Feasibility Study of High Temperature Superconducting Cables for Distribution Power Grids in Metropolises

High Temperature Superconducting (HTS) cables have numerous advantages in comparison with conventional power cables, such as high power density and low power losses, so they have great potential in enhancing the transmission capacity and improving the quality of power grids. In this work, we studied various cases to evaluate the feasibility of replacing conventional cables with HTS cables in metropolitan distribution networks. These cases represent three principal strategies. The first, HTS cables are applied at the same or lower voltage levels with the same transmission capacity, named as “equal capacity replacement”. The second, considering the increasing power demands we demonstrate how HTS cables can benefit the power grids with expanded capacity (expanded capacity replacement). The third, we consider the case of unequal routes from the perspective of saving land resources (unequal routing replacement). In this paper, we introduce the methods and results of this study and give some preliminary conclusive remarks

How much growth can we expect? A conditional analysis of R-CBM growth rates by level of performance

This study examined the reading growth rates of 7,544 students in Grades 2–6, measured over 1 year using Reading—Curriculum-Based Measurement (R—CBM) benchmark assessments administered in the fall, winter, and spring. The authors used hierarchical linear modeling to establish and compare student rates of growth within each grade level based on initial level of performance. Results suggest that growth rates vary significantly, conditional on initial level of performance, with much lower rates of growth for students at the bottom and top of the distribution. Implications for using R—CBM in a response-to-intervention model are discussed. </jats:p

Formative assessment using CBM-R cut scores to track progress toward success on state-mandated achievement tests: A comparison of methods

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A longitudinal examination of the diagnostic accuracy and predictive validity of R-CBM and high-stakes testing

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