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The purpose of this paper is to predict the effect of bra pad specifications on breast deformation during jumping using a finite element (FE) method. Breast deformation is a key concern for women during exercise and can be effectively controlled with sports bras. In most studies, the deformation of breasts when wearing a sports bra is measured using motion capture devices to judge their effectiveness. However, the operation of such devices is highly complex and time-consuming. Computer-aided technology is an efficient way to simulate these experiments.

In this study, the breast model was obtained using three-dimensional (3D) scanning. Assembling models were obtained for FE analysis using reverse engineering and computer-aided design (CAD) software. The breast deformation results were obtained by completing pre-processing, solving and post-processing in the FE simulation software. To extend the application of these models, pads of different sizes and thicknesses within the bra were constructed to simulate the effect of pads on breast deformation.

The calculated root mean square errors were <1%, which indicated good agreement between the FE and experimental data in all the models. Nipple deformation was always the largest in most models. The smallest deformation occurred at the superior position of breasts in all models. In addition, larger pads were not effective in reducing breast deformation; however, thicker pads were.

The method developed in this study provides an effective way to predict breast deformation in multiple positions and is convenient for designing compression bras.

This paper aims to examine how emotions affect consumers' food choices and food preparation activities during stressful periods, using the context of the coronavirus disease 2019 (COVID-19) outbreak in China.

This study used an online survey, with a sample of 1,050 individuals from 32 regions in China. Multi-regression and mediation models were used to test the relationships among perceived knowledge, emotions and food behaviors.

The results show that positive emotions positively affect healthy food consumption and engagement in food preparations. In contrast, negative emotions contribute to an increase in indulgent food consumption and quick-and-easy meal preparations. Increased knowledge of the current situation can enhance positive emotions and thus promote healthy food behaviors. Lacking knowledge may result in unhealthy food behaviors through negative emotions.

This study contributes to the understanding of emotions and food behaviors by examining the effects of both negative and positive emotions in the general population, exploring a wider constellation of food behaviors and identifying perceived knowledge as an important antecedent to emotions' effects on food behaviors. Implications for consumers and public policy are offered.

The purpose of this paper is to examine the relationship between working capital management (WCM) and firm performance in the context of the Chinese economy. Specifically, it investigates the effects of ownership structures as an internal factor and of institutional environments (IE) as an external factor shaping this relationship.

The study applies two-way fixed effect regression models to a sample of Chinese listed manufacturing firms for the period of 2010 to 2017. WCM is measured by cash conversion cycles (CCC); profitability is measured by core profit ratios; ownership structures are classified based on state-owned enterprises (SOEs) and non-SOEs; and IEs are measured from dimensions of factor markets (FM) and legal systems (LS).

First, the results show a negative relationship between CCC and firm performance. Second, the negative relationship between CCC and profitability is significant for non-SOEs but not for SOEs. Third, both the FM and LS strengthen the negative association between CCC and profitability. Fourth, the moderating effect of FMs and LSs is evident for non-SOEs only. The results hold when using alternative measures of WCM and profitability and while controlling for additional variables.

The current study shows that while WCM has a significant effect on the profitability of Chinese firms, such an effect greatly depends on the ownership structures and IE involved. The results thus offer important implications in helping the Chinese government create better IEs and in allowing manufacturing firms to improve upon their WCM practices.

The purpose of this paper is to explicate the relationship between workplace ostracism and deviant behavior, and further test the mediating role of emotional exhaustion and the moderating role of resilience.

A sample of 409 first-line production workers from four manufacturing enterprises in China was collected. A moderated mediation analysis was employed to test the hypotheses and examine the relationships proposed in the research framework.

The findings indicate that emotional exhaustion could mediate the relationship between workplace ostracism and deviant behavior. Moreover, the results from the moderated mediation analysis suggest that the mediation of emotional exhaustion is moderated by resilience such that with a higher level of resilience, the mediation effect of emotional exhaustion becomes weaker.

The participants of this study are limited to manufacturing enterprises, and thus our findings may not be equally valid for other types of industries. Meanwhile, this study is a cross-sectional research that could not explain the causal relationship between workplace ostracism and deviant behavior.

The present research can offer some managerial implications about how to avoid the occurrence of workplace ostracism and deviant behavior for organizations.

This study constructs a moderated mediation model by introducing the potential mediating role of emotional exhaustion and the moderating effect of resilience in order to reveal the mechanism through which workplace ostracism relates to deviant behavior. Our research not only integrates and enriches the ideas of the Stress-Non-Equilibrium-Compensation Approach and the Transactional Model of Stress and Coping Theory but could also inform future management practices for mitigating the negative consequences of workplace ostracism.

Manufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

We use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

The results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.

This study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

The purpose of this paper is to study the properties of derived grey verhulst prediction model with multiplication transformation and reduce its modeling complexity.

