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This study proposes a tensegrity-based traction structure with D-bar dual cable units. It is used to connect the airship and the ground to stabilize the airship.

The mathematical models and dynamic models of the D-bar dual cable (hereafter referred to as DD cable) unit of the tensegrity-based traction structure are established. Based on the minimum mass method, the mass of the DD cable unit in the critical state (cable member is yielding, or bar member is buckling or yielding) is analyzed. Then, the tensile strength of the DD cable unit and single cable unit under the same condition is compared using the control variate method. Finally, based on ANSYS dynamic simulation, the stability of the two structures under the same external force disturbance was tested.

Expressions for the minimum mass of the DD cable unit under different failure conditions are solved. Dynamic simulation results show that the capacity of resisting disturbance of the DD cable unit is much better than that of the single cable unit under the same wind speed. So, we find a structure more suitable for the fixed connection of an airship.

This study helps to provide theoretical reference and thinking for the practical application of the traction structure with a D-bar dual cable unit.

The continuing development of digital technologies creates expanding opportunities for information transparency. Consumers use social media to provide online reviews that are focused on changing levels of consumer trust. This study examines the effect of perceived risk that prompts consumers to search for online reviews in the context of food safety.

Commitment-trust theory forms the theoretical lens to model changes in consumer trust resulting from online reviews. Consumer-based questionnaire surveys collected data to test the structural model, using structural equation modelling (SEM).

The findings show when consumers perceive high levels of risk, they use social media to obtain additional product-related information. The objective, unanimous, evidential and noticeable online reviews are perceived as informative to consumers. Perceived informativeness of positive online reviews is found to increase consumers trust and, in turn, increase their purchase intentions.

The findings contribute to the knowledge of online review-based trust literature and provide far-reaching implications for information system (IS)-practitioners in business.

Nonlinear mixed-convective entropy optimized the flow of hyperbolic-tangent nanofluid (HTN) with magnetohydrodynamics (MHD) process is considered over a vertical slendering surface. The impression of activation energy is incorporated in the modeling with the significance of nonlinear radiation, dissipative-function, heat generation/consumption connection and Joule heating. Research in this area has practical applications in the design of efficient heat exchangers, thermal management systems or nanomaterial-based devices.

Suitable set of variables is introduced to transform the PDEs (Partial differential equations) system into required ODEs (Ordinary differential equations) system. The transformed ODEs system is then solved numerically via finite difference method. Graphical artworks are made to predict the control of applicable transport parameters on surface entropy, Bejan number, Sherwood number, skin-friction, Nusselt number, temperature, velocity and concentration fields.

It is noticed from present numerical examination that Bejan number aggravates for improved estimations of concentration-difference parameter a_2, Eckert number E_c, thermal ratio parameter ?_w and radiation parameter R_d, whereas surface entropy condenses for flow performance index n, temperature-difference parameter a_1, thermodiffusion parameter N_t and mixed convection parameter ?. Sherwood number is enriched with the amplification of pedesis-motion parameter N_b, while opposite development is perceived for thermodiffusion parameter. Lastly, outcomes are matched with formerly published data to authenticate the present numerical investigation.

To the best of the authors' knowledge, no investigation has been reported yet that explains the entropic behavior with activation energy in the flowing of hyperbolic-tangent mixed-convective nanomaterial due to a vertical slendering surface.

This study aims to predict the effect of cultural distance, perceived risk and electronic word of mouth (eWOM) on higher education institutes' students' destination image. In addition, it examines the mediating role of destination image in relation to students' travel intentions.

An online survey was employed to collect data from 200 graduate and postgraduate students. The partial least squares was employed to analyse the hypothesised relationships.

The results of this study found support for the positive effect of cultural distance and eWOM on destination image. Additionally, the mediating effect of destination image was also supported.

This research confirms the vital role of destination image as an antecedent of students' future intention to visit the destination. Moreover, this study contributes to marketing theory by predicting the critical drivers of higher education students' destination image and discussing their applications in the education sector.

The goal of the study is to underline “Cinematic Architecture” as another source of architectural thinking and research. This study is also a response to the shortage in empirical research on architecture in the cinema. Moreover, the study introduces the architectural components that qualify the cinematic spaces to be influential cinematic experience. This is in addition to investigating the impact of these components on the viewers' cognitive and emotional experience of films.

In the reported study, an empirical experiment examined scenes from three different movies as experienced by a selected group of audience of movies fans (architects and laypersons). The audience was asked to report feelings the audience had about each scene using a questionnaire that was designed for this purpose, and the audience was asked to write down the aspects that affected the audience's emotions. The experiment evaluated selected emotional states and could specify the architectural features and/or objects that significantly contributed in inducing these emotions.

This study's findings concluded that emotions, which exist in the positive margin of the emotions “circumplex model,” were influenced by architectural components that were different from those that influenced emotions which lie in the negative margin of the model.

