Parametric Solid Models of the At-Term Uterus From Magnetic Resonance Images.

Birthing mechanics are poorly understood, though many injuries during childbirth are mechanical, like fetal and maternal tissue damage. Several biomechanical simulation models of parturition have been proposed to investigate birth, but many do not include the uterus. Additionally, most solid models rely on segmenting anatomical structures from clinical images to generate patient geometry, which can be time-consuming.

SCANet: Securing the Weights With Superparamagnetic-MTJ Crossbar Array Networks.

Deep neural networks (DNNs) form a critical infrastructure supporting various systems, spanning from the iPhone neural engine to imaging satellites and drones. The design of these neural cores is often proprietary or a military secret. Nevertheless, they remain vulnerable to model replication attacks that seek to reverse engineer the network's synaptic weights.

Self-care activities among patients with diabetes attending a tertiary care hospital in mangalore karnataka, India.

Background: Increasing prevalence of diabetes in India is resulting in an epidemiological transition. The care of the people with diabetes is traditionally seen as doctor centered, but the concept of self-care of people with diabetes is a new domain and is proven beneficial.

Aim: The aim was to determine the practice of self-care activities among people with diabetes attending a tertiary care hospital in Mangalore.