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Journal articles on the topic 'Phase index'

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1

Li, Gongqing, Xiaofeng Duan, Yongqing Huang, Kai Liu, and Xiaomin Ren. "Flat transmitted serrated-phase high-contrast-index subwavelength grating beam splitter." Chinese Optics Letters 18, no. 11 (2020): 110504. http://dx.doi.org/10.3788/col202018.110504.

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2

Jiang, Li Ying, Bao Jian Xu, Jian Hui Xi, and Guo Xiu Fu. "Application of Phase Division Based on Dissimilarity Index in Batch Process Monitoring." Advanced Materials Research 566 (September 2012): 134–39. http://dx.doi.org/10.4028/www.scientific.net/amr.566.134.

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An important feature of batch process data is that many batch processes have multiple phases. Many different phased-based monitoring methods had been proposed. The key question of those methods is how to divide the phases of batch process. However, PCA-based methods of phase division that identify phases by extracting the first principal component of each time slice lead easily to high misclassification. In order to overcome the shortcoming of PCA-based methods, a novel phase-division method based on dissimilarity index is proposed. In proposed division method, integral information of each time slice is used to divide phases. The phase-based PCA is built in each phase to monitoring Penicillin fermentation process in order to verify performance of proposed method. The simulation results show that the proposed method is able to detect process faults more prompt and accurate than single MPCA model.
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3

Clarke, B. R. "An index of phase distortion." International Journal of Circuit Theory and Applications 14, no. 3 (July 1986): 229–36. http://dx.doi.org/10.1002/cta.4490140305.

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4

Rogers, John R., and Mark D. Hopler. "Conversion of group refractive index to phase refractive index." Journal of the Optical Society of America A 5, no. 10 (October 1, 1988): 1595. http://dx.doi.org/10.1364/josaa.5.001595.

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5

Campolieti, G., and Paul Brumer. "Generalized semiclassical-phase-index formulas via sequential stationary phase." Physical Review A 53, no. 5 (May 1, 1996): 2958–70. http://dx.doi.org/10.1103/physreva.53.2958.

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6

Koynova, Rumiana, and Martin Caffrey. "An index of lipid phase diagrams." Chemistry and Physics of Lipids 115, no. 1-2 (May 2002): 107–219. http://dx.doi.org/10.1016/s0009-3084(01)00200-6.

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7

Ilinski, Kirill N., Gleb V. Kalinin, and Vladislav V. Melezhik. "Berry phase and supersymmetric topological index." Journal of Mathematical Physics 36, no. 12 (December 1995): 6611–24. http://dx.doi.org/10.1063/1.531176.

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8

Yu, Sixia, and Yongde Zhang. "A constructive index theorem, phase operators, and phase-difference operators." Journal of Mathematical Physics 39, no. 10 (October 1998): 5260–67. http://dx.doi.org/10.1063/1.532569.

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9

Mawiong, Sainkupar Marwein, and Himadri Kumar Mukerjee. "Strong Conley index over a phase space." Topology and its Applications 210 (September 2016): 216–45. http://dx.doi.org/10.1016/j.topol.2016.07.015.

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10

Wu, Rui-xin, and Da-yong Zou. "Phase diagram of lossy negative index metamaterials." Applied Physics Letters 93, no. 10 (September 8, 2008): 101106. http://dx.doi.org/10.1063/1.2980401.

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11

Wurnik, Franz M. "Phase integral solutions for graded-index fibers." Journal of the Optical Society of America A 2, no. 10 (October 1, 1985): 1705. http://dx.doi.org/10.1364/josaa.2.001705.

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12

Huawen, Chang, Mao Changwei, and Wang Minghui. "Phase Similarity Index for Image Quality Assessment." International Journal of Performability Engineering 15, no. 12 (2019): 3245. http://dx.doi.org/10.23940/ijpe.19.12.p16.32453252.

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13

He, P., P. V. Parimi, Y. He, V. G. Harris, and C. Vittoria. "Tunable negative refractive index metamaterial phase shifter." Electronics Letters 43, no. 25 (2007): 1440. http://dx.doi.org/10.1049/el:20072451.

