Reinvigorating the Promise of the National Database for Autism Research (NDAR) to Advance Autism Knowledge.

The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource. We describe our NDAR experience in an ongoing project examining autism intervention outcomes among marginalized racial, ethnic, and gender groups.

Older adults with communication disabilities and their use of communication support at doctor's visits: a nationally representative study.

Purpose: Older adults with communication disabilities (CDs) experience barriers to receiving care and face a paucity of accommodations for their disability. Utilizing someone that supports communication with healthcare providers (communication support persons) may be a way that this group self-supports their disability. We examined if this utilization was independently associated with CDs among older adults.

Disparities in Smoking and Heavy Drinking Behaviors by Disability Status and Age of Disability Onset: Secondary Analysis of National Health Interview Survey Data.

Objectives: People with childhood-onset disabilities are living into adulthood, and the prevalence of smoking and illicit drug use among adults with disabilities is high. We evaluated the relationship between disability status and age of disability onset, current cigarette smoking status, and heavy alcohol drinking.

Methods: We conducted a secondary data analysis of the National Health Interview Survey (NHIS), a US survey on illness and disability.

Using Electronic Health Records to Identify Asthma-Related Acute Care Encounters.

Objective: Leveraging "big data" to improve care requires that clinical concepts be operationalized using available data. Electronic health record (EHR) data can be used to evaluate asthma care, but relying solely on diagnosis codes may misclassify asthma-related encounters. We created streamlined, feasible and transparent prototype algorithms for EHR data to classify emergency department (ED) encounters and hospitalizations as "asthma-related.

Computational study of diffraction image formation from XFEL irradiated single ribosome molecule.

Single particle imaging at atomic resolution is perhaps one of the most desired goals for ultrafast X-ray science with X-ray free-electron lasers. Such a capability would create great opportunity within the biological sciences, as high-resolution structural information of biosamples that may not crystallize is essential for many research areas therein. In this paper, we report on a comprehensive computational study of diffraction image formation during single particle imaging of a macromolecule, containing over one hundred thousand non-hydrogen atoms.