Results 61 to 70 of about 183,945 (264)

Using Provenance to support Good Laboratory Practice in Grid Environments [PDF]

, 2011
Conducting experiments and documenting results is daily business of scientists. Good and traceable documentation enables other scientists to confirm procedures and results for increased credibility.
Kloss, Guy K., Ney, Miriam, Schreiber, Andreas   +2 more
core   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

The Mediterranean deep-sea fauna: historical evolution, bathymetric variations and geographical changes [PDF]

, 2004
The deep-water fauna of the Mediterranean is characterized by an absence of distinctive characteristics and by a relative impoverishment. Both are a result of events after the Messinian salinity crisis (Late Miocene).
Emig, Christian, Geistdoerfer, Patrick
core   +6 more sources

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced 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, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Fraud and Enforceability: Potential Implications for Federal Circuit Litigation [PDF]

, 2001
Should fraudulent litigation tactics and testimony affect the validity of underlying patents? What results are possible if the enforceability of a patent turns on the conduct of the applying party not only before the Patent and Trademark Office, but also
Kim, Michael
core   +2 more sources

Enabling Interactive Analytics of Secure Data using Cloud Kotta

, 2017
Research, especially in the social sciences and humanities, is increasingly reliant on the application of data science methods to analyze large amounts of (often private) data.
Babuji, Yadu N., Chard, Kyle, Duede, Eamon   +2 more
core   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Notes on UNDP involvement and future drafting projects [PDF]

, 1995
Notebooks/diaries containing Ann Seidman's thoughts and feelings regarding her interactions with members of the UNDP, as well as planning for future projects in legislative ...
Seidman, Ann
core  

CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis

EPJ Data Science, 2022
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best practices, and providing insights to the builders of scientific toolkits ...
Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff   +4 more
doaj   +1 more source

Game‐based learning for undergraduate consolidation: A qualitative study of how game‐based learning provides much more than knowledge acquisition

Anatomical Sciences Education, EarlyView.
Abstract Game‐based learning (GBL) is increasingly used in medical education to supplement traditional didactic learning methods. Adult learners in particular may benefit from GBL, given the autonomous and iterative nature of a well‐designed educational game.
Thomas J. Paddock, Erin P. Fillmore
wiley   +1 more source