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14

Wang, Yongxing, Xu Ping, and Yue Qin. "Optical-phase demodulation using zero-index metamaterials." Optics Letters 40, no. 13 (June 29, 2015): 3157. http://dx.doi.org/10.1364/ol.40.003157.

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15

Ghanbari, Zahra, and Mohammad Hassan Moradi. "FSIFT-PLV: An emerging phase synchrony index." Biomedical Signal Processing and Control 57 (March 2020): 101764. http://dx.doi.org/10.1016/j.bspc.2019.101764.

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16

Sochacka, Matgorzata, Elena Lopez Lago, and Zbigniew Jaroszewicz. "Refractive-index profiling of planar gradient-index waveguides by phase-measuring microinterferometry." Applied Optics 33, no. 16 (June 1, 1994): 3342. http://dx.doi.org/10.1364/ao.33.003342.

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17

Garcia-Entrambasaguas, Paula, Ignacio Gonzalez-Prieto, and Mario J. Duran. "Single-Index Open-Phase Fault Detection Method for Six-Phase Electric Drives." IEEE Transactions on Industrial Electronics 67, no. 12 (December 2020): 10233–42. http://dx.doi.org/10.1109/tie.2019.2962407.

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18

Wong, Francis Kh, Jackie Hk Keung, Newman Ml Lau, Douglas Ks Ng, Joanne Wy Chung, and Daniel Hk Chow. "Effects of Body Mass Index and Full Body Kinematics on Tennis Serve Speed." Journal of Human Kinetics 40, no. 1 (March 1, 2014): 21–28. http://dx.doi.org/10.2478/hukin-2014-0003.

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Abstract Effective training to improve serve speed is important for competitive tennis players. The purposes of this study were to investigate the effects of anthropometric factors and whole body kinematics of elite players on ball speed and to propose possible training strategies for improving the quality of tennis serves. Body and racket kinematics of tennis serves of 12 male elite Hong Kong players were investigated. The tennis serve was divided into four phases: I) Back-Swing Phase, II) Lead-Leg-Drive Phase, III) Forward-Swing Phase, and IV) Follow-Through Phase. It was shown that racket-side knee range of motion during phases II and III (r=0.705; p<0.05), racket-side knee peak extension velocity during phase II (r=0.751; p<0.01), racket-side hip peak extension velocity during phase II (r=0.657; p<0.05), racket-side shoulder range of motion in the coronal plane during phase III (r=0.616; p<0.05), racket-side elbow peak extension velocity during phase III (r=0.708; p<0.01) and body mass index (r=0.577; p<0.05) were significantly correlated with ball speed. Body mass index and the identified kinematic parameters that were significantly correlated with ball speed could be used as training guidelines for coaches and players to improve serve speed. Players should pay particular attention in training to increasing the extension velocity and range of motion of the identified joints.
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19

Lin, You Shen, and Ming Hung Chiu. "Full-Field Refractive Index Variation Measurement Based on Phase Shift Interferometry and SPR Phase Detection." Applied Mechanics and Materials 870 (September 2017): 9–14. http://dx.doi.org/10.4028/www.scientific.net/amm.870.9.

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We propose a new approach for determining the distribution of full-field refractive index based on the angle deviation method (ADM) with a surface plasmon resonance (SPR) sensor in phase detection. The inhomogeneous distribution of refractive index causes the variant deviation angles in the test light. SPR sensor is a sensitive angular sensor especially for phase detection. For the full–field phase measurement, we should use the four-step phase shift interferometry (PSI) to measure the phase shift profile of the test light after reflected from the SPR sensor. Thus the phase shift is caused by the variation of the refractive index. The approach can plot the full-field refractive index distribution in a short time and its resolution can be better than 2.2×10-8 (RIU).
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20

Brenn, Gunter, and Franz Durst. "REFRACTIVE INDEX MEASUREMENTS USING THE PHASE-DOPPLER TECHNIQUE." Atomization and Sprays 5, no. 6 (1995): 545–67. http://dx.doi.org/10.1615/atomizspr.v5.i6.20.

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21

Sikes, D. E., and D. D. Yavuz. "Conditional phase-shifter in refractive index enhancement scheme." Optics Communications 283, no. 4 (February 2010): 556–60. http://dx.doi.org/10.1016/j.optcom.2009.10.085.

