Assessing abundance and diversity patterns of soil microarthropod assemblages in northern Victoria Land (Antarctica)

This study aimed to: (1) assess differences between two quantitative sampling methods of soil microarthropods (visual census vs. stone washing) in ice-free areas located along a latitudinal gradient (from 72 degrees 37'S to 74 degrees 42'S) in northern Victoria Land (Antarctica); (2) furnish preliminary results on the abundance and diversity of mites and springtails in the studied areas. Visual census yielded reliable density estimates for adult collembolans and larger prostigmatic mites but did not detect small species. The study updates the distribution of several mites, including the southernmost record of an Oribatida species at global scale. Species composition was correlated with latitude but the uneven abundance distribution and local high beta-diversity probably reflect habitat fragmentation and population isolation. Under this circumstance nested sampling design should be usefully employed. Priorities and suitable methods for studying terrestrial microarthropod communities in continental Antarctica are discussed.

Queering the Family: Attitudes towards Lesbian and Gay Relationships and Families in Northern Ireland

The Northern Ireland Life andTimes (NILT) Survey has asked questions on lesbian, gay, bisexual and transgender (LGBT) issues since 1998. To date survey data have focused primarily on issues relating to prejudice, discrimination and tolerance. In 2012 a range of questions focussing more specifically on LGBT1 issues was included. This collected information on knowledge and perceptions of the LGBT population; personal prejudice; attitudes on equality issues; the visibility of LGBT people and family-related issues.

This update provides an overview of some of the information emerging from this data. It discusses attitudes towards same-sex relations and notable changes over time. Given recent political debate the primary focus of this paper is on attitudes relating to ‘queer’ marriage, family and parenting. We use the term ‘queer’ here to refer to ‘the diverse family structures formed by those with non-normative gender behaviours or sexual orientations’ (Bernstein and Reimann, 2001: 3). As previous updates have noted, there have been significant legislative and policy changes in this area (Jarman, 2010) and this continues with ongoing discussions regarding the development of a Sexual Orientation Strategy for Northern Ireland (Gray et al, 2013).

Update in the myeloproliferative neoplasms

The differential diagnosis of haematological abnormalities, such as leucocytosis, erythocytosis, thrombocytosis or indeed anaemia, is wide and disarming. Here we report on significant updates in the differential diagnosis of erythrocyosis and thrombocytosis presenting a simplified schema for the clinician. We then move to discuss significant advances in this field which have followed a series of key molecular findings, most specifically those affecting the JAK/STAT pathway.

Fast Convergence of Regularised Region-based Mixture of Gaussians for Dynamic Background Modelling

The momentum term has long been used in machine learning algorithms, especially back-propagation, to improve their speed of convergence. In this paper, we derive an expression to prove the O(1/k2) convergence rate of the online gradient method, with momentum type updates, when the individual gradients are constrained by a growth condition. We then apply these type of updates to video background modelling by using it in the update equations of the Region-based Mixture of Gaussians algorithm. Extensive evaluations are performed on both simulated data, as well as challenging real world scenarios with dynamic backgrounds, to show that these regularised updates help the mixtures converge faster than the conventional approach and consequently improve the algorithm’s performance.

Region-based Mixture of Gaussians Modelling for Foreground Detection in Dynamic Scenes

One of the most widely used techniques in computer vision for foreground detection is to model each background pixel as a Mixture of Gaussians (MoG). While this is effective for a static camera with a fixed or a slowly varying background, it fails to handle any fast, dynamic movement in the background. In this paper, we propose a generalised framework, called region-based MoG (RMoG), that takes into consideration neighbouring pixels while generating the model of the observed scene. The model equations are derived from Expectation Maximisation theory for batch mode, and stochastic approximation is used for online mode updates. We evaluate our region-based approach against ten sequences containing dynamic backgrounds, and show that the region-based approach provides a performance improvement over the traditional single pixel MoG. For feature and region sizes that are equal, the effect of increasing the learning rate is to reduce both true and false positives. Comparison with four state-of-the art approaches shows that RMoG outperforms the others in reducing false positives whilst still maintaining reasonable foreground definition. Lastly, using the ChangeDetection (CDNet 2014) benchmark, we evaluated RMoG against numerous surveillance scenes and found it to amongst the leading performers for dynamic background scenes, whilst providing comparable performance for other commonly occurring surveillance scenes.

Experiment of Digital Directional Modulation Transmitters

A digital directional modulation (DM) transmitter structure is proposed from a practical implementation point of view in this paper. This digital DM architecture is built with the help of several off-the-shelf physical layer wireless experiment platform hardware boards. When compared with previous analogue DM transmitter architectures, the digital means offers more precise and fast control on the updates of the array excitations. More importantly, it is an ideal physical arrangement to implement the most universal DM synthesis algorithm, i.e., the orthogonal vector approach. The practical issues in digital DM system calibrations are described and solved. The bit error rates (BERs) are measured via real-time data transmissions to illustrate the DM advantages, in terms of secrecy performance, over conventional non-DM beam-steering transmitters.

