Bleeding and Thromboembolic Events in Patients with Non-Valvular Atrial Fibrillation Treated with Apixaban or Rivaroxaban.

Rivaroxaban and apixaban are effective oral anticoagulants, but their usage has been associated with an increased risk of bleeding events. This study examined the bleeding and thromboembolic events of rivaroxaban and apixaban. Medical records from 114 patients (rivaroxaban = 64, apixaban = 80) treated for stroke prevention in atrial fibrillation at a tertiary hospital in Malaysia were retrospectively reviewed.

Correction to: A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model.

Following publication of the original article [1], the authors noted a typesetting mistake in the placement and numbering of equations (1) to (8).

A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model.

In this paper, a new approach is proposed for localization and segmentation of the optic disc in human retina images. This new approach can find the boundary of the optic disc by an initial fuzzy clustering means algorithm. The proposed approach uses active contour model evolution based on a fuzzy clustering algorithm.

Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?

The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors from sociodemographic characteristics and attitudes in predicting speeding behavior among drivers on Malaysia federal roads.

A novel method for retinal optic disc detection using bat meta-heuristic algorithm.

Normally, the optic disc detection of retinal images is useful during the treatment of glaucoma and diabetic retinopathy. In this paper, the novel preprocessing of a retinal image with a bat algorithm (BA) optimization is proposed to detect the optic disc of the retinal image. As the optic disk is a bright area and the vessels that emerge from it are dark, these facts lead to the selected segments being regions with a great diversity of intensity, which does not usually happen in pathological regions.