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This paper aims to study consumers’ visual attention and emotional experience with clothing design factors and their combinations from the perspective of cognition and emotion and propose an interaction phenomenon to evaluate the combined effect of clothing factors to better guide online clothing design and sales.

An eye movement physiology experiment was conducted, 33 participants screened by questionnaires were invited for this experiment. Hypotheses of visual attention were verified by the FIRST_FIXATION_TIME indicator, DWELL_TIME indicator and FIXATION_COUNT indicator. Hypotheses of emotional experience were verified by the PUPIL_SIZE indicator.

First, on the product list page, it is better to use only the three factors of clothing and a small number of stimulating factors. Second, when the stimulus is consistent with the cognitive task performed by the consumer, the efficiency of the task and the consumer's user experience will be improved. Third, the positive interaction phenomenon of clothing design factors and their combinations could significantly attract consumers' visual attention and improve their emotional experience.

This work argues consumer interest and emotional experience with online clothing can be expressed through eye movement physiological indicators, and the concept of interaction was proposed to evaluate the design and display of online clothing.

This paper conducted interaction research on online clothing design factors and their combinations from the perspective of cognition and emotion, which provided an objective quantitative method for online clothing designers and online clothing retailers.

For online experiential products, tactile attributes are important but hard-to-achieve features. This research aims to explore consumers' emotional experiences by incorporating tactile attributes into the online clothing shopping scenario.

This paper presents two online shopping experiments by consumers who purchase online clothing: one experiment involves subjects browsing clothing products on a computer screen; the other one involves subjects touching the clothing fabric while browsing a corresponding product on a computer screen. Based on the stimulus–organism–response (S-O-R) model, a physiological polygraph was used to record the emotional experience of subjects under the stimuli of “sight” and “sight + touch.”

(1) Subjects had a more positive emotional arousal under the stimuli of “sight + touch”; (2) the visual merchandising of clothing and expected touch task affect subjects' overall emotional experience with clothing, and with a good visual experience and expected tactile experience, the subjects showed a more positive emotional valence under the stimuli of “sight + touch”; (3) differing from previous research, this experimental data only supports the hypothesis that the skin conductance indicator is related to the level of emotional arousal, without supporting its correlation with emotional valence. However, the heart rate indicator is correlated with emotional valence but not with emotional arousal.

This work proposes a way to study the tactile attributes of online clothing and enriches the theoretical framework of polygraph and the S-O-R model for the research of online experiential products, and in terms of application, it sheds light on sales strategies of online experiential products for retailers and brand owners.

The purpose of this paper is to study online clothing consumers' behaviour and their visual attention mechanism to provide objective and quantitative evidences for the display and sales of online clothing.

Firstly, this paper conducted a Focus Group Methodology and questionnaire survey to obtain concern factors of online clothing. Secondly, the online clothing's bottom-up visual stimulation and consumer's top-down expectations were analysed, and proposed the hypotheses about significant stimulus of clothing and consumer's emotional experience. Thirdly, the online clothing consumer's visual attention rules and related qualitative results were discussed, and proposed visual attention law for online clothing. Finally, took the company's 84th quarter clothing design practices as research projects, all the hypotheses were demonstrated through eye movement physiology experiments, online clothing trial release and node sales data.

Online clothing has unique visual display ways compared with other online products such as online advertising, brands and food packaging. Clothing patterns of unfamiliar (fresh) font shapes are more attractive than the patterns of familiar fonts. The cause of the bottom-up visual attention bias is the contrast between clothing features, not the absolute stimulus intensity of the features themselves. Clothing factors can change their emotional experience from no difference to significant difference under the influence of other clothing factors.

Put forward hypotheses of online clothing consumer behaviour and its visual attention mechanism, provided objective and quantitative evidences through eye tracker.

This study aims to construct a two-step model to examine how passive (mental imagery and immersion) and active (engagement) responses build a spatial presence in 360° virtual tours by constructing the spatial situation. This study further tests the difference between first-time and repeat users in building a spatial presence.

Systematic sampling was applied to collect data. Valid data from 355 participants were analysed using partial least squares structural equation modelling.

The results show that other than the direct effect of engagement on spatial presence, the spatial situation partially mediates the effects on the spatial presence of two passive responses. Through comparative analysis of the three models, this study confirms that the two-step model provides a better fit for the data. For repeat users, the spatial situation is the major source of spatial presence.

The results offer suggestions for destination marketers to develop effective virtual tours to induce the spatial presence of repeat users and first users.

