Matching of analytical and numerical solutions for neutron stars of arbitrary rotation

We demonstrate the results of an attempt to match the two-soliton analytical solution with the numerically produced solutions of the Einstein field equations, that describe the spacetime exterior of rotating neutron stars, for arbitrary rotation. The matching procedure is performed by equating the first four multipole moments of the analytical solution to the multipole moments of the numerical one. We then argue that in order to check the effectiveness of the matching of the analytical with the numerical solution we should compare the metric components, the radius of the innermost stable circular orbit ($R_{ISCO}$), the rotation frequency $\Omega\equiv\frac{d\phi}{dt}$ and the epicyclic frequencies $\Omega_{\rho},\;\Omega_z$. Finally we present some results of the comparison.Comment: Contribution at the 13th Conference on Recent Developments in Gravity (NEB XIII), corrected typo in $M_4$ of eq. 5 of the published versio

ACT scores of Iowa public high school students: School, student, and family variables

The American College Test (ACT) is a nationally normed test developed by the American College Testing program in Iowa City, Iowa. The test battery assesses the aptitude of high school students and is especially important for those students who wish to attend a post-secondary educational institution. The ACT assessment is a comprehensive evaluation, guidance, and placement service for educators and students in the transition from high school to college. This study examined the relationship between ACT test scores and certain selected student, school and family variables. The sample for this study was the 1986-1987 ACT test taking population of senior public high school students in the state of Iowa. The data tapes of 21,131 public high school students were provided by the American College Testing program in Iowa City, Iowa. The data tape provided information about each public high school student in regard to his/her: (a) ACT composite test score; (b) academic preparation; (c) graduating class size; (d) school district\u27s cost per pupil; (e) ethnicity; (f) gender; (g) class rank; (h) grade point average; and (i) family income level. Descriptive statistics and frequency distributions portrayed the sample. A multiple regression analysis was used to test the relationship between the independent and the dependent variables. The concept of effect size was used to interpret the size of the correlation coefficients. The conventional definitions proposed by Cohen were used: small effect size, r =.10 and r2 =.01; medium effect size, r =.3 and r2 =.09; and large effect size, r =.5 and r2 =.25. The analysis of data of this study revealed three variables that were classified as having a large effect size. Those three variables were: (a) high school grade point average; (b) high school class rank; and (c) ethnicity. Two variables, academic preparation and gender, produced a medium effect size. Family income level and graduating class size were calculated as having a small effect size and a school district\u27s cost per pupil was noted as having less than a small effect size. High school grade point average, high school class rank, and ethnicity of Iowa public high school students had the greatest relationship to ACT test scores. Family income level, graduating class size and a school district\u27s cost per pupil were found to have very little relationship to ACT test scores of Iowa public high school students

Quantitation of buried contamination by use of solvents

Experiments directed at determining the potential of reclaimed silicone polymers for reuse are described

Quantitation of buried contamination by use of solvents

Spore recovery form cured silicone potting compounds using amine solvents to degrade the cured polymers was investigated. A complete list of solvents and a description of the effect of each on two different silicone polymers is provided

Brief Note Acute Malaria: Effects of Plasmodium Berghei on the Metabolic Rate of Mice

Author Institution: Department of Zoology, The Ohio State Universit

Remote Sensing and Control of Phase Qubits

We demonstrate a remote sensing design of phase qubits by separating the control and readout circuits from the qubit loop. This design improves measurement reliability because the control readout chip can be fabricated using more robust materials and can be reused to test different qubit chips. Typical qubit measurements such as Rabi oscillations, spectroscopy, and excited-state energy relaxation are presented.Comment: 3 pages, 4 figure

Interpretation of hidden node methodology with network accuracy

Bayesian networks are constructed under a con-ditional independency assumption. This assump-tion however does not necessarily hold in prac-tice and may lead to loss of accuracy. We previ-ously proposed a hidden node methodology whereby Bayesian networks are adapted by the addition of hidden nodes to model the data de-pendencies more accurately. Empirical results in a computer vision application to classify and count the neural cell automatically showed that a modified network with two hidden nodes achieved significantly better performance with an average prediction accuracy of 83.9% com-pared to 59.31% achieved by the original net-work. In this paper we justify the improvement of performance by examining the changes in network accuracy using four network accuracy measurements; the Euclidean accuracy, the Co-sine accuracy, the Jensen-Shannon accuracy and the MDL score. Our results consistently show that the network accuracy improves by introduc-ing hidden nodes. Consequently, we were able to verify that the hidden node methodology helps to improve network accuracy and contribute to the improvement of prediction accuracy