SRI International
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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 memory paradigm in this species.
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Build Supportive Learning Environments with Proven Practices from SRI’s Student Behavior Research Division
Did you know? More than one of every five students have, or are at risk for, an emotional or behavioral disorder, such as depression or ADHD. Additionally, research suggests many students may also face certain stressors, trauma or other problems in their daily lives, which can adversely affect a student’s learning, ability to focus on…
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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 the results of omics experiments.
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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.
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Leveraging Evidence-Centered design to develop assessments of Computational Thinking practices
This article describes how ECD was used to develop CT assessments for primary students in Hong Kong and secondary students in the United States.