The Ethiopian Neonatal Network (ENN) represents one of the first low-income country neonatal quality improvement (QI) ...

Discover what defines a monopolist, explore real-world examples, and understand criticisms, including how monopolies impact ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Efficiently identify and map tire fillers with streamlined material analysis—explore the details in this application note.

The purpose of this research is to define the conditions under which developing countries find themselves implementing Artificial Intelligence in their governance systems. This scientific contribution ...

Can You Chip In? We’re celebrating our 1 trillionth archived web page. If you find our library useful, learn how you can help us fundraise! Can You Chip In? We’re celebrating our 1 trillionth archived ...

Thank you so much for helping us close out our 2025 fundraiser. With your support, we'll accomplish even more in 2026. Have a wonderful New Year, and enjoy the archive! By submitting, you agree to ...

Abstract: Wafer map analysis is one of the most critical steps for monitoring wafer quality and tracking failures in the semiconductor manufacturing process. Defective dies on wafer bin maps (WBMs) ...

THE eleventh edition of this well-known work of reference has been carefully revised and new matte has been introduced in the Appendix. The results of typical analyses obtained in the laboratories of ...

QIT is a software package of computational tools for the modeling, analysis, and visualization of scientific imaging data. It was specifically developed for tractography and microstructure analysis of ...

Abstract: A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to ...