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Mechanisms for a dynamic many-to-many school choice problem

Autor: Amieva, Adriana, Bonifacio, Agustín, Neme, Pablo

We examine the problem of assigning teachers to public schools over time when teachers have tenured positions and can work simultaneously in multiple schools. To do this, we investigate a dynamic many-to-many school choice problem where public school

Externí odkaz: http://arxiv.org/abs/2411.07851

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Colloidoscope: Detecting Dense Colloids in 3d with Deep Learning

Autor: Kawafi, Abdelwahab, Kürten, Lars, Ortlieb, Levke, Yang, Yushi, Amieva, Abraham Mauleon, Hallett, James E., Royall, C. Patrick

Colloidoscope is a deep learning pipeline employing a 3D residual Unet architecture, designed to enhance the tracking of dense colloidal suspensions through confocal microscopy. This methodology uses a simulated training dataset that reflects a wide

Externí odkaz: http://arxiv.org/abs/2409.04603

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Akademický článek

COMMENTS: Fiscal Federalism in Mexico (Juan Amieva-Huerta and Charles Vehorn)

Autor: Ter-Minassian, Teresa

Publikováno v: Proceedings of the Annual Conference on Taxation Held under the Auspices of the National Tax Association-Tax Institute of America, 1996 Jan 01. 89, 26-27.

Externí odkaz: https://www.jstor.org/stable/42912116

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Complex flow profiles in microscopic active crystals

Autor: Mauleon-Amieva, Abraham, Liverpool, Tanniemola B., Williams, Ian, Souslov, Anton, Royall, C. Patrick

Active solids emerge from self-actuating components interacting with each other to form crystalline patterns. In equilibrium, commensurability underpins our understanding of nanoscale friction and particle-level dynamics of crystals. However, these c

Externí odkaz: http://arxiv.org/abs/2311.04288

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Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data

Autor: Amieva, J. F., Austoni, A., Brovelli, M. A., Ansalone, L., Naylor, P., Serva, F., Saux, B. Le

Publikováno v: Proceedings of the 2023 conference on Big Data from Space

Change detection (CD) methods have been applied to optical data for decades, while the use of hyperspectral data with a fine spectral resolution has been rarely explored. CD is applied in several sectors, such as environmental monitoring and disaster

Externí odkaz: http://arxiv.org/abs/2310.13627

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Akademický článek

Comparative evaluation of APRI, FIB-4, HFS, and NFS: Scoring tools for liver fibrosis in a Mexican population with MASLD

Autor: B.A. Priego-Parra, A. Triana-Romero, R. Bernal-Reyes, M.E. Icaza-Chávez, S.E. Martínez-Vázquez, M. Amieva-Balmori, A.D. Cano-Contreras, H. Vivanco-Cid, J.M. Remes-Troche

Publikováno v: Revista de Gastroenterología de México (English Edition), Vol 89, Iss 4, Pp 498-505 (2024)

Introduction and aim: Liver fibrosis is a complication of metabolic dysfunction-associated steatotic liver disease (MASLD). Given the limitations and risks of liver biopsy, examining noninvasive scoring systems that are affordable for the population

Externí odkaz: https://doaj.org/article/48839e1706814e4e8124b84577acd8a8

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Akademický článek

Clinical utility of the solid meal test during high-resolution esophageal manometry. A study in a Latin American population

Autor: K.R. García-Zermeño, J. Argüero, M. Amieva-Balmori, O. Rodríguez-Aguilera, A. Martínez-Conejo, M. Marcolongo, J.M. Remes-Troche

Publikováno v: Revista de Gastroenterología de México (English Edition), Vol 89, Iss 4, Pp 467-473 (2024)

Introduction and aims: The solid test meal (STM) is a challenge test that is done during esophageal manometry and appears to increase the diagnostic yield of the study. The aim of our analysis was to establish the normal values for STM and evaluate i

Externí odkaz: https://doaj.org/article/163e26cd312a4a769876326e9db2adb6

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