The purpose of this paper is to explore the actions of different senses on visitors’ embodied experience in dark tourism “field,” including embodied emotions/cognitions.
Abstract
Purpose
The purpose of this paper is to explore the actions of different senses on visitors’ embodied experience in dark tourism “field,” including embodied emotions/cognitions.
Design/methodology/approach
This research uses qualitative analysis by applying tourists’ reviews from two main Chinese tourism websites and the software of MAXQDA. It identifies the senses applied in the embodiment process in dark tourism “field” and matches these senses to the specific types of embodied emotions/cognitions.
Findings
This research identifies four main senses. The visual sense has the greatest influence on 27 embodied emotions and 7 embodied cognitions. Auditory and temperature sense create particular emotions. This research also points out the phenomenon of “banned behavior.” At last, to achieve accessibility/acceptability, Nanjing Memorial Hall applies two strategies to distance the extreme historical events from visitors: the construction of aesthetic elements and the way it shows historical objects.
Research limitations/implications
It uses both qualitative and quantitative data to identify the classifications and degrees of senses, emotions and cognitions as well as the relations between them. However, there are difficulties in the coding process because of the language differences, which requires a good understanding of the context of the tourism experience.
Practical implications
The research results could be used as a psychological reference and in the design of dark tourism product.
Social implications
It provides a specific understanding of the way in which visitors interact with dark tourism objects and environment.
Originality/value
This is the first research that explains the dark tourism experience from the perspective of embodiment. It provides conceptual as well as empirical reference for a new research topic.
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Zhiling Ma, Yanjun Qiao, Fei Xie, Xianling Wang and Jing Wang
The purpose of this paper is to evaluate the role of encapsulation temperature on the preparation of silica-encapsulated waterborne aluminium pigments.
Abstract
Purpose
The purpose of this paper is to evaluate the role of encapsulation temperature on the preparation of silica-encapsulated waterborne aluminium pigments.
Design/methodology/approach
The waterborne aluminium pigments were prepared with H2O2 as anchoring agent and siloxane used as precursors in pH = 9.0 medium at different temperatures. The anchorage and compactness of silicon which on aluminium surface were characterized by optical microscopy, scanning electron microscopy and N2 adsorption-desorption. The anticorrosion property was characterized by the volume of produced hydrogen as a function of time.
Findings
The effect of encapsulation temperature on anticorrosion property of aluminium pigments is reflected from the anchorage and the compactness of silica on aluminium surface. Furthermore, when encapsulation temperature is 45-50°C, the silica platelets uniformly anchored on the aluminium surface as a dense film, which show the best anticorrosion property. Lower and higher encapsulation temperatures cause the silica platelets to agglomerate rather than anchor on the aluminium surface, which is unfavourable for the anchorage and the formation of compact silica film. The use of product in waterborne coatings gives a higher glossiness than that of raw material.
Research limitations/implications
Only pH = 9.0 medium was explored, and the other pH medium could result in different optimum temperatures.
Practical implications
The investigation results provide theoretical basis for obtaining excellent waterborne aluminium pigments.
Originality/value
The method of investigating corrosion resistance mechanism of aluminium pigments based on anchorage and compactness is novel.
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Rujiu Gao, Denise Koh and Ling Wang
Based on the theory of embodied cognition, this study uses the Mehrabian–Rusell model to explore the influence of tourists’ body involvement during sports vacations on their…
Abstract
Purpose
Based on the theory of embodied cognition, this study uses the Mehrabian–Rusell model to explore the influence of tourists’ body involvement during sports vacations on their post-trip behavioral intention, as well as the regulatory role of tourism involvement in this process.
Design/methodology/approach
Structural equation modeling (SEM) was used to test the hypotheses, mediating effects and moderating effects. The data were collected through an online survey of 631 visitors to sports tourism destinations in China.
Findings
Proprioception and kinesthesia in sports tourism activities can affect post-trip behavioral intention through body arousal and tourism satisfaction. Tourism involvement positively regulates the influence of body embeddedness and body arousal on tourism satisfaction. Furthermore, a “threshold effect” exists in the emotional effect of tourists’ body involvement.
Practical implications
To develop sports tourism, it is important to take the following steps: create multi-sensory stimulation to improve the physical participation of tourists in sports tourism activities, design sports resorts that cater to people of different age groups, evaluate tourists’ satisfaction and use their feedback to make continuous improvements, improve the basic convenience services offered at sports resorts, use social media to display the unique physical environment and others characteristics of sports destinations to expand popularity.
Originality/value
This study constructs a conceptual model of the influence mechanism of tourists’ body involvement on post-trip behavioral intention to present valuable insights that could help promote the sustainable development of sports tourism.