As for filmmakers, the study contributes in developing filmmakers' knowledge about the role of architecture in scenic creation and thus how that knowledge enhances filmmakers' film narrative and the narrative's spatial imagery. As for academia, this study contributes in developing the knowledge about film cognition as related to architectural semiotics. In the context of behavioral approach to architectural design, a behavior setting which is the basic element in environmental design can be dramatized by applying a cinematic narrative to a human activity system within a milieu of architectural design elements.

This study is important for architects, as the study provides architects with an alternative tool for fictional experience and for testing architectural ideas through cinematic architecture. This study also helps in developing new venues for the practice of architecture into the world of fiction. This study also contributes in developing the trend that architectural design thinking can learn from cinematic thinking and practice.

This study introduces an empirical approach to evaluate architectural entities as part of cinematic experience. This study also comes as a response to the shortage in empirical research on architecture in the cinema.

The purpose of this study is to provide that porous media and viscous dissipation are crucial considerations when working with hybrid nanofluids in various applications.Recent years have witnessed significant progress in optimizing these fluids for enhanced heat transfer within porous (Darcy–Forchheimer) structures, offering promising solutions for various industries seeking improved thermalmanagement and energy efficiency.

The first step is to transform the original partial differential equations into a system of first-order ordinary differential equations (ODEs). The fourth-order Runge–Kutta method is chosen for its accuracy in solving ODEs. The present study investigates the free convective boundary layer flow of hybrid nanofluids over a moving thin inclined needle with the slip flow brought about by inclined Lorentz force and Darcy–Forchheimer porous matrix, viscous dissipation.

It is found that slip conditions (velocity and Thermal) exist for a range of the natural convection boundary layer flow. In the hybrid nanofluid flow, which consists of Al₂O₃ and Fe₃O₄ are nanoparticles, H₂O − C₂H₆O₂ (50:50) are considered as the base fluid. The consequence of the governing parameter on the momentum and temperature profile distribution is graphically depicted. The range of the variables is 1 ≤ M ≤ 4, 1 ≤ d ≤ 2.5, 1 ≤ δ ≤ 4, 1 ≤ Fr ≤ 7, 1 ≤ Kr ≤ 7 and 0.5≤λ ≤ 3.5. The Nusselt number and skin friction factors are used to calculate the numerical values of various parameters, which are displayed in Table 4. These analyses elucidate that upsurges in the value of the Fr noticeably diminish the momentum and temperature. It is investigated to see if the contemporary results are in outstanding promise with the outcomes reported in earlier works.

The results can be very helpful to improve the energy efficiency of thermal systems.

The hybrid nanofluids in heat transfer have the potential to improve the energy efficiency and performance of a wide range of systems.

This study proposes that in the combined effects of hybrid nanofluid properties, the inclined Lorentz force, the Darcy–Forchheimer model for porous media and viscous dissipation on the boundary layer flow of a conducting fluid over a moving thin inclined needle. Assessing the potential practical applications of the hybrid nanofluids in inclined needles, this could involve areas such as biomedical engineering, drug delivery systems or microfluidic devices. In future should explore the benefits and limitations of using hybrid nanofluids in these applications.

This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study’s objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature.

A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review.

The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. “patient care”, “medical”, “higher education” and so on are emerging themes around the topic.

These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively.

Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.

Previous scholars have assumed that multinational enterprises (MNEs) can reduce the liability of foreignness and increase profitability by investing in corporate social responsibility (CSR). However, empirical validation of this assumption has rarely been attempted. This study aims to provide empirical evidence that the adoption of multi-stakeholder initiatives, which are globally recognized as signals of CSR, helps MNEs increase profits from internationalization.

Fixed effect models, which address model misspecification problems, and instrumental variable estimation, which controls for the endogeneity in firms’ choice of internationalization, offer empirical evidence supporting the moderating effects of global multi-stakeholder initiatives on the relationship between internationalization and firm performance.

This study examines the moderating role of multi-stakeholder initiatives in the relationship between internationalization and firm performance, drawing on signaling and stakeholder theories. The results suggest that the signaling effect of multi-stakeholder initiatives can help MNEs overcome the liability of foreignness and, therefore, profit from overseas markets.

Although the internationalization–firm performance relationship has been a subject of debate in the field of international business, the role of firms’ stakeholder engagement in this relationship has been largely overlooked in previous studies. In this study, the authors explore the impact of multi-stakeholder initiatives on the internationalization–firm performance relationship. Our primary contention is that multi-stakeholder initiatives have moderating effects on this relationship by reducing the liability of foreignness experienced by MNEs in host countries. Furthermore, the findings suggest that active engagement in multi-stakeholder initiatives significantly contributes to the financial success of MNEs as they internationalize.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.