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Quality is considered one of the essential competitive priorities for managing the Small, Medium Electronics Enterprises (SMEE) market in China; here, the most critical competing priorities and precondition for sector survival and growth are analysed. Instead, small and medium-sized enterprises are significantly disadvantaged and limited to validation capital.

Quality results are controlled by continuous measurement, irrespective of the product form, as a fundamental issue among firms. Hence, it enables the electronics markets to deal with various aspects of quality programs with effective deployment of IoT-assisted identify management (IIDM) model.

It enables the electronics markets to deal with various aspects of quality programs with effective deployment of IIDM model available to them without wasting in unimportant and non-productive areas. IIDM makes it essential for SMEEs to analyze total quality management (TQM) towards better understanding the relationship between internal structures and external ones to achieve better quality results.

Analyzes TQM towards better understanding shows the relationship between internal and external structures to achieve better quality results.

Human resource management (HRM) practices must take an ambidextrous approach because of changing work environments and challenges. Ambidextrous practices in HRM fall in the domain of developing expertise for complex environments and reducing ambiguities in present turbulent times. Dual-oriented ambidextrous human resource practices (AHRP) can promote employee innovation performance. Drawing on social exchange theory to explore the impact of AHRP on employee innovation performance, this paper examines the mediating role of inclusive leadership style.

Data were collected through a questionnaire from employees of three Fortune 500 Chinese companies from the telecom, electronics and automotive sectors with temporal separation in two waves. The final sample constituted 276 useable responses.

Results indicate that ambidextrous HR practices have a significant impact on innovation performance, and an inclusive leadership style mediates this relationship, together explaining a 27.8% variance.

This paper examines the effect of dual-oriented AHRPs in the emerging markets context as a guide to best practices for managers to employ ambidexterity in HRM to enhance employees' innovation performance by enhancing both commitment as well as cooperation simultaneously.

This paper aims to prepare an oil-impregnated porous polytetrafluoroethylene (PTFE) composite with advanced tribological properties using citric acid as a novel pore-forming agent.

Citric acid (CA) was used to form pores in PTFE, and then oil-impregnated PTFE composites were prepared. The pore-forming efficiency of CA was evaluated. The possible mechanism of lubrication was proposed according to the tribological properties.

The results show CA is an efficient pore-forming agent and completely removed, and the porosity of the PTFE increases with the increase of the CA content. The oil-impregnated porous PTFE exhibits an excellent tribological performance, an increased wear resistance of 77.29% was realized in comparison with neat PTFE.

This study enhances understanding of the lubrication mechanism of oil-impregnated porous polymers and guides for their tribological applications.

Human resource practices are transforming at a varying pace for different businesses to meet the increasingly intensified external challenges. The pursuit of innovation while balancing the tensions between flexibility and efficiency has become a core challenge for survival in this globally competitive era. The literature identifies ambidexterity as a realistic choice to manage these tensions during transformation towards diversified and innovative human resource practices. Based on social exchange theory (SET), this study explores the impact of ambidextrous human resource practices (AHRPs) on organization members' innovation performance while examining the mediating effect of psychological safety.

Data were collected for this cross-sectional study in three waves, and the final sample included 788 employees from 32 companies across different industries in China.

The results of data analysis indicate support for all the hypothesized relationships. AHRPs positively affect employee innovation performance; employee psychological safety mediates this relationship; inclusive leadership moderates the direct effect of AHRPs on employee psychological safety and the indirect effect of AHRPs on employee innovative performance through psychological safety. Theoretical and practical implications of the study are also presented.

This study examines AHRPs’ influence on employee innovation performance mediated by psychological safety and the moderating role of inclusive leadership in the above relationship to clarify the boundary conditions of AHRPs' effect on innovation performance.

The purpose of this paper is to study the influence of cooperative and competitive personalities on tacit knowledge sharing (TKS) by exploring the mediating role of organizational identification (OI) and the moderating role of perceived organizational support (POS) among Chinese employees.

Conducting a network survey of ordinary employees from Chinese listed companies (2019) as the research objects, the authors collect 298 valid samples for research. The authors apply confirmatory factor analysis to test the reliability and validity of the constructs, structural equation modeling to verify the direct effect and the PROCESS macro to test the mediating and moderating effects.

The results show that there is a positive relationship between cooperative personality (COP) and TKS, and there is an inverted U-shaped relationship between competitive personality (CMP) and TKS. OI plays a mediating role between COP and TKS, while POS plays a negative moderating role between COP and TKS.

This paper only takes Chinese employees as the research sample, and future research can make a cross-cultural comparison between the impacts of cooperative and competitive personalities on employees’ behaviors.

The results of this study suggest that enterprises should actively cultivate the COP of employees, and managers should refrain from intervening in the behaviors of employees with COP. At the same time, for employees with CMP, managers should guide them to control their competitive tendency at a reasonable level. The conclusions of this paper also suggest that managers should pay attention to the cultivation of employees’ OI.

This study plugs the gap in research on the impacts of cooperative and competitive personalities on TKS. It makes a contribution to the research development of COP and CMP and their influence mechanisms on employees’ behaviors. In addition, the negative moderating effect of POS on COP–TKS link verifies the correctness of Y theory. Studying the relationships among personality traits (cooperative and competitive personalities), cognition (OI) and behaviors (TKS), this paper makes a contribution to such a research stream.

This paper aims to develop a resonant accelerometer for structure optimization. The dynamic analysis of the resonator for resonant accelerometer are investigated.

