How Likely Is A Big Stock Market Drop?

Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...
RMD Open

Global social media use among rheumatology professionals: the EULAR SoMeR Study Group survey

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...
Frontiers

A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...

Strengthening Data Quality in The Higg FEM: How We're Raising The Bar For Credible, Comparable Environmental Data

NORTHAMPTON, MA / ACCESS Newswire / December 18, 2025 / Discover how Cascale and Worldly are strengthening data quality in the Higg FEM through clearer guidance, smarter technology, and stronger ...
EDN

Building automotive data logging with F-RAM flash combo

Here is how combining F-RAM and NOR flash memory devices can meet the modern challenges of automotive data logging.
IEEE

Sparse Time–Frequency Analysis of Seismic Data: Sparse Representation to Unrolled Optimization

Abstract: Time–frequency analysis (TFA) is widely used to describe local time–frequency (TF) features of seismic data. Among the commonly used TFA tools, sparse TFA (STFA) is an excellent one, which ...
IEEE

Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion

Abstract: Ground-penetrating radar (GPR) with different center frequencies can detect defects at different depths with a range of resolutions enabling it to be used for subsurface defect inspection.