This study contributes a two-step model for researchers to consider the mediating role of the spatial situation in further studies in the context of virtual reality (VR) tourism. This study also helps researchers design their future VR research in tourism by elucidating the roles of passive and active psychological responses in determining spatial presence.

该研究构建了一个两步模型, 以检查被动（心理意象和沉浸）和主动（参与）反应如何通过构建空间情境在 360° 虚拟旅游中构建空间存在。 这项研究进一步测试了初次使用者和重复使用者在建立空间呈现感方面的差异。

本研究应用系统抽样来收集数据。 使用 PLS-SEM 分析了来自 355 名参与者的有效数据。

结果表明, 除了参与对空间存在的直接影响外, 空间情况部分地调节了两种被动反应对空间存在的影响。 通过对三种模型的比较分析, 本研究证实了两步模型可以提供更好的数据拟合。 对于重复用户来说, 空间情境是空间呈现感的主要来源。

研究发现为目的地营销人员提供了建议, 以开发有效的虚拟旅游从而诱导重复用户和首次用户的空间呈现。

本研究为研究人员提供了一个两步模型, 以考虑空间状况在 VR 旅游背景下的进一步研究中的中介作用。 这项研究还通过阐明被动和主动心理反应在确定空间呈现中的作用, 帮助研究人员设计他们未来的旅游 VR 研究。

The purpose of this paper is to examine the factors that influence mainland Chinese film tourists’ behavioural intention in accepting an augmented reality (AR) feature film character-related tour APP (an IfilmAR-tour-APP) based on an extension of unified theory of acceptance and use of technology (UTAUT) model.

Systematic sampling was used to collect data; 360 valid questionnaires were collected from mainland Chinese film tourists visiting Macau. Partial least squares structural equation modelling (PLS-SEM) was applied to analyse the data.

The findings indicated that performance expectancy, effort expectancy, social influence, celebrity involvement and personal innovativeness have a significant impact on mainland Chinese film tourists’ behavioural intention in accepting the IfilmAR-tour-APP, while facilitating conditions do not significantly affect tourists’ behavioural intention. Furthermore, the study revealed that effort expectancy, celebrity involvement and personal innovativeness positively influence performance expectancy in the use of an IfilmAR-tour-APP.

The findings of this study provide implications for AR tour APP developers which will help them to enhance their designs, and for the governments of tourist destinations to formulate their promotion strategies in developing niche tourism.

This study extended the application of UTAUT to tourism technology by introducing two personality traits in the context of AR tour APPs for film-induced tourism. This research contributes to niche tourism research by linking niche tourism and tourism technology.

推广影视旅游的增强现实旅游APP的接受度：论名人参与和个人创新的影响

本论文旨在检验中国大陆影视旅游者接受增强现实（AR）影视人物相关APP（IfilmAR-tour-APP）的接受行为, 本论文根据UTAUT模型, 检验其影响接受行为的各项因素。

本论文采用系统抽样法搜集数据; 共收到360份中国大陆到澳门影视旅游的游客问卷。本论文采用PLS-SEM方法分析数据。

研究结果表明, 性能期望、努力期望、社交影响、名人参与、和个人创新都对中国大陆影视旅游者接受IfilmAR-tour-APP行为有着显著影响。然而, 辅助条件对游客的行为意向并没有显著影响。此外, 本论文还表示努力期望、名人参与、和个人创新对性能期望有积极影响。

本论文结论对于AR旅行APP开发者提供实践启示, 这将帮助他们提高设计, 此外, 本论文结论对旅游目的地的政府也有启示, 帮助他们推广这种新奇旅游策略。

本论文延展了UTAUT应用到旅游科技, 在AR tour APP在影视旅游中引入两个个性特点。本论文通过连接新奇旅游领域与旅游科技, 对新奇旅游科研有着贡献。

For moderate pressure and high pressure gear pumps, the temperature failure problem of bearings is now of considerable concern because of their heavy loads. However, the compact structure and the efficiency consideration make it extremely difficult to improve the bearing cooling. A self-circulating oil bearing system is developed for gear pumps with self-lubricating bearings to solve this problem. The oil is aspirated in from the low pressure chamber of the gear pump and discharged to the same chamber by using the pressure difference in the journal bearing, thus achieving the self-circulation.

An experiment test rig has been built for the feasibility study. The oil flow rate under different speeds has been recorded. Furthermore, the temperatures of the bearings with or without the oil circulation have been compared. Additionally, the oil flow in the test rig has been simulated using computational fluid dynamics codes.

