understanding of robot-mediated encounters by emphasizing the role of robot capabilities and personalities as crucial factors for effective customer value co-creation in the hospitality sector. Furthermore, it offers actionable insights for hospitality providers in selection of robots with key capabilities and personalities for enhancing customer satisfaction and successful value co-creation.

While previous research has predominantly focused on customer acceptance of and interaction with robots in the hospitality settings, the present study examined how and when service robots facilitate value co-creation with customers. Specifically, this study explores robot capabilities and personalities in shaping customer value co-creation perceptions. A few recent studies that examined customer-robot interactions have considered specific robot capabilities. However, given that hospitality services are experiential in nature and involve various tasks, a broad range of robot capabilities should be considered for a comprehensive understanding of the customer value co-creation process. By addressing this gap, the present study offers novel insights into what (capabilities) and how (extraversion personality) service robots facilitate customers in value co-creation and satisfaction.

This study aims to examine the role of message appeals (concrete vs abstract) posted by greenfluencers in determining their behavioral intention toward the sponsored sustainable product. This study examined the underlying mechanism of message authenticity and product sustainability image in this relationship. This study also investigated the boundary condition of product type (utilitarian vs hedonic) in the effect of sustainability message appeal on purchase intention.

Four studies were carried out. One field experiment on Facebook and three scenario-based online experiments were conducted to test the proposed relationships.

This study found that a concrete message appeal results in a higher purchase intention of the promoted product than an abstract message appeal. This effect is a result of message authenticity and product sustainability image. Furthermore, product type moderates the impact of message appeal on behavioral intention via message authenticity and product sustainability image.

This study contributes to the literature on influencer marketing, sustainability communication and the persuasion process.

This study’s findings provide insights for greenfluencers and firms that leverage greenfluencers to promote their sustainable products on social media. Specifically, it lays out how the sustainability message should be framed to be persuasive.

This study findings offer novel insights for greenfluencers and firms in developing effective message strategies to promote sustainable products on social media.