Endometriosis, an unknown entity: the consumer`s perspective

This paper reports the findings of a consumer-driven investigation conducted by the Centre for Clinical Nursing Research at Epworth Hospital in conjunction with the Endometriosis Association (Victoria, Australia) aimed at identifying the information and support needs of women experiencing endometriosis. Women's experiences of endometriosis and laparoscopy were examined. A questionnaire was designed to explore women's experiences of, and informational need for, the four categories of: diagnosis of endometriosis, endometriosis, laparoscopy and managing at home. A total of 465 women who had a positive diagnosis of endometriosis, including patients at the Epworth Endometriosis Centre and members of the Endometriosis Association, were included. The data were analysed in terms of frequency of responses and themes that arose from the research. Five main themes consistently emerged from the overall analysis of the questionnaire; these included: lack of communication, no-one listens, the emotional turmoil, expressions of gratitude to the Endometriosis Association and being young and helpless. Also identified was a lack of understanding of endometriosis and laparoscopy, on behalf of both the patient and the practitioner, which has led to communication of misinformation, extended physical pain and emotional distress. Based on these findings, recommendations were made for education strategies to be focused towards increasing awareness of endometriosis and for information to be disseminated using the preferred printed format and to be made available from gynaecologists, hospitals and schools. Through consumer participation, the information obtained in this study is of benefit to all women who come in contact with endometriosis by (a) validating women's experiences of endometriosis and (b) identifying women's needs in relation to the disease.

Emergence of the individual as an international juristic entity: enforcement of International Human Rights

In this article it is contended that state practice, as evidenced in the  declarations of the judiciary and the many treaties and conventions  guaranteeing human rights, reveals a consensus of opinion acknowledging the individual to be an international juristic entity. So extensive is this practice that it could be seen as marking the emergence of a new customary international norm; or at least a general principle of international law, yet to crystallise into a custom; acknowledging the individual as the beneficiary of international rights. This is important for individuals and minority groups because if they possess international rights independently of the State, enforcement of their rights will no longer depend on the interests of the State. Where the State is often the offender of human rights, international law will not effectively confer any real rights unless the individual is so recognised as an international juristic entity.

Quality of care for women presenting with benign breast conditions

The aim of the study was to investigate the management of women with benign breast problems. A consecutive sample of women (n = 194) was assessed who presented to public or private sector providers. The main reasons for referral were breast lumps (62%); 56% of women who attended the public sector did not receive any recommendation compared to 40% who attended the private sector and clinical/general practitioner reviews were recommended to more women in the private sector (54%). Reasons for the discrepancy between public and private patients require further investigation. (Intern Med J 2005; 35: 357–358)

Risk factors for surgically treated benign prostatic hyperplasia in Western Australia

Objective: To determine the relationship between personal, hormonal and lifestyle risk factors and surgically treated benign prostatic hyperplasia (BPH). Materials and methods: A population-based case–control study was conducted in Western Australia (WA) on men aged 40–75 years who were surgically treated at public and private hospitals for BPH during 2001–2002. Controls were recruited from the WA electoral roll. Cases and controls were compared with regard to demographic and lifestyle factors and proxy measures of hormonal status using logistic regression. Data were available for 398 cases and 471 controls. Results: No associations with BPH were found for family history of prostate cancer in father or brother, serving in the military in a combat area, pattern of baldness, smoking status, obesity, alcohol intake and occupational physical activity. The only inverse relationship was observed with heavy alcohol drinking (>30 g/day), however, this was not statistically significant. An increased risk of BPH, not statistically significant, was observed for British-born men compared to Australian born and for history of vasectomy. The analysis was repeated after excluding 28% of controls with moderate and severe symptoms of BPH and 7% of cases with mild symptoms prior to surgery, and our results remained essentially unchanged. Conclusions:The results suggest that there are few risk factors for BPH although perhaps country of birth, vasectomy and heavy alcohol consumption may be considered further.

