QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for MATLAB) developed by Stephen J. Sangwine and Nicolas Le Bihan. Their ...

We aimed to use symptom-based stratification to identify the subtype-specific pathophysiology of dry eye disease (DED) in Sjögren’s syndrome (SS). We retrospectively enrolled patients with SS who ...

The five-pattern personality traits rooted in the theory of traditional Chinese medicine (TCM) have promising prospects for clinical application. However, they are currently assessed using a ...

Moyamoya disease (MMD) is a rare and complex pathological condition characterized by an abnormal collateral circulation network in the basal brain. The diagnosis of MMD and its progression is ...

The goal is to develop a neural network/machine learning-based solution to generate mimicked movements from a mouse given an initial xy position and a final XY position. Datasets will not be provided, ...

With a great variety of shapes and sizes, compound eye morphologies give insight into visual ecology, development, and evolution, and inspire novel engineering. In contrast to our own camera-type eyes ...

The “in silico–in vitro–in vivo” funnel holds significant potential for identifying targets to control cellular processes in research and clinical applications. In this report, we describe a framework ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...

We revisit the concept of loss aversion by synthesizing distinct views into an integrative framework and by probing physiological biomarkers associated with the behavior. The framework decomposes loss ...