Results 31 to 40 of about 2,631,129 (272)

On the Interpretation of the Aharonov-Bohm Effect [PDF]

open access: yesarXiv, 2021
The Aharonov-Bohm (A-B) effect showed that the phase of electron wave pattern could be changed by the excluded electromagnetic field, the region where electromagnetic field is zero. This apparent non-local effect has been explained by mainly two salient interpretations called "the interpretation of electromagnetic potentials" and "the interpretation of
arxiv  

The importance of a comprehensive method in the teaching of literary translation [PDF]

open access: yesStudies in Linguistics, Culture, and FLT, 2016
The emergence of translation studies as an independent discipline contributed to the development of the pedagogy of translation included in a number of higher education programmes.
N. Berrin Aksoy
doaj   +1 more source

Grammars for placeholders: The dynamic turn

open access: yesGlossa, 2023
In verbal communication, when a speaker encounters a word-formulation problem (e.g. memory lapse), she may resort to several linguistic strategies, including the use of a placeholder (PH).
Tohru Seraku
doaj   +2 more sources

Unary interpretability logics for sublogics of the interpretability logic $\mathbf{IL}$ [PDF]

open access: yesarXiv, 2022
De Rijke introduced a unary interpretability logic $\mathbf{il}$, and proved that $\mathbf{il}$ is the unary counterpart of the binary interpretability logic $\mathbf{IL}$. In this paper, we find the unary counterparts of the sublogics of $\mathbf{IL}$.
arxiv  

Burial and Heat Flux Modelling along a Southern Vøring Basin Transect: Implications for the Petroleum Systems and Thermal Regimes in the Deep Mid-Norwegian Sea

open access: yesGeosciences, 2021
A key aspect on the evolution of rifted terranes and the prospectivity of the overlying sedimentary basins is heat. Temperature determines the deformation regime of crustal and mantle rocks and, thus, the style of rifting and geometry of rift basins. The
Tiago Abreu Cunha   +3 more
doaj   +1 more source

The visible subtitler: Blockchain technology towards right management and minting [version 1; peer review: 2 approved]

open access: yesOpen Research Europe, 2023
Background: Subtitles are produced through different workflows and technologies: from fully automatic to human in open source web editors or in-house platforms, and increasingly through hybrid human-machine interaction.
Pilar Orero   +2 more
doaj  

A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care

open access: yesImplementation Research and Practice, 2023
Background Evidence-based parenting programs effectively prevent the onset and escalation of child and adolescent behavioral health problems. When programs have been taken to scale, declines in the quality of implementation diminish intervention effects.
Cady Berkel   +8 more
doaj   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Diphthamide synthesis is linked to the eEF2‐client chaperone machinery

open access: yesFEBS Letters, EarlyView.
The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr   +4 more
wiley   +1 more source

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond [PDF]

open access: yesarXiv, 2021
Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-box nature, it is often difficult to understand the prediction results of deep models.
arxiv  

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