All the Flowers Kneeling, Tran, Paul

Автор: Tran Paul
Название: All the Flowers Kneeling
ISBN: 0143136844 ISBN-13(EAN): 9780143136842
Издательство: Random House (USA)
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Цена: 1655.00 р.
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Описание: "Paul Tran's debut collection of poems is indelible, this remarkable voice transforming itself as you read, eventually transforming you." --Alexander Chee, author of How to Write an Autobiographical Novel

"This powerful debut marshals narrative lyrics and stark beauty to address personal and political violence." --New York Times Book Review

A profound meditation on physical, emotional, and psychological transformation in the aftermath of imperial violence and interpersonal abuse, from a poet both "tender and unflinching" (Khadijah Queen)

Visceral and astonishing, Paul Tran's debut poetry collection All the Flowers Kneeling investigates intergenerational trauma, sexual violence, and U.S. imperialism in order to radically alter our understanding of freedom, power, and control. In poems of desire, gender, bodies, legacies, and imagined futures, Tran's poems elucidate the complex and harrowing processes of reckoning and recovery, enhanced by innovative poetic forms that mirror the nonlinear emotional and psychological experiences of trauma survivors. At once grand and intimate, commanding and deeply vulnerable, All the Flowers Kneeling revels in rediscovering and reconfiguring the self, and ultimately becomes an essential testament to the human capacity for resilience, endurance, and love.

Автор: Van Tran Tan, Pinners Elise, Truong Paul
Название: Applicazione Del Sistema Vetiver Manuale Tecnico Di Riferimento: Vetiver System Applications - Technical Reference Manual - ITALIAN Edition
ISBN: 1456382063 ISBN-13(EAN): 9781456382063
Издательство: Неизвестно
Цена: 3449.00 р.
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Автор: Lex, Elisabeth Kowald, Dominik Seitlinger, Paul Tran, Thi Ngoc Trang Felfernig, Alexander Schedl, Markus
Название: Psychology-informed recommender systems
ISBN: 168083844X ISBN-13(EAN): 9781680838442
Издательство: Mare Nostrum (Eurospan)
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Цена: 11781.00 р.
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Описание: Presents a thorough review of the state of the art of recommender systems that leverage psychological constructs and theories to model and predict user behaviour and improve the recommendation process - so-called psychology-informed recommender systems.