Crystals of the so-called blue bronze Tl0.30MoO3 were prepared by tempering molten mixtures. The structure was refined in the space group C2/m from 2171 reflections corrected for absorption. The R and Rw factors obtained from the last refinement cycle are 0.030 and 0.036 respectively for 114 refined parameters. The Zachariasen method enabled the 4d distribution over the three independent sites Mo1, Mo2 and Mo3 to be determined and gave 16.6 %, 39.7 % and 43.7 % respectively.For each octahedron a close correlation appears between the number of shared edges, the formal molybdenum charge and its eccentricity within the polyhedron. It is found that the molybdenum Mo1 has the highest formal charge ; this site does not seem to participate in the electrical conductivity which takes place mainly in the slabs thanks to the molybdenum sites Mo2 and Mo3 which represent 83.4 % of the electron density.Tl0.30MoO3 shows a metal-to-semiconductor transition at 185 K, probably of Peierls type. We propose that the non-linear effects and metastability phenomena observed below 180 K, in the non-ohmic regime are very likely due to the depinning of a charge density wave, as it has been found in the blue bronze K0.30MoO3相似文献
Zinc phosphate glass is considered to be the main constituent of tribofilms generated under boundary lubrication with zinc dialkyldithiophosphate (ZDDP), a well-known antiwear additive. The reaction occurring during friction between zinc phosphate glasses and steel native iron oxide layer is investigated by both an experimental approach and by Molecular Dynamics simulations (MD). The importance of this “tribochemical” reaction in the general ZDDP antiwear process is discussed. 相似文献
Mine Water and the Environment - Water inflows through fracture networks are a major economic and safety issue in underground mines. Although pre-grouting of pilot holes during mine development... 相似文献
Blood oxygenation can be measured using magnetic resonance using the paramagnetic effect of deoxy-haemoglobin, which decreases the \(\textit{T}_{2}\) relaxation time of blood. This \(\textit{T}_{2}\) contrast has been well characterised at the \(\textit{B}_{{0}}\) fields used in MRI (1.5 T and above). However, few studies have characterised this effect at lower magnetic fields. Here, the feasibility of blood oximetry at low field based on \(\textit{T}_{2}\) changes that are within a physiological relevant range is explored. This study could be used for specifying requirements for construction of a monitoring device based on low field permanent magnet systems.
Methods
A continuous flow circuit was used to control parameters such as oxygen saturation and temperature in a sample of blood. It flowed through a variable field magnet, where CPMG experiments were performed to measure its \(\textit{T}_{2}\). In addition, the oxygen saturation was monitored by an optical sensor for comparison with the \(\textit{T}_{2}\) changes.
Results
These results show that at low \(\textit{B}_{{0}}\) fields, the change in blood \(\textit{T}_{2}\) due to oxygenation is small, but still detectable. The data measured at low fields are also in agreement with theoretical models for the oxy-deoxy \(\textit{T}_{2}\) effect.
Conclusion
\(\textit{T}_{2}\) changes in blood due to oxygenation were observed at fields as low as 0.1 T. These results suggest that low field NMR relaxometry devices around 0.3 T could be designed to detect changes in blood oxygenation.
Within the human computation paradigm, gamification is increasingly gaining interest. This is because an enjoyable experience generated by game features can be a powerful approach to attract participants. Although potentially useful, little research has been conducted into understanding the effectiveness of gamification in human computation. In this experimental study, we operationalized effectiveness as perceived engagement and user acceptance and examined it by comparing the performance of a gamified human computation system against a non-gamified version. We also investigate the determinants of acceptance and how their effects differ between these two systems. Analysis of our data found that participants experienced more engagement and showed higher behavioral intentions toward the gamified system. Moreover, perceived output quality and perceived engagement were significant determinants of acceptance of the gamified system. In contrast, determinants for acceptance of the non-gamified system were perceived output quality and perceived usability. 相似文献
This paper deals with multimedia information access. We propose two new approaches for hybrid text-image information processing
that can be straightforwardly generalized to the more general multimodal scenario. Both approaches fall in the trans-media
pseudo-relevance feedback category. Our first method proposes using a mixture model of the aggregate components, considering
them as a single relevance concept. In our second approach, we define trans-media similarities as an aggregation of monomodal
similarities between the elements of the aggregate and the new multimodal object. We also introduce the monomodal similarity
measures for text and images that serve as basic components for both proposed trans-media similarities. We show how one can
frame a large variety of problem in order to address them with the proposed techniques: image annotation or captioning, text
illustration and multimedia retrieval and clustering. Finally, we present how these methods can be integrated in two applications:
a travel blog assistant system and a tool for browsing the Wikipedia taking into account the multimedia nature of its content.
Gabriela CsurkaEmail:
Dr. Julien Ah-Pine
joined the XRCE Grenoble as Research Engineer in 2007. He is part of the Textual and Visual Pattern Analysis group and his
current research activities are related to multi-modal information retrieval and machine learning. He received his PhD degree
in mathematics from Pierre and Marie Curie University (University of Paris 6). From 2003 to 2007, he was with Thales Communications,
working on relational analysis, data and text mining methods and social choice theory.
