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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.

A narrative inquiry was conducted to explore the complexities of learning English and Korean as subject matter in cross-cultural contexts in contributing to teacher identity, with possible tensions of identity teachers experience as ethnic Koreans teaching at an international school in Korea that promotes non-Korean, international education in English as a “language of inclusion” and instruction. With expansions of international schools in South Korea, also growing are numbers of Korean teachers teaching at such schools as returnees, individuals with cross-cultural experience. Stories of one Korean language and literature teacher with international schooling experience were examined.

While identifying the practical benefits of acquiring English, she expresses her concern for the presumed loss of Korean as a product of the prioritized use of English on campus. Equally recognized are the diverse opportunities not commonly available at Korean public schools that the participant upholds from her own experience. She acknowledged that her opportunities for the development of English language skills to a high level of proficiency through international education is not commonly accessible to all students in the Korean public school system. She also considered possible impacts associated with prioritizing the use of English over Korean in her international education experience, including their influence on: her sense of identity as a teacher and as Korean; her cultural knowledge as Korean; and her teacher knowledge as she supports her students' learning of English as subject matter in ways that might, in turn, also impact their sense of identity as Korean.

The use of “homework”, activities outside of the classroom or session, is widely applied in a range of disciplines including teaching, therapy and training. The argument advanced by advocates is that it provides an opportunity to consolidate knowledge learnt in the classroom and develop mastery in an applied environment. However, the use of homework has not been widely discussed or researched within business coaching, which is a form of personal development. This exploratory study aims to examine whether homework, as a coaching intervention, may enhance the clients' learning experience.

Data were collected from eight early career coaches and eight coaching clients. Not all clients were related to the coaches. Each client had experienced a minimum of three coaching sessions. Interviews were recorded and analysed using thematic analysis. The study explored the use of (1) client-led, (2) coach-led and (3) collaboratively developed homework during the engagements.

The findings indicated that homework is widely used and was perceived to have mixed effects. The positioning of the homework by the coach, including the terminology used to describe the activity, and the type of work can affect the level of engagement and thus the perceived value generated.

This is the first study to explore the nature of “homework” in coaching. More work is needed to better inform the use of “homework” in coaching practice, including the type of work and how this is agreed with different types of clients, for example, should homework be coach, collaborative or client led?

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

This study aimed to know the effect of cross-sectional risk, which comprises business-specific risk and stock market volatility, as a variable for estimating macroeconomic risk in Indonesia. This study observes public companies in Indonesia and Indonesian macroeconomic data from 2004 to 2020. In this study, the author uses term spread as the dependent variable that reflects macroeconomic risk. The cross-sectional risk comprises financial friction (FF), cash flow (CF), debt–service ratio, and stock market volatility as independent variables. By using the Autoregressive Distributed Lag (ARDL) Model method, this study shows that business-specific and stock market risk can estimate macroeconomic risk, so that it becomes an early signal of economic shock, such as recession or high inflation, in the future. The model in this study also examines the cross-sectional risk relationship with other macroeconomic indicators, such as the Consumer Confidence Index (CCI), money supply (M0), and Indonesia’s trade balance (TB).

The purpose of this theoretical chapter is to rework a promising but limited theory of the foundations of reciprocity. Reciprocity is often attributed to an “internalized norm of reciprocity” – a deeply felt moral obligation to help those who have helped us in the past. Leifer's theory of local action develops a radically different and compelling foundation for reciprocity – one in which the impetus for reciprocity is a thinly veiled battle for status. We rework the theory to offer a new one that addresses its limitations. The key idea is that the impetus for reciprocity is the desire to signal that one intends to create joint value rather than to capture it from the counterparty.

Our analytical approach rests on close examination of a puzzling and underrecognized feature of social exchange: people who initiate social exchange routinely deny giving anything of value (“it was nothing”) while the receiver inflates their indebtedness to the giver (“this is too much!”). We refer to this negotiation strategy as reverse bargaining and use it as a window into the logic of social exchange.

We develop a more general theory of how people manage the threat of opportunism in social exchange that subsumes local action theory. The key insight is that people who initiate social exchange and seek reciprocity must balance two competing objectives: to ensure that the person receiving a benefit recognizes a debt she must repay; and to mitigate the receiver's suspicion that the giver's ulterior motive is to capture value from the receiver.

