A taxonomic review of the ancora species group of Graphipterus Latreille (Coleoptera: Carabidae)

The taxonomy of the ancora species group of Graphipterus Latreille (Coleoptera: Carabidae) is reviewed and seven species are recognized, all from southern Africa: Graphipterus ancora Dejean, Graphipterus cordiger Dejean, Graphipterus distinctus Péringuey (new status), Graphipterus fasciatus Chaudoir, Graphipterus fritschi Chaudoir, Graphipterus wahlbergi Boheman (new status), and Graphipterus westwoodi Brême (new status). Diagnostic features are provided for each species and adult specimens of each species are illustrated

Equality - Focus on Sport, Football and Inclusivity

This edition contains features on: • LimbPower – new status as a National Disability Sports Organisation • Football and inclusivity - Dr Dan Parnell • Games Starters volunteering opportunity at the Cerebral Palsy International Sports and Recreation Association’s World Games in 2015 • Sporting Equals - Boxing in Mosques • A selection of recent information • A brief look at some local work • Calendar of forthcoming event

Feature extraction for the analysis of colon status from the endoscopic images

BACKGROUND: Extracting features from the colonoscopic images is essential for getting the features, which characterizes the properties of the colon. The features are employed in the computer-assisted diagnosis of colonoscopic images to assist the physician in detecting the colon status. METHODS: Endoscopic images contain rich texture and color information. Novel schemes are developed to extract new texture features from the texture spectra in the chromatic and achromatic domains, and color features for a selected region of interest from each color component histogram of the colonoscopic images. These features are reduced in size using Principal Component Analysis (PCA) and are evaluated using Backpropagation Neural Network (BPNN). RESULTS: Features extracted from endoscopic images were tested to classify the colon status as either normal or abnormal. The classification results obtained show the features' capability for classifying the colon's status. The average classification accuracy, which is using hybrid of the texture and color features with PCA (τ = 1%), is 97.72%. It is higher than the average classification accuracy using only texture (96.96%, τ = 1%) or color (90.52%, τ = 1%) features. CONCLUSION: In conclusion, novel methods for extracting new texture- and color-based features from the colonoscopic images to classify the colon status have been proposed. A new approach using PCA in conjunction with BPNN for evaluating the features has also been proposed. The preliminary test results support the feasibility of the proposed method

The XMM-Newton Slew Survey: Towards The Whole X-ray Sky and the Rarest X-ray Events

The data collected by XMM-Newton as it slews between pointings currently cover almost half the entire sky, and many familiar features and new sources are visible. The soft-band sensitivity limit of the Slew is close to that of the RASS, and a large-area Slew-RASS comparison now provides the best opportunity for discovering extremely rare high-variability objects.Comment: To appear in Proceedings of "X-ray Astronomy 2009: Present Status, Multi-Wavelength Approach and Future Perspectives", Bologna, Italy, September 7-11, 2009, AIP, eds. A. Comastri, M. Cappi, and L. Angelin

BANGLADESH-EU DEVELOPMENT RELATIONSHIP: MAJOR FEATURES AND EMERGING ISSUES

The paper looks at the current status of Bangladesh-EU relationship, identifies the salient features of the new Cooperation Agreement and looks at some of the important emerging challenges in the context of the evolving Bangladesh-EU relationship. The paper also focuses on the trends and structure of aid from EU to Bangladesh over the past years and Bangladesh - EU trade relations.WTO, Trade, Globalisation, Cooperation