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This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction.

The structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors.

Results indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time.

This study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China.

The hands of intelligent robots perceive external stimuli and respond effectively according to tactile or pressure sensors. However, the traditional tactile and pressure sensors cannot perform human-skin-like intelligent properties of high sensitivity, large measurement range, multi-function and flexibility simultaneously. The purpose of this paper is to present a flexible tactile-pressure sensor based on hyper-elastics polydimethylsiloxane and plate capacitance.

With regard to this problem, this paper presents a flexible tactile-pressure sensor based on hyper-elastics PDMS and plate capacitance. The sensor has a size of 10 mm × 10 mm × 1.3 mm and is composed of four upper electrodes, one middle driving electrode and one lower electrode. The authors first analyzed the structure and the tactile-pressure sensing principle of human skin to obtain the design parameters of the sensor. Then they presented the working principle, material selection and mechanical structure design and fabrication process of the sensor. The authors also fabricated several sample devices of the sensor and carried out experiments to establish the relationship between the sensor output and the pressure.

The results show that the tactile part of the sensor can measure a range of 0.05-1N/mm² micro pressure with a sensitivity of 2.93 per cent/N and a linearity of 0.03 per cent. The pressure part of the sensor can measure a range of 1-30N/mm² pressure with a sensitivity of 0.08 per cent/N and a linearity of 0.07 per cent.

This paper analyzes the tactile and pressure sensing principles of human skin and develop an intelligent sensitive human-skin-like tactile-pressure sensor for intelligent robot perception systems. The sensor can achieve to imitate the tactile and pressure function simultaneously with a measurement resolution of 0.01 N and a spatial resolution of 2 mm.

The transition from high school to university poses many challenges for university students including dietary behaviors’ change and subsequent obesity risk. More tailored interventions and promotions to establish a healthier eating habit are needed to reduce obesity risks. The purpose of this paper is to investigate food intake differences on obesity risk among university students in China through exploring the differences of food intakes with gender, the year in college and body mass index (BMI).

Cross-sectional study was carried in five universities which were randomly selected in all the universities located in different geographical areas of Beijing, China. The sample consisted of 631 university students whom aged from 18 to 25 years. t-tests and one-way ANOVA tests were used to find differences of food intakes with gender, the year in college and BMI.

Having more consumption of food with high protein, high fat and high sugar, but less consumption of fruits and vegetables, may give university students a greater chance to be obese, and food intakes were significantly varied in different genders among Chinese university students.

There is a lack of evidence for investigating the differences of food intakes with gender on obesity among young adults in China. Findings of this study indicated that the food intakes of male students might make them more prone to obesity than female students, and suggested more tailored interventions, food marketing strategies and promotions on controlling students’ food intakes for a healthier life are needed.

Innovative behavior is a microfoundation of an organization’s innovation. Knowledge workers are the main creators of innovations. With the boundaries between work and family becoming increasingly ambiguous, the purpose of this study is to explore how the work–family conflict affects knowledge workers’ innovative behavior and when such a conflict arises.

To test the theoretical model, this study collected data from a time-lagged matched sample of 214 dual-career couples. The data were analyzed with the bias-corrected bootstrapping method.

The results of this study showed that work-to-family conflict had not only a direct negative effect on knowledge workers’ innovative behavior but also an indirect effect through spouses’ within-family emotional exhaustion and knowledge workers’ family-to-work conflict. If wives’ gender role perceptions are traditional, then the indirect serial mediating effect is weakened, but if such perceptions are egalitarian, then the mentioned effect is aggravated.

In terms of organizational implications, managers could alter their approach by reducing detrimental factors such as work–family conflict to improve knowledge workers’ innovative behavior. Emotional assistance programs for both knowledge workers and their spouses can be used to prevent the detrimental effect of work–family conflict on innovative behavior. As to social implications, placing dual-career couples into a community of likeminded individuals and promoting their agreement on gender role identity will greatly reduce the negative effects of work–family conflict.

Starting from the perspective of the behavior outcome of knowledge management, this study advances the existing knowledge management literature by enriching the antecedents of knowledge workers’ innovative behavior, illuminating a spillover–crossover–spillover effect of work–family conflict on knowledge workers’ innovative behavior and identifying the boundary condition of this transmission process.

This paper aims to study the tribological behavior of the WS2/oil-impregnated porous polyimide (PPI) solid/liquid composite system, in which both PFPE (perfluoropolyether) and SiCH (silahydrocarbons) oils with different hydrocarbon chains were used, respectively. Lubricating mechanism of the composite system was also explored.

