Background: Nurses’ service behaviors have critical implications for hospitals. However, few studies had adequate ethical considerations of service behaviors and accounted for how organizational or individual antecedents can induce nurses to engage in service behaviors. In addition, they mainly focused on the one side of role-prescribed or extra-role service behavior. Objective: This study aims to explore the chained mediation effect of ethical climate and moral sensitivity on the relationship between organizational ethical leadership and nurses’ service behaviors and to examine the (...) relationship, from a comparative view, of the role-prescribed service behavior and extra-role service behavior. Methods: In all, 476 nurses from three tertiary hospitals were investigated with the Ethical Leadership Scale, Ethical Climate Scale, Moral Sensitivity Questionnaire and Service Behavior Questionnaire. Structural equation modeling was adopted to analyze the data. SPSS and Mplus statistical software was used in the data analysis. Ethical considerations: Approval was obtained from the Ethics Committee at School of Nursing, Hebei Medical University. Data privacy and confidentiality were maintained and assured by obtaining subjects’ informed consent to participate in the research before data collection. Results: The effects of ethical leadership on nurses’ service behaviors are mediated by two variables in turn: ethical climate and nurses’ moral sensitivity. Ethical climate and moral sensitivity partially mediated the relationship between ethical leadership and nurses’ role-prescribed service behavior and fully mediated the relationship between ethical leadership and nurses’ extra-role service behavior. Conclusion: Organizational ethical leadership positively affected ethical climate, which positively affected nurses’ moral sensitivity and affected both their role-prescribed service behavior and extra-role service behavior. (shrink)

This paper proposes a new 5D chaotic system with the flux-controlled memristor. The dynamics analysis of the new system can also demonstrate the hyperchaotic characteristics. The design and analysis of adaptive synchronization for the new memristor-based chaotic system and its slave system are carried out. Furthermore, the modularized circuit designs method is used in the new chaotic system circuit implementation. The Multisim simulation and the physical experiments are conducted, compared, and matched with each other which can demonstrate the existence of (...) the attractor for the new system. (shrink)

This paper studies the problem of leader-following synchronization for complex networks subject to delayed impulsive disturbances, where two kinds of time delays considered exist in internal complex networks and impulsive disturbances. Some delay-dependent sufficient criteria are derived in terms of linear matrix inequalities by using the delayed impulsive differential inequality method. Moreover, a feedback controller is designed to realize desired synchronization via the established LMIs. Our proposed results show that the requirements of impulse intervals and impulse sizes are dropped, and (...) delayed impulses and large scale impulses are allowed to coexist. Finally, some examples are given to show the effectiveness of the obtained results. (shrink)

Employing an aero-acoustic levitator, the Fe 2 O 3 -16.5 mol% La 2 O 3 eutectic alloy was levitated, melted, undercooled and then solidified under a containerless condition when a continuous laser beam heating system was incorporated. By revealing the surface and cross-sectional microstructures, copious nucleation is confirmed to take place in the undercooled melts solidified by either an external seeding or spontaneous crystallization. The nucleation behaviour of eutectic alloys is summarized, indicating that copious nucleation may be an intrinsic attribute (...) of a eutectic system with the exact eutectic composition in unconstrained solidification. Considering the complexity level of crystal structures of eutectic oxide phases in the Fe 2 O 3 -La 2 O 3 alloy, the linear kinetic constants are approximately estimated and the growth kinetics are discussed. The sluggish growth kinetics of the perovskite-type phase, that is LaFeO 3 with a higher complexity level in a unit cell leads to a decoupled growth within a single eutectic colony when the melt is undercooled to exceed the critical undercooling j T = 125 K. It is the decoupled growth that results in the formation of anomalous eutectics. The present concept based on the kinetic constant of different phases can also be applicable to account for the growth behaviour of other oxide eutectics when considering the stable and metastable eutectic reactions in different solidification conditions. The nucleation behaviour and growth modes in some oxide eutectic systems have been predicted in the free solidification from an undercooled state. (shrink)

Community detection is helpful to understand useful information in real-world networks by uncovering their natural structures. In this paper, we propose a simple but effective community detection algorithm, called ACC, which needs no heuristic search but has near-linear time complexity. ACC defines a novel similarity which is different from most common similarity definitions by considering not only common neighbors of two adjacent nodes but also their mutual exclusive degree. According to this similarity, ACC groups nodes together to obtain the initial (...) community structure in the first step. In the second step, ACC adjusts the initial community structure according to cores discovered through a new local density which is defined as the influence of a node on its neighbors. The third step expands communities to yield the final community structure. To comprehensively demonstrate the performance of ACC, we compare it with seven representative state-of-the-art community detection algorithms, on small size networks with ground-truth community structures and relatively big-size networks without ground-truth community structures. Experimental results show that ACC outperforms the seven compared algorithms in most cases. (shrink)

