Contributions of Demand/Withdraw Processes and Alcohol Consumption on Emotional Flooding in Distressed Violent versus Distressed Non-Violent Couples.

Purpose: Although alcohol-related intimate partner violence (IPV) is a serious public health problem, the mechanisms underlying this association are poorly understood. For instance, prior research has shown differences in distressed violent (DV) and distressed nonviolent (DNV) couples' demand/withdraw communication and the extent to which they become emotionally flooded (i.e.

Online support for all: Examining participant characteristics, engagement, and perceived benefits of an online harm reduction, abstinence, and moderation focused support group for alcohol and other drugs.

Objective: Online support groups for individuals with substance use disorders are regularly used, yet little is known about participant engagement patterns. Preliminary research has examined utilization and perceived benefits of an abstinence-focused online social network. This study sought to extend these findings by examining participant characteristics, engagement, and perceived benefits of online support groups for individuals with broader personal substance use goals (Harm reduction, Abstinence, and Moderation Support [HAMS]).

Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments.

A new visualization tool, Cinema:Bandit, and its demonstration with a continuous workflow for analyzing shock physics experiments and visually exploring the data in real time at X-ray light sources is presented. Cinema:Bandit is an open-source, web-based visualization application in which the experimenter may explore an aggregated dataset to inform real-time beamline decisions and enable post hoc data analysis. The tool integrates with experimental workflows that process raw detector data into a simple database format, and it allows visualization of disparate data types, including experimental parameters, line graphs, and images.

Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality.

We present Bento Box, a virtual reality data visualization technique and bimanual 3D user interface for exploratory analysis of 4D data ensembles. Bento Box helps scientists and engineers make detailed comparative judgments about multiple time-varying data instances that make up a data ensemble (e.g.

Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space.

We present a direct manipulation technique that allows material scientists to interactively highlight relevant parameterized simulation instances located in dimensionally reduced spaces, enabling a user-defined understanding of a continuous parameter space. Our goals are two-fold: first, to build a user-directed intuition of dimensionally reduced data, and second, to provide a mechanism for creatively exploring parameter relationships in parameterized simulation sets, called ensembles. We start by visualizing ensemble data instances in dimensionally reduced scatter plots.