Our prior work has identified a trade-off that new entrants face in obtaining favorable market reception, whereby initial entrants suffer from a deficit of legitimacy whereas later entrants suffer from a deficit of authenticity. This research has also proposed that a single mechanism is responsible for this trade-off: the tendency for customers and other stakeholders to assess the entrant's claim to originality based on the visible work that it has done to legitimate the new product or organizational form. This chapter extends and deepens our understanding of such “legitimation work” by showing how it can illuminate cases that seem in the first instance to defy this trade-off. In particular, we focus on two “off-diagonal” cases: (a) when, as in the case of “patent trolls” and fraudulent innovators, early entrants are viewed as inauthentic despite having a credible claim to originality; (b) when late entrants, as in the case of Dell Computers, mechanical watches and baseball ballparks, are viewed as authentic despite obviously not being the originators. We clarify how each off-diagonal case represents an ‘exception that proves the rule’ whereby audiences attribute authenticity on the basis of legitimation work rather than on the order of entry per se. The last case also leads to an opportunity to clarify why “cultural appropriation” can sometimes project authenticity and sometimes inauthenticity, why audiences bother to make inferences about a producer's authenticity on the basis of visible legitimation work, and why legitimacy is a universal goal of early movers whereas authenticity varies in its importance.

This study aims to analyze how conventional Bedouin weaving techniques have changed through the history of Israel, offering knowledge on the craft’s cultural relevance and historical development among the Bedouin people and how their weaving and embroidery differ based on the three main geographic characteristics. It tries to comprehend the causes of the transition from organic to synthetic materials and the part played by the Lakiya Negev Bedouin Weaving women’s cooperative in maintaining this legacy.

The main goal of this study is to trace the emergence of Bedouin weaving traditions in the Negev Desert using a qualitative research methodology that combines historical analysis and ethnographic investigation. A thorough grasp of the subject’s significance is provided through the data gathering, which consists of interviews, archival research and field observations.

Through the years, Bedouin weaving techniques have significantly shifted away from using traditional organic materials in favor of synthetic replacements, according to the research. It emphasizes the crucial part played by the Lakiya Negev Bedouin Weaving women’s organization in safeguarding this traditional legacy and giving Bedouin women access to economic prospects.

The limitation of the study includes its emphasis on the Negev region and the Israeli Bedouin community, which may not accurately reflect all Bedouin weaving techniques. Greater regional settings may be explored in future studies.

The investigation emphasizes the value of investing in initiatives for cultural preservation and the empowerment of underprivileged groups through economic possibilities.

By preserving ancient weaving techniques, this research enables Bedouin women in the Negev Desert to maintain their cultural identity and socioeconomic well-being.

By emphasizing the socio-cultural dimensions and the organization’s role in preserving traditional craftsmanship in a changing socio-economic environment, this research presents a unique investigation of the evolution of Bedouin weaving techniques in Israel.

The COVID-19 pandemic created not only a public health crisis but also the largest disruption to the global economies. The purpose of the paper is to investigate the adverse impacts of the pandemic on self-employment including job loss, income reduction and cut back in work hours and how these impacts were related to the well-being the self-employed. The authors also examine how self-employers responded to adversity in different cultural settings.

The main sample was obtained the Gallup World Poll that covers more than 39,000 individuals across 55 countries over the period from October 2020 to June 2021. The ordinary least square was the main choice of methodology. The paper employs the Oaxaca-Blinder decomposition technique to quantify the gap in financial loss between self-employed and employed individuals. Finally, the moderated mediation analysis allows the authors to examine how financial loss mediates the reduction in well-being of self-employers.

The paper finds that self-employers were 29% more likely to lose their businesses than paid individuals to lose their jobs and perhaps as a result, they were 50% more likely to experience lower work hours and less income. The findings suggest that the impact of the COVID-19 pandemic varied across countries. The financial gap between self-employment and full-time employment was narrower in countries with individualism, low uncertainty avoidance and propensity for long-term future. Finally, the paper shows that although financial loss associated with the coronavirus situation mediated the relationship between self-employment and reduced wellbeing, the positive relationship between self-employment and life satisfaction (wellbeing) held amid the pandemic. Despite all the pecuniary setbacks relative to full-time employment, self-employers report higher subjective wellbeing than regular wage earners during difficult times.

The earnings gap between self-employers and employees persists (and increase) during adverse conditions may cast into doubt the efficiency of the economic system that ensures no one is left behind. In addition, contextual factors such as cultural values should also be taken into consideration in reducing the earning gap between self-employment and regular employment. It is also implied that the self-employed choose to engage in self-employment due to psychological and emotion benefits rather than material achievements.

This study has quantified the income gap between self-employment and employed individuals in the context of adverse economic conditions. This study also highlights the fact that despite all the financial setbacks, self-employers are happier than employed individuals and they engage in self-employment as an important way to pursue happiness. This highlights well-being as the critical non-pecuniary benefits of the career choice of and transition into self-employment that have been confirmed in extant entrepreneurship literature.