Ultrasonic temperature measuring device

Pulse echo ultrasonic system automatically determines the temperature in the core of a nuclear rocket engine by measuring the transit time of an acoustic pulse in a wire sensor. The measurement is based on the fact that the speed of sound in the sensor material is a function of temperature

Ultrasonic temperature measuring device Fifth quarterly progress report

Refractory material irradiation, sensor studies, and sheath applications for development of ultrasonic temperature measuring devic

Techniques for mounting an ultrasonic temperature device Final report

Transducer mounting technique for applying ultrasonic method of temperature measurement to rocket thrust chamber

Ultrasonic temperature measuring device First quarterly progress report

Room temperature and elevated temperature preliminary ultrasonic measurements and capsule design, construction and testing - ultrasonic temperature measuring devic

Ultrasonic temperature measuring device Second quarterly progress report

Molybdenum wire, ultrasonic temperature measuring apparatu

Ultrasonic temperature measuring device Fourth quarterly progress report

Molybdenum and rhenium wire tested for use in ultrasonic temperature measurement devic

Ultrasonic propagation in gases at high temperatures

Ultrasonic pulse method /1 to 3 MHz/ measures both sound speed and absorption in monatomic and polyatomic gases in a temperature range of 300 to 20000 degrees K at atmospheric pressure. Helium, nitrogen, oxygen, and argon are investigated

High temperature measuring device

Ultrasonic pulse technique for measuring average gas temperature in nuclear rocket engine - sound propagation and environmental studie

Ultrasonic measurement of core material temperature, phase 1

High temperature ultrasonic temperature measurements in nuclear rocket engine to determine feasibility of rhenium sensor as high temperature senso

Innovative MRI techniques in neuroimaging approaches for cerebrovascular diseases and vascular cognitive impairment

Cognitive impairment and dementia are recognized as major threats to public health. Many studies have shown the important role played by challenges to the cerebral vasculature and the neurovascular unit. To investigate the structural and functional characteristics of the brain, MRI has proven an invaluable tool for visualizing the internal organs of patients and analyzing the parameters related to neuronal activation and blood flow in vivo. Different strategies of imaging can be combined to obtain various parameters: (i) measures of cortical and subcortical structures (cortical thickness, subcortical structures volume); (ii) evaluation of microstructural characteristics of the white matter (fractional anisotropy, mean diffusivity); (iii) neuronal activation and synchronicity to identify functional networks across different regions (functional connectivity between specific regions, graph measures of specific nodes); and (iv) structure of the cerebral vasculature and its efficacy in irrorating the brain (main vessel diameter, cerebral perfusion). The high amount of data obtainable from multi-modal sources calls for methods of advanced analysis, like machine-learning algorithms that allow the discrimination of the most informative features, to comprehensively characterize the cerebrovascular network into specific and sensitive biomarkers. By using the same techniques of human imaging in pre-clinical research, we can also investigate the mechanisms underlying the pathophysiological alterations identified in patients by imaging, with the chance of looking for molecular mechanisms to recover the pathology or hamper its progression