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22

Druessel, Jeff, Peter Haaland, and Jeff Grantham. "Optimal phase modulation for gradient-index optical filters." Optics Letters 18, no. 19 (October 1, 1993): 1583. http://dx.doi.org/10.1364/ol.18.001583.

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23

Hopler, Mark D., and John R. Rogers. "Interferometric measurement of group and phase refractive index." Applied Optics 30, no. 7 (March 1, 1991): 735. http://dx.doi.org/10.1364/ao.30.000735.

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24

Garriga Francis, Kareem J., Mervin Lim Pac Chong, Yiwen E, and X. C. Zhang. "Terahertz nonlinear index extraction via full-phase analysis." Optics Letters 45, no. 20 (October 7, 2020): 5628. http://dx.doi.org/10.1364/ol.399999.

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25

Kokubun, Y., S. Suzuki, and K. Iga. "Phase space evaluation of distributed-index branching waveguides." Journal of Lightwave Technology 4, no. 10 (1986): 1534–41. http://dx.doi.org/10.1109/jlt.1986.1074654.

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26

Tang, YanKe, and LinHua Deng. "Phase asynchrony between flare index and sunspot activity." Science China Physics, Mechanics and Astronomy 56, no. 10 (August 22, 2013): 1981–86. http://dx.doi.org/10.1007/s11433-013-5322-z.

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27

Deng, L. H., Z. Q. Qu, K. R. Wang, and X. B. Li. "Phase asynchrony between coronal index and sunspot numbers." Advances in Space Research 50, no. 10 (November 2012): 1425–33. http://dx.doi.org/10.1016/j.asr.2012.07.017.

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28

Zhang, Ming, Jiang Yu, Chun Ying Qi, and Xiao Qiang Huo. "Research on Evaluation Model of Engineering Equipment Supportability in Operating Phase." Advanced Materials Research 403-408 (November 2011): 3652–55. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3652.

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According to the special characteristics of engineering equipment supportability in operation phase, we establish a completed parameter index system. Based on the fuzzy mathematics theory, we establish the single-factor parameter index assessment model of engineering equipment supportability in operating phase. And based on the neural network theory, we design the comprehensive assessment model. These models offer an effective method for the assessment of engineering equipment supportability in operation phase. The engineering equipment in operating phases of this paper is defined as: engineering equipment, perform and the process of combat mission.
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29

Mohan, K. Aditya, Dilworth Y. Parkinson, and Jefferson A. Cuadra. "Constrained Non-Linear Phase Retrieval for Single Distance Xray Phase Contrast Tomography." Electronic Imaging 2020, no. 14 (January 26, 2020): 146–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.14.coimg-146.

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X-ray phase contrast tomography (XPCT) is widely used for 3D imaging of objects with weak contrast in X-ray absorption index but strong contrast in refractive index decrement. To reconstruct an object imaged using XPCT, phase retrieval algorithms are first used to estimate the X-ray phase projections, which is the 2D projection of the refractive index decrement, at each view. Phase retrieval is followed by refractive index decrement reconstruction from the phase projections using an algorithm such as filtered back projection (FBP). In practice, phase retrieval is most commonly solved by approximating it as a linear inverse problem. However, this linear approximation often results in artifacts and blurring when the conditions for the approximation are violated. In this paper, we formulate phase retrieval as a non-linear inverse problem, where we solve for the transmission function, which is the negative exponential of the projections, from XPCT measurements. We use a constraint to enforce proportionality between phase and absorption projections. We do not use constraints such as large Fresnel number, slowly varying phase, or Born/Rytov approximations. Our approach also does not require any regularization parameter tuning since there is no explicit sparsity enforcing regularization function. We validate the performance of our non-linear phase retrieval (NLPR) method using both simulated and real synchrotron datasets. We compare NLPR with a popular linear phase retrieval (LPR) approach and show that NLPR achieves sharper reconstructions with higher quantitative accuracy.
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30

Бороев, Роман, and Roman Boroev. "Correlation between auroral activity and rate of development of a storm in its main phase." Solar-Terrestrial Physics 2, no. 4 (February 2, 2017): 11–15. http://dx.doi.org/10.12737/24270.

