Matlab r2016b software

Manufactured by MathWorks

Sourced in United States

MATLAB R2016B is a high-level programming language and numerical computing environment for data analysis, algorithm development, and visualization. It provides a wide range of tools for matrix manipulation, function plotting, and implementation of algorithms. MATLAB R2016B supports a variety of data types and offers a flexible programming environment for scientific and engineering applications.

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Optimization toolbox, by MathWorks (1 mentions)

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MATLAB (20315 citations) MATLAB software (915 citations) MATLAB R2016b (210 citations)

4 protocols using matlab r2016b software

Longitudinal Outcomes of Ultrasound-Guided Corneal Cross-Linking

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Data from ophthalmic examinations at pre-LASIK, pre-ufCXL, and 1, 2, 3, 6 months, and later time points post-ufCXL were collected for analysis, including manifest refraction sphere, cylinder, spherical equivalent (MRSE), UDVA, CDVA, maximum keratometry (K_max), central pachymetry, corneal irregularity indices, presence of haze, and/or other complications at slit lamp. Keratometry and corneal irregularity indices were obtained with the Orbscan IIz system (Bausch & Lomb, Rochester, NY, USA) at each time point. All statistical analyses were carried out in MATLAB R2016B software (Mathworks, Natick, MA, USA) using two-sample paired Student’s t-tests (eg, to compare pre- and post-ufCXL variable means) and two-sample Kolmogorov–Smirnov tests (to compare pre- and post-ufCXL histogram distributions). Statistical significance was set at P<0.05.

Wallerstein A., Adiguzel E., Gauvin M., Mohammad-Shahi N, & Cohen M. (2016). Under-flap stromal bed CXL for early post-LASIK ectasia: a novel treatment technique. Clinical Ophthalmology (Auckland, N.Z.), 11, 1-8.

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Matlab-Based Simulation and Analysis of NMR Line Shapes

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All computations in this study were conducted with MATLAB R2016b
software and its Optimization Toolbox (Mathworks) installed on an Apple
Mac-mini. The MATLAB function “expm” was used to calculate the
matrix exponential in Eq. 4. The
MATLAB function “nlinfit” was used for Lorentzian line-shape
fitting with Eq. 9 to calculate
the R₂_,app and
δ_app parameters from the simulated
line shapes. The source codes of the MATLAB scripts for the calculations used
for Figures 3 and 5 are provided in Supporting Information.

Sahu D, & Iwahara J. (2017). Discrete-State Kinetics Model for NMR-Based Analysis of Protein Translocation on DNA at Equilibrium. The journal of physical chemistry. B, 121(41), 9548-9556.

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EPID Off-Axis Response Correction

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First, the portal image was obtained from slab phantom, 20 cm, placing on the couch with delivering a 25×25 cm² irradiation field to correct the off-axis response of EPID. The EPID image was normalized to the center. Considering, the beam divergence, the matrix of beam attenuation was calculated for 20 cm thickness of slabs using the attenuation function (Equation 3) by MATLAB software R2016b (Mathworks Inc., Natick, Massachusetts, USA), then the result was normalized to the center. Second, the normalized EPID matrix determined at the first step was multiplied pixel-wise by the normalized attenuation function to obtain the off-axis response.

S. M. H., M. H. B., M. M., S. N., S. B., H. G., R. S., F. S, & M. M. (2019). An Empirical Transmitted EPID Dosimetry Method using a Back-Projection Algorithm. Journal of Biomedical Physics & Engineering, 9(5), 551-558.

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Gait Analysis of Achilles Tendon Rupture

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Gait analysis data were processed using the software Nexus 2.9.1 (Vicon Motion Systems Ltd.). Three gait trials, with clean force plate strikes, consistent walking speed, and good marker visibility, were analyzed for each patient, at each test session. Calculations of gait analysis data were performed using MATLAB ® software R2016b (The MathWorks, Inc.). Gait data were compared between (EFM vs. ST) and within groups (injured vs. uninjured side), respectively. To facilitate valuation of impact of ATR on gait biomechanics, ankle kinematics and kinetics of the two studied groups (EFM and ST) were graphically illustrated alongside a healthy reference group (n = 59) (Figures 2 and3). The reference group consisted of pathology-free adult individuals from the control database at the Motion Analysis Laboratory at Karolinska University Hospital. Sagittal plane data are presented, frontal plane data are available in appendix.
The power calculation for the larger trial is reported elsewhere 25

Aufwerber S., Naili J.E., Grävare Silbernagel K, & Ackermann P.W. (2022). No effects of early functional mobilization on gait patterns after acute Achilles tendon rupture repair. Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 40(8).

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