Effective equidistribution of large dimensional measures on affine invariant submanifolds

The unstable foliation, that locally is given by changing horizontal components of period coordinates, plays an important role in study of translation surfaces, including their deformation theory and in the understanding of horocycle invariant measures. In this article we show that measures of large dimension on the unstable foliation equidistribute in affine invariant submanifolds and give an effective rate. An analogous result in the setting of homogeneous dynamics is crucially used in the effective density and equidistribution results of Lindenstrauss-Mohammadi and Lindenstrauss--Mohammadi--Wang.Comment: Improved exposition, especially in the introduction. 16 page

Effect of Block Scheduling on End-Of-Course Test Achievement for High School Students Diagnosed with Attention Deficit Hyperactivity Disorder

In the United States over the past 25 years there has been a trend education using block scheduling in high schools (Zelkowski, 2010); however, there has been limited research into the impact that school-day schedules have on students diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). The purpose of this study is to compare the effects of traditional scheduling versus block scheduling on Algebra I, Geometry, English II, and English III End-of-Course standardized assessment achievement for high school students diagnosed with ADHD. Data were analyzed from different Southeastern Louisiana high school sites. Student Algebra I, Geometry, English II, and English III End-of-Course (EOC) results were compared using the mean achievement standard scores of participating schools across Southeastern Louisiana, across two schedule types, block and traditional for the 2013-2014 and 2014-2015 school years using the Mann-Whitney U test. The independent variable was schedule type, and the dependent variable was the median achievement score. The median standard scores of the different tests across schedule types indicated whether there were any significant differences in scores between block and traditional schedules. The results from this study suggest that the type of scheduling-block or traditional-does not significantly influence the EOC performance of high school students diagnosed with ADHD. The findings of this research can help guide instructional practices of teachers as well as the way administrators structure their school days and years

Subsequence Rational Ergodicity of Rank-One Transformations

We show that all rank-one transformations are subsequence boundedly rationally ergodic and that there exist rank-one transformations that are not weakly rationally ergodic.Comment: Added references, minor update

The Torii Project

This is a summary of the Torii Project: how the project came to be, and the process behind the preconstruction of installing the structure. A Torii is a Japanese gate structure in Japanese Shinto practices, as the structure is a frame for a significant space. The project was initially started by the Japanese Student Association, and has grown over time become an interdisciplinary design build project involving architects, civil engineers, landscape architects and construction management majors. The design came from Cal Poly Architecture Alumni Amir Hossler who has studied the construction of Toriis in Japan and was the main source of information for the design. In order to stay committed to the project’s promotion of diversity and inclusion, major Japanese American communities were sought for their approval of the project as stakeholders, which included the Japanese Student Association, the Nikkei Student Union, the SLO Buddhist temple and the Hayashi Family. With help from CAED support shop staff and architecture student Laura Kuffner, process plans were designed and developed as the materials were procured. It will also discuss the permitting process, and the difficulties and roadblocks that slowed progress and the plans going forward to install the final version of the Torii

Physical Properties of Traditional and Water-Miscible Oil Paints as Assessed By Single-Sided Nmr

Single-sided NMR has been demonstrated as a useful technique for the inexpensive and non-invasive study of cultural heritage objects, including numerous different painting and paint samples. The relatively recent invention of water-miscible oil paints – a new form of environmentally friendly oil paint that can be thinned and cleaned by water – provides a need for analysis of the physical properties of the cured paint films. Single-sided NMR offers an excellent analytical tool to study the structural effects of the emulsifying agent present in water-miscible oil paints on the paint linoxyn network by measuring the transverse (T2) relaxation times for various pigments. In this research, single-sided NMR is shown to be a successful technique in analyzing the physical properties of oil paint networks in comparison to the chemical composition of the paints as assessed by fatty acid ratios produced from complimentary GCMS data. The discovery of a correlation between specific fatty acid ratios and relaxation times suggests that the presence of the emulsifying agent interferes with autoxidation and the cross-linking of the paint network, impeding the relative rate of curing. The conclusions drawn from this research offer the potential for multiple new experiments to better understand the chemistry behind the curing of oil paints in the presence of an emulsifying agent

Ground Extraction from 3D Lidar Point Clouds

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works Pomares, A., Martínez, J.L., Mandow, A., Martínez, M.A., Morán, M., Morales, J. Ground extraction from 3D lidar point clouds with the Classification Learner App (2018) 26th Mediterranean Conference on Control and Automation, Zadar, Croatia, June 2018, pp.400-405. DOI: PendingGround extraction from three-dimensional (3D) range data is a relevant problem for outdoor navigation of unmanned ground vehicles. Even if this problem has received attention with specific heuristics and segmentation approaches, identification of ground and non-ground points can benefit from state-of-the-art classification methods, such as those included in the Matlab Classification Learner App. This paper proposes a comparative study of the machine learning methods included in this tool in terms of training times as well as in their predictive performance. With this purpose, we have combined three suitable features for ground detection, which has been applied to an urban dataset with several labeled 3D point clouds. Most of the analyzed techniques achieve good classification results, but only a few offer low training and prediction times.This work was partially supported by the Spanish project DPI 2015- 65186-R. The publication has received support from Universidad de Málaga, Campus de Excelencia Andalucía Tech