Results 161 to 170 of about 3,120,690 (293)
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
Learning a bayesian network from ordinal data [PDF]
Bayesian networks are graphical models that represent the joint distributionof a set of variables using directed acyclic graphs. When the dependence structure is unknown (or partially known) the network can be learnt from data.
Flaminia Musella
core
Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
wiley +1 more source
During pancreatitis, IL‐1α is released from necrotic acinar cells. In response to IL‐1α, pancreatic fibroblasts release chemokines and cytokines that regulate the recruitment of immune cells to the damaged organ. Furthermore, IL‐1α primes fibroblasts, resulting in increased tissue fibrosis during chronic pancreatitis.
Hala Mazloum +13 more
wiley +1 more source
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
wiley +1 more source
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou +8 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
Anode‐Free Sodium Metal Batteries: From Materials Design to System‐Level Integration
Anode‐free sodium metal batteries hold no sodium reserve, so every inefficiency becomes permanent loss. Resolving the inventory into reversible, dead, and chemically bound fractions exposes what Coulombic efficiency hides. Practical 500‐cycle operation requires above 99.95%, a threshold few systems meet under lean electrolyte and high areal capacity ...
Hamid Hussain +10 more
wiley +1 more source
Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu +10 more
wiley +1 more source

