We propose solutions for seamlessly integrating synthetic objects into background photographs at interactive rates. Recently developed image-based methods are used to capture real-world illumination, and sphere-mapping is used illuminate and render the synthetic objects. We present a new procedure for approximating shadows cast by the real-world illumination using standard hardwarebased shadow ...

The paper briefly describes the basics of frequency filter design method using synthetic immittance elements with current conveyors. An introduction of the paper explains the advantages and also disadvantages of using this method. Other chapters briefly introduce a design process of simple second order lowpass and high-pass filter. A theory of current conveyors is discussed too, because they ar...

Recent advances in synthetic biology have created genetic tools with the potential to enhance the specificity, dynamic control, efficacy, and safety of medical treatments. Interfacing these genetic devices with human patients may thus bring about more efficient treatments or entirely new solutions to presently intractable maladies. Here we review engineered circuits with clinical potential and ...

This paper examines the issues of integrating scientific knowledge and it attempts to reveal the potential of a more fundamental model of interdisciplinary science. Proposed is an approach which joins process science with process philosophy through a unifying hypothesis, intended to change the current mechanistic world view to one that is adaptive, flexible, integrated and process-oriented. It ...

This article introduces a mathematical approach to extracting some statistical parameters from noise-like sounds. This approach could define a new spectral model or extend existing ones to analyze and synthesize such complex sounds. In the future, this method could also permit electro-acoustic composers to make musical transformations. We have performed several synthesis tests with synthetic an...

The protein inference problem represents a major challenge in shotgun proteomics. In this article, we describe a novel Bayesian approach to address this challenge by incorporating the predicted peptide detectabilities as the prior probabilities of peptide identification. We propose a rigorious probabilistic model for protein inference and provide practical algoritmic solutions to this problem. ...

Programming by demonstration is an efficient way to acquire procedural knowledge, but it can require many examples to learn how to perform complex tasks. In this paper, we present a novel approach to using transfer learning in programming by demonstration. In particular, we describe a mechanism that learns how to transfer solutions to common subgoals from one task to another. We show that trans...

Although the activity interpretation of sucrose crystallization, already sueessfully applied to pure sucrose solutions and synthetic massesuites (11, does not require any mechanical or molecular model, it does imply (11d) an independence of any structural nature or transport behavior in the operating medium, it is therefore necessary to establish this suggested independence to warrant continued...

With increasing price volatility and growing awareness of the lack of sustainability of traditional chemical synthesis, microbial chemical production has been tapped as a promising renewable alternative for the generation of diverse, stereospecific compounds. Nonetheless, many attempts to generate them are not yet economically viable. Due to the zero-sum nature of microbial resources, tradition...

SUM queries are crucial for many applications that need to deal with probabilistic data. In this report, we are interested in the queries, called ALL_SUM, that return all possible sum values and their probabilities. In general, there is no efficient solution for the problem of evaluating ALL_SUM queries. But, for many practical applications, where aggregate values are small integers or real num...