Search results

The basic purpose of this paper is to find out library professionals how these libraries perceive the importance of social media and emerging technologies what would make the difference in the libraries and how they help libraries to create environments flexible and exclusive.

This paper reviews various options for libraries to use different forms of social media to market their resources and services.

The reviewed literature has identified the importance and use of emerging technologies and social media in libraries. This paper can help library professionals to engage themselves to use social media and emerging technologies to bring innovation into the library sources and services.

This paper provides a review of social media and emerging technologies used for marketing in the libraries environment.

The aim of this study is to determine the relationship between social media and libraries in terms of marketing. The present research is to find out the factors and impact as well as the issues related to libraries and marketing using social media. This study will give massive information regarding social media use for the marketing of library sources and services.

This study so far has been taken into account to review all the related literature of social media and library marketing. All the related literature studies were reviewed according to the suggested objectives of the study.

The present study reveals after reviewing literature that there is a great impact of social media on libraries. The literature shows that social media is the biggest change in the twenty-firstst century for library professionals and librarians. The reviewed literature studies have discovered that the libraries are facing too many challenges and issues to the adoption of social media for the marketing of library sources and services. The collected and analyzed works of the literature indicated that social media would be the best tool to promote library sources and services.

This research or study can serve the LIS professionals and librarians in the field of library and information science and librarianships that they are looking for the adoption and application of social media in the marketing of library sources and services to the targeted customers.

This research or study can serve the LIS professionals and Librarians in the field of library and information science and librarianships that they are looking for the adoption and application of social media in the marketing of library sources and services to the targeted customers.

To the best of the authors’ knowledge, this study is one of the first among those researches that is to disclose the close relationship between social media and libraries in terms of marketing of library sources and services.

Despite the growing interest in micro-celebrities in destination marketing, their role in transferring cognitive, emotional and behavioral outcomes to destination psychological ownership (DPO) is underexplored. This study aims to address this void by investigating how the perceived characteristics of micro-celebrities influence travel intentions through interactive engagement, perceived information quality and DPO. It highlights three pathways for fostering DPO.

A survey-based design was developed with 302 samples collected and analyzed using partial least squares structural equation modeling and artificial neural network to examine the hypothesized model.

Findings reveal that the expertise and attractiveness of micro-celebrities enhance their perceived personal trustworthiness. This perception encourages social media users to view travel information from micro-celebrities as higher quality and to engage more with them, leading to DPO. Consequently, when social media users experience this psychological ownership, they show a stronger intention to travel to the destination, influenced partly by micro-celebrity marketing.

This study provides a psychological–developmental perspective on micro-celebrity marketing-induced travels. It underscores the importance of fostering micro-celebrity-induced DPO to establish a sustained, mutually beneficial relationship between tourists and destinations.

尽管微名人在目的地营销中的作用已引起学术界的关注, 但他们在传递认知、情感和行为结果至目的地心理所有权中的作用尚未得到充分探索。本研究通过调查微名人的感知特征如何通过互动参与、感知信息质量及目的地心理所有权影响旅行意图, 填补了这一研究空白。此外, 本研究还强调了促进目的地心理所有权的三条途径。

本研究采用基于调查的设计, 收集并分析了302个样本, 并使用偏最小二乘结构方程模型（PLS-SEM）和人工神经网络（ANN）对假设模型进行了检验。

研究结果表明, 微名人的专业知识和吸引力增强了其感知个人可信度。这一感知促使社交媒体用户将微名人分享的旅行信息视为更高质量的信息, 并与他们进行更频繁的互动, 从而促进了目的地心理所有权的形成。由此, 当社交媒体用户体验到这种心理所有权时, 他们表现出更强烈的旅行意图, 这在一定程度上受到微名人营销的影响。

本研究从心理发展的角度探讨了微名人营销引发的旅行意图, 强调了通过微名人激发目的地心理所有权的重要性, 以建立游客与目的地之间持续且互利的关系。

A pesar del creciente interés por las micro-celebridades en el marketing de destinos, su papel en la transferencia de resultados cognitivos, afectivos y conductuales a la apropiación psicológica del destino (DPO) está poco explorado. Esta investigación aborda esta laguna de investigación analizando cómo las características percibidas de las micro-celebridades influyen en las intenciones de viaje a través del compromiso interactivo, la calidad de la información percibida y la DPO. Se destacan tres vías para fomentar la DPO.

