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This paper aims to explore perceptions and provides insights, from students who volunteer in policing whilst also studying the college of policing licenced professional policing degree (PPD) in Wales. It examines issues that act as enablers and blockers to volunteering in this public service, which also provides opportunities to develop their employability towards the careers to which they aspire. The paper provides insights from students and makes recommendations of interest to multiple stakeholders locally, regionally, nationally and internationally regarding attracting and recruiting volunteers.

Focus groups were conducted with students at three separate universities in the South and West of Wales. These undergraduate students were volunteers in different police forces and agreed to take part in connection with their experiences. The results were analysed using NVivo to establish commonalities.

The paper provides empirical insights concerning the issues surrounding the way those undergoing the process for recruitment as volunteers within policing are either hindered (blocked) or assisted (enabled). It identifies specific problematic areas as well as areas which have been of assistance. Policy makers, educators and recruiters should be aware of such blockers and enablers when considering adopting volunteering as an opportunity to enhance student employability. It also has resonance for other forms of volunteering in alternate public services.

This research is limited to those volunteers who are undertaking the licenced PPD at three separate universities in Wales. Although the research adds to the broader evidence-base with regards to volunteering and its use to enhance employability.

The paper includes practical implications for multiple stakeholders including university programme educators, administrators and decision makers in policing with regards to volunteering, employability, programme structures and process management.

The research is based upon the experiences and perceptions of those individuals who are actually engaged in volunteering.

This study aims to evaluate the quality of information recorded in Behaviour Monitoring Charts (BMC) for Behaviours that Challenge (BtC) in dementia in an older adult inpatient dementia service in the North of England (Aim I) and to understand staff perceptions and experiences of completing BMC for BtC in dementia (Aim II).

Descriptive statistics and graphs were used to analyse and interpret quantitative data gathered from BMC (Aim I) and Likert-scale survey responses (Aim II). Thematic analysis (Braun and Clarke, 2006) was used to analyse and interpret qualitative data collected from responses to open-ended survey questions and, separately, focus group discussions (Aim II).

Analysis of the BMCs revealed that some of the data recorded relating to antecedents, behaviours and consequences lacked richness and used vague language (i.e. gave reassurance), which limited its clinical utility. Overall, participants and respondents found BMC to be problematic. For them, completing BMCs were not viewed as worthwhile, the processes that followed their completion were unclear, and they left staff feeling disempowered in the systemic hierarchy of an inpatient setting.

Functional analysis of BMC helps identify and inform appropriately tailored interventions for BtC in dementia. Understanding how BMCs are used and how staff perceive BMC provides a unique opportunity to improve them. Improving BMC will support better functional analysis of BtC, thus allowing for more tailored interventions to meet the needs of people with dementia.

A focus on how visual cultures in domestic spaces influence older migrants' identification with the homeland has been noted in previous research, ¹ yet migrant youth have not typically been the sole subjects of investigation in this regard. This chapter seeks to fill this gap by offering insight into the practices of young Indian women in domestic spaces and how these practices influence their sense of belonging to India. This chapter highlights the practices of young Indian women living in Brisbane, Australia, through an exploration into how the young women recreate their histories and cultural attachments in domestic spaces. The research presented in this chapter illustrates the processes of emotional attachment for young migrants and how these processes demonstrate new ways of practising diaspora, including the use of the internet to learn about their cultural histories. With the use of PhotoVoice, where photographs were retrieved from mobile phones and the internet, the participants discussed their everyday lives relating to their emotional attachments to material objects in domestic spaces and the connection to their identities. This chapter's main argument is to highlight the need for researchers to avoid the tendency to place young migrants into the same diasporic categories as their parents and to recognise the diverse ways in which young migrants actively shape their own cultural attachments.

Central theme: The present chapter discusses the integration of data science methods in devising economic policies in different countries with special reference to India.

Purpose: It explains how the policy-making process in countries can be transformed from estimate-based policies to evidence-based policies with the help of techniques such as artificial intelligence (AI), big data, and data analytics. It answers the research question of whether the data science techniques can make the economic policy process efficient or not in developing countries like India.

Research methodology: Data are collected from secondary sources such as government websites, journals, corporate reports, and research databases to conduct this descriptive analysis. Research papers from Scopus/Web of Science (WoS) database are extracted, and exclusion/inclusion criteria are applied for extracting papers relevant to this research.

Findings: The chapter found out various opportunities which India can tap by gaining new insights on critical macroeconomic issues such as unemployment, labour markets, and water crises and would be able to resolve the problems with the help of predictive modelling. The findings exhibit the possibility of building models that could explain how to integrate data science techniques into the policy-making process. It also highlights the challenges that Indian economy is facing in incorporating these techniques in its policy-making process. It states the need to design different evaluation schemes based on information and communication technology (ICT) and data science for different policies, since one methodology does not suit all.

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.

This study aims to examine the moderating role of principle-based entity (PBE) of luxury brands and its effect on perceived corporate social responsibility (CSR) motives, consumer situational scepticism and brand resonance.

Structural equation modelling using multigroup analysis was used. Data were collected through a consumer panel.

Values-driven motives lowered consumer situational scepticism (CSS) significantly more in PBE than non-PBE. However, egoistic-driven motives increased CSS significantly more in PBE than non-PBE. Stakeholder-driven motives and strategic-driven motives did not elicit CSS, contrary to prior studies in non-luxury brands. PBE status also weakens the relationship between CSS and brand resonance more than non-PBE status.

This study is the first to provide empirical insights into PBE status and its effects on perceived motives, CSS of CSR initiatives and its influence in consumer and management outcomes in luxury brands.