This flash animation demonstrates the expansion of a 2 x 2 determinant by the basket weave method. It includes audio instruction and a short self-test at the end of the animation.

This flash animation demonstrates the expansion of a 2 x 2 determinant by the basket weave method. It includes audio instruction and a short self-test at the end of the animation.

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Adolescents are especially vulnerable to image-based messages, which place them directly in line with the lifestyle messages presented in numerous alcohol advertisements. Research has shown that teenagers encounter alcohol advertisements from a variety of sources, prompting concern over the consequences of exposure and the risks associated with teen drinking. Warning messages contained within these alcohol advertisements are often vague in their wording and targeted to promote responsible drinking among adults, making them wholly inadequate for teen deterrence. This thesis explores the problems with current alcohol responsibility messages when dealing with teens, and proposes the development of new, modified messages, that are more direct and consequence-based. The Elaboration Likelihood Model of persuasion was used to describe teen processing of alcohol warning messages, and eye-tracking technology was used to determine how this processing can be examined visually. The purpose of this research was to aid in the development of new messages that have been modified by type size, type contrast, and message content (a 2x2x2 factorial design). Results indicated that modifying message content to include direct language and a consequence enhances visibility and attention to alcohol responsibility messages. Larger type and higher contrast can be applied to the message to further enhance visibility, but the change in attention for these factors was shown to be minimal and nonsignificant. Overall, the greatest power lies in changing the message itself, irrespective of all other variables.

Complexity underlying life is largely governed by the dynamics of interaction within and between living and nonliving entities. Evolutionary strategy games are extensively used in modelling and understanding complex behaviors in a wide range of fields including theoretical biology, social interactions, economics, politics, defense and security. Strategy games are said to distill the key elements of interactions be- tween real-world entities and organizations - one of the challenges lies in determining the mapping of complex real life situation dynamics to that of a certain game. That leads us to the two major research questions outlined below. In this thesis, we are taking evolutionary games a step further to investigate the interplay between local and global dynamics, where local dynamics are repre- sented by locally pairwise interactions among the population's players governed by the Iterated Prisoner's Dilemma game. To represent the global dynamics, two main modelling ideas are proposed, in the first model; a mixed evolutionary game is in- troduced where players are competing globally on the population level in a minority game. The interplay between local and global dynamics in this model represents the interplay between different scopes of competition between the same players. Sec- ondly, we introduce a model for studying the effect of sharing global information concerning a population of players, shedding light on how global information can alter the emerging dynamics of local interactions. Furthermore, the thesis addresses the question of whether games - with different dynamics - have unique signatures (footprints) that can be used in recognizing and differentiating among them, and whether these footprints are consistent along the evolutionary path of these games. We show here that by building winning networks between players, and determining network motifs of these winning networks, we can obtain motifs' counts signals that are sufficient to categorize and recognize the game's utility matrix used by the players. We also demonstrate that these footprints - motifs' counts - are consistent along the evolutionary path of the games, due to a hyper-cyclic behavior that exists between strategies. Finally, we show that this approach is capable of identifying whether a certain population is driven by local dynamics or both local and global dynamics using the proposed mixed game.