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This study aims to investigate the wetting behavior of AgCuTi and AgCu filler metals on selective laser melting (SLMed) Ti/TiB₂, and to analyze the microstructure and fracture characteristics of SLMed Ti/TiB₂/AgCuTi or AgCu alloy/SLMed Ti/TiB₂ brazed joints. The wetting behavior of AgCuTi and AgCu filler metals on the selective laser melted (SLMed) Ti/TiB₂ has been studied. The analysis of microstructures and fracture characteristics in vacuum-brazed SLMed Ti/TiB₂ substrate, using AgCuTi and AgCu filler metals, has been conducted to elucidate the influence of brazing temperature and alloy composition on the shear strength of the brazed joints.

Brazing SLMed-Ti/TiB₂ in a vacuum using AgCuTi and AgCu filler metals, this study aims to explore the optimal parameters for brazed joints at various brazing temperatures (800°C−950°C).

The findings suggest that elevated brazing temperatures lead to a more extensive diffusion region in the joint as a result of the partial melting of the filler metal. The joint composition changes from distinct Ti₂Cu layer/TiCu layer/filler metal to a-Ti (ss) + ß-Ti (ss)/TiCu. As the brazing temperature increases, the fracture mode shifts from brittle cleavage to ductile fracture, mainly attributed to a decrease in the CuTi within the brazed joint. This change in fracture behavior indicates an improvement in the ductility and toughness of the joint.

The originality of this study lies in the comprehensive analysis of the microstructure and shear strength of vacuum brazing SLMed Ti/TiB₂ using AgCuTi and AgCu filler metals.

Not much is known about the conditions under which the negative relationship between co-worker undermining and employee outcomes may wax or wane. This study seeks to address this issue by analysing the role of leadership in mitigating the negative impact of co-worker undermining on employee outcomes. Drawing on expectancy violation theory (EVT), the study proposes that servant leadership will alleviate the association between co-worker undermining, emotional exhaustion and consequently organisational commitment.

Two-wave time-lagged data were collected from a sample of 345 nurses working under 33 supervisors in a large public hospital in Malaysia. To account for the nested nature of the data, generalised multilevel structural equation modeling (GSEM) in STATA was used to test the hypotheses.

After controlling for transformational leadership, co-worker undermining was indirectly related to organisational commitment via emotional exhaustion, and this indirect relationship was weaker when servant leadership was high.

Organisations need to invest in interventions that help reduce co-worker undermining and put emphasis on promoting servant leadership.

The study extends the literature by introducing EVT as a new theoretical lens to analyse the consequences of co-worker undermining on employee outcomes. The study also addresses calls for research on the role of leadership in ameliorating the negative consequences of co-worker undermining.

The purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart library. A novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich knowledge and services conveniently.

First, local and global features of images are extracted, and the visual dictionary is generated by the k-means clustering. Second, the mobile visual search model based on the bag-of-words (BOW) and multiple semantic associations is constructed. Third, the mobile visual search service system of the smart library is designed in the cloud environment. Furthermore, Dunhuang mural images are collected to verify this model.

The findings reveal that the BOW_SIFT_HSV_MSA model has better search performance for Dunhuang mural images when the scale-invariant feature transform (SIFT) and the hue, saturation and value (HSV) are used to extract local and global features of the images. Compared with different methods, this model is the most effective way to search images with the semantic association in the topic, time and space dimensions.

Dunhuang mural image set is a part of the vast resources stored in the smart library, and the fine-grained semantic labels could be applied to meet diverse search needs.

The mobile visual search service system is constructed to provide users with Dunhuang cultural services in the smart library. A novel mobile visual search model based on BOW and multiple semantic associations is proposed. This study can also provide references for the protection and utilization of other cultural heritages.

Dunhuang murals are rich in cultural and artistic value. The purpose of this paper is to construct a novel mobile visual search (MVS) framework for Dunhuang murals, enabling users to efficiently search for similar, relevant and diversified images.

The convolutional neural network (CNN) model is fine-tuned in the data set of Dunhuang murals. Image features are extracted through the fine-tuned CNN model, and the similarities between different candidate images and the query image are calculated by the dot product. Then, the candidate images are sorted by similarity, and semantic labels are extracted from the most similar image. Ontology semantic distance (OSD) is proposed to match relevant images using semantic labels. Furthermore, the improved DivScore is introduced to diversify search results.