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We investigated the relationship between the rate of storm development in its main phase (|ΔDst|/ΔT) and the average value (ΣAE/ΔT) of AE index for the main phase where |ΔDst| is the Dst-index variation, ΣAE is the total value of AE index for the main phase of magnetic storm, ΔT is the main phase duration. We considered storms initiated by corotating interaction region (CIR) and interplanetary coronal mass ejection (ICME) (magnetic cloud and ejecta). For CIR events, the value of ΣAE/ΔT is shown to correlate with the rate of storm development in its main phase in contrast to the storms initiated by the ICME. As found, there is a weak correlation between ΣAE/ΔT and the minimum value of Dst index for CIR and ICME events.
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31

Tanimura, Kazuhiko, Misaki Amau, Ryosuke Kume, Keishi Suga, Yukihiro Okamoto, and Hiroshi Umakoshi. "Characterization of Ionic Liquid Aqueous Two-Phase Systems: Phase Separation Behaviors and the Hydrophobicity Index between the Two Phases." Journal of Physical Chemistry B 123, no. 27 (June 14, 2019): 5866–74. http://dx.doi.org/10.1021/acs.jpcb.9b04848.

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32

Vasihoun, Mahary, and Eduardo Guendelman. "Bag formation from gauge condensate." International Journal of Modern Physics A 30, no. 02 (January 20, 2015): 1550009. http://dx.doi.org/10.1142/s0217751x15500098.

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As it is well known, one can lower the energy of the trivial perturbation QCD vacuum by introducing a nonvanishing chromomagnetic field strength. This happens because radiative corrections produce an effective action of the form [Formula: see text] with f′(y0) = 0 for some y0≠0. However, a vacuum with a nonzero field strength is not consistent with Poincaré Invariance (PI). Generalizing this type of effective action by introducing, in the simplest way, a four-index field strength ∂[μAναβ], which can have an expectation value without violating PI, we are lead to an effective action that can describe both a confinement phase and a perturbative phase of the theory. In the unconfined phase, the four-index field strength does not introduce new degrees of freedom, while in the confined phase both four-index field strength and ordinary gauge fields are not true degrees of freedom. The matching of these phases through membranes that couple minimally to the three-index potentials from which the four-index field strength derive, leads automatically to the MIT bag boundary conditions for the gauge fields living inside the bubble containing the perturbative phase.
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33

Ando, Kunio, Fumio Inoue, Hiroshi Jitsukata, Masahiro Eto, and Toshimitsu Watanabe. "Analysis of Phase Error for New Beam-Index System with Two Different Index Phosphors." Journal of the Institute of Television Engineers of Japan 45, no. 11 (1991): 1455–64. http://dx.doi.org/10.3169/itej1978.45.1455.

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34

Shamiria, Ahmad, M. A. Hussaina, Farouq Mjallic, and Navid Mostoufid. "Comparative simulation study of gas-phase propylene polymerization in fluidized bed reactors using aspen polymers and two phase models." Chemical Industry and Chemical Engineering Quarterly 19, no. 1 (2013): 13–24. http://dx.doi.org/10.2298/ciceq111214038s.

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A comparative study describing gas-phase propylene polymerization in fluidized-bed reactors using Ziegler-Natta catalyst is presented. The reactor behavior was explained using a two-phase model (which is based on principles of fluidization) as well as simulation using the Aspen Polymers process simulator. The two-phase reactor model accounts for the emulsion and bubble phases which contain different portions of catalysts with the polymerization occurring in both phases. Both models predict production rate, molecular weight, polydispersity index (PDI) and melt flow index (MFI) of the polymer. We used both models to investigate the effect of important polymerization parameters, namely catalyst feed rate and hydrogen concentration, on the product polypropylene properties, such as production rate, molecular weight, PDI and MFI. Both the two-phase model and Aspen Polymers simulator showed good agreement in terms of production rate. However, the models differed in their predictions for weight-average molecular weight, PDI and MFI. Based on these results, we propose incorporating the missing hydrodynamic effects into Aspen Polymers to provide a more realistic understanding of the phenomena encountered in fluidized bed reactors for polyolefin production.
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35

Golroo, Amir, and Susan L. Tighe. "Pervious concrete pavement performance modeling: an empirical approach in cold climates." Canadian Journal of Civil Engineering 39, no. 10 (October 2012): 1100–1112. http://dx.doi.org/10.1139/l2012-088.

