Objective: Patients with cancer (namely advanced cancer) exhibit poorly functionating immune system. It is now widely accepted that dynamics of changes, along the certain types of alterations in structures of lipid/protein themselves of immune system cells and blood plasma, plays a critical role in the maintenance of the immune status of organism. Biomarkers for prediction of disease outcome ar...

Modeling and simulation (M&S) techniques provide a platform for knowledge integration and hypothesis testing to gain insights into biological systems that would not be possible a priori. Agent-based modeling (ABM) is an M&S technique that focuses on describing individual components rather than homogenous populations. This tutorial introduces ABM to systems pharmacologists, using relevant case s...

The economic reform and open door policy had a profound impact on Iran's urbanization. Because human-environment interactions are so complex, Agent Based Models (ABM) provides a powerful new set of tools to scholars with diverse background. ABM strength lies in their ability of combining spatial modeling techniques with biophysical and socioeconomic models. In this study, two Landsat TM images ...

Validation of simulation models is extremely important. It ensures that the right model has been built and lends confidence to the use of that model to inform critical decisions. Agent-based models (ABM) have been widely deployed in different fields for studying the collective behavior of large numbers of interacting agents. However, researchers have only recently started to consider the issues...

Research in experimental psychopathology and cognitive theories of anxiety highlight threat-related attention biases (ABs) and underpin the development of a computer-delivered treatment for anxiety disorders: attention-bias modification (ABM) training. Variable effects of ABM training on anxiety and ABs generate conflicting research recommendations, novel ABM training procedures, and theoretica...

In this paper, we explore three alternatives for developing a biometric authentication software system. The first approach we will consider is a computer vision technique optimized by Genetic and Evolutionary Feature Extraction (GEFE); the second is Angle Based Metrics (ABM); and the third is Angle Based Metrics combined with Genetic and Evolutionary Computation (ABM + GEC). Each of these techn...

Agent-based models (ABM) are examples of complex adaptive systems, which can be characterized as those systems for which no model less complex than the system itself can accurately predict in detail how the system will behave at future times. Consequently, the standard tools of policy analysis, based as they are on devising policies that perform well on some best estimate model of the system, c...

In this manuscript global research trends are analyzed in agent-based modeling (ABM), which is applied to face the inherent complexity of agricultural systems. The search was carried out Scopus, during period 2009-2019, and VOSviewer© software used as a bibliometric tool. results show that ABM under two approaches: policy evaluation, three thematic areas: systems computation sciences, geography...