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This study aims to establish a multi-physics-coupled model for an electrostatic particulate matter (PM) sensor. The focus lies on investigating the deposition patterns of particles within the sensor and the variation in the regeneration temperature field.

Computational simulations were initially conducted to analyse the distribution of particles under different temperature and airflow conditions. The study investigates how particles deposit within the sensor and explores methods to expedite the combustion of deposited particles for subsequent measurements.

The results indicate that a significant portion of the particles, approximately 61.8% of the total deposited particles, accumulates on the inside of the protective cover. To facilitate rapid combustion of these deposited particles, a ceramic heater was embedded within the metal shielding layer and tightly integrated with the high-voltage electrode. Silicon nitride ceramic, selected for its high strength, elevated temperature stability and excellent thermal conductivity, enables a relatively fast heating rate, ensuring a uniform temperature field distribution. Applying 27 W power to the silicon nitride heater rapidly raises the gas flow region's temperature within the sensor head to achieve a high-temperature regeneration state. Computational results demonstrate that within 200 s of heater operation, the sensor's internal temperature can exceed 600 °C, effectively ensuring thorough combustion of the deposited particles.

This study presents a novel approach to address the challenges associated with particle deposition in electrostatic PM sensors. By integrating a ceramic heater with specific material properties, the study proposes an effective method to expedite particle combustion for enhanced sensor performance.

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in 2022–2023. Purposive sampling was used to select the participants; a total of 15 AI PhD students, who were experts in this field, were selected and interviews were conducted.

The authors considered the opportunities that AI creates for higher education in eight secondary subthemes (for faculty members, for students, in the teaching and learning process, for assessment, the development of educational structures, the development of research structures, the development of management structures and the development of academic culture). Correspondingly, The authors identified and categorized the challenges that AI creates for higher education.

Concerning the intended research, several limitations are significant. First, the statistical population was limited, and only people with characteristics such as being PhD students, studying at Tehran University and being experts in AI could be considered the statistical population. Second, caution should be exercised when generalizing the results due to the limited statistical population (PhD students from Tehran University). Third, the problem of accessing some students due to their participation in research grants, academic immigration, etc.

The innovation of the current research is that the authors identified the opportunities and challenges that AI creates for higher education at different levels. The findings of this study also contribute to the enrichment of existing knowledge in the field regarding the effects of AI on the future of higher education, as researchers need more understanding of AI developments in the future of higher education.

This study aims to explore employee green behavior in higher education institution (HEI) laboratories in the Kingdom of Bahrain.

A qualitative approach was used to explore the green behavior experiences of individuals working in HEI laboratories. In-depth interviews were conducted with nine participants selected via purposive sampling. Thematic analysis was performed on the collected data using ATLAS.ti 9 software.

The analysis of the collected data identified five themes related to the green behavior in HEI laboratories. These themes, ranked in descending order of frequency, are conserving, avoiding harm, transforming, influencing others and taking initiative. The conserving theme accounted for one-third of the subcodes, as did the avoiding harm theme. The final one-third of subcodes was distributed among the remaining three themes.

This study conducted virtual interviews and coincidentally interviewed only female participants. The findings contribute to the existing literature on the themes of green behavior among laboratory staff in HEIs and provide valuable insights for university managers and sustainability coordinators in shaping policies to promote environmentally friendly practices and address negative practices.

Despite existing studies on environmental practices in various workplace settings, the exploration of green behavior in HEI laboratories in the Kingdom of Bahrain from the employee perspective remains limited. This study presents a significant opportunity for researchers to explore sustainability in HEI laboratories and for policymakers to develop corresponding strategies.

Profitability is crucial for a company’s sustainability. This study aims to examine the influence of profitability and specific variables on the value of real estate companies in Indonesia.

The study uses a sample of 42 real estate companies listed on the Indonesia Stock Exchange from 2017 to 2023. A static panel regression approach was adopted, with the best model being the fixed effect model, verified through a robustness test.

The results indicate that the fixed effect model is the most effective in explaining firm value. Profitability, proxied by return on assets (ROAs), does not significantly impact firm value. This finding is confirmed by robustness tests using another profitability measure, return on equity (ROE). Additionally, company size negatively and significantly impacts firm value, while activity ratio and leverage have a positive and significant effect. Liquidity and company growth do not significantly affect firm value.

The research is limited to Indonesian real estate firms, cautioning against broad generalization to other countries or industries. The study could not demonstrate the influence of profitability on the value of real estate companies. Instead, firm value is influenced by company size, activity ratio and leverage.

Real estate firms should increase their activity, optimize funding and consider company size to enhance firm value.

This study contributes to the Indonesian real estate sector by revealing that profitability does not enhance firm value. Indonesian real estate companies generally have low profitability and firm value.

This study explores how controlling leadership behaviors, such as authoritarian leadership and abusive supervision, affect police officers’ proactive behavior. Specifically, it examines how perceived powerlessness mediates the relationship between these leadership styles and officers’ proactive behavior.

We employed structural equation modeling with partial least squares analysis to test our hypotheses, utilizing a sample of police officers employed within a regional police institution in Indonesia.

The findings of this study indicate that both authoritarian leadership and abusive supervision have the potential to diminish or impede the proactive behavior of police officers by shaping their perception of powerlessness.

This study contributes to the broader understanding of how leader-controlling behaviors, such as authoritarian leadership and abusive supervision, impact the proactive behavior of police officers within the specific context of Indonesia.

