An event based approach for quantifying the effects of securities fraud in the IT industry

Detecting the incidence and impact of illegal insider trading is a difficult process since access to the actual trading records of insiders that overlap precisely with fraudulent events is difficult. This paper provides a case study of a specific IT stock in Canada that was successfully prosecuted in the Canadian court system for market manipulation and illegal insider trading violations. The study provides a quantification of the impact of insider trading activities by the President directly through his own account or through accounts under his control, and illustrates the impact of some off-exchange transactions by the impugned parties. Overall, the costs of the insider trading violations are quite high, given the significant wealth effects produced by the events surrounding this case.     

Ecological patterns of fish distribution in the Slave River Delta region,Northwest Territories,Canada, as relayed by traditional knowledge and Western science

Indigenous community members along the Slave River in Canada have voiced their concerns for the health of ecosystems under pressure from resource extraction, hydroelectric development and global climate change. We present a test case of traditional knowledge and scientific results about the spawning and migration patterns of fish in the Slave River and Delta. This dual knowledge system approach elucidates the broader connectivity of local study regions and can improve monitoring programmes by extending beyond the usual context/confines of the present or recent past, increasing the spatial and temporal range of system information.     

Rating formats and rater training redux: A context-specific approach for enhancing the effectiveness of performance management.

In this paper, we critically examine previous research on rating formats and rater training in the context of performance appraisal. Historically, the goal of this body of research has been to search for ways of maximizing the psychometric quality of performance evaluation data. Our central thesis is that there are a number of avenues for broadening this research. Accordingly, we propose a conceptual model that hopefully serves as a conceptual framework for future work in these 2 traditional performance appraisal research streams. For example, both rating formats and rater training research may be useful for facilitating and improving the feedback and employee development process, as well as reducing the potential existence of rater biases. In addition, format and training research may focus upon ways of enhancing both rater and ratee reactions to the appraisal system. A key feature of our model is the integration of national culture as a moderator of the relations between specific formats, training programs, and various outcomes. We consider both the national culture of raters and ratees, and focus specifically on comparisons between Western and East Asian cultures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Systemic inflammatory load in humans is suppressed by consumption of two formulations of dried,encapsulated juice concentrate

Chronic inflammation contributes to an increased risk for developing chronic conditions such as cardiovascular disease, diabetes, and cancer. A high “inflammatory load” is defined as elevated inflammation markers in blood or other tissues. We evaluated several markers of systemic inflammation from healthy adults and tested the hypothesis that two formulations of encapsulated fruit and vegetable juice powder concentrate with added berry powders (FVB) or without (FV) could impact markers of inflammatory load. Using a double‐blind, placebo‐controlled approach, 117 subjects were randomly assigned to receive placebo, FV, or FVB capsules. Blood was drawn at baseline and after 60 d of capsule consumption. We measured inflammatory markers (high sensitivity C‐Reactive Protein, Monocyte Chemotactic Protein‐1, Macrophage Inflammatory Protein 1‐β, and Regulated upon Activation, Normal T cell Expressed and Secreted), superoxide dismutase, and micronutrients (β‐carotene, vitamin C, and vitamin E). Results showed Monocyte Chemotactic Protein‐1, Macrophage Inflammatory Protein 1‐β, and RANTES levels were significantly reduced and superoxide dismutase and micronutrient levels were significantly increased in subjects consuming both FV and FVB, relative to placebo. Data suggest a potential health benefit by consuming either formulation of the encapsulated juice concentrates through their anti‐inflammatory properties.     

Control of reflectance of liquid droplets by means of electrowetting

It has recently been noted that hemispherical structures have useful reflection characteristics. We describe a new application that makes use of these characteristics by controlling the reflectance of a surface composed of an array of hemispherical liquid droplets. In this system the reflectance state is spatially controlled through the use of electrowetting to alter the shape of an array of droplets. This may have an application in the field of electronic image displays.     

Congruity theory and linear models of attitude change.

