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This study aims to examine magnetohydrodynamic mixed convective phenomena and entropy generation within a semicircular porous channel, incorporating impinging jet cooling and the effects of thermal radiation. The present study analyzes the complex flow dynamics and heat transfer characteristics of a highly diluted 0.1% (volume) concentration Cu–Al₂O₃/water hybrid nanofluid, based on findings from previous studies. The investigation is intended to support the development of effective thermal management systems across diverse industries, such as cooling of electronic devices and enhanced energy system applications.

This study incorporates a heated curved bottom wall and a cooling jet of Cu–Al₂O₃/water hybrid nanofluid impinging from the central top inlet, with two horizontal exit ports along the rectangular duct. Finite element-based simulations are conducted using COMSOL Multiphysics, using a single-phase homogeneous model justified by earlier works. This method uses experimental data of effective thermal conductivity and viscosity, emphasizing the evaluation of thermal performance in scenarios involving intricate geometries and multiphysical conditions. The study analyzes nondimensional variables such as Reynolds number (Re), modified Rayleigh number (Ra_m), Hartmann number (Ha), Darcy number (Da) and radiation parameter while maintaining a constant nanofluid volume fraction. A grid independence study and code validation were performed to ensure numerical accuracy.

The analysis indicates that elevated Re contribute to a lessening in the thermal boundary layer thickness, prompting flow separation and significantly amplifying the average Nusselt number. The mixed convective heat transfer enhancement, coupled with an overall reduction in total entropy generation, diminishes with a rising Ha. However, optimized combinations of higher values for modified Ra_m and Da yield improved heat transfer performance, particularly pronounced with increasing Ha. Radiative heat transfer exerts a detrimental impact on both heat transfer and entropy production.

While the single-phase model captures key macroscopic effects differentiating nanofluids from base fluids, it does not provide insights at the nanoparticle level. Future studies could incorporate two-phase models to capture particle-level dispersion effects. In addition, experimental validation of the findings would strengthen the study’s conclusions.

This work represents innovative perspectives on the development of efficient hydrothermal systems, accounting for the influences of thermal radiation, porous media and hybrid nanofluids within a complex geometry. The results offer critical insights for enhancing heat transfer efficiency in real-world applications, especially in sectors demanding advanced cooling solutions.

The purpose of the paper is to conduct a numerical and experimental investigation into the properties of nanofluids containing spherical nanoparticles of random sizes flowing through a porous medium. The study aims to understand how the thermophysical properties of the nanofluid are affected by factors such as nanoparticle volume fraction, permeability of the porous medium, and pore size. The paper provides insights into the behavior of nanofluids in complex environments and explores the impact of varying conditions on key properties such as thermal conductivity, density, viscosity, and specific heat. Ultimately, the research contributes to the broader understanding of nanofluid dynamics and has potential implications for engineering and industrial applications in porous media.

This paper investigates nanofluids with spherical nanoparticles in a porous medium, exploring thermal conductivity, density, specific heat, and dynamic viscosity. Studying three compositions, the analysis employs the classical Maxwell model and Koo and Kleinstreuer’s approach for thermal conductivity, considering particle shape and temperature effects. Density and specific heat are defined based on mass and volume ratios. Dynamic viscosity models, including Brinkman’s and Gherasim et al.'s, are discussed. Numerical simulations, implemented in Python using the Langevin model, yield results processed in Origin Pro. This research enhances understanding of nanofluid behavior, contributing valuable insights to porous media applications.

This study involves a numerical examination of nanofluid properties, featuring spherical nanoparticles of varying sizes suspended in a base fluid with known density, flowing through a porous medium. Experimental findings reveal a notable increase in thermal conductivity, density, and viscosity as the volume fraction of particles rises. Conversely, specific heat experiences a decrease with higher particle volume concentration.xD; xA; The influence of permeability and pore size on particle volume fraction variation is a key focus. Interestingly, while the permeability of the medium has a significant effect, it is observed that it increases with permeability. This underscores the role of the medium’s nature in altering the thermophysical properties of nanofluids.

