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pro vyhledávání: '"Ševčíková A"'
Most population projection models require age-specific information on net migration totals as a key demographic component of population change. Existing methods for predicting future patterns of net migration by age have proven inadequate. The main r
Externí odkaz:
http://arxiv.org/abs/2411.09878
The link between age and migration propensity is long established, but existing models of country-level net migration ignore the effect of population age distribution on past and projected migration rates. We propose a method to estimate and forecast
Externí odkaz:
http://arxiv.org/abs/2403.05566
Autor:
Kezar, Lee, Pontecorvo, Elana, Daniels, Adele, Baer, Connor, Ferster, Ruth, Berger, Lauren, Thomason, Jesse, Sehyr, Zed Sevcikova, Caselli, Naomi
Sign language recognition and translation technologies have the potential to increase access and inclusion of deaf signing communities, but research progress is bottlenecked by a lack of representative data. We introduce a new resource for American S
Externí odkaz:
http://arxiv.org/abs/2310.00196
Autor:
Monika Vlachová, Lukáš Pečinka, Jana Gregorová, Lukáš Moráň, Tereza Růžičková, Petra Kovačovicová, Martina Almáši, Luděk Pour, Martin Štork, Roman Hájek, Tomáš Jelínek, Tereza Popková, Marek Večeřa, Josef Havel, Petr Vaňhara, Sabina Ševčíková
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Multiple myeloma (MM) is the second most prevalent hematological malignancy, characterized by infiltration of the bone marrow by malignant plasma cells. Extramedullary disease (EMD) represents a more aggressive condition involving the migrat
Externí odkaz:
https://doaj.org/article/123756e52c444a3ba9395eee02fa6b55
We use insights from research on American Sign Language (ASL) phonology to train models for isolated sign language recognition (ISLR), a step towards automatic sign language understanding. Our key insight is to explicitly recognize the role of phonol
Externí odkaz:
http://arxiv.org/abs/2302.05759
Autor:
Szabóová Renáta, Herich Robert, Levkut Martin, Karaffová Viera, Revajová Viera, Ševčíková Zuzana, Gočová Andrea, Seman Vladimír, Faixová Zita
Publikováno v:
Folia Veterinaria, Vol 68, Iss 2, Pp 72-78 (2024)
A great interest is placed on the influence of probiotic, prebiotic and synbiotic preparations on animals in accordance with the principle of One health. The small intestine mucosa represents a complex ecosystem ensuring the homeostasis of the animal
Externí odkaz:
https://doaj.org/article/68977ec8f9594744a13afc9f4eb8c7bf
Autor:
Dovilė Barcytė, Karin Jaške, Tomáš Pánek, Tatiana Yurchenko, Tereza Ševčíková, Anežka Eliášová, Marek Eliáš
Publikováno v:
Open Biology, Vol 14, Iss 10 (2024)
Complete plastid loss seems to be very rare among secondarily non-photosynthetic eukaryotes. Leukarachnion sp. PRA-24, an amoeboid colourless protist related to the photosynthetic algal class Synchromophyceae (Ochrophyta), is a candidate for such a c
Externí odkaz:
https://doaj.org/article/2b76109e66e94ba1b45efdc07c9d7a4c
Autor:
Jeroen J A Spijker, Hande Barlın, Diana Alecsandra Grad, Yang Gu, Aija Klavina, Nilufer Korkmaz Yaylagul, Gunilla Kulla, Eda Orhun, Anna Ševčíková, Brigid Unim, Cristina Maria Tofan
Publikováno v:
JMIR Research Protocols, Vol 13, p e59900 (2024)
BackgroundDigital technologies have penetrated most workplaces. However, it is unclear how such digital technologies affect the physical health of older workers. ObjectiveThis scoping review aims to examine and summarize the evidence from scientific
Externí odkaz:
https://doaj.org/article/eda05d229c83457cb82863b53f8ed66b
The bayesTFR package for R provides a set of functions to produce probabilistic projections of the total fertility rates (TFR) for all countries, and is widely used, including as part of the basis for the UN's official population projections for all
Externí odkaz:
http://arxiv.org/abs/2207.06593
Autor:
Batsuren, Khuyagbaatar, Bella, Gábor, Arora, Aryaman, Martinović, Viktor, Gorman, Kyle, Žabokrtský, Zdeněk, Ganbold, Amarsanaa, Dohnalová, Šárka, Ševčíková, Magda, Pelegrinová, Kateřina, Giunchiglia, Fausto, Cotterell, Ryan, Vylomova, Ekaterina
The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to decompose a word into a sequence of morphemes and covered most types of morphology: compounds, derivations, and inflections. Subtask 1, word-level morpheme segmentation, c
Externí odkaz:
http://arxiv.org/abs/2206.07615