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The voluntary sector has an important role to play in the provision of services for people with mental health needs of lesser severity, thus complementing statutory services, as suggested by recent national policy. This article describes such a service for young homeless people, and discusses the perceptions of key stakeholders of the benefits and challenges of such a service. The service largely met the mental health needs of young people who would not have easily accessed statutory mental health services, and who fulfilled the criteria (low/moderate need) of the service. Challenges for the future included the different organisational cultures, the professional isolation of the mental health practitioners and the lack of operational and commissioning links with statutory mental health services.

Young homeless people have mental health needs. Research and national policies have highlighted that accommodation providers need to offer holistic interventions to encourage this vulnerable group to break the cycle of homelessness. Currently no research literature documents how homeless shelters respond to mental health needs. This research was intended to address this research question.A postal questionnaire was sent to 132 managers of homeless shelters, achieving a response rate of 64.4%. Frequencies and descriptive statistics were calculated, and written data was analysed using content analysis. Mental health problems were highly prevalent, and homeless shelters responded in a variety of ways (use of GP services, internal services, referring to external services, in‐house outreach services, no service provision, etc). Only 27.1% of managers of homeless shelters reported that their services were sufficient to meet their young people's needs. These findings reflect the need for inclusion of mental health in homeless shelters' strategic objectives, and development of commissioning of local partnerships with health agencies.

The purpose of this paper is to formulate a structured approach to design an annular diffusion flame combustion chamber for use in the development of a 1,400 kW range aero turbo shaft engine. The purpose is extended to perform numerical combustion modeling by solving transient Favre Averaged Navier Stokes equations using realizable two equation k-e turbulence model and Discrete Ordinate radiation model. The presumed shape β-Probability Density Function (β-PDF) is used for turbulence chemistry interaction. The experiments are conducted on the real engine to validate the combustion chamber performance.

The combustor geometry is designed using the reference area method and semi-empirical correlations. The three dimensional combustor model is made using a commercial software. The numerical modeling of the combustion process is performed by following Eulerian approach. The functional testing of combustor was conducted to evaluate the performance.

The results obtained by the numerical modeling provide a detailed understanding of the combustor internal flow dynamics. The transient flame structures and streamline plots are presented. The velocity profiles obtained at different locations along the combustor by numerical modeling mostly go in-line with the previously published research works. The combustor exit temperature obtained by numerical modeling and experiment are found to be within the acceptable limit. These results form the basis of understanding the design procedure and opens-up avenues for further developments.

Internal flow and combustion dynamics obtained from numerical simulation are not experimented owing to non-availability of adequate research facilities.

This study contributes toward the understanding of basic procedures and firsthand experience in the design aspects of combustors for aero-engine applications. This work also highlights one of the efficient, faster and economical aero gas turbine annular diffusion flame combustion chamber design and development.

The main novelty in this work is the incorporation of scoops in the dilution zone of the numerical model of combustion chamber to augment the effectiveness of cooling of combustion products to obtain the desired combustor exit temperature. The use of polyhedral cells for computational domain discretization in combustion modeling for aero engine application helps in achieving faster convergence and reliable predictions. The methodology and procedures presented in this work provide a basic understanding of the design aspects to the beginners working in the gas turbine combustors particularly meant for turbo shaft engines applications.

This paper aims to present an overview of the current state of evidence on the effect of housing circumstances, and housing‐related interventions, on adult mental health and well‐being. It covers the entire range of health from chronic illness to positive thriving, and both individual and community‐level/public health.

The paper is based upon a purposive review, commissioned originally for the UK Department of Health; and therefore is selective in giving priority to research relevant to public policy considerations, and to the UK context. Research with a variety of methodological foundations is considered, where robust enough by its own standards.

The available evidence gives conditional support to policies accentuating empowerment at individual and community levels; early intervention; locality or place‐based interventions; and integrated working practice. The complexity of methodological issues emerges as a key challenge for research in this field, and for the prospect of evidence‐based national policy. Meanwhile local knowledge and interpretation of data in context may be more reliable than context‐blind studies.

Where “hard evidence” is unavailable, reports of the lived experience of individuals and in communities remain a legitimate basis for policy and commissioning.

This appears to be the first attempt in print to cover such a wide canvas in one overview.

This paper aims to examine tweet posts regarding Typhoon Washi to contend the usefulness of social media and big data as an aid of post-disaster management. Through topic modelling and content analysis, this study examines the priorities of the victims expressed in Twitter and how the priorities changed over a year.

Social media, particularly Twitter, was where the data gathered. Using big data technology, the gathered data were processed and analysed according to the objectives of the study. Topic modelling was used in clustering words from different topics. Clustered words were then used for content analysis in determining the needs of the victims. Word frequency count was also used in determining what words were repeatedly used during the course period. To validate the gathered data online, government documents were requested and concerned government agencies were also interviewed.

Findings of this study argue that housing and relief goods have been the top priorities of the victims. Victims are seeking relief goods, especially when they are in evacuation centres. Also, the lack of legal basis hinders government officials from integrating social media information unto policymaking.

This study only reports Twitter posts containing keywords either, Sendong, SendongPH, Washi or TyphoonWashi. The keywords were determined based on the words that trended after Typhoon Washi struck.

For social media and big data to be adoptable and efficacious, supporting and facilitating conditions are necessary. Structural, technical and financial support, as well as legal framework, should be in place. Maintaining and sustaining positive attitude towards it should be taken care of.

Although many studies have been conducted on the usefulness of social media in times of disaster, many of these focused on the use of social media as medium that can efficiently spread information, and little has been done on how the government can use both social media and big data in collecting and analysing the needs of the victims. This study fills those gaps in social big data literature.