DG Matrix raises $60M to make data center power smarter

The startup is making solid-state transformers capable of intelligently aggregating power from a number of different sources ...

CD Bioparticles Launches Advanced Magnetic Solid-Phase Extraction Particles for High-Throughput Sample Preparation

CD Bioparticles launches Magnetic Solid-Phase Extraction Particles to simplify complex sample preparation workflows NEW ...
PCMag

This Discord Alternative Reports Sign-Up Surge Amid Age-Verification Backlash

Some Discord users are flocking to open-source messaging protocol Matrix. But will it also be forced to require face scans or ...

Beneish Model: Definition, Examples, and M-Score Calculation

The Beneish model was designed by M. Daniel Beneish to quantify eight variables that can indicate that a company is misrepresenting its profits. Here’s how it works.
The Daily Upside

ETF Conversions from Mutual Funds Hit Record Highs

Cohen & Steers, which currently provides five ETFs, didn’t comment on the decision to switch the Future of Energy Fund. At about $130 million, that strategy is far from being the company’s biggest, ...
Frontiers

Meta-analysis of multi-center transcriptomic profiles and machine learning reveal phospholipase Cβ4 as a Wnt/Ca² + signaling mediator in glioblastoma immunotherapy

Introduction: Glioblastoma (GBM) is a highly aggressive brain tumor characterized by pronounced invasiveness, rapid progression, frequent recurrence, and poor clinical prognosis. Current treatment ...
IEEE

Neural Network Assisted Walsh Matrix-Based Fault Detection Technique for Power Transformer

Abstract: A new fault detection technique for power transformers using Walsh matrix analysis and a feedforward neural network is presented. Initially, Walsh coefficients are computed from the Walsh ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...