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To investigate the effects of hot oil carrying (HOC), the purpose of this paper is to present a new calculation method of oil film temperature which takes the effects into account and defines the factor of HOC.

Based on finite volume method, the paper studied the temperature characteristics in high speed and the condition of variable viscosity from the temperature field and flow field of the film, and the thermal rule of HOC is revealed. The theoretical values are in good agreement with the experimental results.

The results show that, for this structure of hydrostatic bearing, the phenomenon of HOC does not occur until the work speed is more than 10 r/min under any load condition. And it always happens in the total range of load, from 0 to 320 kN, when the speed is over 60 r/min. Moreover, the film temperature increases sharply, when the phenomenon happens in high speed, and the influence of the speed is greater than the effect of load on the temperature rise.

The results would help to increase the speed of CNC machine tools and the design on structure of the bearing in engineering practice.

As a distinctive form of communist heritage tourism, the ideology and government-led form of red tourism warrants an in-depth examination of how tourists consume and perceive it. This study aims to reveal tourists’ perception of red tourism through the lens of destination image.

This study collected 9,819 user-generated photographs within four types of red tourism destinations (RTDs) and used a computer visual and semiotic analysis approach to conduct photograph-based cognitive and affective attributes extraction. Network analysis further visualized the co-relations between cognitive images and affective images. ANOVA analysis compared the differences of the four types of destination images.

Ten dimensions of cognitive image and eight categories of affective image of red tourism were identified. It found that monuments, statues, memorial symbols were the distinctive cognitive features, and admiration was the most dominant emotion. Heterogeneity of destination images was identified among the four types of RTDs.

To the best of the authors’ knowledge, the study is one of the first to explore tourists’ consumption of red tourism through the lens of destination image, which reveals the inconsistencies between the officially projected images and tourists’ perceived images of red tourism. Using Plutchik’s model, it validates a series of positive and negative emotions contributing to the affective images of red tourism, which expands the findings of emotions within the extant red tourism research. Through combined applications of computer visual and semiotic analysis, ANOVA, network analysis and model visualization, the study provides an important methodological triangulation for photograph-based destination image studies.

红色旅游作为共产主义旅游的独特形式, 游客如何感知这种国家意识形态植入与政府主导型旅游值得深入研究。本研究旨在从目的地意象视角揭示游客红色旅游感知。

本研究收集四种类型的红色旅游地9819张用户生成照片, 利用计算机视觉-情感析法对照片进行认知和情感元素提取。复杂网络分析揭示了认知意象与情感意象之间的关联。方差分析比较了四种红色旅游地意象的差异。

本研究确定了红色旅游认知意象的十个维度和情感意象的八个类别。研究发现, 纪念碑、雕像、纪念符号是其独特的认知意象元素, 钦佩是其最主要的情感，四种类型红色旅游地意象存在差异性。

本文是同类研究中首次从目的地意象视角探索游客对红色旅游地感知, 揭示了红色旅游官方投射意象与游客感知意象之间的差异。利用Plutchik情感之轮模型, 验证了一系列积极和消极情绪构成红色旅游地情感意象, 拓展了红色旅游的情感发现。综合运用计算机视觉-情感分析、方差分析、网络分析和模型可视化等方法, 为基于照片的旅游目的地意象研究提供了一个重要方法。

Como forma distintiva del turismo del patrimonio comunista, la ideología y la forma gubernamental del turismo rojo justifican un examen en profundidad de cómo lo consumen y perciben los turistas. Este estudio pretende revelar la percepción que tienen los turistas del turismo rojo desde la perspectiva de la imagen del destino.

Este estudio recopiló 9.819 fotografías generadas por los usuarios dentro de cuatro tipos de destinos de turismo rojo, y utilizó un enfoque de análisis visual y semiótico por ordenador para llevar a cabo la extracción de atributos cognitivos y afectivos basados en fotografías. El análisis de redes visualizó además las correlaciones entre las imágenes cognitivas y las imágenes afectivas. El análisis ANOVA comparó las diferencias de los cuatro tipos de imágenes de destino.

Se identificaron diez dimensiones de imagen cognitiva y ocho categorías de imagen afectiva del turismo rojo. Se descubrió que los monumentos, las estatuas y los símbolos conmemorativos eran los rasgos cognitivos distintivos, y la admiración la emoción más dominante. Se identificó una heterogeneidad de imágenes de destino entre los cuatro tipos de destinos de turismo rojo.

