The uncertainty of eco-friendly intermediate components has an important impact on green supply chain decisions. In this paper, the Stackelberg game model of green investment decision-making among enterprises is established by considering the case of the supplier’s green investment alone and the case of the manufacturer and the supplier’s joint green investment. The influence of green uncertainty on enterprise’s decision-making is analyzed, and the green investment decision-making strategies of both sides in two cases are compared. There are four main conclusions (...) derived from the results: with the increase in the supplier’s green cost coefficient, the supplier will reduce the green investment and the manufacturer will reduce the share of the green costs; with a decrease in uncertainty for eco-friendly intermediate components and the increase in their feasibility factor, the supplier will increase the greenness of intermediate components and increase the investment in environment, and the manufacturer will reduce the share of the green costs; the increase in the manufacturer’s share of green costs will promote the supplier to increase the greenness of intermediate components and increase its green investment, which shall increase the supplier’s optional choice space of for green investment; in the case of the manufacturer and the supplier jointly making a green investment, the threshold value for the environmental input of the supply chain members is lower, and the supply chain members will have more choice space. At the same time, the care for environment in the case of a cooperative is higher than that in the case of a supplier investing alone. (shrink)

Adolescents have gradually become a vital group of interacting with social media recommendation algorithms. Although numerous studies have been conducted to investigate negative reactions that the dark side of recommendation algorithms brings to social media users, little is known about the resistance intention and behavior based on their agency in the daily process of encountering algorithms. Focusing on the concept of algorithm resistance, this study used a two-path model to investigate the algorithmic resistance of rural Chinese adolescents in their daily (...) use of short video apps. The findings revealed that the perceived threat to freedom, algorithmic literacy, and peer influence were positively associated with the resistance willingness and intention; while the independent psychology on algorithmic recommendations significantly weakened resistance willingness and intention. Furthermore, this study verified the mediating role of resistance willingness and intention between the above independent variables and resistance behavior. Additionally, the positive impact of resistance willingness on resistance intention was confirmed. In conclusion, this study offers a comprehensive approach to further understanding adolescents’ algorithmic resistance awareness and behavior by combining psychological factors, personal competency, and interpersonal influences, as well as two types of resistance reactions. (shrink)

Drawing on justice theory and upper echelons perspective, this study develops and tests an integrative model linking justice to the implementation of IT-enabled supply chain information integration through the top management. Specifically, the study investigates the effects of the three facets of justice—distributive, procedural, and interactional justice—on the two dimensions of IeSCII, and examines the mediating influences of top management beliefs and top management participation in these relationships. Using structural equation modeling to analyze data collected from 190 firms in China, (...) the study documents that interactional justice positively affects both TMB and TMP, while procedural justice positively affects TMB in the IeSCII implementation process. In contrast, distributive justice is not significantly related to either TMB or TMP, but is positively associated with information sharing. The results also show that procedural justice positively affects TMB, which then positively affects TMP in IeSCII. Furthermore, the study finds significant mediating effects of TMB and TMP in the relationship between interactional justice and IeSCII. The theoretical and managerial implications of this study are discussed. (shrink)

For global template matching, which is commonly used in the positioning of rail fasteners, only the fastener template is used to search the global image in both two dimensions, which will result in errors in two dimensions, and the lower positioning accuracy will be caused. A positioning method for rail fasteners based on double template matching is proposed in this paper, in which the double template contains the rail template and the fastener template. First, the rail template is used to (...) scan the original image in horizontal dimension, and the squared Euclidean distance is used to obtain the rail positioning in the original image. Combining with the prior knowledge of the fastener template image, the image composed of the rail and the fastener can be obtained, which is called the Rail Area Map in this paper. Then, after preprocessing the RAM and the fastener template image, the fastener template image is used to scan the RAM in vertical dimension, and the normalized correlation coefficient is used to calculate the similarity between the template and the subgraph of the RAM to achieve precise positioning of the fastener. The proposed DTM method adopts a positioning strategy from coarse to fine, and two templates are used to complete different positioning tasks in their own dimension, respectively. Due to the rail can be precise positioned in horizontal dimension, the error of the fastener positioning in the horizontal dimension can be avoided, and thus, the positioning accuracy can be improved. Experiments on the on-site line fastener images prove that the proposed method can effectively achieve the precise positioning of fasteners. (shrink)

