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This study aims to identify structural breaks in the current account and the periods between these breaks, which the authors name stability spells, and study their characteristics and determinants.

Using data from the IMF and the World Bank, this study applies the Lee and Strazicich test to endogenously identify breaks and the Heckman selection model to simultaneously study the determinants of structural breaks and current-account changes after breaks.

This study identifies 212 significant structural breaks and 341 stability spells. These spells become shorter and more volatile the further they are from equilibrium, and half of them last 10 years or less. The results show that economic growth and foreign-exchange piling are particularly useful to prevent breaks, while lower per capita income increases exposure to break risks.

This study introduces the concept of current-account stability spells to refer to the periods between structural breaks. These spells are then studied to determine their main characteristics. The authors also apply a global perspective in their analysis, using a wide sample of 181 economies between 1980 and 2018 and considering positive and negative breaks in both level and trend.

Pahang beaches draw more than thousand visitors throughout the year. From the year 2006 to 2018, more than 30 drowning and near-drowning cases were recorded mainly from rip currents. Rip currents are defined as unexpected currents that carried beachgoers away to seaward direction more than approximately 50 m from shore. The prediction of rip current development is very important for the protection of human life. This study aims to conduct preliminary survey and field works to identify rip current hazards.

The output would be an early warning preventative mitigation to public in Pahang. Beach state model, dimensionless fall velocity, littoral environment observation and relative tidal range were recorded for five recreational beaches during two different months (March and April 2018). The morphodynamic parameters such sediment fall velocity, sediment grain size and beach slope are then analysed using software PROFILER. Classification of risks was done based on beach morphodynamic model. The morphodynamics are classified as low tide bar rip, barred and low tide terrace associated with rip current, bar dissipative, reflective, non-bar dissipative, low tide terrace and ultra-dissipative.

Result shows three out of five recreational beaches may develop high-risk rip currents. During the first month of the survey, Batu Hitam (BH) was recorded the only one recreational beach that may develop high-risk rip current followed by Teluk Cempedak (TC) and Kempadang (KEM) as middle-risk rip current beaches, while Balok (BA) and Sepat (SEP) as low-risk rip current beaches. Different during second month of the survey, BA, BH and SEP were recorded as high-risk rip current beaches while TC and KEM as low-risk rip current beaches.

The results are consistent with beach incidents (drowning and near-drowning) reported.

Current accounting practice tends to split environmental complexities into quantifiable, codified elements, producing codified simplifications of the “complex” in pursuit of environmental externalities. This has led to standardization, but has done little to motivate organizations to engage in more environmentally-aware behavior that transcends the coercive dimensions of codification. The work of Alexander von Humboldt (1769–1859) can bring new insights and perspectives to social and environmental accounting (SEA). In discussing Humboldt's philosophy of understanding the interconnectedness between people, their contexts (cultures) and their environment, the authors contribute to the emerging SEA literature on notions of interconnectedness and the web of accountabilities. The authors also explore how a Humboldtian approach may help break through the current epistemological boundaries of SEA by combining accurate measurement with imagery to make the “complex” manageable whilst embracing interconnectedness and hermeneutics.

In this conceptual paper, the authors humbly draw on Humboldt's legacy and explore the underlying philosophical assumptions of Humboldtian science. The authors then contrast these with current SEA approaches in the literature and derive new insights into their intentionality and practical use.

Re-examining Humboldt's pioneering work enables us to pinpoint what might be missing from current SEA approaches and debates. Humboldt upheld an “ethics of precision,” which included both measurement accuracy and qualitative relevance, and combined hands-on scientific fieldwork with the aesthetic ideals and interconnectedness of the age of Romanticism. Drawing on Humboldtian science, the authors propose focusing on the interconnectedness of nature and humanity, embracing the qualitative and hermeneutical and including aesthetics and emotion in environmental visualizations.

The paper elucidates why and how Humboldtian science might inform, guide and enhance the emancipatory potential of SEA in the 21st century. Specifically, the authors discuss Humboldt's approach of linking accurate measurement with imagery to convey a sense of interconnectedness.