Dr. Marco Bressan
is Area Manager of the Textual and Visual Pattern Analysis area at Xerox Research Centre Europe. His main research interests
are statistical learning and classification; image and video semantic scene understanding; image enhancement and aesthetics;
object detection and recognition, particularly when dealing with uncontrolled environments. Prior to Xerox, several of his
contributions in these fields were applied to a variety of scenarios including biometric solutions, data mining, CBIR and
industrial vision. Dr. Bressan holds a BA in Applied Mathematics from the University of Buenos Aires, a M.Sc. in Computer
Vision from the Computer Vision Centre in Spain and a Ph.D. in Computer Science and Artificial Intelligence from the Autonomous
University of Barcelona. He is an active member of the network of Argentinean researchers abroad and one of the founders of
the network of computer vision and cognitive science researchers.
Stephane Clinchant
is Ph.D. Student at University Joseph Fourier (Grenoble, France) and at the Xerox Research Centre Europe, that he joined in
2005. Before joining XRCE, Stephane obtained a Master Degree in Computer Sciences in 2005 from the Ecole Nationale Superieure
d’Electrotechnique, d’Informatique, d’Hydraulique et des Telecommunications (France). His current research interests mainly
focus on Machine Learning for Natural Language Processing and Multimedia Information Access.
Dr. Gabriela Csurka
is a research scientist in the Textual and Visual Pattern Analysis team at Xerox Research Centre Europe (XRCE). She obtained
her Ph.D. degree (1996) in Computer Science from University of Nice Sophia - Antipolis. Before joining XRCE in 2002, she worked
in fields such as stereo vision and projective reconstruction at INRIA (Sophia Antipolis, Rhone Alpes and IRISA) and image
and video watermarking at University of Geneva and Institute Eurécom, Sophia Antipolis. Author of several publications in
main journals and international conferences, she is also an active reviewer both for journals and conferences. Her current
research interest concerns the exploration of new technologies for image content and aesthetic analysis, cross-modal image
categorization and semantic based image segmentation.
Yves Hoppenot
is in charge of the development and integration of new technologies in our European research Technology Showroom. He is a
software expert for the production, office and services sectors. Yves joined the Xerox Research Centre Europe in 2001. He
graduated from the Ecole National Superieure des Telecommunications, Brest in France, and received a Master of Science degree
from the Tampere University of Technology in Finland.
Dr. Jean-Michel Renders
joined the XRCE Grenoble as Research Engineer in 2001. His current research interests mainly focus on Machine Learning techniques
applied to Statistical Natural Language Processing and Text Mining. Before joining XRCE, Jean-Michel obtained a PhD in Applied
Sciences from the University of Brussels in 1993. He started his research activities in 1988, in the field of Robotics Dynamics
and Control. Then, he joined the Joint Research Center of the European Communities to work on biologial metaphors (Genetic
Algorithms, Neural Networks and Immune Networks) applied to process control. After spending one year as Visiting Scientist
at York University (England), he spent 4 years applying Artificial Intelligence and Machine Learning Techniques in Industry
(Tractebel - Suez). Then, he worked as Data Mining Senior Consultant and led projects in most major Belgian banks and utilities.
相似文献
We present a suite of programs to determine the ground state of the time-independent Gross-Pitaevskii equation, used in the simulation of Bose-Einstein condensates. The calculation is based on the Optimal Damping Algorithm, ensuring a fast convergence to the true ground state. Versions are given for the one-, two-, and three-dimensional equation, using either a spectral method, well suited for harmonic trapping potentials, or a spatial grid.
Program summary
Program title: GPODACatalogue identifier: ADZN_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADZN_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 5339No. of bytes in distributed program, including test data, etc.: 19 426Distribution format: tar.gzProgramming language: Fortran 90Computer: ANY (Compilers under which the program has been tested: Absoft Pro Fortran, The Portland Group Fortran 90/95 compiler, Intel Fortran Compiler)RAM: From <1 MB in 1D to ∼102 MB for a large 3D gridClassification: 2.7, 4.9External routines: LAPACK, BLAS, DFFTPACKNature of problem: The order parameter (or wave function) of a Bose-Einstein condensate (BEC) is obtained, in a mean field approximation, by the Gross-Pitaevskii equation (GPE) [F. Dalfovo, S. Giorgini, L.P. Pitaevskii, S. Stringari, Rev. Mod. Phys. 71 (1999) 463]. The GPE is a nonlinear Schrödinger-like equation, including here a confining potential. The stationary state of a BEC is obtained by finding the ground state of the time-independent GPE, i.e., the order parameter that minimizes the energy. In addition to the standard three-dimensional GPE, tight traps can lead to effective two- or even one-dimensional BECs, so the 2D and 1D GPEs are also considered.Solution method: The ground state of the time-independent of the GPE is calculated using the Optimal Damping Algorithm [E. Cancès, C. Le Bris, Int. J. Quantum Chem. 79 (2000) 82]. Two sets of programs are given, using either a spectral representation of the order parameter [C.M. Dion, E. Cancès, Phys. Rev. E 67 (2003) 046706], suitable for a (quasi) harmonic trapping potential, or by discretizing the order parameter on a spatial grid.Running time: From seconds in 1D to a few hours for large 3D grids 相似文献
A class of uncertain time-delay systems containing a saturating actuator is considered. These systems are characterized by delayed state equations (including a saturating actuator) with norm-bounded parameter uncertainty (possibly time varying) in the state and input matrices. The delay is assumed to be constant bounded but unknown. Using a Razumikhin approach for the stability of functional differential equations, upper bounds on the time delay are given such that the considered uncertain system is robustly stabilizable, in the case of constrained input, via memoryless state feedback control laws. These bounds are given in terms of solutions of appropriate finite dimensional Riccati equations 相似文献