Results 91 to 100 of about 8,062,965 (379)

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

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters

, 2017
As the world's largest radio telescope, the Square Kilometer Array (SKA) will provide radio interferometric data with unprecedented detail. Image reconstruction algorithms for radio interferometry are challenged to scale well with TeraByte image sizes ...
carrillo, dewdney, hogbom, morozov, offringa, onose, onose, thompson, v?   +8 more
core   +2 more sources

Evolutionary dynamics of the chloroplast genome in Daphne (Thymelaeaceae): comparative analysis with related genera and insights into phylogenetics

FEBS Open Bio, EarlyView.
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah, Hui Li, Rushan Yan, Chengyu Chen, Madiha Islam, Abdul Majid, Ibrar Ahmed, Parviz Heidari, Xiaoxuan Tian   +8 more
wiley   +1 more source

Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints

Sensors, 2021
Terahertz time domain spectroscopy imaging systems suffer from the problems of long image acquisition time and massive data processing. Reducing the sampling rate will lead to the degradation of the imaging reconstruction quality.
Xiaozhen Ren, Yuying Jiang
doaj   +1 more source

Reconstructing Images from Projections Using the Maximum-Entropy Method. Numerical Simulations of Low-Aspect Astrotomography

, 2007
The reconstruction of images from a small number of projections using the maximum-entropy method (MEM) with the Shannon entropy is considered. MEM provides higher-quality image reconstruction for sources with extended components than the Hogbom CLEAN ...
A. T. Baikova, A. T. Bajkova, B. R. Frieden, B. R. Frieden, D. G. Steer, F. P. Maloney, G. Hermen, J. A. Högbom, M. I. Agafonov, M. I. Agafonov, M. I. Agafonov, M. I. Agafonov, R. Narayan, S. Hoener, T. R. Marsh, T. R. Marsh, V. I. Koshelev, Ya. I. Khurgin   +17 more
core   +1 more source

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth [PDF]

IEEE Journal on Selected Topics in Signal Processing, 2019
Regularization by denoising (RED) is an image reconstruction framework that uses an image denoiser as a prior. Recent work has shown the state-of-the-art performance of RED with learned denoisers corresponding to pre-trained convolutional neural nets ...
Jiaming Liu, Yu Sun, C. Eldeniz, Weijie Gan, H. An, U. Kamilov   +5 more
semanticscholar   +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

Compact Model Representation for 3D Reconstruction

, 2017
3D reconstruction from 2D images is a central problem in computer vision. Recent works have been focusing on reconstruction directly from a single image.
Eriksson, Anders, Fookes, Clinton, Kong, Chen, Lucey, Simon, Pontes, Jhony K., Sridharan, Sridha   +5 more
core   +2 more sources

PET Image Reconstruction Using Deep Image Prior

IEEE Transactions on Medical Imaging, 2019
Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging.
Kuang Gong, C. Catana, J. Qi, Quanzheng Li   +3 more
semanticscholar   +1 more source

A Point Set Generation Network for 3D Object Reconstruction from a Single Image [PDF]

Computer Vision and Pattern Recognition, 2016
Generation of 3D data by deep neural network has been attracting increasing attention in the research community. The majority of extant works resort to regular representations such as volumetric grids or collection of images, however, these ...
Haoqiang Fan, Hao Su, L. Guibas
semanticscholar   +1 more source