Results 41 to 50 of about 1,988,212 (277)

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS 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

As novas tecnoloxías no ensino/aprendizaxe das colocacións en inglés / Using the new technologies to teach and learn collocations in English [PDF]

open access: yesCadernos de Fraseoloxía Galega, 2021
Neste artigo preséntanse unha serie de actividades para o ensino das “colocacións”, ou combinacións frecuentes de palabras, na aula de inglés como lingua estranxeira, nas que se empregan ferramentas da Lingüística de corpus e materiais dispoñibles na ...
Mario Cal Varela   +1 more
doaj  

Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework

open access: yes, 2019
Example weighting algorithm is an effective solution to the training bias problem, however, most previous typical methods are usually limited to human knowledge and require laborious tuning of hyperparameters.
Chen, Ken   +7 more
core   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Lost in the Forest

open access: yesIperstoria
Recent work on data-driven learning manifests concern for the level of complexity that the use of corpora can entail, a complexity which – it is feared – may ultimately turn learners away from corpus interfaces in favour of the more discursive and user ...
Dominic Stewart
doaj   +1 more source

Sparse Wide-Area Control of Power Systems using Data-driven Reinforcement Learning

open access: yes, 2018
In this paper we present an online wide-area oscillation damping control (WAC) design for uncertain models of power systems using ideas from reinforcement learning.
Chakrabortty, Aranya   +2 more
core   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

Data-Driven Learning and Language Pedagogy [PDF]

open access: yes, 2016
Language corpora have many uses in language study, including for learners and other users of foreign languages in an approach that has come to be known as data-driven learning (DDL). This boils down to the learner's ability to find answers to their questions by using software to access large collections of authentic texts relevant to their needs, as ...
openaire   +2 more sources

From learner corpus to data-driven learning (DDL) in EAP writing. Improving lexical usage in academic writing

open access: yesEuroAmerican Journal of Applied Linguistics and Languages, 2023
Despite considerable discussion in the literature (Flowerdew & Peacock, 2001; Hyland, 1998; Tang, 2012) competent English academic writing is still a problem which needs to be solved.
Sharon Hartle
doaj   +1 more source

A machine learning framework for data driven acceleration of computations of differential equations

open access: yes, 2018
We propose a machine learning framework to accelerate numerical computations of time-dependent ODEs and PDEs. Our method is based on recasting (generalizations of) existing numerical methods as artificial neural networks, with a set of trainable ...
Mishra, Siddhartha
core   +1 more source

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