Ensembles of classification and regression trees remain popular machine learning methods because they define flexible nonparametric models that predict well and are computationally efficient both during training and testing. During induction of decision trees one aims to find predicates that are maximally informative about the prediction target. To select good predicates most approaches estimat...

A novel topology for a high gain two-stage amplifier is proposed. The proposed circuit is designed in a way that the non-dominant pole is at output of the first stage. A positive capacitive feedback (PCF) around the second stage introduces a left half plane (LHP) zero which cancels the phase shift introduced by the non-dominant pole, considerably. The dominant pole is at the output node which m...

The Gene Ontology aims to define the universe of functions known for gene products, at the molecular, cellular and organism levels. While the ontology is designed to cover all aspects of biology in a “species independent manner,” the fact remains that many if not most biological functions are restricted in their taxonomic range. This is simply because functions evolve, i.e. like other biologica...

Abstract: In this study, we propose a novel kind of limited Nussbaum gain method to solve the unknown control direction problem of chaotic systems. It is necessary to consider the unknown control direction situation when chaos synchronization is used for secure communication. Also it is very useful to design a small gain with a Nussbaum method if the Nussbaum gain method is used in a real engin...

This paper describes numerical analyses of the distancedependent gain variation that exists in gain measurements based on the Friis transmission formula for typical broadband antennas, including doubleridged guide horn and log-periodic dipole array antennas. The analyses are performed by simulating gain measurements using the method of moments with higher-order basis functions and the finite in...

Cancer cells differ from normal cells in both gain of functions (i.e., upregulation) and loss of functions (i.e., downregulation). While it is common to suppress gain of function for chemotherapy, it remains challenging to target downregulation in cancer cells. Here we show the combination of enzyme-instructed assembly and disassembly to target downregulation in cancer cells by designing peptid...

We consider strongly connected networks of input-to-state stable (ISS) systems. Provided a small gain condition holds it is shown how to construct an ISS Lyapunov function using ISS Lyapunov functions of the subsystems. The construction relies on two steps: The construction of a strictly increasing path in a region defined on the positive orthant in R by the gain matrix and the combination of t...