Identity plays a central role in many current events of interest and importance. This paper examines a representative sample of the computational social science (CSS) literature which incorporates notions of identity or processes of identity formation. Building on some of the ideas present in the modeling literature, we then proceed to introduce a multilevel conceptual framework for the modelin...

Simulating Wireless Sensor Networks is a complex task, since the interplay of node level and network level with respect to power consumption requires a holistic modeling and simulation approach. Regarding the sensor nodes, there are many modeling approaches and levels available, but a corresponding network level approach might not exist. In this paper, we present the integration of a multilevel...

neighborhood attachment is closely related to concrete and abstract conceptions that set the scene for a variety of interactions among the residents. it is on the basis of social-physical location which happens over time. neighborhood attachment also enhances the possibility of residents’ social participation in urban neighborhoods and has a bilateral relationship with residents’ satisfaction. ...

This study suggests two approaches to factorial invariance testing with multilevel data when the groups are at the within level: multilevel factor mixture model for known classes (ML FMM) and multilevel multiple indicators multiple causes model (ML MIMIC). The adequacy of the proposed approaches was investigated using Monte Carlo simulations. Additionally, the performance of different types of ...

Prediction of high-risk individuals and the multi-risk approach are common inquiries in caries risk epidemiology. These studies prepared the ground for future studies; specific hypotheses about causal patterns can now be formulated and tested applying advanced statistical methods designed for causal studies, such as structural equation modeling, path analysis and multilevel modeling. Causal stu...

In multilevel modeling, the relationships between the criterion and predictors are investigated at different levels. Often, the cluster-level predictors are measured by aggregating the individual-level measures. However, the aggregated clusterlevel predictors do not always reliably measure the cluster-level regression coefficient, and therefore the context coefficient. This study investigates a...

This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious bias in predictive modeling. Since standard data mining methods often produce poor performance measures, we argue for development of specialized te...

Multilevel PWM waveforms can be decomposed into several multilevel PWM components. Phase-shifted carrier (PSC) is an efficient decomposition technique. In this paper, we have first demonstrated the equality of PSC and alternative phase opposition disposition techniques. Second, we have modified PSC to accommodate other disposition techniques. Third, we have investigated the effects of using...

Multilevel Inverters has big placement advantages in Power Electronics and its application can be mentioned to FACTS tools such as UPFC – D-STATCOM. Therefore, nowadays Multilevel Inverters have created vast field’s research and researchers are trying to present appropriate structures with fewer keys and greater advantages. The main advantages of Multilevel Inverters mentioned are low-key volta...

Mathematical modeling and computer simulation has become in recent years an important support to experimental studies, for investigating the bioelectrical activity in cardiac tissue. The most complete mathematical model of electrocardiology is the Bidomain model, a degenerate parabolic system of nonlinear reaction-diffusion equations, coupled with a system of ordinary differential equations. In...