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The purpose of this paper is to provide an analytical method of jet flow injection direction and to determine the influence of oil nozzle structure parameters on oil injection direction, thus providing the design method of oil nozzle structure parameters.

A model of oil injection loss is established to analyze the influence of oil nozzle structure parameters on oil injection direction. The computational fluid dynamics method is used to simulate the process of the deviation of jet flow injection direction. The deviation of jet flow injection direction with different oil nozzle structure parameters is calculated and their variations are obtained. Moreover, the deviation of jet flow injection direction with different oil nozzle structure parameters is tested to verify the analysis results.

Results indicate that radial velocity caused the deflection of the oil injection direction. The deviation of jet flow increased as the nozzle slenderness ratio decreased. The design method of the nozzle slenderness ratio (greater than five) is proposed to avoid the deviation of injection direction, and it is necessary to consider the matching between the nozzle slenderness ratio and pipeline pressure. The computational results coincide well with the experimental results.

The research presented here analyzed the influence of oil nozzle structure parameters on oil injection direction via a numerical analysis method. It also leads to a design reference guideline that could be used in jet lubrication, thus controlling the direction of the injection jet accurately.

This paper aims to provide feasible countermeasures for the application of lean manufacturing in automatic sand casting workshops to optimize production line balance.

A production line balance optimization model for sand casting workshops is proposed. The value stream mapping (VSM) approach is applied to diagnose the problems in the production process. An optimization scheme is established based on eliminate, combine, rearrange, simplify and increase theory and Kanban management method. Further, simulation is done to compare current VSM and future VSM.

After implementing the proposed model, findings indicated that the idle time of equipment was effectively reduced, the line of balance of the production line was increased by 44.7%, the production lead time was shortened by 60.3% and the production capacity was increased by 50.0%.

Application of the optimization model in this study is limited to sand casting workshops that have realized automatic or semi-automatic production.

This paper provides an optimization model for the implementation of lean manufacturing in sand casting workshops and provides a reference case that reflects the actual application of lean manufacturing tools in a real situation.

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 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 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 purpose of this study is to review and summarise the existing available literature on lightweight cladding systems to provide detailed information on fire behaviour (ignitibility, heat release rate and smoke toxicity) and various test method protocols. Additionally, the paper discusses the challenges and provides updated knowledge and recommendation on selective-fire mechanisms such as rapid-fire spread, air cavity and fire re-entry behaviours due to dripping and melting of lightweight composite claddings.

A comprehensive literature review on fire behaviour, fire hazard and testing methods of lightweight composite claddings has been conducted in this research. In summarising all possible fire hazards, particular attention is given to the potential impact of toxicity of lightweight cladding fires. In addition, various criteria for fire performance evaluation of lightweight composite claddings are also highlighted. These evaluations are generally categorised as small-, intermediate- and large-scale test methods.

The major challenges of lightweight claddings are rapid fire spread, smoke production and toxicity and inconsistency in fire testing.

The review highlights the current challenges in cladding fire, smoke toxicity, testing system and regulation to provide some research recommendations to address the identified challenges.

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.

The purpose of this paper is to study the rent-seeking behavior of stakeholders in construction projects and to provide a reference for further studies on collaboration in China, which could thus improve the collaborative management in construction and reduce the waste of resources.

In this paper, the authors discuss and analyze the current situation of rent-seeking behavior in infrastructure construction projects, integrated project delivery (IPD), and the application of a building information model (BIM) in China. The authors analyze the collusive behavior between the supervision department and the contractor via the rent-seeking model on the basis of the game theory and present that BIM and IPD have a positive impact on rent-seeking activities of construction projects. The key factors influencing the rent-seeking activities from the perspective of the owner are studied via a questionnaire survey.

The research status of IPD in China includes the application of IPD, IPD collaborative management and the combination of lean construction (LC), IPD and BIM. The enthusiasm of the adoption of BIM and IPD is higher for design institute, construction units, research institutions and universities. The findings indicate that the owner appears to have a significant influence on stakeholders in construction projects, such as supervising efficiency, rewards and punishment. Therefore, the results also demonstrate that the construction project based on BIM and IPD can effectively avoid the rent-seeking activities of the participants.

The findings are primarily based on questionnaire data originated from Central China; hence there are some limitations that are worth noting.

First, it provides compelling data evidence for the adoption of BIM and IPD in China. Second, it paves a solid foundation for the behavior of stakeholders in construction projects based on BIM and IPD.

In this paper, a game model of contractor, supervisor and owner is established, and a preliminary attempt is made to introduce BIM and IPD into the model for the behavioral research of participants.

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.

Although buy-online-and-pick-up-in-store (BOPS) has been widely implemented by companies, scant attention has been paid to its effect on consumer experience and the concomitant outcomes. Using the psychological ownership theory, this study aims to examine whether and how the BOPS experience (vs online experience) can enhance consumer loyalty.

Study 1 investigated the consumer loyalty of shopping experience (self-pickup vs delivery) on actual consumer behavior through secondary data. Studies 2, 3 and 4 were controlled experiments to further investigate the mediating effect of product psychological ownership, and the moderating effects of product type and postdecision experience valence.

The authors found that BOPS shopping led to higher consumer loyalty (i.e. repeat purchase and repeat purchase frequency) compared with online shopping. Furthermore, the authors examined that this effect was mediated by product psychological ownership and moderated by product type and postdecision experience valence.

Theoretical speculations about how BOPS shopping affects consumer experience should be probed in future research.

Retailers with physical stores can offer in-store pickup options for their online consumers to increase their product psychological ownership and consumer loyalty. And the positive effects of the BOPS strategy relied on product type and postdecision experience valence.

This research offers theoretical contributions to research on the BOPS strategy, psychological ownership theory and consumer loyalty.