Results 51 to 60 of about 870,005 (280)

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Fast Spectral Clustering Using Autoencoders and Landmarks

, 2017
In this paper, we introduce an algorithm for performing spectral clustering efficiently. Spectral clustering is a powerful clustering algorithm that suffers from high computational complexity, due to eigen decomposition.
A Choromanska, A Paccanaro, AK Farahat, C Fowlkes, FR Chung, GE Hinton   +5 more
core   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Numerical Matrix Decomposition

, 2021
In 1954, Alston S. Householder published \textit{Principles of Numerical Analysis}, one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition-the factorization of a matrix into the product of lower and upper triangular matrices.
openaire   +2 more sources

Noninvasive fetal ECG extraction using doubly constrained block-term decomposition

Mathematical Biosciences and Engineering, 2020
Fetal electrocardiogram (fECG) monitoring is a beneficial method for assessing fetal health and diagnosing the fetal cardiac condition during pregnancy.
Iman Mousavian, Mohammad Bagher Shamsollahi, Emad Fatemizadeh   +2 more
doaj   +1 more source

The Eigenspace Spectral Regularization Method for Solving Discrete Ill-Posed Systems

Journal of Applied Mathematics, 2021
This paper shows that discrete linear equations with Hilbert matrix operator, circulant matrix operator, conference matrix operator, banded matrix operator, TST matrix operator, and sparse matrix operator are ill-posed in the sense of Hadamard.
Fredrick Asenso Wireko, Benedict Barnes, Charles Sebil, Joseph Ackora-Prah   +3 more
doaj   +1 more source

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +1 more source

Experimental validation of the reverse polar decomposition of depolarizing Mueller matrices [PDF]

Journal of the European Optical Society-Rapid Publications, 2007
We experimentally assess the validity of the reverse polar decomposition (R. Ossikovski et al., Opt. Lett. 32, 689 (2007)), which describes any Mueller matrix as a product of a depolarizer, a diattenuator and a retarder with the diattenuator placed after
Anastasiadou Makrina, Ben Hatit Sami, Ossikovski Razvigor, Guyot Steve, De Martino Antonello   +4 more
doaj   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Fast Circulant Tensor Power Method for High-Order Principal Component Analysis

IEEE Access, 2021
To understand high-order intrinsic key patterns in high-dimensional data, tensor decomposition is a more versatile tool for data analysis than standard flat-view matrix models. Several existing tensor models aim to achieve rapid computation of high-order
Taehyeon Kim, Yoonsik Choe
doaj   +1 more source