Adaptive rate control of dedicated short range communications based vehicle networks for road safety applications

Dedicated Short Range Communication (DSRC) is a promising technique for vehicle ad-hoc network (VANET) and collaborative road safety applications. As road safety applications require strict quality of services (QoS) from the VANET, it is crucial for DSRC to provide timely and reliable communications to make safety applications successful. In this paper we propose two adaptive message rate control algorithms for low priority safety messages, in order to provide highly available channel for high priority emergency messages while improve channel utilization. In the algorithms each vehicle monitors channel loads and independently controls message rate by a modified additive increase and multiplicative decrease (AIMD) method. Simulation results demonstrated the effectiveness of the proposed rate control algorithms in adapting to dynamic traffic load.

Professionals' awareness of operational antibiotic prescribing controls in UK NHS hospitals

In recent years, there have been increasing recommendations for multidisciplinary collaboration between clinical pharmacists and medical microbiologists in an attempt to control the quality (and quantity) of antibiotic prescribing. A questionnaire addressing the utilization of antibiotic prescribing controls was sent to the chief pharmacist and medical microbiologist in UK NHS hospitals. Responses were received from both the chief pharmacist and the medical microbiologist employed in the same hospital from 83 hospitals (a 30% response rate from two independent studies). A high level of disagreement and poor awareness was identified between the interprofessional staff groups regarding the existence of antibiotic formulary (with disagreement between the two groups, or not known by one or both respondents, in 46% of the paired hospitals, N=38) and guideline documents (13%, N=11), performance of antibiotic prescribing audits (40%, N=33), and whether pharmacists (52%, N=43) and medical microbiologists (77%, N=64) monitored physician compliance with antibiotic prescribing control documents. This study has identified poor knowledge of the existence of basic antibiotic prescribing control mechanisms and the role of professional colleagues. It is suggested that there is some way to go before 'Agenda for Change' principles of flexible and collaborative roles are met. © 2004 The Hospital Infection Society. Published by Elsevier Ltd. All rights reserved.

High-accuracy discrimination of Parkinson’s Disease participants from healthy controls using smartphones

Objective: To test the practicality and effectiveness of cheap, ubiquitous, consumer-grade smartphones to discriminate Parkinson’s disease (PD) subjects from healthy controls, using self-administered tests of gait and postural sway. Background: Existing tests for the diagnosis of PD are based on subjective neurological examinations, performed in-clinic. Objective movement symptom severity data, collected using widely-accessible technologies such as smartphones, would enable the remote characterization of PD symptoms based on self-administered, behavioral tests. Smartphones, when backed up by interviews using web-based videoconferencing, could make it feasible for expert neurologists to perform diagnostic testing on large numbers of individuals at low cost. However, to date, the compliance rate of testing using smart-phones has not been assessed. Methods: We conducted a one-month controlled study with twenty participants, comprising 10 PD subjects and 10 controls. All participants were provided identical LG Optimus S smartphones, capable of recording tri-axial acceleration. Using these smartphones, patients conducted self-administered, short (less than 5 minute) controlled gait and postural sway tests. We analyzed a wide range of summary measures of gait and postural sway from the accelerometry data. Using statistical machine learning techniques, we identified discriminating patterns in the summary measures in order to distinguish PD subjects from controls. Results: Compliance was high all 20 participants performed an average of 3.1 tests per day for the duration of the study. Using this test data, we demonstrated cross-validated sensitivity of 98% and specificity of 98% in discriminating PD subjects from healthy controls. Conclusions: Using consumer-grade smartphone accelerometers, it is possible to distinguish PD from healthy controls with high accuracy. Since these smartphones are inexpensive (around $30 each) and easily available, and the tests are highly non-invasive and objective, we envisage that this kind of smartphone-based testing could radically increase the reach and effectiveness of experts in diagnosing PD.