RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...
The Measurement Alternative and Ranking according to COmpromise Solution (MARCOS) method is applied for multi-criteria decision making for the selection of optimal process parameters during turning of ...
from craftsman import CraftsManPipeline import torch # load from local ckpt # mkdir ckpts && cd ckpts # mkdir craftsman-DoraVAE && cd craftsman-DoraVAE # wget https ...
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...
Bicycle helmets are important for protecting cyclists from head injuries, but traditional designs have limitations in terms of impact absorption and fit. Researchers at the University of Gothenburg ...
Center of Chemistry for Frontier Technologies, Department of Chemistry, State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China Center of Chemistry for ...
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A mechanobiological computer optimization framework to design scaffolds to enhance bone regeneration
The treatment of large bone defects is a clinical challenge. 3D printed scaffolds are a promising treatment option for such critical-size defects. However, the design of scaffolds to treat such ...
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