Next-Generation Artificial Intelligence for ADME Prediction in Drug Discovery: From Small Molecules to Biologics. [PDF]
Tanihata S, Iwata H.
europepmc +1 more source
Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Topological turning points across the human lifespan. [PDF]
Mousley A +3 more
europepmc +1 more source
A scale of linear spaces related to the $L_{p}$ scale
S. Dilworth
semanticscholar +1 more source
NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang +5 more
wiley +1 more source
Social network analysis for crime prediction under social computing and deep learning technology. [PDF]
Cao X, Zhang L.
europepmc +1 more source
A BioLiving Periosteum Evokes Centripetal Regeneration in Challenging Bone Defects
Large bone defects often suffer from insufficient central healing. This study engineers a BioLiving periosteum that mimics the native structure. It sequentially delivers remote chemical cues and contact physical cues in a signaling‐relay manner, effectively recruiting and guiding endogenous cells toward the defect center.
Yang Shi +12 more
wiley +1 more source
A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector. [PDF]
Harl MI +4 more
europepmc +1 more source
Topological Groups and Related Structures
A. Arhangel'skii, M. Tkachenko
semanticscholar +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source

