Results 41 to 50 of about 46,923 (222)

A first step towards computing all hybridization networks for two rooted binary phylogenetic trees

, 2011
Recently, considerable effort has been put into developing fast algorithms to reconstruct a rooted phylogenetic network that explains two rooted phylogenetic trees and has a minimum number of hybridization vertices.
Albrecht, Benjamin, Linz, Simone, Scornavacca, Celine   +2 more
core   +4 more sources

Spatio‐Temporal Proteomic Landscape Reveals Early Warning Signals of Esophageal Squamous Cell Carcinoma Progression

Advanced Science, EarlyView.
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li, Jie Yuan, Min Gao, Jibin Liu, Qinqin Wang, Yaqi Zhang, Mingtao Cao, Xiaolin Hu, Hui Yang, Jun Li, Chen Li, Xiaoguang Li, Hui Wang   +12 more
wiley   +1 more source

Multi‐Crystal X‐Ray Diffraction (MCXRD) Bridges the Crystallographic Characterisation Gap in Chemistry and Materials Science: Application to MOFs

Angewandte Chemie, EarlyView.
Multi‐crystal X‐ray diffraction (MCXRD) methods allow accurate structural characterisation with crystals too small for single‐crystal X‐ray diffraction and too large for electron diffraction, as demonstrated here for metal‐organic frameworks, and alleviate the radiation‐induced chemical changes that can result from using high‐intensity X‐ray sources to
Joshua P. Smith, Rebecca Smith, Thomas M. Roseveare, Dominic Bara, Alexander J. R. Thom, Ross S. Forgan, Mark R. Warren, Anna J. Warren, Robin L. Owen, Lee Brammer   +9 more
wiley   +2 more sources

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

New Acceleration of Nearly Optimal Univariate Polynomial Root-findERS

, 2020
Univariate polynomial root-finding has been studied for four millennia and is still the subject of intensive research. Hundreds of efficient algorithms for this task have been proposed. Two of them are nearly optimal.
Pan, Victor Y.
core  

Change of basis for m-primary ideals in one and two variables

, 2019
Following recent work by van der Hoeven and Lecerf (ISSAC 2017), we discuss the complexity of linear mappings, called untangling and tangling by those authors, that arise in the context of computations with univariate polynomials.
Hyun, Seung Gyu, Melczer, Stephen, Schost, Éric, St-Pierre, Catherine   +3 more
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Boosting of Image Denoising Algorithms

, 2015
In this paper we propose a generic recursive algorithm for improving image denoising methods. Given the initial denoised image, we suggest repeating the following "SOS" procedure: (i) (S)trengthen the signal by adding the previous denoised image to the ...
Elad, Michael, Romano, Yaniv
core   +1 more source