Extending the imaging range through scattering layers to the entire correlation range

2020 ◽  
Vol 59 (6) ◽  
pp. 1633
Author(s):  
Yaoyao Shi ◽  
Youwen Liu ◽  
Wei Sheng ◽  
Dabo Zhu
Keyword(s):  
Correlation Range

A Raman study of B203 through the liquid-glass transition range

1992 ◽  
Vol 02 ◽  
pp. C2-265-C2-270
Author(s):  
A. K. HASSAN ◽  
L. M. TORELL ◽  
L. BORJESSON
Keyword(s):  
Glass Transition ◽  
Correlation Length ◽  
Room Temperature ◽  
Vibrational Mode ◽  
Low Frequency ◽  
Boson Peak ◽  
Transition Range ◽  
Structural Correlation ◽  
Raman Study ◽  
Correlation Range

The low frequency Raman spectrum of B203 and the boroxol ring vibrational mode at 808 cm-1 have been studied from room temperature to 1273 K as the glass transforms to a melt. Both the low frequeney "boson" peak and the boroxol mode are markedly influenced by the glass transition. Raising the temperature above Tg the strength of the 808 cm-1 mode decreases linearly indicating the Similar behavior of the boroxol ring concentration. The boson peak shows a different temperature behavior, which mirrors that of the sound velo city. The structural correlation length demostrates the same correlation range in the liquid and the glass. The results, when compared with neutron diffraction measurements contradict a recently proposed relation between the "boson correlation length" and the position of the first sharp diffraction peak of the structure factor.

Correlation range and Rayleigh linewidth of xenon near the critical point

1980 ◽  
Vol 22 (1) ◽  
pp. 285-286 ◽  
Author(s):  
Hannes Güttinger ◽  
David S. Cannell
Keyword(s):  
Critical Point ◽  
Correlation Range

scholarly journals Spatial Pattern of Soil Carbon Density in Cultivated Land of Different Domains of Madhya Pradesh

2021 ◽  
pp. 54-77
Author(s):  
G. S. Tagore ◽  
Y. M. Sharma ◽  
R. Sharma ◽  
G. D. Bairagi ◽  
A. K. Dwivedi ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Gaussian Model ◽  
Spherical Model ◽  
Exponential Model ◽  
Mean Value ◽  
Total Carbon ◽  
Carbon Density ◽  
Soil Carbon Density ◽  
Correlation Range

Present study was conducted in the Department of Soil Science JNKVV, Jabalpur during 2018-2020. GPS based 531 soil samples were collected from each domain viz., Bhopal, Jabalpur, Vidisha and Hoshangabad of 10.1 Agro ecological sub region (AESR). The samples analyzed for soil organic carbon (SOC) and calcium carbonate (CaCO3) then soil organic carbon density (SOCD), total organic carbon density (TOCD), soil inorganic carbon density (SICD) and total carbon density (TCD) in Mg C ha-1 were calculated. The results of SOCD, TOCD, SICD and TCD ranged from 4.73 to 25.12, 9.22 to 48.98, 1.00 to 21.29 and 11.08 to 68.80 Mg C ha-1 with mean value of 12.19, 23.78, 7.58 and 31.36 Mg C ha-1 in AESR 10.1 and Coefficient of variation (CV) 37.58, 37.58, 50.88 and 31.24 %. The overall trend in SOCD was Bhopal > Vidisha > Jabalpur > Hoshanagabad and SICD was Vidisha > Hoshanagabad > Jabalpur >Bhopal while TCD was in trend of Bhopal > Vidisha > Hoshangabad> Jabalpur. Geo-statistical indicated that Ordinary Kriging used and all variogram were in isotropic form. In Bhopal domain, Gaussian model best fitted for of SOCD, TOCD, and TCD but spherical model for SICD. In Jabalpur domain, exponential domain best fitted for TCD and TOCD but for SICD, spherical model and for SOCD, Gaussian model is best fitted. In Vidisha domain, exponential model best fitted for all. In Hoshangabad domain, exponential model is best fitted for SOCD and TOCD and Gaussian and J-Bessel model best fitted for TCD and SIC, respectively. The nugget/ sill (N/S) ratio was <25% which exhibit strong SD only for SICD in Bhopal domain. The N/S ratio was found to be >25% but <75% which showed moderate SD, for SOCD, TOCD and TC, TOCD, SICD and TCD; SOCD, TOCD, SICD and TCD and SOCD, TOCD, SICD and TCD in Bhopal, Jabalpur, Vidisha and Hoshangabad domain, respectively. The correlation range (m) for SOCD, TOCD, SICD and TCD are 5448.413, 4809.535, 360.522, and 5113.050; 7201.044, 6601.044, 611.651, and 8438.711; 5734.559, 7334.398, 1323.773, and 7881.289 and 5418.684, 5433.206, 8887.656, and 1836.274 in Bhopal, Jabalpur, Vidisha and Hoshangabad domain, respectively. The carbon density was found in order of Jabalpur> Hoshangabad >Vidisha > Bhopal.

