scholarly journals Individual performances relative to season bests in major track running championship races are distance-, position- and sex-dependent

2020 ◽  
Vol 44 ◽  
Author(s):  
Arturo Casado
Keyword(s):  
Distance Position

scholarly journals Computational Analysis of Mapping Catheter Geometry and Contact Quality Effects on Rotor Detection in Atrial Fibrillation

2021 ◽  
Vol 12 ◽  
Author(s):  
Chiara Bartolucci ◽  
Claudio Fabbri ◽  
Corrado Tomasi ◽  
Paolo Sabbatani ◽  
Stefano Severi ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Structural Parameters ◽  
Spiral Wave ◽  
Spatial Location ◽  
Electrode Spacing ◽  
Patient Specific ◽  
Electrode Distance ◽  
Detection Failure ◽  
Distance Position ◽  
Mapping Catheter

Atrial fibrillation (AF) is the most common cardiac arrhythmia and catheter mapping has been proved to be an effective approach for detecting AF drivers to be targeted by ablation. Among drivers, the so-called rotors have gained the most attention: their identification and spatial location could help to understand which patient-specific mechanisms are acting, and thus to guide the ablation execution. Since rotor detection by multi-electrode catheters may be influenced by several structural parameters including inter-electrode spacing, catheter coverage, and endocardium-catheter distance, in this study we proposed a tool for testing the ability of different catheter shapes to detect rotors in different conditions. An approach based on the solution of the monodomain equations coupled with a modified Courtemanche ionic atrial model, that considers an electrical remodeling, was applied to simulate spiral wave dynamics on a 2D model for 7.75 s. The developed framework allowed the acquisition of unipolar signals at 2 KHz. Two high-density multipolar catheters were simulated (Advisor™ HD Grid and PentaRay®) and placed in a 2D region in which the simulated spiral wave persists longer. The configuration of the catheters was then modified by changing the number of electrodes, inter-electrodes distance, position, and atrial-wall distance for assessing how they would affect the rotor detection. In contact with the wall and at 1 mm distance from it, all the configurations detected the rotor correctly, irrespective of geometry, coverage, and inter-electrode distance. In the HDGrid-like geometry, the increase of the inter-electrode distance from 3 to 6 mm caused rotor detection failure at 2 mm distance from the LA wall. In the PentaRay-like configuration, regardless of inter-electrode distance, rotor detection failed at 3 mm endocardium-catheter distance. The asymmetry of this catheter resulted in rotation-dependent rotor detection. To conclude, the computational framework we developed is based on realistic catheter shapes designed with parameter configurations which resemble clinical settings. Results showed it is well suited to investigate how mapping catheter geometry and location affect AF driver detection, therefore it is a reliable tool to design and test new mapping catheters.

Digital Filters

2011 ◽  
pp. 180-196
Author(s):  
Gordana Jovanovic-Dolecek
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Digital Filters ◽  
Time Signal ◽  
Digital Signals ◽  
Video Signals ◽  
Time Signals ◽  
Time Distance ◽  
Independent Variable ◽  
Distance Position

A signal is defined as any physical quantity that varies with changes of one or more independent variables, and each can be any physical value, such as time, distance, position, temperature, or pressure (Oppenheim & Schafer, 1999; Elali, 2003; Smith, 2002). The independent variable is usually referred to as “time”. Examples of signals that we frequently encounter are speech, music, picture, and video signals. If the independent variable is continuous, the signal is called continuous-time signal or analog signal, and is mathematically denoted as x(t). For discrete-time signals the independent variable is a discrete variable and therefore a discrete-time signal is defined as a function of an independent variable n, where n is an integer. Consequently, x(n) represents a sequence of values, some of which can be zeros, for each value of integer n. The discrete–time signal is not defined at instants between integers and is incorrect to say that x(n) is zero at times between integers. The amplitude of both the continuous and discrete-time signals may be continuous or discrete. Digital signals are discrete-time signals for which the amplitude is discrete. Figure 1 illustrates the analog and the discrete-time signals.

scholarly journals Pollen Donor Position and Climate Factor Affecting Fruit Production of Nutmeg

