Fibre regulation came in for scrutiny. The report describes the current system as fragmented, rigid and unnecessarily burdensome. It proposes streamlining rules, removing duplication and consolidating ...

Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...

Researchers have identified a new method for analyzing chest CT scans that may help physicians better understand the different forms of sarcoidosis, a complex inflammatory lung disease that affects ...

egnite, Inc. Receives U.S. Patent for NLP-Based Algorithm That Classifies Mitral Regurgitation Mechanism from Echocardiographic Reports Patent recognizes egnite's novel approach to identifying ...

Patent D1120288 S1. Vent for tile roof. Jakob D. Fiser, Little Rock.

An executive order upended an NIH policy requiring researchers to account for both sexes in preclinical animal studies.

The TSSAA Board of Control has eliminated the success formula for Division II-AA and DII-AAA football teams. A new method will establish a minimum of 12 teams in DII-AAA, with the largest schools by ...

TSSAA football teams in Division II-AA and DII-AAA will no longer be affected by a success formula after the Board of Control approved a change at its March 4 meeting. The Board eliminated the success ...

Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as Kiswahili.

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...