4,999 research outputs found
Praeger, Susan second interview for the Miami Valley College of Nursing and Health Oral History Project
No full textDonna Miles Curry and Pam Namenyi interviewed Susan Praeger about the BEACON program at Wright State University College of Nursing and Health. Dr. Praeger discussed her interest in creating the BEACON program as well as its history
Dataset for: Lensless imaging of pollen grains at three-wavelength using deep learning
No full textData supports the paper:
Grant-Jacob, J., Praeger, M., Loxham, M., Eason, R. W., & Mills, B. (2020). Lensless imaging of pollen grains at three-wavelength using deep learning. Environmental Research Communications. DOI: 10.1088/2515-7620/aba6d1</span
Data for 'Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses'
No full textData to support the publication:
Grant-Jacob, J., Mills, B., Heath, D., MacKay, B. S., Xie, Y., McDonnell, M. D. T., & Praeger, M. (2019). Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses. Materials Sciences and Applications</span
Review of: Robert M. Hardaway, Population, Law, and the Environment (Praeger 1994)
No full textReview of the book: Robert M. Hardaway, Population, Law, and the Environment (Praeger 1994). About the author, acknowledgements, index, notes, preface, selected bibliography. LC-93-44501; ISBN 0-275-94570-7 [188 pp. $55.00 Cloth. 88 Post Road West, Westport CT 06881.
Communities of care and zones of abandonment in ‘super-aged’ Japan
No full textThis is the author accepted manuscript. The final version is available from Praeger via the link in this recor
Data for 'Deep learning for the monitoring and process control of femtosecond laser machining'
No full textThis dataset supports the publication:
Xie, Y., Heath, D., Grant-Jacob, J., Mackay, B., McDonnell, M., Praeger, M., Eason, R. and Mills, B. (2019). Deep learning for the monitoring and process control of femtosecond laser machining. Journal of Physics: Photonics, 1(3), p.035002.
https://doi.org/10.1088/2515-7647/ab281a</span
ON THE CAYLEYNESS OF PRAEGER–XU GRAPHS
No full textWe give a sufficient and necessary condition for a Praeger–Xu graph to be a Cayley graph
Dataset for: The effects of Hydration on the DC Breakdown Strength of Polyethylene Composites Employing Oxide and Nitride Fillers
No full textThis dataset is intended to be used in conjunction with the journal publication;
"The effects of Hydration on the DC Breakdown Strength of Polyethylene Composites Employing Oxide and Nitride Fillers"
Authors: I. L. Hosier, M. Praeger, A. S. Vaughan and S. G. Swingler
to be published in IEEE Transactions on Dielectrics and Electrical Insulation (accepted for publication 27th April 2017)
The excel file contains the raw data used to generate each figure on a seperate tab.
Abstract: Particle dispersion, water absorption/desorption and electrical breakdown behavior were studied in a range of polyethylene composites having a common matrix morphology. Three different conditioning routes (dry, ambient and wet) were used to vary the absorbed water content. Systems employing oxide fillers (silica and alumina) were found to have poor or intermediate levels of particle dispersion and could absorb/desorb significant amounts of water. Consequently, they required drying to provide breakdown strengths comparable to that of the host matrix. Systems based on calcined silica exhibited reduced water absorption and provided improved breakdown strength after ambient conditioning, despite having an identical dispersion to those utilizing untreated silica. Composites employing nitride fillers (silicon nitride and aluminum nitride) were found to have good or intermediate levels of particle dispersion. These absorbed far less water and hence provided breakdown strength values comparable to that of the host matrix following ambient conditioning. Their breakdown strength was degraded after wet conditioning with both exhibiting similar breakdown strengths despite there being a large difference in the level of particle dispersion between the two fillers. In composites based upon a hydrophobic host matrix, water absorption is largely determined by particle surface chemistry and, although the above results are presented in terms of water absorption, we suggest that changes in this characteristic can be interpreted as a proxy for changed surface chemistry. The results suggest that surface chemistry is at least as important as particle dispersion in determining the electrical breakdown strength.</span
Development and spatio-spectral mapping of a capillary high harmonic source
No full textThis work describes the development and operation of a capillary based High Harmonic Generation (HHG) system. Using this system a coherent beam of soft x-rays is generated, studied and applied. A series of experiments was then undertaken in order to deepen our knowledge of the HHG process and to optimise the performance of the source. Notable contributions made to the field are: A novel laser mode quality measuring device. (Laser mode quality strongly affects the efficiency of the capillary launch). A study of the spectral output of the system as a function of gas pressure, laser power, and laser spectral phase. An analysis technique for recovering spatially-resolved spectral information about a beam by studying the Fresnel diffraction pattern produced at an array of apertures. A study of pulse compression using cascaded quadratic nonlinearity for spectral broadening
Dataset for Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi
No full textThis dataset supports the publication:
Grant-Jacob, J., Xie, Y., MacKay, B. S., Praeger, M., McDonnell, M. D. T., Heath, D. J., ... Mills, B. (2019). Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. Environmental Research Communications, 1(1)
https://doi.org/10.1088/2515-7620/ab14c9</span
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