The purpose of this study was to survey expert opinion on the management of low colony counts (< 100,000 colony forming units/mL) of asymptomatic group B streptococcus (GBS) bacteriuria discovered in the first trimester. A survey was sent to the 241 senior obstetricians affiliated with each of the Obstetrics and Gynecology training programs in the United States on July 10, 2002. Surveys received by the deadline (September 1, 2002) were included in the dataset. Eighty-five completed surveys were returned for a response rate of 35%. Seventy-seven percent reported treating low colony counts of asymptomatic GBS bacteriuria in the first trimester at the time of diagnosis, whereas 23% stated they did not treat prior to labor (margin of error 7.5% with 95% confidence). Nine percent stated that their institution had a written protocol for the treatment of low colony counts of asymptomatic GBS bacteriuria. Two physicians indicated that they screened for asymptomatic GBS bacteriuria at 28 weeks. Currently, no generally accepted protocol for the management of low colony counts of asymptomatic GBS bacteriuria exists. This survey indicates that most of the responding senior obstetricians at United States training programs treat low colony counts of asymptomatic GBS bacteriuria in the first trimester.

This paper describes 4 patients with hepatic coma ,resulting from presumed viral hepatitis with massive liver cell necrosis. who were treated with pig liver perfusion alternating with exchange transfusion. None of the patients survived, but two showed a response to thc program of treatment employed, in that thorc was an improvement in the level of consciousness. All patients died of haemorrhagic complications. The contribution of the oxygenator used in the circuit to the development of thrombocytopoenia is discussed, with rcforcnce to other circuits with and without oxygenators. Thrombocytopoenia may also result from disseminated intravascular coagulztion in the paticnt, and from sequestration o f platelets in the liver perfused with heterologous blood.

Purpose This paper aims to investigate the use of the bias ratio as a possible early indicator of financial fraud – specifically in the reporting of hedge fund returns. In the wake of the 2008-2009 financial crisis, numerous hedge funds were liquidated and several cases of financial fraud exposed. Design/methodology/approach Risk-adjusted return metrics such as the Sharpe ratio and Value at Risk were used to raise suspicion for fraud. These metrics, however, assume distributional normality and thus have had limited success with hedge fund returns (a characteristic of which is highly skewed, non-normal return distributions). Findings Results indicate that potential fraud would have been detected in the early stages of the scheme’s life. Having demonstrated the credibility of the bias ratio, it was then applied to several indices and (anonymous) South African hedge funds. The results were used to demonstrate the ratio’s scope and robustness and draw attention to other metrics which could be used in conjunction with it. Results from these multiple sources could be used to justify further investigation. Research limitations/implications The traditional metrics for performance evaluation (such as the Sharpe ratio), assume distributional normality and thus have had limited success with hedge fund returns (a characteristic of which is highly skewed, non-normal return distributions). The bias ratio, which does not rely on normally distributed returns, was applied to a known fraud case (Madoff’s Ponzi scheme). Practical implications The effectiveness of the bias ratio in demonstrating potential suspicious financial activity has been demonstrated. Originality/value The financial market has come under heightened scrutiny in the past decade (2005 – 2015) as a result of the fragile and uncertain economic milieu that still (2015) persists. Numerous risk and return measures have been used to evaluate hedge funds’ risk-adjusted performance, but many fail to account for non-normal return distributions exhibited by hedge funds. The bias ratio, however, has been demonstrated to effectively flag potentially fraudulent funds.

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