Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Kavli Affiliate: Marcela Carena | First 5 Authors: Marcela Carena, Ian Low, Carlos E. M. Wagner, Ming-Lei Xiao, | Summary: We study information-theoretic properties of scalar models containing two Higgs doublets $Phi_a$, where $a=1,2$ is the flavor quantum number. Considering the 2-to-2 scattering $Phi_a Phi_b to Phi_c Phi_d$ as a two-qubit system in the flavor […]


Continue.. Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Kavli Affiliate: Marcela Carena | First 5 Authors: Marcela Carena, Ian Low, Carlos E. M. Wagner, Ming-Lei Xiao, | Summary: We study information-theoretic properties of scalar models containing two Higgs doublets $Phi_a$, where $a=1,2$ is the flavor quantum number. Considering the 2-to-2 scattering $Phi_a Phi_b to Phi_c Phi_d$ as a two-qubit system in the flavor […]


Continue.. Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Min Zhu, | Summary: Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). However, the generalizability and explainability are […]


Continue.. Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Xinyi Wang, Min Zhu | Summary: Biomedical studies have revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). The generalizability is a […]


Continue.. Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning