scholarly journals Experimental Tubulogenesis Induction Model in the Mouse

2019 ◽  
pp. 39-51
Author(s):  
Aleksandra Rak-Raszewska
Keyword(s):  
Induction Model

Development of a Culture Sub-population Induction Model: Signaling Pathways Synergy and Taxanes Production byTaxuscanadensis

2006 ◽  
Vol 22 (6) ◽  
pp. 1671-1682
Author(s):  
Ryan S. Senger ◽  
Muenduen Phisalaphong ◽  
M. Nazmul Karim ◽  
James C. Linden
Keyword(s):  
Signaling Pathways ◽  
Induction Model

scholarly journals On the crustal bias of repeat stations in Romania

2013 ◽  
Vol 55 (6) ◽  
Author(s):  
Venera Dobrica ◽  
Crisan Demetrescu ◽  
Razvan Greculeasa ◽  
Anca Isac
Keyword(s):  
Magnetic Field ◽  
External Magnetic Field ◽  
Curie Temperature ◽  
Magnetic Induction ◽  
Electromagnetic Induction ◽  
Reference Station ◽  
Lateral Variation ◽  
Field Campaigns ◽  
Induction Model ◽  
Geomagnetic Measurements

<p>A magnetic induction model has been applied to recordings obtained in 2010 during the field campaigns for geomagnetic measurements at the 26 repeat stations of the Romanian secular variation network. The model is based on the observation that a variable external magnetic field induces a response of the Earth's interior not only by electromagnetic induction, but also by magnetic induction in the magnetic rocks above the Curie temperature. The model computes coefficients of a linear relationship between recorded values of a certain geomagnetic element (X, Y, Z, or F) at the repeat station and recorded X, Y, Z values at a reference station (in this case, SUA observatory). Coefficients depend on magnetic permeabilities of rocks beneath the station and stand as a proxy for the anomaly bias characterizing the site. Maps of the lateral variation of this type of information were obtained and discussed.</p>

scholarly journals Sensitivity study of ring-shaped electrostatic sensor based on nonparametric estimation

2021 ◽  
Vol 2121 (1) ◽  
pp. 012019
Author(s):  
Zhe Kan ◽  
Yuanzhe Li
Keyword(s):  
Gaussian Distribution ◽  
Relative Permittivity ◽  
Goodness Of Fit ◽  
Estimation Method ◽  
Kernel Estimation ◽  
Sensitivity Study ◽  
Simulation Software ◽  
Spatial Sensitivity ◽  
Theoretical Sensitivity ◽  
Induction Model

Abstract In this paper, aiming at the problem of the electrostatic sensor signal satisfying the gaussian distribution, the non-parametric kernel estimation method is introduced, and the electrode induction model of the electrostatic sensor is finally fitted by combining the goodness of fit and the simulation data samples. This model satisfies the gaussian distribution and the electrostatic signal satisfying the gaussian distribution is given in the theory. Maxwell simulation software was used to simulate the theoretical sensitivity of the electrostatic sensor and the axial and radial spatial sensitivity characteristics of different sensor parameters were obtained. Within a certain range, the relative permittivity of the insulating tube is also discussed. Finally, an insulating tube with a relative permittivity of 3 is selected as the material of the insulating tube. Finally, the experiment is carried out on the experimental equipment and the conclusions obtained in the article are confirmed.

Simulation-based ENT induction: validation of a novel mannequin training model

2019 ◽  
Vol 134 (1) ◽  
pp. 74-80
Author(s):  
S Bhalla ◽  
I Beegun ◽  
Z Awad ◽  
N Tolley
Keyword(s):  
Qualitative Data ◽  
Training Model ◽  
Knowledge Retention ◽  
Junior Doctors ◽  
Structured Interviews ◽  
Confidence Levels ◽  
Simulation Based ◽  
Written Assessment ◽  
Anxiety Levels ◽  
Induction Model

AbstractObjectiveTo ascertain whether simulation-based teaching is superior to lecture-based teaching for an induction programme using a home-made induction model.MethodsA simulation-based induction programme was designed and separate lecture-based teaching covering the same content was organised for junior doctors. The junior doctors were asked to complete pre- and post-induction surveys regarding confidence and anxiety levels. The skills taught included microsuction, flexible nasendoscopy, and anterior and posterior nasal packing. Structured interviews were conducted after the programme to gain qualitative data for analysis. The trainees’ knowledge retention was compared using a standardised written assessment one month after the session.ResultsSimulation-based teaching using the induction model was associated with a statistically significant increase in confidence levels and reduction in anxiety levels, and was associated with greater knowledge retention.ConclusionA regular simulation induction programme should be introduced using the induction model, as it leads to better knowledge retention and increased confidence levels.

Development of Infant Behavior Simulator: Modeling Grasping Achievement Based on Developmental Behavior Model and Environmental Interest Induction Model

2005 ◽  
Vol 17 (6) ◽  
pp. 705-716 ◽  
Author(s):  
Koji Kitamura ◽  
◽  
Yoshifumi Nishida ◽  
Naoaki Matsumoto ◽  
Yoichi Motomura ◽  
...  
Keyword(s):  
External Factor ◽  
Basic Function ◽  
Virtual Space ◽  
Infant Behavior ◽  
Comprehensive Understanding ◽  
Internal Factor ◽  
Developmental Behavior ◽  
New Findings ◽  
Simulation Results ◽  
Induction Model

Comprehensive understanding of infant behavior is required to prevent infant accidents in the home. We are developing a system to simulate infant behavior and accidents in virtual space to comprehensively understand infant behavior and accidents. We model infant grasping achievement in daily life, focusing on interaction with objects as a basic function of the infant behavior simulator we are developing. Grasping achievement refers to behavior in which an infant sees an object, approaches it, and grasps it. We classified elements related to infant behavior into developmental behavior, which is an internal factor, and environmental interest induction, which is an external factor. We created models by representing these factors in a stochastic form based on the knowledge on developmental behavior, which is known in the medicine field, and our new findings on environmental interest induction, which was obtained from infant observation. We integrated these models in a stochastic manner to create a grasping achievement model. We validated this model by comparing data on infant behavior with simulation results using the grasping achievement model.

Parameter optimisation of fast chlorophyll fluorescence induction model

2001 ◽  
Vol 56 (4-5) ◽  
pp. 443-450 ◽  
Author(s):  
Alexandrina D. Stirbet ◽  
Philipp Rosenau ◽  
Andreas C. Ströder ◽  
Reto J. Strasser
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Induction ◽  
Chlorophyll Fluorescence Induction ◽  
Parameter Optimisation ◽  
Induction Model
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