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Where styles collide: the Western Carpathians in the Early Iron Age in the light of pottery analysis
Published 2024-12-01Get full text
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364
Léo Malet ou le roman noir américain made in France
Published 2022-12-01“…Though he owes his fame to the character of Nestor Burma that he invented in 1943, his previous production, which served as a testing ground to develop his Parisian version of noir fiction, is not as well-known. …”
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365
Capturing the moment: facilitating learning from the margins. A photographic essay
Published 2025-01-01Get full text
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366
TROIS POÈMES DE STÉPHANE MALLARMÉ: A DEBUSSY-RAVEL COMPARISON
Published 2013-06-01“…Thus, the quasi-independent vocal line, with a pronounced recitative character is carried by an almost autonomous musical accompaniment, which oscillates between figurative and expressive states. …”
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367
GENDER AND RELIGIOUS IDENTITY: INTERSECTING AXES OF DISCRIMINATION IN THE BREADWINNER ANIMATED MOVIE (2017)
Published 2022-10-01Get full text
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Calculating the average distance between horizontal projection peaks
Published 2019-12-01Get full text
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370
RIZHOME AND BAROCCO AS CULTURAL-ONTOLOGICAL FOUNDATION OF PHENOMENON OF INNOVATION
Published 2015-05-01Get full text
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Mendel: corroboration of the idea of binary trait coding by methods of statistical physics
Published 2015-07-01Get full text
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PSYCHOPATHIC PERSONALITY DISORDER IN LARSSON’S “THE GIRL WITH THE DRAGON TATTOO”
Published 2020-10-01Get full text
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THE CONCEPT OF THE NATIONAL HERO «QUONAKH» IN PAINTING AND GRAPHICS DURING THE CHECHEN CRISIS (90S OF THE TWENTIETH CENTURY)
Published 2023-12-01“…The methodology is based on art criticism, comparative and system-constructive analysis. …”
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Manajemen kepala Madrasah Ibtidaiyah dalam menumbuhkan pendidikan karakter religius pada era digital
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Desdemona’s changing voices: from the “Willow Song” to the “Canzona del Salice”
Published 2013-06-01Get full text
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Attention-based interactive multi-level feature fusion for named entity recognition
Published 2025-01-01“…First, we generate the original word- and character-level embeddings in the input layer. Then, we incorporate four parallel components to capture global word-level, local word-level, global character-level, and local character-level features in the feature extraction layer to enrich word embeddings with comprehensive multi-level semantic features. …”
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