25 research outputs found
Subcutaneous dirofilariasis caused by Dirofilaria immitis mimicking a large epidermal cyst
Detection of parvovirus B19 in skin biopsy, serum, and bone marrow of a patient with fever, rash, and polyarthritis followed by pneumonia, pericardial effusion, and hepatitis
Effects of dietary fat and protein on DMH‐induced tumor development and immune responses
Mononeuropathy multiplex associated with acute parvovirus B19 infection: characteristics, treatment and outcome
Sparsity Data Reduction In Textual Network Analysis. An exercise on Sustainability meaning
In this paper, we propose a new strategy to derive an unweighted adjacency matrix
from an affiliation matrix. The strategy is based on the use of a biclustering
technique in order to reduce the sparsity of the matrix without changing the network
structure. As an example, we implemented this approach to seek the common
meaning of the term sustainability by using an affiliation matrix characterized by
a core-periphery structure. The application of BiMax Biclustering algorithm shows
a sparsity reduction of the unweighted adjacency matrix with an invariant network
structure