1488 poster VALIDATING AN EPID-BASED SOFTWARE (DORADAQA) FOR MLC AND JAW POSITION PREDICTION IN AN ONCOR LINAC

2011 ◽  
Vol 99 ◽  
pp. S554
Author(s):  
A. Domínguez Folgueras ◽  
C. Pinza Molina ◽  
A. Ramirez ◽  
S. Fernández Cerezo ◽  
M.D. Morillas Pérez ◽  
...  
Keyword(s):  
Position Prediction ◽  
Jaw Position

scholarly journals Effects of the lower jaw position on athletic performance of elite athletes

2020 ◽  
Vol 6 (1) ◽  
pp. e000886
Author(s):  
John Patrick Haughey ◽  
Peter Fine
Keyword(s):  
Athletic Performance ◽  
Positive Impact ◽  
Elite Athletes ◽  
Upper Body ◽  
Lower Body ◽  
Lower Jaw ◽  
Hamstring Flexibility ◽  
Jaw Position ◽  
Upper Body Power ◽  
Lower Body Power

When an athlete wears a mouthguard, the position of the lower jaw is changed by virtue of the teeth being unable to occlude. Little research is available in in this area, which have indicated both positive impact and no positive impact.ObjectivesThis study aims to explore the influence of the lower jaw position on athletic performance in elite athletes.MethodsA repeated measures study compared two lower jaw positions, the athlete’s normal (habitual) bite and the lower jaw position when the muscles of mastication are at physiological rest (physiological rest bite). 15 athletes completed a medicine ball putt (upper body power), vertical jump (lower body power), sit and reach (composite hamstring flexibility), passive knee flexion (hamstring muscle length) and star excursion balance (stability and balance) tests in each condition.ResultsPaired t-tests showed the physiological rest bite had significant (p<0.05) positive effect on athletic performance for each test. On average the physiological rest bite provided an increase of lower body power (5.8%), upper body power (10%), hamstring flexibility (14%) and balance and stability (4.8%) compared to the habitual bite.ConclusionThis study provides evidence of the need for further research to confirm if the lower jaw position can be optimised for athletic performance in athletes.

Domain position prediction based on sequence information by using fuzzy mean operator

2015 ◽  
Vol 83 (8) ◽  
pp. 1462-1469
Author(s):  
Runyu Jing ◽  
Jing Sun ◽  
Yuelong Wang ◽  
Menglong Li
Keyword(s):  
Sequence Information ◽  
Fuzzy Mean ◽  
Position Prediction

Comparative analysis of the effectiveness of the use of various orthodontic appliances in the correction of malocclusion of the II class in children and adolescents

2021 ◽  
pp. 12-15
Author(s):  
N.D. Pilipenko ◽  
S.Yu Maksyukov
Keyword(s):  
Comparative Analysis ◽  
Children And Adolescents ◽  
Treatment Process ◽  
Class Ii ◽  
Orthodontic Appliances ◽  
Class Ii Malocclusion ◽  
Twin Block ◽  
Lower Jaw ◽  
Jaw Position

This study is dedicated to a comparative analysis of effectiveness of using orthodontic appliances when treating class II malocclusion in children and adolescents. It was shown that treatment with the Invisalign system with a change of the lower jaw position is the most effective method for correcting class II malocclusion in growing patients. Using Invisalign aligners showed not only the best efficacy according to teleroentgenograms. but also made the treatment process comfortable for patients at all its stages. Moreover, higher level of compliance was demonstrated with treatment using the Invisalign system compared to the Twin-block appliance.

Position prediction of the oyster adductor muscle based on YOLOv3 algorithm

2021 ◽  
Author(s):  
Chao Ma ◽  
Kai Cheng ◽  
Jun Liu ◽  
Shuang Xu ◽  
Jianhu Han
Keyword(s):  
Adductor Muscle ◽  
Position Prediction

Comparison of Two Models for Prediction of Seismic Streamer State Using the Ensemble Kalman Filter

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Jan Vidar Grindheim ◽  
Inge Revhaug ◽  
Egil Pedersen ◽  
Peder Solheim
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Petroleum Exploration ◽  
Drift Angle ◽  
Pde Model ◽  
Survey Line ◽  
Position Data ◽  
Position Prediction ◽  
Increasing Demand ◽  
Marine Seismic

Towed marine seismic streamers are extensively utilized for petroleum exploration. With the increasing demand for efficiency, leading to longer and more densely spaced streamers, as well as four-dimensional (4D) surveys and more complicated survey configurations, the demand for optimal streamer steering has increased significantly. Accurate streamer state prediction is one important aspect of efficient streamer steering. In the present study, the ensemble Kalman filter (EnKF) has been used with two different models for data assimilation including parameter estimation followed by position prediction. The data used are processed position data for a seismic streamer at the very start of a survey line with particularly large cable movements due to currents. The first model is a partial differential equation (PDE) model reduced to two-dimensional (2D), solved using a finite difference method (FDM). The second model is based on a path-in-the-water (PIW) model and includes a drift angle. Prediction results using various settings are presented for both models. A variant of the PIW method gives the overall best results for the present data.

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