22 Year-Old Woman with Polypoidal Choroidal Vasculopathy (PCV) Treated with Half-Dose Verteporfin (Visudyne) & Ranibizumab (Lucentis)

Poster Presentation: no. PO-153

The factors affecting the quality of learning process and outcome in virtual reality environment for safety training in the context of mining industry

The ultimate aim of training is to improve task performance towards expert level. Novices and experts differ in their capability to understand and make sense of sensory information (for example, perception on environmental hazard). Computer-aided training, from online course to immersive simulation such as Virtual Reality (VR) [1]. van Wyk and de Villiers [2] define VR-based training environments as real-time computer simulations of the real world, in which visual realism, object behavior and user interaction are essential elements . The use of VR-based training environments assumes that Human-Machine interaction stimulates learning processes through better experiencing and improved memorization, leading to a more effective transfer of the learning outcomes into workplace environments. However, there are many human factors (internally and externally), which have impact on the quality of the training and learning process which need to be identified and investigated. The present study was conducted with Coal Services Pty Ltd, a pioneering training provider for the coal mining industry in NSW, Australia. The research focussed on 288 rescuers and the specific training programs developed for them. In this article, initially factors affecting the quality of the training and learning process for underground mine rescuers have been identified and then measured by using pre- and post-training questionnaires. We attempted to determine how much of the trainees\u27 perceived learning could be explained by pre-training (9 in total) and post-training (16 in total) factors. The relatively small size of the sample (288 observations for 17 predictors) and the high level of correlation between variables led us to Principal Component Analysis (PCA). Principle Component Analysis (PCA) has been used to investigate the underlying relationship among different variables. This technique results in factor reduction based on hidden relationships. Based on the nature of the pre-training factors mostly contributing to each component we have used the first 3 Components to create 3 new aggregated variables: Positive State of Mind (Component 1), Negative State of Mind (Component 2) and Technology Experience (Component 3). Similarly, based on the nature of the post-training factors mostly contributing to each component we have used the first 3 Components to create 3 new aggregated variables: Positive Learning Experience (Component 1), Negative Learning Experience (Component 2) and Learning Context (Component 3)

Research Note

In this study, we focus on the factors that influence online innovation community members\u27 continued participation in the context of open source software development (OSSD) communities. Prior research on continued participation in online communities has primarily focused on social interactions among members and benefits obtained from these interactions. However, members of these communities often play different roles, which have been examined extensively, albeit in a separate stream of research. This study attempts to bridge these two streams of research by investigating the joint influence of community response and members\u27 roles on continued participation. We categorize OSSD community members into users and modifiers and empirically examine the differential effects of community response across these roles. By analyzing a longitudinal data set of activities in the discussion forums of more than 300 OSSD projects, we not only confirm the positive influence of community response on members\u27 continued participation but also find that community response is more influential in driving the continuance behavior of users than that of modifiers. In addition, this research highlights the importance of modifiers, a key subgroup of OSSD participants that has been largely overlooked by prior research. © 2013, INFORMS

Imaging Evaluation of Collaterals in the Brain: Physiology and Clinical Translation

The cerebral collateral circulation is a network of blood vessels designed to preserve cerebral blood flow when primary routes fail. Though recognized for hundreds of years, the beneficial influence of collateral flow has now gained significant attention due to widely available, rapid, and real-time non-invasive imaging techniques. Multimodal CT and MRI based techniques, with angiographic and perfusion assessments, are becoming mainstays in the care of patients with ischemic brain disease. These methods allow for precise delineation of the structural and functional aspects of cerebral blood flow and as such provide valuable information that can inform the diagnosis and treatment of cerebral ischemia, in both the acute and chronic setting