Publications
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Neurobiology of Alcohol Dependence: Focus on Motivational Mechanisms
Recent research focusing on brain arousal, reward, and stress systems is accelerating our understanding of the components of alcohol dependence and contributing to the development of new treatment strategies.
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Findings from a two-year effectiveness trial of the Science Notebook in a Universal Design for Learning Environment
This cluster randomized control trial examines the effects of the Science Notebook in a Universal Design for Learning Environment (SNUDLE) on elementary school student science academic achievement and motivation outcomes.
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Risk for depression tripled during the COVID-19 pandemic in emerging adults followed for the last 8 years
The aim of this study was to examine longitudinal changes in depression risk before and during COVID-19 in a cohort of emerging adults in the U.S. and to determine whether…
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Screen Time Use Among US Adolescents During the COVID-19 Pandemic: Findings From the Adolescent Brain Cognitive Development (ABCD) Study
The aims of this study were to evaluate adolescents’ self-reported screen use during the pandemic and to assess mental health and resiliency factors associated with screen use.
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A Summary of PDG B-5 Grantee’s Coordinated Eligibility and Enrollment Activities and the Impact of COVID-19
In this report, we summarize the initial 23 Preschool Development Grant Birth through Five (PDG B-5) renewal states’ planned CEE activities.
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Elementary Teacher Adaptations to Engineering Curricula to Leverage Student and Community Resources
This paper addresses an important consideration for promoting equitable engineering instruction: understanding how teachers contextualize curricular materials to draw upon student and community resources.
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Metabolic Modeling with MetaFlux
The MetaFlux software supports creating, executing, and solving quantitative metabolic flux models using flux balance analysis (FBA).
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Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models
Error maps can indicate when a correctly attended region may be processed incorrectly leading to an incorrect answer, and hence, improve users' understanding of those cases.
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Challenges in Procedural Multimodal Machine Comprehension: A Novel Way to Benchmark
We identify three critical biases stemming from the question-answer generation process and memorization capabilities of large deep models.
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Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cue
We propose simple CNN deep-learning models that take in spatio-temporal representations of individual student roles and behavior annotations as input for group collaboration assessment.
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Brief Report: Replication of the Five-Factor Structure of the Autism Impact Measure (AIM) in an Independent Sample
The Autism Impact Measure is a caregiver-reported, behaviorally based measure designed to assess both frequency and functional impact of core ASD symptoms in children.
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Global Heading Estimation for Wide Area Augmented Reality Using Road Semantics for Geo-referencing
We present a method to estimate global camera heading by associating directional information from road segments in the camera view with annotated satellite imagery.