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251,432 full-text articles. Page 7975 of 7978.

Self-Assembly, Condensation, And Order In Aqueous Lyotropic Chromonic Liquid Crystals Crowded With Additives, Luana Tortora, Heung-Shik Park, Shin-Woong Kang, Victoria Savaryn, Seung-Ho Hong, Konstantine Kaznatcheev, Daniele Finotello, Samuel Sprunt, Satyendra Kumar, Oleg Lavrentovich 2009 Brookhaven National Laboratory

Self-Assembly, Condensation, And Order In Aqueous Lyotropic Chromonic Liquid Crystals Crowded With Additives, Luana Tortora, Heung-Shik Park, Shin-Woong Kang, Victoria Savaryn, Seung-Ho Hong, Konstantine Kaznatcheev, Daniele Finotello, Samuel Sprunt, Satyendra Kumar, Oleg Lavrentovich

Oleg Lavrentovich

Dense multicomponent systems with macromolecules and small solutes attract a broad research interest as they mimic the molecularly crowded cellular interiors. The additives can condense and align the macromolecules, but they do not change the degree of covalentpolymerization. We chose a lyotropic chromonic liquid crystal with reversibly and non-covalently assembled aggregates as a much softer system, reminiscent of “living polymers”, to demonstrate that small neutral and charged additives cause condensation of aggregates with ensuing orientational and positional ordering and nontrivial morphologies of phase separation, such as tactoids and toroids of the nematic and hexagonal columnar phase coexisting with the isotropic ...


Cortical Underconnectivity Coupled With Preserved Visuospatial Cognition In Autism: Evidence From An Fmri Study Of An Embedded Figures Task, Saudamini Damarla, Timothy A. Keller, Rajesh K. Kana, Vladimir L. Cherkassky, Diane L. Williams, Nancy J. Minshew, Marcel Adam Just 2009 Carnegie Mellon University

Cortical Underconnectivity Coupled With Preserved Visuospatial Cognition In Autism: Evidence From An Fmri Study Of An Embedded Figures Task, Saudamini Damarla, Timothy A. Keller, Rajesh K. Kana, Vladimir L. Cherkassky, Diane L. Williams, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.


Bent-Core Liquid Crystal Elastomers, Rafael Verduzco, Paul Luchette, Seung Ho Hong, John Harden, Elaine DiMasi, Peter Palffy-Muhoray, S. Michael Kilbey II, Jim T. Gleeson, Antal Jákli 2009 Kent State University - Kent Campus

Bent-Core Liquid Crystal Elastomers, Rafael Verduzco, Paul Luchette, Seung Ho Hong, John Harden, Elaine Dimasi, Peter Palffy-Muhoray, S. Michael Kilbey Ii, Jim T. Gleeson, Antal Jákli

Peter Palffy-Muhoray

Liquid crystal (LC) elastomers with bent-core side-groups incorporate the properties of bent-core liquid crystals in a flexible and self-supporting polymer network. Bent-core liquid crystal elastomers (BCEs) with uniform alignment were prepared by attaching a reactive bent-core LC to poly(hydrogenmethylsiloxane) and crosslinking with a divinyl crosslinker. Phase behavior studies indicate a nematic phase over a wide temperature range that approaches room temperature, and thermoelastic measurements show that these BCEs can reversibly change their length by more than a factor of two upon heating and cooling. Small-angle X-ray scattering studies reveal multiple, broad low-angle peaks consistent with short-range smectic C order ...


Nearest Neighbor Based Collection Ocr, Pramod Sankar K., C. V. Jawahar, R. Manmatha 2009 University of Massachusetts - Amherst

Nearest Neighbor Based Collection Ocr, Pramod Sankar K., C. V. Jawahar, R. Manmatha

R. Manmatha

Conventional optical character recognition (OCR) systems operate on individual characters and words, and do not normally exploit document or collection context. We describe a Collection OCR which takes advantage of the fact that multiple examples of the same word (often in the same font) may occur in a document or collection. The idea here is that an OCR or a reCAPTCHA like process generates a partial set of recognized words. In the second stage, a nearest neighbor algorithm compares the remaining word-images to those already recognized and propagates labels from the nearest neighbors. It is shown that by using an ...


Improving State-Of-The-Art Ocr Through High-Precision Document-Specific Modeling, Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller 2009 University of Massachusetts - Amherst

Improving State-Of-The-Art Ocr Through High-Precision Document-Specific Modeling, Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller

Andrew Kae

Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models that are vulnerable to cases in which the docu- ment is noisy or is written in a font dissimilar to the stored fonts. We address these problems by learning character models directly from the document itself, rather than using pre-stored font models. This method has had some success in the past, but we are able to achieve substantial improve- ment in error reduction through a novel method for creating nearly error-free document-specifictraining data and ...


Binary Tidal Disruption Radius, Eric Addison 2009 Utah State University

Binary Tidal Disruption Radius, Eric Addison

Eric Addison

An expression for the tidal disruption radius of a binary system is calculated.


