Academic literature on the topic 'Cafenele'

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Journal articles on the topic "Cafenele"

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Popoveniuc, Bogdan. "Book review on "Cafenele filosofice LUMEN", volume 1, edited by Antonio SANDU & Bogdan POPOVENIUC, LUMEN Publishing, 2023." Logos Universality Mentality Education Novelty: Philosophy & Humanistic Sciences 10, no. 2 (2022): 69–72. http://dx.doi.org/10.18662/lumenphs/10.2/69.

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The philosophical cafés were formally established for the first time by Marc Sautet as a technique for facilitating philosophical dialogue. The theoretical foundation of this model is based on the Habermasian theory of communicative action and the conviction that the literary and philosophical cafes, seen as spaces of public debate, form the genuine genesis of the public sphere. The founder of philosophical cafés as a practice of philosophizing opened the first philosophical cafe in Paris in 1992. The concept became soon internationally widespread. After having been initiated in France, it qui
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Ena, Maria Yalinta, Antonio E. L. Nyoko, and Wehelmina M. Ndoen. "PENGARUH PERSEPSI HARGA, KUALITAS PELAYANAN, LOKASI DAN WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN DI CHEZZ CAFENET." Journal of Management : Small and Medium Enterprises (SMEs) 10, no. 3 (2020): 299–310. http://dx.doi.org/10.35508/jom.v10i3.1998.

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This study aims to determine: (1) the influence of price perception on purchasing decisions (2) the influence of service quality on purchasing decision (3) the influence of location on purchasing decision (4) the influence of word of mouth on purchasing decision and (5) the influence of Price Perception, Service Quality, Location, Word of Mouth to purchase decision on customers CafeNet. This study uses a quantitative method approach. The population in this study are consumers who have made purchases in CafeNet-Central Kupang. The sampling technique is probability sampling with the number of sa
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Ji, Zhanlin, Xiaoyu Li, Zhiwu Wang, et al. "CafeNet: A Novel Multi‐Scale Context Aggregation and Multi‐Level Foreground Enhancement Network for Polyp Segmentation." International Journal of Imaging Systems and Technology 34, no. 5 (2024). http://dx.doi.org/10.1002/ima.23183.

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ABSTRACTThe detection of polyps plays a significant role in colonoscopy examinations, cancer diagnosis, and early patient treatment. However, due to the diversity in the size, color, and shape of polyps, as well as the presence of low image contrast with the surrounding mucosa and fuzzy boundaries, precise polyp segmentation remains a challenging task. Furthermore, this task requires excellent real‐time performance to promptly and efficiently present predictive results to doctors during colonoscopy examinations. To address these challenges, a novel neural network, called CafeNet, is proposed i
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Books on the topic "Cafenele"

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Filitti, Georgeta, writer of forword, ed. Prin cafenelele din Micul Paris. Corint Books, 2020.

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Totul despre cafea - Cultivare, preparare, reţete, aspecte culturale. MultiMedia Publishing, 2015.

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Book chapters on the topic "Cafenele"

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de Oliveira, Bianca, Giovana Zanuzo Marcon, Julia Eduarda Härter, Leticia Gomes Floriano, Marli Simionato Possebon, and Aline Machado Zancanaro. "A RELAÇÃO ENTRE A QUÍMICA E A FOTOGRAFIA." In Prática Profissional Integrada de Química - Volume 1. Seven Editora, 2024. http://dx.doi.org/10.56238/livrosindi202428-001.

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Este capítulo aborda a revelação fotográfica enquanto tema gerador, que aprimorou não somente a fotografia, mas a física, a arte e também a química por si própria. Tem como objetivo resgatar processos obsoletos da fotografia. Deste modo, promoveu-se a produção de um papel fotossensível a fim de utilizá-lo em uma câmera Pinhole, que, posteriormente, foi revelado com o uso do método de Cafenol. Obteve-se sucesso na confecção do papel fotossensível e da câmera Pinhole, porém o método de revelação executado não obteve o comportamento esperado. No entanto, foi alcançado o objetivo do estudo e análi
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Conference papers on the topic "Cafenele"

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Park, YoungHyun, Jun Seo, and Jaekyun Moon. "CAFENet: Class-Agnostic Few-Shot Edge Detection Network." In British Machine Vision Conference 2021. British Machine Vision Association, 2021. https://doi.org/10.5244/c.35.191.

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