El estudio es uno de los primeros en explorar el consumo de turismo rojo por parte de los turistas a través de la lente de la imagen del destino, lo que revela las incoherencias entre las imágenes proyectadas oficialmente y las imágenes percibidas por los turistas del turismo rojo. Utilizando el modelo de Plutchik, valida una serie de emociones positivas y negativas que contribuyen a las imágenes afectivas del turismo rojo, lo que amplía los hallazgos sobre las emociones dentro de la investigación existente sobre el turismo rojo. Mediante aplicaciones combinadas de análisis visual y semiótico por ordenador, ANOVA, análisis de redes y visualización de modelos, el estudio proporciona una importante triangulación metodológica para los estudios de la imagen del destino basados en fotografías.

The purpose of this paper is to investigate the effect of conspicuous consumption on brand attitudes in the context of luxury brands market in China.

Two studies are conducted to test three hypotheses. In Study 1, the authors examine the mediating effect of self-brand association (SBA) on the relationship between social class and conspicuous consumption (H1 and H2); In Study 2, the authors examine the effect of observing others’ conspicuous consumption on the observer’s SBA (H3).

Results show that SBA negatively mediates the relationship between social class and conspicuous consumption. Moreover, the negative effect on SBA of observing conspicuous brand usage varies by social class.

The current study focused on the principal linkage between social class, SBA and conspicuousness, and future research could examine the influence of different personality traits on luxury consumption or the existence of sub-types or variants of conspicuous brand users.

The present study has important implications for luxury brand management, and provides rich insights to consumers’ motivations that lead to distinctive luxury consumption behaviors.

Research on nonschool settings suggests young people benefit from digital multimodal composition. Less is known about how digital composing can support students as they interpret required literary class texts. To understand the potential benefits and challenges of digitally composing for literary analysis, design interviews with two high school students were conducted to examine their processes as they designed digital multimodal compositions to interpret Anglo-Saxon poems. Grounded in the social semiotic theory of multimodality, this study aims to examine how students engaged in literary analysis and interpretive digital composition within secondary ELA.

Qualitative classroom data were collected through digital means over a six-week period: a whole-class student survey, focal student semistructured design interviews, emails, field notes, analytic memos and student-created digital artifacts.

Students’ print-based literary engagements and digital multimodal composition processes were mutually shaped. Additionally, digital multimodal composition offered entry points into challenging print-based literary texts, resulting in understandings enacted across multiple forms of mediation.

The study focused on one cycle of multimodal composition. Additional studies of students’ digital multimodal composition processes in ELA classrooms over time could be beneficial to the field.

The study identifies an approach to digital multimodal composition that may help teachers address and integrate core disciplinary objectives.

This study contributes to scholarship concerned with how “new” technologies and “old” literacies co-exist in contexts requiring students to engage in expanded communication modes alongside specific academic literacies.

The purpose of this paper is to improve the customer satisfaction by offering online personalized recommendation system.

By employing an innovative associative classification method, this paper is able to predict a customer’s pleasure during the online while-recommending process. Consumers can make an active decision to recommended products. Based on customer’s characteristics, a product will be recommended to the potential buyer if the model predicts that he/she will click to view the product. That is, he/she is satisfied with the recommended product. Finally, the feasibility of the proposed recommendation system is validated through a Taobao shop.

The results of the experimental study clearly show that the online personalized recommendation system maximizes the customer’s satisfaction during the online while-recommending process based on an innovative associative classification method on the basis of consumer initiative decision.

Conventionally, customers are considered as passive recipients of the recommendation system. However, customers are tired of the recommendation system, and they can do nothing sometimes. This paper designs a new recommendation system on the basis of consumer initiative decision. The proposed recommendation system maximizes the customer’s satisfaction during the online while-recommending process.

Introduction: The insurance sector provides security to society by pooling resources to manage risks. Insurers’ improved ability to analyse risks by examining vast amounts of granular data has considerably refined this technique. Compiling and analysing the fine data sets is now transformed into the ‘Big Data’ technique. The introduction of big data analytics (BDA) is transforming the insurance industry and the role data plays in insurance.

Purpose: This chapter will attempt to examine the applications and role of big data in the insurance sector and how big data affects the different insurance segments like health insurance, property and casualty, and travel insurance. This chapter will also describe the disruptive impact of big data on the insurance market.

Methodology: Systematic research is carried out by analysing case studies and literature studies, emphasising how BDA is revolutionary for the insurance market. For this purpose, various articles and studies on BDA in the insurance market are selected and studied.

Findings: The execution of big data is continuously increasing in the insurance sector. The performance of big data in the insurance market results in cost reduction, better access to insurance services, and more fraud detection that benefits the customers and stakeholders. Therefore, big data has revolutionised the insurance market and assisted insurers in targeting customers more precisely.

Social media greatly enhances public access to health information and thus attracts older adults who tend to attach more importance to their health. This study aims to identify the factors that contribute to the likelihood of older adults' health information sharing on social media.

By drawing on health belief (HBM) and elaboration likelihood models (ELM), a novel conceptual model integrating older adults' health belief and information processing is established to uncover the factors. Online survey data from 290 Chinese older adult users of WeChat, the most popular social media platform in China, were collected to test the research model.

