scholarly journals The Hill Model for Binding Myosin S1 to Regulated Actin Is not Equivalent to the McKillop–Geeves Model

2012 ◽  
Vol 417 (1-2) ◽  
pp. 112-128 ◽  
Author(s):  
Srboljub M. Mijailovich ◽  
Xiaochuan Li ◽  
R. Hugh Griffiths ◽  
Michael A. Geeves
Keyword(s):  
Hill Model ◽  
Myosin S1 ◽  
The Hill

scholarly journals SENSIBILIDAD DE LA GARRAPATA COMÚN DEL BOVINO Rhipicephalus (Boophilus) microplus A IVERMECTINA ESTIMADA CON EL MODELO SIGMOIDEO DE RESPUESTA MÁXIMA O DE HILL

2021 ◽  
Vol 19 (suplemento) ◽  
Author(s):  
J Torrents
Keyword(s):  
Statistical Analysis ◽  
Boophilus Microplus ◽  
Susceptible Strain ◽  
Maximum Response ◽  
Hill Coefficient ◽  
Concentration Effect ◽  
Hill Model ◽  
Low Concentration ◽  
Immersion Technique ◽  
The Hill

The aim of this study was to obtain pharmacodynamics parameters to detect resistance or susceptibility of R. microplus strains to ivermectin (IVM). Two larvae samples; a susceptible strain (S) and field isolation (T) were treated with increasing concentrations of IVM using the larvae immersion technique the efficacy values measured at 24 hours were analysed with the sigmoidal maximum response so called Hill model as statistical analysis. The results obtained showed that the IVM have an all or nothing response represented by the Hill coefficient value >1 in both samples. Additionally, a low concentration effect was observed as E0 de 12.83% (S) and 9.91% (T). The field isolation larvae were susceptible to IVM in comparison with the susceptible strain by the resistance ratio (RR) which in one case was not significantly greater that one (RR50= 0.756 and RR90=1.009).

Turbulent Thermal Diffusion Over a Locally-Heated Two-Dimensional Hill

2010 ◽  
Author(s):  
T. Houra ◽  
Y. Nagano ◽  
M. Tagawa
Keyword(s):  
Thermal Diffusion ◽  
Passive Scalar ◽  
Heated Wall ◽  
Windward Side ◽  
Two Dimensional ◽  
Hill Model ◽  
Mean Temperature ◽  
The Mean ◽  
The Hill ◽  
Heated Case

We measure flow and thermal fields over a locally heated two-dimensional hill. The heated sections on the wall are divided into upstream and downstream portions of the hill model. These sections are heated independently, yielding various thermal boundary conditions in contrast to the uniformly heated case. In the separated region formed behind the hill, it is found that the mean temperature profiles in the uniformly heated case are well decomposed into the separately heated cases. This is because the velocity fluctuation produced by the shear layer formed behind the hill is large, so the superposition of a passive scalar in the thermal field can be successfully realized. The rapid increase in the mean temperature near the uniformly heated wall should be due to the heat transfer near the leeward slope of the hill. On the other hand, the mean temperature distributions away from the wall are strongly affected by the turbulent thermal diffusion on the windward side of the hill.

scholarly journals Frontal Analysis Continuous Capillary Electrophoresis Study on the Interaction of an Amphiphilic Alternating Copolymer with Triton X-100

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Akihito Hashidzume ◽  
Takuya Shimomachi ◽  
Takahiro Sato
Keyword(s):  
Capillary Electrophoresis ◽  
Cooperative Interaction ◽  
Frontal Analysis ◽  
Hill Model ◽  
Alternating Copolymers ◽  
Alternating Copolymer ◽  
Binding Isotherms ◽  
Sodium Maleate ◽  
Triton X ◽  
The Hill

The interaction of amphiphilic alternating copolymers of sodium maleate and dodecyl vinyl ether (Mal/C12) with a nonionic surfactant, Triton X-100 (TX), was investigated by frontal analysis continuous capillary electrophoresis (FACCE). The binding isotherms obtained from FACCE data were indicative of weak cooperative interaction for all the polymers examined. The cooperative interaction was also analyzed by the Hill model, and the results were compared with the previous results on the interaction of statistical copolymers of sodium 2-acrylamido-2-methylpropanesulfonate andN-dodecylmethacrylamide with TX.

