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pro vyhledávání: '"Xuyen Pham"'
Exploring methods and techniques of machine learning (ML) to address specific challenges in various fields is essential. In this work, we tackle a problem in the domain of Cheminformatics; that is, providing a suitable solution to aid in predicting t
Externí odkaz:
http://arxiv.org/abs/2401.01004
Autor:
Divitha Seetharamdoo, Rafik Addaci, Kun Yang, Christian Chagny, Vy Xuyen Pham, Marion Berbineau, Jean-Pierre Ghys
Publikováno v:
2017 11th European Conference on Antennas and Propagation (EUCAP).
In tne context of a growing interest in tne use of millimetre wave frequencies for railway applications, we propose to analyse the influence of this environment on antenna performances. The railway environment being quite harsh with the presence of l
Publikováno v:
Innovative Food Science & Emerging Technologies. 6:21-28
The role played by water activity (aw), “mobility” (“molecular” by Nuclear Magnetic Resonance (NMR) analysis and “macromolecular”, by glassy to rubbery transition, thermal analysis) and physico-chemical properties of the media in modulati
Publikováno v:
Journal of Agricultural and Food Chemistry. 51:1647-1652
Molecular mobility of water was studied in a microbiological media containing complex and heterogeneous mixtures of cellulose, l-sorbose, and orange serum broth (OSB) using 2H and 17O high-resolution NMR. All mixtures showed Lorentian 17O NMR spectra
Publikováno v:
Journal of agricultural and food chemistry. 47(12)
A sugar transport defected strain of Aspergillus nidulans (biA-1 sorA-2) was tested for spore germination in nutrient media containing various water activity (a(w)) values and varying amounts of non-nutritive, nontoxic carbohydrates (L-sorbose and ce