The ‘caries correction factor’: A new method of calibrating dental caries rates to compensate for antemortem loss of teeth

1995 ◽  
Vol 5 (2) ◽  
pp. 151-156 ◽  
Author(s):  
John R Lukacs
Keyword(s):  
Dental Caries ◽  
Correction Factor ◽  
New Method

RISK FACTORS OF NEW CARIES BASED ON CHILD DENTAL CARIES PREDICTOR APPROACH

2014 ◽  
Vol 18 (2) ◽  
pp. 131-135
Author(s):  
Quroti A’yun ◽  
Julita Hendrartini ◽  
Supartinah Santoso ◽  
Diyah Fatmasari
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Dental Caries ◽  
School Environment ◽  
Dental Health ◽  
Research Result ◽  
New Method ◽  
Observational Research ◽  
Caries Risk ◽  
Children's Behavior

Caries risk factors are factors relate to caries occurrence in individual or population. Caries risk factors vary in everyindividual. A new method to discover the relation between risk factors and caries in children is a software named childdental caries predictor This research aimed to know the general overview of the order of caries risk factor in elementaryschool students in the province of Daerah Istimewa Yogyakarta. This was an observational research with cross-sectionaldesign. The subjects were 430 children, ranging from 10 to 12 years of age. Caries risk factors that were assessed throughchild dental caries predictor were oral and dental condition, mothers and children’s behavior in maintaining dental health,and school environment. The research result showed that the percentage for each risk factor was 39.74% for oral anddental condition, 35.77% for children’s behavior in maintaining dental health, 15.90% for mothers’ behavior inmaintaining child’s dental health, and 7.95% for school environment. In conclusion, the order of children caries riskfactors through measurement using child dental caries predictor are oral and dental condition, children’s behavior inmaintaining dental health, mothers’ behavior maintaining child’s dental health,, and school environment.

scholarly journals Theoretical Analysis and Determination of the Correction Factor for a Waveguide Microcalorimeter

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 245 ◽  
Author(s):  
Xiaohai Cui ◽  
Yu Song Meng ◽  
Wenze Yuan ◽  
Yong Li
Keyword(s):  
Correction Factor ◽  
Performance Comparison ◽  
New Method ◽  
Power Measurement ◽  
Theory Analysis ◽  
Thermal Isolation ◽  
Electromagnetic Field Theory ◽  
Measurement Mode ◽  
Primary Power

This paper proposes a new method for determining the correction factor of a newly developed waveguide primary power measurement system (i.e., microcalorimeter), based on the electromagnetic field theory analysis for waveguide thermal isolation section (TIS) in foil short measurement mode. The new method determines the contribution of the power dissipated within the TIS into the correction factor, in term of the physical dimensions of the TIS. Performance comparison and analysis show that the newly proposed method can significantly reduce the measurement uncertainty when evaluating the correction factor of waveguide microcalorimeters.

Experimental and Clinical Tests with a New Method of Fluorine Prophylaxis of Dental Caries

1969 ◽  
Vol 3 (3) ◽  
pp. 281-289
Author(s):  
F. Marci ◽  
P.L. Negri ◽  
N. Staffolani
Keyword(s):  
Dental Caries ◽  
New Method ◽  
Clinical Tests

scholarly journals The Rough Model Method (RMM) Application to The Computation of Normal Depth in Circular Conduit

2014 ◽  
Vol 8 (1) ◽  
pp. 57-63
Author(s):  
Bachir Achour ◽  
Sabah Sehtal
Keyword(s):  
Turbulent Flow ◽  
Correction Factor ◽  
Linear Dimension ◽  
New Method ◽  
Entire Domain ◽  
Model Method ◽  
Rough Model ◽  
The Relationship

A new method is presented to compute the normal depth in circular conduit. This is the rough model method (RMM). It states that the linear dimension of a conduit or channel is equal to the linear dimension of a referential rough model corrected by the effect of a non-dimensional correction factor. The method is based on the Colebrook-White and Darcy-Weisbach relationships, applicable to the entire domain of turbulent flow. From the relationship governing the flow in the rough model, the normal depth in a circular conduit is explicitly deduced.

