Are computerised profiling tools effective in support of AML procedures as required by MLROs and compliance officers in a banking sector context? An inquiry into determining effectiveness despite ambiguity.

This dissertation aims to contribute to the emerging field of automated behavioural profiling tools/technology (AMLPT) as applied to anti-money laundering (AML) and fraud detection. We research the effectiveness of the use of profiling technology within the context of compliance Organisations located in large and mediumsized retail and commercial banks within the City of London. The phenomena of profiling and money laundering are quite complex. Subsequently, their study encompasses several academic disciplines: language use, artificial intelligence, categorisation, and the managerial domains of organisational behaviour, networking, and innovation. Using an interpretivist approach, we examine the AMLPT artefact's effectiveness through the use of Rogers' Diffusion of Innovation (Dol) theory, utilising a pluralist methodology that encompasses two case studies for contextual understanding of the domain and survey-based field work. In furthering our understanding of innovation within organisations, we utilise Organisational Effectiveness (OE) theory to provide an analytical framework for the fieldwork and measurement methodology. The proliferation of AMLPT raises a variety of issues arguably more important than market share and technical functionality, particularly such issues as data privacy and the potential for the egregious use of personal or proprietary information (Schwartau 1994; Jennings and Fena 2000; Lyon 2003). Furthermore, what was once perceived as "normal" identity management, data security and data privacy practice may no longer be acceptable in the application of next generation AMLPT in risk-aversive, highly sensitive global financial contexts. Moreover, are the cost and Organisational demands inherent in deploying AMLPT proportionate to the desired result (Bisantz and Ockerman 2002; Vavpotic and Bajec 2009). In understanding the effectiveness of AMLPT, we look beyond the traditional methods of information systems evaluation, and draw on other IS reference disciplines such as IS success and user competence, along with a variety of Organisational effectiveness measures, and their applicability in further defining effectiveness through measures of innovativeness. Critically, we look to examine innovation in an Organisational context, rather than the more traditional domain of individual innovation, the core construct of Rogers' original (1962) work on diffusion

Doxycycline for Malaria Chemoprophylaxis and Treatment: Report from the CDC Expert Meeting on Malaria Chemoprophylaxis

Doxycycline, a synthetically derived tetracycline, is a partially efficacious causal prophylactic (liver stage of Plasmodium) drug and a slow acting blood schizontocidal agent highly effective for the prevention of malaria. When used in conjunction with a fast acting schizontocidal agent, it is also highly effective for malaria treatment. Doxycycline is especially useful as a prophylaxis in areas with chloroquine and multidrug-resistant Plasmodium falciparum malaria. Although not recommended for pregnant women and children < 8 years of age, severe adverse events are rarely reported for doxycycline. This report examines the evidence behind current recommendations for the use of doxycycline for malaria and summarizes the available literature on its safety and tolerability

Expert consensus document:Cholangiocarcinoma: current knowledge and future perspectives consensus statement from the European Network for the Study of Cholangiocarcinoma (ENS-CCA)

Cholangiocarcinoma (CCA) is a heterogeneous group of malignancies with features of biliary tract differentiation. CCA is the second most common primary liver tumour and the incidence is increasing worldwide. CCA has high mortality owing to its aggressiveness, late diagnosis and refractory nature. In May 2015, the "European Network for the Study of Cholangiocarcinoma" (ENS-CCA: www.enscca.org or www.cholangiocarcinoma.eu) was created to promote and boost international research collaboration on the study of CCA at basic, translational and clinical level. In this Consensus Statement, we aim to provide valuable information on classifications, pathological features, risk factors, cells of origin, genetic and epigenetic modifications and current therapies available for this cancer. Moreover, future directions on basic and clinical investigations and plans for the ENS-CCA are highlighted

Spectral analysis of replicated biomedical time series (with discussion).

Standard methods of spectral analysis are adapted to the interpretation of biomedical time series data with replication across subjects. The methodology is applied to two sets of data consisting of concentrations of luteinizing hormone in serial blood samples. For such data, the between-subject variability in periodogram ordinates at a given frequency is typically larger than would be implied by the usual asymptotic distribution theory for single series. We interpret this to mean that the underlying spectrum of the stochastic process representing the time variation in hormone concentration varies randomly between subjects. We describe simple random effects models to account for this extra variability and develop likelihood-based methods of inference, using a Monte Carlo integration method to evaluate the likelihood function. For our first data set, which comprises hormone concentrations in blood samples taken from eight subjects at 1 min intervals for 1 h, our model captures the qualitative behaviour of the between-subject variation in the spectrum. We conclude that there is a genuine high frequency component of variation in hormone concentrations and that the amplitude and frequency of this high frequency component vary between subjects. Our second data set relates to a similar sampling protocol, except that each subject is sampled before and after hormone replacement therapy. We conclude that this intervention has a significant effect on the spectrum