drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. mathematical modelling is one of the possible solutions to speed up this process. in this study, we have presented box-jenkins model, to predict the vasorelaxant activity (pec50) of a set of benzopyrane compounds. we used the hyperchem sof...

the gravimetric method is one of the most effective ways for the detection of subsurface structures such as tunnels, faulting, mineral deposits with the required density difference, especially in areas with rough topography and tectonized formations. it is possible to provide a more suitable model for better interpretation of the gravity anomaly. inverse modeling of gravity data is the most eff...

In our ongoing attempt to create and support workable “rules of play” for effective, goal-driven conversations in the context of collaborative modeling, we have now reached a stage in which a first operational setup for such ‘dialogue games’ has been developed and tested. In this paper we present the basic, generic structure of a game-like procedure description, based on a prototype game for co...

load modeling is widely used in power system studies. two types of modeling, namely, static and dynamic, are employed. the current industrial practice is the static modeling. static modelss are algebraic equations of active and reactive power changes in terms of voltage and frequency deviations. in this paper, a component based on static modeling is employed in which the aggregate model is deri...

facing the issues with structural complexity about which stakeholders have different views, has increasingly led to the use of soft systems methodology (ssm) in solving managerial problems. moreover, the flaws of this methodology in the stages of modeling and feasible, desirable changes, have provided the motivation for applying cognitive map (cm) and system dynamics in the ssm modeling. presen...

Previous studies imply a profound residual mortality risk following successful abdominal aorta aneurysm (AAA) repair. This excess is generally attributed to increased cardiovascular risk. The aim of this study was (1) quantify the for patients with AAA, (2) evaluate cross sectional level management, and (3) estimate potential optimised management reduce in these patients. Excess estimated throu...

a central aim of educational research in the area of mathematical modeling and applications is to recognize the attainment level of students at defined states of the modeling process. in this paper, we introduce principles of fuzzy sets theory and possibility theory to describe the process of mathematical modeling in the classroom. the main stages of the modeling process are represented as fuzz...

today hydrogels are considered as the materials that are able to play important role in drug delivery systems. to design an effective hydrogel applicable network, mathematical modeling has a critical role. a successful drug delivery device relies not only on intelligent network design but also on accurate prior mathematical modeling of drug release profiles. in this study, the modeling of the i...

injection molding is one of the most important and common plastic formation methods. combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

Introduction: Clinical empathy ascertains the quality of doctorpatientrelationship and entails beneficial outcomes for bothparties. Role-modeling is a major factor in promoting clinicalempathy skills of medical students. The present study attemptedto explain the importance of role-modeling in clinical empathy ofmedical interns. It was also intended to obtain a better and moreprofound understand...