output
20142026
most citedHamiltonian and action formalisms for two-dimensional gyroviscous MHD

26 citations

5 papers

cs.CV2026

Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks

Pei-Yu Lin, Yidan Shen, Neville Mathew +6

Melanoma is the most lethal form of skin cancer, and early detection is critical for improving patient outcomes. Although dermoscopy combined with deep learning has advanced automa…

cond-mat.str-el2023

The Second Landau Level Projection of Antiholomorphic Pfaffian Wavefunctions

Jian Yang

We propose a new state described by the second Landau level (SLL) projection of a generalized Moore-Read Pfaffian wavefunction with an antiholomorphic pairing component. Unlike the…

cs.LG2021★ 6 cited

An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures

Nishanth. Anandanadarajah, C. H. Chu, R. Loganantharaj

Mutations in proto-oncogenes (ONGO) and the loss of regulatory function of tumor suppression genes (TSG) are the common underlying mechanism for uncontrolled tumor growth. While ca…

math.CO2014

Combinatorial Properties of Rogers-Ramanujan-Type Identities Arising from Hall-Littlewood Polynomials

Claire Frechette, Madeline Locus

Here we consider the -series coming from the Hall-Littlewood polynomials, \begin{equation*} R_ν(a,b;q)=\sum_{\substack{λ\\[1pt] λ_1\leq a}} q^{c|λ|} P_{2λ}\big(1,q,q^2,\dots;q^{…

physics.plasm-ph2014★ 26 cited

Hamiltonian and action formalisms for two-dimensional gyroviscous MHD

P. J. Morrison, M. Lingam, R. Acevedo

A general procedure for constructing action principles for continuum models via a generalization of Hamilton's principle of mechanics is described. Through the procedure, an action…