Mycobacterium ulcerans jest bakterią wywołującą choroby skóry u ludzi i zwierząt. W trakcie prowadzonych badań opracowano prostą w wykonaniu metodę ekstrakcji DNA Mycobacterium ulcerans z próbek środowiskowych oraz klinicznych. Opracowana metoda izolacji DNA może być przydatna w badaniu źródeł infekcji oraz dróg szerzenia się Mycobacterium ulcerans.

Dermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...

This paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine...

ABSTRACT In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domain’s past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest...