Due to the influence of volume conduction, information redundancy exists between
electrodes in electroencephalogram (EEG) signals, resulting in low spatial resolution …

Let B n be a linear polyomino chain with n squares. In this paper, according to the
decomposition theorem of normalized Laplacian polynomial, we obtain that the normalized …

Let Hn be a linear crossed hexagonal chain with n crossed hexagonals. In this article, we
find that the Laplacian (resp. normalized Laplacian) spectrum of Hn consists of the …

Let Ln be the molecular graph of linear [n] phenylene, and Ln the graph obtained by
attaching 4-membered cycles to the terminal hexagons of Ln− 1. Thus, Ln is the molecular …

One of the prominent challenges in precision medicine is to select the most appropriate
treatment strategy for each patient based on the personalized information. The availability of …

The vast majority of real-world networks are scale-free, loopy, and sparse, with a power-law
degree distribution and a constant average degree. In this paper, we study first-order …

Let W n be a linear pentagonal chain with 2 n pentagons. In this article, according to the
decomposition theorem for the normalized Laplacian polynomial of W n, we obtain that the …

Determining sensitive drugs for a patient is one of the most critical problems in precision
medicine. Using genomic profiles of the tumor and drug information can help in tailoring the …

Let be the molecular graph of the linear [n] phenylene with n hexagons and n− 1 squares,
and let be the graph obtained by attaching four‐membered rings to the terminal hexagons …

The quadrilateral graph Q (G) of G is obtained from G by replacing each edge in G with two
parallel paths of lengths 1 and 3. In this paper, we completely describe the normalized …