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This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

The traditional drug development process is costly, time consuming and risky. Using computational methods to discover drug repositioning opportunities is a promising and efficient strategy in the era of big data. The explosive growth of large-scale genomic, phenotypic data and all kinds of “omics” data brings opportunities for developing new computational drug repositioning methods based on big data. The paper aims to discuss this issue.

Here, a new computational strategy is proposed for inferring drug–disease associations from rich biomedical resources toward drug repositioning. First, the network embedding (NE) algorithm is adopted to learn the latent feature representation of drugs from multiple biomedical resources. Furthermore, on the basis of the latent vectors of drugs from the NE module, a binary support vector machine classifier is trained to divide unknown drug–disease pairs into positive and negative instances. Finally, this model is validated on a well-established drug–disease association data set with tenfold cross-validation.

This model obtains the performance of an area under the receiver operating characteristic curve of 90.3 percent, which is comparable to those of similar systems. The authors also analyze the performance of the model and validate its effect on predicting the new indications of old drugs.

This study shows that the authors’ method is predictive, identifying novel drug–disease interactions for drug discovery. The new feature learning methods also positively contribute to the heterogeneous data integration.

This study aims to explore the factors influencing the post-pandemic intentions of Chinese residents to participate in outbound travel. The mechanism by which residents' perception of the coronavirus disease (COVID-19) influenced their outbound travel intentions are studied.

This study developed an extended theory of planned behavior (TPB) model and used structural equations to analyze data received from 432 questionnaires. Responses were obtained through a combination of online surveys and a traditional paper-based distribution of questionnaires.

Results showed that attitude, subjective norms, perceived behavioral control and past outbound travel behavior have significant positive effects on post-pandemic outbound travel intentions. Although the perception of COVID-19 directly and negatively influences outbound travel intentions, it also has an indirect influence on outbound travel intentions through the mediating effect of non-pharmaceutical interventions. The authors also found that risk tolerance has a negative moderating effect on the direct impact of residents' perception of COVID-19 on their travel intentions.

The findings can serve as a reference for formulating appropriate tourism development policies by government agencies, tourism management departments and tourism enterprises in destination countries.

This study developed an extended TPB model by adding more constructs into the TPB model. Compared with the original TPB model, the extended TPB model has better explanatory power of post-pandemic travel intentions. The study also provides evidence for the applicability of the TPB model in studying travel intentions within the context of major public health emergencies and has expanded the application scope of the TPB model.

新冠肺炎疫情后中国居民出境旅游意愿的影响因素研究······································——基于疫情感知的扩展TPB模型

摘要

本研究致力于探索新冠肺炎疫情后（以下简称“疫情”）中国居民出境旅游意愿的影响因素, 以及疫情感知对出境旅游意愿的作用机制。

本文以TPB理论为基础, 通过构建扩展TPB模型, 并利用结构方程对432份问卷进行数据分析。问卷通过网络发放与传统纸质问卷调研相结合的方式获得。

态度、主观规范、感知行为控制及过去出境旅游行为对中国居民疫情后出境旅游意愿具有显著正向影响; 疫情感知在直接负向影响出境旅游意愿的同时, 还通过非药物干预行为的中介作用间接影响出境旅游意愿; 在疫情感知对出境旅游意愿的直接影响中, 风险容忍度起着负向调节作用。

研究结果对旅游目的地政府、旅游管理部门及旅游企业制定相应旅游发展政策具有一定前瞻性参考价值。

本文通过在原始TPB模型的基础上加入更多变量, 进而构建了扩展TPB模型。与原始模型相比, 扩展TPB模型对疫情蔓延背景下中国居民疫情后出境旅游意愿有着更好的解释力和预测力。本文证实了在突发重大公共卫生事件背景下TPB模型对于研究旅游意愿的适用性, 扩展了TPB模型的应用范围。

Investigación sobre los factores que influyen en la voluntad de viajar al extranjero de los residentes chinos después de la nueva epidemia de neumonía coronaria: un modelo extendido de TPB basado en la percepción de la epidemia

Resumen

Este estudio tiene como objetivo explorar los factores que influyen en las intenciones posteriores a la pandemia de los residentes chinos de participar en viajes al extranjero. Se estudia el mecanismo por el cual la percepción de los residentes sobre la enfermedad por coronavirus (COVID-19) influyó en sus intenciones de viajar al extranjero.

Este estudio tiene como objetivo explorar los factores que influyen en la intención de viaje de salida de los residentes chinos después de la pandemia, en particular el mecanismo por el cual la percepción de los residentes de COVID-19 influyó en sus intenciones de viaje de salida.

Los resultados mostraron que la actitud, las normas subjetivas, el control conductual percibido y el comportamiento de viajes de ida y vuelta en el pasado tienen efectos positivos significativos sobre la intención de viajar de ida después de la pandemia. Si bien la percepción de COVID-19 influye directamente de forma negativa en la intención de viaje de ida, también influye indirectamente en la intención de viaje de ida a través del efecto mediador de las intervenciones no farmacéuticas. También encontramos que la tolerancia al riesgo tiene un efecto moderador negativo sobre el impacto directo de la percepción de los residentes sobre el COVID-19 en la intención de viaje.

Nuestros hallazgos se pueden utilizar como referencia para las agencias gubernamentales, los departamentos de gestión del turismo y las empresas turísticas en los países de destino en la formulación de políticas de desarrollo turístico adecuadas.

Este estudio desarrolló un modelo TPB extendido agregando más constructos en el modelo TPB. En comparación con el modelo TPB original, el modelo TPB extendido tiene un mejor poder explicativo de las intenciones de viaje posteriores a una pandemia en el contexto de una pandemia. Este estudio también proporcionó evidencia de la aplicabilidad del modelo TPB para estudiar las intenciones de viaje en el contexto de las principales emergencias de salud pública y amplió el ámbito de aplicación del modelo TPB.

This study explores customers' omnichannel continuance intention from the perceived value perspective and examines the differences between planned and unplanned purchases.

A survey method was used to collect data from 311 omnichannel customers. The research model was tested by employing structural equation modelling.

The results indicate that perceived values, namely, utilitarian, hedonic and social value, positively affect customers' omnichannel continuance intention through attitude. Hedonic value is the main demand of omnichannel customers. Purchase plan plays a moderating role in the relationships between perceived values and attitude. Specifically, the effect of utilitarian value on attitude is greater for unplanned purchases than for planned purchases, whilst the effects of hedonic and social value have no difference between planned and unplanned purchases.

The findings provide guidelines for omnichannel retailers' channel integration and customer value proposition. Retailers should provide more hedonic and social value in customers' entire shopping process through channel integration and consider customers' purchase plan when providing utilitarian value.

This study contributes to the literature on omnichannel customer behaviour by identifying new influential factors that impact customers' omnichannel choice. It also extends the application of the theory of consumption values to omnichannel shopping and identifies the role of purchase plan in value offerings.

This study aims to explore the relationships among destination brand equity, brand authenticity and revisit intention. The mediating role of tourist satisfaction and the moderating role of destination familiarity in these relationships are also investigated.

Based on the stimulus–organism–response theory, a structural equation model was constructed to test the relationships among the study variables. The original data was obtained using a questionnaire survey method from domestic tourists who have traveled to Guilin in China.

The findings revealed that brand equity and brand authenticity not only positively and directly affect revisit intention but also have an indirect influence on revisit intention through the mediating role of tourist satisfaction. Destination familiarity positively moderates the direct influence of brand equity on revisit intention. Furthermore, brand authenticity significantly and positively affects brand equity.

The findings of this study provide a certain enlightenment for brand marketing and tourist destination management.

This study reveals the impact path of brand equity and brand authenticity on revisit intention, compensating for the lack of attention on impact mechanism among them. This study proves the impact of brand authenticity on destination brand equity. This compensates for the deficiencies that ignore possible antecedents affecting destination brand equity and the impact of brand authenticity on brand equity in the context of tourism destination. This study also confirms the specific dimensions of brand equity and brand authenticity in the context of Chinese tourism destinations in response to the current controversy.

旅游目的地品牌资产、品牌真实性与重游意愿: 游客满意度的中介作用与目的地熟悉度的调节作用

摘要

本研究致力于探究旅游目的地品牌资产、品牌真实性与重游意愿之间的关系。本文也研究了游客满意度在这些关系中所起的中介作用以及目的地熟悉度的调节作用。

本文以刺激-机体-反应理论为基础, 通过构建结构方程模型来对变量之间的关系进行检验。原始数据是通过问卷调查法从曾在桂林旅游的国内游客中获得。

目的地品牌资产和品牌真实性在直接正向影响重游意愿的同时, 还通过游客满意度的中介作用来间接影响重游意愿。目的地熟悉度在品牌资产对重游意愿的直接影响中起着正向调节作用。此外, 目的地品牌真实性对品牌资产起着显著正向影响。

本研究揭示了目的地品牌资产与品牌真实性对重游意愿的影响路径, 弥补了对其中影响机制关注不足的缺陷。本研究证实了旅游目的地背景下品牌真实性对品牌资产的具体影响, 弥补了现有文献较少关注影响目的地品牌资产的可能前因以及旅游目的地背景下品牌真实性对品牌资产具体影响的不足。此外, 本研究以中国旅游目的地为研究背景, 证实了品牌资产与品牌真实性的具体维度, 回应了当前的争议。

本研究结论对旅游目的地品牌营销与管理提供一定的启示。

Valor de marca de destino turístico, autenticidad de marca y voluntad de volver a visitar：El papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino

Resumen

este estudio tiene como objetivo explorar las relaciones entre el valor de la marca de destino, la autenticidad de la marca y la intención de volver a visitar. También se investiga el papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino en estas relaciones.

con base en la teoría Estímulo-Organismo-Respuesta, se construye un modelo de ecuación estructural para probar las relaciones entre las variables de investigación. Los datos originales se obtienen mediante el método de encuesta por cuestionario de turistas nacionales que han viajado a Guilin en China.

los hallazgos revelaron que el valor y la autenticidad de la marca no solo afectan positiva y directamente la intención de volver a visitar, sino que también tienen una influencia indirecta en la intención de volver a visitar a través del papel mediador de la satisfacción del turista. La familiaridad con el destino modera positivamente la influencia directa del valor de la marca en la intención de volver a visitar. Además, la autenticidad de la marca afecta de manera significativa y positiva al valor de la marca.

este documento revela el camino del impacto del valor de marca y la autenticidad de la marca en la intención de volver a visitar, compensando la falta de atención al mecanismo de impacto entre ellos. Este trabajo demuestra el efecto de la autenticidad de la marca en el valor de la marca del destino, que compensa las deficiencias que ignoran los posibles antecedentes que afectan el valor de la marca del destino y el impacto de la autenticidad de la marca en el valor de la marca en el contexto del destino turístico. Este estudio también confirma las dimensiones específicas del valor de marca y la autenticidad de la marca en el contexto del destino turístico chino, respondiendo a la controversia actual.

los hallazgos de este documento proporcionan cierta iluminación para el marketing de marca y la gestión de destinos turísticos.

This study aims to examine the factors that motivate consumers’ omnichannel continuance intention from the utilitarian value perspective and to test the moderating role of product involvement.

Structural equation modeling was used to analyze the research model with data on 382 omnichannel consumers.

Three perceived utilitarian value dimensions – quality, monetary savings and convenience – positively influence consumers’ omnichannel continuance intention through their attitudes. Convenience is the main driver of consumers’ omnichannel shopping. Moreover, the effect of perceived quality on attitude is greater for consumers with low rather than high product involvement.

This study refines the research on omnichannel consumer behavior, adds to the factors known to influence consumers’ omnichannel selection and identifies the critical role of product involvement in retaining consumers. However, it only investigates the basic dimensions of perceived utilitarian value and does not distinguish between types of omnichannel services. Future research can expand upon consumer intention by considering more utilitarian values and omnichannel services.

Omnichannel retailers should consider the significance of these findings in guiding consumer retention and channel integration. Specifically, they may suggest more convenient methods for shopping and measures of consumer product involvement to provide utilitarian value.

This study adds to the literature on omnichannel selection by investigating consumers’ continuance intention. Analyzing the effects of utilitarian value extends prior research on information systems, channel integration, supply chain management and consumer experience.

This study aims to investigate whether higher value creation leads to higher value appropriation and to identify the boundary conditions in a buyer–supplier relationship that can explain why a particular supplier can appropriate higher value than others.

The study uses questionnaire surveys. The sample of the survey has 150 publicly-listed supplier firms in Taiwan. The unit of analysis is the buyer–supplier relationship.

In the buyer–supplier relationship, suppliers’ bargaining power, partnership and a supplier’s original brand manufacturing (OBM) business can strengthen the positive relationship between value creation and value appropriation.

This study adopts the unilateral viewpoint of suppliers; however, some constructs might require dyadic evaluation. This study only explores the spillover effect of OBM business on the relationship between value creation and appropriation.

The spillover effect of a supplier’s OBM business in a buyer–supplier relationship allows the buyer to share more common benefits and the supplier to capture more private benefits as compensation. By broadening its customer base, a supplier can increase its bargaining power. A supplier can also maintain a strategic partnership with each essential buyer.

To avoid the dark-side effect of partnership, the model provides the contingency that a supplier can capture more value from a buyer–supplier relationship.

“Internet of things” is a broad term used to describe network connectivity to physical objects. Called connectable or smart objects, they are embedded in electronic circuits and software that make them capable of detecting, collecting and transmitting data and information. This paper aims to examine the influence of the attributes of “internet of things” products in the functional and emotional experience of purchase intention.

The study used a model adapted from Yaping et al. (2014), with adjustment for the constructs “emotional experience”, “functional experience” and “purchase intention”. The survey consisted of a sample of 747 valid questionnaires regarding users of “internet of things” products, through a structured questionnaire with 36 assertions, which were answered based on the Likert scale. The quantitative research approach followed an exploratory descriptive phase followed by the application of structural equation modeling.

Results validated most of the relationships of the model, with high levels of significance. In addition, there was a greater influence of emotional experience than functional on purchase intention for the selected sample, which mainly consisted of young people.

In short, the study confirmed the statistical significance of the structural paths, indicating that the proposed model is consistent, and with an appropriate adjustment can be applied in future research.

The purpose of this paper is to improve the tribological properties of aluminum cylinder liner. Higher martensite contents were closely related to the higher hardness and excellent wear resistance of Fe-based coatings. Furthermore, the grain size of the Fe-based coating was approximately 40 nm, which provides an excellent fine grain strengthening effect.

To improve the tribological properties of aluminum cylinder liners, a Fe-based martensite coating was prepared by internal plasma spraying technology, whose microstructure and tribological properties were then investigated.

Sprayed Fe-based coating possessed a low contact angle and strong adhesion with lubricating oil. In a simulated engine condition, Fe-based coating exhibited a decreased friction coefficient and increased wear resistance under oil lubrication, which was dominated by a stronger adhesive force with lubricating oil, higher martensite contents on the worn surface, higher hardness and higher H/E value than those of the reference HT 200 and Al-19Si cylinder material.

Nanostructure Fe-based martensite coating was sprayed on an aluminum cylinder liner, which demonstrated remarkable advantages over the reference cylinder material.

Companies are increasingly designing pro-environmental games to motivate users to implement pro-environmental behaviors (PEBs). However, how different types of virtual interactions affect PEBs in pro-environmental games is not clear. Thus, the authors propose that two types of virtual interaction, interactions with game objects and interactions with other users, can induce platform intimacy and love for nature and that platform intimacy has a direct effect on love for nature. Simultaneously, the authors examine the moderating effect of network externality on the relationship between the two types of virtual interaction and platform intimacy.

The authors, respectively, employed data from 92 students and 574 Chinese mobile users to empirically investigate the research framework.

The findings indicate that participants in interactions with game objects and interactions with other users reported stronger feelings regarding platform intimacy and love for nature, which, in turn, positively influences PEBs. Consumers with stronger perceptions of network externalities were more likely to be affected by the initiation effect of the interaction with game objects.

The authors introduce the notion of love for nature to the pro-environmental behaviors field and discuss the priming effect of two types of interactions on platform intimacy and love for nature. In addition, the authors focus on the important effect of network externality on users' emotions.