In this paper, we present a technique for selective capture and replay of program executions. Given an application, the technique allows for (1) selecting a subsystem of interest, (2) capturing at runtime all the interactions between such subsystem and the rest of the application, and (3) replaying the recorded interactions on the subsystem in isolation. The technique can be used in several scenarios. For example, it can be used to generate test cases from users' executions, by capturing and collecting partial executions in the field. For another example, it can be used to perform expensive dynamic analyses off-line. For yet another example, it can be used to extract subsystem or unit tests from system tests. Our technique is designed to be efficient, in that we only capture information that is relevant to the considered execution. To this end, we disregard all data that, although flowing through the boundary of the subsystem of interest, do not affect the execution. In the paper, we also present a preliminary evaluation of the technique performed using SCARPE, a prototype tool that implements our approach.

SUMMARY Compelling evidence links amyloid beta (Aβ) peptide accumulation in the brains of Alzheimer’s disease (AD) patients with the emergence of learning and memory deficits; yet a clear understanding of the events that drive this synaptic pathology are lacking. We present evidence that neurons exposed to Aβ are unable to form new synapses, resulting in learning deficits in vivo. We demonstrate the Nogo receptor family (NgR1-3) act as Aβ receptors mediating an inhibition of synapse assembly, plasticity and learning. Live imaging studies reveal Aβ activates NgRs on the dendritic shaft of neurons triggering an inhibition of calcium signaling. We define T-type calcium channels as a target of Aβ-NgR signaling, mediating Aβ’s inhibitory effects on calcium, synapse assembly, plasticity and learning. These studies highlight deficits in new synapse assembly as a potential initiator of cognitive pathology in AD, and pinpoint calcium dysregulation mediated by NgRs and T-type channels as key components.

Staff on a 28-bed surgical unit in a suburban 461-bed medical center implemented 3 interventions to improve patient satisfaction. This quality improvement study investigated the effects of nurse manager rounding, postdischarge phone follow-up, and improved discharge teaching skills on patients' ratings of their care. HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) survey scores demonstrated a steady upward trend over 18 months following implementation of the changes.

Socio-demographic correlates of screening intention for colorectal cancer C olorectal cancer (CRC) is the most common internal malignancy affecting both men and women, and the second leading cause of cancer-related death in Australia.1-3 Reducing mortality from CRC has therefore become a national priority.2,4 Secondary prevention strategies, namely CRC screening, have been advocated as an effective method for the early identification of CRC. 2,5,6 Randomised controlled trials have reported that the faecal occult blood test (FOBT) screening can reduce mortality rates by 15-33% in average-risk populations.7-11 An examination of Australian data and screening outcomes for FOBT indicate that screening for CRC is comparable in cost to breast cancer screening.12 Based on such evidence, the Australian Health Technology Advisory Committee (AHTAC) report has called for urgent research into the feasibility of FOBT for a population-based CRC screening program. 2Screening participation rates of approximately 70% would be required to achieve sufficient benefits in terms of health and economic costs.13,14 However, the median adherence rate in programs offering FOBT screening is between 40% and 50%. 15Three Australian population-based surveys found that 10-28% of respondents intended to screen for CRC. [16][17][18] Two Australian surveys reported associations between screening intention for CRC and a number of socio-demographic and CRC experience factors. 17,18 However, these studies are limited because they were not designed to address the socio-demographic correlates of screening intention in a systematic and extensive manner.The aims of this study were two-fold: to examine current acceptance of populationbased CRC screening using FOBT; and to conduct a systematic and extensive assessment of the associations between screening intention and socio-demographic and CRC experience factors. MethodsAccording to previous research, [16][17][18] approximately 1,130 eligible participants were required to be contacted, with the estimated screening intention rate of 0.28 (95% CI to be 0.015 on either side) and response rate of 0.75.A random sample of Queensland residents aged 40-80 years was stratified to include equal numbers of men and women and a rural-urban distribution proportional to the population. Of the 3,918 telephone numbers attempted, 2,782 were discarded (2,322 ineligible [not in the age range, etc] and 460 uncontactable). Some 884 interviews were completed from a total of 1,136 eligible participants, resulting in a response