Sign Up to like & get
recommendations!
0
Published in 2017 at "Parasitology Research"
DOI: 10.1007/s00436-017-5715-4
Abstract: Its integrated energetic and metabolic signaling roles place the phosphoryl transfer network, through the enzymes creatine kinase (CK), adenylate kinase (AK), and pyruvate kinase (PK), as a regulatory system coordinating components of the cellular bioenergetics…
read more here.
Keywords:
network;
phosphoryl transfer;
transfer network;
naturally infected ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-020-09528-z
Abstract: Resource endowment and economic development of different provinces in China vary greatly, resulting in large amount of CO 2 transfers. We need further exploration to help decision makers allocate emission responsibilities reasonably. We construct China’s…
read more here.
Keywords:
2012 perspective;
china embodied;
transfer network;
provinces sectors ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Aquaculture"
DOI: 10.1016/j.aquaculture.2018.12.024
Abstract: Abstract Hypoxia is a critical issue in aquaculture of marine or freshwater fishes especially in intensive aquaculture systems, contributing to severe economic losses for fish producers. Some evidence has suggested the involvement of phosphoryl transfer…
read more here.
Keywords:
hypoxia;
phosphoryl transfer;
transfer network;
nile tilapia ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3135616
Abstract: As for some machineries in real industrial applications, it is difficult to obtain massive labeled data. Therefore, transfer learning is introduced to apply the knowledge learned from labeled datasets on the unlabeled data for the…
read more here.
Keywords:
transfer network;
partial transfer;
multisource partial;
domain ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3240195
Abstract: Deep learning-based models have been shown to outperform human beings in many computer vision tasks with massive available labeled training data in learning. However, humans have an amazing ability to easily recognize images of novel…
read more here.
Keywords:
network;
transfer network;
guided semantic;
knowledge guided ... See more keywords