The paper discussed the parameter characteristics of grey derived verhulst model under multiple transformation, and demonstrated its effect on its simulative value and predictive value by investigating the multiple transformation acting on the raw data sequence of this grey model. The parameter characteristics of this model under multiple transformations and its effect of the simulation value and forecasting value are analyzed by studying the properties of multiply transformation of this model.

The research finding shows that the modeling accuracy of derived grey verhulst model is in no relation to multiple transformations.

The above results imply that the data level can be reduced; the process of building derived grey verhulst model can be simplified; but the simulative and predictive accuracy of this model remain unchanged.

The paper succeeds in realising the properties of derived grey verhulst model by using the method of multiplication transformation, which is helpful to understand the modeling mechanism and expand the application range of derived grey verhulst model.

This paper aims to reveal the current status of China university teachers’ learning content focus (LCF) and collaborative learning (CL) and empirically examine the influential effects LCF and CL play on individual pursuit of lifelong learning (LLL) by investigating the mediating role of individual psychological empowerment (PE).

Descriptive analysis and structural equation modeling (SEM), including exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and path analysis, are conducted.

The results of this study indicate significant direct impacts of LCF, CL and PE on university teachers’ LLL. LCF shares significant positive relationship with PE, validating the mediating role of PE between LCF and LLL. University teachers show their consciousness of learning required in professionalism and willingness to keep learning. However, the four major discrepancies: Lifelong Learning Process (LLLP) vs Lifelong Learning Behavior (LLLB), focus of professional promotion system vs that in LCF, lower levels in Self-determination and Impact (in PE) and less external partnerships, indicate the gaps between learning supports provided by university and policy designing in promoting LLL.

This study emphasizes the LLL ideology in professional development. Emphasis on university teachers’ learning within specific professional development contexts would encourage researchers to pay more attention to context-relevant factors enhancing LLL. And the four major discrepancies identified in this study deserve further investigations.

Low levels of human capital in rural China are rooted in the poor schooling outcomes of elementary school students. The purpose of this paper is to provide insight into the distribution of academic performance in rural China and identify vulnerable groups.

The authors draw on a data set of 25,892 observations constructed from 11 school-level surveys spanning nine provinces and one municipality in China conducted from 2013 to 2015.

The authors find that the distribution of academic performance is uneven across provinces and subgroups. In general, male students, Han, living in richer counties, living with their parents and studying in rural public schools do better academically than female students, non-Han, living in poorer counties, left behind and studying in private migrant schools in cities.

Using the results of this study, policymakers should be able to better target investments into rural education focusing on at risk subpopulations.

With limited data sources, the research on the academic performance of students in rural China is largely absent. The findings of this study help to fill the gaps in the literature base.

The dynamic characteristics prediction and frequency-modulation of pipeline was an important work for the design of aircraft hydraulic structure.

A complex pipeline was deemed as a combination of several segments of straight-pipe-element (SPE). The 3D vibration equations of each SPE were established in their local coordinate system based on Timoshenko-beam model and Euler-beam model, respectively. The dynamic-stiffness-matrixes were deduced from the dispersion relation of these equations. According to the complex pipeline layout in the global coordinate system, a multi dynamic stiffness matrixes assembling (MDSMA) algorithm was carried out to establish the characteristic equations of the whole complex pipeline. The MDSMA solutions were verified to be consistent with experimental results.

The MDSMA method based on Timoshenko-Beam model was more suitable for the short span aviation pipeline and the vibration at high frequency stage (>350 Hz). The layout affected the pipeline's in-plane stiffness and out-plane stiffness, for the Z-shaped pipe, each order natural mode took place on the ZP and NP alternately. Reasonable designs of bending position and bending radius were effective means for complex pipeline frequency-modulation.

A new dynamic modeling method of aircraft complex pipeline was proposed to obtain the influence of pipeline layout parameters on dynamic characteristics.

The purpose of this study is to explore the association between eating patterns, social identity and the well-being of adolescents via a mixed methods study of Chinese teenagers. The specific research questions presented in this study are as follows: What is the relationship between social eating and well-being? How is the relationship between social eating and well-being mediated by social identity?

This study is based on a sequential mixed methods study, including interviews with 16 teenage–parent dyads, and a large-scale survey of over 1,000 teenagers on their eating patterns, conducted with the support of public schools. A model that tests relationships among social eating, social identity and subjective well-being is developed and tested.

The results show that dining with family members leads to improved subjective well-being for teenagers, through a partial mediator of stronger family identity. However, dining with peers is not found to influence subjective well-being.

The privileged position of family meals demonstrated through this study may be an artifact of the location of this study in one Chinese city. Further research is needed related to the connections among social identity, objective well-being and the social patterns of teenagers’ food consumption behavior.

To improve the subjective well-being of teenagers, families, public policy-makers and food marketers should support food consumption patterns that promote family meals.

While many food-related consumer studies focus on the individual, social and environmental influences of food choices of adolescents, few studies address how eating patterns affect overall well-being. These results reinforce the importance of understanding the effect of the social context of teenagers’ eating patterns on health and well-being.