Analysis and Psychoeducational Implications of the Behavior Factor During the COVID-19 Emergency

This theoretical analysis seeks to contribute to three objectives within the context of the proposed Frontiers Research Topic: (1) delimit two levels of analysis in the present pandemic situation: medicine-epidemiology and behavioral psychology, still under-addressed. While medicine has its essential role on the biological side, psychology has a comparable role on the behavioral side. (2) Analyze the importance of behavioral-educational factors in the pandemic situation, using a precise theoretical model from educational psychology for this analysis. (3) Propose preventive, psychoeducational intervention strategies based on the previous analyses.

The determinant of behavioral factors which influence on credit card usages

The purpose of this paper is to examine which behavior factor effect on credit card use. Among different behavior factors, which factor more positively and significantly influence credit card use? The data are collected from individuals who have a credit card through the Lahore questionnaire. The finding shows a strong influence of behavior factor on credit card uses especially perceived usefulness. And perceived risk has a positive impact on credit card use. The study is limited to only the service sector as a credit card. Convinces sampling technique is used. For further research, influence on customer or client income also takes into consideration. This research is no precious in Pakistan's credit card, which studies behavior influences credit card use.

A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm

The most important feature of the behavior factor is that it allows the structural designer to be able to evaluate the structural seismic demand, using an elastic analysis, based on force-based principles quickly. In most seismic codes, this coefficient is merely dependent on the type of lateral resistance system and is introduced with a fixed number. However, there is a relationship between the behavior factor, ductility (performance level), structural geometric properties, and type of earthquake (near and far). In this paper, a new and accurate correlation is attempted to predict the behavior factor (q) of EBF steel frames, under near-fault earthquakes, using the genetic algorithm (GA). For this purpose, a databank consisting of 12960 data is created. To establish different geometrical properties of models, 3−, 6−, 9−, 12−, 15, and 20− story steel EBF frames were considered with 3 different types of link beam, 3 different types of column stiffness, and 3 different types of brace slenderness. Using nonlinear time history under 20 near-fault earthquake, all models were analyzed to reach 4 different performance levels. 6769 data were used as GA training data. Moreover, to validate the correlation, 2257 data were used as test data for calculating mean squared error (MSE) and correlation coefficient (R) between the predicted values of (q) and the real values. In addition, the MSE and R were calculated for correlation in the train and test data. Also, the comparison of the response of maximum inelastic displacement of 5 stories EBF from the proposed correlation and the mean inelastic time-history analysis confirms the accuracy of the estimate relationship.

Behavior factor of concrete portal frames with dissipative devices based on carbon-wrapped steel tubes

The key element characterizing the seismic vulnerability of existing prefabricated RC structures, not designed for earthquake actions, are friction-based connections between structural members; mainly those between beams and columns and beams and roofing beams. The paper discusses the effectiveness of dissipative connectors made of carbon wrapped steel tubes. In particular, it presents the results of Incremental Dynamic Analyses on portal frames, aimed at evaluating behavior factor values to be used in design. A simplified formula for estimating the behavior factor is also proposed. Results of nonlinear IDAs suggest that the introduction of these dissipative devices in friction-based beam-column joints provides an effective connection between structural members and, in addition, reduces the forces transmitted to columns, improving the seismic behavior of the entire structure.