Information Cost Tradeoffs For Augmented Index And Streaming Language Recognition, Amit Chakrabarti, Graham Cormode, Ranganath Kondapally, Andrew McGregor 2009 University of Massachusetts - Amherst

Information Cost Tradeoffs For Augmented Index And Streaming Language Recognition, Amit Chakrabarti, Graham Cormode, Ranganath Kondapally, Andrew Mcgregor

Andrew McGregor

This paper makes three main contributions to the theory of communication complexity and stream computation. First, we present new bounds on the information complexity of AUGMENTED-INDEX. In contrast to analogous results for INDEX by Jain, Radhakrishnan and Sen [J. ACM, 2009], we have to overcome the significant technical challenge that protocols for AUGMENTED-INDEX may violate the “rectangle property” due to the inherent input sharing. Second, we use these bounds to resolve an open problem of Magniez, Mathieu and Nayak [STOC, 2010] that asked about the multi-pass complexity of recognizing Dyck languages. This results in a natural separation between the standard ...


The Genomics Education Partnership: Successful Integration Of Research Into Laboratory Classes At A Diverse Group Of Undergraduate Institutions, Elizabeth Shoop, et al 2009 Macalester College

The Genomics Education Partnership: Successful Integration Of Research Into Laboratory Classes At A Diverse Group Of Undergraduate Institutions, Elizabeth Shoop, Et Al

Elizabeth Shoop

No abstract provided.


Rollout Sampling Policy Iteration For Decentralized Pomdps, Feng Wu, Shlomo Zilberstein, Xiaoping Chen 2009 University of Massachusetts - Amherst

Rollout Sampling Policy Iteration For Decentralized Pomdps, Feng Wu, Shlomo Zilberstein, Xiaoping Chen

Shlomo Zilberstein

We present decentralized rollout sampling policy iteration (DecRSPI)--a new algorithm for multiagent decision problems formalized as DEC-POMDPs. DecRSPI is designed to improve scalability and tackle problems that lack an explicit model. The algorithm uses Monte-Carlo methods to generate a sample of reachable belief states. Then it computes a joint policy for each belief state based on the rollout estimations. A new policy representation allows us to represent solutions compactly. The key benefits of the algorithm are its linear time complexity over the number of agents, its bounded memory usage and good solution quality. It can solve larger problems that ...


Improving State-Of-The-Art Ocr Through High-Precision Document-Specific Modeling, Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller 2009 University of Massachusetts - Amherst

Improving State-Of-The-Art Ocr Through High-Precision Document-Specific Modeling, Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller

Erik G Learned-Miller

Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models that are vulnerable to cases in which the docu- ment is noisy or is written in a font dissimilar to the stored fonts. We address these problems by learning character models directly from the document itself, rather than using pre-stored font models. This method has had some success in the past, but we are able to achieve substantial improve- ment in error reduction through a novel method for creating nearly error-free document-specifictraining data and ...


Constructing Skill Trees For Reinforcement Learning Agents From Demonstration Trajectories, George Konidaris, Scott Kuindersma, Andrew Barto, Roderic Grupen 2009 University of Massachusetts - Amherst

Constructing Skill Trees For Reinforcement Learning Agents From Demonstration Trajectories, George Konidaris, Scott Kuindersma, Andrew Barto, Roderic Grupen

Roderic Grupen

We introduce CST, an algorithm for constructing skill trees from demonstration trajectories in continuous reinforcement learning domains. CST uses a change-point detection method to segment each trajectory into a skill chain by detecting a change of appropriate abstraction, or that a segment is too complex to model as a single skill. The skill chains from each trajectory are then merged to form a skill tree. We demonstrate that CST constructs an appropriate skill tree that can be further refined through learning in a challenging continuous domain, and that it can be used to segment demonstration trajectories on a mobile manipulator ...


Learning From A Single Demonstration: Motion Planning With Skill Segmentation, Scott Kuindersma, George Konidaris, Roderic Grupen, Andrew Barto 2009 University of Massachusetts - Amherst

Learning From A Single Demonstration: Motion Planning With Skill Segmentation, Scott Kuindersma, George Konidaris, Roderic Grupen, Andrew Barto

Roderic Grupen

We propose an approach to control learning from demonstration that first segments demonstration trajectories to identify subgoals to solve the overall task. Using this approach, we show that a mobile robot is able to solve a combined navigation and manipulation task robustly after observing only a single successful trajectory.


The 1905 Einstein Equation In A General Mathematical Analysis Model Of Quasars, Byron E. Bell 2009 DePaul University and Columbia College Chicago

The 1905 Einstein Equation In A General Mathematical Analysis Model Of Quasars, Byron E. Bell

Byron E. Bell

No abstract provided.


Joint Feature Selection And Classification For Taxonomic Problems Within Fish Species Complexes, Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart 2009 University of Mississippi

Joint Feature Selection And Classification For Taxonomic Problems Within Fish Species Complexes, Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart

Huimin Chen

It is estimated that 90% of the world’s species are yet to be discovered and described. The main reason for the slow pace of new species description is that the science of taxonomy can be very laborious. To formally describe a new species, taxonomists have to manually gather and analyze data from large numbers of specimens and identify the smallest subset of external body characters that uniquely diagnose the new species as distinct from all its known relatives. In this paper, we present an automated feature selection and classification scheme using logistic regression with controlled false discovery rate to ...