First, the working principle and mechanical model of the resonator are introduced. Moreover, dynamic analysis of the resonator is used for the purpose of investigating the dynamic characteristics of the resonant accelerometer. Finally, to verify the feasibility of the proposed dynamic analysis method, resonant accelerometer 1g static tumbling experiments of resonant accelerometer are built.

It can be seen from the natural frequency and the resonator mode that only when the resonator root stiffness is much greater than the resonant beam stiffness, there will be appear corresponding interference mode, therefore,the resonator root stiffness is avoid too large in design. The stability analysis result of resonant beam under axial force show that the resonant beam parameters should be maintained a constant. At the same time, it is concluded from the vibration mode analysis for resonant beam that the influence of the beam thickness and beam errors on the first and second order modes is great. On the other hand, it is concluded from the test result that the designed resonant accelerometer sensitivity is 98 Hz/g, which shows that the dynamic analysis method is feasible.

The research may be significant in the field of resonant sensors, supporting a variety of practical applications such as phone and game.

This paper seeks to establish a foundation for designing and optimizing resonant accelerometer structure. To this end, the dynamic analytical method of the resonator for resonant accelerometer was discussed. The results of this research have proved that the dynamic analysis based on a resonator is an effective approach and instructional in practical resonant sensor design.

To study fracture characteristics of jointed rock masses under blasting load, the RFPA2D analysis software for dynamic fracture of rocks based on the finite element method and statistical damage theory was used.

On this basis, this research simulated the fracture process of rock masses in blasting with different joint geometrical characteristics and mainly analysed the influences of distance from joints to blasting holes, the length of joints, the number of joints and joint angle on fracture of rock masses.

The calculation results show that with the constant increase of the distance from joints to blasting holes, the influences of joints on blasting effects of rock masses gradually reduced. Rock masses with long joints experienced more serious damages than those with short joints. Damages obviously increased with the changing from rock masses without joints to rock masses with joints, and when there were three joints, the further increase of the number of joints had unobvious changes on blasting effects of rock masses. Joints showed significant guidance effect on the propagation of cracks in blasting: promoting propagation of main vertical cracks deflecting to the ends of joints.

The research results are expected to provide some theoretical bases in practical application of engineering blasting.

This purpose of this paper is to design a peg-in-hole controller for a cable-driven serial robot with compliant wrist (CDSR-CW) using cable tensions and joint positions. The peg is connected to the robot link through a CW. It is required that the controller does not rely on any external sensors such as 6-axis wrist force/torque (F/T) sensor, and only the compliance matrix’s estimated value of the CW is known.

First, the peg-in-hole assembly system based on a CDSR-CW is analyzed. Second, a characterization algorithm using micro cable tensions and joint positions to express the elastic F/T at the CW is established. Next, under the premise of only knowing the compliance matrix’s estimate, a peg-in-hole controller based on force/position hybrid control is proposed.

The experiment results show that the plug contact F/T can be tracked well. This verifies the validity and correctness of the characterization algorithm and peg-in-hole controller for CDSR-CWs in this paper.

First, to the authors’ knowledge, there is no relevant work about the peg-in-hole assembly task using a CDSR-CW. Besides, the proposed characterization algorithm for the elastic F/T makes the peg-in-hole controller get rid of the dependence on the F/T sensor, which expands the application scenarios of the peg-in-hole controller. Finally, the controller does not require an accurate compliance matrix, which also increases its applicability.

Wool, mainly composed of keratin, is a relatively high-grade clothing material. Although woollen textile has the advantages of high wearing comfort and excellent warmth retention property as we have known, its inherent disadvantage of easy pilling has easy puzzled people for a long time. Most of the existing technologies for pilling resistance are not eco-friendly or severely damaged the internal structure of wool.

In this work, a controlled and effective surface treatment method was proposed to controllable micro-dissolution the scale layers of wool with minor damage to its internal structure, thereby improving the anti-pilling property of wool. Thiourea dioxide (TD) is used as a dissolving agent to swell and dissolve wool surface flakes. After TD treatment, the morphology changes of wool fibers were observed by scanning electron microscope (SEM) and methylene blue staining. Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) were used to characterize the structural changes of TD wool. At the same time, the anti-pilling properties and wettability of wool fabrics were tested.

The results show that the wool scale layer is destroyed after TD treatment, which reduces the friction between fibers and improves the anti-pilling performance of wool fabrics. The methylene blue-stained images further demonstrate that low concentrations of TD can damage the superficial scale layer of wool without significant loss of strength.

This method is simple, eco-friendly and economical, and opens up a new direction for the surface treatment of wool fabrics.

Due to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the accuracy of dynamic model for n-Degree of Freedom (DOF) serial robot.

This paper exploits a combination of the link dynamical system and the friction model to create robot dynamic behaviors. A practical approach to identify the nonlinear joint friction parameters including the slip properties in sliding phase and the stick characteristics in presliding phase is presented. Afterward, an adaptive variable-step moving average method is proposed to effectively reduce the noise impact on the collected data. Furthermore, a radial basis function neural network-based friction estimator for varying loads is trained to compensate the nonlinear effects of load on friction during robot joint moving.

Experiment validations are carried out on all the joints of a 6-DOF industrial robot. The experimental results of joint torque estimation demonstrate that the proposed strategy significantly improves the accuracy of the robot dynamic model, and the prediction effect of the proposed method is better than that of existing methods.

The proposed method extends the robot dynamic model with friction compensation, which includes the nonlinear effects of joint stick motion, joint sliding motion and load attached to the end-effector.