This paper presents a novel numerical study on nanofluids with randomly sized spherical nanoparticles flowing in a porous medium. It explores the impact of porous medium properties on nanofluid thermophysical characteristics, emphasizing the significance of permeability and pore size. The inclusion of random nanoparticle sizes adds practical relevance. Contrasting trends are observed, where thermal conductivity, density, and viscosity increase with particle volume fraction, while specific heat decreases. These findings offer valuable insights for engineering applications, providing a deeper understanding of nanofluid behavior in porous environments and guiding the design of efficient systems in various industrial contexts.

The purpose of this study is to compare the thermal performance of two flow configurations in corrugated plate heat exchanger (CPHE): vertical flow configuration (CPHE_vert.) and diagonal flow configuration (CPHE_diag.). The study aims to determine the differences between these configurations and evaluate their respective thermal performance based on metrics such as heat transfer rates, pressure drop values and flow distribution.

The study compares the thermal performance of two flow arrangements of CPHE using identical geometrical dimensions and test conditions. Computational fluid dynamics (CFD) is employed, and a validated numerical model is used for the investigation. The comparison is based on analyzing the rate of heat transfer and pressure drop data between the two flow arrangements.

The findings indicate that the diagonal flow configuration in CPHEs offers improved flow distribution, enhanced heat transfer performance and lower pressure drop compared to the vertical flow configuration. However, the differences in general in the thermal performance of CPHE_vert. and CPHE_diag. are found to be minimal.

To the best of the author’s knowledge, this study represents the first attempt to investigate the impact of vertical and diagonal flow configurations on the thermal performance of the CPHE.

Job insecurity is one of the most hazardous work stressors in the twenty-first century, placing employees between employment and unemployment may threaten employees’ health in the workplaces. Using a systematic review, the first aim of this study is to list the mediators and moderators of the link between job insecurity and health-related outcomes, and second, to explain and discuss the mechanisms that could explain the mediating and moderating effects.

We searched four databases (Science Direct, PubMed, Springer Link and Google Scholar) from 2008 to 2018 to detect these mediators and moderators. Also, as the study was conducted during COVID-19 pandemic, we particularly searched and reported the same associations over this period (2019–2022).

The results of the review suggest that job insecurity negatively influences a wide range of both health- and safety-related outcomes in the workplace. The results also showed that the most studied mediator and moderator of the job insecurity-health link over the past 10 years has been workload and employability. During COVID-19, the number of studies on mediators were more than moderators and coping strategies appeared to gain more research attention. Additionally, this review suggests that, to explain the mediation and moderation effects, a combination of cognitive appraisal theory and the conservation of resources theory can be used.

Although this review suggests that job insecurity detrimentally influences employee health, the severity of this impact on health-related outcomes may vary by the effects of various moderators.

This article is timely due to the current high attrition of officers (National Police Chiefs Council, 2023) and will explore the literature surrounding retention and attrition of officers, the impact of this on trust and confidence, and the need to understand the reasons why officers join the service coupled with their expectations of the police as a long-term career (>10 years).

This research will describe a study using a survey that examined views of 120 new recruits from 3 UK police forces on why they joined the service.

It notes that many still see the police service as a long-term career and indicate little intention of leaving, raising further questions surrounding the reasons for the current high attrition rates. It concludes with where police forces could focus to improve retention, suggesting some reasons for the attrition such as low job satisfaction, poor welfare and organisation culture, and some practical suggestions as to where police forces could focus to improve retention.

Albeit this research was sent to a small sample (n = 127) and did not address shift work issues or welfare support, it will serve as a foundational pilot. The research initial findings can inform future studies with more detailed analyses and targeted strategies to enhance officer retention and public trust in the police force.

The research aims to provide insights into how recruitment motivations and job satisfaction impact long-term retention.

This research highlights the significance of examining the reasons for new recruits joining the service, and of implementing retention strategies prioritising stability, officer support, and community engagement to cultivate a trusting relationship between the police and the public.

This study was designed to examine if current new police officers still view the police as a long-term career choice and to identify if their reasons for joining the service have changed with the current political climate of policing in the UK.