Using Description Logics For The Provision Of Context-Driven Content Adaptation Services, Stephen J.H. Yang, Jia Zhang, Jeff J.S. Huang, Jeffrey J.P. Tsai 2009 Carnegie Mellon University, Silicon Valley

Using Description Logics For The Provision Of Context-Driven Content Adaptation Services, Stephen J.H. Yang, Jia Zhang, Jeff J.S. Huang, Jeffrey J.P. Tsai

Jia Zhang

No abstract provided.


Valency Dependence Of Polymorphism And Polyamorphism In Dna-Functionalized Nanoparticles, Wei Dai, Chia Wei Hsu, Francesco Sciortino, Francis W. Starr 2009 Wesleyan University

Valency Dependence Of Polymorphism And Polyamorphism In Dna-Functionalized Nanoparticles, Wei Dai, Chia Wei Hsu, Francesco Sciortino, Francis W. Starr

Francis Starr

Nanoparticles (NP) functionalized with single-stranded DNA (ssDNA) offer a route to custom-designed, self- assembled nanomaterials with potentially unusual properties. The bonding selectivity of DNA guarantees one-to-one binding to form double-stranded DNA (dsDNA), and an appropriate base sequence results in head-to-tail binding linking NP into networks. We explore the phase behavior and structure of a model for NP functionalized with between 3 and 6 short ssDNA through simulations of a coarse-grained molecular model, allowing us to examine both the role of the number of attached strands (valency) and their relative orientations. The NP assemble into networks where the number of NP ...


How A Bayesian Might Estimate The Distribution Of Cronbach’S Alpha From Ordinal-Dynamic Scaled Data A Case Study Measuring Nursing Home Resident Quality Of Life, Byron J. Gajewski, Diane K. Boyle, Sarah Thompson 2009 University of Kansas Medical Center

How A Bayesian Might Estimate The Distribution Of Cronbach’S Alpha From Ordinal-Dynamic Scaled Data A Case Study Measuring Nursing Home Resident Quality Of Life, Byron J. Gajewski, Diane K. Boyle, Sarah Thompson

Diane Kay Boyle PhD, RN, FAAN

We demonstrate the utility of a Bayesian based approach for calculating intervals of Cronbach’s alpha from a psychological instrument having ordinal responses with a dynamic scale. A small number of response options on an instrument will cause traditional-based interval estimates to be biased. Ordinal-based solutions are problematic because there is no clear mechanism for handling the dynamic scale. One way to remedy the bias is to adjust with a Bayesian approach. The Bayesian approach adjusts the bias and allows theoretically simple calculations of Cronbach’s alpha and intervals. We demonstrate the calculations of the Bayesian approach while at the ...


Self-Assembly, Condensation, And Order In Aqueous Lyotropic Chromonic Liquid Crystals Crowded With Additives, Luana Tortora, Heung-Shik Park, Shin-Woong Kang, Victoria Savaryn, Seung-Ho Hong, Konstantine Kaznatcheev, Daniele Finotello, Samuel Sprunt, Satyendra Kumar, Oleg Lavrentovich 2009 Kent State University - Kent Campus

Self-Assembly, Condensation, And Order In Aqueous Lyotropic Chromonic Liquid Crystals Crowded With Additives, Luana Tortora, Heung-Shik Park, Shin-Woong Kang, Victoria Savaryn, Seung-Ho Hong, Konstantine Kaznatcheev, Daniele Finotello, Samuel Sprunt, Satyendra Kumar, Oleg Lavrentovich

Satyendra Kumar

Dense multicomponent systems with macromolecules and small solutes attract a broad research interest as they mimic the molecularly crowded cellular interiors. The additives can condense and align the macromolecules, but they do not change the degree of covalentpolymerization. We chose a lyotropic chromonic liquid crystal with reversibly and non-covalently assembled aggregates as a much softer system, reminiscent of “living polymers”, to demonstrate that small neutral and charged additives cause condensation of aggregates with ensuing orientational and positional ordering and nontrivial morphologies of phase separation, such as tactoids and toroids of the nematic and hexagonal columnar phase coexisting with the isotropic ...


Africa Water Atlas, Stanley Mubako 2009 University of Texas at El Paso

Africa Water Atlas, Stanley Mubako

Stanley Mubako

No abstract provided.


Biomechanical Analysis Of Gait Adaptation In The Nematode Caenorhabditis Elegans, Christopher Fang-Yen, M Wyart, J Xie, R Kawai, S Chen, T Kodger, Q Wen, A D T Samuel 2009 Harvard University

Biomechanical Analysis Of Gait Adaptation In The Nematode Caenorhabditis Elegans, Christopher Fang-Yen, M Wyart, J Xie, R Kawai, S Chen, T Kodger, Q Wen, A D T Samuel

Christopher Fang-Yen

No abstract provided.


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