Results 41 to 50 of about 277,784 (256)
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Deep Transfer Metric Learning [PDF]
IEEE Transactions on Image Processing, 2016 Conventional metric learning methods usually assume that the training and test samples are captured in similar scenarios so that their distributions are assumed to be the same. This assumption does not hold in many real visual recognition applications, especially when samples are captured across different data sets. In this paper, we propose a new deep
Junlin Hu +3 more
openaire +2 more sources
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
Students’ perception of learning transfer: Which EAP skills transfer best?
International Journal of English for Academic PurposesEnglish for academic purposes (EAP) courses improve English academic skills, build learner confidence, and prepare students for future academic success (Zou & Jiang, 2021). To be successful post-EAP, these skills must transfer to other learning contexts (
Julie McCarroll +2 more
doaj +1 more source
Learning transfer through industrial simulator training: Petroleum industry case
Cogent Education, 2018 Efficient teamwork skills, high level of complex process knowledge and a vast set of operational abilities are essential for safe and economical operation in process industries. During the past decade, human factors have emerged as a strong research area
Tiina M. Komulainen, A. Ronny Sannerud
doaj +1 more source
Sports Teaching, Traditional Games, and Understanding in Physical Education: A Tale of Two Stories
Frontiers in Psychology, 2020 Unlike Dickens’s novel, this is not a tale of light and darkness, order and chaos, good and evil…It is, though, a story worth to be told about two standpoints about games and sports, teaching and research, physical education simply put, that have pursued
Raúl Martínez-Santos +3 more
doaj +1 more source
Transferable learning on analog hardware
Science Advances, 2023 While analog neural network (NN) accelerators promise massive energy and time savings, an important challenge is to make them robust to static fabrication error. Present-day training methods for programmable photonic interferometer circuits, a leading analog NN platform, do not produce networks that perform well in the presence of static hardware ...
Sri Krishna Vadlamani +2 more
openaire +3 more sources
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
International Journal of English for Academic Purposes, 2022 This study represents an account and analysis of an adjunct writing course designed to assist L2 English speaking teachers with the written assignments on a Trinity College London CertTESOL course.
Matthew Gordon
doaj +1 more source
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning [PDF]
, 2020 We propose a novel adaptive transfer learning framework, learning to transfer learn (L2TL), to improve performance on a target dataset by careful extraction of the related information from a source dataset. Our framework considers cooperative optimization of shared weights between models for source and target tasks, and adjusts the constituent loss ...
Zhu, Linchao +3 more
openaire +2 more sources