scholarly journals Reliable Prediction of the Octanol‐Air Partition Ratio

2021 ◽  
Author(s):  
Sivani Baskaran ◽  
Ying Duan Lei ◽  
Frank Wania
Keyword(s):  
Partition Ratio ◽  
Reliable Prediction

Dosimetry with 188Re-labelled monoclonal anti-CD66 antibodies

2006 ◽  
Vol 45 (03) ◽  
pp. 134-138 ◽  
Author(s):  
T. Kull ◽  
N. M. Blumstein ◽  
D. Bunjes ◽  
B. Neumaier ◽  
A. K. Buck ◽  
...  
Keyword(s):  
Monoclonal Antibody ◽  
Bone Marrow ◽  
Gamma Camera ◽  
Absorbed Dose ◽  
Correlation Coefficients ◽  
Residence Times ◽  
Reliable Prediction ◽  
Red Bone Marrow ◽  
Antibody Preparation ◽  
Simplified Method

SummaryAim: For the therapeutic application of radiopharmaceuticals the activity is determined on an individual basis. Here we investigated the accuracy for a simplified assessment of the residence times for a 188Re-labelled anti-CD66 monoclonal antibody. Patients, methods: For 49 patients with high risk leukaemia (24 men, 25 women, age: 44 ± 12 years) the residence times were determined for the injected 188Re-labelled anti-CD66 antibodies (1.3 ± 0.4 GBq, 5–7 GBq/mg protein, >95% 188Re bound to the antibody) based on 5 measurements (1.5, 3, 20, 26, and 44 h p.i.) using planar conjugate view gamma camera images (complete method). In a simplified method the residence times were calculated based on a single measurement 3 h p.i. Results: The residence times for kidneys, liver, red bone marrow, spleen and remainder of body for the complete method were 0.4 ± 0.2 h, 1.9 ± 0.8 h, 7.8 ± 2.1 h, 0.6 ± 0.3 h and 8.6 ± 2.1 h, respectively. For all organs a linear correlation exists between the residence times of the complete method and the simplified method with the slopes (correlation coefficients R > 0.89) of 0.89, 0.99, 1.23, 1.13 and 1.09 for kidneys, liver, red bone marrow, spleen and remainder of body, respectively. Conclusion: The proposed approach allows reliable prediction of biokinetics of 188Re-labelled anti-CD66 monoclonal antibody biodistribution with a single study. Efficient pretherapeutic estimation of organ absorbed dose may be possible, provided that a more stable anti-CD66 antibody preparation is available.

Adaptive Management of Information Network Protection with Analysis of Intruder's Actions

2018 ◽  
pp. 61-72 ◽  
Author(s):  
G. I. Korshunov ◽  
V. A. Lipatnikov ◽  
A. A. Shevchenko ◽  
V. Y. Malyshev
Keyword(s):  
Adaptive Control ◽  
Adaptive Management ◽  
Management Systems ◽  
Information Network ◽  
Practical Relevance ◽  
Operational Control ◽  
Security Measures ◽  
Reliable Prediction ◽  
Stochastic Uncertainty ◽  
Network Protection

Introduction:The known methods of adaptive management of information network protection with special security measures are not effective enough in modern conditions, as they only take into account collected and processed data on security events and do not analyze the dynamics of the actions.Purpose:Developing a method of adaptive control of information network protection based on the analysis of violator's actions.Results:A method has been proposed for adaptive management of information network protection. Unlike other known methods, it is based on analyzing the dynamics of the violator's actions and determining the situational confrontation parameters under stochastic uncertainty. The method includes situation monitoring, operational control of the sequence of violator's actions, modeling the attacker's strategy, determining the situational parameters with a reliable prediction of the intrusion strategy. During the analysis, the network administrator receives information about the priority purposes of an intruder, the tools used and the vulnerabilities of the network. This provides an opportunity to promptly take measures to increase the security of the network and avoid its compromise.Practical relevance: Тhis approach allows you to maintain the operation of automated management systems for an organization with integrated structure, taking into account the scaling in planning and making changes to the structure on the background of information confrontation at the required level when multiple threats are changing their dynamics. 

ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches

2019 ◽  
Vol 59 (11) ◽  
pp. 4587-4601 ◽  
Author(s):  
Zhenxing Wu ◽  
Tailong Lei ◽  
Chao Shen ◽  
Zhe Wang ◽  
Dongsheng Cao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cytochrome P450 ◽  
Drug Discovery ◽  
Reliable Prediction ◽  
Human Cytochrome

Counter-current distribution with a varying partition ratio

1966 ◽  
Vol 21 ◽  
pp. 119-121 ◽  
Author(s):  
J.A.D. Jeffreys
Keyword(s):  
Current Distribution ◽  
Partition Ratio ◽  
Counter Current ◽  
Counter Current Distribution

scholarly journals PEDRERA. Positive Energy District Renovation Model for Large Scale Actions

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2833
Author(s):  
Paolo Civiero ◽  
Jordi Pascual ◽  
Joaquim Arcas Abella ◽  
Ander Bilbao Figuero ◽  
Jaume Salom
Keyword(s):  
Simulation Model ◽  
Performance Indicators ◽  
Large Scale ◽  
Key Performance Indicators ◽  
Positive Energy ◽  
Design Phase ◽  
Multiple Sources ◽  
Reliable Prediction ◽  
Sensitive Analysis ◽  
Web Platform

In this paper, we provide a view of the ongoing PEDRERA project, whose main scope is to design a district simulation model able to set and analyze a reliable prediction of potential business scenarios on large scale retrofitting actions, and to evaluate the overall co-benefits resulting from the renovation process of a cluster of buildings. According to this purpose and to a Positive Energy Districts (PEDs) approach, the model combines systemized data—at both building and district scale—from multiple sources and domains. A sensitive analysis of 200 scenarios provided a quick perception on how results will change once inputs are defined, and how attended results will answer to stakeholders’ requirements. In order to enable a clever input analysis and to appraise wide-ranging ranks of Key Performance Indicators (KPIs) suited to each stakeholder and design phase targets, the model is currently under the implementation in the urbanZEB tool’s web platform.

scholarly journals Run-Up Simulation of a Semi-Floating Ring Supported Turbocharger Rotor Considering Thrust Bearing and Mass-Conserving Cavitation

Lubricants ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 44
Author(s):  
Christian Ziese ◽  
Cornelius Irmscher ◽  
Steffen Nitzschke ◽  
Christian Daniel ◽  
Elmar Woschke
Keyword(s):  
Reynolds Equation ◽  
Energy Equation ◽  
Thrust Bearing ◽  
Three Dimensional ◽  
Reliable Prediction ◽  
Two Phase ◽  
Hydrodynamic Bearings ◽  
Thrust Bearings ◽  
Run Up ◽  
The Impact

The vibration behaviour of turbocharger rotors is influenced by the acting loads as well as by the type and arrangement of the hydrodynamic bearings and their operating condition. Due to the highly non-linear bearing behaviour, lubricant film-induced excitations can occur, which lead to sub-synchronous rotor vibrations. A significant impact on the oscillation behaviour is attributed to the pressure distribution in the hydrodynamic bearings, which is influenced by the thermo-hydrodynamic conditions and the occurrence of outgassing processes. This contribution investigates the vibration behaviour of a floating ring supported turbocharger rotor. For detailed modelling of the bearings, the Reynolds equation with mass-conserving cavitation, the three-dimensional energy equation and the heat conduction equation are solved. To examine the impact of outgassing processes and thrust bearing on the occurrence of sub-synchronous rotor vibrations separately, a variation of the bearing model is made. This includes run-up simulations considering or neglecting thrust bearings and two-phase flow in the lubrication gap. It is shown that, for a reliable prediction of sub-synchronous vibrations, both the modelling of outgassing processes in hydrodynamic bearings and the consideration of thrust bearing are necessary.

Sign in / Sign up

Export Citation Format

Share Document