The potential for massive economic growth exists in Samarinda City due to the intensification of activities in built-up areas. This suggests the potential for increased urban disease in the relocation of Indonesia’s new capital city to a location adjacent to Samarinda. One of the most striking impacts is the urban heat island (UHI). The increase in this phenomenon can be addressed effectively and efficiently through the provision and arrangement of appropriate vegetation-based actions. Therefore, this study aims to identify priority areas of green open space (GOS) based on UHI levels. In addition, this study also aims to present alternative mitigation measures to reduce the risk of disasters due to UHI.

A mixed-method approach was used in this research, involving an initial land surface temperature analysis to identify the UHI class. This analysis was complemented by quantitative spatial analyses, such as scoring, overlay and intersect methods, to determine the priority level class and the typology of GOS priority. A qualitative analysis was also conducted through data triangulation or comparison methods, such as examining existing land use, GOS priority maps and spatial plan policies.

The findings show that the total UHI area in Samarinda City was 6,936.4 ha in 2019 and is divided into three classifications. In Class 1, the UHI area is very dominant, reaching 87% of the total area. Meanwhile, the main results identified two priority classes of GOS in Samarinda, namely, the medium and high categories with an area of 960.43 ha and 113.57 ha, respectively. The results also showed that there were 17 typologies associated with five alternative mitigation measures: green industry, greening parking lots, improving urban green infrastructure and buildings, urban greening and mining restoration.

Specific to assessing UHI, image data were available only in medium spatial resolution, leading to a consequence of detailed accuracy. In addition, since the determination of mitigation considered local policies, the method should be used in other locations requiring adjustments to existing regulations, specifically those related to spatial planning.

This study makes a significant contribution to the understanding of the UHI phenomenon in Indonesia, especially in the urban areas of Kalimantan Island. In addition, the study presents new insights into alternative mitigation actions to reduce the risk of UHI. Innovatively, this study introduces a typology of regions associated with appropriate alternative mitigation actions, making it an important achievement for the first time in the context of this study.

The purpose of this study is to measure financial inclusion (FI) and to examine the role of digital financial literacy (DFL) and its components, and various socio-demographics in relation to FI. In addition, the mediating effect of digital financial attitudes (DFA) on the relationship between digital financial knowledge (DFK) and digital financial behaviour (DFB), as well mediating effect of DFA and DFB on the relationship between DFK and FI, is being explored.

Using a cross-sectional research design, we utilize a dataset from the survey of adults’ financial literacy in Bosnia and Herzegovina, collected from the representative sample of 1,096 adults in 2022. The main methodology relies on logistic and ordinal logistic regression analyses and PROCESS for mediation analyses.

The findings suggest that the effect of DFK on DFB is partially mediated by DFA. In addition, the effect of DFK on FI is fully mediated through three pathways: DFA, DFB, and DFA and DFB in serial mediation. Age, education, employment status and residence are significantly related to FI. Internet access is significant only for FI scores but not for adults’ banking status. Although women are almost twice as unbanked as men, we find no gender-based differences in financial product holdings, FI or adults’ banking status.

There is a need to enhance DFK and DFA to enable adults to use financial products. Financial institutions could use our results in designing and promoting their services.

Policy implications are seen in the need for developing national strategies for financial education, with an emphasis on strengthening DFL, especially DFK and DFA, which will enhance the formal FI of adults. Also, governments should work on expanding Internet access.

The results make a contribution to the theory of planned behaviour. They contribute to the limited empirical evidence of the mediating role of DFA in relationship to DFB, as well as the mediating role of DFA and DFB in relationship to FI.

This study aims to investigate the direct relationship between audit committee effectiveness and sustainability performance and the mediating role of risk management in the relationship between audit committee effectiveness and firm sustainability performance.

The Hayes Process regression mediation model was used in this study. The data included 2,590 firm-year observations from 518 publicly non-banking and finance companies on the Indonesia Stock Exchange from 2017 to 2021.

This study proves the important role of risk management in mediating the effect of audit committee effectiveness on firm sustainability performance. Audit committee effectiveness was found to positively and significantly affect risk management. However, the effect of audit committee effectiveness on firm sustainability performance was statistically insignificant. The robustness checks and additional tests support all the main regression results.

Sample firms from Indonesia were used as representatives of developing countries. Further research may use more sample firms from multiple countries or provide a comparative study between firms in different countries.

The authority must enhance the audit committee’s role in risk management quality due to the indirect effect between the audit committee and sustainability disclosure. It should also expand the audit committee’s role to include sustainability disclosure.

This study could increase community awareness of firm sustainability. Where a company is required to provide more eco-products, stakeholders are, therefore, expected to have more equal concerns.

To the best of the authors’ knowledge, this study is the first to examine risk management as a mediator of the effect of audit committee effectiveness on firm sustainability performance.

The purpose of this paper is to provide a comprehensive literature review on the application of information technology (IT) in Halal tourism. Halal tourism is a segment of the tourism business catering to Muslims in accordance with Islamic law, which has significant potential for economic growth and is an important export market for the global tourism industry.

Following the guidelines of Kitchenham, this study developed four research questions to achieve its objective. A systematic literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology, collecting and assessing 163 English-language publications published between 2016 and 2022, resulting in 18 relevant documents.

The review identified nine key research topics related to IT in Halal tourism, which are organized into three major themes: technology-enhanced Halal tourism, digital marketing and communications in Halal tourism and quality and satisfaction in Halal tourism.

This paper fills a gap in the existing literature by synthesizing the current research on the use of IT in Halal tourism. It also proposes potential areas for future research, such as developing artificial intelligence-powered applications for Halal tourism through the creation of a domain-specific knowledge graph.