Contemporary Politics in the Middle East (Cambridge: Polity, 2011 – third edition)

The third edition of this dynamic book has been fully revised and updated to provide a comprehensive introduction to contemporary politics in the Middle East. Purposefully employing a clear thematic structure and including a wide range of case studies, data, visuals and further reading guidance the book explores and analyses the major issues which define the politics of this region of the globe.
Milton-Edwards begins by introducing and explaining key concepts and debates and goes on to outline the impact of colonialism and its legacy, the rise of Arab nationalism and anti-colonial politics. She then examines major political issues affecting the region, such as American foreign policy, political Islam, war and conflict, political economy, democratization, ethnicity and the role of women. The book concludes by highlighting the politics of the region in the twenty-first century and the future challenges it faces. This is a perfect introduction for undergraduates, covering key political, economic and social debates and providing updates and guidance for further reading.

"The genius of this book is that it integrates together the different themes which run through Middle Eastern politics. The coherence of the approach which the author has adopted is indicated by the manner in which she has updated the work in this second edition. Despite the substantial changes which the East has undergone since 9/11 and the 2003 Gulf War, the original line of analysis retains all its force. It remains a key reference for all those who are seeking to understand the region's politics, whether undergraduates, postgraduates or lay readers."
Tim Niblock, Exeter University
"I welcome the new edition of this comprehensive guide to the politics of such an important region of the world. It combines sensible generalizations with useful case studies of particularly important subjects. It is a must for all those who want to understand the complex politics of the modern Middle East."
Roger Owen, Harvard University
"Beverley Milton-Edwards has produced an excellent book, which is both wide-ranging in its coverage and punchy in its arguments. As such, its functions are dual. It works well as a text book, introducing the general reader to key themes in the contemporary region, from oil politics to ethnicity, to women and nationalism. But it also works as a running commentary on key debates, such as the rile of colonialism and the relationship between Islam and democracy. In short, this is a book with attitude."
Philip Robins, St Antony's College, Oxford

An iterative longest matching segment approach to speech enhancement with additive noise and channel distortion

This paper presents a new approach to speech enhancement from single-channel measurements involving both noise and channel distortion (i.e., convolutional noise), and demonstrates its applications for robust speech recognition and for improving noisy speech quality. The approach is based on finding longest matching segments (LMS) from a corpus of clean, wideband speech. The approach adds three novel developments to our previous LMS research. First, we address the problem of channel distortion as well as additive noise. Second, we present an improved method for modeling noise for speech estimation. Third, we present an iterative algorithm which updates the noise and channel estimates of the corpus data model. In experiments using speech recognition as a test with the Aurora 4 database, the use of our enhancement approach as a preprocessor for feature extraction significantly improved the performance of a baseline recognition system. In another comparison against conventional enhancement algorithms, both the PESQ and the segmental SNR ratings of the LMS algorithm were superior to the other methods for noisy speech enhancement.

Brand personification and symbolic consumption among ethnic minority teenage consumers: An empirical study

A plethora of evidence suggests that developed societies such as the United Kingdom are becoming increasingly multicultural by the day. Hence, the diversity of consumption in these societies becomes gradually evident in the form of residents’ age, gender, income and ethnicity. Accordingly, this article explores the brand personification and symbolic consumption in respect of London-based Black African teenage consumers. The study is rooted in the interpretive research paradigm with 36 in-depth interviews conducted with the target respondents. The study shows the interactions of personal, social, cultural, psychological and commercial factors in how these young ethnic minority consumers make their consumption decisions, define and manage their various ‘selves’ in the postmodern society. It specifically highlights that they use symbolic consumption to address their need for acceptance in the society. It updates the extant ethnic minority studies and enriches the current understanding about symbolic consumption and brand personification especially with a focus on a specific segment of the society. The managerial implications of the study are highlighted in the article.

Land Ocean Interactions in the Coastal Zone, LOICZ: lessons from Banda Aceh, Atlantis, and Canute

This special issue of Estuarine, Coastal and Shelf Science synthesizes and updates the developments in science related to Land Ocean Interactions in the Coastal Zone (LOICZ). Frequent updates about the dynamic coastal zone are useful and necessary as global change accelerates. There is an urgent need to improve the knowledge and understanding of the vulnerability of society and ecosystems to global change hazards in the coastal zone (Vermaat et al., 2005). The collection of papers in this special issue places new developments, findings, techniques and insights within the context of LOICZ science. For the convenience of the reader, the references to papers included in this special issue are printed in italic, whereas other references to LOICZ science are in normal print.

HOTVal Toolkit

**************************************************************************** Scroll down to "Additional Files" to access the HOTVal Toolkit. **************************************************************************** HOTVal is a hotel valuation spreadsheet based on a regression model discussed in the Center for Real Estate and Finance at Cornell called Cornell Hotel Indices: Second Quarter 2012: The Trend is Our Friend by Crocker H. Liu, Adam D. Nowak, and Robert M. White, Jr. The model which will be continually updated, provides a rough estimation of the value of a hotel property once the user inputs information on whether the hotel is a large or small hotel, the year and quarter of the valuation, the state where the property is located, the number of rooms, the number of floors, the land area of the hotel property, the actual age of the hotel and whether the hotel is located in a Gateway city. For the first three inputs as well as the last input, if the user clicks on a cell highlighted in yellow, a pull down menu will appear to expedite inputting. The model is provided as a free public service by The Center for Real Estate and Finance at the School of Hotel Administration at Cornell University to academics and practitioners on an as-is, best-effort basis with no warranties or claims regarding its usefulness or implications. The estimates should be considered preliminary and subject to revision. *This October 2016 version updates the previous Hotel Valuation model, published in 2012 , provides valuation estimates up to and including the third quarter of 2016.

Inferring Big 5 Personality from Online Social Networks

Thesis (Master's)--University of Washington, 2014