Oral fluid testing for cannabis: on-site OraLine IV s.a.t. device versus GC/MS

Saliva or "oral fluid" has been presented as an alternative matrix to document drug use. The non-invasive collection of a saliva sample, which is relatively easy to perform and can be achieved under close supervision, is one of the most important benefits in a driving under the influence situation. Moreover, the presence of Delta9-tetrahydrocannabinol (THC) in oral fluid is a better indication of recent use than when 11-nor-Delta9-tetrahydrocannabinol-9-carboxylic acid (THC-COOH) is detected in urine, so there is a higher probability that the subject is experiencing pharmacological effects at the time of sampling. In the first part of the study, 27 drug addicts were tested for the presence of THC using the OraLine IV s.a.t. device to establish the potential of this new on-site DOA detection technique. In parallel, oral fluid was collected with the Intercept DOA Oral Specimen Collection device and tested for THC by gas chromatography mass spectrometry (GC/MS) after methylation for THC (limit of quantification: 1 ng/mL). The OraLine device correctly identified nine saliva specimens positive for cannabis with THC concentrations ranging from 3 to 265 ng/mL, but remained negative in four other samples where low THC concentrations were detected by GC/MS (1-13 ng/mL). One false positive was noted. Secondly, two male subjects were screened in saliva using the OraLine and Intercept devices after consumption of a single cannabis cigarette containing 25mg of THC. Saliva was first tested with the OraLine device and then collected with the Intercept device for GC/MS confirmation. In one subject, the OraLine on-site test was positive for THC for 2 h following drug intake with THC concentrations decreasing from 196 to 16 ng/mL, while the test remained positive for 1.5 h for the second subject (THC concentrations ranging from 199 to 11 ng/mL). These preliminary results obtained with the OraLine IV s.a.t. device indicate more encouraging data for the detection of THC using on-site tests than previous evaluations.     

The inhibiting factors that principal investigators experience in leading publicly funded research

Securing public funding to conduct research and leading it by being a principal investigator (PI) is seen as significant career development step. Such a role brings professional prestige but also new responsibilities beyond research leadership to research management. If public funding brings financial and infrastructure support, little is understood about the inhibiting factors that publicly funded PIs face given the research autonomy offered by publicly funded research. Our study finds that there are three key PI inhibiting factors (1) political and environmental, (2) institutional and (3) project based. Traditional knowledge, skills and technical know-how of publicly funded PIs are insufficient to deal with the increasing managerial demands and expectations i.e. growing external bureaucracy of public funding agencies. Public funding is no longer the ‘freest form of support’ as suggested by Chubin and Hackett (Peerless science: peer review and US science policy. Suny Press, New York, 1990) and the inhibiting factors experienced by publicly funded PIs limits their research autonomy. We also argue that PIs have little influence in overcoming these inhibiting factors despite their central role in conducting publicly funded research.     

It's coming from inside the House (of Commons): Agenda control,accountability, and interest group lobbying in majoritarian parliaments

In majoritarian parliaments, the executive branch typically enjoys an informational advantage over the legislature. In theory, legislators can reduce this asymmetry with information from interest groups. In practice, the government is almost always better informed than the legislature. This article develops a model whereby a politician's access to outside information depends not just on her parliamentary power but on the diffusion of legislative agenda control among political parties—for example, during minority government. Using a new panel data set of 41,619 lobbying communications, it finds interest groups are more likely to communicate with government frontbenchers than with opposition or backbench members. This gap diminishes as agenda control diffuses to opposition parties. It also finds evidence of partisan clustering in lobbying networks during majority government. Strong legislative parties weaken accountability by restricting access to outside information, but this is conditional on the governing party's control over the agenda.     

A fresh look at a policy sciences methodology: collaborative modeling for more effective policy

Collaborative modeling offers a novel methodology that integrates core ideals in the policy sciences. The principles behind collaborative modeling enable policy researchers and decision makers to address interdisciplinarity, complex systems, and public input in the policy process. This approach ideally utilizes system dynamics to enable a multidisciplinary group to explore the relationships in a complex system. We propose that there is a spectrum of possibilities for applying collaborative modeling in the policy arena, ranging from the purely academic through full collaboration among subject matter experts, the general public, and decision makers. Likewise, there is a spectrum of options for invoking collaboration within the policy process. Results from our experiences suggest that participants in a collaborative modeling project develop a deeper level of understanding about the complexity in the policy issue being addressed; increase their agreement about root problems; and gain an appreciation for the uncertainty inherent in data and methods in studying complex systems. We conclude that these attributes of collaborative modeling make it an attractive option for improving the decision-making process as well as on-the-ground decisions.     

Social capital,individual disorders and property offences

This paper examines the relevance to delinquency of social capital that is directly embedded in the relationships that teenagers have with peers, parents, and those in positions of authority and those indirect social capital that teenagers may benefit due their parents' relations with their school or friends. The analysis employs data from the Canadian National Survey of Children. The study shows that personality traits are the most important predictors of property offences. Nevertheless, we also show the importance of social relationships embedded directly in individuals themselves and these are more important than those embedded indirectly through their family. Well connected youth with good friends and quality teachers commit significantly less property offences when controlling for personality traits and parents' social capital.     

Using technology to deliver social protection: exploring opportunities and risks

Providing cash transfers to vulnerable groups reduces vulnerability and chronic poverty; but delivering cash to remote, rural locations can be expensive and insecure. Alternative delivery systems using technology are thus being piloted. This article uses examples from southern Africa to highlight the opportunities and risks involved in using technology to deliver social protection, with particular focus on two schemes in Malawi. It concludes that there is great potential for the use of technology in delivering social protection, especially if employed at a national scale and taking advantage of the full spectrum of uses to ensure cost-efficiency.     

Challenges in technology transfer: an actor perspective in a quadruple helix environment

This article presents and tests a knowledge and technology transfer framework in a quadruple helix environment, from an actor perspective. The Canadian forest products industry provides a unique opportunity for data collection through case studies as it is an industry built on a triple bottom line, which is managed for sustainable progress. By confronting the new framework to 31 professionals, we highlight the role and challenges faced by each helix. Several factors such as culture, time horizon management and the adaption of theory to practice appear to be determinant to improve technology transfer. We see in our work an important contribution to the generalization of knowledge and technology transfer processes in a quadruple helix environment.