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Despite the new ‘needs driven’ criteria for public funded admission to nursing homes, there remains concern that older people are entering such care inappropriately. However, neither previous research or policy makers have sub‐divided such inappropriate entries into their constituent groups: those who are inappropriate because they are too independent and those who are inappropriate because they are too dependent. The aims of this study were to determine the extent of inappropriate nursing home admission amongst older people in nursing homes in six areas of England and Wales between 1995‐96. This was done through a retrospective case‐note review using a structured data‐collection pro forma. Although the study found no evidence of extensive inappropriate placement, extrapolation of these data suggests that 6,750 of those admitted to nursing care could have coped in a more independent environment. The inappropriately admitted group were more likely to have lived alone, be female, elderly and not to have seen a geriatrician. It is concluded that the most effective way to prevent such admissions would be to ensure the involvement of specialist geriatricians in the multidisciplinary team involved in admission decisions.

Hird Hastie Paints Ltd.,, a Scottish and independent company has been manufacturing Surface Coatings on their Glasgow site since 1890.

The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear regression (LR) hedonic model for rent prediction. Second, it shows the added value of analyzing tree-based ML models with interpretable machine learning (IML) techniques.

Data on Belgian residential rental properties were collected. Tree-based ML models, random forest regression and eXtreme gradient boosting regression were applied to derive rent prediction models to compare predictive performance with a LR model. Interpretations of the tree-based models regarding important factors in predicting rent were made using SHapley Additive exPlanations (SHAP) feature importance (FI) plots and SHAP summary plots.

Results indicate that tree-based models perform better than a LR model for Belgian residential rent prediction. The SHAP FI plots agree that asking price, cadastral income, surface livable, number of bedrooms, number of bathrooms and variables measuring the proximity to points of interest are dominant predictors. The direction of relationships between rent and its factors is determined with SHAP summary plots. In addition to linear relationships, it emerges that nonlinear relationships exist.

Rent prediction using ML is relatively less studied than house price prediction. In addition, studying prediction models using IML techniques is relatively new in real estate economics. Moreover, to the best of the authors’ knowledge, this study is the first to derive insights of driving determinants of predicted rents from SHAP FI and SHAP summary plots.

Introduction: With the proliferation and amalgamation of technology and the emergence of artificial intelligence and the internet of things, society is now facing a rapid explosion in big data. However, this explosion needs to be handled with care. Ethically managing big data is of great importance. If left unmanageable, it can create a bubble of data waste and not help society achieve human well-being, sustainable economic growth, and development.

Purpose: This chapter aims to understand different perspectives of big data. One philosophy of big data is defined by its volume and versatility, with an annual increase of 40% per annum. The other view represents its capability in dealing with multiple global issues fuelling innovation. This chapter will also offer insight into various ways to deal with societal problems, provide solutions to achieve economic growth, and aid vulnerable sections via sustainable development goals (SDGs).

Methodology: This chapter attempts to lay out a review of literature related to big data. It examines the implication that the big data pool potentially influences ideas and policies to achieve SDGs. Also, different techniques associated with collecting big data and an assortment of significant data sources are analysed in the context of achieving sustainable economic development and growth.

Findings: This chapter presents a list of challenges linked with big data analytics in governance and achievement of SDG. Different ways to deal with the challenges in using big data will also be addressed.

This paper aims to examine reform of mental health legislation in England and Wales. It covers the period from the introduction of the 1983 MHA to the proposed reforms outlined in the Wessley Review that was published in December 2018.

This is a literature-based project.

Reform of the mental health legislation reflects two potentially conflicting strands. One is the state’s power to incarcerate the “mad”, and the other is the move to protect the civil rights of those who are subject to such legislation. The failures to development adequately funded community-based mental health services and a series of inquiries in the 1990s led to the introduction of Community Treatment Orders in the 2007 reform of the MHA.

The development of mental health policy has seen a shift towards more coercive approaches in mental health.

