Carbohydrates are conformationally very complex molecules. It is this complexity that lies at the basis of the important roles that these molecules play in many biochemical and biomaterial systems. Moreover, the unusual response of these macromolecules to their environment allow them to play these often critical roles. This is particularly true for solvated carbohydrates. A knowledge of the mol...

We propose a complete methodology to develop custom monofocal Intraocular Lens (IOL) designs and evaluate their performance on-axis based on an analytical formulation. The analytical formulation was based on Gaussian and primary aberration theory applied to custom (individual biometric data) and realistic (multilayer cornea and thick IOL) pseudoaphakic eye models. Gradient-based optimization al...

I present a general diffusion-based modeling framework for the analysis of animal movements in heterogeneous landscapes, including terms representing advection, mortality, and edge-mediated behavior. I use adjoint operator theory to develop mathematical machinery for the assessment of a number of biologically relevant quantities, such as occupancy times, hitting probabilities, quasi-stationary ...

There are more than two hundred biological data repositories available for public access, and a vast number of applications to process and interpret biological data. A major challenge for bioinformaticians is to extract and process data from multiple data sources using a variety of query interfaces and analytical tools. In this paper, we describe tools that respond to this challenge by providin...

OVERVIEW: Volume production of 90-nm node semiconductor products began in 2003, and research has been already well advanced on products for the next-generation 65-nm technology node. As feature sizes descend further into the deep submicrometer range, it becomes increasingly important for maintaining quality and streamlined production to exploit a range of analytical tools that are tightly integ...

With visual analytical tools becoming more sophisticated and prevalent in the analysis communities, it is now apparent that understanding how analysts utilize these tools is more important than ever. Such understanding can lead to improving the tools, but a more subtle and equally important aspect lies in the discovery of the analysts’ reasoning process for solving complex problems through the ...

FluKB is a knowledge-based system focusing on data and analytical tools for influenza vaccine discovery. The main goal of FluKB is to provide access to curated influenza sequence and epitope data and enhance the analysis of influenza sequence diversity and the analysis of targets of immune responses. FluKB consists of more than 400,000 influenza protein sequences, known epitope data (357 verifi...

Renewable energy planners in developing countries should be cautious in using analytical tools formulated in developed countries. Traditional energy consumption, economic and demography transitions, high-income inequality, and informal economy are some characteristics of developing countries that may contradict the assumptions of mainstream, widely used analytical tools. In this study, we synth...

Most existing visual analytical tools that incorporate knowledge are tailored for specific analytical tasks. Although these tools are useful and powerful, it is often difficult to generalize the approaches utilized in these tools for knowledge incorporation to new problems or domains. In this paper, we propose a method for integrating a visual analytical tool with an ontological knowledge struc...