Results 211 to 220 of about 7,648,901 (345)

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake   +9 more
wiley   +1 more source

The Relationship between Intensive Care Unit’s Nurses’ Informatics Competency and Quality of Patients’ Electronic Health Record’s Documentation

open access: yesJordan Journal of Nursing Research
Background: Nursing Informatics (NI) and the development and growth of Health Information Technology (HIT) are becoming a necessary part of all aspects of the nursing practice, especially in critical care settings. In addition, researchers agree on using
Laila Akhu-Zaheya, Mohammad Etoom
doaj  

Towards Addressing the Opportunities and Challenges of Web 2.0 for Health and Informatics [PDF]

open access: hybrid, 2008
M. Cabrer   +5 more
openalex   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

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