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The research on leaching behaviors of heavy metals in municipal solid waste incineration (MSWI) fly ash is of great significance. Because of the limitations like experimental condition, experiment data volume of heavy metals is difficult to achieve the prediction of requirements. In order to solve the problem of uncertainty and fuzziness caused by small sample, a new method based on fuzzy theory is proposed in this paper. By comparing fitting results from measured data and Visual MINTEQ simulation results, the method in this paper is considered to be more reliable and has a better interpretation for the leaching behaviors of heavy metals. The simulation results show the feasibility and superiority of the proposed method.

The purpose of this study is to improve the efficiency and accuracy of response surface method (RSM), as well as its robustness.

By introducing cut-high-dimensional representation model (HDMR), the delineation of cross terms and the constitution analysis of component function, a new adaptive RSM is presented for reliability calculation, where a sampling scheme is also proposed to help constructing response surface close to limit-state.

The proposed method has a more feasible process of evaluating undetermined coefficients of each component function than traditional RSM, and performs well in terms of balancing the efficiency and accuracy when compared to the traditional second-order polynomial RSM. Moreover, the proposed method is robust on the parameter in a wide range, indicating that it is able to obtain convergent result in a wide feasible domain of sample points.

This study constructed an adaptive bivariate cut-HDMR by introducing delineation of cross-terms and constitution of univariate component function; and a new sampling technique is proposed.

The purpose of this paper is to explore the influence mechanism of job satisfaction and positive affect on knowledge sharing among project members in Chinese construction industry, and test the moderating role of organizational commitment between them in order to find a new approach from the perspective of psychology to improve the knowledge sharing performance within project management organizations in China constantly.

An empirical study was used based on confirmatory factor analysis and hierarchical regression analysis with a sample of 540 project members from 80 project management organizations in China.

Research results showed that job satisfaction and positive affect of project members both have a significant positive impact on knowledge sharing; organizational commitment could moderate the influence of job satisfaction and positive affect on knowledge sharing among project members partially within the Chinese context.

A questionnaire study from China only represents the relationship and regular pattern within a shorter time interval in the Chinese context. It is necessary to continue to implement a longitudinal study in a relatively long period in future research.

Knowledge sharing among project members can be enhanced through improving job satisfaction and positive affect, and strengthening project members’ organizational commitment can amplify the influence effect of job satisfaction and positive affect on knowledge sharing.

This paper clarifies the direct influence mechanism of project members’ job satisfaction and positive affect on explicit knowledge sharing (EKS) and tacit knowledge sharing (TKS), and further tests the partial moderating effect of organizational commitment on the influence relationship of job satisfaction and positive affect on EKS and TKS.

The intelligent identification of stains can quickly and accurately identify stains. At present, stains are identified subjectively by appearance, color, taste, feel, location, etc. Color is an important factor in identifying stains. K/S value is used to analyze the color of textile fabric, and it has additivity. The purpose of the study is to explore its application in stain recognition is of great significance to intelligent washing.

A certain method used to stain the textile, then the K/S value of the textile before and after the stain was analyzed and tested by the color difference instrument. The K/S curve of the stain was calculated by the addition of K/S, and then the stain was identified and distinguished.

The K/S value of the textile stained with stains could be deducted by the K/S value of the color difference meter. After deducting the base cloth, the K/S curve of the same stain is basically the same. Then the stain can be identified and analyzed.

The K/S value can be used for stain analysis, but it needs to be analyzed and tested in the laboratory.

This study provides a simple method for stains identification.

In addition to common methods of stain identification, such as appearance, color, feel, smell, location, stain removal materials, breaking the substrate, IR, etc., K/S value can be used for stain analysis. Identifying stains and washing them in a targeted way to achieve a better washing effect could provide certain technical support for the development of smart washing and smart home appliances.

The polynomial dimensional decomposition (PDD) method is a popular tool to establish a surrogate model in several scientific areas and engineering disciplines. The selection of appropriate truncated polynomials is the main topic in the PDD. In this paper, an easy-to-implement adaptive PDD method with a better balance between precision and efficiency is proposed.

First, the original random variables are transformed into corresponding independent reference variables according to the statistical information of variables. Second, the performance function is decomposed as a summation of component functions that can be approximated through a series of orthogonal polynomials. Third, the truncated maximum order of the orthogonal polynomial functions is determined through the nonlinear judgment method. The corresponding expansion coefficients are calculated through the point estimation method. Subsequently, the performance function is reconstructed through appropriate orthogonal polynomials and known expansion coefficients.

Several examples are investigated to illustrate the accuracy and efficiency of the proposed method compared with the other methods in reliability analysis.

The number of unknown coefficients is significantly reduced, and the computational burden for reliability analysis is eased accordingly. The coefficient evaluation for the multivariate component function is decoupled with the order judgment of the variable. The proposed method achieves a good trade-off of efficiency and accuracy for reliability analysis.

The study aims to compare and analyze the impact of the commonly used pallets (wooden pallet and plastic pallets), using life cycle assessment (LCA), then provide certain suggestions for the development of green packaging.

In this study, software Simapro was used to calculate and analyze the whole life cycle of pallets from the stage of raw materials and production to processing and waste disposal.

