Results 81 to 90 of about 1,155,431 (277)

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

In Situ Degradation Kinetics of 25 Feedstuffs and the Selection of Time Points in Mathematical Statistics. [PDF]

Animals (Basel), 2023
Li S, He L, Mo F, Zhang W.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A statistical study of suicidal behavior of Indians

Egyptian Journal of Forensic Sciences, 2017
Background According to the reports published by the National Crime Records Bureau (NCRB) India, every year, the number of suicides are continuously increasing. The number of suicidal deaths in 2014 is 15.8% more than 2004. Objectives To briefly overview
Kirtee K. Kamalja, Nutan V. Khangar
doaj   +1 more source

Application of mathematical statistics to shale gas-bearing property evaluation and main controlling factor analysis. [PDF]

Sci Rep, 2022
Li M, Pang X, Xiong L, Hu T, Chen D, Zhao Z, Hui S.   +6 more
europepmc   +1 more source

Discussion of: Bayesian views of an archaeological find

, 2008
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]Comment: Published in at http://dx.doi.org/10.1214/08-AOAS99B the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of ...
Kadane, Joseph B.
core   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Interpretable Parkinson’s Disease Detection Using Group-Wise Scaling

IEEE Access
This study is aimed at detecting Parkinson’s disease by analyzing voice measurements made using a mobile phone. The key objectives include creating a model that ensures accurate predictions while maintaining interpretability, consistent with the ...
Niloofar Momeni, Susanna Whitling, Andreas Jakobsson   +2 more
doaj   +1 more source

Estimation in spin glasses: A first step

, 2006
The Sherrington--Kirkpatrick model of spin glasses, the Hopfield model of neural networks and the Ising spin glass are all models of binary data belonging to the one-parameter exponential family with quadratic sufficient statistic.
Chatterjee, Sourav
core   +4 more sources