To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of knowledge bases, and improves efficiency of searching and semantic analysis. Traditional methods of relationship extraction, either those proposed at the earlier times or those based on traditional machine learning and deep learning, have focused on keeping relationships and entities in their own silos: extracting relationships and entities are conducted in (...) steps before obtaining the mappings. To address this problem, a novel Chinese relationship extraction method is proposed in this paper. Firstly, the triple is treated as an entity relation chain and can identify the entity before the relationship and predict its corresponding relationship and the entity after the relationship. Secondly, the Joint Extraction of Entity Mentions and Relations model is based on the Bidirectional Long Short-Term Memory and Maximum Entropy Markov Model. Experimental results indicate that the proposed model can achieve a precision of 79.2% which is much higher than that of traditional models. (shrink)

In this work, the consensus problem of fractional-order multiagent systems with the general linear model of fixed topology is studied. Both distributed PDα-type and Dα-type fractional-order iterative learning control algorithms are proposed. Here, a virtual leader is introduced to generate the desired trajectory, fixed communication topology is considered, and only a subset of followers can access the desired trajectory. The convergence conditions are proved using graph theory, fractional calculus, and λ norm theory. The theoretical analysis shows that the output of (...) each agent completely tracks the expected trajectory in a limited time as the iteration number increases for both PDα-type and Dα-type FOILC algorithms. Extensive numerical simulations are given to demonstrate the feasibility and effectiveness. (shrink)

Research shows that entrepreneurial activities significantly promote economic development, which enhances the importance of the innovative entrepreneurial potential of college students. This study analyzes the effect of entrepreneurship education on entrepreneurial intention from the perspective of planned behavior theory. By examining the significant role of entrepreneurship education at colleges and universities on economic and social development, we established a conceptual model. To understand the relationship between entrepreneurship education and entrepreneurial intention, the hypotheses propose the intermediary role of entrepreneurial ability, and (...) the study provides evidence from China the relationship between entrepreneurship education and entrepreneurial intention. Improving entrepreneurial intention and encouraging college students to establish businesses through entrepreneurship education in universities is crucial. This study proposes a hypothetical model of the relationship between entrepreneurial competence and entrepreneurial intention in entrepreneurship education at universities. Using a questionnaire survey of college students with practical experience in the Yangtze River Delta of China, the bootstrap method in the SPSS macro program process software verifies the hypotheses. The results show that entrepreneurial teaching, business plan competition, and entrepreneurial practice support positively affect entrepreneurial competence. In addition, entrepreneurial competence plays an intermediary role in the relationship between entrepreneurial teaching, business plan competition, entrepreneurship practice support, and entrepreneurial intention. Entrepreneurship education improves the ability to establish a business in the present and in entrepreneurial activities in the future. Entrepreneurial competence obtained through entrepreneurship education continuously affects entrepreneurial intention. (shrink)

The processes in construction are more likely than others to breed unsafe behaviors, and the consequences of these actions can be serious. This paper first reviews the research status on unsafe behavior in construction teams. It then analyzes the complex mechanisms that lead to unsafe behavior and constructs a three-layer structural model based on agent-based modeling technology. This modeling deals with complexity and elaborates on key points and potential research ideas in the study of unsafe behavior in construction teams. Using (...) the ABM method, the effects of different incentive strategies on the safe behavior of construction teams under different management scenarios were studied. The results showed that when members have a fair perception of the situation, the effect of the excess performance reward distribution, according to the member’s safety awareness level, is better than the average distribution effect. This is the case whether the member’s safety behavior level is positively or negatively related to the member’s safety awareness level. This study proves the feasibility, validity, and universality of the three-layer structural model. It also reaches certain management conclusions and ideas for further development. The purpose of this paper is to provide a reference for research on the containment and prevention of unsafe behavior in construction teams. (shrink)

This paper is an experiment in collective writing conducted in Autumn 2019 at the Faculty of Education at Beijing Normal University. The experiment involves 12 international masters' students readi...

