Results 71 to 80 of about 156,643 (272)

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

Fashion Image Retrieval with Capsule Networks [PDF]

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two different feature extraction methods. In our design, Stacked-convolutional (SC) and Residual-connected (RC) blocks are used to form the
Kınlı, Osman Furkan, Özcan, Barış, Kıraç, Mustafa Furkan   +2 more
openaire   +3 more sources

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

FEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp, Eszter Kozák, Natália Tőkési, Lilian Kocsis, Anikó Kelemen, Zsuzsanna Geszti, Adriána Kutás, Mariann Harangi, Ágnes Diószegi, Zsolt Rapi, József Balla, Olivier Le Saux, András Váradi, Viola Pomozi   +13 more
wiley   +1 more source

Galaxy morphology prediction using Capsule Networks [PDF]

Monthly Notices of the Royal Astronomical Society, 2019
Abstract Understanding morphological types of galaxies is a key parameter for studying their formation and evolution. Neural networks that have been used previously for galaxy morphology classification have some disadvantages, such as not being inherently invariant under rotation.
Razvan Bunescu, Ryan Chornock, Yadi Zhou, Reza Katebi   +3 more
openaire   +2 more sources

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source

CapsProm: a capsule network for promoter prediction

Computers in Biology and Medicine, 2022
Locating the promoter region in DNA sequences is of paramount importance in the field of bioinformatics. This is a problem widely studied in the literature, however, not yet fully resolved. Some researchers have presented remarkable results using convolution networks, that allowed the automatic extraction of features from a DNA chain.
Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira   +3 more
openaire   +3 more sources

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

Off-plane motion of an oblate capsule in a simple shear flow [PDF]

, 2014
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the ...
4th Micro and Nano Flows Conference (MNF2014), Barthes-Biesel, D, Dupont, C, Salsac, AV   +3 more
core  

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

DeepCaps: Going Deeper With Capsule Networks [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data. Drawing intuition from the success achieved by Convolutional Neural Networks (CNNs) by going deeper, we introduce DeepCaps1, a deep capsule network ...
Rajasegaran, Jathushan, Jayasundara, Vinoj, Jayasekara, Sandaru, Jayasekara, Hirunima, Seneviratne, Suranga, Rodrigo, Ranga   +5 more
openaire   +2 more sources