A total of 12 environmental categories were used to quantitatively analyze the environmental impact of the four different pallets. The results showed that, regardless of raw material, processing, or waste stage, the environmental impact of wooden pallet was lower than that of plastic pallet. Wooden pallet was better than plastic pallets.

This study compared and analyzed the pallet of 1 × 1.2m with different materials.

Green packaging is the development trend of the future packaging, which follows the principle of 3R1D. According to the calculation results, corresponding suggestions can be put forward from production, processing, using, wasting and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage of the product on the environment can be studied. The environmental impact, such as global warming potential, water scarcity, can be reduced through different solutions such as the use of green materials, good processing techniques and higher recycling rates.

This study aims to compare and analyze the impact of the commonly used takeout packing (Kraft paper bowl and plastic bowl) through life cycle assessment, then certain suggestions for the development of green packaging could be provided.

In this study, Simapro software was used to calculate and analyze the whole life cycle of takeout packaging from the stage of raw materials, production and processing and waste disposal.

Twelve environmental categories were used to quantitatively analyze the environmental impact of the two different bowls. The results showed that the impact of Kraft paper bowl on the environment was less than that of plastic bowl, regardless of raw material, processing or waste stage. Kraft paper bowl was better than plastic bowl.

This study compared and analyzed the progress of 750-mL bowls made with different materials and specific specifications.

Green packaging is the development trend of the future packaging and follows the principle of reduce, resue, recycle, degradable. According to the calculation results, corresponding suggestions can be put forward from production, processing, use, waste and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage of the product on the environment can be studied. The environmental impacts, such as global warming potential and water scarcity, can be reduced through different solutions, such as the use of green materials, good processing techniques and higher recycling rates.

Both glazing and laminating play a certain role in finishing and protecting the surface of printed matter. This study makes a comparative analysis of the two through life cycle assessment (LCA) and theoretically explores the difference between them.

In this study, the life cycle of laminating and glazing processes was calculated through using Simapro software, and the results were compared and analyzed.

Twelve environmental categories were used to quantitatively analyze the environmental impact of the product. The results showed that the results of the 12 environmental categories involved in the analysis of glazing was less than that of laminating, indicating that the impact of the glazing on the environment was less than that of laminating on the environment.

In order to simplify the study, we only calculated and analyzed the laminating and glazing.

Green packaging is the future, 3R1D, reduce, reuse, recycle and degradable. According to the calculation results, corresponding suggestions can be put forward from production, processing, use, waste and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage to the product life cycle can be studied. In addition, different waste disposal methods have different impacts on the environment, and the higher the recovery ratio, the better the environmental benefits of the product. Recycling should then be promoted as proportionately as possible in practice in order to reduce the environmental impact .

High economic policy uncertainty forces firms to accumulate a higher level of cash than during normal business periods. However, it is not evident that economic policy uncertainty has a homogeneous impact across cash-holding distributions. This paper aims to study the impact of economic policy uncertainty, leverage and their interaction on cash-holding distributions.

This study adopted a quantile regression approach to examine the influence of economic policy uncertainty and firm leverage on firm-level cash-holding distributions. To investigate the influence across quantiles, the author estimated 19 quantiles between 0.05 and 0.95.

This study finds that both economic policy uncertainty and firm leverage significantly affect firm-level cash-holding distributions heterogeneously. But, the impact of the interaction of these two variables is significant only for firms placed in the 60th to 85th quantiles of cash holding distribution.

The study adds to the existing knowledge of determinants of firm-level cash holdings but takes exogenous variables as economic policy uncertainty. The paper builds on a unique sample setting wherein, the cash holdings of all nonfinancial firms have increased many folds, including housing companies in an emerging economy.

This paper aims to explore the relationship between economic policy uncertainty (EPU) and promoters’ share pledging activity for real estate and construction firms in India. The author further divides the sample into financially sound and financially constrained firms and re-examines the relationship between EPU and promoters’ share pledging activity for them. Additionally, the author investigates the moderating effect of EPU on firm-level cash holding for pledged firms.

The author conducts multiple regression to examine the effect of EPU on the share-pledging activity of a firm on sample data of Indian construction and real estate firms. The financial and pledging data was collected for all listed firms from March 2009 to March 2020 from the Centre for Monitoring Indian Economy. The EPU data was re-estimated using the three-period moving average method. All data used in the study was collected from secondary sources.

The author finds that EPU influences pledging activity, and the association between them is opposite for financially constrained and financially sound firms. Also, the author reports that an increase in EPU increases firm-level cash holding for pledged firms, and the interaction between EPU and share pledging is significantly associated with firm-level cash holding.

The managerial implications of this study are manifold. Managers of financially constrained firms should pay attention to the promoters pledging activity so that in a rising EPU environment, issues of managerial entrenchment can be avoided. Moreover, any further promoters’ share pledging activity under rising EPU conditions may force managers to hoard higher cash and thus reducing investment and profitability.

This paper presents evidence of relationship between EPU, share pledging activity and firm-level cash holding in an emerging economy. The study also compares the response of financially constrained and financially sound firms for EPU on equity pledging activity and that of equity pledging on firm-level cash holdings.