Automated Technique for R-Curve Testing and Analysis

2008 ◽  
pp. 248-248-12 ◽  
Author(s):  
M Jolles
Keyword(s):  
Automated Technique

scholarly journals Automated Assessment of Thoracic-Abdominal Asynchrony in Patients with Morquio Syndrome

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 880
Author(s):  
Madhavi V. Ratnagiri ◽  
Yan Zhu ◽  
Tariq Rahman ◽  
Mary Theroux ◽  
Shunji Tomatsu ◽  
...  
Keyword(s):  
Learning Algorithm ◽  
Assessment Methodology ◽  
Emergency Rooms ◽  
Multiple Organs ◽  
Difficulty Breathing ◽  
Causes Of Mortality ◽  
Morquio Syndrome ◽  
Automated Technique ◽  
Thoracic And Abdominal ◽  
Function Testing

Morquio syndrome is a rare disease caused by a disorder in the storage of mucopolysaccharides that affects multiple organs, including musculoskeletal, respiratory, cardiovascular, and digestive systems. Respiratory failure is one of the leading causes of mortality in Morquio patients; thus, respiratory function testing is vital to the management of the disease. An automated respiratory assessment methodology using the pneuRIP device and a machine-learning algorithm was developed. pneuRIP is a noninvasive approach that uses differences between thoracic and abdominal movements (thoracic-abdominal asynchrony) during respiration to assess respiratory status. The technique was evaluated on 17 patients with Morquio (9 females and 8 males) between the ages of 2 and 57 years. The results of the automated technique agreed with the clinical assessment in 16 out of the 17 patients. It was found that the inverse cumulative percentage representation of the time delay between the thorax and abdomen was the most critical variable for accurate evaluation. It was demonstrated that the technique could be successfully used on patients with Morquio who have difficulty breathing with 100% compliance. This technique is highly accurate, portable, noninvasive, and easy to administer, making it suitable for a variety of settings, such as outpatient clinics, at home, and emergency rooms.

Characterization of Textured Aluminum Lines and Modelling of Stress Voiding

1994 ◽  
Vol 343 ◽  
Author(s):  
S.C. Wardle ◽  
B.L. Adams ◽  
C.S. Nichols ◽  
D.A. Smith
Keyword(s):  
Free Energy ◽  
Excess Free Energy ◽  
Mean Field ◽  
High Energy ◽  
Polycrystalline Structure ◽  
Field Approach ◽  
Bamboo Structure ◽  
Automated Technique ◽  
Theory And Modeling

ABSTRACTIt is well known from studies of individual interfaces that grain boundaries exhibit a spectrum of properties because their structure is misorientation dependent. Usually this variability is neglected and properties are modeled using a mean field approach. The limitations inherent in this approach can be overcome, in principle, using a combination of experimental techniques, theory and modeling. The bamboo structure of an interconnect is a particularly simple polycrystalline structure that can now be readily characterized experimentally and modeled in the computer. The grain misorientations in a [111] textured aluminum line have been measured using the new automated technique of orientational imaging microscopy. By relating boundary angle to diffusivity the expected stress voiding failure processes can be predicted through the link between misorientation angle, grain boundary excess free energy and diffusivity. Consequently it can be shown that the high energy boundaries are the favored failure sites thermodynamically and kinetically.

An Automated Technique for the Clearing and Staining of Fetal Bone in the Autotechnicon

1967 ◽  
Vol 126 (3) ◽  
pp. 819-821
Author(s):  
H. Rowe ◽  
E. Schwartz ◽  
G. C. Boxill
Keyword(s):  
Fetal Bone ◽  
Automated Technique

An Automated Technique for in Vitro Assessment of the Susceptibility of Urinary Catheter Materials to Encrustation

1987 ◽  
Vol 16 (1) ◽  
pp. 37-41 ◽  
Author(s):  
A J Cox ◽  
D W L Hukins ◽  
K E Davies ◽  
J C Irlam ◽  
T M Sutton
Keyword(s):  
Chemical Composition ◽  
Urinary Catheter ◽  
Reaction Vessel ◽  
Indwelling Catheters ◽  
Artificial Urine ◽  
In Vitro Assessment ◽  
Infected Urine ◽  
Automated Technique

An automated technique has been developed for assessing the extent to which existing or potential materials for the construction of indwelling catheters become encrusted during exposure to infected urine. In this technique the enzyme urease is added to artificial urine containing albumin in a reaction vessel which contains the samples to be tested. Controlled replacement of reactants leads to appreciable formation of encrusting deposits which adhere firmly to the surface of the test samples. Deposits have the same chemical composition as those which encrust catheters in vivo.

A simple, fast and inexpensive automated technique for measurement of plasma nitrite

2010 ◽  
Vol 48 (12) ◽  
Author(s):  
Renata da Silva Pereira ◽  
Sílvia Juliane Piva ◽  
Etiane Tatsch ◽  
Helena Kober ◽  
Patrícia Gomes ◽  
...  
Keyword(s):  
Automated Technique ◽  
Plasma Nitrite

An automated technique for measuring the recovery cycle of human nerves

1990 ◽  
Vol 13 (8) ◽  
pp. 750-758 ◽  
Author(s):  
Peter K. Stys ◽  
Peter Ashby
Keyword(s):  
Recovery Cycle ◽  
Automated Technique

Automated technique for mercury determination at sub-nanogram per litre levels in natural waters

1995 ◽  
Vol 10 (3) ◽  
pp. 287 ◽  
Author(s):  
Daniel Cossa ◽  
Jane Sanjuan ◽  
Jacques Cloud ◽  
Peter B Stockwell ◽  
Warren T Corns
Keyword(s):  
Natural Waters ◽  
Mercury Determination ◽  
Automated Technique

scholarly journals Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yuan Jiang ◽  
Qin Xu ◽  
Pengfei Zhang ◽  
Kang Nai ◽  
Liping Liu
Keyword(s):  
Fuzzy Logic ◽  
Real Data ◽  
Radar Data ◽  
Second Step ◽  
Doppler Velocity ◽  
Data Quality Control ◽  
Fuzzy Logic Method ◽  
Automated Technique ◽  
Migrating Birds ◽  
Logic Method

As an important part of Doppler velocity data quality control for radar data assimilation and other quantitative applications, an automated technique is developed to identify and remove contaminated velocities by birds, especially migrating birds. This technique builds upon the existing hydrometeor classification algorithm (HCA) for dual-polarimetric WSR-88D radars developed at the National Severe Storms Laboratory, and it performs two steps. In the first step, the fuzzy-logic method in the HCA is simplified and used to identify biological echoes (mainly from birds and insects). In the second step, another simple fuzzy logic method is developed to detect bird echoes among the biological echoes identified in the first step and thus remove bird-contaminated velocities. The membership functions used by the fuzzy logic method in the second step are extracted from normalized histograms of differential reflectivity and differential phase for birds and insects, respectively, while the normalized histograms are constructed by polarimetric data collected during the 2012 fall migrating season and sorted for bird and insects, respectively. The performance and effectiveness of the technique are demonstrated by real-data examples.

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