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Pervious concrete pavement (PCP) is an appropriate means to meet growing environmental demands. To apply pervious concrete as a pavement, its performance should be studied over its life span. This research aims to develop empirical performance models based on a proposed condition index through incorporation of integrated laboratory and field work. Since no condition index has been developed for PCP to date, first, a condition index is developed. The condition index is proposed as a combination of two indices: a surface distress index and a functional performance index. Two sources of data have been collected to develop performance models including panel rating and field investigations. Performance models are developed in two phases using regression analysis techniques. In phase I, performance models are presented as functions of a surface distress index and a functional performance index, while in phase II, performance models are correlated with pavement age and successfully validated.
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36

Ghoddousi-Fard, Reza, Paul Prikryl, and François Lahaye. "GPS phase difference variation statistics: A comparison between phase scintillation index and proxy indices." Advances in Space Research 52, no. 8 (October 2013): 1397–405. http://dx.doi.org/10.1016/j.asr.2013.06.035.

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37

Xu, Xiaoqing, Ming Xie, Ying Ji, and Yawei Wang. "Rapid quantitative phase imaging using deep learning for phase object with refractive index variation." Journal of Modern Optics 68, no. 6 (March 9, 2021): 327–38. http://dx.doi.org/10.1080/09500340.2021.1896815.

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38

Lapidus, Azariy A., and Ndayiragije Yves. "Integrated Quality Index of Organizational and Technological Solutions for Implementation of Burundian Capital Master Plan." Materials Science Forum 931 (September 2018): 1295–300. http://dx.doi.org/10.4028/www.scientific.net/msf.931.1295.

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Construction project involves a complex array of specific interdependent activities, undertaken by multiple participants with contradictions of interests. It has phases to follow in its life cycle to meet the project’s objectives. Each phase will typically have multiple sub-phases and processes. The choice of technological and organizational solutions is carried out in the planning and design phase. Changes affecting any task (or the need to resolve conflicting elements of two or more tasks) can have a significant knock-on effect on the project’s success, regardless of the phase of the life cycle. This paper intends to develop an integral model of organizational and technological solutions, which allows to choose the optimal criteria for Burundian capital master plan as well as monitoring the quality of their implementation.
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39

TOUMA, ZAHI, DAFNA D. GLADMAN, ANNE MacKINNON, SIMON CARETTE, MAHMOUD ABU-SHAKRA, ANCA ASKANASE, OLA NIVED, et al. "Development and Assessment of Users’ Satisfaction with the Systemic Lupus Erythematosus Disease Activity Index 2000 Responder Index-50 Website." Journal of Rheumatology 40, no. 1 (November 1, 2012): 34–39. http://dx.doi.org/10.3899/jrheum.120754.

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Objective.To describe the development of the Systemic Lupus Erythematosus Disease Activity Index 2000 Responder Index-50 (S2K RI-50) Website (www.s2k-ri-50.com) and to assess satisfaction with its training and examination modules among rheumatologists and rheumatology fellows.Methods.The development of the Website occurred in 3 phases. The first was a deployment phase that consisted of preparing the site map along with its content. The content included the S2K RI-50 training manual, the tests and corresponding question bank, and the online adaptive training module, along with the extensive site testing. The second phase included the participation of rheumatologists and trainees who completed the Website modules. The third was a quality assurance phase in which an online survey was developed to determine the satisfaction level of its users. Further modifications were implemented per participants’ recommendations.Results.The site has been online since it was registered in September 2010. Fourteen rheumatologists and rheumatology trainees from different centers reviewed and completed the material contained in the Website. The survey revealed acceptance among rheumatologists for the Website’s content, design, and presentation. The Website was rated as user-friendly and useful in familiarizing investigators with the S2K RI-50. After completion of the training and examination modules, participants reported a suitable level of preparation to implement the S2K RI-50 in clinical trials and research settings in a timely manner.Conclusion.The Website includes training and examination modules that familiarize rheumatologists with the S2K RI-50 and assesses their competence to use the index. This prepares them for the use of the S2K RI-50 in clinical trials and research settings.
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40

Peng, Geng, Derong Cai, Zhiqiang He, and Zhitao Huang. "Modulation Index Estimation of Frequency and Phase Modulated Signals." International Journal of Communications, Network and System Sciences 03, no. 09 (2010): 773–78. http://dx.doi.org/10.4236/ijcns.2010.39103.

