Queering religious texts: An exploration of British non-heterosexual Christians’ and Muslims’ strategy of constructing sexuality-affirming hermeneutics.

Religious authority figures often use religious texts as the primary basis for censuring homosexuality. In recent years, however, non-heterosexual Christians and Muslims have begun to contest the discursively produced boundary of sexual morality.Drawing upon two research projects on non-heterosexual Christians and Muslims, this article explores the three approaches embedded in this strategy.While acknowledging that homosexuality is indeed portrayed negatively in some parts of religious texts, the participants critique traditional hermeneutics by highlighting its inaccuracy and socio-cultural specificity, and arguing for a contextualized and culturally relevant interpretation. They also critique the credibility of institutional interpretive authority by highlighting its inadequacy and ideology, and relocating authentic interpretive authority to personal experience. Finally, they recast religious texts to construct resources for their spiritual nourishment.This strategy generally reflects the contemporary western religious landscape that prioritizes the authority of the self over that of religious institution.

Further exploration of the Dendritic Cell Algorithm: antigen multiplier and time windows

As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performance in the field of anomaly detection. This paper presents the application of the DCA to a standard data set, the KDD 99 data set. The results of different implementation versions of the DCA, including antigen multiplier and moving time windows, are reported. The real-valued Negative Selection Algorithm (NSA) using constant-sized detectors and the C4.5 decision tree algorithm are used, to conduct a baseline comparison. The results suggest that the DCA is applicable to KDD 99 data set, and the antigen multiplier and moving time windows have the same effect on the DCA for this particular data set. The real-valued NSA with contant-sized detectors is not applicable to the data set. And the C4.5 decision tree algorithm provides a benchmark of the classification performance for this data set.

Exploration of the dendritic cell algorithm with the duration calculus

As one of the newest members in Articial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to the eld of anomaly detection. However, real-time detection, a new challenge to anomaly detection, requires improvement on the real-time capability of the DCA. To assess such capability, formal methods in the research of real-time systems can be employed. The ndings of the assessment can provide guideline for the future development of the algorithm. Therefore, in this paper we use an interval logic based method, named the Duration Calcu- lus (DC), to specify a simplied single-cell model of the DCA. Based on the DC specications with further induction, we nd that each individual cell in the DCA can perform its function as a detector in real-time. Since the DCA can be seen as many such cells operating in parallel, it is potentially capable of performing real-time detection. However, the analysis process of the standard DCA constricts its real-time capability. As a result, we conclude that the analysis process of the standard DCA should be replaced by a real-time analysis component, which can perform periodic analysis for the purpose of real-time detection.