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This paper aims to describe librarians’ efforts in reaching out to international students through vernacular language videos at both the University of Colorado Boulder and the University of Oregon. The videos were created to help international students familiarize themselves with the new library environment and to stimulate their interest in the future exploration of library resources and services.

This paper discusses the challenges of providing effective support to international students in the early stages of their academic life in the USA, explains the rationale for using vernacular language videos as a means of outreach to international students, outlines the factors considered in designing the videos that helped achieve the outreach goals and reviews promotion needs and assessment methods for evaluating the effectiveness of the videos.

Using online videos in native languages as a means to extend the reach of the libraries to international students is seen as useful and practical. Feedback from students and library colleagues shows positive reaction to the videos and provides encouragement for further outreach efforts to international students.

The strategies and experiences detailed here are easily adaptable to other institutions of higher education committed to developing outreach programs for international students.

The novelty of this case study is the librarians’ sophisticated thinking in developing vernacular language videos as a means of outreach to international students. The video project presented in the paper can function as an inspiring example for institutions preparing for the expected large influx of international students.

This study aims to provide a historical understanding of conspicuous consumption phenomena in the context of the UK, between 1945 and 2000. It considers how status-driven consumption has been shaped by economic, technological and cultural factors.

Adopting a periodization scheme, concerning two time structures between 1945 and 2000, this paper is based on research stemming from a wide range of data such as academic studies, research articles, narrative history books, past advertisements, novels and biographies. Rich interdisciplinary data from the realms of political economy, sociology, cultural geography and consumption studies have been synthesized so as to provide a marketing-oriented historical outlook on conspicuous consumption phenomena.

Status-driven consumption in the UK has been heavily influenced by economic policies, cultural changes and public perceptions towards wealth during the second half of the twentieth century. Post-war rationing, youth-driven fashion, free-market economics and technological advances have played a crucial role in forming consumers’ tastes and engagement with ostentatious economic display.

Although the vast majority of marketing studies have approached luxury consumption through a psychological angle, this examination identifies the capacity of historical research to uncover and highlight the interrelationships between socio-economic factors and status-motivated consumption.

In this paper, the authors aim to study the relationship between hydrogen embrittlement (HE) susceptibility and cathodic current density applied on the X70 steel girth welds.

The HE susceptibility of X70 steel girth welds were investigated through slow strain rate tensile test and observed and analyzed by optical microscope and scanning electron microscope methods.

The results show that HE susceptibility of X70 girth weld was basically unchanged with increasing of ion concentration while gradually increased and maintain at a specific value with the increase of cathodic current density. As for same ion content, a dense calcareous deposit layer generated on the sample surface in soil simulation solution with Ca2+ and Mg2+ resulted a decreased HE susceptibility while the porous calcareous deposit layer resulted a increased HE susceptibility.

A logistic regression model was established to describe the correlation between HE index and the cathodic current density.

This paper aims to achieve automatically surface segmentation for painting different kinds of aircraft efficiently considering the demands of painting robot.

This project creatively proposed one method that accepts point cloud, outputs several blocks, each of which can be handled by ABB IRB 5500 in one station. Parallel PointNet (PPN) is proposed in this paper for better handling six dimensional aircraft data including every point normal. Through semantic segmentation of PPN, each surface has its own identity information indicating which part this surface belongs to. Then clustering considering constraints is applied to complete surface segmentation with identity information. To guarantee segmentation paintable and improve painting efficiency, different dexterous workspaces of IRB 5500 corresponding to different postures have been analyzed carefully.

The experiments confirm the effectiveness of the proposed surface segmentation method for painting different types of aircraft by IRB 5500. For semantic segmentation on aircraft data with point normal, PPN has higher precision than PointNet. In addition, the whole algorithm can efficiently segment one complex aircraft into qualified blocks, each of which has its own identity information, can be painted by IRB 5500 in one station and has fewer edges with other blocks.

As the provided experiments indicate, the proposed method can segment one aircraft into qualified blocks automatically, which highly improves the efficiency in aircraft painting compared with traditional approaches. Moreover, the proposed method is able to provide identity information of each block, which is necessary for application of different paint parameters and different paint materials. In addition, final segmentation results by the proposed method behaves better than k-means cluster on variance of normal vector distance.

