Increasing thermal mass in lightweight dwellings using phase change materials – a literature review

The number of houses of lightweight timber or steel frame construction being built over recent years has increased significantly. These buildings have low thermal mass and may be subject to large temperature fluctuations and particular overheating during the summer and this problem is set to get worse with the changing climate. Researchers have been investigating the use of PCMs (phase change materials) for improving thermal mass in lightweight buildings and found them to be effective. However, until recently, various problems have prevented products from entering the commercial market. In the last few years microencapsulated paraffin PCMs have been developed that are easy to use and building products are now available to buy containing these materials. Although there is significant academic research relating to PCMs for thermal buffering in lightweight buildings, there is a lack of field trials and case studies of PCMs in buildings in use. There is also a lack of information and guidance for designers and building owners. Recommendations are made for further research to discover the viability of uptake for PCM wallboard technology and the provision of information about the benefits of the products to the public and industry professionals

The molecular association of the carbamic esters

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The health seeking behaviours of ageing Niuean women in Central Auckland : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Nursing at Massey University

This qualitative study encompasses several features in its design. It is exploratory, emergent and the realms of discovery and description are informed by Max van Manen's (1990) human science approach. Van Manen's approach has enabled analysis of the data. Human science is comprised of phenomenology, hermeneutics and language and when coupled with the data collection method of focus groups makes for interesting outcomes. Time is needed to develop the narrative texts as phenomenological interpretation is never complete. There will always be levels of understanding waiting to be discovered. As a New Zealand bom Niuean woman, I have provided a preliminary account of the health seeking behaviours of ageing Niuean women (Matua fifine) in Auckland. The context of health seeking behaviour cannot be realized until there is an understanding of the participant's perceptions of health and illness. Understanding peoples perceptions of health and illness may give insights into the reasons for the decisions that the Matua fifine make when choosing to engage or not engage primary and or secondary health services. This also includes traditional medicine and complementary therapies. The assumption is that people make a direct move to seek a healthcare provider when well and unwell. What is not appreciated are the choices that are also available such as self management or a wait and see approach. Equally important is the role of spirituality, which encompasses Christian beliefs and traditional beliefs. Background information of history and the Niuean way of life, sets the context for this study. Consultation within the Niuean community is an ethical consideration that has paved the way for support for this study. This study will enable the voice of the Matua fifine Niue to be heard so that health services will be able to respond to and preserve their dignity and individuality which are foundational for good health and positive ageing

Computational Models for Transplant Biomarker Discovery.

Translational medicine offers a rich promise for improved diagnostics and drug discovery for biomedical research in the field of transplantation, where continued unmet diagnostic and therapeutic needs persist. Current advent of genomics and proteomics profiling called "omics" provides new resources to develop novel biomarkers for clinical routine. Establishing such a marker system heavily depends on appropriate applications of computational algorithms and software, which are basically based on mathematical theories and models. Understanding these theories would help to apply appropriate algorithms to ensure biomarker systems successful. Here, we review the key advances in theories and mathematical models relevant to transplant biomarker developments. Advantages and limitations inherent inside these models are discussed. The principles of key -computational approaches for selecting efficiently the best subset of biomarkers from high--dimensional omics data are highlighted. Prediction models are also introduced, and the integration of multi-microarray data is also discussed. Appreciating these key advances would help to accelerate the development of clinically reliable biomarker systems

Unraveling the Role of Allo-Antibodies and Transplant Injury.

Alloimmunity driving rejection in the context of solid organ transplantation can be grossly divided into mechanisms predominantly driven by either T cell-mediated rejection (TCMR) and antibody-mediated rejection (ABMR), though the co-existence of both types of rejections can be seen in a variable number of sampled grafts. Acute TCMR can generally be well controlled by the establishment of effective immunosuppression (1, 2). Acute ABMR is a low frequency finding in the current era of blood group and HLA donor/recipient matching and the avoidance of engraftment in the context of high-titer, preformed donor-specific antibodies. However, chronic ABMR remains a major complication resulting in the untimely loss of transplanted organs (3-10). The close relationship between donor-specific antibodies and ABMR has been revealed by the highly sensitive detection of human leukocyte antigen (HLA) antibodies (7, 11-15). Injury to transplanted organs by activation of humoral immune reaction in the context of HLA identical transplants and the absence of donor specific antibodies (17-24), strongly suggest the participation of non-HLA (nHLA) antibodies in ABMR (25). In this review, we discuss the genesis of ABMR in the context of HLA and nHLA antibodies and summarize strategies for ABMR management

Gender Bias and The Indonesian Financial Crisis: Were Girls Hit Hardest?

We analyze how the financial crisis affected a wide range of investments in Indonesian children and children's outcomes including school enrollment, immunizations, and mortality. Our dataset is the National Socio-Economic Survey (Susenas), a large nationally representative sample. We build on past research by differentiating outcomes for boys and for girls, and by separating regions heavily affected by the financial crisis from others that were relatively unhurt. Along most dimensions, children were well protected. Contrary to some theory and press reports, girls did not fare worse than boys during the crisis.