Survey of Viruses Affecting Faba Bean in Six Arab Countries

A field survey of faba bean (Vicia [aba L.) for viruses in six Arab countries showed the presence of nine viruses. Bean leaf roll virus (BLRV), bean yellow mosaic virus (BYMV), broad bean mottle virus (BBMV) and to a lesser extent broad bean stain virus (BBSV) were the most common. When testing with ELISA 789 samples with symptoms suggestive of virus infection collected from Egypt, Lebanon, Morocco, Sudan, Syria and Tunisia, BBMV was detected in 203 samples, BBSV in 151, broad bean true mosaic virus (BBTMV) in 7, broad bean wilt virus (BBWV) in 47, BYMV in 314, cucumber mosaic virus (CMV) in 96, pea enation mosaic virus (PEMV) in 31, and pea seed-borne mosaic virus (PSbMV) in 49 samples. Identity of selected field isolates was confirmed by electron microscopy and host reaction studies. In a yield experiment, infection with BYMV, BBMV and BBSV 11 weeks after sowing (pre-flowering) led to 81, 54 and 84% yield loss, respectively. Inoculation with the same viruses 15 weeks after sowing (flowering) and 20 weeks after sowing (pod setting) led to 56, 84 and 18%, and 39, 37 and 18% yield loss, respectively.

Entertaining the E Word : Barrie Kosky's On Ecstasy [A Review]

A review of Barrie Kosky's essay, On Ecstasy : Most of us describe the E word as a pleasant, out of this world experience—a type of boundless, artificial joy, deliberately induced by some kind of technicoloured drug. For others, it is that “lovey dovey” feeling. A spinning ceiling. Anything Lindt. For sensualist and soup connoisseur Barrie Kosky, it is easier than this. Being On Ecstasy involves, quite simply, his grandmother's chicken specialty—something warm and golden, surrendered with vegetables and a side of transcendental bliss. “A soup that took you to the beginning and end of time itself. A dazzling, pure, clear rhapsody” (7).

Modelling word meaning using efficient tensor representations

Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric representations of words to store semantic associations between words. Often word order information is not captured in these models. The lack of structural information used by these models has been raised as a weakness when performing cognitive tasks. This paper presents an efficient tensor based approach to modelling word meaning that builds on recent attempts to encode word order information, while providing flexible methods for extracting task specific semantic information.

An investigation of unique challenges in National Historic relics and scenic sites (NHRSSs) in Chinese research literature 1982-2008 using co-word analysis

National Housing Relics and Scenic Sites (NHRSSs) in China are the equivalent of National Parks in the West but have contrasting features and broader roles when compared to their Western counterparts. By reviewing and analysing more than 370 academic sources, this paper identifies 6 major issue clusters and future challenges that will influence the management of NHRSSs over time. It also provides a number of cases to illustrate the particular features of NHRSSs. Identifying the hot issues and important challenges in Chinese NHRSSs will provide valuable insights into priorities now being discussed in highly populated areas of the World.

Investigating the future of project management : a co-word analysis approach

If Project Management (PM) is a well-accepted mode of managing organizations, more and more organizations are adopting PM in order to satisfy the diversified needs of application areas within a variety of industries and organizations. Concurrently, the number of PM practitioners and people involved at various level of qualification is vigorously rising. Thus the importance to characterize, define and understand this field and its underlying strength, basis and development is paramount. For this purpose we will referee to sociology of actor-networks and qualitative scientometrics leading to the choice of the co-word analysis method in enabling us to capture the project management field and its dynamics. Results of a study based on the analysis of EBSCO Business Source Premier Database will be presented and some future trends and scenarios proposed. The main following trends are confirmed, in alignment with previous studies: continuous interest for the “cost engineering” aspects, on going interest for Economic aspects and contracts, how to deal with various project types (categorizations), the integration with Supply Chain Management and Learning and Knowledge Management. Furthermore besides these continuous trends, we can note new areas of interest: the link between strategy and project, Governance, the importance of maturity (organizational performance and metrics, control) and Change Management. We see the actors (Professional Bodies, Governmental Bodies, Agencies, Universities, Industries, Researchers, and Practitioners) reinforcing their competing/cooperative strategies in the development of standards and certifications and moving to more “business oriented” relationships with their members and main stakeholders (Governments, Institutions like European Community, Industries, Agencies, NGOs…), at least at central level.

Parrhesia and democracy : Truthtelling, WikiLeaks and the Arab Spring

Parrhesia — the practice of truth-telling — was adapted to various ancient legal, political, philosophical and religious contexts. In this essay we focus on parrhesia in politics and its relevance for democracy, concentrating on the account given by Michel Foucault. We suggest that Foucault’s approach to parrhesia and democracy is valuable because of its stress on the analysis of governmental rationalities and the ethical comportment of citizens, rather than on the normative dimensions of democracy, as is more usual (but more sterile) in political thought. We take two modern examples of truth-telling’s role in democracy – the recent WikiLeaks scandal and the political struggles in Tunisia and Egypt – as a way of assessing the value of Foucault’s distinctive approach and the relevance of parrhesia for democracy today.

