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The purpose of this paper is to discuss polyester fabric structures in terms of the surface morphology, crystal structure of copper films and interfacial bonding properties between polyester fabrics and copper films.

Nanoscale copper (Cu) thin films were deposited onto the surface of polyester fabrics with different structures by the radio frequency magnetron sputtering technique at room temperature.

Copper films uniformly deposited on the surface of the polyester nonwovens and nanofiber membranes have larger average particle diameters and surface roughness, and higher crystallinity.

Theoretical value: the effects of polyester substrate structures on the morphology and interfacial bonding properties of Cu thin films have rarely been reported.

The purpose of this paper is to prepare structural colors of fabrics coated with Silver/Zinc Oxide (Ag/ZnO) composite films by magnetron sputtering and analyze the relationship between the colors and the thickness of Zinc Oxide (ZnO) film in Ag/ZnO composite film and the photocatalytic property of the fabrics coated with Ag/ZnO composite film.

Ag/ZnO composite films deposited on polyester fabrics were prepared by magnetron sputtering technology. The structural colors of textiles coated with Ag/ZnO composite films and the relationship between the colors and Ag/ZnO composite films were analyzed, and the photocatalytic property of Ag/ZnO composite films was also discussed.

The results indicated that the colors varied with the thicknesses of the ZnO film in Ag/ZnO composite films. The reactive sputtering time of ZnO film was 5, 8, 10 and 14 min, respectively, and the colors of the corresponding fabrics were purple, blue, blue-green and yellow. Meanwhile, the polyester fabrics coated with Ag/ZnO composite films showed the excellent photocatalytic properties, and silver (Ag) films deposited under the ZnO films in Ag/ZnO composite films could also improve the photocatalytic activities of ZnO films, and the formaldehyde degradation rates was 77.5%, which was higher than the 69.9% for the fabrics coated only with the ZnO film.

The polyester fabrics coated with Ag/ZnO composite films not only created various structural colors using change the thicknesses of the ZnO film, but also achieved the multifuctionality, which will have a broad application prospect in textile fields.

The paper aims to evaluate the influence of atmospheric environment on the conductivity of nanoscale copper films sputtered on polyester substrates; process parameters of optimal conductivity were firstly analyzed by orthogonal test scheme design, and then the surface morphology, crystal structures and conductivity of samples were performed after samples were placed in the atmospheric conditions for some time according to the optimization of process parameters.

Nanoscale copper films was prepared by RF (radio frequency) magnetron sputtering and low-temperature plasma technology with polyester fabrics as substrates and metal copper as targets under the conditions of low temperature and high vacuum.

The experimental results showed that copper films were broken and the continuity of samples was destroyed after 60 days, while exposed in atmospheric environment for 90 days, cracks of copper films gradually expanded, there was no change in the atomic species for samples placed in the atmospheric conditions. However, the conductivity of the samples hardly had changed with the ambient temperature, humidity and degree of water washing, which is mainly decided by the internal structures of substrates.

This paper has some theoretical and applicable value to the functional textile.

Structural color is more brilliant in color, more resistant to sunshine and will not fade away with time, and more environmental friendly than traditional dyes and pigments. The purpose of this paper is to prepare structural colors of fabrics coated with Ag/TiO₂ composite films by magnetron sputtering, and analyze the relationship between the colors and the thicknesses of TiO₂ films in Ag/TiO₂ composite films.

Preparation of Ag/TiO₂ composite films by magnetron sputtering and their deposition on textiles were investigated. The chemical compositions and surface morphology of Ag/TiO₂ composite films were examined by X-ray photoelectron spectroscopy and scanning electron microscopy, and the structural color of fabric coated with Ag/TiO₂ composite film was also analyzed.

Ag/TiO₂ composite films deposited on textile substrate exhibited structural colors, and the bright colors could be adjusted and controlled by the thickness of TiO₂ thin films in Ag/TiO₂ composite films without any dyes or pigments. By comparing the results of theoretical calculation and experimental results, it was found that the creation of structural colors by the experiment was coincident to the colors by theoretical calculation according to the film interference principle. There was a linear relationship between the thickness of TiO₂ film and the wavelength of the structural color.

Compared to traditional coloration by dyes or pigments, the coloration of textile by structural color from Ag/TiO₂ composite films prepared by magnetron sputtering was very environmental friendly and simple without water consuming, time consuming and tedious work. Structural colors have great potential applications in textiles in place of traditional dyes and pigments. Furthermore, the textiles coated with Ag/TiO₂ composite films have good electrical, optical and magnetic properties, and can be used in apparel, home furnishings and industrial fabrics.

In this study, the polyester fabrics were treated with low temperature plasma before Cu sputtering. The effect of oxygen gas plasma pre-treatment on the surface structures, electrical properties, and mechanical properties of samples was investigated. The paper aims to discuss these issues.

A laboratory direct current (DC) magnetron sputter coating system was used to deposit the nanoscale copper (Cu) films onto the surface of polyester plain fabric at room temperature.

The crystal structure of the sputtered copper films did not show any obvious change on the O₂-plasma-treated fabric, but the surface roughness and surface particle size increased significantly. Improvement in electrical properties of copper films was closely related to the deposition time. The tensile test results indicated that the mechanical properties of the plasma-treated polyester fabrics were also improved after copper coating.

The research reports on the functional textiles, and the experiment results and analysis are original. There is a great potential to commercialize such functional textiles.

Nanoscale copper (Cu) films were deposited onto the surface of polyester fabrics with different structures using radio frequency magnetron sputter coating system at room temperature. The paper aims to discuss these issues.

Scanning electron microscopy (SEM) and field emission scanning electron microscopy (FE-SEM) were used to observe the surface morphology of substrates and the structures of the deposited copper particles, respectively. The capillary flow pore instrument was used to measure pore sizes distribution of polyester substrates.