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Yanjun Zhang, Shuangfeng Wang and Zhuming Liu
The purpose of this study is to conduct research on a new kind of division microchannel heat sink (D-MCHS), which can distribute cooling water along the channel-length direction…
Abstract
Purpose
The purpose of this study is to conduct research on a new kind of division microchannel heat sink (D-MCHS), which can distribute cooling water along the channel-length direction. First, the pressure drops in the D-MCHS with different division region numbers were compared. Then, the cooling performance of the D-MCHS with different division region numbers was also comparatively investigated. Finally, the temperature distribution on the bottom surface of the D-MCHS was analyzed.
Design/methodology/approach
First, experiments were conducted to investigate the numerical calculation method. Then, a three-dimensional steady, single-phase, laminar flow and solid-fluid conjugate heat transfer numerical model was used to research the flow and heat transfer characteristics in microchannels.
Findings
The pressure drop in the D-MCHS could be reduced by increasing the number of divided flow regions along the channel-length direction. The bottom average temperature of the D-MCHS could be simultaneously affected by the number of divided flow regions and the water flow rate. The thermal uniformity performance of the D-MCHS could be improved by increasing the number of division flow regions. The number of low-temperature and high-temperature areas on the bottom surface of the D-MCHS is corresponding to the division flow region number.
Originality/value
The D-MCHS exhibited a positive effect on the pressure drop decrease and thermal uniformity improvement. It not only keeps the electronic module working in a secure temperature environment but also consumes less pump power for a lower pressure drop.
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ELyazid Akachar, Brahim Ouhbi and Bouchra Frikh
The purpose of this paper is to present an algorithm for detecting communities in social networks.
Abstract
Purpose
The purpose of this paper is to present an algorithm for detecting communities in social networks.
Design/methodology/approach
The majority of existing methods of community detection in social networks are based on structural information, and they neglect the content information. In this paper, the authors propose a novel approach that combines the content and structure information to discover more meaningful communities in social networks. To integrate the content information in the process of community detection, the authors propose to exploit the texts involved in social networks to identify the users’ topics of interest. These topics are detected based on the statistical and semantic measures, which allow us to divide the users into different groups so that each group represents a distinct topic. Then, the authors perform links analysis in each group to discover the users who are highly interconnected (communities).
Findings
To validate the performance of the approach, the authors carried out a set of experiments on four real life data sets, and they compared their method with classical methods that ignore the content information.
Originality/value
The experimental results demonstrate that the quality of community structure is improved when we take into account the content and structure information during the procedure of community detection.
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This study identifies three main CSR motivations (i.e. strategic benefits, altruism and greenwashing) and explores the relationship between CSR motivations and environmental…
Abstract
Purpose
This study identifies three main CSR motivations (i.e. strategic benefits, altruism and greenwashing) and explores the relationship between CSR motivations and environmental collaboration by considering the mediating role of environmental commitment and the moderating role of team autonomy.
Design/methodology/approach
The data collected from 336 respondents in the construction industry, structural equation modeling and bootstrapping were used to test hypotheses.
Findings
The findings show that altruistic CSR enhances environmental collaboration through enhancing environmental commitment, whereas greenwashing CSR damages environmental collaboration through reducing environmental commitment. Although there is no direct association between strategic CSR and environmental collaboration, environmental commitment mediates the effects of strategic CSR on environmental collaboration. Moreover, the positive effect of strategic CSR and altruistic CSR on environment commitment is stronger when team autonomy is stronger, whereas the negative effect of greenwashing CSR on environment commitment is weaker when team autonomy is stronger.
Originality/value
The findings contribute to the understanding of how CSR motivations can act as catalysts for collaborative efforts in addressing environmental issues within construction projects and offer theoretical understanding of team autonomy by illustrating its role in shaping organizational responses to CSR motivations. The findings can provide insights into why and how participating teams can collaborate better on environmental management, enriching the knowledge of environmental management practices in construction projects.
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Jiansen Zhao, Xin Ma, Bing Yang, Yanjun Chen, Zhenzhen Zhou and Pangyi Xiao
Since many global path planning algorithms cannot achieve the planned path with both safety and economy, this study aims to propose a path planning method for unmanned vehicles…
Abstract
Purpose
Since many global path planning algorithms cannot achieve the planned path with both safety and economy, this study aims to propose a path planning method for unmanned vehicles with a controllable distance from obstacles.
Design/methodology/approach
First, combining satellite image and the Voronoi field algorithm (VFA) generates rasterized environmental information and establishes navigation area boundary. Second, establishing a hazard function associated with navigation area boundary improves the evaluation function of the A* algorithm and uses the improved A* algorithm for global path planning. Finally, to reduce the number of redundant nodes in the planned path and smooth the path, node optimization and gradient descent method (GDM) are used. Then, a continuous smooth path that meets the actual navigation requirements of unmanned vehicle is obtained.
Findings
The simulation experiment proved that the proposed global path planning method can realize the control of the distance between the planned path and the obstacle by setting different navigation area boundaries. The node reduction rate is between 33.52% and 73.15%, and the smoothness meets the navigation requirements. This method is reasonable and effective in the global path planning process of unmanned vehicle and can provide reference to unmanned vehicles’ autonomous obstacle avoidance decision-making.
