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Journal articles

Academic literature on the topic 'Index gamma'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Index gamma"

1

Gu, Xuejun, Xun Jia, and Steve B. Jiang. "GPU-based fast gamma index calculation." Physics in Medicine and Biology 56, no. 5 (2011): 1431–41. http://dx.doi.org/10.1088/0031-9155/56/5/014.

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2

Sarkar, Biplab, Anirudh Pradhan, and T. Ganesh. "Derivative based sensitivity analysis of gamma index." Journal of Medical Physics 40, no. 4 (2015): 240. http://dx.doi.org/10.4103/0971-6203.170789.

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3

Tabor, Zbisław, Monika Tulik, Damian Kabat, and Anna Wydra. "[P254] Local gamma index analysis - new approach." Physica Medica 52 (August 2018): 171–72. http://dx.doi.org/10.1016/j.ejmp.2018.06.533.

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4

HARTMAN, YAIR, YURI LIMA, and OMER TAMUZ. "An Abramov formula for stationary spaces of discrete groups." Ergodic Theory and Dynamical Systems 34, no. 3 (2013): 837–53. http://dx.doi.org/10.1017/etds.2012.167.

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AbstractLet $(G, \mu )$ be a discrete group equipped with a generating probability measure, and let $\Gamma $ be a finite index subgroup of $G$. A $\mu $-random walk on $G$, starting from the identity, returns to $\Gamma $ with probability one. Let $\theta $ be the hitting measure, or the distribution of the position in which the random walk first hits $\Gamma $. We prove that the Furstenberg entropy of a $(G, \mu )$-stationary space, with respect to the action of $(\Gamma , \theta )$, is equal to the Furstenberg entropy with respect to the action of $(G, \mu )$, times the index of $\Gamma $ in $G$. The index is shown to be equal to the expected return time to $\Gamma $. As a corollary, when applied to the Furstenberg–Poisson boundary of $(G, \mu )$, we prove that the random walk entropy of $(\Gamma , \theta )$ is equal to the random walk entropy of $(G, \mu )$, times the index of $\Gamma $ in $G$.

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5

DeGaetano, Arthur T., Brian N. Belcher, and William Noon. "Temporal and Spatial Interpolation of the Standardized Precipitation Index for Computational Efficiency in the Dynamic Drought Index Tool." Journal of Applied Meteorology and Climatology 54, no. 4 (2015): 795–810. http://dx.doi.org/10.1175/jamc-d-14-0088.1.

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AbstractThe feasibility of interpolating gamma-distribution parameters between different precipitation accumulation intervals (durations) is statistically evaluated. The interpolation of these parameters for a specific accumulation interval, but ending on different dates, is similarly assessed. Such interpolation increases the computational efficiency of drought-monitoring tools that require calculation of the standardized precipitation index (SPI) for any user-specified accumulation period on any given day. Spatial interpolation of the distribution parameters is also assessed. Given a 60-yr period of record, few statistically significant differences were found between gamma-distribution percentiles interpolated between fixed base durations and those computed directly. Shorter interpolation intervals (generally 30 days) were required for the shortest (e.g., 30 days) durations, whereas interpolation over periods of as long as 180 days could be used for the longest (between 360 and 720 days) durations. Interpolating the distribution parameters to different ending dates on the basis of those computed for the end of each month was also appropriate. The spatial interpolation of gamma-distribution parameters, although viable in practice for monitoring large-scale drought conditions, was associated with larger SPI differences than was the spatial interpolation of the SPI index itself or the interpolation of historical precipitation and the subsequent calculation of gamma-distribution parameters on the basis of these values.

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6

Budgell, G. J. "SP-0639: Current status of gamma index use." Radiotherapy and Oncology 111 (2014): S247. http://dx.doi.org/10.1016/s0167-8140(15)30745-3.

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7

Chen, M., X. Mo, D. Parnell, G. Olivera, D. Galmarini, and W. Lu. "Impact of Image Noise on Gamma Index Calculation." Journal of Physics: Conference Series 489 (March 24, 2014): 012072. http://dx.doi.org/10.1088/1742-6596/489/1/012072.

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8

Yang, JiangHe, JunHui Fan, JianJun Nie, and RuShu Yang. "The gamma-ray spectral index changes for blazars." Science China Physics, Mechanics and Astronomy 55, no. 11 (2012): 2179–85. http://dx.doi.org/10.1007/s11433-012-4901-8.

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9

Kang, Joon Soon, Yong Tak Kwon, Young Ju Suh, Tong Joo Lee, and Dong Jin Ryu. "Outcomes of U-Blade Lag Screw for Cephalomedullary Fixation of Unstable Trochanteric Femur Fractures: A Case Control Study." Geriatric Orthopaedic Surgery & Rehabilitation 11 (January 1, 2020): 215145932097997. http://dx.doi.org/10.1177/2151459320979975.

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Background: Unstable trochanteric femur fractures in elderly patients with osteoporosis are still challenging. Gamma3 nail with the U-blade lag screw (U-blade gamma nail) has been developed to improve mechanical stability of proximal femoral fragment. This study aimed to compare the clinical and radiologic outcomes of U-blade gamma nail to proximal femoral nail antirotation (PFNA), and standard Gamma3 nail (gamma nail) for unstable trochanteric femur fractures. Methods: A retrospective matched-pair case study was performed with U-blade gamma nail, PFNA, and gamma nail. During 2012-2018, 970 patients with unstable trochanteric femur fractures were reviewed. Matching criteria were set as follows: 1) sex; 2) age (± 3 years); 3) body mass index (± 2 kg/m2); 4) bone mineral density (± 1 T-score in femur neck). Finally, a total of 159 patients were enrolled. We assessed the tip-apex distance (TAD), neck shaft angle, and hip screw sliding distance using plain radiographs. Also, we evaluated the clinical outcomes with Koval’s grade and fixation failure during 2 years. Results: The mean postoperative TAD was not significantly different among the 3 groups (p = 0.519). However, the change in the TAD at 1 year (p = 0.027) and 2 years (p = 0.008) after surgery was significantly smaller in U-blade gamma nail group compared with PFNA and gamma nail group. The hip screw sliding distance at 1 year (p = 0.004) and 2 years (p = 0.001) after surgery was significantly smaller in U-blade gamma nail group compared with PFNA and gamma nail group. However, there was no significant difference of Koval’s grade and fixation failure among the 3 groups (p = 0.535). Conclusion: U-blade gamma nail showed favorable radiologic results in terms of the change in the hip screw position. However, U-blade gamma nail was not superior to PFNA and gamma nail in clinical outcomes.

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10

Arahmane, Hanane, El-Mehdi Hamzaoui, and Rajaa Cherkaoui El Moursli. "Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods." Journal of Spectroscopy 2019 (May 30, 2019): 1–9. http://dx.doi.org/10.1155/2019/8360395.

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In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma discrimination software-based approaches. These signal processing tools have allowed to recover original source components from real-world mixture signals which have been recorded at the output of the stilbene scintillation detector. The computation of the performance index of separability of each tested nonnegative algorithm has allowed to select Second-Order NMF algorithm and NTF-2 model as the most efficient techniques for discriminating neutrons and gammas. Furthermore, the neutron-gamma discrimination is highlighted through the computation of the cross-correlation function. The performance of the blind source separation methods has been quantified through the obtained results that prove a good neutron-gamma separation.

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