Abstract As our understanding of abiotic factors continues to grow, along with insights into the biological traits of organisms, so too does the sophistication of studies exploring global diversification and spatio‐temporal distribution patterns. The global distribution of coastal Cafius rove beetles, combined with the endemic distribution patterns ...
Kee‐Jeong Ahn, Jeong‐Hun Song
wiley +1 more source
Deep learning methods for 2D material electronic properties.
Mishchenko A +5 more
europepmc +1 more source
CFT Correlators and Mapping Class Group Averages. [PDF]
Romaidis I, Runkel I.
europepmc +1 more source
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning. [PDF]
Dai W, Wang Y, Yan S, Yu Q, Cheng X.
europepmc +1 more source
Collective behavior of higher-order globally coupled oscillatory networks in response to positive and negative couplings. [PDF]
Yang L, Li M, Jiang J.
europepmc +1 more source
Probing the Kitaev honeycomb model on a neutral-atom quantum computer. [PDF]
Evered SJ +17 more
europepmc +1 more source
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition. [PDF]
Chen B +5 more
europepmc +1 more source
Optical Spin Angular Momentum: Properties, Topologies, Detection and Applications. [PDF]
Liu S, Xie X, Shi P, Shen Y.
europepmc +1 more source
The action of tensor product for topological groupoids
Seemaa Mohammed Ali, Taghreed Hur Majeed
semanticscholar +3 more sources
Distance-Based Topological Indices of Tensor Product of Graphs
Let G and H be connected graphs. The tensor product G + H is a graph with vertex set V(G+H) = V (G) X V(H) and edge set E(G + H) ={(a , b)(x , y)| ax ∈ E(G) & by ∈ E(H)}. The graph H is called the strongly triangular if for every vertex u and v there exists a vertex w adjacent to both of them.
H. Khodashenas, M J Nadjafi Arani
semanticscholar +3 more sources

