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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.

Intumescent coatings are nowadays a dominant passive system used to protect structural materials in case of fire. Due to their reactive swelling behaviour, intumescent coatings are particularly complex materials to be modelled and predicted, which can be extremely useful especially for performance-based fire safety designs. In addition, many parameters influence their performance, and this challenges the definition and quantification of their material properties. Several approaches and models of various complexities are proposed in the literature, and they are reviewed and analysed in a critical literature review.

Analytical, finite-difference and finite-element methods for modelling intumescent coatings are compared, followed by the definition and quantification of the main physical, thermal, and optical properties of intumescent coatings: swelled thickness, thermal conductivity and resistance, density, specific heat capacity, and emissivity/absorptivity.

The study highlights the scarce consideration of key influencing factors on the material properties, and the tendency to simplify the problem into effective thermo-physical properties, such as effective thermal conductivity. As a conclusion, the literature review underlines the lack of homogenisation of modelling approaches and material properties, as well as the need for a universal modelling method that can generally simulate the performance of intumescent coatings, combine the large amount of published experimental data, and reliably produce fire-safe performance-based designs.

Due to their limited applicability, high complexity and little comparability, the presented literature review does not focus on analysing and comparing different multi-component models, constituted of many model-specific input parameters. On the contrary, the presented literature review compares various approaches, models and thermo-physical properties which primarily focusses on solving the heat transfer problem through swelling intumescent systems.

The presented literature review analyses and discusses the various modelling approaches to describe and predict the behaviour of swelling intumescent coatings as fire protection for structural materials. Due to the vast variety of available commercial products and potential testing conditions, these data are rarely compared and combined to achieve an overall understanding on the response of intumescent coatings as fire protection measure. The study highlights the lack of information and homogenisation of various modelling approaches, and it underlines the research needs about several aspects related to the intumescent coating behaviour modelling, also providing some useful suggestions for future studies.

Building on the introduction to positive psychology and positive education in Chapter 1, the aim of Chapter 3 is to focus on wellbeing and positive education in secondary schools. This includes an overview of approaches to intervening in mental health (‘traditional’ and those which draw on the principles of positive psychology) that have been used in schools, and the factors that can influence their outcomes. When and how to apply interventions across three levels: the system, the community, and the individual, are also explored, alongside four different approaches: whole school, whole class, small group, and one-to-one. The chapter draws on up-to-date research and practical experience in secondary school settings, and includes a case study of Positive Psychology in Practice, based on the delivery (by the author) of a multi-component PPI (mPPI) – The Hummingbird Project, which has now been delivered to approximately 4,000 students in 24 secondary schools across the North West of England. The effectiveness of the mPPI, key lessons learned and insights gained are shared, including how to overcome the challenges of working in a culture not conducive to positive education.

Firefighter Personal Protective Equipment (PPE) is the only barrier between the firefighter and hazardous environment. Gloves are a crucial component of the multi-component PPE. Over time the gloves have reduced the intensity of hand injuries, yet further improvement in terms of material selection and glove design is required to strike the balance between protection and comfort. Focusing on the material aspect, the purpose of this study is to present literature analysis on material selection and testing for firefighter gloves.

The study conducted a literature analysis on material selection and characterization of firefighter PPE. The review summarizes and evaluates past work addressing the characterization of firefighter gloves in accordance with NFPA 1971 requirements and points out found research gaps to aid with foundation of future research.

The study summarizes several research works to inform readers about the material selection and characterization of firefighter gloves. Based on the analyzed literature, the study resulted in material specification sheets for firefighter gloves. The developed material specification sheets provide information in terms of crucial material properties to be incorporated for accurate functioning of firefighter gloves, testing methods to validate those material properties and materials from analyzed literature exhibiting desired properties.

With large research addressing firefighter PPE, only limited studies focus specifically on gloves. Thus, this study provides a literature analysis covering material selection and testing for gloves. A consolidated firefighter gloves material specification document, which does not appear to be available in the literature, will provide a foundation for the development and characterization of firefighter gloves to better serve the functions along with ensuring user comfort.

With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive maintenance and maintenance reporting to increase maintenance operation efficiency, operational data may also be used to improve maintenance management. Research on the value of data-driven decision support to foster increased internal integration of maintenance with related functions is less explored. This paper explores the potential for further development of solutions for cross-functional responsibilities that maintenance shares with production and logistics through data-driven approaches.

Fifteen maintenance experts were interviewed in semi-structured interviews. The interview questions were derived based on topics identified through a structured literature analysis of 126 papers.

The main findings show that data-driven decision-making can support maintenance, asset, production and material planning to coordinate and collaborate on cross-functional responsibilities. While solutions for maintenance planning and scheduling have been explored for various operational conditions, collaborative solutions for maintenance, production and logistics offer the potential for further development. Enablers for data-driven collaboration are the internal synchronization and central definition of goals, harmonization of information systems and information visualization for decision-making.

This paper outlines future research directions for data-driven decision-making in maintenance management as well as the practical requirements for implementation.

This paper aims to introduce the Platt 3p model (P3p), an innovative framework aiming to address the mental health needs of young people. The model comprises three dimensions: past, present and potential, on which any mental health intervention should act to improve mental health outcomes.

A conceptual analysis is made that uses an interdisciplinary approach to draw on existing research and theories from psychology, developmental science and educational interventions to create the P3p model.

The P3p model presents a multi-layered approach that considers subjective, individual and group-level variables that should be considered in comprehensive mental health interventions. It accommodates systemic barriers and individual differences, thus creating the potential for more targeted, effective interventions.

Though every effort has been made to provide a robust theoretical foundation, the model has yet to be empirically validated. Future research is taking place to apply the model in school settings to assess its practical efficacy.

The P3p model is novel in its integrative approach, fusing elements from disparate theories into a singular framework. This flexibility allows for person-centred, adaptable interventions that are tailored to individual needs.

Although the effects of both news sentiment and expectations on price in financial markets have now been extensively demonstrated, the jointness that these predictors can have in their effects on price has not been well-defined. Investigating causal ordering in their effects on price can further our understanding of both direct and indirect effects in their relationship to market price.

We use autoregressive distributed lag (ARDL) methodology to examine the relationship between agent expectations and news sentiment in predicting price in a financial market. The ARDL estimation is supplemented by Grainger causality testing.

In the ARDL models we implement, measures of expectations and news sentiment and their lags were confirmed to be significantly related to market price in separate estimates. Our results further indicate that in models of relationships between these predictors, news sentiment is a significant predictor of agent expectations, but agent expectations are not significant predictors of news sentiment. Granger-causality estimates confirmed the causal inferences from ARDL results.

Taken together, the results extend our understanding of the dynamics of expectations and sentiment as exogenous information sources that relate to price in financial markets. They suggest that the extensively cited predictor of news sentiment can have both a direct effect on market price and an indirect effect on price through agent expectations.

Even traditional financial management firms now commonly track behavioral measures of expectations and market sentiment. More complete understanding of the relationship between these predictors of market price can further their representation in predictive models.

This article extends the frequently reported bivariate relationship of expectations and sentiment to market price to examine jointness in the relationship between these variables in predicting price. Inference from ARDL estimates is supported by Grainger-causality estimates.

The purpose of this paper is the study of the electro-vortex flow (EVF) as well as heating and melting processes for mini industrial direct current electric arc furnace (DC EAF).

A mini DC EAF was designed, manufactured and installed to study the industrial processes of heating and melting a small amount of melt, being 4.6 kg of steel in the case under study. Numerical modelling of metal melting was performed using the enthalpy and porosity approach at equal values and non-equal values of the solidus and liquidus temperatures of the metal. The EVF of the liquid phase of metal was computed using the large eddy simulation model of turbulence. Melt temperature measurements were made using an infrared camera and a probe with a thermocouple sensor. The melt speed was estimated by observing the movement of particles at the top surface of melt.

The thermal flux for metal heating and melting, which is supplied through an arc spot at the top surface of metal, is estimated using the thermal balance of the furnace at melting point. The melting time was estimated using numerical modelling of heating and melting of metal. The process started at room temperature and finished once whole volume of metal was molten. The evolution of the solid/melt phase boundary as well as evolution of EVF patterns of the melt was studied.

Numerical studies of heating and melting processes in metal were performed in the case of intensive liquid phase turbulent circulation due to the Lorentz force in the melt, which results from the interaction of electrical current with a self-magnetic field.