The Use of Aspirin for the Treatment of Malignancies: Review Study

The present review study reviewed the literature for the possible therapeutic roles of aspirin against tumors. Aspirin has various therapeutic properties among which is the anti-inflammatory property. Epidemiological studies have proved the efficacy of long term use of aspirin in reducing the incidence of colorectal cancer by up to 30%, and the cancer risk as well. Although no exact mechanism has been entirely proposed so far to explain the antineoplastic effect of aspirin against cancer, two mechanisms have been under focus, the first is related to its anti-inflammatory properties which are thought to suppress the inflammatory mediators and to inhibit carcinogenic mechanisms, and the other mechanism is through the deactivation of COX2. We would like to raise the possibility for aspirin to be regularly involved in preventive mechanisms

The Definition of Intelligent Computer Aided Software Engineering (I-CASE) Tools

The growing complexity of the software systems being developed and the use of different methodologies indicate the need for more computer support for automating software development process and evolution activity. Currently, Computer-Aided Software Engineering (CASE), which is a set of software systems aimed to support set of software process activities, does this automation. While CASE tools prove its importance to develop high quality software, unfortunately CASE tools doesn’t cover all software development activities. This is because some activities need intellectual human skills, which are not currently available as computer software. To solve this shortcoming, Artificial Intelligence (AI) approaches are the ones that can be used to develop software tools imitating these intellectual skills. This paper presents the definition of Intelligent Computer Aided Software Engineering (I-CASE). The definition encompasses two steps. The first step is a clear decomposition of each basic software development activity to sub activities, and classify each one of them whether it is an intellectual or procedural job. The second step is the addressing of each intellectual (un-automated) one to proper AI-based approach. These tools may be integrated into a package as an Integrated Development Environment (IDE) or could be used individually. The discussion and the next implementation step are reported. Keywords: Software Engineering, CASE tools, Artificial Intelligenc