scholarly journals Relación entre la potencia y velocidad en press de banca y la velocidad de lanzamiento de balón en jugadores profesionales de balonmano (Relationship between barbell power and velocity in bench press exercise and ball throwing velocity in professional ha

Retos ◽  
2020 ◽  
pp. 53-59
Author(s):  
Iker Javier Bautista ◽  
Juan Vicente-Mampel ◽  
Luis Baraja-Vegas ◽  
Isidoro Martínez
Keyword(s):  
Bench Press ◽  
Average Power ◽  
Mean Velocity ◽  
Specific Performance ◽  
Relevant Variables ◽  
The Mean ◽  
Incremental Protocol ◽  
The One ◽  
The Relationship ◽  
Correlation Range

 Los objetivos de este estudio fueron (a) analizar la relación existente entre la una repetición máxima (1-RM) en press de banca y la velocidad de lanzamiento en jugadores de balonmano U18 de nivel internacional y, (b) analizar qué variables del ejercicio del press de banca son más relevantes en el rendimiento específico (velocidad de lanzamiento del balón) durante el test de velocidad de lanzamiento (T3-Step). Dieciséis jugadores de la Selección Española de Balonmano Juvenil participaron en la presente investigación. Todos los sujetos realizaron un protocolo incremental en el ejercicio del press de banca, además del T3-Step de velocidad de lanzamiento del balón. Por un lado, se analizó la relación existente entre la velocidad media (Velmedia), velocidad media de la fase propulsiva (VelMFP), velocidad pico (Velpico), potencia media (Potmedia), potencia media de la fase propulsiva (PotMFP), y potencia pico (Potpico) en todo el espectro de cargas en relación con la velocidad de lanzamiento. También se realizaron los mismos análisis con la carga en donde se obtuvo la máxima potencia media (CargaMP). Los resultados mostraron, por un lado que el rango de correlación de la CargaMP, PotmediaMP, PotMFPMP y PotpicoMP y la velocidad de lanzamiento fueron de .61 (p= .012), .702 (p< .01), .734 (p< .01) y .63 (p< .01), respectivamente. El coeficiente de correlación de Pearson entre la 1-RM y la velocidad de lanzamiento fue de r = .61 (p < .01). En conclusión, las variables relevantes a nivel de rendimiento específico con la velocidad de lanzamiento fueron la 1RM, la CargaMP, la PotMFPMP y la VelMFPMP. Todas estas analizadas en función del 60% de la 1-RM.  Abstract. The objectives of this study were (a) to analyze the relationship between one repetition maximum (1-RM) in free bench press exercise and ball throwing velocity in handball players U18 of international level and, (b) to analyze which variables of bench press exercise are more relevant in the specific performance during the ball throwing velocity test (T3-Step). Sixteen (n = 16) players of the Spanish Youth Handball Team participated in the present investigation. All subjects included performed an incremental protocol bench press exercise, in addition to the T3-Step. On the one hand, it analyzed the relationship between the mean velocity (Velmean), the mean velocity of propulsive phase (VelmeanPP), peak velocity (Velpeak), the average power (Powermean), the average power of the propulsive phase (PowermeanPP), and peak power (Powerpeak) over the entire spectrum of charges in relation to the launch speed. The same analyzes were also obtained with the load where the maximum average power (LoadMP). The results obtained, on the one hand that the correlation range of the LoadMP, PowermeanPP, PowerMPPMP and PowerpeakPP and ball throwing velocity were .61 (p = .012), .70 (p < .01), .73 (p < .01) and 0.63 (p < .01), respectively. The correlation coefficient between the 1-RM and ball throwing velocity was r = 0.61 (p< .01). In conclusion, the relevant variables at the specific performance level with the ball throwing velocity were 1-RM, LoadMP, PowerMFPMP and VelMFPMP. All these analyzed according to 60% of the 1-RM.