The results illustrate that the fine-tuned ResNet152 is the best choice to search for similar images at the visual feature level, and OSD is the effective method to search for the relevant images at the semantic level. After re-ranking based on DivScore, the diversification of search results is improved.

This study collects and builds the Dunhuang mural data set and proposes an effective MVS framework for Dunhuang murals to protect and inherit Dunhuang cultural heritage. Similar, relevant and diversified Dunhuang murals are searched to meet different demands.

The main aim of the chapter is to examine the prevalence of Slavic and, more specifically, Slovenian mythological elements in Slovenian heavy metal music. No such analysis had previously been attempted, so a database had to be established anew. Encyclopaedia Metallum: The Metal Archives (MA) was chosen as the most comprehensive available source on metal music, supplemented by information gleaned from other sources. All 290 bands listed as Slovenian on MA were inspected for evidence of Slavic and Slovenian mythological content. Each band's name, genre, lyrical themes as listed in their profile, song titles, and lyrics were taken into account. The compiled corpus was then analysed in terms of information availability, prevailing languages used by the bands, and, subsequently, their relation to Slovenian mythological heritage. The search for Slavic and Slovenian mythological content began with keyword-based computer-assisted analysis followed by manual annotation. Elements directly concerning the Slavic mythos, Slovenian legends, and folk tales, were featured in a ‘Slavic content database’, their suitability ascertained through inclusion in prominent publications on the topic, e.g. Mikhailov (2002), Ovsec (1991), and Šmitek (2004, 2006). The acquired results were then divided into seven categories in order of prevalence, namely, deities, mythical creatures, history, nature, literary references, mythical places and phenomena, and idiosyncratic folklore. Our intention was to also present the contents of each category in a short overview aimed at acquainting the reader with individual phenomena, yet only the most prominent two categories could be presented here due to spatial constraints. The remaining categories will be dealt with in more detail in a follow-up paper. The findings featured will also enable the commencement of the second part of the research, a qualitative analysis of the afore-mentioned ‘Slavic content database’.

This paper aims to investigate the relationship between sentiment and review helpfulness and develop a method to fully use sentiment features in review helpfulness assessment. In addition, this paper explores whether product type influences evaluating review helpfulness.

First, a high-quality data set with a manually coded helpfulness score was constructed. Second, detailed research question methods were conducted. Finally, methods were applied to the data set to extract information gain and sentiment scores. Gradient boosting and random forest methods were used to classify the data set with these features through recall, precision and F-measure to understand the research questions.

Review sentiment has a deep relationship with review helpfulness, and it can be a strong predictor of review helpfulness by refining it into more detailed scores; a combination of sentiment scores and information gain works very well on classification for two product types. Product type does not show a significant influence on helpfulness assessment.

This paper provides a different perspective for measuring review sentiment by clarifying the relationship between sentiment and review helpfulness, analysing the role of product type in review helpfulness assessment, and proposing a high-value feature combination. In addition, the author believes that the assessment method can be effectively applied to practical works.

The prevalence of digital reading and the widespread use of social media among young people demands systematic exploration of the effects of social media addiction on students' reading practice. This paper aims to explore the effects of social media addiction on reading preferences, in-depth reading and sustained attention.

Survey and analysis methods are employed.

For many, social media provides an ideal platform of connection and expression; however, prolonged social media use holds the danger of becoming a behavioral addiction that threatens to undermine one's reading practice. Social media use tends to have a more significant impact on leisure reading than on academic reading. Obsessive engagement with social media hurts reading concentration and in-depth reading. While a majority (70.4%) of those surveyed believed that chronic social media use carries more harm than good on their learning, only half (50.1%) agreed or strongly agreed that today's students are too indulged in social media and need forceful control of it.

Implications of the effects of social media on reading practice are discussed, and directions for future research are suggested. It is likely that social media will continue to be seductive, attracting new generations of young people. Future research should explore prevention strategies.