2018 ◽  
Vol 29 (1) ◽  
pp. 47 ◽  
Author(s):  
Susi Purwiyanti ◽  
NFN Sudarsono ◽  
Yudiwanti Wahyu Endro Kusumo ◽  
Otih Rostiana
Keyword(s):  
Pearson Correlation ◽  
Germplasm Collection ◽  
Fruit Production ◽  
High Yield ◽  
Flower Initiation ◽  
Climate Factor ◽  
Average Production ◽  
Pollen Donor ◽  
Data Production ◽  
Distance Position

<em>The quality and quantity of nutmeg fruit, seed and mace can be improved through managing fruit and seed production.  Fruit development was affected by climate, flower initiation and pollination process. This study aimed to determine the correlation between climate, position, distance of pollen donor to female nutmeg trees, and the ratio of female and male trees to nutmeg yield.  The study was conducted at the nutmeg germplasm collection garden at Cicurug (550 m asl), Sukabumi, tested 295 nutmeg trees from 27 locations in Indonesia. Data production of female trees was based on 2005-2017 data. All nutmeg trees were mapped using the GPS Garmin 76c5x.  Tree sex was determined by male or female flowers domination in each tree. Correlation of the climate factors and production was analyzed using Pearson Correlation. The distance, position and the proportion of female to male trees were evalated by t-test at 5% level.  Ratio of female and male trees to produce high yield was 4 : 1. Rainfall (280-430 mm/month) and temperature (24 - 25<sup>o </sup>C)   during  the  pollination  period  (8-7  months  before  harvesting)  were <em>positively correlated with production by 57.9 % and 82.3 %. The position and distance of pollen donors to female trees had no effect on production.  However, the distance between pollen donors and female trees above 15 m produced an average production equal to 15 m. The number of trees around tree samples had no effect on nutmeg production, but light intensity at 61,425-88,480 lux absorbed by trees could enhance the yield.  Nutmeg required sunlight to penetrate plant canopy in order to induce fruit production.</em></em>

scholarly journals Distance and Size Discrimination in a Water Stick Insect, ranatra linearis (Heteroptera)

1986 ◽  
Vol 120 (1) ◽  
pp. 59-77
Author(s):  
ANN CLOAREC
Keyword(s):  
Prey Capture ◽  
Stick Insect ◽  
Normal Adult ◽  
Central Position ◽  
Size Discrimination ◽  
Stick Insects ◽  
Distance Position ◽  
Prey Items

The role of vision in distance, position and size discrimination in prey capture has been investigated in normal adult water stick insects (Ranatra linearis L.: Heteroptera) and in ones with one eye covered. Both monocular and intact Ranatra were able to discriminate between two targets subtending the same angle but presented at different distances. They usually chose the target nearer to their foreleg claws. Although monocular subjects undershot more often than controls, they could still estimate distance correctly. When presented with two different-sized targets at the same distance, both monocular and intact subjects usually preferred the larger target within a 1°-10° range, even though monocular animals chose the larger object less consistently. They were able to distinguish between two targets differing in size by only 1°. Asymmetrical presentations of two identical targets stressed the importance of the central position. Intact animals always preferred the target nearer their midline. These data also revealed the unexpected ability of Ranatra to strike accurately at two targets or prey items simultaneously. When two identical targets were presented simultaneously and symmetrically, aims were directed at both targets, and one was grasped by each raptorial foreleg, thus indicating an absence of confusion.

scholarly journals Long-distance Position Estimation Method for Cylindrical Objects Using Laser Range Finder

2009 ◽  
Vol 29-1 (2) ◽  
pp. 1327-1327
Author(s):  
Hajime TAMURA ◽  
Takeshi SASAKI ◽  
Hideki HASHIMOTO ◽  
Fumihiro INOUE
Keyword(s):  
Estimation Method ◽  
Position Estimation ◽  
Laser Range Finder ◽  
Range Finder ◽  
Long Distance ◽  
Laser Range ◽  
Distance Position

Kinematics of the parsec-scale jet of the blazar AO 0235+164

2019 ◽  
Vol 15 (S359) ◽  
pp. 345-346
Author(s):  
Flávio Benevenuto da Silva Junior ◽  
Anderson Caproni
Keyword(s):  
Structural Characteristics ◽  
Position Angle ◽  
Lorentz Factor ◽  
Merit Function ◽  
Cross Entropy ◽  
Optimum Number ◽  
Viewing Angle ◽  
Core Component ◽  
Upper Limit ◽  
Distance Position

