The relationship between drug input and mean residence time in the body

1986 ◽  
Vol 7 (6) ◽  
pp. 577-583 ◽  
Author(s):  
Meir Bialer ◽  
Zee M. Look ◽  
B. Michael Silber ◽  
Avraham Yacobi
Keyword(s):  
Residence Time ◽  
Mean Residence Time ◽  
The Body ◽  
The Relationship

Correlation Between In Silico Physicochemical Characteristics of Drugs and Their Mean Residence Time in Human and Dog

2012 ◽  
Vol 31 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Tomasz Grabowski ◽  
Jerzy Jan Jaroszewski ◽  
Shayne Cox Gad ◽  
Marcin Feder
Keyword(s):  
Mathematical Model ◽  
Residence Time ◽  
Mean Residence Time ◽  
Physicochemical Parameters ◽  
Physicochemical Characteristics ◽  
Pharmacokinetic Data ◽  
Specific Drug ◽  
Highly Correlated ◽  
Parameter Values ◽  
The Relationship

The correlation between 52 physicochemical parameters and mean residence time (MRT) for 27 drugs used in human and dog were investigated. The physicochemical parameter values calculated provided a basis for deriving a series of arithmetic expressions, which were used to build a mathematical model describing the relationship between them and the MRT values. From the entire set of analyzed parameters, a subset of 14 was identified that contributed to the derivation of an arithmetic expression: [Formula: see text] the value of which is highly correlated with the MRT value in dogs ( P < .001) and allowed prediction of the MRT predicted (MRT(pred)). In humans, no correlation was found that allowed the calculation of MRT(pred). These results indicate that predicting the pharmacokinetics of any specific drug for humans based on pharmacokinetic data obtained in the dog should be undertaken with knowledge of the inherent limitations.

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

CONCEPTUALISING RISK CULTURE ON ERM IMPLEMENTATION IN CONSTRUCTION COMPANIES

2020 ◽  
Vol 17 (1) ◽  
pp. 59
Author(s):  
Ching Ching Wong
Keyword(s):  
Risk Management ◽  
Risk Identification ◽  
The Body ◽  
Risk Indicators ◽  
Construction Companies ◽  
Risk Appetite ◽  
Risk Culture ◽  
Risk Treatment ◽  
Managing Risk ◽  
The Relationship

Enterprise Risk Management (ERM) is an effective technique in managing risk within an organization strategically and holistically. Risk culture relates to the general awareness, attitudes and behaviours towards risk management in an organisation. This paper presents a conceptual model that shows the relationship between risk culture and ERM implementation. The dependent variable is ERM implementation, which is measured by the four processes namely risk identification and risk assessment; risk treatment; monitor and consult; communicate and consult. The independent variables under risk culture are risk policy and risk appetite; key risk indicators; accountability; incentives; risk language and internal relationships. This study aims to empirically test the relationship between risk culture and ERM implementation among Malaysian construction public listed companies. Risk culture is expected to have direct effects and significantly influence ERM. This study contributes to enhance the body of knowledge in ERM especially in understanding significant of risk culture that influence its’ implementation from Malaysian perspective.

Structural Mediation Model of Information System and Sustainable Performance of UAE Manufacturing Sector

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Mohamed Ahmed Darwish Abdulla Larii ◽  
◽  
Fatma Ahmed Lari ◽  
Mohamed Ahmed Darwish Abdulla Lari ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Manufacturing Sector ◽  
Organisational Culture ◽  
The Body ◽  
Mediating Effect ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Mediation Model ◽  
Sustainable Performance ◽  
The Relationship

This study intends to find out the mediating effect of organisational culture on the relationship between information system and sustainable performance of manufacturing sector in UAE. This study used AMOS-SEM software to develop mediation model that linking the mediating relationships between Information System, Organisational Culture and Sustainable operation Performance. Data was collected through questionnaire survey among the operation staff of Abu Dhabi manufacturing companies. A total 250 questionnaires were distributed however 205 were returned and only 200 are valid which indicates a response rate of 80%. The analysis found that TPS has positive but not significant effect to SP; OIS has positive but not significant effect to SP; FMW has a positive and significant effect on SP; SDS has a negative and not significant effect to SP and SP has positive but not significant effect OC. For the path relationship between the four exogenous variables (TPS, OIS, SDS, and FMW) and the mediator variable (OC), the results are TPS has positive and significant effect to OC; OIS has positive but not significant effect to OC; FMW has positive and significant effect to OC and SDS has positive and not significant effect to OC. Collectively, the five exogenous constructs (TPS, OIS, SDS, FMW and OC) explained 89% variation in operational performance and 86% of the variation in organisational culture. However, for a mediator, it was found that OC has no significant mediating effect on the relationship between TPS and SP; OC has no significant mediating effect on the relationship between OIS and SP; OC has no significant mediating effect on the relationship between SDS and SP and OC has no significant mediating effect on the relationship between FMW and SP. it can be concluded that there is a positive relationship between information system dimensions and operational performance. However organizational culture has no contributing any mediating effect to the relationship. These findings have contributed to the body of knowledge and could be shared among the UAE manufacturing practitioners.

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