Future Concepts division- publications
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Fragment-based screening for inhibitors of PDE4A using enthalpy arrays and X-ray crystallography
Here we have used enthalpy arrays, which are arrays of nanocalorimeters, to perform an enzyme activity based fragment screen for competitive inhibitors of phosphodiesterase 4A (PDE4A).
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Highly sensitive tactile sensors integrated with organic transistors
A capacitive pressure sensor with a nano-needle dielectric was successfully fabricated by a facile breath figures method and demonstrated a record sensitivity among polymer tactile sensors.
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Tweeting with Hummingbird: privacy in large-scale micro-blogging OSNs
In this paper, we assess privacy in today's Twitter-like OSNs and describe an architecture and a trial implementation of a privacy-preserving service called Hummingbird a variant of Twitter that protects…
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Time encoded multicolor fluorescence detection in a microfluidic flow cytometer
We present an optical detection technique that delivers high signal-to-noise discrimination to enable a multi-parameter flow cytometer that combines high performance, robustness, compactness and low cost.
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Fast and private computation of cardinality of set intersection and union
This paper explores a few PSI-CA variations and constructs several protocols that are more efficient than the state-of-the-art.
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Two-dimensional deformation potential model of mobility in small molecule organic semiconductors: DNTT-C10 and BTBT-C12
The high mobility measured in alkylated DNTT and BTBT molecules [1,2] raises the possibility that band transport may be achievable in solution processed organic semiconductors.
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Handheld flow cytometer for rapid pathogen characterization in water
In order to achieve more timely assessment of water quality, PARC is developing a compact and robust platform for rapid pathogen characterization in water.
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Privacy Preserving Data Quality Assessment
This paper examines challenges in privacy-preserving data quality assessment.
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An analysis of how ensembles of collective classifiers improve predictions in graphs
In this paper, we present a theoretical analysis framework that shows how ensembles of collective classifiers can improve predictions for graph data.
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Solving inverse configuration space problems by adaptive sampling
We show that solutions to such problems may be efficiently approximated directly in the 6D configuration space SE(3) of relative motions by adaptive sampling.
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Unbiased learning of controversial topics
We designed a user study to analyze various factors that may help in learning about a controversial topic without bias.
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BiasTrust: teaching biased users about controversial topics
Abstract Deciding whether a claim is true or false often requires understanding the evidence supporting and contradicting the claim. However, when learning about a controversial claim, human biases and viewpoints…