Results 51 to 60 of about 1,655,202 (268)
Interest rates and information geometry [PDF]
20 pages, 3 ...
Brody, D C, Hughston, L P
openaire +4 more sources
Hamilton-Jacobi Theory and Information Geometry
Recently, a method to dynamically define a divergence function $D$ for a given statistical manifold $(\mathcal{M}\,,g\,,T)$ by means of the Hamilton-Jacobi theory associated with a suitable Lagrangian function $\mathfrak{L}$ on $T\mathcal{M}$ has been ...
C Lanczos +17 more
core +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Divergence Functions in Information Geometry [PDF]
10 ...
Felice, Domenico, Ay, Nihat
openaire +2 more sources
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Information geometry and phase transitions [PDF]
6 pages with 1 ...
Janke, W., Johnston, D. A., Kenna, R.
openaire +2 more sources
Information Geometry under Hierarchical Quantum Measurement
This is a short version of arXiv:2109 ...
Hongzhen Chen, Yu Chen, Haidong Yuan
openaire +3 more sources
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
A critical processing step for AI algorithms is mapping the raw data to a landscape where the similarity of two data points is conveniently defined. Frequently, when the data points are compositions of probability functions, the similarity is reduced to ...
Giovanni Pistone, Muhammad Shoaib
doaj +1 more source
Laplace's rule of succession in information geometry
Laplace's "add-one" rule of succession modifies the observed frequencies in a sequence of heads and tails by adding one to the observed counts. This improves prediction by avoiding zero probabilities and corresponds to a uniform Bayesian prior on the ...
E Takimoto +6 more
core +2 more sources

