Redesigning Diabetes Care for Treatment Inertia: A Population Health Model.

In the past 2 decades, health care has witnessed technological and pharmacological advancements leading to innovations in diabetes management. Despite these advances, published guidelines, and treatment algorithms, most people with diabetes remain above glycemic targets. Thus, the authors designed a novel care model aimed at improving several causative factors, including therapeutic inertia, limited access to endocrinology and cardiovascular specialists, time constraints, and complexity in incorporating clinical practice guidelines.

Training a Neural Network for Vocal Stereotypy Detection.

This system was developed to detect and diagnose vocal stereotypies made by non-verbal autistic children. Vocal stereotypies are loud non-speech vocalizations made by these children.The system discussed in this paper uses a deep learning neural network to detect these vocalizations.

Vocal Stereotypy Detection: An Initial Step to Understanding Emotions of Children with Autism Spectrum Disorder.

A system has been developed to automatically record and detect behavioral patterns and vocal stereotypy which is also known as vocal stimming, a non-verbal vocalization often observed in children with Autism Spectrum Disorder (ASD). The system incorporates audio, video and wearable accelerometer based sensors. Microphones and video camera were used to collect data and were used for analysis.

Two new species of freshwater crayfish of the genus Faxonius (Decapoda: Cambaridae) from the Ozark Highlands of Arkansas and Missouri.

Two new species of freshwater crayfish are described from the Ozarks Plateau of northern Arkansas and southern Missouri. Both species are restricted to the mainstem of rocky streams that are at least fourth-order or greater in size. Recent genetic and morphological investigations of the coldwater crayfish, Faxonius eupunctus Williams, 1952, indicated that it was actually composed of several undescribed species.