Se desarrolló un diseño basado en encuestas, recogiéndose y analizándose 302 observaciones. Se utilizó modelización de ecuaciones estructurales por mínimos cuadrados parciales y redes neuronales artificiales para analizar el modelo propuesto.

Los resultados revelan que la experiencia y el atractivo de las micro-celebridades mejoran su credibilidad personal percibida. Esta percepción anima a los usuarios de redes sociales a considerar la información sobre viajes proporcionada por las micro-celebridades como de mayor calidad y a interactuar más con ellas, lo que conduce a la formación de la apropiación psicológica del destino. Como resultado, cuando los usuarios de redes sociales experimentan esta apropiación psicológica, muestran una mayor intención de viajar al destino, influenciados en parte por el marketing de micro-celebridades.

Este estudio aporta una perspectiva de desarrollo psicológico sobre los viajes inducidos por el marketing de micro-celebridades. Subraya la importancia de fomentar la propiedad psicológica del destino inducida por micro-celebridades para establecer relaciones sostenidas y mutuamente beneficiosas entre los turistas y los destinos.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

This paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.

In this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.

Comparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.

Reliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

The purpose of this paper is to analyze the unbalanced magnetic pull (UMP) of the rotor of traction motor and the influence of the UMP on thermal characteristics of traction motor bearing.

The unbalanced magnetic pull on the rotor with different eccentricity was calculated by Fourier series expansion method. A bearing thermal analysis finite element model considering both the vibration of high-speed train caused by track irregularity and the UMP of traction motor rotor was established. The validity of the model is verified by experimental data obtained from a service high-speed train.

The results show that thermal failure of bearing subassemblies most likely occurs at contact area between the inner ring and rollers. The UMP of rotor of traction motor has a significant effect on the temperature of the inner ring and roller of the bearing. When the eccentricity is 10%, the temperature can even be increased by about 12°C. Therefore, the UMP of rotor of traction motor must be considered in thermal analysis of traction motor bearing.

In the thermal analysis of the bearing of the traction motor of high-speed train, the UMP of the rotor of the traction motor is considered for the first time

Why would a hospitality or tourism enterprise’s talent program backfire to demotivate interns from engaging in their jobs? This study aim to synthesize theoretical strands from the self-determination theory, person–environment fit theory and conservation of resources theory to investigate the predictors of perceived person–job fit and how such a fit causes changes in interns’ job motivation over time.

A four-wave longitudinal study was conducted. The four waves of data obtained from over 251 interns in China were analyzed using latent growth curve modeling.

The findings demonstrate that abusive co-worker treatment moderated the impact of perceived negative social status and perceived overqualification on perceived person–job fit. Moreover, perceived person–job fit is a significant predictor of the initial level of job motivation and flattens the decrease in job motivation over time. These findings demonstrate that interns’ job motivation generally decreased over time, and perceived person–job fit may help dampen the change trajectory of job motivation.

This study contributes to the practice of education and organizations in hospitality and tourism management by advocating for better interventions to improve interns’ work experience and motivations. Also, organizations can create team-building opportunities and promote teamwork that contributes to the formation of cohesive relationships and improve personal bonding.

This longitudinal inquiry conducted in China underscores the perils of hospitality/tourism internship by synthesizing a framework based on the theoretical strands germane to person–environment fit, resource conservation and self-determination. It uncovers the dark side of internship – not only due to mismanaged internship experience, but also because it could backfire to create a demotivational spiral that may ultimately drive potential talents away from hospitality/tourism organizations and industry.

The severe friction and wear of the spindle in a cotton picker often occur in a picking cotton, which affects the spindle lifetime and its efficiency of picking cottons. This paper aims to investigate the effect of an electroless nick coating on the spindle performances to avoid its abnormal phenomena.

First, it is coated on the surface of the test specimen with the material same as that of the spindle. Then, the friction coefficient and wear for the coating are measured under oil lubrication to evaluate its effect in improving the tribological performances for the spindle.

The stabilized friction coefficient of the electroless nick coating decreases with increasing reciprocating frequency of specimen and increasing applied load. There exists a critical coating thickness yielding the smallest friction coefficient. Moreover, this coating has a property of the smaller friction coefficient in comparison with a hard chromium coating.

The research about the electroless nick effect on the spindle’s tribological performances is not found yet to date. To avoid severe friction and wear of the spindle, this paper investigated how the reciprocating frequency of specimen, applied load and coating thickness affect the spindle’s tribological performances. The associated conclusions can provide a reference to enhance the spindle lifetime and its transmission efficiency.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.