Workers' pay has not kept pace with productivity growth for 30 years, research suggests

Research suggests that the typical worker's pay has not kept pace with productivity growth in Australia for 30 years. The ...

Who is the Supreme Court’s most “ideological” justice? And does that question even make sense?

Supreme Court ideology is shaped by issue area, docket, coalition, case selection, and the public visibility of votes. The ...

The Web Is Growing A Second Layer – Almost A Third Head

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...
Tech Times

Microsoft Copilot Merges Into One App in August as Feature Cuts Reveal a Paid-Adoption Crisis

Microsoft Copilot super app merges consumer and enterprise tools into one unified app targeting August 2026, as a blunt ...
UroToday

Reverberant wavefield characterization and directional filtering for penile vibro-elastography: a pilot feasibility study in post-prostatectomy erectile dysfunction.

Penile vibro-elastography is complicated by reverberant shear wavefields from the cylindrical geometry of the corpus cavernosum (CC), which bias shear wave speed (SWS) estimates. This study evaluated ...

10 Dependable Stock Chart Patterns for Technical Analysis

Fundamental analysis tries to determine value and estimate the future market price based on a stock's underlying fundamentals ...
IEEE

Directed Graph Learning via Smooth Signals and Directional Flow

Abstract: Graph Signal Processing (GSP) offers a structured way to model and analyze complex data networks. However, a consistent challenge in real world applications is that the underlying graph ...
GitHub

Brucesquared2/BiGCN-WEB-TREE-BUSINESS-FORMAT-

Paper of the source codes released: Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang. Rumor Detectionon Social Media with Bi-Directional Graph Convolutional Networks ...
Frontiers

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks

Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct ...
PNAS

Community detection for directed networks revisited using bimodularity

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...