Parents??? conceptions of their homework involvement in elementary school

Resumen tomado de la publicaci??n

The simple view of reading in elementary school : a systematic review

Resumen basado en la publicaci??n

Social training activities and resources for hearing impaired students in elementary school

This paper provides resources to help hearing impaired students in primary and elementary grades with personal and social competency training.

Mainstreaming, inclusion, and the elementary school age hearing impaired student

This paper presents materials for educators and students, grades K-6, about hearing and hearing impairment that will help prepare them for more successful mainstreaming and inclusion of hearing-impaired children.

An educational curriculum outline for teaching sound and hearing in elementary schools

This paper provides curriculum on noise, ears, hearing and deafness for elementary school children.

Developing materials for teaching early elementary fundamental skills to hearing-impaired children

This paper contains materials for teaching early elementary skills to hearing impaired children.

Comment on ``Piecewise potential vorticity inversion: Elementary tests''

Egger (2008) constructs some idealised experiments to test the usefulness of piecewise potential vorticity inversion (PPVI) in the diagnosis of Rossby wave dynamics and baroclinic development. He concludes that, ``PPVI does not help us to understand the dynamics of linear Rossby waves. It provides local tendencies of the streamfunction which are unrelated to the true ones. The same way, the motion of baroclinic waves in shear flow cannot be understood by using PPVI. Moreover, the effect of boundary temperatures as determined by PPVI is unrelated to the flow evolution.'' He goes further in arguing that we should not consider velocities as ``induced'' by PV anomalies defined by carving up the global domain. However, these conclusions partly reflect the limitations of his idealised experiments and the manner in which the PV components were partitioned from one another.

Monte Carlo numerical treatment of large linear algebra problems

In this paper we deal with performance analysis of Monte Carlo algorithm for large linear algebra problems. We consider applicability and efficiency of the Markov chain Monte Carlo for large problems, i.e., problems involving matrices with a number of non-zero elements ranging between one million and one billion. We are concentrating on analysis of the almost Optimal Monte Carlo (MAO) algorithm for evaluating bilinear forms of matrix powers since they form the so-called Krylov subspaces. Results are presented comparing the performance of the Robust and Non-robust Monte Carlo algorithms. The algorithms are tested on large dense matrices as well as on large unstructured sparse matrices.