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Higher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine. However, it remains a daunting task to predict the nonlinear and transient in-cylinder flow motion because they are highly complex which change both in space and time. Recently, machine learning methods have demonstrated great promises to infer relatively simple temporal flow field development. This paper aims to feature a physics-guided machine learning approach to realize high accuracy and generalization prediction for complex swirl-induced flow field motions.

To achieve high-fidelity time-series prediction of unsteady engine flow fields, this work features an automated machine learning framework with the following objectives: (1) The spatiotemporal physical constraint of the flow field structure is transferred to machine learning structure. (2) The ML inputs and targets are efficiently designed that ensure high model convergence with limited sets of experiments. (3) The prediction results are optimized by ensemble learning mechanism within the automated machine learning framework.

The proposed data-driven framework is proven effective in different time periods and different extent of unsteadiness of the flow dynamics, and the predicted flow fields are highly similar to the target field under various complex flow patterns. Among the described framework designs, the utilization of spatial flow field structure is the featured improvement to the time-series flow field prediction process.

The proposed flow field prediction framework could be generalized to different crank angle periods, cycles and swirl ratio conditions, which could greatly promote real-time flow control and reduce experiments on in-cylinder flow field measurement and diagnostics.

The police often respond to persons who are not in direct violation of the law, but are rather undergoing behavioral crises due to mental illness or substance abuse disorders. The purpose of this study is to examine how police behavior influences civilian bystanders' emotional responses and perceptions of procedural justice (PPJ) when officers interact with these populations, which traditionally have been stigmatized in American culture.

Using a factorial vignette approach, the authors investigate whether perceived public stigma moderates the relationship between police behaviors (i.e. CIT tactics, use of force) and PPJ. The authors also investigate whether emotional reactions mediate the relationship between police behaviors and PPJ.

Regardless of suspect population (mental illness, substance use), use of force decreased participants' PPJ, and use of CIT tactics increased PPJ. These effects were consistently mediated by anger, but not by fear. Interactive effects of police behavior and perceived public stigma on PPJ were mixed.

Fear and anger may operate differently as antecedents to PPJ. Officers should note using force on persons in behavioral crisis, even if legally justifiable, seems to decrease PPJ. They should weigh this cost pragmatically, alongside other circumstances, when making discretionary decisions about physically engaging with a person in crisis.

This study explores the differences and similarities of work value profiles in samples of business students from four countries with markedly different cultures and labor markets.

We used multiple-group latent profile analysis (LPA) to explore the differences and similarities in work value profiles across cultures (n = 317 from Switzerland, n = 313 from Spain, n = 326 from the United States and n = 327 from China).

The latent profiles mostly show similarities across countries: the largest profiles are a want it all and a humble profile with overall high and intermediate levels in all work values. An overall low work value levels profile and one stressing high security and pay emerged in all countries except Switzerland. In the Swiss sample, two unique profiles emerged: the no status and freelancers profiles.

This study has implications for employee attraction, relations and career counseling with culturally diverse populations.

Studies on work values across cultures most often make direct comparisons between samples, which can lead to excessive emphasis on sometimes small differences. By first studying within-culture differences before comparing the results across cultures, we find that there may be more similarities than differences in work values across cultures and that cross-cultural differences may have often been overstated.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.

This paper examines gender diversity in the Australian valuation industry from the perspective of valuers in senior management and leadership roles and discusses gender diversity policies and practices in their organisations. Then, it explores the initiatives that can be implemented to improve gender diversity in the Australian valuation industry.

A focus group discussion was conducted with valuers in senior management and leadership roles from selected large valuation firms and government valuation agencies in Melbourne, Australia. Data collected through the focus group discussion was combined with secondary data sourced from journals, online articles and archival materials.

The findings reveal that whilst gender diversity in the Australian valuation industry has improved over the years, females remain underrepresented. Nonetheless, whilst some valuation companies have recognised the need to address the underrepresentation of women and introduced specific gender-focussed human resource policies and practices, these initiatives are not streamlined and implemented across the industry.

The study highlights the need for closer collaboration between key stakeholders such as universities, professional associations, valuation companies and government agencies in devising strategies to attract female talents into the valuation industry.

The paper is the first empirical study to assess gender diversity in the Australian valuation industry from the perspective of valuers in management and leadership roles. The proposed policies can inform future initiatives to improve gender diversity in the valuation industry.

The purpose of this study is to investigate the relationship between digital transformational leadership (DTL) and innovation capability (IIC) in multinational (MNC) firms’ settings. The current study emphasises the mediating-moderating impact of symmetrical internal communication (SIC) and trust in leadership (TIL) in further shaping this relationship.

The researchers adopted three-wave data consisting of responses from 323 cross-border team members working in MNC firms. A moderated-mediation model was tested using Hynes’ Process Macro and IBM Amos.

The empirical findings underscore a positive relationship between DTL and IIC and the mediation by SIC. Furthermore, the researchers also identified a moderated mediation relationship of TIL.

To the best of the authors’ knowledge, this is the first study to investigate the moderated mediation relationship among DTL, SIC, IIC and TIL using the complexity leadership theory perspective.

This study draws on neoclassical and behavioural economics theories to provide an empirical insight into the effect of knowledge, costs, and social norms on damp-proofing residential buildings in Ghana.

This study used the quantitative approach involving survey data. A sample size of 242 participants was involved in the study. Applying principal component analysis on the responses from the participants, an index for damp-proofing, cost, knowledge, and social norms was derived. After generating the indexes, the ordinary least squares (OLS) regression was applied to estimate the impact of knowledge, costs, and social norms on damp-proofing.

The results from the OLS regression revealed that knowledge has a significant positive effect on damp-proofing while costs and social norms have significant negative effect on damp-proofing in Ghana. This study, therefore, concludes that although neoclassical economic factors such as knowledge and cost affect behaviour (damp-proofing), behavioural factors such as social norms also matter.

The outcome of this study calls for policymakers to consider putting in place measures that increase knowledge and promote the use of damp-proofing techniques during the construction of buildings. In addition, the study calls for scholars to partake in collaborative research amongst disciplines such as economics, psychology, and the construction industry in order to provide more innovative solutions, the key of which is finding innovative ways to damp proof buildings.

This study is original in its context as it draws on neoclassical and behavioural economics theories to provide an empirical insight into the effect of knowledge, costs, and social norms on damp-proofing of residential buildings in Ghana. This is an area that has received less attention in the areas of building biology and building pathology globally.