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Parenting programmes are increasingly a feature of services and policies aimed at improving outcomes for children and families and tackling inequality, yet they remain underused. This study aims to assess parent engagement and retention in the parent and infant (PIN) programme – a universal, multi-component intervention designed to support parents from birth to when their children reach two years of age. The programme can be tailored to parent/community needs but also includes standardised core elements including two Incredible Years parenting programmes. Programme provider perspectives on recruiting and supporting participation were also explored.

A mixed methods study was conducted involving parents (n = 106) and programme providers involved in the PIN programme. Logistic regression analyses were used to assess the impact of participant demographic characteristics on the likelihood of programme engagement and attendance. Semi-structured interviews explored facilitators’ experiences of parent recruitment and engagement, as well as barriers and facilitators of parental attendance.

First-time mothers were more likely to initially enrol in the PIN programme than younger or lone parents. However, older age and married/cohabiting status were the strongest predictors of attending at least one-third of programme sessions. Qualitative findings highlighted the importance of relationship building and connection in supporting participant recruitment and engagement. Practical and psychological barriers to programme participation are also described.

The findings shed light on factors that influence engagement and attendance in universal, early parent support programmes. Barriers to parent engagement are multi-layered and tailored strategies to promote uptake of parenting programmes are needed.

Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications.

The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies.

The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction.

The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.

Challenges associated with ensuring the accuracy and reliability of cost estimation of highway construction bid items are of significant interest to state highway transportation agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists. This paper aims to assess the accuracy of the cost estimation methods employed in the selected studies to provide insights into how well they perform empirically. Additionally, this research seeks to identify, synthesize and assess the impact of the factors affecting highway unit prices because they affect the total cost of highway construction costs.

This paper systematically searched, selected and reviewed 105 papers from Scopus, Google Scholar, American Society of Civil Engineers (ASCE), Transportation Research Board (TRB) and Science Direct (SD) on conceptual cost estimation of highway bid items. This study used content and nonparametric statistical analyses to determine research trends, identify, categorize the factors influencing highway unit prices and assess the combined performance of conceptual cost prediction models.

Findings from the trend analysis showed that between 1983 and 2019 North America, Asia, Europe and the Middle East contributed the most to improving highway cost estimation research. Aggregating the quantitative results and weighting the findings using each study's sample size revealed that the average error between the actual and the estimated project costs of Monte-Carlo simulation models (5.49%) performed better compared to the Bayesian model (5.95%), support vector machines (6.03%), case-based reasoning (11.69%), artificial neural networks (12.62%) and regression models (13.96%). This paper identified 41 factors and was grouped into three categories, namely: (1) factors relating to project characteristics; (2) organizational factors and (3) estimate factors based on the common classification used in the selected papers. The mean ranking analysis showed that most of the selected papers used project-specific factors more when estimating highway construction bid items than the other factors.

This paper contributes to the body of knowledge by analyzing and comparing the performance of highway cost estimation models, identifying and categorizing a comprehensive list of cost drivers to stimulate future studies in improving highway construction cost estimates.

This paper aims to define a hierarchical and multi-criteria framework based on pillars of the Modernization of Higher Education to evaluate European Accounting Doctoral Programmes (EADE-Model).

The authors applied a quali-quantitative methodology based on the analytic hierarchy process and the survey approach. The authors conducted an extensive literature and regulation review to identify the dimensions affecting the quality of Doctoral Programmes, choosing accounting as the relevant and pivotal field. The authors also used the survey to select the most critical quality dimensions and derive their weight to build EADE Model. The validity of the proposed model has been tested through the application to the Italian scenario.

The findings provide a critical extension of accounting ranking studies constructing a multi-criteria, hierarchical and updated evaluation model recognizing the role of doctoral training in the knowledge-based society. The results shed new light on weak areas apt to be improved and propose potential amendments to enhance the quality standard of ADE.

Theoretical and practical implications of this paper are directed to academics, policymakers and PhD programmes administrators.

The research is original in drafting a hierarchical multi-criteria framework for evaluating ADE in the Higher Education System. This model may be extended to other fields.

There are few reports that evolutional topology optimization methods are applied to the conductor geometry design problems. This paper aims to propose an evolutional topology optimization method is applied to the conductor design problems of an on-chip inductor model.

This paper presents a topology optimization method for conductor shape designs. This method is based on the normalized Gaussian network-based evolutional on/off topology optimization method and the covariance matrix adaptation evolution strategy. As a target device, an on-chip planer inductor is used, and single- and multi-objective optimization problems are defined. These optimization problems are solved by the proposed method.

Through the single- and multi-objective optimizations of the on-chip inductor, it is shown that the conductor shapes of the inductor can be optimized based on the proposed methods.

The proposed topology optimization method is applicable to the conductor design problems in that the connectivity of the shapes is strongly required.

The number of students from culturally and linguistically diverse (CLD) backgrounds continue to increase in classrooms across the United States. These students have complex needs as they experience more barriers to success when compared to their peers. These barriers are further compounded when CLD students are also identified as having disabilities. To address the barriers and meet the needs of CLD students with disabilities, teaching professionals should move away from the traditional American educational values of individual freedom and self-reliance, equal opportunity and competition, and material wealth and hard work. Conversely, schools and teaching professionals should incorporate the modern values of social justice, diversity, equity, inclusion, accessibility, and belonging when working with students from CLD backgrounds who have disabilities. This chapter presents these values and provides recommendations for teaching professionals and schools.

This chapter shares the experiences of two graduate students as they navigated higher education during the pandemic. Engaging in graduate study during the pandemic shaped their socialisation experiences, challenged their understanding of themselves as scholars and impacted their relationships with mentors. This chapter shares personal reflections of their experiences and explores their sense of professional identity and aspirations for the future.

The contemporary focus on extracurricular activities, here the educational incubator environment, accentuates a need to understand what we offer students in terms of the curricular and extracurricular learning environments when situated in the same higher education institution (HEI). Current research points towards breaking down the invisible barriers and silo thinking. In this conceptual study, we apply the Didaktik triangle as a theoretical and conceptual framing to make comparisons of structurally based conditions for curricular and extracurricular entrepreneurship education (EE). We present a framework that helps bridge the ‘what’, ‘why’, and ‘how’ questions in the two different learning spaces and, thereby, conjoin educators and consultants in possible pedagogical discussions on how they work with the students. The suggested bridge frames a wider ‘why’ and adds a more holistic and cohesive view of the two different types of settings. Our study contributes to the literature on how to bridge the blurred lines between curricular and extracurricular activities and break down the silos. The framework can act as an inspiration for entrepreneurship educators and practitioners who wish to provide more suitable and sustainable structures and develop a holistic learning environment.

This study examines how the different attributes of authentic leadership influence trust and employee organization fit and how such influences differ by gender and the level of positions during the COVID-19 pandemic.

The study employed a survey to examine US employees' perceptions toward different attributes of authentic leadership during the COVID-19 pandemic.

The study showed that self-awareness, balanced processing and internalized moral perspective positively relate to trust in the employer, mediated through employee–organization fit. However, relational transparency has a backfiring effect, negatively related to trust through the mediation of employee–organization fit. Additionally, this study highlights the differences in gender and level of positions in reactions to authentic leadership.

This study contributes to the understanding of internal public relations in a turbulent crisis time by proposing a mediated model that explains the effects of authentic leadership on employees' trust through their fit with the organization. Additionally, it identified that gender and position level are important factors moderating such effects.