AbstractRadio interferometric maps of the blazar AO 0235+164 show the existence of a stationary core, and a compact jet composed of multiple receding components. In this work, we determined the structural characteristics of these jet components (core-component distance, position angle, flux density, etc.) using the statistical method for global optimization Cross-Entropy (CE). The images we analyzed were extracted from public databases, totaling 41 images at 15 GHz and 128 images at 43 GHz. Using criteria such as the value of the CE merit function, and mean residuals, we determined the optimum number of components in each map analyzed in this work. We found that jet components are distributed across all four quadrants on the plane of the sky, indicating a possible non-fixed jet orientation during the monitoring interval. The time evolution of the equatorial coordinates of the jet components were used to determine their respective speeds, ejection epochs, and mean position angles on the plane of the sky. We have identified more than 20 components in the jet of AO 0235+164, with their apparent speeds ranging roughly from 2c to 40c, and distributed across all four quadrants on the plane of the sky. From the kinematics of these jet components we could derive a lower limit of about 39 for its bulk jet Lorentz factor and an upper limit of approximately 42 degrees for its jet viewing angle.

A Temperature Field Analysis for Contraction and Collapse of 72AU2 Hot-Rolled Steel

2015 ◽  
Vol 817 ◽  
pp. 653-660
Author(s):  
Han Jiang Hu ◽  
Ai Min Zhao
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Temperature Field ◽  
Field Analysis ◽  
Maximum Temperature ◽  
Field Calculation ◽  
Inside Diameter ◽  
Distance Position ◽  
Hot Rolled ◽  
Element Method

Hot rolled coil after winding cooled to room temperature in the storage room often takes 4 to 5 days. The process of coil cooling sometimes produces collapse defects in industrial applications. In this research, the cooling process after coiling of Shougang Group 72AU2 hot-rolled strip steel was taken as the research material. We used finite element method (FEM) software ABAQUS to analyze the temperature field of coil after coiling. At first, a temperature field model of hot-rolled coil during cooling was established by the finite element method. The simulation results show that, the maximum temperature difference is 206°C, when the cooling-time is about 50th min. The highest temperature node was about at 44% apart from inside diameter distance position in the thickness direction, and finally moved to the node which is at 26% apart from inside diameter distance position. Temperature field calculation considered the anisotropy of the heat transfer. The temperature of each node can be obtained by this simulation, which cannot be obtained from field measurements and experiments. Thereby this research has a significant impact on further research on the causes of the contraction and collapse.

scholarly journals A Parameter Refinement Method for Ptychography Based on Deep Learning Concepts

2021 ◽  
Vol 6 (4) ◽  
pp. 36
Author(s):  
Francesco Guzzi ◽  
George Kourousias ◽  
Alessandra Gianoncelli ◽  
Fulvio Billè ◽  
Sergio Carrato
Keyword(s):  
Deep Learning ◽  
Quantitative Imaging ◽  
Real Data ◽  
Propagation Distance ◽  
Partial Coherence ◽  
X Ray ◽  
Position Errors ◽  
Microscopy Technique ◽  
Synthetic Datasets ◽  
Distance Position

X-ray ptychography is an advanced computational microscopy technique, which is delivering exceptionally detailed quantitative imaging of biological and nanotechnology specimens, which can be used for high-precision X-ray measurements. However, coarse parametrisation in propagation distance, position errors and partial coherence frequently threaten the experimental viability. In this work, we formally introduce these actors, solving the whole reconstruction as an optimisation problem. A modern deep learning framework was used to autonomously correct the setup incoherences, thus improving the quality of a ptychography reconstruction. Automatic procedures are indeed crucial to reduce the time for a reliable analysis, which has a significant impact on all the fields that use this kind of microscopy. We implemented our algorithm in our software framework, SciComPty, releasing it as open-source. We tested our system on both synthetic datasets, as well as on real data acquired at the TwinMic beamline of the Elettra synchrotron facility.

Sign in / Sign up

Export Citation Format

Share Document