Results 181 to 190 of about 4,499,855 (300)
Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare. [PDF]
Ramachandran M, Fouracre S.
europepmc +1 more source
ANNarchy: a code generation approach to neural simulations on parallel hardware. [PDF]
Vitay J, Dinkelbach HÜ, Hamker FH.
europepmc +1 more source
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules. [PDF]
Linssen C +5 more
europepmc +1 more source
Accelerating The Virtual Brain with code generation and GPU computing [PDF]
Woodman M, Jirsa V.
europepmc +1 more source
Formal methods can in principle provide the highest levels of assurance of code safety by providing formal proofs as explicit evidence for the assurance claims.
Fischer, Bernd +2 more
core +1 more source
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli +3 more
wiley +1 more source
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines. [PDF]
Trofimova E, Sataev E, Ustyuzhanin A.
europepmc +1 more source
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
An integrated modeling, verification, and code generation for uncrewed aerial systems: less cost and more efficiency. [PDF]
Zhang J, Zhang L, Wu Y, Ma L, Yang F.
europepmc +1 more source

