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Investigation of 90,92Zr(n,{\gamma}) 91,93Zr in the s process nucleosynthesis

Autor: Kabi, Abdul, Abideen, Zain Ul, Nabi, Jameel-Un, Khan, Dawar

Publikováno v: Zeitschrift f\"ur Naturforschung A, 79, 489 496 (2024)

The neutron capture rates and Maxwellian averaged cross sections (MACS) for 90Zr(n,{\gamma}) 91Zr and 92Zr(n,{\gamma}) 93Zr processes have been computed within the framework of Talys v1.96. The effects of phenomenological nuclear level density (NLD)

Externí odkaz: http://arxiv.org/abs/2410.06603

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Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods

Autor: Wahid, Fazli, Ma, Yingliang, Khan, Dawar, Aamir, Muhammad, Bukhari, Syed U. K.

Biomedical image segmentation plays a vital role in diagnosis of diseases across various organs. Deep learning-based object detection methods are commonly used for such segmentation. There exists an extensive research in this topic. However, there is

Externí odkaz: http://arxiv.org/abs/2408.03393

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MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from Segmented Volumetric Data

Autor: Boneš, Eva, Khan, Dawar, Bohak, Ciril, Barad, Benjamin A., Grotjahn, Danielle A., Viola, Ivan, Theußl, Thomas

In the field of volumetric data processing and analysis, extracting mid-surfaces from thinly bounded compartments is crucial for tasks such as surface area estimation and accurate modeling of biological structures, yet it has lacked a standardized ap

Externí odkaz: http://arxiv.org/abs/2405.19339

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DiffFit: Visually-Guided Differentiable Fitting of Molecule Structures to a Cryo-EM Map

Autor: Luo, Deng, Alsuwaykit, Zainab, Khan, Dawar, Strnad, Ondřej, Isenberg, Tobias, Viola, Ivan

We introduce DiffFit, a differentiable algorithm for fitting protein atomistic structures into an experimental reconstructed Cryo-Electron Microscopy (cryo-EM) volume map. In structural biology, this process is necessary to semi-automatically composi

Externí odkaz: http://arxiv.org/abs/2404.02465

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Dr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes

Autor: Khan, Dawar, Bohak, Ciril, Viola, Ivan

Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangular surface mesh of organic shapes, followed by iterati

Externí odkaz: http://arxiv.org/abs/2304.02941

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