As health belief-related variables, perceived susceptibility is positively associated with health information-sharing intention (HISI), while perceived severity negatively influences HISI, which is contrary to prior findings. For information processing, the positive impacts of argument quality and source credibility on HISI are fully mediated by perceived usefulness.

This study is one of the first studies to explore the initiative use of information and communication technology among older adults. The new theoretical perspective proposed herein considers health belief and information processing perspectives in a complementary manner and can facilitate an overall analysis of the factors influencing older adults' HISI in a social media context. This study also furthers understandings of the ELM and expands the theory of HBM to take the age of decision makers into account.

In the past decade, library literature has witnessed a spate of studies documenting different aspects of Collaborative Virtual Reference Services (CVRS) and a significant amount of valuable information is spread across numerous individual reports. With the support of the Institute for Museum and Library Services, the authors of this chapter undertook a synergistic effort to examine these studies and identify the popular governance models as well as shared challenges and benefits. They conducted a supplementary survey of librarians with personal experience working in CVRS. The authors found that while collaborative structures are myriad, many utilize similar staffing and management strategies. Benefits of CVRS include shared staffing responsibilities, the extension of service hours, professional and community development, access to specialists, and mitigating the risks of a new service, while challenges include answering local questions, cultural differences, and software and technology problems. The literature on CVRS primarily focuses on single collaborations. While these in-depth examinations are valuable, they cannot provide a “big picture” of how libraries may work together to provide a service. As budgets shrink and ICT-facilitated connections grow, collaboration is an option to which many libraries are turning to for the provision of reference as well as other services. The quality of such collaborations may be improved by considering the lessons presented in this chapter, resulting in better service.

Graduated compression shaping pants (GCSPs) are shapewears sharing the same action mechanisms as medical compression stockings (MCSs), setting four stages of pressure on lower limbs that gradually decreasing from the ankle to the thigh root. They are claimed to be able to not only shaping bodies but also promoting blood circulation in legs. However, there are few studies on whether GCSPs perform the advertised functions and how effective GCSPs could be. The purpose of this paper is to explore and evaluate the pressure distribution and body-shaping effectivity of GCSPs.

The authors first select two graduated compression shaping pants (GCSPs-A, GCSPs-B) and a pair of professional shaping pants as the Controls. Then objective pressure test and 3D body scanning test are conducted. Finally, the pressure distribution and body-shaping effectivity are demonstrated by ORIGIN and MATLAB, compared with controls.

GCSPs-A perform significant body-shaping effectivity at the calf, thigh and thigh root, which are less effective than the Controls. The body-shaping effectivity of GCSPs-B is predicted weaker than GCSPs-A at the calf and thigh, while better at the thigh root. Both GCSPs-A and GCSPs-B show gradual pressure, which could be classified into Class I or II of MCSs. Comprehensively, GCSPs-A are superior than GCSPs-B.

In this paper, authors evaluate the pressure distribution and body-shaping effectivity of GCSPs, which could provide guidance for enterprises to further optimize and produce GCSPs, performing better functions that meet consumers' needs better.

This study examines the effect of festival visitors' emotional solidarity and segmentation on revisiting intentions to Ghana for the Panafest/Emancipation festivals during the COVID-19 pandemic.

The study utilised data from a self-completed survey administered to festival-goers who attended the Panafest and Emancipation festivals in 2019 and 2021. In 2019, 782 questionnaires were sent to participants out of which 446 responded to the questionnaires. However, in 2021, 567 questionnaires were administered to the festival participants out of which 296 responded to the questionnaires. Multiple linear regression was performed using the ordinary least square (OLS) estimation technique.

The study found that emotional solidarity, gender, age, educational background and place of residence are important factors in predicting whether festival visitors will revisit Ghana for the Panafest and Emancipation festivals or not. Emotional solidarity was a positive predictor of revisit intentions, while gender and age also played a role with male and older visitors being more inclined to revisit Ghana for the festivals. The educational background had a positive and significant effect in 2021 but was insignificant in 2019. Place of residence had a significant but negative effect in 2021 due to the emergence of COVID-19.

The study's findings suggest that stakeholders in Ghana's tourism industry, including the Ministry of Tourism, Arts and Culture, Ghana Tourist Authority, hotels and other hospitality services, should consider emotional solidarity and visitor segmentation when developing marketing strategies. Additionally, strategies to address the impact of COVID-19 on revisit intentions and spending should be considered.

This study contributes to the understanding of the factors that influence festival visitors' revisit intentions in Ghana and how the emergence of COVID-19 affects these intentions. The study's focus on emotional solidarity and visitor segmentation provides insights into developing effective marketing strategies in the tourism industry.