More than 10 schools will appeal SCHSL class placement. Here’s what we know

South Florence and West Florence high schools will make appeals, according to state athletics sources, that contend reporting ...

Understanding Spinning in IPOs: Definition, Impacts, and Examples

Learn about spinning in IPOs, including its significance and ethical implications. Explore historical examples like Goldman Sachs and eBay's Meg Whitman.
Business.com on MSN

How do workers’ compensation rates work?

Workers' compensation rates are affected by several factors. Learn what workers' compensation covers, and how to calculate ...
Morning Overview on MSN

Scientists found a lifeform they can’t classify, and it’s baffling

Biologists are confronting a problem they thought they had mostly solved: what, exactly, counts as life. A wave of ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Columbus Dispatch

The FHSAA releases new football classifications. What's the Gainesville area impact?

The Florida High School Athletic Association has reclassified football divisions for the next two seasons. Gainesville-area teams will see significant changes in their classifications and district ...
Roll Tide Wire

Lopsided TSSAA football state championships spark discussion on postseason changes

Can TSSAA football changes be made to make the state finals more exciting? Lopsided 2025 title games had people asking that question.
GitHub

cbloss (Class Balanced Loss)

cbloss is a Python package that provides Pytorch implementation of - Class-Balanced Loss Based on Effective Number of Samples. Focal Loss is a popular loss function for imbalanced classification ...
IEEE

Perturbation-Based SMOTE for Multi-Class Imbalanced Classification

Abstract: Multi-class imbalanced classification is a challenge in machine learning. The classical synthetic minority oversampling technique (SMOTE) alleviates this challenge by balancing the class ...
indiafilings.com

What Is Trademark Class and Why Is It Important?

A trademark is a distinctive symbol, name, logo, or slogan that sets your goods or services apart from others in the market. It is a powerful tool for establishing brand recognition and building ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Scientific Research Publishing

UML Class Diagram Classification Using Category Theory ()

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...