The successful reform of the MHA can only be accomplished alongside investment in community mental health services.

The paper highlights the tensions between the factors that contribute to mental health legislation reform.

Arguing that the print media act as a claims-making forum for the social construction and contestation of crises, the aim of this paper is to explore how the print media mediated two audits commissioned following a high-profile salary cap breach in the National Rugby League (NRL) in Australia.

This paper draws upon critical discourse analysis to examine the media coverage of the two audits by the two major Australian media organisations, News Limited and Fairfax Media Limited. The analysis is based on a qualitative study complemented by quantitative techniques that explore critical incidents and representations in the daily press.

The paper illustrates the way in which News Limited, the owner of the infringing club, mobilised its media platform to promote favourable viewpoints and interpretations and how these were challenged in the Fairfax press. Evidence of both coverage bias and statement bias in the treatment of the two audits is produced.

This paper provides evidence that commercial interests of owner/publishers coloured media coverage of the two audits, which were central pillars of the crisis management strategy of News Limited and the NRL. Implications for the media's contribution to public accountability, accounting outputs and impression management, and the growing commercial diversification and reach of media outlets are considered.

In forensic mental health wards, patients spend more time with healthcare assistants (HCAs) than qualified nurses. Despite this, there is no universally utilised standardised HCA training. The purpose of this paper is to assess the HCAs’ experiences in the HCA role in order to better understand how to build on the HCA role to ensure safe practice, and enhance staff well-being.

HCAs working on low and medium secure NHS forensic mental health units were recruited through purposive methods. HCAs engaged in a semi-structured interview, with questions surrounding their support needs, clinical decision making and perception of risks in the role. Template analysis was used, applying an a priori template based on the existing literature to interview transcripts.

The participants described the HCA experience to be defined by two master themes: “HCA factors” and “organisational factors”. HCAs valued a holistic patient view which prized patients’ experiences. The participants described a lack of role clarity which may be defined through ward expectations and professional experience.

HCAs seek a holistic view of the patient; however, some overlooked patient offences in order to do their job. Future research should address how looking past offences impacts security and HCAs’ well-being long term.

The division between town and country in most areas of the world is marked and shows little evidence of any closer association, but in this country recent history with its wide economic changes has made the division less deep than in times past, but still within living memory. Time was when country folk were almost a distinct breed, living under conditions for the most part primitive.

SYDNEY GOODSIR SMITH had a long and fully documented essay, ‘Trahison des Clercs or the Anti‐Scottish Lobby in Scottish Letters’, in Studies in Scottish Literature, Vol. II, No. 2, October 1964, in the course of which he wrote:

The purpose of this paper is to explore a model of Lesson Study owned entirely by pre-service teachers (PSTs), conveying its potential to facilitate mutual spaces of learning between peers beyond formal hierarchical relationships with expert teachers. Fuller’s (1969) conceptual framework of teacher development informed the study, consisting of self, task and impact “phases of concern”.

Participants were secondary physical education PSTs (n=17), completing a university-led postgraduate certificate in education course. Action research methodology was adopted during school placements, when PSTs engaged in Lesson Study with peers. Data obtained through a group discussion board, individual questionnaires and interviews, were subjected to inductive analysis, with key patterns compared to locate themes.

All PSTs felt Lesson Study contributed positively to their training, reinforcing perceived benefits of cycles of action for planning, observing a lesson, reviewing and adapting the plan before re-teaching the revised plan. Findings reveal increased confidence in reducing self and task concerns through four emergent themes: acquiring content and pedagogical knowledge; developing the planning process; understanding individual learners’ needs; and embedding reflective practice. Mutually supportive peer-learning environments created pedagogic space beyond formal mentoring processes, augmenting learning to teach and the understanding of learners’ needs.

Endorsement of Lesson Study by PSTs as a method of engaging in a positive peer-learning climate suggests the workability of this model.

Findings contribute to existing literature exploring the effectiveness and impact of Lesson Study within initial teacher education.