Materials science experiments in space

The criteria for the selection of the experimental areas and individual experiments were that the experiment or area must make a meaningful contribution to the field of material science and that the space environment was either an absolute requirement for the successful execution of the experiment or that the experiment can be more economically or more conveniently performed in space. A number of experimental areas and individual experiments were recommended for further consideration as space experiments. Areas not considered to be fruitful and others needing additional analysis in order to determine their suitability for conduct in space are also listed. Recommendations were made concerning the manner in which these materials science experiments are carried out and the related studies that should be pursued

Sublimation Pressures of Refractory Fluorides

Vapor species identification, absolute vapor pressures and heats of sublimation of refractory metal fluoride

Accurate peak list extraction from proteomic mass spectra for identification and profiling studies

<p>Abstract</p> <p>Background</p> <p>Mass spectrometry is an essential technique in proteomics both to identify the proteins of a biological sample and to compare proteomic profiles of different samples. In both cases, the main phase of the data analysis is the procedure to extract the significant features from a mass spectrum. Its final output is the so-called peak list which contains the mass, the charge and the intensity of every detected biomolecule. The main steps of the peak list extraction procedure are usually preprocessing, peak detection, peak selection, charge determination and monoisotoping operation.</p> <p>Results</p> <p>This paper describes an original algorithm for peak list extraction from low and high resolution mass spectra. It has been developed principally to improve the precision of peak extraction in comparison to other reference algorithms. It contains many innovative features among which a sophisticated method for managing the overlapping isotopic distributions.</p> <p>Conclusions</p> <p>The performances of the basic version of the algorithm and of its optional functionalities have been evaluated in this paper on both SELDI-TOF, MALDI-TOF and ESI-FTICR ECD mass spectra. Executable files of MassSpec, a MATLAB implementation of the peak list extraction procedure for Windows and Linux systems, can be downloaded free of charge for nonprofit institutions from the following web site: <url>http://aimed11.unipv.it/MassSpec</url></p

Signal Processing for NDE

Nowadays, testing and evaluating of industrial equipment using nondestructive tests, is a fundamental step in the manufacturing process. The complexity and high costs of manufacturing industrial components, require examinations in some way about the quality and reliability of the specimens. However, it should be noted, that in order to accurately perform the nondestructive test, in addition to theoretical knowledge, it is also essential to have the experience and carefulness, which requires special courses and experience with theoretical education. Therefore, in the traditional methods, which are based on manual testing techniques and the test results depend on the operator, there is the possibility of an invalid inference from the test data. In other words, the accuracy of conclusion from the obtained data is dependent on the skill and experience of the operator. Thus, using the signal processing techniques for nondestructive evaluation (NDE), it is possible to optimize the methods of nondestructive inspection, and in other words, to improve the overall system performance, in terms of reliability and system implementation costs. In recent years, intelligent signal processing techniques have had a significant impact on the progress of nondestructive assessment. In other words, by automating the processing of nondestructive data and signals, and using the artificial intelligence methods, it is possible to optimize nondestructive inspection methods. Hence, improve overall system performance in terms of reliability and Implementation costs of the system. This chapter reviews the issues of intelligent processing of nondestructive testing (NDT) signals

MATRIX INFRARED SPECTRA OF LiCS

Author Institution: Department of Chemistry, Rice UniversityLithium atoms have been cocondensed with CS in argon and nitrogen matrices. Frequencies for the isotopic species of lithium and carbon have been measured. A comparison of bonding in LiCS and LiCO will be given along with structure and frequency measurements

INFRARED SPECTRA OF THE REACTION BETWEEN METAL ATOMS AND WATER MOLECULES IN AN ARGON MATRIX

Author Institution:The products of the reaction of a metal (Mg, Mn, Fe, Co, Ni, Cu, and Zn) with water were investigated in solid argon at 10--15K. A water metal adduct was initially formed with the metals (Mg, Mn, Fe, Co); the metal preferentially bonding through the oxygen of water. This was evidenced by a decrease in the water bending mode at $1590 cm^{-1}$ to a lower frequency. Calculated interaction energies have suggested that the shift in the water bending frequency is related to the degree of bonding between the metal atom and water molecule. A shift in the water bending frequency was not observed for Ni and Cu, and only a comparatively small shift in the case of Zn, suggesting there is little or no interaction between these metals and water.Photolysis of the matrix, with a medium pressure mercury lamp, produced in all cases, a metal insertion reaction into the hydrogen-oxygen bond of water forming primarily the molecular species HMOMH AND HMOH