A Multi-Instrument Evaluation of a Commercial Chromogenic Factor X Assay To Monitor Oral Anticoagulation Therapy.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 4059-4059 ◽  
Author(s):  
David L. McGlasson ◽  
Patrick N. Shaklee
Keyword(s):  
Oral Anticoagulation ◽  
Anticoagulation Therapy ◽  
Normal Subjects ◽  
Factor X ◽  
Normal Range ◽  
Precision Data ◽  
Oral Anticoagulation Therapy ◽  
Instrument Evaluation ◽  
Correlation Range ◽  
Precision Testing

Abstract Introduction: A multi-instrument evaluation of the chromogenic DiaPharma Factor X Assay kit (DFX) was undertaken in order to evaluate the utility of the kit for measuring factor X levels in patients receiving oral anticoagulation therapy (OAT). Methods: The DFX microtiter method was compared to a clottable FX (CFX)method in Laboratory 1. All clottable assays were performed on the Diagnostica-Stago STA automated coagulation analyzer using STA Neoplastine CI+ as the thromboplastin reagent with a low ISI. All testing was performed on citrated plasmas. A normal range was established using 30 normal subjects. Clinical sensitivity was tested using 30 specimens from subjects on OAT. The samples were assayed for FX levels by DFX and CFX, and international normalized ratios (INR) were calculated. Thirty-one specimens that were positive for the presence of hemolysis, icteric color, lipemia, heparin and lupus anticoagulants (LA) were analyzed for FX by both methods to check for the influence of interfering substances. Nineteen subjects with the presence of an LA on OAT and an unstable INR with specimens taken at 8 time points were evaluated by both methods. Laboratory 2 used an STA compact and reagents to evaluate both the CFX and DFX methods. A normal range was established using 25 normal subjects on both methods. Fifty-five subjects on OAT were evaluated by both the CFX and the DFX methods. Precision and accuracy testing using different levels of FX were analyzed by all methods at both institutions. Results: The results of both laboratories are as follows: FX Chromogenic vs. Clotting Precision Data: Laboratory 1 performed precision testing using times 10 replicates on 6 specimens, run on the DFX in the range of 10 – 120% FX activity. Using 5 known standards for the DFX, assay accuracy ranged from 99.2 – 100.8% recovery. Laboratory 2 performed precision testing on 3 levels of FX (n = 12). Precision Data Conclusions: The present studies of the DFX kit demonstrated the assays robustness, precision, accuracy and utility for monitoring patients on OAT with and without interfering substances, the presence of an LA or unstable INR. The DiaPharma Factor X Kit recently received 510(k) market clearance from the FDA. This assay should offer health care providers an option for monitoring patients receiving OAT, especially those where INR values may not be reliable when an LA is present, and screening for factor X deficiencies. Laboratory 1 Normals (n=30) OAT (n=30, INR=1.74-5.9) Range Mean Correlation Range Mean Correlation Chromogenic 72.0 – 137.6% 113.8% 0.906 19.3 – 62.5% 31.0% 0.903 Clotting 94.1 – 159.7% 109.5% 7.0 – 48.0% 13.9% OAT with presence of LA (n = 19) Interfering Substances (n=31, INR 1.0 – 1.2) Range Mean Correlation Range Mean Correlation Chromogenic 7.0 – 122.0% 33.1% 0.841 101.2 – 126.4% 113.8% 0.906 Clotting 2.7 – 101.0% 22.8% 97.4 – 120.7% 109.5% Laboratory 2 Normals (n = 25) OAT (n=55) Range Mean Correlation Range Mean Correlation Chromogenic 83.0 – 147.0% 120.4% 0.871 17.0 – 65.0% 32.5% 0.948 Clotting 69.0 – 139.0% 105.7% 2.0 – 41.0% CV (%) Laboratory 1 Laboratory 2 Chromogenic 1.9 – 10.4% 2.5 – 5.1% Clotting N/A 4.6 – 9.2%

MONTE CARLO SIMULATION OF THE CRITICAL PROPERTIES OF QUASI-TWO-DIMENSIONAL QUANTUM HEISENBERG SYSTEMS

1994 ◽  
Vol 01 (02n03) ◽  
pp. 239-252 ◽  
Author(s):  
I.V. ROJDESTVENSKI ◽  
M.G. COTTAM ◽  
I.A. FAVORSKI ◽  
T. KUZNETSOVA ◽  
P.N. VORONTSOV-VELYAMINOV
Keyword(s):  
Monte Carlo ◽  
Critical Behavior ◽  
Ultrathin Films ◽  
Nearest Neighbor ◽  
Spin Correlation ◽  
Two Dimensional ◽  
Critical Properties ◽  
Simple Cubic ◽  
Correlation Range ◽  
Exchange Parameters

The critical properties of spin S=1/2 isotropic Heisenberg ferromagnetic ultrathin films are investigated using the Handscomb Monte Carlo technique. We study a simple cubic lattice with nearest neighbor interactions, including the effects of different values for the interlayer and intralayer exchange parameters. The number of monolayers is taken as 1, 2, or 3, and also we examine the effects of dilution in one of the layers. Numerical calculations are presented for the critical behavior of the longitudinal susceptibility and the spin correlation range. The results are interpreted in terms of a two-dimensional type of critical behavior with renormalized (modified) exchange parameters.

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