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Monetary policy has major impacts on macroeconomic indicators of the country. Accordingly, uncertainty regarding monetary policy shifts can cause challenges and risks for businesses, financial markets and investors. Thus, the purpose of this study is to investigate how real estate market volatility responds to monetary policy uncertainty.

The GARCH-MIDAS model is applied in this study to investigate the nexus between monetary policy uncertainty and real estate market volatility. This model was fundamentally instituted to accommodate low-frequency variables.

The results of this study reveal that increased monetary policy uncertainty highly affects the volatility in real estate market during the peak period of COVID-19 as compared to full sample period and COVID-19 recovery period; hence, a significant decline is evident in real estate market volatility during crisis.

This study is particularly focused on peak and recovery period of COVID-19 considering the geographical region of Greece, Japan and the USA. This study provides a complete perspective on the nexus between monetary policy uncertainty and real estate markets volatility in three distinct economic views.

This paper examines the influence of micro-credential learning on students' perceived employability. In addition, the study aims to explore different components that will help students to gain knowledge, enhance their careers and develop their human capital (social, cultural and scholastic capital). Hence, the study also analyzed the mediating role of human capital on the aforementioned association.

Explanatory research was conducted by utilizing a correlational research design. A questionnaire comprising of closed-ended items was utilized in the study. The data was analyzed by employing PLS-SEM technique.

Our findings stipulate that micro-credential learning is an essential component to improve students' perceived employability. The study identified that micro-credential programs have a positive relationship with students' perceived employability. Moreover, the findings that micro-credential learning significantly impacts students' human capital, i.e. cultural, social and scholastic capital. Additionally, human capital acts as a significant mediator in the relationship between micro-credential learning and students' perceived employability. Moreover, participation in micro-credential learning can ensure that students can identify diverse career directions, seek information about the labor market and educational system, attain relevant qualifications for their vocations, and develop a plan for their future.

Micro-credential programs are short and focused educational programs that offer specialized knowledge and skills in a particular area. These programs are becoming increasingly popular in the modern workforce to upskill or reskill quickly and efficiently. However, lack of empirical evidence is the ultimate gap in determining the importance of micro-credential learning; as the limited literature is unable to determine the importance of MCL on students' perceived employability. Thus, the study identifies the impact of micro-credential learning on students' perceived employability.

The real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global economic policy uncertainty and regional real estate markets to understand how regional real estate markets and uncertainty in global economic policy are related throughout time.

The current study includes the monthly data from April 2007 to August 2022 of major regions (i.e. Asia Pacific, Europe, Africa, North America and Latin America). Moreover, the authors use the time-varying parameter vector auto-regression (TVP-VAR) approach for the analysis.

The finding revealed a significant level of connectedness among global economic policy uncertainty and selected regional real estate markets. The result highlights more than 80% connectivity between the two variables, which makes the current study valuable. Furthermore, results determine Africa and North America are the shock transmitters; thus, they are considered safe-haven for investors to invest in these markets.

The main novelty is that this research highlights the time-varying connectedness between global economic policy uncertainty and five regional real estate markets (Africa, Asian Pacific, Europe, Latin America and North America) using TVP-VAR. Furthermore, the authors used the standard and poor daily real estate investment trust (REIT) indices for the selected REIT markets. Finally, this research suggests practical implications for real estate investors, property developers, stakeholders, policymakers and managers to revise their current policies to maintain the real estate market stability during economic and political uncertainty or in other uncertain situations.

Kriging model has been widely adopted to reduce the high computational costs of simulations in Reliability-based design optimization (RBDO). To construct the Kriging model accurately and efficiently in the region of significance, a local sampling method with variable radius (LSVR) is proposed. The paper aims to discuss these issues.

In LSVR, the sequential sampling points are mainly selected within the local region around the current design point. The size of the local region is adaptively defined according to the target reliability and the nonlinearity of the probabilistic constraint. Every probabilistic constraint has its own local region instead of all constraints sharing one local region. In the local sampling region, the points located on the constraint boundary and the points with high uncertainty are considered simultaneously.

The computational capability of the proposed method is demonstrated using two mathematical problems, a reducer design and a box girder design of a super heavy machine tool. The comparison results show that the proposed method is very efficient and accurate.

The main contribution of this paper lies in: a new local sampling region computational criterion is proposed for Kriging. The originality of this paper is using expected feasible function (EFF) criterion and the shortest distance to the existing sample points instead of the other types of sequential sampling criterion to deal with the low efficiency problem.