Intentions and willingness to use complementary and alternative medicines : what potential patients believe about CAMs

This paper explores the intentions and willingness of a sample of Australian consumers (N = 356) to use Complementary and Alternative Medicine (CAM). Participants considered using CAMs at least once in the next two months and rated the likelihood of certain consequences of CAM use, whether important others would approve, and if barriers would prevent them from using CAMs. People intending to use CAMs (high intenders) were more likely than those low on intention (low intenders) to endorse positive outcomes of CAM use and believe that important others would support their CAM use. High intenders were less likely than low intenders to believe that barriers would prevent use. Low intenders (n = 200) were also asked to consider their response to a free CAM trial. Those willing to accept a trial were more likely than those unwilling to believe that CAMs could improve health and less likely to believe that laziness would prevent use. These results identify important beliefs which may influence people’s decisions to use CAMs.

Wunder über Wunder : neue Relation von dem neu entstandenen der Juden vermeintem Messiam Josvaehel Cams und dess Propheten Nathan Levi [Nathan Benjamin von Gaza] und denen zusammen rottierenden Juden von den zehen Stämmen Israelis ...

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Developmental lessons from the Capricornia Arts Mob : ‘learning to speak with one voice’

The Capricornia Arts Mob also known as CAM is a collective of Aboriginal and Torres Strait Islander visual artists, sculptors, photographers, carvers and writers based in the Rockhampton Region. Its members are eclectic and include an 18 year old through to Elders. CAM has already had a major exhibition in Rockhampton and is submitting work to a range of arts festivals, events and exhibitions. While their achievements are steadily growing and they have been meeting for 18 months, they have been reluctant to incorporate or implement a formalised structure. In learning how to work together there have been tensions and struggles, there has also been the exhilaration of working collaboratively as artists from diverse Indigenous cultures who utilise different mediums. This has resulted in an incredible vibrancy in creative praxis. Members will share some of CAM’s learnings of the developmental process to date and thoughts and dreams about the future.

UbiOpticon : participatory sousveillance with urban screens and mobile phone cameras

In many cities around the world, surveillance by a pervasive net of CCTV cameras is a common phenomenon in an attempt to uphold safety and security across the urban environment. Video footage is being recorded and stored, sometimes live feeds are being watched in control rooms hidden from public access and view. In this study, we were inspired by Steve Mann’s original work on sousveillance (surveillance from below) to examine how a network of camera equipped urban screens could allow the residents of Oulu in Finland to collaborate on the safekeeping of their city. An agile, rapid prototyping process led to the design, implementation and ‘in the wild’ deployment of the UbiOpticon screen application. Live video streams captured by web cams integrated at the top of 12 distributed urban screens were broadcast and displayed in a matrix arrangement on all screens. The matrix also included live video streams of two roaming mobile phone cameras. In our field study we explored the reactions of passers-by and users of this screen application that seeks to inverse Bentham’s original panopticon by allowing the watched to be watchers at the same time. In addition to the original goal of participatory sousveillance, the system’s live video feature sparked fun and novel user-led apprlopriations.

Insights into differential modulation of receptor function by hinge region using novel agonistic lutropin receptor and inverse agonistic thyrotropin receptor antibodies

We report two antibodies, scFv 13B1 and MAb PD1.37, against the hinge regions of LHR and TSHR, respectively, which have similar epitopes but different effects on receptor function. While neither of them affected hormone binding, with marginal effects on hormone response, scFv 13B1 stimulated LHR in a dose-dependent manner, whereas MAb PD1.37 acted as an inverse agonist of TSHR. Moreover, PD1.37 could decrease the basal activity of hinge region CAMs, but had varied effects on those present in ECLs, whereas 13B1 was refractory to any CAMs in LHR. Using truncation mutants and peptide phage display, we compared the differential roles of the hinge region cysteine box-2/3 as well as the exoloops in the activation of these two homologus receptors. (C) 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

The Lune catchment abstraction management strategy. Consultation document September 2003