Since smartphones became ubiquitous, online grocery and food purchases through take-away delivery platforms have steadily increased in China. Nevertheless, whether the development of take-away delivery can ameliorate urban–rural wage inequality still requires further analysis. The purpose of this paper is to clarify whether this positive effect exists.

This paper makes estimations based on city and individual levels combining the Chinese Household Income Project (CHIP) 2008, CHIP 2013, CHIP2018 survey data and the take-away delivery site data. At the city level, the Oaxaca-Blinder (O-B) decomposition method is employed to construct wage inequality index of urban and rural labors. At the individual level, this paper analyzes urban–rural wage differentials with high or low formal education level.

The rapid establishment of take-away delivery sites has resulted in an increase of 52.425 yuan on average in the annual wage of rural labors with low formal education level. When the cumulative number of sites increases by 1 unit, the annual wage inequality index decreases by 0.007 on average. Labors with the characteristics of rural household registration and low education can enjoy more dividends. Through inter-/within-industry decomposition, this paper elaborates formal education, age and cross-industry transfer as the main factors for the improvement of urban–rural wage inequality. Narrowing effect of wage differences between different groups in multiple sample slices also contributes to the mechanism analyses.

To the best of the author’s knowledge, this paper is the first to analyze the impact of take-away delivery development on the urban–rural wage inequality from the perspective of the establishment of take-away delivery sites. This empirical study will enrich the existing theoretical perspectives on urban–rural divide under the emergence of new forms of employment. The results indicate that new forms of employment represented by take-away delivery can not only promote economic growth, but also eliminate urban–rural inequality.

Aspects extracted from the user’s historical records are widely used to define user’s fine-grained preferences for building interpretable recommendation systems. As the aspects were extracted from the historical records, the aspects that represent user’s negative preferences cannot be identified because of their absence from the records. However, these latent aspects are also as important as those aspects representing user’s positive preferences for building a recommendation system. This paper aims to identify the user’s positive preferences and negative preferences for building an interpretable recommendation.

First, high-frequency tags are selected as aspects to describe user preferences in aspect-level. Second, user positive and negative preferences are calculated according to the positive and negative preference model, and the interaction between similar aspects is adopted to address the aspect sparsity problem. Finally, an experiment is designed to evaluate the effectiveness of the model. The code and the experiment data link is: https://github.com/shiyu108/Recommendation-system

Experimental results show the proposed approach outperformed the state-of-the-art methods in widely used public data sets. These latent aspects are also as important as those aspects representing the user’s positive preferences for building a recommendation system.

This paper provides a new approach that identifies and uses not only users’ positive preferences but also negative preferences, which can capture user preference precisely. Besides, the proposed model provides good interpretability.

Service innovation, ICT-enabled services, museum, cultural and creative industries.

Graduate-level courses of “Innovation Management,” “Service Innovation,” or “Cultural and Creative Industries”.

In 2006, the National Palace Museum (NPM) in Taipei, Taiwan, announced its new vision “Reviving the Charm of an Ancient Collection and Creating New values for Generations to Come”. In recent years, the NPM has been shifting its operational focus from being object-oriented to being public-centered, and the museum has held not only the physical forms of artifacts and documents but also their digital images and metadata. These changes would inject new life into historical artifacts. In addition, archives as its collections would be given a refreshingly new image to the public and become connected with people's daily lives. Among these endeavors for displaying historical artifacts online and prevailing Chinese culture in the modern age, the key issues are related to digital technology applications and service innovations. The service innovations would be further divided into information and communication technologies (ICT)-enabled ones and non-ICT-enabled ones. These shifts clearly claim that adopting digital technologies and innovative services can bring positive impacts to the museum. The NPM administrative team wants to keep infusing life into ancient artifacts and texts, sustaining curiosities of the public for Chinese culture and history, and invoking their interests to visit the NPM in person. However, to develop for the future while reviewing the past, the NPM administrative team has to meditate on the next steps in terms of implementation of service innovations.

Students will learn motivations of digital establishment and service innovations from the organization perspective and the necessities of technological implementation. Students will understand the difference in innovations between ICT-enabled services and non-ICT-enabled services. Students would be able to understand the process of developing a new service. Students will be aware of challenges the organization would face in developing a new service.

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