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This study aims to obtained the failure probability distributions of subsystems for industrial robot and filtrate its fault data considering the complicated influencing factors of failure rate for industrial robot and numerous epistemic uncertainties.

A fault data screening method and failure rate prediction framework are proposed to investigate industrial robot. First, the failure rate model of the industrial robot with different subsystems is established and then the surrogate model is used to fit bathtub curve of the original industrial robot to obtain the early fault time point. Furthermore, the distribution parameters of the original industrial robot are solved by maximum-likelihood function. Second, the influencing factors of the new industrial robot are quantified, and the epistemic uncertainties are refined using interval analytic hierarchy process method to obtain the correction coefficient of the failure rate.

The failure rate and mean time between failure (MTBF) of predicted new industrial robot are obtained, and the MTBF of predicted new industrial robot is improved compared with that of the original industrial robot.

Failure data of industrial robots is the basis of this prediction method, but it cannot be used for new or similar products, which is the limitation of this method. At the same time, based on the series characteristics of the industrial robot, it is not suitable for parallel or series-parallel systems.

This investigation has important guiding significance to maintenance strategy and spare parts quantity of industrial robot. In addition, this study is of great help to engineers and of great significance to increase the service life and reliability of industrial robots.

This investigation can improve MTBF and extend the service life of industrial robots; furthermore, this method can be applied to predict other mechanical products.

This method can complete the process of fitting, screening and refitting the fault data of the industrial robot, which provides a theoretic basis for reliability growth of the predicted new industrial robot. This investigation has significance to maintenance strategy and spare parts quantity of the industrial robot. Moreover, this method can also be applied to the prediction of other mechanical products.

Describes the impact of recent changes in US tort law and identifies four interest groups concerned: manufacturers, insurance companies, consumers and lawyers. Discusses their relative strengths, motivations and influence on judicial decisions, citing relevant liability cases for product‐related injuries due to manufacturing defects, design defects and inadequate warnings. Develops a logistic regression model to relate state adoption of strict liability standards to the relative strength of interest groups and applies it to US data. Suggests that the strength of manufacturers and, more particularly, lawyers is significant; and that liberal states are more likely to adopt strict liability for design defects. Calls for further research on the role of the legal profession in legal change.

The victim’s rights movement and restorative justice (RJ) have gained momentum around the world. More laws and policies have focused on crime victims and their families. Western literature suggests that the victim’s family suffers physical, emotional, and financial tolls and that the power of the victim’s family in pursuing justice for their loved ones remains limited. This is particularly concerning within the political and legal context of the abolitionist movement, innocence project, and human rights groups’ campaigns against police torture. Grounded in the perspectives of RJ and Chinese legal culture, this study examines the victim’s family, represented by Ding and senior Yu, of the Nian Bin capital murder case. Drawing on published reports and using the thematic content analysis method, this study examines the following aspects of victim’s family in a death penalty case: 1) victim family’s physical, emotional, and financial tolls; 2) victims’ family and the criminal justice system; 3) victims’ family and the media; and 4) the relationship between the victims’ and the accused’s families. This study concludes with discussions of the competing goals of families impacted by a crime and RJ practices that would help mitigate the loss of the victim’s family and enhance their confidence in the criminal justice system.

The purpose of this paper is to find out the existing practices of the Islamic banks in providing financing to the customers who have a requirement to purchase a finished property and to examine the existing products used by the Islamic banks in this regard by providing an insight into the modus operandi of these products. In doing this, attempt is made to find out the most famous product offered by the Islamic banks in this regard and to find out whether in reality, Malaysian Islamic banking industry has moved away from Bai Bithaman Ajil (BBA) or not.

This is a qualitative research, largely library-based, and it will consist of secondary sources such as books, journals, articles and other sources related to the Islamic house financing in Malaysia for finished properties. Recent information of the practises of the banks in this regard is obtained from the official websites of the banks.

It is found from this study that majority of Islamic Banks in Malaysia prefer to use the Commodity Murabahah facility for finished property. This finding contradicts with the observations made by some scholars who state that in Malaysia, BBA was initially used, and nowadays, the use of Musharakah Mutanaqisah is more common. The reason why Commodity Murbahah has gained popularity is because of the fact that via the Bursa Suq Al Sila platform, it is easy, swift, reliable, profitable, cheaper, convenient and has zero risk to do this type of transaction at the comfort of the office. It is recommended in this paper to use Musharakah Mutanaqisah, as this contract is an innovative contract that is classified as an equity contract under shariah where risk is shared between the parties. There is need to conduct further research to implement Musharakah Mutanaqisah in Malaysia, specifically to reduce the risk that Islamic Banks will bear by practicing this contract.

The findings of this paper might create confusion among readers, as some may perceive that the finding of the paper is not new as BBA has been dominating Islamic house financing industry from the inception of Islamic banking in the country, and BBA and Murabahah are similar in nature, and as such, commodity Murabahah is also a Murabahah transaction. The reality that needs to be understood is that the way BBA was or is practised in Malaysia in relation to Islamic house financing is that in the name of BBA, the transaction actually followed the Bai’ ‘inah contract, which is a controversial contract among the shariah scholars. Likewise, commodity Murabahah is also a different contract than Murabahah, as it actually refers to tawarruq. As such, this research finding is important to the Islamic banking industry to understand that Malaysia has moved away from the Bai’ ‘inah contract practised in the name of BBA in Islamic house financing, and there are new products introduced by the Islamic banks in Malaysia to replace this practice which were criticised by Shariah scholars.

Chat Generative Pre-trained Transformer (ChatGPT) has become everyone’s talk. It frightens many professionals, who worry about losing their jobs. ChatGPT may reconstruct some professions; some occupations may vanish while new ones may appear.