This consultation document sets out the proposed future licensing strategy for the Lune Catchment Abstraction Management Strategy (CAMS) area. Following the three month consultation period, the Environment Agency will determine the final licensing strategy and publish it in the CAMS document. The strategy will provide an indication of whether new abstraction licences are likely to be available and the conditions that should be expected on licences. Water plays a vital role in the Lune catchment, providing water for public supply, supporting recreation, such as angling and canoeing, and providing sustainable flows to preserve numerous designated sites. There is minimal abstraction throughout much of the catchment, apart from the lower reaches of the River Lune. The document is split into five sections relating to the CAMS process. Sections 1 to 4 outline the CAMS process, and Section 5 outlines the proposed licensing strategy for the Lune CAMS areas. It is important to note that this strategy deals with groundwater and surface water abstractions separately; Sections 4 and 5 are split to differentiate between the surface water and groundwater results and strategy.

CLADP - THE CAMBRIDGE LINEAR ANALYSIS AND DESIGN PROGRAMS USER REFERENCE MANUAL (4TH ISSUE: APRIL 1983).

CLADP is an engineering software program developed at Cambridge University for the interactive computer aided design of feedback control systems. CLADP contains a wide range of tools for the analysis of complex systems, and the assessment of their performance when feedback control is applied, thus enabling control systems to be designed to meet difficult performance objectives. The range of tools within CLADP include the latest techniques in the field whose central theme is the extension of classical frequency domain concepts (well known and well proven for single loop systems) to multivariable or multiloop systems, and by making extensive use of graphical presentation information is provided in a readily understood form.

Application of the characteristic CIP method to a shallow water model on the sphere

Semi-implicit algorithms are popularly used to deal with the gravitational term in numerical models. In this paper, we adopt the method of characteristics to compute the solutions for gravity waves on a sphere directly using a semi-Lagrangian advection scheme instead of the semi-implicit method in a shallow water model, to avoid expensive matrix inversions. Adoption of the semi-Lagrangian scheme renders the numerical model always stable for any Courant number, and which saves CPU time. To illustrate the efficiency of the characteristic constrained interpolation profile (CIP) method, some numerical results are shown for idealized test cases on a sphere in the Yin-Yang grid system.

Packet classification by multi-level cutting of the classification space: An algorithmic-architectural solution for IP packet classification in next generation networks

Traditionally, the Internet provides only a “best-effort” service, treating all packets going to the same destination equally. However, providing differentiated services for different users based on their quality requirements is increasingly becoming a demanding issue. For this, routers need to have the capability to distinguish and isolate traffic belonging to different flows. This ability to determine the flow each packet belongs to is called packet classification. Technology vendors are reluctant to support algorithmic solutions for classification due to their non-deterministic performance. Although CAMs are favoured by technology vendors due to their deterministic high lookup rates, they suffer from the problems of high power dissipation and high silicon cost. This paper provides a new algorithmic-architectural solution for packet classification that mixes CAMs with algorithms based on multi-level cutting the classification space into smaller spaces. The provided solution utilizes the geometrical distribution of rules in the classification space. It provides the deterministic performance of CAMs, support for dynamic updates, and added flexibility for system designers.

Packet classification by multi-level cutting of the classification space

Traditionally, the Internet provides only a “best-effort” service, treating all packets going to the same destination equally. However, providing differentiated services for different users based on their quality requirements is increasingly becoming a demanding issue. For this, routers need to have the capability to distinguish and isolate traffic belonging to different flows. This ability to determine the flow each packet belongs to is called packet classification. Technology vendors are reluctant to support algorithmic solutions for classification due to their nondeterministic performance. Although content addressable memories (CAMs) are favoured by technology vendors due to their deterministic high-lookup rates, they suffer from the problems of high-power consumption and high-silicon cost. This paper provides a new algorithmic-architectural solution for packet classification that mixes CAMs with algorithms based on multilevel cutting of the classification space into smaller spaces. The provided solution utilizes the geometrical distribution of rules in the classification space. It provides the deterministic performance of CAMs, support for dynamic updates, and added flexibility for system designers.