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The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory and conditioned reflex. The approach is significant for dealing with the problems of robot’s redundant movements and operator’s fatigue in human–robot interaction system.

This paper presented a directional double clustering algorithm (DDCA) to achieve the training process. The DDCA ensured that the initial clustering centers uniformly distributed in every desired cluster. A minimal resource allocation network was used to construct a memory responding algorithm (MRA). When the human–robot interaction system needed to carry out a task for more than one time, the desired movements of the robot were given by the MRA without repeated training. Experimentally demonstrated results showed the proposed training-responding controlling approach could successfully accomplish human–robot interaction tasks.

The training-responding controlling approach improved the robustness and reliability of the human–robot interaction system, which presented a novel controlling method for the operator.

This approach has significant commercial applications, as a means of controlling for human–robot interaction could serve to point to the desired target and arrive at the appointed positions in industrial and household environment.

This work presented a novel training-responding human-robot controlling method. The human-robot controlling method dealt with the problems of robot’s redundant movements and operator’s fatigue. To the authors’ knowledge, the working processes of muscle memory and conditioned reflex have not been reported to apply to human-robot controlling.

The aim of the present paper was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO₂/H₂S environments. The pipeline steel surface usually has been pre-treated before using in the oil/gas field, such as by passivation, blackening, and phosphiding. The effectiveness of inhibition can vary because there are many differences between the metal matrix and the treated film.

Imidazoline (IM) was synthesized by using oleic acid and diethylenetriamine, and its composition was verified using Fourier transform infrared spectroscopy. The oxide film (OF) covering a sample of L360 steel was characterized using X-ray diffraction, and its surface morphology was observed using scanning electron microscope. Electrochemical impedance spectroscopy measurements were conducted to study the inhibition performance of IM- and/or OF-covered L360 steel in the CO₂/H₂S environments.

The results show that IM and OF can prevent corrosion on L360 steel in CO₂/H₂S environments, and the synergistic inhibition effect of IM and OF was very evident. A possible model is proposed to explain the synergistic inhibition effect in the CO₂/H₂S environments of IM and OF on L360 steel.

Few reports have concerned the effect of the OF on the inhibitor’s performance, especially in CO₂/H₂S systems. The aim of the present study was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO₂/H₂S environments. A model is proposed to explain the synergistic inhibition effect mechanism between IM and OF.

This paper aims to design a novel TiC/GTD222 nickel-based high-temperature alloy with excellent hot corrosion resistance by incorporating appropriate amounts of C, Al and Ti elements into GTD222 alloy.

The composite material was prepared using the selective laser melting (SLM) technology, followed by a hot isostatic pressing (HIP) treatment. Subsequently, the composite underwent a hot corrosion test in a 75% Na₂SO₄ + 25% NaCl mixed salt environment at 900 °C.

The HIP-SLMed TiC/GTD222 composite exhibits a relatively low weight loss rate. First, the addition of alloying elements facilitates the formation of multiple protective oxide films rich in Al, Ti and Cr. These oxide films play a crucial role in enhancing the material’s resistance to hot corrosion. Second, the HIP treatment results in a reduction of grain size in the composite and an increased number of grain boundaries, which further promote the formation of protective films.

The hot corrosion behavior of the TiC/GTD222 nickel-based composite material prepared through SLM and HIP processing has not been previously studied. This research provides a new approach for designing nickel-based superalloys with excellent hot corrosion resistance.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.

In the competitive business world, companies strive to be innovative, and to do so, they try to implement innovative human resource practices. Therefore, the authors propose an association between innovative human resource practice, organizational commitment, innovation performance and transformational leadership.

This study gathered data from 1,037 small- and medium-sized enterprises and implied partial least square structural equation modeling PLS-SEM using Smart PLS was adopted to test the hypotheses.

The findings reveal positive direct relationships between innovative human resource practices, organizational commitment and innovation performance. Moreover, organizational commitment positively mediates and transformational leadership significantly and positively moderates the relationship. Companies should use innovative recruitment and selection, performance management, and innovative compensation to enhance organizational commitment and innovation performance. In addition, the optimized organizational commitment aids in strengthening the connection between innovative human resource practices and firms' innovation performance.

Managers should also develop a sense of affiliation and attachment to increase innovation performance. The study contributes empirically to the literature on innovative human resource practices and their effect on organizational commitment and innovation performance.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

Methylene blue (MB) is classified as a cationic dye which is widely used as chemical indicator, coloring agent and biological stain. The discharge of this dye to the water streams is harmful to the human beings. For this reason, this study investigated the removal of MB from aqueous solution by hydrogel nanocomposite.

In experimental part, at first, ultraviolet (UV)-curable hydrogel/chitosan nanocomposite, which improves its elasticity by urethane acrylate, was synthesized and characterized by FTIR and SEM analysis. Afterward, the synthesized hydrogel nanocomposite was applied for the removal of MB and the influence of operational condition including nanocomposite loading, dye concentration, contact time and pH of solution was specified. Moreover, isotherm studies as well as kinetics survey were performed.

Langmuir, Freundlich, Brunauer, Emmett and Teller and Tempkin adsorption isotherms were assessed for the analysis of experimental data indicating the Freundlich isotherm was the best fitted one. The adsorption kinetics data was examined indicating the adsorption kinetics appropriate to pseudo-second-order kinetics model.

The predominant water absorption property of the UV-curable hydrogel/chitosan nanocomposite to 8.5 steps and outstanding adsorption capacity for the elimination of MB on hydrogel nanocomposite subscribed that the synthesized hydrogel could be a favorable adsorbent for simultaneous absorption of water and removal of cationic dyes.

The purpose of this study is to investigate the level of job satisfaction among employees in the telecommunications company in Uzbekistan and assess the effects of demographic and work-related variables on job satisfaction.

A survey questionnaire method was used to obtain the data from 403 employees working in the telecommunications company in Uzbekistan. The data were collected using the Minnesota Satisfaction Questionnaire short-form.

The results of the study indicated a significant effect of age and tenure on the job satisfaction. Age was found to be positively associated with the job satisfaction and intention to stay. The older employees are more likely to be satisfied and stay with the current company for the next 5 years. The tenure was also found to be positively correlated with the overall job satisfaction and intrinsic job satisfaction. It also has been revealed that male employees are less likely than female employees to stay in the company for the next 5 years ceteris paribus. According to the survey results, there was no significant impact of education level, gender, marital status or job field on the job satisfaction of the employees.

The results of the study demonstrate interesting job satisfaction findings of employees working in the telecommunications company in Uzbekistan, which can draw attention of the senior management and human resource departments to increase the level of job satisfaction levels among employees and start implementing the job satisfaction measures within the companies in Uzbekistan in order to create effective human resource management systems and retain qualified employees.