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Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

Over the last few decades there has been increased interest in studying the phenomenon of violence among people with intellectual disabilities (ID). Research addressing offending and victimization among this population suffers from generalised androcentrism by extrapolating findings to women, and is also homogenising, ignoring any individual and gendered differences. Existing research also demonstrates a clear focus on vulnerability and increased risk of victimization, but very little attention has been paid to women with ID as perpetrators of crime. Many factors play a role in the process of victimisation and offence, which implies the need to deconstruct the hegemonic vision of violence and examine its different manifestations and nuances. Therefore, this chapter provides a critical and historical review of the role of women with ID as victims and perpetrators of crime, by synthesising the different levels of analysis of the subject using an intersectionality approach. In conclusion, the evidence so far does not elucidate the prevalence or characteristics of these offenders. What we do know is that this group faces interacting, individual, social and environmental difficulties. They report high rates of victimisation and mental health comorbidity. Altogether they reveal an overlapping status of victim and offender.

Any teaching topic can have sensitive content, or at least be complicated because lecturers and students are likely to hold (based on their own experiences, interests, and values) strong opinions. This chapter explores the theoretical and practical issues of teaching cultural concepts. Colleagues are often left to negotiate the teaching of sensitive issues with little guidance on which to base their approach and educational practices. Therefore using the framework ‘Teaching Sensitive Topics Using Social Positioning’ developed by the authors of this chapter, and illustrative example, the chapter explores the practice of teaching cultural concepts in the curriculum to identify themes related to what can be learned and disseminated. An analysis of international social work (SW) is drawn on to think critically about education and the cultural appropriateness of the theories, practices and competencies utilised. The authors draw on their own knowledge and experiences as registered SW’s/educators/academics/researchers, and their own teaching in relation to sensitive topics at local, national and international levels.

Our experiences, whilst based on teaching in other countries, highlight a range of considerations for all educators in teaching sensitive topics. There is a need to learn from these lessons when adopting cultural concept practices to develop curricula. We recommend adopting reflexivity, flexibility, openness, empathy, and emotional intelligence, which should allow colleagues to teach culturally sensitive subjects by forging transcultural understandings and critically applying these understandings to their own culture.

Researchers have extensively investigated the relationship between employees’ well-being and their financial stress. The state of one’s finances can have an impact on them both directly and indirectly, depending on their organisation and employer. Employees’ job performance will be affected by their level of financial well-being, whether it is high or low. This study’s primary goal is to examine and objectively assess the employee of the tourism industry in India’s financial well-being (FWB). The analysis included 190 respondents from the travel and tourism sector. The instrument for this study was a questionnaire based on descriptive statistics and inferential statistics of one-way ANOVA and correlation analysis. Financial stress and financial well-being were significantly inversely correlated among the employee of tourism industries in India according to Pearson correlation analysis. The study’s findings showed that there was a significant difference between the financial well-being and demographic status of tourism industries employee. The results of this study, which relied on primary data could help the government develop policies to encourage greater and better financial well-being among participants in the tourism business.