Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no classifiers have been strictly validated for independent cohorts. Here we overcome these difficulties by developing a novel machine-learning algorithm that identifies a small number of FCs that separates ASD versus TD. The classifier achieves high accuracy for a Japanese discovery cohort and demonstrates a remarkable degree of generalization for two independent validation cohorts in the USA and Japan. The developed ASD classifier does not distinguish individuals with major depressive disorder and attention-deficit hyperactivity disorder from their controls but moderately distinguishes patients with schizophrenia from their controls. The results leave open the viable possibility of exploring neuroimaging-based dimensions quantifying the multiple-disorder spectrum.

You’ve probably heard a lot of “futurists” talk about data, but it’s not always clear how data relate to our day to day work in libraries.

Why are data important, and what’s the big deal? Data are not just spreadsheets and numbers, but come in many different shapes, colors, and flavors! In this presentation, we will give an introduction to data, talk about why it is relevant, and demonstrate how to and use data in practical situations. We will also provide innovative examples that will inspire you to connect with your colleagues and patrons!

The Arizona State University Libraries’ fun Library Minute video series brings information about resource and services to a large student body. For the first time, we present a workshop walking through the entire production process from start to finish and offering suggestions on how to fit multimedia into your marketing and outreach strategy. In this session, we will produce a short video with participants in three steps:

1. Conceptualization and Planning.
2. Recording.
3. Editing and Distribution.

Digital Production Manger Matthew Harp will demonstrate the tools and process and elaborate on the use of social media, YouTube, and the Internet Archive in the distribution plan. Together with Mimmo Bonanni and Library Minute Host Anali Perry, we’ll share our tips and tricks for video production using whatever resources are available.

Presented at the 2011 Arizona Library Association Conference 2011 - Tucson, Arizona

The combined use of methamphetamine and opioids has been reported to be on the rise throughout the United States (U.S.). However, our knowledge of this phenomenon is largely based upon reported overdoses and overdose-related deaths, law enforcement seizures, and drug treatment records; data that are often slow, restricted, and only track a portion of the population participating in drug consumption activities. As an alternative, wastewater-based epidemiology (WBE) has the capability to track licit and illicit drug trends within an entire community, at a low cost and in near real-time, while providing anonymity to those contributing to the sewer shed. In this study, wastewater was collected from two Midwestern U.S. cities (2017-2019) and analyzed for the prevalence of methamphetamine and the opioids oxycodone, codeine, fentanyl, tramadol, hydrocodone, and hydromorphone. Monthly 24-hour time-weighted composite samples (n = 48) from each city were analyzed using isotope dilution liquid chromatography tandem mass spectrometry. Results showed that methamphetamine and total opioid consumption (milligram morphine equivalents) in City 1 were strongly correlated only in 2017 (Spearman rank order correlation coefficient, ρ = 0.78), the relationship driven by fentanyl, hydrocodone, and hydromorphone. For City 2, methamphetamine and total opioid consumption were strongly positively correlated during the entire study (ρ = 0.54), with the correlations driven by hydrocodone and hydromorphone. In both cities, hydrocodone and hydromorphone mass loads were highly correlated, suggesting a parent and metabolite relationship. WBE provides important insights into licit and illicit drug consumption patterns in near real-time as they evolve; important information for community stakeholders in municipalities across the U.S.