Application of various λ values in Step 2 of the proposed low-SAR Workflow. by Maryam Arianpouya (12299222)

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Proposed and existing workflows to obtain RF-shim PTX in safe mode. by Maryam Arianpouya (12299222)

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Values for 1-g SAR (SAR_1g), 10-g local SAR (SAR_10g) and global SAR (SAR_G), as well as <i>SAR</i>_1<i>g</i>/<i>SAR</i>_<i>G</i>... by Maryam Arianpouya (12299222)

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Optimized post-calibration amplitude and phase shifts for 4-channel PTX in safe mode, for two different regularization parameters. by Maryam Arianpouya (12299222)

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The <i>L</i> matrix basis vectors (<i>m1</i>, <i>m2</i>, <i>m3</i>, <i>m4</i>) applied to 4-channel PTX for Step 1 of the proposed low-SAR workflow. by Maryam Arianpouya (12299222)

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The channel-dependent relative amplitudes (A_n), and the corresponding calculated in logarithmic scale (A_n = 20 × log (S_n(t)_out / S<sub>n... by Maryam Arianpouya (12299222)

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MATLAB codes for determining complex weighting factors applied to PTX channel inputs in two operation modes. by Maryam Arianpouya (12299222)

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Simulated E-Field maps using the standard basis (“channel coordinates”) and the low-SAR <i>L</i> basis vectors of Table 3. by Maryam Arianpouya (12299222)

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Signal ratio <i>R</i>/2 = (<i>S</i>2/2<i>S</i>1) computed using Equation S3 in S1 File for successive application of a gradient echo pulse sequence with flip angles <i>θ</i><sub>1<... by Maryam Arianpouya (12299222)

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Workflow comparison. by Maryam Arianpouya (12299222)

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Simulated B₁⁺ maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4. by Maryam Arianpouya (12299222)

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Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

“…The comparison is between original human-human debate snippets, snippets generated with an IAT-compliant algorithm and snippets produced with ablated versions of the algorithm. …”

Fast Nonlinear Finite Element Elastodynamics Integrated withMolecular Dynamics for Multiscale Modeling by Matthew Deutsch (21077477)

“…<p dir="ltr">We present a GPU-enabled non-linear finite element method (FEM) elastodynamics algorithm, integrated with the HOOMD-blue open source molecular dynamics package, to enable multiscale modeling. …”

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale by Nils Deppe (19460062)

Ricker seismic profile. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

Noise reduction on testing sets from STEAD. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

SNR comparison of real-field seismic profile. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

The 147th single trace. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

A novel approach for solving a class of diffusion identification problems by Ştefana-Lucia Aniţa (21584227)