Zobrazeno 1 - 10
of 169
pro vyhledávání: '"S. Mos"'
Publikováno v:
Българска кардиология, Vol 30, Iss 1, Pp 77-84 (2024)
The research relevance is predefined by the need to establish the relationship and identify new markers and potential contributions to clinical practice and scientific progress. This opens up new opportunities for further development in the field of
Externí odkaz:
https://doaj.org/article/86e20cc9b4a64d86b55c623369197902
Autor:
S. L. Schaffner, W. Casazza, F. Artaud, C. Konwar, S. M. Merrill, C. Domenighetti, J. M. Schulze-Hentrich, S. Lesage, A. Brice, J. C. Corvol, S. Mostafavi, J. K. Dennis, A. Elbaz, M. S. Kobor, DIGPD Study Group
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-18 (2024)
Abstract Although sex, genetics, and exposures can individually influence risk for sporadic Parkinson’s disease (PD), the joint contributions of these factors to the epigenetic etiology of PD have not been comprehensively assessed. Here, we profile
Externí odkaz:
https://doaj.org/article/864995ac59804ea79b0784ded0973dd9
Autor:
M. Kervyn, F. Barette, S. Poppe, B. Smets, A. Syavulisembo Muhindo, J. Kambale Makundi, Y. Ngunzi Kahashi, J. Kambale Ndagana, S. Mossoux, F. Kervyn, C. Michellier
Publikováno v:
Journal of Applied Volcanology, Vol 13, Iss 1, Pp 1-22 (2024)
Abstract Assessing volcanic hazards in locations exposed to multiple central volcanoes requires to consider multiple potential eruption sources and their respective characteristics. While this is common practice in ashfall hazard assessment, this is
Externí odkaz:
https://doaj.org/article/f029e0f5db3b462a9e9cc428627415ac
Autor:
S. Mostafayi, M.R. Asghari
Publikováno v:
Majallah-i ̒Ulum-i Bāghbānī, Vol 38, Iss 2, Pp 381-392 (2024)
Introduction Apple (Malus domestica) is considered as one of the important members of the Rosaceae family and is among the most consumed fruits in the world. One of the biggest challenges for agricultural researchers is to increase the quantity and q
Externí odkaz:
https://doaj.org/article/c25c784fbbbb4f7089e118b16d79a7ac
Autor:
M. K. H. Ome, Huaxin He, A. Mukhopadhyay, E. Crowell, S. Mossman, T. Bersano, Yongping Zhang, P. Engels
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract Periodic band structures are a hallmark phenomenon of condensed matter physics. While often imposed by external potentials, periodicity can also arise through the interplay of couplings that are not necessarily spatially periodic on their ow
Externí odkaz:
https://doaj.org/article/625732c00ea3410681c808418b5dcd1b
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Analyzing seismic data in a timely manner is essential for potential eruption forecasting and early warning in volcanology. Here, we demonstrate that unsupervised machine learning methods can automatically uncover hidden details from the con
Externí odkaz:
https://doaj.org/article/c14ba144e49140b797275c049f5e7ec6
Autor:
Richard H.C. Huntwork, Kan Li, S. Munir Alam, Gillian Q. Horn, S. Moses Dennison, Georgia D. Tomaras
Publikováno v:
Gates Open Research, Vol 7 (2024)
Label-free techniques including Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) are biophysical tools widely used to collect binding kinetics data of bimolecular interactions. To efficiently analyze SPR and BLI binding kinetics data
Externí odkaz:
https://doaj.org/article/f4b13b8adadf451582e8703d9c6ff61c
Publikováno v:
European Psychiatry, Vol 67, Pp S605-S605 (2024)
Introduction Many foster children experience traumatic events that result in a wide range of disruptive behaviours, such as temper tantrums, superficially charming, no sincere remorse, and so forth. These problematic behaviours are challenging to the
Externí odkaz:
https://doaj.org/article/608c60f0097048f68771039d72ea8950
Publikováno v:
Fanāvarī-i āmūzish, Vol 18, Iss 1, Pp 19-36 (2023)
Background and Objectives: The essence of Problem-based Learning (PBL) is to find a prêt-à-porter solution to a problem, which is also known as scenario. Several features differentiate this teaching methodology from other typical approaches in lang
Externí odkaz:
https://doaj.org/article/871ebced19264f8aa7fdc3dcbb0aa5e2
Publikováno v:
Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 84-94 (2023)
Deep-learning (DL) algorithms are increasingly used for routine seismic data processing tasks, including seismic event detection and phase arrival picking. Despite many examples of the remarkable performance of existing (i.e., pre-trained) deep-learn
Externí odkaz:
https://doaj.org/article/3f9fc4f5b30441e4ae832d6b8ffd2896