Abstract Multi-modal digital medical image fusion has drawn extensive attentions for integrating more information into one image. In this article, novel multi-resolution curvelet entropy distribution method is proposed to discriminate the image curvelet-transformed coefficients. Fusion weight determination for individual source information has been emphasized on, which is represented through analyzing the coefficient matrix in curvelet-transformed scale. Shannon entropy has been applied... Multi-modal digital medical image fusion has drawn extensive attentions for integrating more information into one image. In this article, novel multi-resolution curvelet entropy distribution method is proposed to discriminate the image curvelet-transformed coefficients. Fusion weight determination for individual source information has been emphasized on, which is represented through analyzing the coefficient matrix in curvelet-transformed scale. Shannon entropy has been applied as the essential fusion weight criteria after counting the probabilities of the coefficients through different-sized masks at every scale. Fusion criterion of entropy distribution variance in different sized neighborhood regions is also combined with the entropy idea to preserve more details of the source images. After operating fusion on brain CT/MRI data sets, quantitative evaluation shows that the proposed approach based on 3×3 regional distribution of 3×3 masked entropy can provide more satisfactory fusion effect. And the wider mask or region can sensitively extract more CT information for fusion, though deteriorated the total fusion quality. The proposed algorithm is beneficial for multi-modal medical image comprehension to heighten the clinical diagnosis accuracy. Read More Read Less

Abstract From the point of view of educational environments technological innovation, teaching has stopped to be based on theory without the practical manipulations, providing new complementary educational services through different tools, computer modeling and simulations are necessary in order to encourage the university student’s skills acquisition. In kinetics we have to estimate parameters for the catalytic chemical reactions, vapor deposition and... From the point of view of educational environments technological innovation, teaching has stopped to be based on theory without the practical manipulations, providing new complementary educational services through different tools, computer modeling and simulations are necessary in order to encourage the university student’s skills acquisition. In kinetics we have to estimate parameters for the catalytic chemical reactions, vapor deposition and many other reactions. Kinetic Monte Carlo is a simulation method often used when simulating how chemical systems evolve over time, for example how crystalline layers grow or evolve as atoms are deposited or hops around on a defined lattice surface or how concentrations of substrates depend on enzymatic reactions. The work presented in this paper aims at highlighting the role of using computer simulations in the practical work of the teaching of the kinetic chemical roles, especially due to their impact on learning during the teaching process. Undoubtedly, by applying the Monte Carlo method and implementing a computer application developed in the educational setting for the simulations of the chemical reactions provides the students with the opportunity to acquire new skills and abilities, including the didactic and educational ones, enabling them, thus, to create a new dynamic that aims at optimizing the process of interaction and interactivity in the university. The analysis of the collected data is made after carrying out a survey on the impact of the integration of this new techno-pedagogic instrument on the students of the MSC course taught in third year at the Faculty of Science-Ben M’sik. The analysis is showing the usefulness of using this system in order to participate in the integration of the other platforms and applications of scientific simulations. Read More Read Less

Abstract The internet causes the tendency of excess information faced by users. Therefore, the key for business now is how to deliver the right information for the targeted audience. The purpose of this research is to evaluate different types of information presented on a Facebook page. Three types of information are investigated, which are detailed information, interactivity information, and persuasive information.... The internet causes the tendency of excess information faced by users. Therefore, the key for business now is how to deliver the right information for the targeted audience. The purpose of this research is to evaluate different types of information presented on a Facebook page. Three types of information are investigated, which are detailed information, interactivity information, and persuasive information. Experiment design is conducted using an eye-tracking device to find out the relationship between types of information and intention to buy. A Facebook page of a clothing company based in Bandung is used as the research object. Then, data collected are processed using Least Square Robust regression analysis. It is found that detailed information and interactivity information on Facebook post has a significant effect to trust. However, persuasive information does not have a significant effect on trust. Besides, trust has a significant effect on intention to buy. Read More Read Less