The major economies of East Asia, namely Japan and the Four Asian Tigers, have always prioritized the WTO-led multilateral trade liberalization over other trade arrangements primarily due to their unique economic structure with a high dependency on the world’s major markets such as the US. Along the same line, even the huge blow from the Asian Financial Crisis in 1997 only managed to trigger a few initiatives to aide East Asian regional integration while being led by different centering bodies, APEC and ASEAN. These dispersed efforts naturally resulted in no realistically significant achievements in the light of ‘integration’ until the present day. Under these circumstances, East Asia now faces a second opportunity to achieve its economic independence from the extra-regional influences via regionalization: the 2009 Global Credit Crunch. This paper hereupon critically reviews the actual progress and the likely impacts of the current global recession on the East Asian region.

Improving the competitiveness of East Africa's rice industries necessitates increased and viable production of rice of the quality desired by consumers. This paper aims to understand consumer preferences for rice quality attributes in Uganda and Kenya to inform the countries' rice breeding programs and value chain development interventions.

Rice samples are obtained from retail markets in various districts/counties across the two countries. The samples are analyzed in a grain quality laboratory for the rice's physicochemical characteristics and the resulting data are used to non-parametrically estimate hedonic price functions. District/county dummies are included to account for potential heterogeneity in consumer preferences.

Ugandan consumers are willing to pay a price premium for rice with a relatively high proportion of intact grains, but the consumers discount chalkiness. Kenyan consumers discount high amylose content and impurities. There is evidence of heterogeneity in consumer preferences for rice in Mbale, Butaleja and Arua districts of Uganda and in Kericho and Busia counties of Kenya.

The study makes a novel contribution to the literature on consumer preferences for rice in East Africa by applying a hedonic pricing model to the data generated from a laboratory analysis of the physicochemical characteristics of rice samples obtained from the market. Rather than base our analysis on consumers' subjective sensory assessment of the quality characteristics of rice, standard laboratory methods are used to generate the data, which enables a more objective assessment of the relationship between market prices and the quantities of attributes present in the rice samples.

The investigation of organization's ambidextrous innovation is a challenge in the research studies of management sciences. As existent literature showed a positive relation between dynamic capability (DC) and innovation, few empirical studies are conducted to explain how DC impacts on the balanced and combined dimension of ambidexterity and still less on how social network moderates this relation. As a result, this paper aims to investigate and provide empirical evidence on DC’s influence on ambidexterity in the context of China.

By a relational model of DC, ambidextrous innovation and social network, this study has conducted multiple regression analysis on the data collected from 350 small and medium enterprises (SMEs) in mainland China.

The results show that, DC has positive influence on both the combined and balanced dimension of ambidexterity; and both the relational network and structural network play an inverted U moderating role, where the moderation of relational network is stronger than that of structural network.

This study provides empirical support on DC's influence on ambidexterity together with the moderation of social network.

The COVID-19 pandemic has led to “forced innovation” in the health education industry. High-quality training of the future rural health workforce is crucial to ensure a pipeline of rural health practitioners to meet the needs of rural communities. This paper describes the implementation of an online multidisciplinary teaching program focusing on integrated care and the needs of rural communities.

A multidisciplinary teaching program was adapted to allow students from various disciplines and universities to learn together during the COVID-19 pandemic. Contemporary issues such as the National Aged Care Advocacy Program for Residential Aged Care COVID-19 Project were explored during the program.

This case study describes how the program was adopted, how learning needs were met, practical examples (e.g. the Hand Hygiene Advocacy within a Rural School Setting Project), the challenges faced and solutions developed to address these challenges. Guidelines are proposed for remote multidisciplinary learning among health professional students, including those in medical, nursing, pharmacy, dentistry, and allied health disciplines.

