Results 41 to 50 of about 64,008 (285)

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

Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis

IEEE Access
To enhance the quality of speech signals, this paper introduces a novel speech signal processing method that integrates Dynamic Multi-Scale (DMS) and Adaptive Error Minimization (AEM) techniques.
Zefei Guo, Xiao Li, Yuchen Zhang
doaj   +1 more source

Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition

Jixie chuandong, 2023
Aiming at the deficiency of variational mode decomposition (VMD) in on-demand extraction of weak feature components, a generalized VMD (GVMD) is proposed to extract the weak features of rolling bearing faults.
Guo Yanfei, Chen Gaohua, Wang Qinghua
doaj  

Multi-Scale Spatial–Temporal Transformer: A Novel Framework for Spatial–Temporal Edge Data Prediction

Applied Sciences, 2023
Spatial–temporal prediction is an important part of a great number of applications, such as urban traffic control, urban traffic management, and urban traffic planning. However, real-world spatial–temporal data often have complex patterns, so it is still
Junhao Ming, Dongmei Zhang, Wei Han
doaj   +1 more source

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

FEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc, Blaž Stres, Mirica Karlovits, Igor Karlovits, Petra Jerič, Ondrej Panák, Anja Verbič, Blaž Likozar, Uroš Novak   +8 more
wiley   +1 more source

Multi‐Scale Decomposition for Skillful All‐Season MJO Prediction With Deep Learning

Geophysical Research Letters
The Madden‐Julian Oscillation (MJO) is a key intraseasonal atmospheric pattern in the tropics, significantly influencing global weather and extreme events.
Miae Kim, Daehyun Kang, Soo‐Jin Sohn, Gayoung Kim, Jinyoung Rhee, Sunyong Kim   +5 more
doaj   +1 more source

Image Fusion Using Quaternion Wavelet Transform and Multiple Features

IEEE Access, 2017
Multi-scale-based image fusion is one of main fusion methods, in which multi-scale decomposition tool and feature extraction play very important roles.
Pengfei Chai, Xiaoqing Luo, Zhancheng Zhang   +2 more
doaj   +1 more source

Infrared and visible image fusion algorithm based on spatial domain and image features.

PLoS ONE, 2022
Multi-scale image decomposition is crucial for image fusion, extracting prominent feature textures from infrared and visible light images to obtain clear fused images with more textures.
Liangjun Zhao, Yun Zhang, Linlu Dong, Fengling Zheng   +3 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source