This mixed-methods study explores whether and how the use of ChatGPT impacts English is taught as a foreign language (EFL) students' social and emotional learning (SEL). The study used a questionnaire and collected perception data from 57 EFL students. A discussion with seven EFL professors was also formulated to triangulate the findings.

Results indicate that EFL students have high positive perceptions of using ChatGPT in their learning (M = 3.87). Results also showed that using ChatGPT has a moderate impact on EFL students' SEL (R = 514). This moderate effect was confirmed by the qualitative findings, which indicated that ChatGPT positively impacts EFL students' SEL by allowing them to practice conversation skills, aiding them in managing their emotional intelligence, providing them with feedback and reducing their anxiety. However, findings also indicated that ChatGPT reduces students' creativity and limits their emotional growth. Finally, the findings reported that for better use of ChatGPT, supervision is key.

This study recommends the use of ChatGPT in a way that helps students' creativity and emotional growth.

The objective of the chapter is to discuss the role of wa’d (promise) to mitigate risk in different Islamic banking products. The chapter will illustrate the element of wa’d in different Islamic banking products in Malaysia.

The study has adopted the document review method to get information on different banking products. Moreover, it conducted semi-structured interviews with bankers to get in-depth information.

The study finds out that wa’d plays a vital role in structuring several products including retail products, trade financing products, and treasury products. Along with the unilateral wa’d there is a usage of double wa’d (wa’dan) in some product structures. In most of the products, wa’d is included as a risk mitigation instrument along with other major underlying Shari’ah contracts. Some Shari’ah issues are involved with these products namely the Shari’ah rulings related to wa’dan, “form over substance,” etc.

This is an in-depth field study which adds new knowledge on wa’d-based products. The experience of Malaysia might be a lesson for other countries to minimize risk in their Islamic banking products.

This chapter provides a case study on a Sharīʿah-compliant home facility contract based on the Bai Bithaman Ājil (BBA) contract, generally used by Islamic banks in Malaysia. The study emphasises on the need to comply with the existing legal framework and execute relevant contracts in line with the Sharīʿah resolutions of the Sharīʿah Advisory Council of Bank Negara Malaysia without causing harm (ḍarar) to the customers or introducing uncertain elements or procedures (gharar) in the execution of the agreements. This chapter is based on doctrinal analysis of the relevant issues as well as a qualitative legal research through content analysis of relevant BBA agreements, case law as well as statutory provisions. The case study used in this chapter is completely anonymised. The study finds that the execution of BBA agreements in Malaysia leaves much to be desired. Even though the regulatory framework for Sharīʿah-compliant home financing in Malaysia is robust, there are some legal and Sharīʿah considerations which the stakeholders need to look into in order to project Malaysia as the main global hub of Islamic finance. This study demonstrates the need for proper Sharīʿah auditing of the practical execution of BBA agreements to avoid an incorporated element of gharar at the time of execution of the agreements, which might ultimately lead to unforeseen reputation risks for the bank. Though there are several studies on the Sharīʿah, financing and accounting aspects of the BBA home facility agreement, this study focusses on both Sharīʿah and legal issues, using the case study approach. The recommendations are expected to provide a good policy framework for the stakeholders in the Islamic financial services industry in Malaysia.

Independent directors are important corporate decision participants and makers. Based on the Chinese cultural background, this paper interprets the listing order of independent directors as independent directors’ status, exploring their influence on the corporate research and development (R&D) behavior.

This paper studies A-share listed firms in China from 2008 to 2018 as the sample. The main method is ordinary least square (OLS) regression. We also use other methods to deal with endogenous problems, such as the firm fixed effect method, change model method, two-stage instrumental variable method, and Heckman two-stage method.

(1) Higher independent directors’ status attribute to more effective exertion of supervision and consultation function, and positively enhance the corporate R&D investment. The increase of the independent director’ status by one standard deviation will increase the R&D investment by 4.6%. (2) The above effect is more influential in firms with stronger traditional culture atmosphere, higher information opacity and higher performance volatility. (3) High-status independent directors promote R&D investment by improving the scientificity of R&D evaluation and reducing information asymmetry. (4) The enhancing effect of independent director’ status on R&D investment is positively associated with the firm’s patent output and market value.

This paper contributes to understanding the relationship between the independent directors’ status and their duty execution from an embedded cultural background perspective. The findings of the study enlighten the improvement of corporate governance efficiency and the healthy development of the capital market.

In order to accurately forecast nonlinear and complex characteristics of solar power generation in China, a novel discrete grey model with time-delayed power term (abbreviated as TDDGM(1,1,tα) is proposed in this paper.

Firstly, the time response function is deduced by using mathematical induction, which overcomes the defects of the traditional grey model. Then, the genetic algorithm is employed to determine the optimal nonlinear parameter to improve the flexibility and adaptability of the model. Finally, two real cases of installed solar capacity forecasting are given to verify the proposed model, showing its remarkable superiority over seven existing grey models.

Given the reliability and superiority of the model, the model TDDGM(1,1,tα) is applied to forecast the development trend of China's solar power generation in the coming years. The results show that the proposed model has higher prediction accuracy than the comparison models.

This paper provides a scientific and efficient method for forecasting solar power generation in China with nonlinear and complex characteristics. The forecast results can provide data support for government departments to formulate solar industry development policies.

The main contribution of this paper is to propose a novel discrete grey model with time-delayed power term, which can handle nonlinear and complex time series more effectively. In addition, the genetic algorithm is employed to search for optimal parameters, which improves the prediction accuracy of the model.

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.