The experimental and numerical results agree well. The experimental results indicate that the oil flow rate increases approximately linearly with the speed and the bearing temperature can be lowered successfully. The calculation results indicate that the bearing load capacity is nearly the same. Both the experimental and numerical studies establish that the self-circulating oil bearing system works successfully.

As far as the authors know, it is the first time to find that the self-circulation can be built using the pressure difference in the bearing oil film, and this principle can be applied in the cooling and lubrication of the gear pumps to solve the temperature failure problem.

The purpose of this paper is to analyze the measurement error of a three-dimensional coordinate measurement system based on dual-position-sensitive detector (PSD) under different background light.

The mind evolutionary algorithm (MEA)-back propagation (BP) neural network is used to predict the three-dimensional coordinates of the points, and the influence of the background light on the measurement accuracy of the three-dimensional coordinates based on PSD is obtained.

The influence of the background light on the measurement accuracy of the system is quantitatively calculated. The background light has a significant influence on the prediction accuracy of the three-dimensional coordinate measurement system. The optical method, electrical method and photoelectric compensation method are proposed to improve the measurement accuracy.

BP neural network based on MEA is applied to the coordinate prediction of the three-dimensional coordinate measurement system based on dual-PSD, and the influence of background light on the measurement accuracy is quantitatively analyzed.

The fast growing concern for maintaining integrity of the environment has built up development of environmentally‐adapted lubricants. Because of their toxicity, most of the traditional lubricating additives cannot be used in this kind of lubricant. The purpose of this paper is to find a borate ester derivative which can be used as a multifunctional additive in rapeseed oils (RSO).

A borated S‐2‐hydroxypropyl N, N‐dibutyl dithiocarbamate (BDTC) was synthesized and characterized. Its tribological properties in rapeseed oil as multifunctional additive were evaluated, using a four‐ball tribometer and compared with one kind of commercial MoDTC. In addition, its thermal stability was identified using TGA and antioxidative ability tested by PDSC. The action mechanism of BDTC was studied by X‐ray photoelectron spectroscopy (XPS), scanning electron microscope (SEM) and atmospheric pressure chemical ionization mass spectrometer (APCI/MS) analysis.

Results show that BDTC exhibits high thermal stability, possesses comprehensive tribological performance in rapeseed oil, and has evident effect in controlling the oxidation of RSO. Analysis of worn surface indicates that BDTC was decomposed and reacted with metal during the friction process. The lubricating film mainly contains inorganic boron compound (B₂O₃), organic nitrogen derivatives and FeSO₄.

This paper provides a borate ester derivative which possesses excellent tribological properties and can be used as a multifunctional ashless additive in environmentally‐adapted lubricants. Furthermore, an innovative method, APCI/MS, was used to analyze the tribo‐fragmentation behavior of BDTC.

China was the only developing country that participated in the human genome project and contributed 1 per cent of human genome sequencing in 2000. And it finished rice genome sequencing independently in 2002. China’s biomedical industry, however, remains largely an academic affair. The industry is characterized by its inability to support and commercialize innovative research, which in turn has resulted in the prevalence of generic drugs. Managers of Chinese firms have been focusing on the shortterm profits that can be generated by generics rather than the longer‐term potential profits arising from innovative research. But the viability of such short‐cut strategy is now called into question as the IPR infringements will mean hefty fines to the violators in the wake of China’s WTO accession. There is hence an urgent need to make the timely transformation from academic affair to commercialization. This paper examines the reasons why biomedical industry remains largely an academic affair in China by stacking China against the key success factors of biomedical industry in the world. It then suggests the ways to make the transformation by filling the gap between basic research and commercial products and cultivating the necessary business environment for biomedical drugs in China.

The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.

Taguchi method has been applied to conduct experiments, and the cutting parameters are spindle speed, feed per tooth and depth of cut. The first-order models used to predict surface roughness and MRR for micro-milling of Inconel 718 have been developed by regression analysis. Genetic algorithm has been utilized to implement multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718.

This paper implemented the multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718. And some conclusions can be summarized. Depth of cut is the major cutting parameter influencing surface roughness. Feed per tooth is the major cutting parameter influencing MRR. A number of cutting parameters have been obtained along with the set of pareto optimal solu-tions of MRR and surface roughness in micro-milling of Inconel 718.

There are a lot of cutting parameters affecting surface roughness and MRR in micro-milling, such as tool diameter, depth of cut, feed per tooth, spindle speed and workpiece material, etc. However, to the best our knowledge, there are no published literatures about the multi-objective optimization of surface roughness and MRR in micro-milling of Inconel 718.