Evaluated C. E. Osgood and P. H. Tannenbaum's (see record 1955-08361-001) congruity model of attitude change, a regression model derived from the Osgood and Tannenbaum model, and D. R. Heise's (see record 1969-08323-001) 3 general linear models of attitude change, using data obtained from 208 undergraduates. 104 Ss rated 8 3-word (subject, verb, object) sentences 1st, and then rated the individual words. The other Ss rated the individual words 1st. The mean ratings for the 2 groups were compared to obtain the attitude change for each element, and the models were used to predict the change which resulted from the combination of the words into a sentence. Sex differences were found in mean attitudinal evaluations, and the inclusion of higher-order interaction terms increased the predictability of attitude ratings for females more than for males. Heise's Model III was the best predictor of attitude change, followed by his Model II and the regression model derived from the Osgood and Tannenbaum model. The Osgood and Tannenbaum model gave poor prediction of the mean attitudinal changes obtained. (French summary) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Cloud Rise Model for Dust and Soot from High Explosive Detonations

Traditionally, the evolution and rise of the dust and soot cloud resulting from high explosive detonations has been divided into two stages, with specific models used for each stage. In this study, based on the assumption that cloud formation progresses smoothly from stage to stage, a simple cloud rise model has been developed based on three sets of field tests of high explosive detonations (25×10⁻³ to 4.5 kg of detasheet and C‐4). This model provides a good fit to observations and measurements of clouds from detonations both at ground level and 1 m above the ground. It was also found that the detonation height has a noticeable influence on cloud rise before reaching its effective height, but the influence is minor on the subsequent cloud rise.     

Effects of frame-of-reference training and information configuration on memory organization and rating accuracy.

It was hypothesized that encoding conditions would substitute for, or neutralize, the effects of frame-of-reference (FOR) training on rating accuracy by encouraging or impeding the person organization of behavior in memory. Undergraduates (N?=?121) were trained with FOR or control procedures, observed videotaped manager performance in a blocked or a mixed order, rated the managers on 3 performance dimensions, and free-recalled target performance vignettes. FOR training and blocked information improved rating accuracy and led to person-based recall; however, person organization was uncorrelated with accuracy. Results are discussed in terms of R. S. Wyer and T. K. Srull's (1989) model of person memory and judgment from which it is proposed that memory organization for behaviors may be unnecessary for rating accuracy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Adaptive decentralized control under non-uniqueness of the optimal control

We study the problem of decentralization of flow control in packet-switching networks under the isarithmic scheme. An incoming packet enters the network only if there are permits available at the entry port when it arrives. The actions of the controllers refer to the routing of permits in the network and the control variables are the corresponding probabilities. We study the behavior of adaptive algorithms implemented at the controllers to update these probabilities and seek optimal performance. This problem can be stated as a routing problem in a closed queueing network. The centralized version of a learning automation is a general framework presented along with the proof of asymptotic optimality. Decentralization of the controller gives rise to non-uniqueness of the optimal control parameters. Non-uniqueness can be exploited to construct asymptotically optimal learning algorithms that exhibit different behavior. We implement two different algorithms for the parallel operation and discuss their differences. Convergence is established using the weak convergence methodology. In addition to our theoretical results, we illustrate the main results using the flow control problem as a model example and verify the predicted behavior of the two proposed algorithms through computer simulations, including an example of tracking.The work of this author was partially supported by a grant from the Canadian Institute for Telecommunications Research under the NCE program of the Government of Canada, and partially supported by NSERC grant WFA 0139015 and FCAR-Québec grant 95-NC-1375.The work of this author was supported by a grant from the CITR under the NCE program of the Government of Canada.     

Effects of group size and procedural influence on consensual judgments of quantity: The examples of damage awards and mock civil juries.

Six-person mock civil juries awarded significantly larger amounts for damages than did 12-person juries, and individuals preferred even larger average awards. A reversal of the "deep-pockets bias" observed earlier, an explanation involving temporal fluctuation in normative standards, during the time interval between the studies, was supported by independent data showing temporal trends in actual civil trial awards. A computational model of consensus that assumed a strong majority of those members with the most similar (closest) personal preferences decided on the median of their preferences accurately predicted award magnitude. Computer simulations explored the effects of critical faction size (majority, etc.) and location within the group, features that might in turn depend on task environment, cultural dynamics, and social context. (PsycINFO Database Record (c) 2010 APA, all rights reserved)