Distracted driving leads to a significant number of road crashes worldwide. Smartphone use is one the most common causes cognitive distraction among drivers. Available data on drivers’ phone presents an invaluable opportunity identify main factors behind this behavior. Machine learning (ML) techniques are effective for purpose. However, potential and usefulness these limited, due imbalance avai...

Decision trees are used as a convenient means to explain given positive examples and negative examples, which is a form of data mining and knowledge discovery. Standard methods such as ID3 may provide non-monotonic decision trees in the sense that data with larger values in all attributes are sometimes classified into a class with a smaller output value. (In the case of binary data, this is equ...

The role for the inhibitors of differentiation (Ids) proteins in melanomagenesis has been poorly explored. In other cell types, Ids have been shown to contribute to cell proliferation, migration and angiogenesis and, along with a number of other genes, are direct downstream targets of the transforming growth factor (TGF)-β pathway. Expression of Smad7, which suppress TGF-β signaling, or synthet...

Transgenic and gene targeted mice have contributed greatly to our understanding of the mechanisms underlying B-cell development. We describe here a model system that allows us to apply molecular genetic techniques to the analysis of human B-cell development. We constructed a retroviral vector with a multiple cloning site connected to a gene encoding green fluorescent protein by an internal ribo...

Development of immature T cell precursors beyond the beta-selection checkpoint is regulated by signals transduced by the pre-TCR complex. The pre-TCR-induced differentiation program is orchestrated by a network of transcription factors that serve to integrate this signaling information. Among these transcription factors are those of the early growth response (Egr) and NF-AT families. In this st...

This paper explores the proposition that inductive learning from examples is fundamentally limited to learning only a small fraction of the total space of possible hypotheses. We begin by deening the notion of an algorithm reliably learning a good approximation to a concept C. An empirical study of three algorithms (the classical algorithm for maximally speciic conjunctive generalizations, ID3,...

Several models of cell fate determination can be invoked to explain how single retinal progenitor cells (RPCs) produce different cell types in a terminal division. To gain insight into this process, the effects of the removal of a cell fate regulator, Notch1, were studied in newly postmitotic cells using a conditional allele of Notch1 (N1-CKO) in mice. Almost all newly postmitotic N1-CKO cells ...

This paper presents a heuristic, attribute-based, noise-tolerant data mining program, HCV (Version 2.0), based on the newly-developed extension matrix approach. By dividing the positive examples (PE) of a speciic class in a given example set into intersecting groups and adopting a set of strategies to nd a heuristic conjunctive formula in each group which covers all the group's positive example...

As the development of the welfare is concerned, many factors had to be constantly monitored to achieve reliable solutions in various fields particularly in the education domain. The first and foremost goal of any educational system is to continually maintain and increase the graduation rates periodically. To make this work better the performance and attitude of the pupil towards the education s...