Random coupling models for intramolecular dynamics. I. Mathematical approach

1980 ◽  
Vol 72 (3) ◽  
pp. 2054-2069 ◽  
Author(s):  
Benny Carmeli ◽  
Abraham Nitzan
Keyword(s):  
Mathematical Approach ◽  
Intramolecular Dynamics ◽  
Random Coupling

On a random coupling model for intramolecular dynamics

1978 ◽  
Vol 58 (2) ◽  
pp. 310-316 ◽  
Author(s):  
Benny Carmeli ◽  
Abraham Nitzan
Keyword(s):  
Coupling Model ◽  
Intramolecular Dynamics ◽  
Random Coupling

A mathematical approach to data evaluation with focus on prediction of minimal residual disease in pediatric ALL

2012 ◽  
Vol 224 (03) ◽  
Author(s):  
A Torge ◽  
M Zimmermann ◽  
A Möricke ◽  
R Köhler ◽  
A Schrauder ◽  
...  
Keyword(s):  
Minimal Residual Disease ◽  
Residual Disease ◽  
Data Evaluation ◽  
Mathematical Approach ◽  
Pediatric All ◽  
Minimal Residual

269. Use of an Objective Mathematical Approach to Facilitate Assigning Skin Notations

2000 ◽  
Author(s):  
M. Boeniger ◽  
H. Ahlers ◽  
B. Lushniak ◽  
R. Mickelsen ◽  
A. Morton ◽  
...  
Keyword(s):  
Mathematical Approach

The Effect of Realistic Mathematic Approach on Students’ Learning Motivation

2019 ◽  
Vol 2 (2) ◽  
pp. 145
Author(s):  
Shindy Lestari ◽  
Syahrilfuddin Syahrilfuddin ◽  
Neni Hermita ◽  
Zetra Hainul Putra
Keyword(s):  
Public School ◽  
Research Method ◽  
T Test ◽  
Learning Motivation ◽  
Fifth Grade ◽  
Average Score ◽  
Mathematical Approach ◽  
Fifth Grade Students ◽  
Post Test ◽  
Realistic Mathematic

This research is to determine the effect of realistic mathematical approach on students’ learning motivation. The research method is pre-experiment of one group pretest posttest design. This study was conducted with 34 fifth grade students from a public school in Pekanbaru, Indonesia. The results indicate that students’ learning motivation significantly increases. Among six indicators measuring students’ learning motivation, the indicator of interesting activities in learning is the most increase, from 80.76% in pre-test to 86.40% in post-test. The average score of pretest in form of students’ learning motivation questionnaire before applying treatment was 90.56 while score posttest after treatment was 95,09 and the results of the research hypotheses using the comparative t-test tcount (6.997) > ttable (2.039). This means that there is an effect of applying the realistic mathematical approach to students’ learning motivation.

Mathematical myocardium elasticity properties modeling in echocardiography study of diastolic and systolic function of the left ventricle (Preprint)

2020 ◽  
Author(s):  
Lucian Popescu ◽  
Nelu-Mihai Trofenciuc ◽  
Simina Crisan ◽  
Aurora Diana Bordejevic ◽  
Alexandru Mischie ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Cardiac Cycle ◽  
Systolic Function ◽  
Study Group ◽  
Mathematical Approach ◽  
Energetic Approach ◽  
Elasticity Property ◽  
Property Modeling ◽  
Coefficient Of Elasticity ◽  
Mechanical Movement

BACKGROUND A systematic and quantitative comparative analysis for this subject has not been done so far. Thus defined, the coefficient of elasticity is a whole new dimension. OBJECTIVE This study proposes a new mathematical myocardium elasticity property modeling in characterizing of the ventricular diastole and systole. METHODS The study group consisted of 2283 consecutive patients evaluated by echocardiography. The mathematical approach is made starting from energetic consideration, by applying the energy conservation low for the blood entering from left atrium into left ventricle during diastole period. RESULTS Analyzing all the data obtained we developed two brand new coefficients to describe the cardiac cycle and we had verified if the coefficients are correlated with classically used parameters. We consider that the energetic approach take into consideration the whole mechanical movement that is happening inside the heart and can offer a very synthetic and scientific solid view about the cardiac cycle. CONCLUSIONS The new coefficients are simply to be calculated and as you will see from our research the correlation with other classically used parameters is obvious. The direct physical approach of blood flow within the heart can generate new, beneficial perspectives in diagnosing various heart conditions, or even in understanding how works the filling of the ventricles and atria during a heartbeat.

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