413 research outputs found
Unconventional Strong Spin-Fluctuation Effects around the Critical Pressure of the Itinerant Ising-Type Ferromagnet URhAl
Resistivity measurements were performed for the itinerant Ising-type
ferromagnet URhAl at temperatures down to 40 mK under high pressure up to 7.5
GPa, using single crystals. We found that the critical pressure of the Curie
temperature exists at around ~ 5.2 GPa. Near , the -coefficient
of the Fermi-liquid resistivity term below is largely enhanced
with a maximum around 5.2-5.5 GPa. Above , the exponent of the resistivity
deviates from 2. At , it is close to , which is
expected by the theory of three-dimensional ferromagnetic spin fluctuations for
a 2nd-order quantum-critical point (QCP). However, disappears as a
1st-order phase transition, and the critical behavior of resistivity in URhAl
cannot be explained by the theory of a 2nd-order QCP. The 1st-order nature of
the phase transition is weak, and the critical behavior is still dominated by
the spin fluctuation at low temperature. With increasing pressure, the
non-Fermi-liquid behavior is observed in higher fields. Magnetic field studies
point out a ferromagnetic wing structure with a tri-critical point (TCP) at ~
4.8-4.9 GPa in URhAl. One open possibility is that the switch from the
ferromagnetic to the paramagnetic states does not occur simply but an
intermediate state arises below the TCP as suggested theoretically recently.
Quite generally, if a drastic Fermi-surface change occurs through , the
nature of the interaction itself may change and lead to the observed
unconventional behavior.Comment: 9 pages, 9 figure
Neural Signal to Violations of Abstract Rules Using Speech-Like Stimuli.
As the evidence of predictive processes playing a role in a wide variety of cognitive domains increases, the brain as a predictive machine becomes a central idea in neuroscience. In auditory processing, a considerable amount of progress has been made using variations of the Oddball design, but most of the existing work seems restricted to predictions based on physical features or conditional rules linking successive stimuli. To characterize the predictive capacity of the brain to abstract rules, we present here two experiments that use speech-like stimuli to overcome limitations and avoid common confounds. Pseudowords were presented in isolation, intermixed with infrequent deviants that contained unexpected phoneme sequences. As hypothesized, the occurrence of unexpected sequences of phonemes reliably elicited an early prediction error signal. These prediction error signals do not seemed to be modulated by attentional manipulations due to different task instructions, suggesting that the predictions are deployed even when the task at hand does not volitionally involve error detection. In contrast, the amount of syllables congruent with a standard pseudoword presented before the point of deviance exerted a strong modulation. Prediction error's amplitude doubled when two congruent syllables were presented instead of one, despite keeping local transitional probabilities constant. This suggests that auditory predictions can be built integrating information beyond the immediate past. In sum, the results presented here further contribute to the understanding of the predictive capabilities of the human auditory system when facing complex stimuli and abstract rules
CCTFv1: Computational Modeling of Cyber Team Formation Strategies
Rooted in collaborative efforts, cybersecurity spans the scope of cyber
competitions and warfare. Despite extensive research into team strategy in
sports and project management, empirical study in cyber-security is minimal.
This gap motivates this paper, which presents the Collaborative Cyber Team
Formation (CCTF) Simulation Framework. Using Agent-Based Modeling, we delve
into the dynamics of team creation and output. We focus on exposing the impact
of structural dynamics on performance while controlling other variables
carefully. Our findings highlight the importance of strategic team formations,
an aspect often overlooked in corporate cybersecurity and cyber competition
teams
Une introduction à la nature et au fonctionnement de la physique pour des élèves de seconde.
