OBJECTIVE Little is known about the role(s) B cells play in obesity-induced metabolic dysfunction. This study used a mouse with B-cell-specific deletion of Id3 (Id3(Bcell KO)) to identify B-cell functions involved in the metabolic consequences of obesity. APPROACH AND RESULTS Diet-induced obese Id3(Bcell KO) mice demonstrated attenuated inflammation and insulin resistance in visceral adipose ...

Breast cancer is the second leading cause of mortality among female patients worldwide. Early detection breast considerd as one most effective ways to prevent disease from spreading and enable human can make correct decision on next process. Automatic diagnostic methods were frequently used conduct diagnoses in order increase accuracy speed detection. The fuzzy-ID3 algorithm with association fu...

Dear Editor, Somatic cells can be reprogrammed into pluripotent stem cells, called induced pluripotent stem cells (iPSCs), by defined transcription factors (Takahashi et al., 2006). The reprogramming of somatic cells may be a continuous stochastic process in which nearly all somatic donor cells have the ability to give rise to iPSCs with continuous passaging and the expression of defined factor...

Inductive learning is the learning that is based on induction. In inductive learningDecision tree algorithms are very famous. For the appropriate classification of the objects with the given attributes inductive methods use these algorithms basically. These algorithms are very important in the classification of the objects. That is why many of these algorithms are used in the intelligent system...

The innate-like T cells expressing Vg1.1 and Vd6.3 represent a unique T cell lineage sharing features with both the gd T and the invariant NKT cells. The population size of Vg1.1 + Vd6.3 + T cells is tightly controlled and usually contributes to a very small proportion of thymic output, but the underlying mechanism remains enigmatic. Deletion of Id3, an inhibitor of E protein transcription fact...

The aim of this paper is presented a method for obtaining a linguistic model that reflects the behavior of a combined well-known data. The method is based on the technique of successive division of the input space (as CART[1] and ID3[4]). The obtained rules have linguistic variables as antecedent and consequent. So, incorporating the concept of linguistic intervals (as disjunctions of linguisti...

The present paper aims at constructing the decision tree for a given database which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the output. The database is generated using the sampling techniques and the classification algorithm is applied on the samples. The obtained results are compared with experimental results in order to verify the validity a...

Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3 to Web attack detection. Even though simple, ID3 is sufficient to put apart a number of Web attacks, including a large proportion of ...