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Akademický článek

CLEAR Thrombectomy Score: An Index to Estimate the Probability of Good Functional Outcome With or Without Endovascular Treatment in the Late Window for Anterior Circulation Occlusion

Autor: James E. Siegler, Manisha Koneru, Muhammad M. Qureshi, Mohamed Doheim, Raul G. Nogueira, Nicolas Martinez‐Majander, Simon Nagel, Mary Penckofer, Jelle Demeestere, Volker Puetz, Marc Ribo, Mohamad Abdalkader, João Pedro Marto, Alhamza R. Al‐Bayati, Hiroshi Yamagami, Diogo C. Haussen, Marta Olive‐Gadea, Simon Winzer, Mahmoud H. Mohammaden, Robin Lemmens, Kanta Tanaka, Pekka Virtanen, Anne Dusart, Flavio Bellante, Daniel P. O. Kaiser, Francois Caparros, Hilde Henon, João Nuno Ramos, Santiago Ortega‐Gutierrez, Sunil A. Sheth, Stefania Nannoni, Lieselotte Vandewalle, Johannes Kaesmacher, Sergio Salazar‐Marioni, Liisa Tomppo, Rita Ventura, Syed F. Zaidi, Mouhammad Jumaa, Alicia C. Castonguay, Milagros Galecio‐Castillo, Ajit S. Puri, Adnan Mujanovic, Piers Klein, Liqi Shu, Behzad Farzin, Hannah Moomey, Hesham E. Masoud, Jessica Jesser, Markus A. Möhlenbruch, Peter A. Ringleb, Daniel Strbian, Osama O. Zaidat, Shadi Yaghi, Davide Strambo, Patrik Michel, Daniel Roy, Shinichi Yoshimura, Kazutaka Uchida, Jean Raymond, Thanh N. Nguyen

Publikováno v: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 14 (2024)

Background With the expanding eligibility for endovascular therapy (EVT) of patients presenting in the late window (6–24 hours after last known well), we aimed to derive a score to predict favorable outcomes associated with EVT versus best medical

Externí odkaz: https://doaj.org/article/5e0d327e375c42aeb2d287c7ec972de0

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Balancing Biases and Preserving Privacy on Balanced Faces in the Wild

Autor: Robinson, Joseph P, Qin, Can, Henon, Yann, Timoner, Samson, Fu, Yun

There are demographic biases present in current facial recognition (FR) models. To measure these biases across different ethnic and gender subgroups, we introduce our Balanced Faces in the Wild (BFW) dataset. This dataset allows for the characterizat

Externí odkaz: http://arxiv.org/abs/2103.09118

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Akademický článek

How do Syrah winemakers from two different French regions conceptualise peppery wines?

Autor: Olivier GEFFROY, Tracey Siebert, Emilie Guyot, Florence Gazagnadou, Aude Henon, Thomas Baerenzung dit Baron, Marie Denat, Christian Chervin, Markus Herderich, Eleanor Bilogrevic, María Pilar Sáenz-Navajas

Publikováno v: OENO One, Vol 58, Iss 1 (2024)

This work investigated Syrah producers' conceptualisation of peppery wines from two different wine regions. For the study, a long-term memory approach was used; in addition, the effects of the region of origin, as well as the sensitivity of the parti

Externí odkaz: https://doaj.org/article/b2da90a0b0664211a189923275196ccf

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3D shape of epithelial cells on curved substrates

Autor: Harmand, Nicolas, Hénon, Sylvie

Publikováno v: Phys. Rev. X 11, 031028 (2021)

It is widely recognized that the shape of epithelial cells is determined by the tension generated by the actomyosin cortex and the adhesion of cells to the substrate and to each other. To account for these biological and structural contributions to c

Externí odkaz: http://arxiv.org/abs/2005.07589

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Face Recognition: Too Bias, or Not Too Bias?

Autor: Robinson, Joseph P, Livitz, Gennady, Henon, Yann, Qin, Can, Fu, Yun, Timoner, Samson

We reveal critical insights into problems of bias in state-of-the-art facial recognition (FR) systems using a novel Balanced Faces In the Wild (BFW) dataset: data balanced for gender and ethnic groups. We show variations in the optimal scoring thresh

Externí odkaz: http://arxiv.org/abs/2002.06483

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