National audienceCet article propose, décrit et justifie une séquence d'enseignement de seconde ayant pour but de profiter d'une partie du programme actuel de la classe de seconde pour proposer aux élèves une première approche de la nature et du fonctionnement de laphysique, de ses objets d'étude et de ses limites. Cette démarche, conforme aux programmes en vigueur, permet aux enseignants d'initier leurs élèves à l'activité de modélisation et de mettre en évidence sa place centrale en physique ; les élèves sont capablesde la comprendre si les enseignants prennent le temps d'expliciter les choix faits lors de cette démarche de modélisation. Les auteurs donnent aussi les points de vue, souvent proches, d'élèves de seconde et d'enseignants sur ce qu'est la physique et sur ce qu'estun modèle. Comme aboutissement de ce travail, une carte conceptuelle est proposée à l'enseignant pour permettre une analyse plus fine des démarches classiques demandées aux élèves lors de leur activité en classe de physique. L'utilisation de cette carte est illustrée sur une courte partie de la séquence proposée
Spotting effect in microarray experiments
BACKGROUND: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects data obtained with Cy3/Cy5 spotted glass arrays. It yields a periodic pattern altering both signal (Cy3/Cy5 ratio) and intensity across the array. RESULTS: Using the variogram, a geostatistical tool, we characterized the observed variability, called here the spotting effect because it most probably arises during steps in the array printing procedure. CONCLUSIONS: The spotting effect is not appropriately corrected by current normalization methods, even by those addressing spatial variability. Importantly, the spotting effect may alter differential and clustering analysis
Methicillin-Resistant Staphylococcus aureus, Geneva, Switzerland, 1993–2005
Molecular characterization of methicillin-resistant Staphylococcus aureus (MRSA) strains different from those of an endemic healthcare-associated clone was conducted over 13 years in Geneva, Switzerland. We demonstrated strain diversity, including clones rarely found in Europe. Local epidemiology of community-associated MRSA is diverse and is evolving by importation and transmission of new strains
Instance nationale et multi-communauté de DIRAC pour France Grilles
DIRAC [DIRAC] [TSA-08] is a software framework for building distributed computing systems. It was primarily designed forthe needs of the LHCb [LHCb] Collaboration, and is now used by many other communities within EGI [EGI] as a primary wayof accessing grid resources. In France, dedicated instances of the service have been deployed in different locations toanswer specific needs. Building upon this existing expertise, France Grilles [FG] initiated last year a project to deploy anational, multi-community instance in order to share expertise and provide a consistent high-quality service. After describingDIRAC main aims and functionalities, this paper presents the motivations for such a project, as well as the wholeorganizational and technical process that led to the establishment of a production instance that already serves 13communities: astro.vo.eu-egee.org, biomed, esr, euasia, gilda, glast.org, prod.vo.eu-eela.eu, superbvo.org,vo.formation.idgrilles.fr, vo.france-asia.org, vo.france-grilles.fr, vo.msfg.fr and vo.mcia.fr
Fractalkine Expression Induces Endothelial Progenitor Cell Lysis by Natural Killer Cells
BACKGROUND: Circulating CD34(+) cells, a population that includes endothelial progenitors, participate in the maintenance of endothelial integrity. Better understanding of the mechanisms that regulate their survival is crucial to improve their regenerative activity in cardiovascular and renal diseases. Chemokine-receptor cross talk is critical in regulating cell homeostasis. We hypothesized that cell surface expression of the chemokine fractalkine (FKN) could target progenitor cell injury by Natural Killer (NK) cells, thereby limiting their availability for vascular repair. METHODOLOGY/PRINCIPAL FINDINGS: We show that CD34(+)-derived Endothelial Colony Forming Cells (ECFC) can express FKN in response to TNF-α and IFN-γ inflammatory cytokines and that FKN expression by ECFC stimulates NK cell adhesion, NK cell-mediated ECFC lysis and microparticles release in vitro. The specific involvement of membrane FKN in these processes was demonstrated using FKN-transfected ECFC and anti-FKN blocking antibody. FKN expression was also evidenced on circulating CD34(+) progenitor cells and was detected at higher frequency in kidney transplant recipients, when compared to healthy controls. The proportion of CD34(+) cells expressing FKN was identified as an independent variable inversely correlated to CD34(+) progenitor cell count. We further showed that treatment of CD34(+) circulating cells isolated from adult blood donors with transplant serum or TNF-α/IFN-γ can induce FKN expression. CONCLUSIONS: Our data highlights a novel mechanism by which FKN expression on CD34(+) progenitor cells may target their NK cell mediated killing and participate to their immune depletion in transplant recipients. Considering the numerous diseased contexts shown to promote FKN expression, our data identify FKN as a hallmark of altered progenitor cell homeostasis with potential implications in better evaluation of vascular repair in patients
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