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Discover the use of 3D neural organoids derived from human pluripotent stem cells to evaluate neurotoxicity and neural ...
The precipitation of calcium carbonate in water has been examined using a combination of molecular dynamics and umbrella sampling. During 20 ns molecular dynamics trajectories at elevated calcium ...
A popular method is to use a weld pool image to derive it. Analysis of the physical process suggests that a single weld pool does not contain adequate information but most recent serial weld pools may ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
A Review of Enzyme-Induced Calcium Carbonate Precipitation Applicability in the Oil and Gas Industry
Enzyme-induced calcium carbonate precipitation (EICP ... triaxial compression tests, and molecular dynamic simulation. Studies have shown that enhanced oil recovery (EOR) processes can be applied at ...
Blood lipid variables were measured by standard chemical ... by the calcium intake quintile groups. Mean calcium intakes from total, dietary, or supplemental sources were tabulated by sex. Relative ...
4 Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, Belgium Correspondence to Dr Marc Ferrante, Department of Gastroenterology and Hepatology, University Hospitals ...
OpenAI’s GPT-4o is a versatile multimodal model that brings advanced image generation and editing capabilities to the ChatGPT platform. It enables users to generate visuals from text descriptions and ...
Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...
Matrix3D solves both problems by unifying the entire process into a single model. It can estimate camera positions, generate depth maps, and even synthesize novel views — all from just a few input ...
“By using well-known shapes as a condition, we can train our model to generate novel molecules with similar shapes that don’t exist in previous chemical databases,” said Ning. Once DiffSMol learns the ...
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