The Effects of School-Wide Positive Behavior Intervention Supports on Students with Emotional Behavior Disorders in Elementary Schools

The purpose of this study was to explore the effectiveness of implementing School-Wide Positive Behavior Intervention Supports (SWPBIS) in elementary schools for students with Emotional Behavior Disorders (EBD) that engaged in poor adaptive behaviors. Therefore, the researcher seeked to determine if there existed a difference in the overall adaptive scores of elementary students with EBD who attended a SWPBIS school and a non-SWPBIS school. The purpose of this research study was to determine if the implementation of SWPBIS decreased the poor adaptive scores among students with EBD and if lower adaptive scores decreased the chance of disruptive and violent behaviors. Higher adaptive behavior scores are stronger predictors for violence among youths (Koth et al., 2009). A causal-comparative design study was used to evaluate the effectiveness of SWPBIS on the adaptive behavior scores of elementary students with EBD. The instrument that was used for the evaluation was the Teacher Observation Classroom Adaptive-Checklist (TOCA-C) developed by the Woodlawn Research Center in Chicago. A convenience sample of a minimum of 100 teachers selected from 20 elementary schools located in a suburban school district outside of a metropolitan city in Georgia during the fall semester of the 2017-2018 school year was used in this study. A MANOVA statistical analysis was used to analyze the research data

Alien Registration- Clarke, Howard G. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/24545/thumbnail.jp

I Know I Got More Than My Share

https://digitalcommons.library.umaine.edu/mmb-vp/1664/thumbnail.jp

I Know I Got More Than My Share

https://digitalcommons.library.umaine.edu/mmb-vp/1665/thumbnail.jp

Public Archaeologies from the Edge

The chapter serves to introduce the first-ever book dedicated to public archaeologies of frontiers and borderlands. We identify the hitherto neglect of this critical field which seeks to explore the heritage, public engagements, popular cultures and politics of frontiers and borderlands past and present. We review the 2019 conference organised by Uiversity of Chester Archaeology students at the Grosvenor Museum, Chester, which inspired this book, and then survey the structure and contents of the collection. We advocate that public archaeologies should seek to incorporate and foreground perspectives ‘from the edge’. By this we mean public archaeology should make frontiers and borderlands – including the people living with them and seeking to traverse them – paramount to future work

If He Can Fight Like He Can Love Good Night Germany!

https://digitalcommons.library.umaine.edu/mmb-vp/1804/thumbnail.jp

On fine differentiability properties of horizons and applications to Riemannian geometry

We study fine differentiability properties of horizons. We show that the set of end points of generators of a n-dimensional horizon H (which is included in a (n+1)-dimensional space-time M) has vanishing n-dimensional Hausdorff measure. This is proved by showing that the set of end points of generators at which the horizon is differentiable has the same property. For 1\le k\le n+1 we show (using deep results of Alberti) that the set of points where the convex hull of the set of generators leaving the horizon has dimension k is ``almost a C^2 manifold of dimension n+1-k'': it can be covered, up to a set of vanishing (n+1-k)-dimensional Hausdorff measure, by a countable number of C^2 manifolds. We use our Lorentzian geometry results to derive information about the fine differentiability properties of the distance function and the structure of cut loci in Riemannian geometry.Comment: Latex2e, 13 pages in A4 forma

Omics-based characterization of random transgene integration sites from CHO production cell lines

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J plots: a new method for characterizing structures in the interstellar medium

Large-scale surveys have brought about a revolution in astronomy. To analyse the resulting wealth of data, we need automated tools to identify, classify, and quantify the important underlying structures. We present here a method for classifying and quantifying a pixelated structure, based on its principal moments of inertia. The method enables us to automatically detect, and objectively compare, centrally condensed cores, elongated filaments, and hollow rings. We illustrate the method by applying it to (i) observations of surface density from Hi-GAL, and (ii) simulations of filament growth in a turbulent medium. We limit the discussion here to 2D data; in a future paper, we will extend the method to 3D data