Inspired by semantic segmentation of 3 D point cloud, some improvements based on PointNet have been proposed for better handling segmentation of 6 D point cloud. By introducing normal vectors, semantic segmentation could be accomplished precisely for close points with opposite normal, such as wing upper and lower surfaces. Combining deep learning skills with traditional methods, the proposed method is proved to behave much better for surface segmentation task in aircraft painting.

The development of an effective corporate vision is a necessary issue for corporate performance, and it is a key issue for corporate sustainable development as well. The recognition of questions like “what is the role of corporate vision in corporate performance” is directly related to the attitude and practice of entrepreneurs and managers toward the development of corporate vision as well as the effectiveness of the corporate vision itself. To better answer the questions concerning the role of corporate vision development and effectively guide the practice of corporations, the authors study the pathways and mechanisms by which corporate visions operate to assist businesses in achieving high performance.

The article completes the construction of indicators to measure each dimension of the corporate vision in line with social cognitive theory and analyzes the relationship between corporate vision and corporate performance by combining qualitative comparative analysis (QCA) and necessary condition analysis (NCA) research methods. The article provides insights into the logic of constructing and adjusting corporate visions from a process perspective.

The mechanisms by which corporate visions can be articulated, accepted and transformed within the organization are also the means by which corporate visions can improve corporate performance. In a dynamic environment, the corporate vision setting and acceptance process integrates the requirements of various stakeholders, leading to the adjustment and acceptance of the corporate vision. As a result, the vision has continuous validity in a changing environment. Both start-ups and non-start-ups can benefit from the guidance provided by a strong corporate vision in overcoming a variety of issues and obstacles to produce strong business performance.

This is the first study that shows the relationship between corporate vision and corporate performance from a process perspective. The authors are interested in understanding which characteristics for building a corporate vision are more accepted by organizational members and, in turn, create high corporate performance. The authors also explore the conditions for corporate vision acceptance. This research has positive implications for shedding some light on the mechanisms by which corporate visions improve corporate performance.

To paint large workpieces automatically, painting manipulators with hollow wrists must be transported by mobile platforms to different positions because of their limited workspaces. This paper aims to provide a visualization method for finding appropriate base positions (BPs) and maximum painting areas for manipulators.

This paper begins by analyzing the motion characteristics of manipulators possessing a spherical wrist and summarizing them into three constraints – positioning, orientation and singularity avoidance. The hollow wrist is simplified and considered as spherical by introducing the concepts of an inner wrist center and an outer wrist center. Taking the three constraints into consideration, the boundaries of the manipulating space are formulated analytically. Finally, to verify the method, the space obtained is applied to determine the maximum painting areas for flat, cylindrical and conical surfaces. Experiments of robotic painting were used to confirm the results.

Compared with previous studies, the maximum areas obtained using the proposed method increased by 17-131 per cent with an algorithm of lower complexity, and the process remained visually intuitive, thereby demonstrating that the method of manipulating space is more effective.

Such a method allows individuals to visualize the entire painting area at the current BP, thereby maximizing painting areas or optimizing BPs. It opens a black box that is the relationship between BPs and blocks. The method can also be used to choose the best configuration for painting manipulators, select the end-effector structure parameters, split surfaces into blocks, etc.

It is a challenge to print a model with the size that is larger than the working volume of a three-dimensional (3D) printer. The purpose of this paper is to present a feasible approach to divide a large model into small printing parts to fit the volume of a printer and then assemble these parts into the final model.

The proposed approach is based on the skeletonization and the minima rule. The skeleton of a printing model is first extracted using the mesh contraction and the principal component analysis. The 3D model is then partitioned preliminarily into many smaller parts using the space sweep method and the minima rule. The preliminary partition is finally optimized using the greedy algorithm.

The skeleton of a 3D model can effectively represent a simplified version of the geometry of the 3D model. Using a model’s skeleton to partition the model is an efficient way. As it is generally desirable to have segmentations at concave creases and seams, the cutting position should be located in the concave region. The proposed approach can partition large models effectively to well retain the integrity of meaningful parts.

