A Study on Mathematical characteristics in Indian Carnatic Musicians

A turbo roundabout uses spiral circulatory roads for effectively counteracting the problems faced in modern multilane roundabouts. First developed in 1996, the turbo roundabout has an advantage over the conventional roundabout regarding capacity and safety. Turbo roundabouts are still in the developing phase in North America, but even in the European subcontinent where they exist in large numbers, reliable analytical studies on the critical parameters of roundabout visibility are lacking. Visibility (sight distance) helps to shape the geometry of the intersection and aids in safety. This paper presents the mathematical characteristics of the intersection geometry and intersection sight distance (ISD) of the turbo roundabout. Mathematical formulas are presented for the sight distance from the approaching vehicle to the conflicting-entering and circulating vehicles. The maximum lateral clearances to the conflicting vehicles are derived using mathematical optimization. The developed analytical method is verified graphically using AutoCAD. To assist in practical applications, design aids for the maximum lateral clearance are presented. The presented method and design aids should aid in promoting safety at turbo roundabouts.

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Physical and Mathematical Considerations About Laser Perimetry

Acta geneticae medicae et gemellologiae ◽

10.1017/s1120962300024069 ◽

1974 ◽

Vol 23 (S1) ◽

pp. 349-351 ◽

Cited By ~ 1

Author(s):

L. Favella ◽

L. Liuzzi ◽

F. Bartoli

Keyword(s):

White Light ◽

Laser Light ◽

Monochromatic Light ◽

Neon Laser ◽

Helium Neon Laser ◽

Helium Neon ◽

Mathematical Characteristics

The physical and mathematical characteristics of white light, monochromatic light, and laser light, are discussed with reference to the advantages offered by perimetry using a red helium-neon laser.

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Mathematical characteristics of flows with nonlinear and nonequilibrium transport

AIAA Journal ◽

10.2514/3.8884 ◽

1985 ◽

Vol 23 (1) ◽

pp. 151-153 ◽

Cited By ~ 1

Author(s):

Gustave J. Hokenson

Keyword(s):

Nonequilibrium Transport ◽

Mathematical Characteristics

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Insights into mathematical characteristics of adsorption models and physical meaning of corresponding parameters

Journal of Molecular Liquids ◽

10.1016/j.molliq.2018.01.073 ◽

2018 ◽

Vol 254 ◽

pp. 20-25 ◽

Cited By ~ 20

Author(s):

Qili Hu ◽

Qian Wang ◽

Chuanping Feng ◽

Zhenya Zhang ◽

Zhongfang Lei ◽

...

Keyword(s):

Physical Meaning ◽

Adsorption Models ◽

Mathematical Characteristics

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Coefficients of normal blood glucose regulation

Journal of Applied Physiology ◽

10.1152/jappl.1961.16.5.783 ◽

1961 ◽

Vol 16 (5) ◽

pp. 783-788 ◽

Cited By ~ 186

Author(s):

Victor W. Bolie

Keyword(s):

Experimental Data ◽

Blood Glucose ◽

Glucose Tolerance ◽

Differential Equations ◽

Distribution Volume ◽

Glucose Regulation ◽

Analogue Computer ◽

Peripheral Tissues ◽

Blood Glucose Regulation ◽

Mathematical Characteristics

A previously formulated glucose-insulin feed-back theory was simplified with appropriate assumptions for the purpose of determining which physiological sensitivity coefficients dominate the mathematical characteristics of the normal insulin and glucose tolerance curves. It was found from experimental data that these physiological coefficients approximate the well-known critical damping criteria of servomechanism theory. Correlations between theoretical and experimental results were made with some particular solutions of the necessary differential equations, obtained with the aid of an electronic analogue computer. Using a distribution volume of 17.5 liters for the 70-kg adult in three different methods of approach, it was found that the average coefficients of the insulin and glucose responses of the liver, pancreas, and peripheral tissues are approximately ⍺ = 0.780 unit/hr/unit, β = 0.208 unit/hr/g, γ = 4.34 g/hr/unit, and δ = 2.92 g/hr/g. Submitted on December 27, 1960

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Description of chemical systems by their properties

Pure and Applied Chemistry ◽

10.1351/pac200880081719 ◽

2008 ◽

Vol 80 (8) ◽

pp. 1719-1723

Author(s):

René Dybkær

Keyword(s):

Data Transmission ◽

Clinical Chemistry ◽

Property Values ◽

International Organization ◽

Statistical Characteristics ◽

International Union ◽

Chemical Systems ◽

Different Types ◽

Correct Data ◽

Mathematical Characteristics

Proper handling and communication of data on chemical systems require knowledge about the mathematical characteristics of different types of property and the unambiguous representation of singular properties. Using the terminology of the International Organization for Standardization (ISO), the concept "property" is generically divided according to various statistical characteristics of property values. The formatting of representation of dedicated kinds-of-property as elaborated by clinical chemists in the International Union of Pure and Applied Chemistry (IUPAC) and the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) should ensure correct data transmission between laboratory dialects in any chemical discipline.

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The Process of Student's Mathematic Abstract from Spatial Intelligence

Journal of Mathematics and Mathematics Education ◽

10.20961/jmme.v9i2.48396 ◽

2019 ◽

Vol 9 (2) ◽

pp. 24

Author(s):

Nor Khasanah ◽

Nurkaidah Nurkaidah ◽

Rosmala Dewi ◽

Yusuf Arkham Prihandika

Keyword(s):

Sampling Technique ◽

Low Level ◽

Spatial Intelligence ◽

Mathematical Abstraction ◽

Structural Awareness ◽

Class Viii ◽

Four Levels ◽

Main Instrument ◽

High Level ◽

Mathematical Characteristics

<p>Every student must have mathematical abstraction skills. Research with a qualitative approach aims to identify the mathematical abstraction process of students when working on geometric material problems in terms of spatial intelligence. By using a descriptive design, apart from the researcher as the main instrument, the mathematical abstraction test, the spatial intelligence test, and the interview reference were used as auxiliary instruments. A total of 6 students from class VIII were selected through purposive sampling technique which was taken from each category of spatial ability which had been classified into high, medium and low criteria. Based on data analysis, students' mathematical abstraction can be grouped into 4 levels, namely: recognition, representation, structural abstraction, and structural awareness. The conclusions of this study are: 1) students with a high level of spatial intelligence can achieve all four levels of mathematical abstraction characteristics and activities, namely recognition, representation, structural abstraction, and structural awareness. 2) students with moderate spatial intelligence can only achieve two levels of mathematical characteristics and abstraction activities, namely recognition and representation. 3) students with low-level spatial intelligence are only able to achieve one level of mathematical abstraction characteristics and activity, namely recognition where students are able to remember previous activities and experiences related to the problems at hand. This shows that students with moderate and low-level spatial intelligence do not have adequate abstraction skills in the concept of geometry.</p>

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