Thermally-induced stresses in thin aluminum layers grown on silicon

2004 ◽  
Vol 19 (1) ◽  
pp. 74-76 ◽  
Author(s):  
E. Eiper ◽  
R. Resel ◽  
C. Eisenmenger-Sittner ◽  
M. Hafok ◽  
J. Keckes
Keyword(s):  
Thin Films ◽  
Temperature Hysteresis ◽  
X Ray Diffraction ◽  
Hill Model ◽  
Thermally Induced ◽  
X Ray ◽  
Plastic Yield ◽  
Thin Aluminum ◽  
Different Temperatures ◽  
The Hill

Elevated-temperature X-ray diffraction (XRD) was used to evaluate residual stresses in aluminum thin films on Si(100). The films with a thickness of 2 μm were deposited by magnetron sputtering at different temperatures, and XRD measurements were carried out with the heating stage DHS 900 mounted on a Seifert 3000 PTS diffractometer. The strains were characterized always in temperature cycles from room temperature up to 450 °C with steps of 50 °C. Stress values in weakly textured thin films were calculated using the Hill model, applying temperature-dependent X-ray elastic constants of aluminum. The thin films exhibit specific temperature hysteresis of stresses depending on the deposition temperature (being from the range of 50 °C–300 °C). The results allow us to quantify contributions of intrinsic and extrinsic stresses to the total stress in the layers as well as to evaluate phenomena related to plastic yield. The comparison of the data from thin films deposited at different temperatures indicate a dependence of intrinsic stresses on the substrate temperature during deposition as well as the presence of the plastic yield in films during the cool-down after deposition

Strategically Logical and Ethical Decision-Making in Leadership and Management

2017 ◽  
pp. 1709-1718
Author(s):  
Sara Rodberg
Keyword(s):  
Decision Making ◽  
Control Theory ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Team Leadership ◽  
Organizational Structures ◽  
Hill Model ◽  
Leadership And Management ◽  
Critical Leadership ◽  
The Hill

The contents of this report explain what strategically logical and ethical decision making is for leaders and managers and how to identify problems and apply logical and ethical decision making practices. Several methods included describe approaches to ethical and logical decision making and models that have been studied and revised to meet the needs of today's organizational structures. The models described include the Hill Model for Team Leadership, McGrath's Critical Leadership Functions, Control Theory, and the Leader-Participation Model of Decision Making. The purpose for this material involves the need to provide a comprehensive guide to understanding team dynamics as they pertain to the decision making process in leadership. Understanding the ethical and logical components of a team encourages leaders to make decisions that are involved with the sometimes complicated implementation of the decision and this material offers guidance for recognizing which decision making strategy best serves the organization's objectives.

Lambert problem solution in the hill model of motion

2004 ◽  
Vol 90 (3-4) ◽  
pp. 331-354 ◽  
Author(s):  
Alexander Sukhanov ◽  
Antonio F. Bertachini A. Prado
Keyword(s):  
Problem Solution ◽  
Hill Model ◽  
Lambert Problem ◽  
The Hill

scholarly journals Optimal Design for Estimating Parameters of the 4-Parameter Hill Model

2003 ◽  
Vol 1 (3) ◽  
pp. 154014203902499 ◽  
Author(s):  
Leonid A. Khinkis ◽  
Laurence Levasseur ◽  
Hélène Faessel ◽  
William R. Greco
Keyword(s):  
Laboratory Experiments ◽  
Confidence Region ◽  
Middle Part ◽  
Optimal Designs ◽  
Parameter Estimates ◽  
Hill Model ◽  
Estimated Parameters ◽  
The Hill ◽  
Parameter Values ◽  
True Values

Many drug concentration-effect relationships are described by nonlinear sigmoid models. The 4-parameter Hill model, which belongs to this class, is commonly used. An experimental design is essential to accurately estimate the parameters of the model. In this report we investigate properties of D-optimal designs. D-optimal designs minimize the volume of the confidence region for the parameter estimates or, equivalently, minimize the determinant of the variance-covariance matrix of the estimated parameters. It is assumed that the variance of the random error is proportional to some power of the response. To generate D-optimal designs one needs to assume the values of the parameters. Even when these preliminary guesses about the parameter values are appreciably different from the true values of the parameters, the D-optimal designs produce satisfactory results. This property of D-optimal designs is called robustness. It can be quantified by using D-efficiency. A five-point design consisting of four D-optimal points and an extra fifth point is introduced with the goals to increase robustness and to better characterize the middle part of the Hill curve. Four-point D-optimal designs are then compared to five-point designs and to log-spread designs, both theoretically and practically with laboratory experiments. D-optimal designs proved themselves to be practical and useful when the true underlying model is known, when good prior knowledge of parameters is available, and when experimental units are dear. The goal of this report is to give the practitioner a better understanding for D-optimal designs as a useful tool for the routine planning of laboratory experiments.

Sign in / Sign up

Export Citation Format

Share Document