An integrative physiological model of the human circulatory system coupled with numerous subsystems is presented. The development of a human simulator to allow real-time interpretation of sensor data from home health monitoring devices and other biomedical sensors can be achieved using an integrated two model environment. This approach combines a foreground continuous time circulatory system mo...

Learning concepts via instruction and expository texts is an important problem for modeling human learning and for making autonomous AI systems. This paper describes a computational model of the self-explanation effect, whereby conceptual knowledge is repaired by integrating and explaining new material. Our model represents conceptual knowledge with compositional model fragments, which are used...

BACKGROUND AND OBJECTIVE Numerical modeling of biological structures would be very helpful tool to analyze hundreds of human body phenomena and also diseases diagnosis. One physiologic phenomenon is blood circulatory system and heart hemodynamic performance that can be simulated by utilizing lumped method. In this study, we can predict hemodynamic behavior of one artery of circulatory system (a...

Background & Aim: Free radicals play a crucial role in the development of tissue damage in various human diseases such as cancer, aging, neurodegenerative disease, malaria and arteriosclerosis, and pathological events in living organisms. Antioxidants may have an important role in the prevention of these diseases. The aim of this study is to evaluate potency of scavenging of DPPH free radicals ...