Publications
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Measuring Quality Technology Integration in Science Classrooms
Here we present a new classroom observation protocol designed specifically to capture the quality of technology use to support science inquiry in high school science classrooms.
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Automatic Artifact Detection in Impedance Cardiogram Using Pulse Similarity Index
We proposed a new algorithm for the automatic detection and exclusion of corrupted ICG cardiac cycles by defining a pulse similarity index that quantifies the level of pulse corruption and…
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Trace Amine-Associated Receptor 1 Agonism Promotes Wakefulness Without Impairment of Cognition in Cynomolgus Macaques
We investigated the effects of TAAR1 agonism in Cynomolgus macaques, a diurnal species that exhibits consolidated night-time sleep, and evaluated the effects of TAAR1 agonists on cognition using a working…
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Linking expectations to evaluations: Using your logic model to create your evaluation plan
This brief provides guidance and examples for creating strong alignment between project evaluation plans and logic models.
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Wearable Sleep Technology in Clinical and Research Settings
The current state-of-the-art review aims to highlight use, validation and utility of consumer wearable sleep-trackers in clinical practice and research.
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The MultiOmics Explainer: Explaining Omics Results in the Context of a Pathway/Genome Database
We describe the MultiOmics Explainer, a new tool within the Pathway Tools software suite that leverages what is known about an organism’s metabolic and regulatory network to suggest explanations for…
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Privacy-Aware Adaptive Scheduling for Coalition Operations
We consider the use of an advanced cryptographic technique called secure multi-party computation to enable coalition members to achieve joint objectives while still meeting privacy requirements.
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Taking a critical look at your child find efforts
This blog post provides guidance on where to begin to examine child find data and practices and describes several resources that are available.
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Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (Stacked-STGCN) for action segmentation, i.e., predicting and localizing a sequence of actions over long videos.
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Metabolic Route Computation in Organism Communities
We developed an efficient software tool to search for metabolic routes that include metabolic reactions from multiple organisms.
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Mapping Individual to Group Level Collaboration Indicators Using Speech Data
To address the challenge of mapping characteristics of individuals’ speech to information about the group, we coded behavioral and learning-related indicators of collaboration at the individual level.
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Chiplet Micro-Assembly Printer
A deterministic, directed, parallel electrostatic assembly and transfer process is being developed to arrange chips for electronics applications.