Low-field magnetoresistance in La0.7Ca0.3MnO3 manganite compounds prepared by the spray drying technique

peer reviewedCalcium-substituted lanthanum manganite compounds were synthesized by the spray drying technique. This method - whose main advantages are versatility, high reproducibility and scalability - yields small grain materials of high homogeneity and displaying low-field magnetoresistance effects. We report about the physical and chemical characterizations of these samples in order to investigate the potential interest of spray drying for the production of materials for low-field magnetoresistance applications. We have studied the dependence of the low-field magnetoresistance on the temperature and duration of the thermal treatment applied to the pelletized powders. The issue of the shape anisotropy (demagnetisation effects) influence on the magnetoresistance properties has also been dealt with. (C) 2005 Springer Science + Business Media, Inc

Industry-scale application and evaluation of deep learning for drug target prediction

Artificial intelligence (AI) is undergoing a revolution thanks to the breakthroughs of machine learning algorithms in computer vision, speech recognition, natural language processing and generative modelling. Recent works on publicly available pharmaceutical data showed that AI methods are highly promising for Drug Target prediction. However, the quality of public data might be different than that of industry data due to different labs reporting measurements, different measurement techniques, fewer samples and less diverse and specialized assays. As part of a European funded project (ExCAPE), that brought together expertise from pharmaceutical industry, machine learning, and high-performance computing, we investigated how well machine learning models obtained from public data can be transferred to internal pharmaceutical industry data. Our results show that machine learning models trained on public data can indeed maintain their predictive power to a large degree when applied to industry data. Moreover, we observed that deep learning derived machine learning models outperformed comparable models, which were trained by other machine learning algorithms, when applied to internal pharmaceutical company datasets. To our knowledge, this is the first large-scale study evaluating the potential of machine learning and especially deep learning directly at the level of industry-scale settings and moreover investigating the transferability of publicly learned target prediction models towards industrial bioactivity prediction pipelines.Web of Science121art. no. 2

Personal Papers (MS 80-0002)

Letter from Daniel W. Kempner to F. L. Vandriessche thanking for the calendar and wishes a Happy New year

Formation diplomante en métrologie des salles propres

L’utilisation des salles propres pour fabriquer des produits ou intervenir sur des patients estencadrée par les normes EN ISO 14644 et 14698. Cette technologie laisse une place importante à la métrologie,moyen essentiel pour s’assurer que l’installation et tous ses composants fonctionnent correctement.En France, l’ASPEC est l’Association nationale qui regroupe les personnes intéressées par ces salles. Membrede l’ICCCS (International Confederation of Contamination Control Societies) et de sa filiale l’ICEB (International Cleanroom Education Board) dont l’objectif à terme est d’avoir les mêmes programmes de formationdans tous les pays, l’ASPEC a mis en place une formation diplômante en métrologie des salles propres. Cellecipermet de former des intervenants capables de faire un examen métrologique de ces salles depuis le cahierdes charges jusqu’au compte-rendu final. 9 paramètres parmi les 14 recensés dans l’EN ISO 14644-3 y sontétudiés

An Automatic Monitoring-system for Epithelial-cell Height

This paper describes an automatic method to measure cell height (h) of epithelia grown as monolayers on transparent filter supports. Tissues are mounted in an Ussing-type chamber enabling solution exchange on both sides. The apical and basal side of the epithelial cells are marked with fluorescent beads. The image of the fluospheres is captured with a video camera and processed by a computer-based video imaging system. One basal reference bead in a gelatin layer on the filter support and up to three beads attached at the apical surface are used to monitor changes in cell height of three cells simultaneously. The focusing of the microbeads is done automatically by moving the objective with a piezoelectric device mounted on the nosepiece of the microscope. The algorithm fnr locating the bead is based on the changes in fluorescent light intensity emitted by the fluospheres. The method has an accuracy higher than 0.1 mu m and a time resolution as low as 6 s if measurements are restricted to one bead at the apical side. The method was tested on artificial model systems and used to measure volume changes in renal cultured epithelia (A6) after exposing the serosal surface to hypotonic solutions and replacing cell-impermeable sucrose by an organic compound (glycerol) with a smaller reflection coefficient. Serosal hypotonicity elicited a rapid volume increase followed by regulatory volume decrease, whereas the organic compound replacement caused a steady increase in cell volume