Here’s Why the Maximum-Point-Blank-Range Aiming System Is Flawed

Sighting in to use max-point-blank-range aiming? Make sure you consider dispersion and calculate your target size correctly, ...

Weight-loss drugs draw thousands of lawsuits alleging serious harm

More than 4,400 lawsuits have been filed since millions of Americans embraced GLP-1 drugs like Ozempic, Wegovy and Mounjaro ...
Communications of the ACMOpinion

The Patterns of Research Excellence

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...

Systematic Sampling: What It Is, Pros and Cons

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Goldseiten

EQS-News: EcoGraf Delivers Gold Results and Strategy including 4.45 g/t Gold Rock Chip Sample

High-Grade Gold Results at Hazina Prospect from Maiden Exploration Confirms Strong Gold Prospectivity EcoGraf Ltd. is pleased to announce positive results from the maiden exploration program conducted ...

Ecograf Delivers Gold Results And Strategy Including 4.45 G/T Gold Rock Chip Sample

Ecograf Delivers Gold Results And Strategy Including 4.45 G/T Gold Rock Chip Sample. EcoGraf Limited / Key word(s): Miscellaneous EcoGraf Delivers Gold Results and Strategy including 4.45 g/t Gold ...
IEEE

Semi-Supervised Covariance Estimation Using Clustering for Small Sample Size Problem

Abstract: Small sample size (SSS) problem is still a puzzle in classification. For the generally used Maximum Likelihood Classifier (MLC), the small size of training sample with respect to the ...
GitHub

Sample Code to Use Azure OpenAI Service's Whisper API from Python

This is a simple sample code that demonstrates how to use the Azure OpenAI Service's Whisper API to transcribe audio files using Python. Please make sure to replace the placeholder values in the .env ...
IEEE

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition

Abstract: Few-shot named entity recognition (NER) systems recognize entities using a few labeled training examples. The general pipeline consists of a span detector to identify entity spans in text ...