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41

Vavruch, Ludek, Sverker Eneström, John Carstensen, Bo Nordenskjöld, and Sten Wingren. "DNA index and S-phase in primary brain tumors." Journal of Neurosurgery 80, no. 1 (January 1994): 85–89. http://dx.doi.org/10.3171/jns.1994.80.1.0085.

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✓ Forty-nine primary intracranial tumors (33 astrocytomas, eight acoustic schwannomas, five oligodendrogliomas, and three miscellaneous tumors) were studied by flow cytometry. Each tumor specimen was divided into two portions: one was studied as an unfixed suspension stained with propidium iodide and the other after formalin fixation and paraffin embedding. The 50-µm sections from the paraffin blocks were deparaffinized, rehydrated, and enzymatically disintegrated, and the cells in suspension were stained with propidium iodide. Flow cytometry of the two portions showed a significant correlation between fresh and fixed specimens regarding the S-phase (r = 0.87) and a very close correlation of the deoxyribonucleic acid (DNA) index (r = 0.95). When the 33 astrocytomas were analyzed separately, similar results were obtained (r = 0.86 for S-phase and r = 0.93 for DNA index, respectively). This study demonstrated a high correlation between fresh and fixed specimens for DNA ploidy and S-phase both in primary intracranial tumors in general and also in the selected subgroup of astrocytomas.
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42

Negishi, Toshifumi, and Kouichirou Kasahara. "Change in Barthel Index (BI) during Chronic Phase Rehabilitation." KITAKANTO Medical Journal 53, no. 3 (2003): 263–66. http://dx.doi.org/10.2974/kmj.53.263.

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43

LING ZHEN-FANG, LIU SI-MIN, GUO RU, and ZHANG GUANG-YIN. "MOVING REFRACTIVE-INDEX PHASE GRATING AND BACKWARD PHOTOREFRACTIVE SCATTERING." Acta Physica Sinica 40, no. 11 (1991): 1786. http://dx.doi.org/10.7498/aps.40.1786.

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44

SONG, Young-Joon. "Phase Offsets for Binary Sequences Using Order and Index." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 9 (2010): 1697–99. http://dx.doi.org/10.1587/transfun.e93.a.1697.

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45

Chen, L. R. "Phase-shifted long-period gratings by refractive index-shifting." Optics Communications 200, no. 1-6 (December 2001): 187–91. http://dx.doi.org/10.1016/s0030-4018(01)01658-3.

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46

Flores-Arias, Maria Teresa, Maria Victoria Perez, Carmen Bao, Antonio Castelo, and Carlos Gomez-Reino. "Gradient-index human lens as a quadratic phase transformer." Journal of Modern Optics 53, no. 4 (March 10, 2006): 495–506. http://dx.doi.org/10.1080/09500340500420340.

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47

Kokubun, Yasuo, Senichi Suzuki, and Kenichi Iga. "Evaluation of distributed-index branching waveguide by phase space." Applied Optics 25, no. 19 (October 1, 1986): 3401. http://dx.doi.org/10.1364/ao.25.003401.

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48

Twu, Y., K. L. Chen, A. Dienes, S. Wang, and J. R. Whinnery. "High-performance index-guided phase-locked semiconductor laser arrays." Electronics Letters 21, no. 8 (1985): 324. http://dx.doi.org/10.1049/el:19850229.

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49

Wacker, M., and H. Witte. "On the Stability of the n:m Phase Synchronization Index." IEEE Transactions on Biomedical Engineering 58, no. 2 (February 2011): 332–38. http://dx.doi.org/10.1109/tbme.2010.2063028.

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50

Petrov, N. I. "Evolution of Berry's phase in a graded-index medium." Physics Letters A 234, no. 4 (September 1997): 239–50. http://dx.doi.org/10.1016/s0375-9601(97)00595-1.

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