Zobrazeno 1 - 10
of 6 603
pro vyhledávání: '"Malick A"'
Autor:
Jasmina Saric, Ann Aerts, Malick Anne, Joseph Barboza, Johannes Boch, Naranjargal Dashdorj, Diana Vaca McGhie, Adela Santana, Jason T. Shellaby, Suely Miya Shiraishi Rollemberg, Mariana Silveira, Peter Steinmann, Daniel Cobos
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background The urban population health initiative was designed as a multidisciplinary, multisector programme to address cardiovascular (CV) disease, specifically hypertension and its underlying causes in the cities of Ulaanbaatar, Mongolia;
Externí odkaz:
https://doaj.org/article/bde1734bb6134b1e8b99220bbf61cf50
Autor:
Oumar Bassoum, Ndeye Mareme Sougou, Mouhamadou Faly Ba, Malick Anne, Mamoudou Bocoum, Alioune Dieye, Cheikh Sokhna, Anta Tal-Dia
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background In Senegal, studies focusing specifically on vaccination coverage with the Bacille de Calmette et Guérin (BCG) vaccine, the birth dose of oral polio vaccine (OPV zero dose) and the birth dose of hepatitis B (HepB-BD) vaccine are
Externí odkaz:
https://doaj.org/article/3ea23ba992514dfd98e8df6f42b76f15
Autor:
Theresa Reiker, Sarah Des Rosiers, Johannes Boch, Gautam Partha, Lakshmi Venkitachalam, Adela Santana, Abhinav Srivasatava, Joseph Barboza, Enkhtuya Byambasuren, Yara C. Baxter, Karina Mauro Dib, Naranjargal Dashdorj, Malick Anne, Renato W. de Oliveira, Mariana Silveira, Jose M. E. Ferrer, Louise Morgan, Olivia Jones, Tumurbaatar Luvsansambuu, Luiz Aparecido Bortolotto, Luciano Drager, Alvaro Avezum, Ann Aerts
Publikováno v:
PLOS Global Public Health, Vol 3, Iss 4 (2023)
Cardiovascular disease (CVD) is the leading cause of mortality worldwide, with 80% of that mortality occurring in low- and middle-income countries. Hypertension, its primary risk factor, can be effectively addressed through multisectoral, multi-inter
Externí odkaz:
https://doaj.org/article/0ee7d9ed16b149e1a2aff08724da9272
Autor:
Rella Zoleko-Manego, Dearie G Okwu, Christian Handrich, Lia B Dimessa-Mbadinga, Malick A Akinosho, Wilfrid F Ndzebe-Ndoumba, Saskia D Davi, Daniel Stelzl, Luzia Veletzky, Andrea Kreidenweiss, Tamara Nordmann, Ayola A Adegnika, Bertrand Lell, Peter G Kremsner, Michael Ramharter, Ghyslain Mombo-Ngoma
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 16, Iss 10, p e0010899 (2022)
BackgroundUrogenital schistosomiasis is prevalent in many malaria endemic regions of sub-Saharan Africa and can lead to long-term health consequences if untreated. Antimalarial drugs used to treat uncomplicated malaria have shown to exert some activi
Externí odkaz:
https://doaj.org/article/bdbd6724b22445ba83ae7f4e7ff50d59
In this paper, we propose a novel data valuation method for a Dataset Retrieval (DR) use case in Ireland's National mapping agency. To the best of our knowledge, data valuation has not yet been applied to Dataset Retrieval. By leveraging metadata and
Externí odkaz:
http://arxiv.org/abs/2407.15546
We present the results of a thorough investigation of the physical properties of EuAg$_4$Sb$_2$ single crystals using magnetization, heat capacity, and electrical resistivity measurements. High-quality single crystals, which crystallize in a trigonal
Externí odkaz:
http://arxiv.org/abs/2406.18252
In this paper, we examine the long-run distribution of stochastic gradient descent (SGD) in general, non-convex problems. Specifically, we seek to understand which regions of the problem's state space are more likely to be visited by SGD, and by how
Externí odkaz:
http://arxiv.org/abs/2406.09241
Publikováno v:
Optimization Methods and Software, 2024, pp.1-17. \&\#x27E8;10.1080/10556788.2023.2278089\&\#x27E9
Many problems in machine learning write as the minimization of a sum of individual loss functions over the training examples. These functions are usually differentiable but, in some cases, their gradients are not Lipschitz continuous, which compromis
Externí odkaz:
http://arxiv.org/abs/2404.17190
Autor:
Le, Tam, Malick, Jérôme
Distributionally robust optimization has emerged as an attractive way to train robust machine learning models, capturing data uncertainty and distribution shifts. Recent statistical analyses have proved that robust models built from Wasserstein ambig
Externí odkaz:
http://arxiv.org/abs/2402.11981
Publikováno v:
Phys. Rev. B 108, 024428 (2023)
We investigate the physical properties of high-quality single crystals CeGaGe and PrGaGe using magnetization, heat capacity, and magnetotransport measurements. Gallium-indium binary flux was used to grow these single crystals that crystallize in a bo
Externí odkaz:
http://arxiv.org/abs/2401.15907