Fig 3 - Using artificial intelligence tools to automate data extraction for living evidence syntheses by Evan Mitchell (20995743)

Fig 2 - Using artificial intelligence tools to automate data extraction for living evidence syntheses by Evan Mitchell (20995743)

Data Bloom 2025: Visualize with Python by Sarah Siddiqui (16670961)

“…</p><p dir="ltr">Workshop Description: Want to use Python to visualize your dataset? In this workshop, we will use libraries such as Matplotlib, Seaborn, and more to create meaningful plots. …”

Average Young’s modulus (E) in the region of interest (ROI) calculated using iterative calculations of finite element analysis; (a) TUB-1, (b) TUB-2, (c) TUB-3, (d) TUB-4, and (e)... by Hassan Mehboob (8960273)

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PyGMT – Accessing and Integrating GMT with Python and the Scientific Python Ecosystem (AGU24, U12B-05) by Yvonne Fröhlich (20442683)

“…</p><p dir="ltr">PyGMT (<a href="https://www.pygmt.org/" target="_blank">https://www.pygmt.org/</a>) wraps around the very fast GMT C code to make it accessible through the Python programming language. The introduction of meaningful aliases for the single-letter flags (e. g., "region" for "R" or "projection" for "J") and ongoing efforts regarding a more Pythonic syntax for GMT arguments significantly increase user-friendliness and readability of the code. …”

Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)

A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-1. by Hassan Mehboob (8960273)

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A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-1 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7,... by Hassan Mehboob (8960273)

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A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-4 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7,... by Hassan Mehboob (8960273)

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A detailed graphical presentation of the fixation technique of different implants, regions of interest, and bone health. by Hassan Mehboob (8960273)

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A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-2 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7,... by Hassan Mehboob (8960273)

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A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-4. by Hassan Mehboob (8960273)

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Contour plot showing von Mises stresses (MPa) in all implants in the last iterations of simulations. by Hassan Mehboob (8960273)

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Simulated results of von Mises stresses (MPa) in implants in the cases; (a) TUB-1, (b) TUB-2, (c) TUB-3, and (d) TUB-4. by Hassan Mehboob (8960273)

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Simulation runs for all parameters including bone, implant, ROI, and loading conditions. by Hassan Mehboob (8960273)

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Designing of porous implant to solid implant; (a) compressive simulation of porous BCC structure to obtain effective material properties, and (b) Dense and porous implant with effe... by Hassan Mehboob (8960273)

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Bone density. by Hassan Mehboob (8960273)

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A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-3. by Hassan Mehboob (8960273)

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A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-3 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7,... by Hassan Mehboob (8960273)

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Implantation scenarios with bone health, implant type, ROI and loading conditions. by Hassan Mehboob (8960273)

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