_The Work So Far ..._ Data from the spreadsheet was abstracted and a new data table was created that contained the following information: 1. The name of the country where the screening for breast cancer, 2. The percentage reduction in the usage of HRT between peak use and the last reported use 3. The percentage reduction in the reported incidence for the corresponding years for the relevant age groups (50-64+) 4. The Age Range at which Screening for Breast Cancer using Mammograms begin. If the age range was 50-64 years, it was given a code of 1, else if the age at which mammogram began was earlier (that is for younger age), the Age range variable was assigned a code of 2. In addition to this, data from the papers by Verkooijen et al and Zbuk et al were extracted. For each of these data, the following information were abstracted from each paper 1. The name of the country where the study was conducted 2. The percentage of reduction from peak HRT usage till the date when it was reported 3. The reduction in percentage in the corresponding breast cancer incidence as reported in the paper. These were presented in a corresponding table abstracted from the papers (see Figures 1 and 2). For each of the three data, a linear regression model was run to study the extent to which reduction in the HRT usage might explain the reduction in the incidence of Breast Cancer. For the current dataset, in addition, the relationship between the reduction in Breast Cancer and the HRT usage was further adjusted for by including the age at which screening begins.

Abstract We are living in an age of the “Internet of Things”(IoT) and “Internet of Self”(IoS), pervasive and omnipresent electronic media and “quantified self” at the physical and biochemical levels. Real time monitoring of self through glasses, watches, wearable computing devices, including fabrics can be harnessed for education. The use of video is now ubiquitous in learning including the use of short sequences demonstrating practice exercises and instructional sequences (eg Khan Academy) allowing anytime anywhere study. We need to be clear we are talking about the opportunity to learn, opportunity becomes learning when the individual engages in a cognitive process, wearing or carrying a device provides the opportunity, cognition the learning. Rapid learning from the future and its associated self model theory (Dowrick 2012) draws on over four decades of self modeling using purposefully constructed videos. These have been used to teach, through observation, individuals skills and procedures that they are not able to achieve at present, but by viewing a possible future depicting the individual successfully engaged in achieving, rapid learning takes place usually within several viewings. These “Feedforward” video clips are typically less than two minutes in length (Dowrick 1976). Despite several implementations of the self measurement technologies, it is not clear how self modeling and emergent technologies based on the Internet of Things, wearable computing, and personal monitoring devices compare and contrast with each other to further education. It is clear that the internet of things and the internet of self (personalized learning opportunities) play and will continue to play a huge part in the developing world. The objective of this paper is to provide a comprehensive survey of the literature in the form of a systematic implementations with what is known about the Internet of self through the effectiveness of self modeling. Such a comparison will be helpful in predicting the potential success and may provide new directions for the use of the emerging tools. The organization of the paper will be in three parts as follows: a brief background history of the emergence of the Internet of Things, the concept of video self modeling and describe their potential in changing teaching and learning practices in the tertiary sector particularly in professional education a systematic review of the effectiveness of the emergent technologies (IoT, and wearable computing devices) for educational purposes, and finally, we shall provide a synthesis of how the more effective technologies can be compared, contrasted, and combined with the practices of self modeling to foster effective learning. We shall select English language intervention studies published in the last 10 years. The review, will critically appraise information identifying possible biases, ascertain the quality of the studies, and rank order the publications. We will estimate summary effect sizes for differing combinations wherever possible. The resulting discussion of the Internet of Things and self will inform pedagogical tools for rapid learning.

It has been shown previously that growth stresses are induced during secondary cell wall formation, however the mechanism responsible is unknown. Two hypotheses exist to explain the stress generation; 1) deposition of lignin between the fibril aggregates, or 2) a mechanism resulting in a length change of the cellulose itself causing the cell to expand or contract axially depending on the orientation of the fibrils (MFA). A combination of the two has also been proposed. The proposed research will increase our understanding of the mechanisms behind growth stress formation through the development of a mathematical model taking into account a realistic cell wall supramolecular architecture to simulate cell wall maturation. The geometric parameters of the molecular cell wall architecture and chemical composition will be studied using x-ray diffraction, atomic force microscopy and wet chemistry. Experimentation will also be used to investigate the role of the gelatinous (G) cell wall layer in the formation of tension wood. The New Zealand Dryland Forest Initiative (NZDFI) is currently breeding _Eucalyptus bosistoana_ as a high value timber crop alternative to _Pinus radiata_. One of the goals of the breeding trials is to select for minimal growth stresses so that the timber does not loose value when harvesting and milling due to the release of internal stresses. The proposed research will select families at young ages which are producing the lowest possible growth stresses improving the _E. bosistoana_ breeding stock.

SECTION ONE - CRAZY STUFF _Oh, an empty article!_ You can get started by DOUBLE CLICKING this text block and begin editing. You can also click the INSERT button below to add new block elements. Or you can DRAG AND DROP AN IMAGE right onto this text. Happy writing! Figure [fig1] shows awesome researchers at work. writes an article. TODO Does this thing do many LaTeX commands?

Introduction and Background The purpose of this document is to write a business case for appointment of an Academic (Senior Lecturer/Associate Professor or above) following Pauline's retirement. In one of our recent Thursday meetings (18th September, 2014), Ann suggested that we start putting together the process of writing up a business case for the appointment of an academic after Pauline leaves. I acknowledge that any writing of a business case at this stage is based on incomplete information and therefore this document will be heavily edited and amended at various stages.