The proposed approach is new in the rapid prototyping field using the model skeletonization and the minima rule. Based on the authors’ knowledge, there is no method that concerns the integrity of meaningful parts for partitioning. The proposed method can achieve satisfactory results by the integrity of meaningful parts and assemblability for most 3D models.

This paper aims to explore how typical personal, interpersonal and environmental factors influence entrepreneurs' growth aspirations by investigating the impact mechanism of entrepreneurial competency and guanxi on the growth aspirations of small tourism entrepreneurs in a dynamic environment.

Applying social cognitive theory (SCT) and business growth theory (BGT), this research uses confirmatory factor analysis and structural equation modeling (SEM) based on the questionnaire survey data of 371 small tourism business owners/owner-managers to test the relationship between entrepreneurial competency, guanxi and growth aspirations, with self-efficacy as a mediator and environment dynamism as a moderator.

The findings indicate that entrepreneurial competency is a more direct and significant factor than guanxi in facilitating the entrepreneurial growth aspirations in small tourism enterprises (STEs). Entrepreneurial competency and guanxi can both enhance entrepreneurs' self-efficacy, which then affects their aspirations to grow their business. Self-efficacy is a critical predictor of entrepreneurs' growth aspirations in STEs, although its effect is weakened by environmental dynamism.

This study expands the integrated application of SCT and BGT in tourism context, providing a more comprehensive and nuanced interpretation of the growth aspirations of entrepreneurs in STEs. It sheds more light on the effect of different entrepreneurial capital on growth aspirations and provides managerial implications accordingly.

Many waste-to-energy (WTE) plants are constructed and operated using the public-private partnership (PPP) mode in China. However, risk events of PPP WTE incineration projects sometimes occur. This study aims to clarify the relationship of risks in China's PPP WTE incineration projects and identify the key risks accordingly and risk transmission paths.

A risk list of PPP WTE incineration projects was obtained based on literature analysis. Moreover, a hybrid approach combining fuzzy sets, decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) was developed to analyze the causality of risks, explore critical risks and reveal the risk transmission paths. The quantitative analysis process was implemented in MATLAB.

The results show that government decision-making risk, government credit risk, government supervision behavior risk, legal and policy risk, revenue and cost risk and management capacity risk are the critical risks of PPP WTE incineration projects in China. These critical risks are at different levels in the risk hierarchy and often trigger other risks.

Currently, there is a lack of exploration on the interaction between the risks of PPP WTE incineration projects. This study fills this gap by examining the key risks and risk transfer pathways of PPP WTE incineration projects from the perspective of risk interactions. The findings can help the public and private sectors to systematically understand the risks in PPP WTE incineration projects, thus enabling them to identify the risks that need to be focused on when making decisions and to optimize risk prevention strategies. The proposed hybrid approach can offer methodological ideas for risk analysis of other types of PPP projects.

The study aims to measure the contribution rate of scientific and technological progress of Shaanxi province and find out the main driving force of its economic development, which has important reference significance for formulating and implementing the economic and social development strategy of Shaanxi Province and other regions.

By comparing and referring to the advantages and disadvantages of existing research methods, this paper combined C-D production function and Solow residual method to calculate the elastic coefficient through neural network algorithm, and then calculated the contribution rate of technological innovation to economic growth in Shaanxi province as a whole and in various regions, analyzed and put forward reasonable suggestions.

The results show that the economic growth is mainly depends on capital investment, and the contribution rate of technological innovation to economic growth is low and fluctuates greatly. In the future, each region of Shaanxi should improve the ability of technological innovation to speed up the economic transformation to the intensive type.

To make the technological innovation in Shaanxi province and other regions play a more significant role in promoting economic growth and accelerate the productivity and economic transformation of Shaanxi Province, the following suggestions are put forward, strengthen the coordinated development of innovation and economy in all regions of Shaanxi. Second, this paper need to give full play to the role of policy support and incentives. Third, this paper need to improve the market system and vigorously support enterprise innovation. Fourth, use new and high technology to transform and upgrade industrial technology. Fifth, this paper need to speed up the development of high-quality personnel.