Bin Laden in the Suburbs: Criminalising the Arab Other

This book examines public worrying over 'ethnic crime' and what it tells us about Australia today. How, for instance, can the blame for a series of brutal group sexual assaults in Sydney be so widely attributed to whole ethnic communities? How is it that the arrival of a foundering boatload of asylum-seekers mostly seeking refuge from despotic regimes in 'the Middle East' can be manipulated to characterise complete cohorts of applicants for refuge 'and their immigrant compatriots' as dangerous, dishonest, criminally inclined and inhuman? How did the airborne terror attacks on the USA on 11 September 2001 exacerbate existing tendencies in Australia to stereotype Arabs and Muslims as backward, inassimilable, without respect for Western laws and values, and complicit with barbarism and terrorism? Bin Laden in the Suburbs argues that we are witnessing the emergence of the 'Arab Other' as the pre-eminent 'folk devil' of our time. This Arab Other functions in the national imaginary to prop up the project of national belonging. It has little to do with the lived experiences of Arab, Middle Eastern or Muslim Australians, and everything to do with a host of social anxieties which overlap in a series of moral panics. Bin Laden in the Suburbs analyses a decisive moment in the history of multiculturalism in Australia. 'Unlike most migrants, the Arab migrant is a subversive will ... They invade our shores, take over our neighbourhood and rape our women. They are all little bin Ladens and they are everywhere: Explicit bin Ladens and closet bin Ladens; Conscious bin Ladens and unconscious bin Ladens; bin Ladens on the beach and bin Ladens in the suburbs, as this book is aptly titled. Within this register ... even a single Arab is a threat. Contain the Arab or exterminate the Arab? A 'tolerable' presence in the suburbs, or caged in a concentration camp? ... The politics of the Western post-colonial state is constantly and dangerously oscillating between these tendencies today. It is this dangerous oscillation that is so lucidly exposed in this book'.

Not a dirty word : arts entrepreneurship and higher education

While the majority of creative, performing, and literary artists are self-employed, relatively few tertiary arts schools attempt to develop capabilities for venture creation and management (and entrepreneurship more broadly) and still fewer do so effectively. This article asks why this is the case. It addresses underlying conceptual and philosophical issues encountered by arts educators, arguing that in all three senses of the term: new venture creation; career self-management; and being enterprising, entrepreneurship is essential to career success in the arts. However, the practice of entrepreneurship in the arts is significantly different from the practice of entrepreneurship in business, in terms of the artist’s drivers and aims, as well as the nature of entrepreneurial opportunities, contexts and processes. These differences mean that entrepreneurship curricula cannot simply be imported from Business schools. This article also examines the arts-idiosyncratic challenge of negotiating distinctive and potentially conflicting entrepreneurial aims, using career identity theory. It concludes by suggesting strategies by which adaptive entrepreneurial artist identities can be developed through higher education programs.

Spreading the Word: Garden Writing in the Sub-Tropics [Review]

This article examines local publications regarding horticulture, botany and garden design from the first 50 years of Queensland history.

QUT Para at TREC 2012 Web Track : Word Associations for Retrieving Web Documents

Many existing information retrieval models do not explicitly take into account in- formation about word associations. Our approach makes use of rst and second order relationships found in natural language, known as syntagmatic and paradigmatic associ- ations, respectively. This is achieved by using a formal model of word meaning within the query expansion process. On ad hoc retrieval, our approach achieves statistically sig- ni cant improvements in MAP (0.158) and P@20 (0.396) over our baseline model. The ERR@20 and nDCG@20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associa- tions can assist with improving retrieval eectiveness on ad hoc retrieval.

Empirical analysis of the effect of dimension reduction and word order on semantic vectors

The aim of this paper is to provide a comparison of various algorithms and parameters to build reduced semantic spaces. The effect of dimension reduction, the stability of the representation and the effect of word order are examined in the context of the five algorithms bearing on semantic vectors: Random projection (RP), singular value decom- position (SVD), non-negative matrix factorization (NMF), permutations and holographic reduced representations (HRR). The quality of semantic representation was tested by means of synonym finding task using the TOEFL test on the TASA corpus. Dimension reduction was found to improve the quality of semantic representation but it is hard to find the optimal parameter settings. Even though dimension reduction by RP was found to be more generally applicable than SVD, the semantic vectors produced by RP are somewhat unstable. The effect of encoding word order into the semantic vector representation via HRR did not lead to any increase in scores over vectors constructed from word co-occurrence in context information. In this regard, very small context windows resulted in better semantic vectors for the TOEFL test.

QUT_Para at TREC 2012 Web Track : word associations for retrieving web documents

Many existing information retrieval models do not explicitly take into account in- formation about word associations. Our approach makes use of rst and second order relationships found in natural language, known as syntagmatic and paradigmatic associ- ations, respectively. This is achieved by using a formal model of word meaning within the query expansion process. On ad hoc retrieval, our approach achieves statistically sig- ni cant improvements in MAP (0.158) and P@20 (0.396) over our baseline model. The ERR@20 and nDCG@20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associa- tions can assist with improving retrieval eectiveness on ad hoc retrieval.

Modelling word activation in semantic networks : three scaled entanglement models compared

Modelling how a word is activated in human memory is an important requirement for determining the probability of recall of a word in an extra-list cueing experiment. Previous research assumed a quantum-like model in which the semantic network was modelled as entangled qubits, however the level of activation was clearly being over-estimated. This paper explores three variations of this model, each of which are distinguished by a scaling factor designed to compensate the overestimation.

A tensor encoding model of word meaning : theory and application to information retrieval

This project was a step forward in developing and evaluating a novel, mathematical model that can deduce the meaning of words based on their use in language. This model can be applied to a wide range of natural language applications, including the information seeking process most of us undertake on a daily basis.