Results 131 to 140 of about 5,911,579 (291)
Large-scale neural models and dynamic causal modelling
Dynamic causal modelling (DCM) is a method for estimating and making inferences about the coupling among small numbers of brain areas, and the influence of experimental manipulations on that coupling [Friston, K.J., Harrison, L., Penny, W., 2003 Dynamic causal modelling. Neuroimage 19, 1273-1302].
Lucy Lee, Karl J. Friston, Barry Horwitz
openaire +2 more sources
Smaller is better: nanobodies meet NMR
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source
Traffic Flow Prediction in Complex Transportation Networks via a Spatiotemporal Causal–Trend Network
Traffic systems are quintessential complex systems, characterized by nonlinear interactions, multiscale dynamics, and emergent spatiotemporal patterns over complex networks.
Xingyu Feng +6 more
doaj +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Dynamic Business Modeling for Sustainability
In the last decade, both sustainability (Green & Blue Economies) and business models for sustainability (BMfS) have increased in importance. Social life cycle sustainability assessment has not fully achieved goal, mainly because sustainability ...
Lin, Jing +3 more
core +1 more source
Causal Geometry and Irreversibility in Human Cognition and AI Alignment
This project presents an initial conceptual framework that applies causal and geometric structures inspired by relativity theory to human cognition and AI alignment.
Causal Geometry Research
core +1 more source
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
Dynamic Causal Modeling and Online Collaborative Forecasting of Air Quality in Hong Kong and Macao. [PDF]
He C, Ren J, Liu W.
europepmc +1 more source

