Background Climate change has driven shifts in breeding phenology of many amphibians, causing phenological mismatches (e.g., predator-prey interactions), and potentially population declines.Collecting data with high spatiotemporal sensitivity on hibernation emergence and breeding times can inform conservation best practices.However, monitoring the
Prediction-Based Filter Updating Policies for Top- Monitoring Queries in Wireless Sensor Networks
Processing top- k query in an energy-efficient manner is an important topic in wireless sensor networks.Redundant data transmitting between base station and sink node is avoided by installing filters on sensor nodes; thus, communication 3 Layered Christmas Shaker Ornament overhead between base station and sensor nodes is decreased.However, existing
Significant roles of 4D printing using smart materials in the field of manufacturing
For many years, 3D Printing technologies have created significant advancements in the fields of engineering and healthcare.4D printing is also introduced, which is the advanced version of 3D printing.The process of 4D printing is when a printed 3D object becomes another structure due to the influence of outside energy inputs such as temperature, li
A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI
Abstract Objectives This study employs dynamic contrast-enhanced MRI (DCE-MRI) to noninvasively predict the proliferative subtype of hepatocellular carcinoma (HCC).This subtype is marked by high tumor proliferation and aggressive clinical behavior.We developed a deep learning prediction model that employs a dynamic radiomics workflow and self-super