The experimental results revealed that the fabric structures had a more significant role on the conductivity and electromagnetic shielding effectiveness of samples. The porosity had more apparent effect on ultraviolet transmittance of samples.

The results have some theory values on the development of functional textiles.

The purpose of this paper is to investigate Chinese teachers’ attitudes toward performance pay. Specifically, this study examined the extent to which Chinese teachers supported performance-pay programs. The study also examined the effects of these programs on teachers, particularly on their levels of collaboration, work motivation, and job stress.

This research was conducted in a northeastern city of China. Criteria sampling and maximum variation sampling techniques were used to select three schools, representing different characteristics of teacher performance pay (TPP) programs. In all, 150 questionnaires were administered to each of the three schools. The questionnaire contained three parts. Part 1 asked about respondents’ overall attitude toward pay-for-performance in general. Part 2 was composed of 20 closed-ended items asking respondents to rate their levels of agreement with various aspects of implementation of performance pay. Part 3 of the questionnaire comprised open-ended items.

Approximately 48.5 percent of the teachers supported the teacher-performance-pay programs. This indicated a low support of Chinese teachers in comparison to that in some countries. Regarding how teachers’ attitudes toward performance pay are related to teacher characteristics (e.g. teaching experience, professional ranking), the ANOVAs results showed no significant differences in any of the factors. This quantitative result was different from the qualitative result of this study (e.g. veteran teachers complained about the implementation of performance pay). In spite of the differences between quantitative and qualitative findings, some findings from the current study are consistent with those found in western countries.

One limitation of this study was the small sample size for quantitative analyses. Future research should consider a larger sample size to conduct more advanced statistical analyses such as structural equation modeling to examine further the relations among, for example, how much the incentive pay should be, and what proportion of teachers should receive it, the level of teacher stress, their work enthusiasm, and peer relationships. Another limitation of this study was that the qualitative data were collected through open-ended questions of the questionnaire. Future research should interview teachers and principals to obtain richer voices from the teachers.

Very few articles published in Chinese journals surveyed the implementation of TPP. In addition, these few articles were not well-designed from an empirical sense. So far research of teacher opinions about performance pay was a missing area in China’s educational discourse. The present study provides information to non-Chinese readers who are interested in Chinese teachers’ attitudes toward TPP. It is hoped the present study adds knowledge to the literature of TPP from the perspective of Chinese teachers.

The consensus opinion helps with the achievement of fairness of the decision process, especially when the new decision makers (DMs) are added into the group decision making (GDM). This paper aims to show by constructing consensus models that when some conditions are met, the consensus level does not decrease even when new DMs are invited to join the GDM (new opinions are added to the GDM).

This paper first constructs a deviation which is the difference between each two individual opinions. The smaller these differences are, the higher consensus degree (level) of the group. Then, a consensus optimization model based on individual differences (IDCO) is constructed by minimizing the aggregated deviations. Lastly, based on the optimization model, the condition of reaching a high level of consensus when new DMs are added into the GDM is discussed.

The discussion on the properties of the IDCO indicates that once the consensus with all DMs reaching an acceptable level, the consensus deviation degree decreases as the number of DMs increases when certain conditions are met, and the consensus level does not decrease even when new DMs join the GDM.

Practically, high-level consensus needs to be reached no matter how difficult it is when the new opinions are added into the GDM. To see how this end could be achieved, this paper takes the fuzzy preference relations as particular instances to investigate the conditions of consensus under which new DMs (opinions) are added into the GDM. The rather holistic analysis leads us to such a conclusion that the authors can replace this particular kind of preference, as used in the discussion, in many other cases by, for instance, multiplicative preference relation, linguistic preference relation, etc.

To investigate the impact of cognition, emotion and other factors on positive customer engagement behaviors and to identify the differential formation processes and dynamic changes in these behaviors.

We used cognitive appraisals and coping theory as well as justice theory, to analyze comment data from the Xiaomi Community with natural language processing and binary logistic regression.

Our results indicate that cognition and emotion are unnecessary for positive customer engagement. Users expressing different cognitions and emotions exhibit varied positive engagement behaviors. The behavioral dimension was the most frequently combined, followed by the affective and cognitive dimensions. Managers should adopt material or spiritual incentives to encourage users with positive emotions and cognition to become loyal. Additionally, addressing comments with distributive justice cognition can promote positive customer engagement.

This study clarifies the complex interplay between cognition, emotion and customer engagement behaviors, providing actionable insights for brand managers to foster customer loyalty and positive customer engagement.

The purpose of this paper is to maximize the average profit of the supply chain by calculating the order quantity, the number of shipments during the production time of the vendor, the number of shipments during the supply cycle of the vendor and the time when the retailer’s inventory level reaches to zero.

A production and inventory model for degrading commodities with stochastic demand and two-level partial trade credit in a supply chain is presented. The model’s applicability and the processes' feasibility for solving are verified by GAMS software with BARON.

The impact of the model’s parameters on the vendor and retailer’s average profit was found through sensitivity analysis. The effect of the model’s parameters on the supply chain’s average profit was also found. Moreover, the reasons for this effect were given.

First, decision-makers may use this model to increase the supply chain's average profit. Second, the proposed model takes a general form. Third, the policymakers can also adjust the model’s parameters according to their preferences to get the desired results.

First, this paper develops an inventory and production model for perishable goods. Second, it is believed that the demand is random because the demand is affected by many factors, which make the study more realistic. Third, this paper studies production and inventory problems from the supply chain perspective. Finally, the interest for partial trade credit is calculated. The interest caused by stochastic shortages is also considered and calculated.