Originality/value
This study establishes navigation area boundary for the environment based on the VFA and uses the improved A* algorithm to generate a navigation path that takes into account both safety and economy. This study also proposes a method to solve the redundancy of grid environment path nodes and large-angle steering and to smooth the path to improve the applicability of the proposed global path planning method. The proposed global path planning method solves the requirements of path safety and smoothness.
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Hamid Javaherian Naghash and Ali Amiri
This paper aims to improve some properties of poly (methyl methacrylate) by copolymerization with butyl acrylate (BA) monomer along with the incorporation of the stable and…
Abstract
Purpose
This paper aims to improve some properties of poly (methyl methacrylate) by copolymerization with butyl acrylate (BA) monomer along with the incorporation of the stable and economical synthesized silicone-containing monomer hexamethyldisilazanomethacryloxyphenyl ketone (HDMK) into the copolymer matrix.
Design/methodology/approach
For this target solution copolymerization of methyl methacrylate (MMA), BA and HDMK were carried out using a 250 mL four-necked round-bottom flask. Before solution polymerization start-up, the reaction vessel was first charged with 34.8 mL toluene and heated to 170 °C with stirring and reflux cooling. A monomer mixture of 25.86 g (260 mmol) MMA, 26.40 g (200 mmol) BA, 3.00 g (8.60 mmol) HDMK and 0.45 g (2.00 mmol) dibenzoyl peroxide was added continuously from the dropping funnel over a period of 4 h.
Findings
The HDMK was successfully synthesized and the water resistance of acrylic resins was improved because of the existence of HDMK.
Research limitations/implications
The materials that were used in this research paper had a reasonably low cost. Also, the procedures for synthesis of monomers and polymers were extremely easy because there was no need for high pressure or temperature and no dangerous solvents were used.
Practical implications
The acrylic resin that contained HDMK was used to synthesis a white architectural paint for exterior coating. Examining the paint characteristics has shown acceptable washing and abrasion resistance, good brushing, excellent storage stability and great surface coating.
Originality/value
HDMK was synthesized for the first time.
Details
Keywords
Xiaodong Wu, Junfeng Shi, Fujun Chen and Yaru Wang
The purpose of this paper is to present a new approach for selecting the good heavy oil reservoirs to develop preferentially, which can avoid the huge economical loss resulted…
Abstract
Purpose
The purpose of this paper is to present a new approach for selecting the good heavy oil reservoirs to develop preferentially, which can avoid the huge economical loss resulted from wrong decision.
Design/methodology/approach
A new method of ranking the development priority of heavy oil reservoir is present, in which the neural network is applied for the first time to acquire reservoir parameters' weights through training samples and the genetic algorithm is used to optimize the joint weighs of neurons in case that neural network falling into local minimum. Additionally, the paper establishes subordinate function of every parameter. Eventually, comprehensive evaluation values of all heavy oil reservoirs are obtained.
Findings
The method can ensure the veracity and creditability of the parameters' weights, avoid the randomicity brought by experts.
Research limitations/implications
Accessibility of the data of many heavy oil reservoirs is the main limitation.
Practical implications
A very useful and new method for the decision makers of heavy oil reservoirs development.
Originality/value
The new approach of ranking the development priority of heavy oil reservoir based on the neural network and the genetic algorithm. The paper is aimed at the leaders who manage the development of heavy oil reservoirs.
Details
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Meiling Wang, Qin Li, Zhiqiang Huang, Weiji Qian, Xiong Chen, Qiang Li and Tianhua Lai
This study aims to solve the premature failure of the rubber stator due to wear, reduce the frictional resistance moment of the screw pump to solve the problem of a model of…
Abstract
Purpose
This study aims to solve the premature failure of the rubber stator due to wear, reduce the frictional resistance moment of the screw pump to solve the problem of a model of Daqing oilfield screw pump oil recovery system shutdown after the difficult start.
Design/methodology/approach
For the first time, the rotor surface of a screw pump was treated with dot-matrix texture to study the effect of dot matrix texture on the tribological performance of the stator-rotor friction subsets of screw pump. Reciprocating friction tests with different texture morphologies (S-shape, double tongue) and angular parameters (0°, 45° and 90°) were conducted at 10% of the texture area and pump silicone grease.
Findings
When point texture was added to the surface of the rotor sample, the friction coefficient and wear quantity of the sample were lower than those of the surface without texture treatment, and the double tongue 0° combination showed the best tribological properties. At this time, the average coefficient of friction and wear is reduced by 22.8% and 62%, 28.6% and 64.8%.
Originality/value
The introduction of texture can effectively improve the tribological performance of progressive screw pumps, and this paper provides important theoretical and experimental support for the design of progressive screw pumps in practical applications.