Brain Arachidonic Acid Incorporation and Turnover are not Altered in the Flinders Sensitive Line Rat Model of Human Depression

Brain serotonergic signaling is coupled to arachidonic acid (AA)-releasing calcium-dependent phospholipase A2. Increased brain serotonin concentrations and disturbed serotonergic neurotransmission have been reported in the Flinders Sensitive Line (FSL) rat model of depression, suggesting that brain AA metabolism may be elevated. To test this hypothesis, (14)C-AA was intravenously infused to steady-state levels into control and FSL rats derived from the same Sprague-Dawley background strain, and labeled and unlabeled brain phospholipid and plasma fatty acid concentrations were measured to determine the rate of brain AA incorporation and turnover. Brain AA incorporation and turnover did not differ significantly between controls and FSL rats. Compared to controls, plasma unesterified docosahexaenoic acid was increased, and brain phosphatidylinositol AA and total lipid linoleic acid and n-3 and n-6 docosapentaenoic acid were significantly decreased in FSL rats. Several plasma esterified fatty acids differed significantly from controls. In summary, brain AA metabolism did not change in FSL rats despite reported increased levels of serotonin concentrations, suggesting possible post-synaptic dampening of serotonergic neurotransmission involving AA

Safe Wrappers and Sane Policies for Self Protecting JavaScript

Phung et al (ASIACCS’09) describe a method for wrapping built-in functions of JavaScript programs in order to enforce security policies. The method is appealing because it requires neither deep transformation of the code norbrowser modification. Unfortunately the implementation outlined suffers from a range of vulnerabilities, and policy construction is restrictive and error prone. In this paper we address these issues to provide a systematic way to avoid the identified vulnerabilities, and make it easier for the policy writer to construct declarative policies – i.e. policies upon which attacker code has no side effects

Formal definition of metrics upon the CORBA component model

Abstract. Objective: In this paper we present a formalization of the definition of metrics to assess quality attributes of CORBA components and assemblies. The focus is on the formalization technique, rather than on the evaluation of the metrics themselves. Method: We represent a component assembly as an instantiation of the CORBA Component Model metamodel. The resulting meta-object diagram can then be traversed using Object Constraint Language clauses. With these clauses we construct a formal and executable definition of the metrics. Results: We demonstrate the expressiveness of our technique by formally defining metrics proposed informally by several authors on different aspects of components and assemblies ’ quality attributes. Conclusion: Providing a formal and executable definition of metrics for CORBA components and assemblies is an enabling precondition to allow for independent scrutiny of such metrics, which is, in turn, essential to increase practitioners ’ confidence on predictable quality attributes.