scholarly journals Operational Procedures in the Theory of the Drug Release from Chitosan Hydrogels

2018 ◽  
Vol 55 (4) ◽  
pp. 590-594
Author(s):  
Anda Mihaela Craciun ◽  
Georgiana Serban ◽  
Iulia Crumpei ◽  
Maricel Agop ◽  
Gabriela Cioca
Keyword(s):  
Differential Equation ◽  
Theoretical Model ◽  
Drug Release ◽  
Empirical Models ◽  
Entire Class ◽  
Model Based ◽  
Chitosan Hydrogels ◽  
Fractal Differential Equation ◽  
Release Processes

We build a theoretical model based on a generalization of harmonic applications of Misner-type. It results a sine-Gordon type fractal differential equation whose elliptical solutions can describe, through a convenient choice of fractal dynamic constants, various modes of drug release. Thus, the entire class of empirical models (Higuchi, Korsmeyer-Peppas, Peppas-Sahlin) describing the drug release processes can be dispensed with.

Nodule count in ductile iron: theoretical model based on Weibull statistics

2005 ◽  
Vol 18 (3) ◽  
pp. 156-162 ◽  
Author(s):  
E. Fraś ◽  
K. Wiencek ◽  
M. Górny ◽  
H. F. López
Keyword(s):  
Theoretical Model ◽  
Ductile Iron ◽  
Weibull Statistics ◽  
Nodule Count ◽  
Model Based

Morning care of patients with Alzheimer-type dementia. A theoretical model based on direct observations

1986 ◽  
Vol 11 (4) ◽  
pp. 369-378 ◽  
Author(s):  
P. O. Sandman ◽  
A. Norberg ◽  
R. Adolfsson ◽  
K. Axelsson ◽  
V. Hedly
Keyword(s):  
Theoretical Model ◽  
Alzheimer Type ◽  
Model Based ◽  
Direct Observations ◽  
Alzheimer Type Dementia

The curve of knowledge transfer: a theoretical model

2019 ◽  
Vol 25 (1) ◽  
pp. 10-26 ◽  
Author(s):  
Pasquale De Luca ◽  
Mirian Cano Rubio
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Theoretical Model ◽  
Knowledge Transfer ◽  
Transfer Process ◽  
Content Type ◽  
Positive Effects ◽  
Variation Rate ◽  
Effectiveness And Efficiency ◽  
Amount Of Knowledge

Purpose The knowledge transfer plays a key role in the firm’s capability to develop and to maintain a strategic competitive advantage over time. The capability of the firm to develop an efficient and effective process of knowledge transfer increases the internal skills and then the capability to compete in the business with positive effects on the performance. In order to maximize the effectiveness and efficiency of the knowledge transfer process it must be consider two main variables: the amount of knowledge to be transferred and the speed of the process. In this contest, the purpose of this paper is to developed a theoretical model, defined the knowledge transfer curve, able to evaluate the knowledge transfer process on the basis of its speed. Design/methodology/approach The curve of the knowledge transfer is based on the methodology of the learning curve. The curve of the knowledge transfer process can be evaluated on the basis of two main variables: the first is the content of knowledge to be transferred. It refers to the quality and quantity of the information to be transferred within the firm; and the second is the speed of the knowledge transfer process. It refers to the time in which the knowledge transfer can be realized. The function of the knowledge transfer is defined using ordinary differential equation. Findings There is an inverse relationship between time t and the variation rate r. The higher the variable r, the faster the knowledge transfer toward the level K. Therefore, the variable r measures the efficiency and effectiveness of the knowledge transfer process. On the basis of these considerations, manager must evaluate their policies about the knowledge transfer on the basis of their effects on the variable r: only the policy that increases its value can be considered effective for the knowledge transfer process. Originality/value The originality resides in the development of a theoretical model that is able to capture and measure the effectiveness and efficiency of the knowledge transfer. It is possible to define a curve of knowledge transfer on the basis of these two variables: content of the knowledge to be transferred and the time of the transfer process, by using an ordinary differential equation.

The Dilemma of Defining Abduction

2012 ◽  
pp. 199-219
Keyword(s):  
Theoretical Model ◽  
Logical Operation ◽  
The Third ◽  
Model Based

Although Peirce states that abduction is the “only logical operation which introduces any new idea,” many, if not most, explanatory hypotheses offer nothing new at all. They do not seem to be, in the sense Peirce means, abductively derived. In various writings, Peirce provides at least four different descriptions of abduction. Italian computational philosopher Lorenzo Magnani proposes three types of abduction: theoretical, model-based, and creative (the final chapter of this book discusses the third type). In her 2005 paper for Semiotica (“Abduction as an Aspect of Retroduction”), Chiasson points out that Peirce uses two distinct and contradictory terms to signify these processes. The purpose of this chapter is to clarify the various ways abduction has been defined. In addition to defining abduction as an aspect of retroduction, the authors discuss induction, with which abduction is often confounded. This discussion of induction includes the concepts diagnosis and inference to the best explanation, both of which can be achieved inductively (and deductively as well, though deduction will not be addressed here), as well as abductively.

Sign in / Sign up

Export Citation Format

Share Document