Intraday periodicity and long memory volatility processes in the Korean bond futures market

This article examines long memory volatility processes in the 5 minute Korean Treasury bond futures data using two different techniques: the GPH test and the EML test. Two proxies of volatility returns are used: absolute returns and square returns. We found intraday periodicity and autocorrelation persistence in the volatility for the 5 minute returns. The empirical results from both techniques indicate that there is little evidence of long memory in the level of returns, but there is significant evidence of long memory in the absolute returns and the square returns. This implies that volatility is best characterised by long memory processes. Additionally, we found that the absolute returns are the most appropriate indicator to represent the long memory volatility processes.

Theorising men's violence towards women in refugee families : towards in intersectional feminist framework

Violence against women perpetrated by male partners, or ex-partners. is one of the most concerning and prevalent public health issues in the world today and is a major cause of injury and mental illness among women and children. Violence against women occurs in most societies irrespective of culture, socio-economic status or religion. Nevertheless, it has been identified that immigrant and refugee women are particularly at risk in cases of domestic violence (Easteal 1996: Narayan 1997; Human Rights Watch 2000; Walter 2001: Perilla 2003: Kang Kahler & Tesar 2003:). To make sense of this issue. we articulate an intersectional feminist framework that we used to analyse the results of an empirical investigation of men's violence against women in refugee families in Melbourne. II)

Although this research has investigated the complex field of domestic violence, culture. trauma and historical and contemporary disadvantage, it has a fundamental prerequisite standing that regardless of past and current experiences; men must take responsibility for their violence against women. Our concern is to understand how male domination manifests itself within each culture and emerging, changing cultures in the diaspora, to explore the connections with men's violence against women within the unique domain of the refugee experience.

Tissue distribution of lignans in rats in response to diet, dose−response, and competition with isoflavones

This paper investigates the occurrence and distribution of the lignan metabolites enterodiol (END) and enterolactone (ENL) and the isoflavone daidzein (DAID) in rat tissues by use of liquid chromatography−electrospray ionization mass spectrometry (LC−ESI/MSn) following a variety of dietary regimes. Furthermore, we examined the dose−response and distribution of END and ENL in liver, testes, prostate, and lung, and we investigated the effects of competition between lignans and isoflavones on metabolite distribution. In liver, testes, prostate, and lung tissue, dose-related increases in END concentration were observed. In the testes, coadministration of 60 mg/kg secoisolariciresinol diglycoside (SDG) with 60 mg/kg isoflavones produced alterations in the resulting metabolite profile, causing increased END concentration and decreased DAID concentration. Results indicate lignan accumulation in tissues occurs, and coadministration of lignans with isoflavones affects the metabolite profile, with effects dependent on tissue type.

The effect of tai chi on psychosocial well-being : a systematic review of randomized controlled trials

Objective : This systematic review aimed to critically appraise published clinical trials designed to assess the effect of Tai Chi on psychosocial well-being.

Data Sources : Databases searched included MEDLINE, CINAHL, EMBASE, HEALT, PsycINFO, CISCOM, the Cochrane Central Register of Controlled Trials of the Cochrane Library, and dissertations and conference proceedings from inception to August 2008.

Review Methods : Methodological quality was assessed using a modified Jadad scale. A total of 15 studies met the inclusion criteria (i.e. English publications of randomized controlled trials with Tai Chi as an intervention and psychological well-being as an outcome measure), of which eight were high quality trials. The psychosocial outcomes measured included anxiety (eight studies), depression (eight studies), mood (four studies), stress (two studies), general mental health three studies), anger, positive and negative effect, self-esteem, life satisfaction, social interaction and self-rated health (one study each).

Results : Tai Chi intervention was found to have a significant effect in 13 studies, especially in the management of depression and anxiety. Although the results seemed to suggest Tai Chi is effective, they should be interpreted cautiously as the quality of the trials varied substantially. Furthermore, significant findings were shown in only six high quality studies. Moreover, significant between group differences after Tai Chi intervention was demonstrated in only one high quality study (the other three significant results were observed in non-high quality studies). Two high quality studies in fact found no significant Tai Chi effects.

Conclusion : It is still premature to make any conclusive remarks on the effect of Tai Chi on psychosocial well-being.

Aptasensors design considerations

With the advancement of biotechnology, aptamer-based sensors have received intense attention in both research and commercial worlds. This is driven by the advantages of small molecule size, chemical stability, and cost effectiveness of aptamers over the conventional analyte detection using antibodies. This paper explores the aptasensors from a designer perspective and discusses the aptasensor design considerations by giving an overview of surface functionalization techniques and the existing mechanisms used to detect biomolecular interactions. It also expounds the factors that influence the accuracy and sensitivity of aptasensors.

Hybrid classification of pulmonary nodules

Automated classification of lung nodules is challenging because of the variation in shape and size of lung nodules, as well as their associated differences in their images. Ensemble based learners have demonstrated the potentialof good performance. Random forests are employed for pulmonary nodule classification where each tree in the forest produces a classification decision, and an integrated output is calculated. A classification aided by clustering approach is proposed to improve the lung nodule classification performance. Three experiments are performed using the LIDC lung image database of 32 cases. The classification performance and execution times are presented and discussed.

Genome - wide association study identifies novel breast cancer susceptibility loci

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r² > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10^-7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.

Changing politics of male homosexuality in contemporary Singapore

Over the last few years, the Singapore government appears to have been softening its hard line position on homosexuality in Singapore. This thesis examines the various developments that have recently taken place in this area; assesses the role of the media in homosexual related stories and coverage, and conducts a comprehensive survey eliciting views of young people towards a wide range of established and emerging homosexual issues in Singapore.

Drive cycle analysis of the performance of hybrid electric vehicles

 

Performance analysis of cyber security awareness delivery methods

In order to decrease information security threats caused by human-related vulnerabilities, an increased concentration on information security awareness and training is necessary. There are numerous information security awareness training delivery methods. The purpose of this study was to determine what delivery method is most successful in providing security awareness training. We conducted security awareness training using various delivery methods such as text based, game based and a short video presentation with the aim of determining user preference delivery methods. Our study suggests that a combined delvery methods are better than individual secrity awareness delivery method.

An approach to filtering duplicate RFID data streams

In a system where distributed network of Radio Frequency Identification (RFID) readers are used to collaboratively collect data from tagged objects, a scheme that detects and eliminates redundant data streams is required. To address this problem, we propose an approach that is based on Bloom filter to detect duplicate readings and filter redundant RFID data streams. We have evaluated the performance of the proposed approach and compared it with existing approaches. The experimental results demonstrate that the proposed approach provides superior performance as compared to the baseline approaches.

A privacy preserving service broker architecture for data sharing

The problem addressed in this paper is how to ensure data privacy concerns when data is shared between multiple organisations. In domains such as healthcare, there is a need to share privacy-sensitive data among autonomous but cooperating organisations. However, security concerns and compliance to privacy regulations requiring confidentiality of the data renders unrestricted access to organisational data by others undesirable. The challenge is how to guarantee privacy preservations for the owners of the information that are willing to share information with other organisations while keeping some other information secret. Therefore, there is a need for privacy preserving database operations for querying data residing at different parties. To address this challenge, we propose a new computationally efficient framework that enables organisations to share privacy-sensitive data. The proposed framework is able to answer queries without revealing any useful information to the data sources or to the third parties.