The originality of this program centers around students from multiple universities and disciplines and various year levels learning together in a rural area over an extended period of time. Collaboration among universities assists educators in rural areas to achieve critical mass to teach students. In addition it provides experiences and guidance for the work integrated learning sector, rural health workforce practitioners, rural clinical schools, universities, policy makers, and educators who wish to expand rural online multidisciplinary learning.

This study aims to expand our knowledge on the processes through which work–family policies relate to work–family conflict as well as work–related attitudes among women in management positions returning to work after maternity leave.

A total of 238 women in management positions who recently have returned to work after maternity leave completed a self-reported questionnaire.

Results show that the availability of policies was either directly or indirectly positively related to work attitudes among female managers. Also, findings show that work–family conflict partially mediates the relationship between the availability of communication and psychological support and flexible time management policies with work engagement, and policy availability moderates the relationship between work–family conflict and work engagement.

Managers have a crucial role in conveying the value of work–family policies and in creating a culture supporting the management of work and family. By investigating the processes underlying the role of work–family policies in influencing work attitudes of women in managerial positions, this study sheds light on how the awareness of the available policies might be an important determinant of work-related well-being and organizational commitment.

In this viewpoint article, the authors recognize the increased focus in health systems on co-design for innovation and change. This article explores the role of leaders and mangers in developing and enhancing a culture of trust in their organizations to enable co-design, with the potential to drive innovation and change in healthcare.

Using social science analyses, the authors argue that current co-design literature has limited focus on interactions between senior leaders and managers, and healthcare staff and service users in supporting co-designed innovation and change. The authors draw on social and health science studies of trust to highlight how the value-based co-design process needs to be supported and enhanced. We outline what co-design innovation and change involve in a health system, conceptualize trust and reflect on its importance within the health system, and finally note the role of senior leaders and managers in supporting trust and responsiveness for co-designed innovation and change.

Healthcare needs leaders and managers to embrace co-design that drives innovation now and in the future through people – leading to better healthcare for society at large. As authors we argue that it is now the time to shift our focus on the role of senior managers and leaders to embed co-design into health and social care structures, through creating and nurturing a culture of trust.

Building public trust in the health system and interpersonal trust within the health system is an ongoing process that relies upon personal behavior of managers and senior leaders, organizational practices within the system, as well as political processes that underpin these practices. By implementing managerial, leadership and individual practices on all levels, senior managers and leaders provide a mechanism to increase both trust and responsiveness for co-design that supports innovation and change in the health system.

Current methods for flow field reconstruction mainly rely on data-driven algorithms which require an immense amount of experimental or field-measured data. Physics-informed neural network (PINN), which was proposed to encode physical laws into neural networks, is a less data-demanding approach for flow field reconstruction. However, when the fluid physics is complex, it is tricky to obtain accurate solutions under the PINN framework. This study aims to propose a physics-based data-driven approach for time-averaged flow field reconstruction which can overcome the hurdles of the above methods.

A multifidelity strategy leveraging PINN and a nonlinear information fusion (NIF) algorithm is proposed. Plentiful low-fidelity data are generated from the predictions of a PINN which is constructed purely using Reynold-averaged Navier–Stokes equations, while sparse high-fidelity data are obtained by field or experimental measurements. The NIF algorithm is performed to elicit a multifidelity model, which blends the nonlinear cross-correlation information between low- and high-fidelity data.

Two experimental cases are used to verify the capability and efficacy of the proposed strategy through comparison with other widely used strategies. It is revealed that the missing flow information within the whole computational domain can be favorably recovered by the proposed multifidelity strategy with use of sparse measurement/experimental data. The elicited multifidelity model inherits the underlying physics inherent in low-fidelity PINN predictions and rectifies the low-fidelity predictions over the whole computational domain. The proposed strategy is much superior to other contrastive strategies in terms of the accuracy of reconstruction.

In this study, a physics-informed data-driven strategy for time-averaged flow field reconstruction is proposed which extends the applicability of the PINN framework. In addition, embedding physical laws when training the multifidelity model leads to less data demand for model development compared to purely data-driven methods for flow field reconstruction.