PURPOSE The purpose of this study was to create a vision-related quality of life (VRQoL) prediction system to identify visual field (VF) test points associated with decreased VRQoL in patients with glaucoma. METHOD VRQoL score was surveyed in 164 patients with glaucoma using the 'Sumi questionnaire'. A binocular VF was created from monocular VFs by using the integrated VF (IVF) method. VRQoL ...

The processes of landscape change are complex, exhibiting spatial variability as well as linear, cyclical, and reversible characteristics. To better understand the various processes that cause transformation, a data aggregation, validation, and attribution approach was developed and applied to an analysis of the Southeastern Coastal Plains (SECP). The approach integrates information from availa...

BACKGROUND Routinely collected health data (RCD) are increasingly used for randomized controlled trials (RCTs). This can provide three major benefits: increasing value through better feasibility (reducing costs, time, and resources), expanding the research agenda (performing trials for research questions otherwise not amenable to trials), and offering novel design and data collection options (e...

The methodological underpinnings of AI are slowly changing. Benchmarks, testbeds, and controlled experimentation are becoming more common. While we are optimistic that this change can solidify the science of AI, we also recognize a set of diicult issues concerning the appropriate use of this methodology. We discuss these issues as they relate to research on agent design. We survey existing test...

One reason for the delay of open-architecture control system in industry action is that no clear and hierarchical design method has evolved. Different application environment and object should have different open levels, applying platforms, system architectures and integration method. Abstract open control concepts or characters must be converted into specific and practical applying objects and...

We present a series of deep learning models for predicting user engagement with twitter content, as measured by the number of retweets for a given tweet. We train models based on classic LSTM-RNN and CNN architectures, along with a more complex bi-directional LSTM-RNN with attention layer. We show that the attention RNN performs the best with 61% validation accuracy, but that all three deep lea...

conclusions the persian handwriting assessment tool as a comprehensive and quickly scored tool that can help therapists identify primary school students with handwriting problems so that appropriate interventions for these students can be implemented. methods this methodological study was conducted in tehran, iran during 2015 - 2016. measurement items were selected by reviewing the past literat...

Restraint-based modeling of genomes has been recently explored with the advent of Chromosome Conformation Capture (3C-based) experiments. We previously developed a reconstruction method to resolve the 3D architecture of both prokaryotic and eukaryotic genomes using 3C-based data. These models were congruent with fluorescent imaging validation. However, the limits of such methods have not system...