Publications
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New Developments in Sleep Research: Molecular Genetics, Gene Expression, and Systems Neurobiology
This mini-symposium review highlights some recent developments at the gene, molecular, cellular, and systems levels that have advanced this field.
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Rapid Alterations in Cortical Protein Profiles Underlie Spontaneous Sleep and Wake Bouts
Preliminary microarray analyses show that changes in behavioral state influence regional mRNA profiles; however, the impact of sleep on protein signatures is virtually unexplored. In these studies, cortical protein profiles…
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Laser Desorption Studies Using Laser-Induced Fluorescence of Large Aromatic Molecules
Pulsed laser desorption of non-volatile organic dye molecules paraterphenyl and tetra-t-butyl-p-quinquephenyl (QUI) was studied using gas phase ultraviolet laser induced fluorescence...
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Planning and Learning Algorithms for Routing in Disruption-Tolerant Networks
We give an overview of algorithms that we have been developing in the DARPA disruption-tolerant networking program, which aims at improving communication in networks with intermittent and episodic connectivity.
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Designing Learning Environments
Designed for current and future teachers, professors, and administrators, the 100 chapters highlight the major topics, issues, questions, and debates faced by educators today, providing more detailed information than typical…
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Hydrogen Collisions in Planetary Atmospheres, Ionospheres, and Magnetospheres
Here we present a critical evaluation of the current state of understanding of the chemical reaction rates and collision cross sections for several important hydrogen collision processes in planetary atmospheres, ionospheres,…
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Correlation of Population Parameters Leading to Power Differences in Association Studies with Population Stratification
We implemented a genetic model for population-based association studies with stratified samples and evaluated the impact on power with different genetic scenarios.
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Computing textual inferences
In this talk I show how AKRs are derived from parsed text and discuss the system's algorithm for entailment and contradiction detection (ECD).
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Machine learning attacks against the ASIRRA CAPTCHA
In this paper, we describe a classifier which is 80.6% accurate in telling apart the images of cats and dogs used in ASIRRA.
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Testable commitments
We introduce testable commitments; a cryptographic technique for verifying that only the right information has been withheld without the need for a trusted third party.
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Detecting reviewer bias through Web-based association mining
Our method, together with self-regulation, provides for more comprehensive detection of bias in reviews by alerting the user to the potential for an undisclosed relationship between a reviewer and author.
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Free relatives with -ever: free choice and uncertainty
In this talk, the speaker will discuss PARC's approach to circuit design and modeling in the context of building sensor systems in partnership with Thinfilm Electronics based on an ink-jet…