Tight sandstone gas is widespread in the middle and lower Permian Shan 1 and He 8 Members in the northwestern Ordos Basin. We have studied the diagenesis by means of many petrographic techniques and determined its important influence on reservoir quality. The quantitative characterization of porosity evolution is important when analyzing reservoir consolidation. We found that reservoir rock types are mainly sublitharenite, quartz arenite, and litharenite in the deltaic facies through petrological and mineralogical analyses. Metamorphic rock, followed by volcanic rock, (...) dominates the lithic fragment types. In the early diagenetic stage, the reservoirs mainly underwent intensive compaction, hydrolysis, and alteration of volcanic debris. Sandstones in the middle diagenesis stage were characterized by quartz overgrowth, volcanic debris dissolution, cementation, and calcite and kaolinite replacement. Based on the formula from Beard and Weyl, we calculated that the original porosity of tight gas sandstones was 38.61%. The porosity loss during compaction was 26.64%; by cementation, it was 11.46%; and carbonate, siliceous, and authigenic clay cements accounted for 1.31%, 3.61%, and 6.44% loss in porosity, respectively. Dissolution was relatively weak, with an average increase in porosity of 4.86%, whereas the present porosity is 7.47%. We observed that the pore types in the study area are composed of intragranular dissolution pores and kaolinite intercrystalline pores, followed by residual primary pores and intergranular dissolution pores. However, microcracks were not common. Based on the results of the rate-controlled mercury intrusion, the pore diameters in different samples are similar but there were clear differences in the throat diameters. Nuclear magnetic resonance results indicate that the cutoff value is 13 ms with the movable fluid mainly distributed in larger pores. As the pressure increased, fluid in the larger pores was discharged in large quantities but there was no discharge of nonmovable fluid in the small pores. We conclude that intensive diagenetic transformation was the main cause of reservoir consolidation and multistage cementation resulted in a complicated pore-throat network and reduced reservoir permeability. (shrink)

We investigate how a broker firm’s initial public offering affects its analysts’ fiduciary duty of providing independent and objective recommendations. We find that the analysts of newly listed broker firms issue more positively biased recommendations in the first 2 to 3 years after their employers’ IPO than before the IPO. The increase in the recommendation bias is greater among analysts of affiliated brokers and brokers that raise additional capital after their IPO than among other analysts. Newly listed broker firms experience (...) significant increases in revenue and trading commission, and the increases are positively related to recommendation bias, after controlling for many other factors. More importantly, recommendation bias decreases as newly listed broker firms season and as the importance of trading commission declines. This suggests that public exposure through a broker firm’s IPO does not enhance the integrity and professional conduct of its financial analysts. Rather, economic incentives make financial analysts more accepting of unethical behavior. The overall results imply that the public trading of financial gatekeepers compromises the ethical relationship between financial service professionals and society in general. (shrink)

Using computers to conduct human body simulation experiments can benefit from both economic and security. However, the human simulation experiment usually requires vast computational resources due to the complex simulation model which combines complicated mathematical and physical principles. As a result, the simulation process is usually time-consuming and simulation efficiency is low. One solution to address the issue of simulation efficiency is to improve the computing performance of the server when the complexity of the simulation model is determined. In this (...) paper, we proposed a concurrent optimization scheme for the server that runs simulation experiments. Specifically, we firstly propose the architecture of the server cluster for the human body simulation, and then we design the concurrent optimization scheme for the server cluster by using Nginx. The experiment results show that the proposed concurrent optimization scheme can make better use of server resources and improve the simulation efficiency in the case of human sport simulation. (shrink)

Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...) line capacity scheduling algorithm, and display them in an intuitive way. The experimental results show that the algorithm model established in this paper can basically meet the data requirements of operation and management, and can provide decision support for customized bus line planning. (shrink)

With the face of a highly uncertain market environment, an empirical study of researchers in Henan Province found that improvisational behavior has a positive effect on innovation performance, and that team tenure heterogeneity has a significant moderating effect between improvisational behavior and innovative performance. Therefore, we propose a coping strategy to improve innovative performance form the use of team tenure heterogeneity to form a scientific research team and create an environment conducive to improvisational behavior.

In the development of technology for smart cities, the installation and deployment of electronic motor vehicle registration identification have attracted great attention in terms of smart transportation in recent years. Vehicle velocity measurement is one of the fundamental data collection efforts for motor vehicles. The velocity detection using electronic registration identification of motor vehicles is constrained by the detection algorithm, the material of the automobile windshield, the placement of the decals, the installation method of the signal reader, and the angle (...) of the antenna. The software and hardware for electronic motor vehicle registration identification produced in the standard manner cannot meet the accuracy of velocity detection for all scenarios. Based on the actual application requirements, we propose a calibration method for the numerical output of the automobile velocity detector based on edge computing of the optimized multiple reader/writer velocity values and based on a particle swarm-optimized radial basis function neural network. The proposed method was tested on a two-way eight-lane road, and the test results showed that it can effectively improve the accuracy of velocity detection using electronic registration identification of motor vehicles. Compared with the actual velocity, 87.12% of all the data samples had an error less than 5%, and 91.76% of the data samples for vehicles in the center lane had an error less than 5%. By calibrating the electronic vehicle velocity based on the registration identification, the accuracy of velocity detection in different application environments can be improved. Moreover, the method can establish an accurate foundation for application in traffic flow management, environmental protection, traffic congestion fee collection, and special vehicle traffic management. (shrink)

With the rapid development of sensor technology for automated driving applications, the fusion, analysis, and application of multimodal data have become the main focus of different scenarios, especially in the development of mobile edge computing technology that provides more efficient algorithms for realizing the various application scenarios. In the present paper, the vehicle status and operation data were acquired by vehicle-borne and roadside units of electronic registration identification of motor vehicles. In addition, a motion model and an identification system for (...) the single-vehicle lane-change process were established by mobile edge computing and self-organizing feature mapping. Two scenarios were modeled and tested: lane change with no vehicles in the target lane and lane change with vehicles in the target lane. It was found that the proposed method successfully identified the stochastic parameters in the process of driving trajectory simulation, and the standard deviation between simulation and the measured results obeyed a normal distribution. The proposed methods can provide significant practical information for improving the data processing efficiency in automated driving applications, for solving single-vehicle lane-change applications, and for promoting the formation of a closed loop from sensing to service. (shrink)