Benign recurrent intrahepatic cholestasis with secondary renal impairment treated with extracorporeal albumin dialysis

Benign recurrent intrahepatic cholestasis (BRIC) is a rare autosomal recessive condition characterized by intermittent episodes of pruritis and jaundice that may last days to months. Treatment is often ineffective and symptoms, particularly pruritis, can be severe. Extracorporeal albumin dialysis (molecular adsorbent recycling system, MARS) is a novel treatment which removes albumin bound toxins including bilirubin and bile salts. We describe a case of a 34-year-old man with BRIC and secondary renal impairment who, having failed standard medical therapy, was treated with MARS. The treatment immediately improved his symptoms, renal and liver function tests and appeared to terminate the episode of cholestasis. We conclude that MARS is a safe and effective treatment for BRIC with associated renal impairment.

Analysis of malicious and benign Android applications

Since its establishment, the Android applications market has been infected by a proliferation of malicious applications. Recent studies show that rogue developers are injecting malware into legitimate market applications which are then installed on open source sites for consumer uptake. Often, applications are infected several times. In this paper, we investigate the behavior of malicious Android applications, we present a simple and effective way to safely execute and analyze them. As part of this analysis, we use the Android application sandbox Droidbox to generate behavioral graphs for each sample and these provide the basis of the development of patterns to aid in identifying it. As a result, we are able to determine if family names have been correctly assigned by current anti-virus vendors. Our results indicate that the traditional anti-virus mechanisms are not able to correctly identify malicious Android applications.

A generic classifier-ensemble approach for biomedical named entity recognition

In named entity recognition (NER) for biomedical literature, approaches based on combined classifiers have demonstrated great performance improvement compared to a single (best) classifier. This is mainly owed to sufficient level of diversity exhibited among classifiers, which is a selective property of classifier set. Given a large number of classifiers, how to select different classifiers to put into a classifier-ensemble is a crucial issue of multiple classifier-ensemble design. With this observation in mind, we proposed a generic genetic classifier-ensemble method for the classifier selection in biomedical NER. Various diversity measures and majority voting are considered, and disjoint feature subsets are selected to construct individual classifiers. A basic type of individual classifier – Support Vector Machine (SVM) classifier is adopted as SVM-classifier committee. A multi-objective Genetic algorithm (GA) is employed as the classifier selector to facilitate the ensemble classifier to improve the overall sample classification accuracy. The proposed approach is tested on the benchmark dataset – GENIA version 3.02 corpus, and compared with both individual best SVM classifier and SVM-classifier ensemble algorithm as well as other machine learning methods such as CRF, HMM and MEMM. The results show that the proposed approach outperforms other classification algorithms and can be a useful method for the biomedical NER problem.

Application of the reporting entity concept and lodgement of special purpose financial statements

This Research Report analyses the application of the reporting entity concept and the adoption of special purpose financial reporting, particularly by entities lodging financial statements with the Australian Securities and Investments Commission (ASIC) and with state-based regulators in Australia’s three most populous states, namely, Consumer Affairs Victoria, NSW Fair Trading and Queensland Office of Fair Trading. This Report does not cover entities that have their equity interests traded in a public market, such as listed companies, and some other entities with ‘public accountability’.

Properties of bamboo fibres produced using an environmentally benign method

The properties of bamboo fibres extracted from raw bamboo plants in an environmentally benign manner were investigated. To reduce environmental impacts of the manufacturing process, microwave, ultra-sonication and enzyme were used to extract the bamboo fibres, avoiding the use of hazardous chemicals. The new method enabled the extraction of single fibres while retaining a certain quantity of lignin in fibre. The retained lignin allowed the fibre to possess UV absorption and antibacterial properties, which will be advantageous for many textile applications.

A hybrid model for named entity recognition using unstructured medical text

Named entity recognition (NER) is an essential step in the process of information extraction within text mining. This paper proposes a technique to extract drug named entities from unstructured and informal medical text using a hybrid model of lexicon-based and rule-based techniques. In the proposed model, a lexicon is first used as the initial step to detect drug named entities. Inference rules are then deployed to further extract undetected drug names. The designed rules employ part of speech tags and morphological features for drug name detection. The proposed hybrid model is evaluated using a benchmark data set from the i2b2 2009 medication challenge, and is able to achieve an f-score of 66.97%.