Application of the Bjerrum association model to volumes of electrolytes in water and acetonitrile

1996 ◽  
Vol 25 (2) ◽  
pp. 113-134 ◽  
Author(s):  
Jean-Fran�ois C�t� ◽  
Jacques E. Desnoyers ◽  
Jean-Claude Justice
Keyword(s):  
Association Model ◽  
Volumes Of Electrolytes

Linguistic Association Model for Tibetan-Mandarin-English Trilingual

2009 ◽  
Vol 41 (3) ◽  
pp. 208-219 ◽  
Author(s):  
Zhan-Ling CUI ◽  
Ji-Jia ZHANG
Keyword(s):  
Association Model

scholarly journals The association behaviour of β-lactamases. Sedimentation equilibrium studies in ammonium sulphate solutions

1986 ◽  
Vol 237 (2) ◽  
pp. 511-517 ◽  
Author(s):  
E H Braswell ◽  
J R Knox ◽  
J M Frère
Keyword(s):  
Equilibrium Constants ◽  
Solubility Limit ◽  
Sedimentation Equilibrium ◽  
Association Model ◽  
Sodium Cacodylate ◽  
Dimerization Constant ◽  
Equilibrium Studies ◽  
Crystal Forms ◽  
Beta Lactamases ◽  
Equilibrium Sedimentation

The beta-lactamases (EC 3.5.2.6) from TEM plasmid RP4, Bacillus licheniformis 749/C and Enterobacter cloacae P99 were studied in solution over a wide concentration range by equilibrium sedimentation. Though crystal symmetries indicate that all three enzymes are potentially dimeric in their crystal forms, in 50 mM-sodium cacodylate at pH 6.5 the enzymes show only a small tendency to associate, indicated by a weight-average Mr (Mw) at 3% (w/v) concentration about 9% greater than that of the monomer. Although the mode of association could not be determined, this extent of association corresponded to a dimerization constant of about 2 × 10(2) M-1. In 2.1 M-(NH4)2SO4 the B. licheniformis enzyme shows some association at concentrations over 1%, displaying an Mw value at 7% concentration about 60% more than the monomer. Under the same conditions Mw for the Entero. P99 enzyme is about 60% greater than the monomer near the solubility limit of about 2%. However, the Mw for the TEM enzyme is over twice that of the monomer at its solubility limit (3%) in 1.7 M-(NH4)2SO4. Fitting the sedimentation data of the TEM enzyme in 1.7 M-(NH4)2SO4 with a dimerization model and an indefinite-isodesmic-association model yielded equilibrium constants of 1.5 × 10(4) and 3.3 × 10(2) M-1 respectively, with the indefinite-isodesmic model giving the better fit. Fitting the data for the other two enzymes yielded values of 1.4 × 10(3) and 1.7 × 10(2) M-1 respectively for the Entero. P99 enzyme and 4.5 × 10(2) and 45 M-1 respectively for the B. licheniformis enzyme. It could not be determined which model was the better fit for these two enzymes. Since none of the beta-lactamases studied here showed strong evidence of the terminal aggregate being a dimer, we conclude that crystalline dimers, if they exist, will not be tightly associated or physiologically significant.

Topic transition in casual conversation: An association model

Semiotica ◽  
2002 ◽  
Vol 2002 (138) ◽  
Author(s):  
Akio Yabuuchi
Keyword(s):  
Association Model

Microstructural Association Model for Upscaling Prediction of Asphalt Concrete Dynamic Modulus

2013 ◽  
Vol 25 (9) ◽  
pp. 1153-1161 ◽  
Author(s):  
B. Shane Underwood ◽  
Y. Richard Kim
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Association Model

scholarly journals A Relevant Customer Identification Algorithm Based on the Internet Financial Platform

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guo Yangyudongnanxin
Keyword(s):  
Social Relationship ◽  
Search Algorithm ◽  
Classification Model ◽  
The Internet ◽  
Identification Algorithm ◽  
Association Model ◽  
Intelligent Search ◽  
Average Sampling ◽  
Customer Classification ◽  
Customer Identification

In order to improve the intelligent search capabilities of Internet financial customers, this paper proposes a search algorithm for Internet financial data. The proposed algorithm calculates the customers corresponding to the two selected financial platforms based on the candidate customer set selected from the seed dataset and combined with the restored social relationship. Moreover, it also calculates the similarity of each field between the pairs. Furthermore, this article proposes an entity customer classification model based on logistic regression. Through the SNC model, threshold propagation, and random propagation, the model is transformed into an algorithm that identifies the associated customers, eliminates redundant customers, and realizes associated user identification. Experimental results verify that pruning increases the accuracy of identifying related customers by 8.44%. The average sampling accuracy of the entire customer association model is 79%, the lowest accuracy is 40%, and the highest is 1. From the sampling results, the overall recognition effect of the model reaches the expected goal.

scholarly journals A possible model for estimating birth length of babies from common parental variables using a sample of families in Lagos, Nigeria

2021 ◽  
Vol 21 (1) ◽  
pp. 349-56
Author(s):  
Idowu Adewumi Taiwo ◽  
Adenike Adeleye ◽  
Ijeoma Chinwe Uzoma
Keyword(s):  
Postnatal Care ◽  
Birth Length ◽  
Government Hospital ◽  
Maternal Weight ◽  
Association Model ◽  
Childhood Growth ◽  
Explanatory Variables ◽  
Parental Height ◽  
Model Correlation ◽  
Pregnancy And Birth

Background: Length at birth is important for evaluating childhood growth and development. It is of interest in Pediatrics because of its implications for perinatal and postnatal morbidity and mortality. Predicting birth length will be useful in an- ticipating and managing possible complications associated with pregnancy and birth of babies with abnormal birth length. Objective: The aim was to identify easily accessible parental determinants of baby’s birth length in Lagos, Nigeria, using a sample of patients attending a government hospital. Methods: Parental anthropometrics and other data were obtained from 250 couples by actual measurements, oral interviews and questionnaires. Baby’s birth length was measured immediately after delivery by qualified, a well-trained obstetric nurse, and association between parental and offspring parameters were assessed. Results: Weight gain, maternal weight, parity and mid-parental height were the significant parental explanatory variables of offspring birth length. They were the most suitable variables for a generated model for predicting babies’ birth length from parental variables in the study. Conclusion: A model that might be useful for predicting babies’ birth length from easily accessible parental variables was produced. This model may complement ultrasonographic data for predicting baby’s birth length with a view to achieving better perinatal and postnatal care. Keywords: Parental anthropometrics; birth length; association; model; correlation.

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