Fast Discrimination of Marijuana using Automated High-throughput Cannabis Sample Preparation and Analysis by Gas Chromatography–Mass Spectrometry

In the United States, federal law and many state laws differentiate between marijuana and industrial hemp through delta-9-tetrahydrocannabinol (THC) levels, whereby the latter is defined as ≤0.3 percent THC on a dry weight basis. Many traditional cannabis identification methods employed by crime laboratories cannot accurately determine total THC quantities in accordance with federal and state regulations, or do so with increased time, labor, and risks of instrument damage. In order to quickly distinguish positive marijuana samples, a method was developed to identify plant material with a total THC level >1%. This novel, automated dispersive pipette extraction (DPX) method uses tip-based technology and an automated liquid handler to enable fast, hands-free selective isolation of THC and its precursors for downstream gas chromatography–mass spectrometry (GC-MS) analysis. The workflow proceeds with no repetitive manual effort and reduced need for instrument maintenance while enabling crime labs to legally identify marijuana through the detection of total THC above 1%. Recovery of THC using the DPX extraction method was 93% at 30 µg/mL and 78% at 500 µg/mL. Similarly, THCA-A recovery was 100% at 30 µg/mL and 74% at 500 µg/mL. Samples evaluated in a blind study (proficiency, hemp, and nonprobative case samples) were all accurately identified as greater than or less than 1% THC, with samples containing <1% THC being identified as “cannabis” and subjected to more discriminative analysis as needed.     

Networked Governance or Just Networks? Local Governance of the Knowledge Economy in Limerick (Ireland) and Karlskrona (Sweden)

The emergence of networked governance of knowledge activities is portrayed as one component of a more general shift from government to governance. This article suggests that a distinction can be drawn between networks and networked governance and provides some insights into the indicators that might help distinguish networked governance from networks. The distinction is applied empirically to emerging forms of local networks in ICT in Limerick and Karlskrona. Differences between the two regions can be conceptualised with reference to the governance role of local networks in steering, setting directions and influencing behaviour. The article identifies the characteristics of network arrangements that appear to be necessary for governance objectives to be satisfied; these are density, breadth and association with values such as trust, mutuality and shared identity. The article shows that there is a need to approach generalised theories of emerging models of governance with sensitivity to cross-regional variations around these characteristics. Claims regarding the emergence of new forms of governance in local spaces may be exaggerated if all types of network arrangements are taken as evidence of a transformation from government to governance.     

Chile’s new entrepreneurs and the “economic miracle”: The invisible hand or a hand from the state?

The Chilean economy has grown by leaps and bounds over the last decade, thanks to a dramatic increase in export activities (and earnings), and the emergence of a more entrepreneurial capitalist class. This article attempts to explain that remarkable phenomenon using original data on entrepreneurs in one of Chile’s most important new export industries, namely, fishing. The central argument of the article is that domestic entre-preneurship flourished during the Pinochet period not because the state “got the economic environment right,” as the neoliberal ideologues are wont to argue, but rather because the Pinochet government behaved, in several important senses, like a “developmental state,”a la the states of East Asia. The analysis also reveals a heretofore ignored role of a developmental state, which is to help produce a new capitalist class culture. In the Chilean case, it was state policy as well as ideology that gave rise to a new generation of entrepreneurs. Rachel A. Schurman is assistant professor in the Energy and Resources Group and the Department of Sociology at the University of California at Berkeley. Her primary interests are in environmental sociology, and the role that natural resource industries play in regional economic development. She is currently working on the changing character of the tuna industry in the Western Pacific afters the Third U.N. Convention on the Law of the Sea. Her next project will be a book on the economic and ecological sustainability of natural resource-based, export-led growth in Chile.     

Future orientation: Age-related differences among adolescent females

The main objective of this study was to examine age-related differences in adolescent orientation to the future. Analysis of the hopes and fears for the future of 124 Israeli Jewish females who were in junior high school, senior high school, and senior year of college examined two alternative hypotheses. One, derived from the 1977 least necessary expenditure principle of Heckhausen, predicted differences among the three age groups, and the other, derived from the 1986 social control and continuity principle of Kohli, predicted no such differences. Results showed greater support for the hypothesis derived from the least necessary expenditure principle. However, sample characteristics (size, one-gender, one cultural group) and the cross-sectional design of this study call for additional examination of age differences and their explanation in terms of the least necessary expenditure and the social control and continuity principles.Received Ph.D. in psychology from Hebrew University, Jerusalem. Major research interest is adolescent transitions in sociocultural context.