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The article discusses project funded by the Australian Learning and Teaching Council which is designed to establish excellence in science learning and teaching in Australian universities. Six universities across the country were chosen for the initial implementation of the project. According to the article, during the duration of the project, leaders will undergo leadership training to equip them with skills necessary to foster change in classroom practices.

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Introduction. A wide range of prevalence estimates of female sexual dysfunctions (FSD) have been reported.
Aim. Compare instruments used to assess FSD to determine if differences between instruments contribute to variation in reported prevalence.
Main Outcome Measures. Sexual Function Questionnaire combined with Female Sexual Distress Scale (SFQ-FSDS) was our gold standard, validated instrument for assessing FSD. Alternatives were SFQ alone and two sets of simple questions adapted from Laumann et al. 1994.
Methods. A postal survey was administered to a random sample of 356 Australian women aged 20 to 70 years.
Results. When assessed by SFQ-FSDS, prevalence estimates (95% confidence intervals) of hypoactive sexual desire disorder, sexual arousal disorder (lubrication), orgasmic disorder, and dyspareunia were 16% (12% to 20%), 7% (5% to 11%), 8% (6% to 12%), and 1% (0.5% to 3%), respectively. Prevalence estimates varied across alternative instruments for these disorders: 32% to 58%, 16% to 32%, 16% to 33%, and 3% to 23%, respectively. Compared with SFQ-FSDS alternative instruments produced higher estimates of desire, arousal and orgasm disorders and displayed a range of sensitivities (0.25 to 1.0), specificities (0.48 to 0.99), positive predictive values (0.01 to 0.56), and negative predictive values (0.95 to 1.0) across the disorders investigated. Kappa statistics comparing SFQ-FSDS and alternative instruments ranged from 0 to 0.71 but were predominantly 0.44 or less. Changing recall from previous month to 1 month or more in the previous year produced higher estimates for all disorders investigated. Including sexual distress produced lower estimates for desire, arousal, and orgasm disorders.
Conclusions. Prevalence estimates of FSD varied substantially across instruments. Relatively low positive predictive values and kappa statistics combined with a broad range of sensitivities and specificities indicated that different instruments identified different subgroups. Consequently, the instruments researchers choose when assessing FSD may affect prevalence estimates and risk factors they report.

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The aim of this thesis, as set out in the Introduction, is to assess the (seminal) significance of Troeltsch as one who set the agenda for twentieth century theology, particularly modern sociopolitical theology, and whose thought still has a special relevance. The first main chapter deals with the implications of the philosophy of history for theology. The Protestant theological orthodoxy of Troeltsch's time was essential ahistorical: he thought this to be untenable. Theology had to come to terms with the historical method, which was ‘a leaven which transforms everything, and finally bursts all previous forms of theological method.’ This chapter discusses Troeltsch's work concerning the principles, the cultural matrix, and the philosophy of history. The second main chapter examines another main concern of Troeltsch, namely, the status of Christianity vis-a-vis other religions. The background to this was the increasing awareness of the existence of other religions and the question of relativity and universality which this posed. Troeltschfs major response was Die Absolutheit des Christentums in which the ideas of essence, Europeanism, and absolutism were discussed, The third, and longest, chapter looks at the impact of social theory on theology. Sociology gave Troeltsch ‘a new way of seeing things’, and this new perspective is to be seen pre-eminently in The Social Teaching of the Christian Churches. Discussion of this centres on the three main concepts that Troeltsch delineated, compromise, natural law, and church/sect typology.

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The goal of this research is to develop a computer aided diagnostic (CAD) system that can detect breast cancer in the early stage by using microarray and image data. We verified the performance of six well known classification algorithms with various performance matrices. Although we do not suggest a unique classifier algorithm for a CAD system, we do identify a number of algorithms whose performance is very promising. The algorithms performance was validated by 3 images dataset; two have been used for the first time in this experiment. Multidimensional image filtering is adopted for the final data extraction. The image data classification performance is compared with microarray data. Results suggest the most effective means of breast cancer identification in the early stage is a hybrid approach.

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