Bar-Ilan University

About: Bar-Ilan University is a education organization based out in Ramat Gan, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 12835 authors who have published 34964 publications receiving 995648 citations. The organization is also known as: Bar Ilan University & BIU.

Reading to Learn: Effects of Combined Strategy Instruction on High School Students

Abstract: The author reported results of 2 sequential and interrelated studies that examined the efficacy of combining 2 models of reading strategy instruction—reciprocal teaching and direct explanation. The studies were implemented in a high school in the Midwest. The literature documents that even mainstream high school students have serious deficits in higher order cognitive skills necessary for comprehension. Yet, few studies focus on secondary students, and almost none relate to high school students identified as proficient learners. The reported studies were designed to determine the effectiveness of combined strategy instruction incorporated into the school curricula in promoting strategic reading while fostering students' ability to perform reading comprehension tasks that require high levels of knowledge construction. Findings in this article suggest that combined strategy instruction may be beneficial in providing students with tools that will enable them to apply higher order cognitive processes while th...

Inter-similarity between coupled networks

Abstract: Recent studies have shown that a system composed from several randomly interdependent networks is extremely vulnerable to random failure. However, real interdependent networks are usually not randomly interdependent, rather a pair of dependent nodes are coupled according to some regularity which we coin inter-similarity. For example, we study a system composed from an interdependent world wide port network and a world wide airport network and show that well connected ports tend to couple with well connected airports. We introduce two quantities for measuring the level of inter-similarity between networks (i) Inter degree-degree correlation (IDDC) (ii) Inter-clustering coefficient (ICC). We then show both by simulation models and by analyzing the port-airport system that as the networks become more inter-similar the system becomes significantly more robust to random failure.

Dimension of spatially embedded networks

Abstract: Many properties of physical systems are known to depend on their dimension. But for complex networks—which serve to model a wide range of physical, technological and social systems—the concept of dimension has received relatively little attention so far. This study shows how the dimension of a broad class of networks can be ascertained, and demonstrates that it determines the basic properties of the networks.