The tribological behaviors of the WS2 films against the PPI cylindrical pins before and after immersing oil were evaluated under different loads by a reciprocating-type ball-on-disc tribometer.

The composite system exhibited the low and stable friction coefficient after the running-in stage, and the lubricant oil played a positive effect. It was found that the WS2/PFPE composite system exhibited more excellent lubricating property, although sole SiCH far exceeds PFPE in lubrication. The abnormal phenomenon mainly resulted from the influence of the oil amount. XRD results on the wear track surfaces indicated that PFPE and SiCH oils with different hydrocarbon chains were likely to preferentially adsorb to the edge plane and basal plane of the WS2 crystals, respectively.

In previous studies, liquid lubricants were directly dripped or spin-coated on the solid lubricant surface. Based on its potential advantage in application, the tribological behavior and mechanism of the solid lubricating film/oil-impregnated PPI composite system were investigated in this study.

In order to extend the application of the original octagonal Goodman–Smith fatigue limit diagram, which is commonly used for the evaluation of structure fatigue stress in engineering, a modification of it is proposed for the structure made of S355 steel (commonly used in high-speed electric multiple units (EMUs) bogie frame).

The modification is made based on Deutscher Verband für Schweißen und verwandte Verfahren e. V. (DVS) 1612 standard and the γ-P-S-N curve, with consideration of the fatigue evaluation requirements of different survival rates and confidence levels. The verification of the modification is performed for three welded joints and for the comparison with the experimental data.

The results indicate that the design survival rate, the design safety margin and the fatigue stress evaluation of welded joint types are all improved by using the modified diagram.

There are relatively few studies on modifying octagonal Goodman–Smith fatigue limit diagram. In this paper, a modified diagram is proposed and applied in order to ensure the safety and durability of key welded structures of rail vehicles.

No study to date has addressed the construct of event tourist experience value and there is no well-accepted value measurement method. This study aims to examine the underlying dimensions of event tourist experience value from a holistic perspective.

The research process consists of two steps. First, the dimensions of event tourist experience value are investigated by using grounded theory and content analysis of travel blogs. The second step is to explore and verify the scale of event tourist experience value.

The items show that event tourist experience value can be comprehensively understood from three dimensions: functional value (functional factors); hedonic value (relaxation, escape, restoration and interaction); and symbolic value (social prestige, belonging and self-transcendence).

The findings are useful indicators explaining events attendance, and can help event organizers and destination managers to better understand the needs of tourists and design event experiences in a more sophisticated way.

This work integrates a series of varied events to suggest a holistic view of event tourist experience value, which provides a theoretical basis for other scholars to compare and monitor findings in this field.

This paper aims to investigate how information and communication technology (ICT) services and digital finance affect the development of international tourism.

The two-way fixed effect panel regression model, spatial econometric model, panel threshold regression model and panel quantile regression model are used. Data on tourism, economic and social development in 198 Chinese cities from 2011 to 2020 are analyzed.

This study finds that digital economy including ICT services and digital finance has significantly promoted the development of international tourism industry, while there is a negative spatial spillover effect. The promotion effect of international tourism increases significantly after digital innovation reaches the threshold value. International tourism is benefiting more from digital economy with the development of international tourism industry.

The development quality of international tourism industry has not been analyzed due to data limitations, and the mechanism has not been tested.

This study creatively reveals the development of international tourism industry in the digital economy era from ICT services and digital finance perspectives. This study also shows the spatial, nonlinear and asymmetric relationship between digital economy and international tourism.

The purpose of this paper is to select the optimal feature parameters to further improve the identification accuracy of cashmere and wool.

To increase the accuracy, the authors put forward a method selecting optimal parameters based on the fusion of morphological feature and texture feature. The first step is to acquire the fiber diameter measured by the central axis algorithm. The second step is to acquire the optimal texture feature parameters. This step is mainly achieved by using the variance of secondary statistics of these two texture features to get four statistics and then finding the impact factors of gray level co-occurrence matrix relying on the relationship between the secondary statistic values and the pixel pitch. Finally, the five-dimensional feature vectors extracted from the sample image are fed into the fisher classifier.

The improvement of identification accuracy can be achieved by determining the optimal feature parameters and fusing two texture features. The average identification accuracy is 96.713% in this paper, which is very helpful to improve the efficiency of detector in the textile industry.

In this paper, a novel identification method which extracts the optimal feature parameter is proposed.