Women over thirty choosing education as a solution to a problem

This study explored motivations of mid-life women over 30 years old who had returned to school. It sought to fmd whether these women returned to solve a problem arising from life events, whether viewing a problem was related to internal or external motivation, whether this perception was related to having greater coping skills, and whether having greater coping was related to seeking support from internal or external sources. This study examined which emotions were most related to viewing a life event as a problem. Finally, it explored the results of previous research of mid-life women in their role as a student. Women (N==83) from three types of institutions volunteered for this study: a university (N==34), a college (N==28), and an adult education centre (N==21). Participants took home a questionnaire package - a I3-page questionnaire and consent form - that were completed and mailed back to the researcher in pre-paid envelopes. Results showed that women over 30 seek education as a solution to a life event problem. External motivation was related to a life event being a problem (p<.005). There was a significant difference in coping scores between institutions. Moods that were related to viewing a life event as problematic were: anger and depressive moods (p<. 001), fatigue and vigor (p<.O 1), and tension/anxiety (p<.05). Mid-life women students' satisfaction in this role was related to being externally motivated. These women sought support from both internal and external sources, rarely had social interactions with peers, and viewed this role as important, yet, temporary in that it will help them change their lives. Implications ofthe results suggest further exploration ofthe roles of anger and depression in motivating women over 30 to learn and finding ways of directing women to use their emotional intelligence to seek out learning.

Perceived Deservingness and the Toleration of Human Rights Violations: The Problem and a Possible Solution

Despite general endorsement of universal human rights, people continue to tolerate specific human rights violations. I conducted a two-part study to investigate this issue. For Part I, I examined whether people tolerated torture (a human rights violation) based on the morality and deservingness of the target. Participants tolerated torture more when the target had committed a highly morally reprehensible transgression. This effect was mediated by the target’s perceived deservingness for harsh treatment, and held over and above participants’ abstract support for the right to humane treatment. For Part II, hypocrisy induction was used in an attempt to reduce participants’ toleration of the torture. Participants were assigned to either the hypocrisy induction or control condition. Unexpectedly, participants who tolerated the torture more in Part I reduced their toleration the most in the control condition, possibly because of consistency and floor effects. Limitations and implications of the findings are discussed.

An Abstract Algebraic Theory of L-Fuzzy Relations for Relational Databases

Classical relational databases lack proper ways to manage certain real-world situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set where each element of the corresponding domain is assigned a membership degree from the real interval [0…1]. But this fuzzy mechanism becomes inappropriate in modelling scenarios where data might be incomparable. Therefore, we become interested in further generalization of fuzzy database into L-fuzzy database. In such a database, the characteristic function for a fuzzy set maps to an arbitrary complete Brouwerian lattice L. From the query language perspectives, the language of fuzzy database, FSQL extends the regular Structured Query Language (SQL) by adding fuzzy specific constructions. In addition to that, L-fuzzy query language LFSQL introduces appropriate linguistic operations to define and manipulate inexact data in an L-fuzzy database. This research mainly focuses on defining the semantics of LFSQL. However, it requires an abstract algebraic theory which can be used to prove all the properties of, and operations on, L-fuzzy relations. In our study, we show that the theory of arrow categories forms a suitable framework for that. Therefore, we define the semantics of LFSQL in the abstract notion of an arrow category. In addition, we implement the operations of L-fuzzy relations in Haskell and develop a parser that translates algebraic expressions into our implementation.