An Unfinished Canvas: District Capacity and the Use of New State Funds for Arts Education in California

Questions about district leadership and capacity -- particularly in light of the new funding -- served as the impetus for this study. Through a survey of leaders in 385 districts, we assessed districts' capacity with respect to arts education, explored early spending choices, and examined the relationship between the two. We also studied changes in arts education since the new resources became available and worked to understand the barriers that continue to stand in the way of comprehensive arts education for all California students

Liquid rocket performance computer model with distributed energy release Interim final report, 15 Aug. 1969 - 15 Aug. 1970

Liquid propellant rocket engine performance computer program with distributed energy releas

Automated Detection Of Herbarium Specimens Via Transfer Learning In Convolutional Neural Networks

There are thousands of herbaria (collections of dried and mounted plants) all over the world, containing millions of specimens which have yet to be digitized and made available to online research communities. Recent global transcription efforts have utilized crowd-sourced volunteers to perform data entry, especially in areas where optical character recognition continues to fail. The relatively new process of transfer learning in artificial neural networks has shown promise in reducing training complexity in difficult image classification problems, despite notable differences in target tasks and domains. Within this work, the technique of transfer learning is applied to the digital specimen collection of the I.W. Carpenter Jr. Herbarium housed at Appalachian State University, in an effort to assess its feasibility. It is shown that within the confines of the ASU herbarium, the technique of transfer learning combined with modern neural networks can effectively classify specimen images to the point where volunteer-based transcriptions of certain fields may no longer be necessary

Generalized power expansions in cosmology

It is given an algorithm to obtain generalized power asymptotic expansions of the solutions of the Einstein equations arising for several homogeneous cosmological models. This allows to investigate their behavior near the initial singularity or for large times. An implementation of this algorithm in the CAS system Maple V Release 4 is described and detailed calculations for three equations are shown.Comment: 22 pages, LaTeX, elsart.sty. To be published in Computer Physics Communications Thematic Issue "Computer Algebra in Physics Research