scholarly journals Falling Ball Viscometer using Inductive Proximity Sensor

2021 ◽  
Vol 9 (11) ◽  
pp. 326-328
Author(s):  
Bandaru Nithin Kumar Varma
Keyword(s):  
Correction Factor ◽  
Dynamic Viscosity ◽  
New Method ◽  
Proximity Sensor ◽  
Method Of Calculation ◽  
The One ◽  
Design Construction

Abstract: Viscosity is the one of the major parameters to be considered in fluid related experiments and also in many industries. A new method of calculation of Dynamic Viscosity using the Viscometer which is easy for experimentation, with less calculation efforts, simple in design, construction with min. investment and no or minimum maintenance. This Paper intends to find the viscosity of Opaque fluids using falling ball viscometer. Falling Ball Viscometer works with Strokes law as the correction factor is multiplied in the calculation. As the correction factor is derived from the outcomes from the experiment and C-Code was written to make the calculation more efficient.

An alternative to the geometric addition method for calculating the rise time of fast oscilloscopes and pulse generators

2017 ◽  
Vol 84 (2) ◽  
Author(s):  
Kai Baaske ◽  
Paul D. Hale ◽  
Thomas Kleine-Ostmann ◽  
Mark Bieler ◽  
Thorsten Schrader
Keyword(s):  
Systematic Error ◽  
Correction Factor ◽  
Rise Time ◽  
New Method ◽  
Time Base ◽  
Large Set ◽  
Addition Method ◽  
Pulse Generators ◽  
Time Base Distortion ◽  
Uncertainty Contribution

AbstractIn this paper, we propose a new method for calculating the rise time of pulse generators and oscilloscopes using a correction factor. This new method is advantageous over the well known geometric rule, also known as the root-sum-of-squares (RSS) rule, because its corresponding uncertainty contribution can be estimated, whereas the uncertainty assigned to the RSS method due to systematic error is typically unknown in any given measurement scenario. In our method, the correction factor is estimated from a large set of representative classical response functions. Furthermore, the systematic error caused by the time base distortion of sampling oscilloscopes is corrected in order to reduce the uncertainty of the calibration process.

Cell Wall Ultrastructure in Three Strains of a Cariogenic Streptococcus

1971 ◽  
Vol 29 ◽  
pp. 338-339
Author(s):  
M. J. Kramer ◽  
Alan L. Coykendall
Keyword(s):  
Cell Wall ◽  
Dental Caries ◽  
Streptococcus Mutans ◽  
Microscopic Study ◽  
Electron Microscopic Study ◽  
Genetic Heterogeneity ◽  
Morphological Characteristics ◽  
Electron Microscopic ◽  
Dna Reassociation ◽  
Wall Ultrastructure

During the almost 50 years since Streptococcus mutans was first suggested as a factor in the etiology of dental caries, a multitude of studies have confirmed the cariogenic potential of this organism. Streptococci have been isolated from human and animal caries on numerous occasions and, with few exceptions, they are not typable by the Lancefield technique but are relatively homogeneous in their biochemical reactions. An analysis of the guanine-cytosine (G-C) composition of the DNA from strains K-1-R, NCTC 10449, and FA-1 by one of us (ALC) revealed significant differences and DNA-DNA reassociation experiments indicated that genetic heterogeneity existed among the three strains. The present electron microscopic study had as its objective the elucidation of any distinguishing morphological characteristics which might further characterize the respective strains.

Selective Sampling and Orientation of Non-Homogeneous Tissues

1968 ◽  
Vol 26 ◽  
pp. 98-99
Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Light Microscopy ◽  
Random Sampling ◽  
New Method ◽  
Microscope Examination ◽  
Small Areas ◽  
Selective Sampling ◽  
Large Numbers ◽  
Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

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