Consumers' experiences and values in conventional and alternative medicine paradigms: a problem detection study (PDS)

Background: This study explored consumer perceptions of complementary and alternative medicine (CAM) and relationships with CAM and conventional medicine practitioners. A problem detection study (PDS) was used. The qualitative component to develop the questionnaire used a CAM consumer focus group to explore conventional and CAM paradigms in healthcare. 32 key issues, seven main themes, informed the questionnaire (the quantitative PDS component - 36 statements explored using five-point Likert scales.

Therapeutic Listening as a health intervention strategy: an integrative review

Objective To investigate and evaluate the available evidence in the literature regarding the use of Therapeutic Listening as a health intervention strategy. Method Integrative review conducted on the following databases PubMed, CINAHL, The Cochrane Library, EMBASE, LILACS and APA PsycNET without restrictions of year or type of study. The keywords were combined in different ways to ensure extensive search of primary studies. Results Among the 15 studies on Therapeutic Listening, 33% addressed the effect of training on listening skills, 27% focused on the efficacy of listening as an intervention, 20% explored the experiences lived by the subjects regarding listening and 20% discussed various aspects of listening. Conclusion Most studies have strong to moderate level of evidence, although addressing different aspects related to Therapeutic Listening, they have in common the need for recognition of skills on the part of health professionals, to develop an effective process of listening

The Prehistoric Human Time Scale

We describe a new automatic static analysis for determining upper-bound functions on the use of quantitative resources for strict, higher-order, polymorphic, recursive programs dealing with possibly-aliased data. Our analysis is a variant of Tarjan’s manual amortised cost analysis technique. We use a type-based approach, exploiting linearity to allow inference, and place a new emphasis on the number of references to a data object. The bounds we infer depend on the sizes of the various inputs to a program. They thus expose the impact of specific inputs on the overall cost behaviour. The key novel aspect of our work is that it deals directly with polymorphic higher-order functions without requiring source-level transformations that could alter resource usage. We thus obtain safe and accurate compile-time bounds. Our work is generic in that it deals with a variety of quantitative resources. We illustrate our approach with reference to dynamic memory allocations/deallocations, stack usage, and worst-case execution time, using metrics taken from a real implementation on a simple micro-controller platform that is used in safety-critical automotive applications

Parametric Timing Analisys and Its Appication to Dynamic Voltage Scaling

Embedded systems with real-time constraints depend on a priori knowledge of worst-case execution times (WCETs) to determine if tasks meet deadlines. Static timing analysis derives bounds on WCETs but requires statically known loop bounds. This work removes the constraint on known loop bounds through parametric analysis expressing WCETs as functions. Tighter WCETs are dynamically discovered to exploit slack by dynamic voltage scaling (DVS) saving 60% to 82% energy over DVS-oblivious techniques and showing savings close to more costly dynamic-priority DVS algorithms. Overall, parametric analysis expands the class of real-time applications to programs with loop-invariant dynamic loop bounds while retaining tight WCET bounds.This work was conducted at North Carolina State University and Florida State University; it was supported in part by NSF grants CCR-0208581, CCR-0310860, CCR-0312695, EIA-0072043, CCR-0208892, CCR-0312493 and CCR-0312531.Mohan, S.; Mueller, F.; Root, M.; Hawkins, W.; Healy, C.; Whalley, D.; Vivancos Rubio, E. (2011). Parametric Timing Analisys and Its Appication to Dynamic Voltage Scaling. ACM Transactions on Embedded Computing Systems. 10(2):1-34. doi:10.1145/1880050.1880061S13410