This study evaluates the performance of green finance and investment scenarios in 15 carbon emitting countries, among which 7 are developed countries and 8 are developing countries. The principal component analysis is applied to form the global green financing (GF) and investment index, a composite indicator for assessing the multidimensional characteristics of GF and investment. The global green finance and investment index is developed to map the country’s overall GF and investing scenario. The indicator is developed on the basis of 30 variables that represent 11 quantitative factors. These factors are aggregated into four parameters: transparency, efficiency, efficacy and resilience. Transparency includes political stability and the development of the countries’ capital markets to adapt to the green transition. Efficiency consists of the performance of existing resources and regulatory conditions of the countries. Efficacy refers to the factors related to international engagement and the growth of specific financial instruments. Lastly, resilience includes factors that promote the adaptability of the countries towards a green economy and green financial system. It contains the regulatory structure of the country’s growth of macroeconomic variables. These variables represent social, economic, environmental and governance factors that influence the countries’ GF and investment scenario. The countries are ranked on the basis of the composite indicator score. The USA scored the highest rank, and India scored the least. In terms of developed countries, the USA has achieved the highest value, followed by Germany and in developing countries, China has scored the highest performance, followed by Mexico.

This study is conducted with an aim to develop and validate self-talk scale for service sector employees designed to measure dimensions that are relevant for their conduct in job.

A three-phase study, which is conducted firstly, with a sample of 250 and then with another sample of 671 employees of service sector. Both factor exploration and confirmation are applied for testing the psychometric properties.

A well-developed and validated instrument comprising of 17 statements with four dimensions of self-talk, which are self-compassionate, rational, task oriented and self-regulation in social settings relevant to regulate ones job behaviour.

The instrument so developed becomes the first of its kind to be validated on organisational employees. The instrument provides an important means to estimate the cognitive process of self-talk, especially for employees working in fields that requires them to deal with people. Moreover, enabling individuals to understand the subtle nuances that take place in the mind while regulating ones behaviour. Thus, proving to be a promising instrument, as this can serve as a base for identifying the need for industrial training programmes or interventions.

This is an acceptable fact that firms put efforts to maximize shareholders wealth but there is growing demand that firms are also accountable to various stakeholders associated directly or indirectly with the firms' business activities. Investors now evaluate firm's performance not only from financial perspective but also consider environment, social, and governance (ESG) factors when taking investment decision. ESG is not visible in firm's annual financial reports but investors do not deny its significance when valuing firms. There are increasing interests in ESG by communities, professionals, and government bodies, and all are interested to keep it as part of firms' regular activity and have to relate it with firm performance and efficiency that affects firm value. Still, there are difficulties in integration of ESG factors into investment decision-making, but efforts are being put to overcome all the issues. Firms which consider ESG are in a good position to achieve their long-term financial goals as they are likely to attract capital, lower borrowing costs, mitigate risks, and maximize shareholders value.

The authors examine the determinants of ESG disclosure and differentiate between voluntary and mandatory disclosure regimes in Hong Kong.

The authors analyse both Bloomberg ESG scores and a disclosure index score, manually constructed according to the 2019 Hong Kong Exchange ESG Guide using regression tests.

The results indicate that the level of concentrated ownership is negatively associated with the quantity of ESG disclosure only in the voluntary disclosure period, suggesting that agency problems are alleviated when ESG reporting is mandatory. The findings also show that larger firms significantly disclose higher levels of ESG information in both voluntary and mandatory disclosure periods. Furthermore, the extent of ESG disclosure significantly increases when firms' sustainability reports are audited by Big 4 accounting firms only in the voluntary disclosure period. Finally, the control variables are significantly related to the level of ESG disclosure showing that ESG disclosure increased over time and is significantly different among industries.

The authors make contributions to the literature on non-financial disclosure in relation to ESG reporting by examining the relationship between firm characteristics and ESG disclosure in the Hong Kong context under both voluntary and mandatory disclosure regimes. This study also provides important implications for other stock markets and relevant stakeholders including preparers, users and the sustainability profession.

This chapter focuses on the integration of virtual reality (VR) into human resource management (HRM), with a special emphasis on theoretical underpinnings that support its adoption and utilisation. The speed at which technology is improving has placed VR as potentially game-changing for the field of HRM. This chapter reviews a number of theoretical models, including the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Diffusion of Innovations Theory and Social Cognitive Theory, in an attempt to make the framework as exhaustive as possible in the quest to unravel the ingredients that influence the acceptance of VR in HRM. This chapter discusses the practical implications of VR on the enhancement of organisational efficiency and employee well-being, based on a literature review of empirical studies that shed light on the challenges for VR applications due to technical limitations, ethical concerns and people's resistance to change. It concludes by indicating the literature gaps and proposing some future lines of research for the use of VR in HRM.