19 Works

Latch-based control of energy output in spring actuated systems

Sarah Bergbreiter, Sathvik Divi, Xiaotian Ma, Mark Ilton, Ryan St. Pierre, Babak Eslami & S. N. Patek
The inherent force-velocity trade-off of muscles and motors can be overcome by instead loading and releasing energy in springs to power extreme movements. A key component of this paradigm is the latch that mediates the release of spring energy to power the motion. Latches have traditionally been considered as switches; they maintain spring compression in one state and allow the spring to release energy without constraint in the other. Using a mathematical model, we demonstrate...

Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods

Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen & Yulia Tsvetkov

Image-derived models of cell organization changes during differentiation and drug treatments

Xiongtao Ruan, Gregory R. Johnson, Iris Bierschenk, Roland Nitschke, Melanie Boerries, Hauke Busch & Robert F. Murphy
PC12 cells are a popular model system to study changes driving and accompanying neuronal differentiation. While attention has been paid to changes in transcriptional regulation and protein signaling, much less is known about the changes in organization that accompany PC12 differentiation. Fluorescence microscopy can provide extensive information about these changes, although it is difficult to continuously observe changes over many days of differentiation. We describe a generative model of differentiation-associated changes in cell and nuclear...

Data Stories syllabus (2019)

Christopher Warren

Ictal source imaging in epilepsy patients - Supplementary Data

Shuai Ye, Lin Yang, Yunfeng Lu, Michal Kucewicz, Benjamin Brinkmann, Cindy Nelson, Abbas Sohrabpour, Gregory Worrell & Bin He
Objective Localization of seizure onset zone in focal epilepsy patients is a crucial step prior to surgical planning. Noninvasively achieving this goal would have a tremendous impact on clinical management of intractable seizure. Methods In a total of 39 focal epilepsy patients, we recorded and extracted 138 seizures and 1,325 interictal epileptic discharges using high-density EEG. We have investigated a novel approach for directly imaging sources of seizures and interictal spikes from high density EEG...

ISICLES Excel Tool- Electricity Generation

Daniel Gingerich, Yue Qin & Jeffrey Bielicki
An excel spreadsheet for the ISICLES Electricity Generation sector tool. The tool can be used to predict the size of generating capacity that can be constructed, the jobs created during constructing and operating that generating capacity, and the carbon dioxide emissions from it.

CCI_Research_Symposium_2020

Hannah Gunderman & Leah Cannon

ANI-CAS Antiviral Archive

Olexandr Isayev
The dataset files contain low-energy conformers and tautomers for 20,306 from the CAS Antiviral database. Original ~50K molecules were filtered for duplicates and drug-likeness. A collection consists of 67,167 tautomeric structures and ~6.6M conformers. After extensive sampling, for every tautomer we found low laying conformers within approx. 6 kcal/mol window using ANI-2x neural-network molecular potential. [DOI: 10.26434/chemrxiv.11819268.v1 ] The ANI-2x potential is approaching the accuracy of high-level QM calculations (wB97x-D). For each conformer we list...

Mouse substantia nigra responses to optogenetic stimulation of projections from striatum and globus pallidus

Ryan Phillips, Ian Rosner, Aryn Gittis & Jonathan Rubin
As a rodent basal ganglia (BG) output nucleus, the substantia nigra pars reticulata (SNr) is well positioned to impact behavior. SNr neurons receive GABAergic inputs from the striatum (direct pathway) and globus pallidus (GPe, indirect pathway). Dominant theories of action selection rely on these pathways' inhibitory actions. Yet, experimental results on SNr responses to these inputs are limited and include excitatory effects. Our study combines experimental and computational work to characterize, explain, and make predictions...

T15: FAIR for Data and Texts Not in the Open

Ye Li, Katie Zimmerman & Laura Hanscom
Course site for FAIR for Data and Texts Not in the Open

ANI-FDA Drugs Archive

Olexandr Isayev
The dataset files contain low-energy conformers and tautomers of 6,433 FDA approved & investigational drugs. A collection consists of 32,036 tautomeric structures and ~3M conformers. After extensive sampling, for every tautomer we found low laying conformers within approx. 6 kcal/mol window using ANI-2x neural-network molecular potential. The ANI-2x potential is approaching the accuracy of high-level QM calculations (wB97x-D). [DOI: 10.26434/chemrxiv.11819268.v1 ] For each conformer we list total energy, relative energy, and dipole-consistent partial atomic charges....

Data Reuse for Discovery (Initiative)

Bradly Alicea, Bhavik Nathwani, Huajin Wang, Sarvenaz Sarabipour & Marije Verhage

Keep It Simple: Streamlining Book Illustrations Improves Attention and Comprehension in Beginning Readers

Cassondra Eng, Karrie Godwin & Anna Fisher
This study used eye-tracking technology to examine whether extraneous illustrations (entertaining, but nonessential features to comprehend the story)–a design common in beginning reader storybooks–promote attentional competition and hinder reading comprehension in beginning readers. We used a within-subject design in two experiments with first and second grade children (N=120). Children were presented with a story in a commercially available “Standard” Condition and two experimental Conditions: a Streamlined Condition (Experiment 1; with extraneous illustrations removed) and a...

A neural network model of the effect of prior experience with regularities on subsequent category learning

Casey Roark, David Plaut & Lori Holt
Model data accompanying Roark, Plaut, & Holt. A neural network model of the effect of prior experience with regularities on subsequent category learning.

The representational glue for incidental category learning is alignment with task-relevant behavior

Casey Roark, Matthew Lehet, Frederic Dick & Lori Holt

Data Stories syllabus (2018)

Christopher Warren

What Code-Switching Strategies are Effective in Dialogue Systems?

Emily Ahn, Cecilia Jimenez, Yulia Tsvetkov & Alan Black

Long-term priors constrain category learning in the context of short-term statistical regularities

Casey Roark & Lori Holt

Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets

Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn Rosé & Eric Fosler-Lussier
Objective: Normalizing mentions of medical concepts to standardized vocabularies is a fundamental component of clinical text analysis. Ambiguity—words or phrases that may refer to different concepts—has been extensively researched as part of information extraction from biomedical literature, but less is known about the types and frequency of ambiguity in clinical text. This study characterizes the distribution and distinct types of ambiguity exhibited by benchmark clinical concept normalization datasets, in order to identify directions for advancing...

Registration Year

  • 2020
    19

Resource Types

  • Text
    12
  • Dataset
    7

Affiliations

  • Carnegie Mellon University
    19
  • University of Pittsburgh
    3
  • Carnegie Mellon University
    2
  • Vrije Universiteit Amsterdam
    1
  • University of Washington
    1
  • Duke University
    1
  • The Ohio State University
    1
  • University of Lübeck
    1
  • University of California, San Diego
    1
  • University of Minnesota
    1