Phonon‐Frequency Distribution Curve of Vanadium on deLaunay's Model

1962 ◽  
Vol 36 (4) ◽  
pp. 1116-1117 ◽  
Author(s):  
B. Sharan
The Lancet ◽  
1966 ◽  
Vol 288 (7456) ◽  
pp. 185-187 ◽  
Author(s):  
Ronald Finn ◽  
P.O. Jones ◽  
M.C.K. Tweedie ◽  
SybilM. Hall ◽  
OliveF. Dinsdale ◽  
...  

1952 ◽  
Vol 25 (2) ◽  
pp. 315-320
Author(s):  
M. van den Tempel

Abstract 1. The use of visible light in determining the average particle size or the particle-size distribution in Hevea latex renders the results meaningless, as only about 40 per cent of the particles have a diameter of more than 0.2 µ. 2. In considering the size-frequency distribution curve as determined by Lucas, it could be assumed that, actually, the number of particles having a diameter of less than 0.12 µ might be very much larger than has been indicated by him. The agreement with the determination of the number of particles by van Gils, however, may be taken as evidence in favor of the correctness of the curve as given by Lucas. 3. An expression has been given which describes the size-frequency distribution curve, as found by Lucas, with a high degree of accuracy. It is necessary to assume that no particles larger than 5.2 µ are present in the latex. 4. Attention is directed to the considerable difference existing between the various average diameters, caused by the strongly asymmetrical shape of the size-frequency distribution curve. This work forms part of the program of fundamental research on latex problems undertaken by the Research Department of the Rubber-Stichting, Delft, under the management of H. C. J. de Decker.


1993 ◽  
Vol 21 (4) ◽  
pp. 207-211 ◽  
Author(s):  
SHIGEYUKI KANO ◽  
SALAH H. EL SAFI ◽  
FAKHR EL DIN M. OMER ◽  
PILARITA T. RIVERA ◽  
AHMED A. EL GADDAL ◽  
...  

1967 ◽  
Vol 13 (11) ◽  
pp. 931-940 ◽  
Author(s):  
N Ressler ◽  
L S Whitlock

Abstract A method is described for determining the diagnostic significance of test results. It is based upon the relation of a test value to a frequency distribution curve of patients with a particular disease, and to a curve of others without that disease. When the two curves overlap at the test value found, the results are evaluated in terms of the probability of the patient corresponding to either of the two curves. The evaluation of results in terms of probabilities is more descriptive than the classification of all answers as either "normal" or "abnormal" and permits the combination of probabilities obtained from a number of tests into a single, resultant probability. The most probable diagnosis of a given patient, based upon all the tests done, or the most discriminating combination of tests for the diagnosis of any disease can be determined. The method permits compensation for such factors as a patient's age and sex, or the stage of a disease. It is nonparametric, and can be performed automatically with a data-processing system.


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