For Arabic retrieval-augmented generation, sentence-aware chunking, BGE-M3 and Multilingual-E5-large embeddings, bge-reranker-v2-m3, and Aya-8B yield the highest RAGAS scores across six Arabic datasets.
Hamiltonian structure of reduced fluid models for plasmas obtained from a kinetic description
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We consider the Hamiltonian structure of reduced fluid models obtained from a kinetic description of collisionless plasmas by Vlasov-Maxwell equations. We investigate the possibility of finding Poisson subalgebras associated with fluid models starting from the Vlasov-Maxwell Poisson algebra. In this way, we show that the only possible Poisson subalgebra involves the moments of zeroth and first order of the Vlasov distribution, meaning the fluid density and the fluid velocity. We find that the bracket derived in [Phys. Rev. Lett. 93, 175002 (2004)] which involves moments of order 2 is not a Poisson bracket since it does not satisfy the Jacobi identity.
citation-role summary
citation-polarity summary
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
For Arabic retrieval-augmented generation, sentence-aware chunking, BGE-M3 and Multilingual-E5-large embeddings, bge-reranker-v2-m3, and Aya-8B yield the highest RAGAS scores across six Arabic datasets.