Results 21 to 30 of about 6,075,366 (305)

THE PERVASIVENESS OF METAPHOR IN THE LANGUAGE OF ECONOMICS

open access: yesStudies and Scientific Researches: Economics Edition, 2015
Nowadays, metaphors can be seen in a totally new light, exceeding their primary function of being used only as ornamental tropes and becoming powerful instruments of expressiveness.
Gabriela Telibașa
doaj   +1 more source

Conceptualizing The World In The Words Of Imam Ali According to The Theory Of Conceptual Metaphor : An Investigation Of Metaphors Conceptulized Based On Comestibles

open access: yesآداب الكوفة, 2023
Metaphor is a concept that connects two distant domains or concepts and helps with the recognition of a subjective concept from an objective and tangible one.
Afarin Zare
doaj   +1 more source

Is Beauty Just Force? A Corpus-Based Metaphor Analysis

open access: yesDilbilim Araştırmaları Dergisi, 2022
It is well known that beauty is important for the conceptualization of love (Kövecses,1986). This study aims to determine how beauty is conceptualized. In particular, using a corpus consisting of 73,268 tokens, we investigate what metaphors of beauty are
Mehmet AYGÜNEŞ
doaj   +1 more source

Domain is a moving target for relational learning [PDF]

open access: yesBehavioural Processes, 2010
The domain for relational learning was manipulated by varying the training set size for pigeons that had learned the same/different (S/D) concept. Six pigeons that had learned a S/D task with pairs of pictures with a set size of 1024 picture items had their training set size reduced to 8 items.
Katz, Jeffrey S.   +2 more
openaire   +3 more sources

Conceptual metaphors in North African French-speaking news discourse about COVID-19

open access: yesIndonesian Journal of Applied Linguistics, 2022
Conceptual metaphors have received much attention in research on discourse about infectious diseases in recent years. Most studies found that conceptual metaphors of war dominate media discourse about disease. Similarly, a great deal of research has been
Hicham Lahlou, Hajar Abdul Rahim
doaj   +1 more source

Target domain definition and classification in CASP8 [PDF]

open access: yesProteins: Structure, Function, and Bioinformatics, 2009
AbstractIn order to be successful CASP experiments require experimentally determined protein structures. These structures form the basis of the experiment. Structural genomics groups have provided the vast majority of these structures in recent editions of CASP.
Michael L, Tress   +2 more
openaire   +2 more sources

Target-Guided Open-Domain Conversation [PDF]

open access: yesProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
Many real-world open-domain conversation applications have specific goals to achieve during open-ended chats, such as recommendation, psychotherapy, education, etc. We study the problem of imposing conversational goals on open-domain chat agents. In particular, we want a conversational system to chat naturally with human and proactively guide the ...
Jianheng Tang   +5 more
openaire   +3 more sources

p160/SRC/NCoA coactivators form complexes via specific interaction of their PAS-B domain with the CID/AD1 domain [PDF]

open access: yes, 2008
Transcriptional activation involves the ordered recruitment of coactivators via direct interactions between distinct binding domains and recognition motifs.
Coudevylle, N.   +12 more
core   +1 more source

CATHEDRAL: A fast and effective algorithm to predict folds and domain boundaries from multidomain protein structures [PDF]

open access: yes, 2007
We present CATHEDRAL, an iterative protocol for determining the location of previously observed protein folds in novel multidomain protein structures. CATHEDRAL builds on the features of a fast secondary-structure-based method ( using graph theory) to ...
Oliver C Redfern   +22 more
core   +2 more sources

Unsupervised Domain Adaptation for SAR Target Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Recent years have witnessed great progress in synthetic aperture radar (SAR) target detection methods based on deep learning. However, these methods generally assume the training data and test data obey the same distribution, which does not always hold ...
Yu Shi, Lan Du, Yuchen Guo
doaj   +1 more source

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