The main idea of S-curve diagram is to assign different angle values to different nucleotide acid residues or to different protein amino acids, and then according to cos α j and sin α j, the values are accumulated to construct an S-curve diagram, which is in strict one-to-one correspondence with the biological sequence. In addition, the S-curve diagram proves to be without the degeneracy phenomenon, so that both the degeneracy problem represented by diagrams and the problem of visualization for biological (...) sequence data are solved. Meanwhile, a new approach to differentiate the similarity of biological sequences—the degree of similarity—is put forward on the basis of the S-curve diagram. To put it in detail, the least square approach is first adopted to obtain a straight line equation according to the S-curve diagram, then according to the distance formula of the point to the straight line, the average ratio of square sum for the distance between the S-curve and the straight line is calculated, and finally, the similarity of the biological sequences is presented by the new standard—the degree of similarity. As is shown by the experimental results, the S-curve diagram can better represent biological sequences within Cartesian coordinate system, and the mutation point of biological sequence. Thus, it turns out that the new standard—the degree of similarity is of obviously great advantage. (shrink)

Purpose As an enabler of environmental sustainability, Green information technology has become an emerging topic of interest in both academic and business communities. Despite its importance, confusions exist in the content and scope of Green IT practice. The purpose of this paper is to provide an overview of the current state of Green IT practice. Design/methodology/approach First 14 widely accepted Green IT practice topics were identified from prior research and a taxonomy was developed to categorize them. Using the content analysis (...) method, these topics were examined in the sustainability reports of 30 IT companies in 2014 Fortune 500. A quantity–quality portfolio framework was developed and applied to measure and assess the Green IT practices of the selected samples. Findings Currently, the Green IT practice is still in its infancy. Both research and practice attention are now focusing on IT’s direct impacts and enabling impacts, while overlooking the systemic impacts, on natural environment. The possible reasons for the current state and the recommendations for future research and practice are provided. Originality/value Theoretically, this paper identified 14 widely accepted Green IT practice topics and developed a taxonomy for categorizing them. The taxonomy and topics provide a theoretical basis for future examination on Green IT practice-related issues. Practically, the findings of this paper provide guidelines for Green IT practice and directions for both Green IT developers and adopters in their decision-making. (shrink)

This study examined the relationship between maternal sense of parenting efficacy and parental stress in children with autism and the moderating effect of family interaction. A total of 263 mothers of children with autism were investigated with the Parenting Ability Scale, Family Interaction Scale, and Parental Stress Scale. The results showed that maternal sense of parenting efficacy significantly predicted parental stress in children with autism; and family interaction significantly moderated the relationship between maternal sense of parenting efficacy and parental stress (...) in children with autism, that is, when family interaction was lower than −1.54 standard deviation, the sense of parenting efficacy did not significantly predict parental stress. When family interaction was higher than −1.54 SD, parenting efficacy had a significant negative predictive effect on parenting stress. (shrink)

Companies increasingly implement digital transformation strategies to promote efficiency. Nevertheless, there are few concerns about employees’ acceptance of the changes, especially the executives’ adaptability, which is an important part of digital transformation strategy implementation. By utilizing the “searching-matching” in keywords of the annual reports of public listed companies in China, we measured the degree of corporate digital transformation to analysis its influence on the turnover rate of the Chairman and CEO. We found that digital transformation decreases the possibility of Chairman (...) and CEO’s turnover. Derived from the dynamic managerial capital theory, we demonstrated that executives’ social network and political connections both have a moderate effect on the relationship between digital transformation and the turnover rate of executives. These findings will contribute to the digital transformation research by integrating with executives’ dynamic managerial capital which is attained through social networks and political connections. (shrink)

This paper focuses on the robust control of fractional-order economical chaotic system with parametric uncertainties and external disturbances. The dynamical behavior of FOECS is studied by numerical simulation, and circuit implementations of FOECS are also given. Based on fractional-order Lyapunov stability theorems, a robust adaptive controller, which can guarantee that all signals remain bounded and the tracking error tends to a small region, is designed. The proposed method can be used to control a large range of fractional-order systems with system (...) uncertainties. Fractional-order adaptation laws are constructed to update the estimation of adaptive parameters. Finally, the robustness and effectiveness of our control method are indicated by simulation results. (shrink)

There are three main problems in track fastener defect detection based on image: The number of abnormal fastener pictures is scarce, and supervised learning detection model is difficult to establish. The potential data features obtained by different feature extraction methods are different. Some methods focus on edge features, and some methods focus on texture features. Different features have different detection capabilities, and these features are not effectively fused and utilized. The detection of the track fastener clip will be interfered by (...) the track fastener bolt subimage. Aiming at the above three problems, a method for track fastener defects detection based on Local Deep Feature Fusion Network is proposed. Firstly, the track fastener image segmentation method is used to obtain the track fastener clip subimage, which can effectively reduce the interference of bolt subimage features on the track fastener clip detection. Secondly, the edge features and texture features of track fastener clip subimages are extracted by Autoencoder and Restricted Boltzmann Machine, and the features are fused. Finally, the similarity measurement method Mahalanobis Distance is used to detect defects in track fasteners. The effectiveness of the proposed method is verified by real Pandrol track fastener images. (shrink)

Research in second language pragmatics has paid increasing attention to learners’ individual differences, but few studies have examined the relationship between learners’ willingness to communicate in L2 and their pragmatic competence. To this end, this study investigates the association between WTC and pragmatic awareness and comprehension of Chinese as a second language learners. A total of 80 CSL learners studying abroad in three universities in China participated in this study. Data were collected through a WTC questionnaire, a self-perceived communication competence (...) questionnaire, a pragmatic awareness judgment task, and a multiple-choice test for pragmatic comprehension. Statistical analyses were conducted to explore the relationship between the learners’ pragmatic awareness and pragmatic comprehension on the one hand and their WTC and SPCC in L2 on the other. The findings indicated that SPCC correlated positively with the learners’ L2 pragmatic comprehension, but not with their L2 pragmatic awareness. No correlation was found between WTC and pragmatic awareness and comprehension. The results suggest that SPCC may contribute to learners’ L2 pragmatic comprehension; some implications for teaching and future research directions are also discussed. (shrink)

Patients with chronic obstructive pulmonary disease are characterized by attenuated pulmonary function and are frequently reported with cognitive impairments, especially memory impairments. The mechanism underlying the memory impairments still remains unclear. We applied resting-state functional magnetic resonance imaging to compare the brain local activities with static and dynamic amplitude of low-frequency fluctuations among patients with COPD and healthy controls. Compared with HC, COPD patients exhibited decreased sALFF in the right basal ganglia and increased dALFF in the bilateral parahippocampal/hippocampal gyrus. The (...) reduced the left basal ganglia was associated with lower oxygen partial pressure. Besides, the increased dALFF in the left hippocampal/parahippocampal cortex was associated with poor semantic-memory performance and the increased dALFF in the left hippocampal/parahippocampal cortex was associated the forced vital capacity. The present study revealed the abnormal static and dynamic local-neural activities in the basal ganglia and parahippocampal/hippocampal cortex in COPD patient and its relationship with poor lung function and semantic-memory impairments. (shrink)