Results 171 to 180 of about 175,631 (262)

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

A novel ranked <i>k</i>-nearest neighbors algorithm for missing data imputation. [PDF]

J Appl Stat
Khan Y, Shah SF, Asim SM.
europepmc   +1 more source

Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study. [PDF]

Biomed Res Int, 2020
Köse T, Özgür S, Coşgun E, Keskinoğlu A, Keskinoğlu P.   +4 more
europepmc   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale. [PDF]

Front Psychol
Casella M, Milano N, Dolce P, Marocco D.
europepmc   +1 more source

Do Universal Free School Meals Improve the Dietary Quality of Food‐At‐Home Purchases?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Since 2014, the number of schools offering universal free meals to all enrolled children without requiring annual meal applications has increased meaningfully. Using USDA's Purchase to Plate Crosswalk, a difference‐in‐differences framework, and a nationwide consumer panel, the effect of universal‐free‐meal exposure on the diet quality of food ...
Xueying Ma, Andres Cuadros‐Meñaca, Michael R. Thomsen   +2 more
wiley   +1 more source

Imputation for Lipidomics and Metabolomics (ImpLiMet): a web-based application for optimization and method selection for missing data imputation. [PDF]

Bioinform Adv
Ou H, Surendra A, McDowell GSV, Hashimoto-Roth E, Xia J, Bennett SAL, Čuperlović-Culf M.   +6 more
europepmc   +1 more source

Is the whole larger than the sum of its parts? Impact of missing data imputation in economic evaluation conducted alongside randomized controlled trials. [PDF]

Eur J Health Econ, 2020
Michalowsky B, Hoffmann W, Kennedy K, Xie F.   +3 more
europepmc   +1 more source

Voluntary Collective Action to Address Growing Agricultural Challenges in Two Countries: Experimental Insights and Commonalities

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley   +1 more source

Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM. [PDF]

BMC Med Res Methodol
Niako N, Melgarejo JD, Maestre GE, Vatcheva KP.   +3 more
europepmc   +1 more source