1,752 research outputs found
Fine-grained uncertainty relation and nonlocality of tripartite systems
The upper bound of the fine-grained uncertainty relation is different for
classical physics, quantum physics and no-signaling theories with maximal
nonlocality (supper quantum correlation), as was shown in the case of bipartite
systems [J. Oppenheim and S. Wehner, Science 330, 1072 (2010)]. Here, we extend
the fine-grained uncertainty relation to the case of tripartite systems. We
show that the fine-grained uncertainty relation determines the nonlocality of
tripartite systems as manifested by the Svetlichny inequality, discriminating
between classical physics, quantum physics and super quantum correlations.Comment: 4 page
On the Stability of Coherent States for Pais-Uhlenbeck Oscillator
We have constructed coherent states for the higher derivative Pais-Uhlenbeck
Oscillator. In the process we have suggested a novel way to construct coherent
states for the oscillator having only negative energy levels. These coherent
states have negative energies in general but their coordinate and momentum
expectation values and dispersions behave in an identical manner as that of
normal (positive energy) oscillator. The coherent states for the Pais-Uhlenbeck
Oscillator have constant dispersions and a modified Heisenberg Uncertainty
Relation. Moreover, under reasonable assumptions on parameters these coherent
states can have positive energies.Comment: Title changed, modified version with no major change in results and
conclusions, to appear in Mod.Phys.Lett.
DNA amplified fingerprinting, a useful tool for determination of genetic origin and diversity analysis in Citrus
We used three short repetitive nucleotide sequences [(GTG)5, (TAC)5, and (GACA)4] either as radiolabeled probes for hybridization with restricted Citrus DNA or as single primers in polymerase chain reaction amplification experiments with total genomic DNA. We tested the ability of the sequences to discriminate between seedlings of zygotic or nuclear origin in the progeny of a Volkamer lemon #Citrus volkameriana# Ten. & Pasq.) tree. The genetic variability within two species [#Citrus sinensis# (L.) Osbeck (sweet oranges) and #Citrus reticulata# Blanco and relatives (mandarins)] was evaluated. DNA amplified figerprinting with single primers was the more successful technique for discriminating between nucellular and zygotic seedlings. Although we were not able to distinguish among 10 cultivars of #C. sinensis#, all 10 #C. reticulata# cultivars tested were distinguishable. However, it still is difficult to identify the putative parents of a hybrid plant when the two parental genomes are closely related. (Résumé d'auteur
Micro-Indentation of Metal Matrix Composites: A 3D Finite Element Analysis
This paper investigates the inhomogeneous behavior of MMCs subjected to microindentation by a spherical indenter using 3D finite element analysis. This includes the effects on hardness of volume percentage of reinforced particles and indenter-to-particle diameter-ratio. It was found that the increase of volume percentage of reinforced particles and indenter-to-particle diameterratio increases the resistance to deformation of an MMC. The hardness varies in a complex way with the changes of load, volume percentage of particles and indenter-to-particle diameter-ratio
Stagnation zone during the turning of Duplex SAF 2205 stainless steels alloy
Duplex stainless alloys are extremely sensitive to cutting speed for strain hardening during machining. Tool wear for these materials is dominated by the adhesion wear because of formation of built-up edge (BUE) that upsurges the flank wear considerably. In addition, flute damage is a significant problem during drilling of those alloys. To address this issue, this paper investigates the mechanism of BUE creation in stagnation region of duplex SAF 2205 alloys during material removal by turning process. The investigation of chip root through SEM and electron backscatter diffraction (EBSD) revealed build-up of ferritic bands at the stagnation zone. Higher capacity of austenite phase to deform plastically is accountable for the ferrite build-up. This was detected as a possible activating mechanism of built-up edge. The flow pattern of austenite phase designates faster deforming compare to that of ferrite phases
Binding of His-tagged fluorophores to lipid bilayers and giant vesicles
His-tagged molecules can be attached to lipid bilayers via certain anchor lipids, a method that has been widely used for the biofunctionalization of membranes and vesicles. To measure the coverage by the membrane-bound molecules, it is useful to study molecules that are fluorescent as well. Here, we use two such molecules, green fluorescence protein (GFP) and green-fluorescent fluorescin isothiocyanate (FITC), both of which are tagged with a chain of six histidines that bind to achor lipids within the bilayers. This His-tag is much smaller in size than the GFP molecule but somewhat larger than the FITC dye. The lipid bilayers form giant unilamellar vesicles (GUVs), the behavior of which can be directly observed in the optical microscope. Several protocols for the preparation of GUVs have been developed. We apply and compare three well-established protocols based on polyvinyl alcohol (PVA) hydrogel swelling, electroformation on platinum wires, and electroformation on indium tin oxide (ITO) glass. For the same nanomolar concentration in the exterior solution, the coverage by His-tagged FITC is much lower than the one by His-tagged GFP. However, for both GFP and FITC, we find that the binding of the His-tagged molecules to the anchor lipids depends strongly on the preparation method. The highest binding affinitiy is obtained for electroformation on platinum wires. PVA gel swelling gives rise to a somewhat smaller binding affinity whereas electroformation on ITO glass leads to essentially no binding. Furthermore, the binding affinitiy is also observed to depend on the pH of the aqueous solution, with a relatively weak and strong pH-dependence for His-tagged GFP and His-tagged FITC, respectively
{UNIQORN}: {U}nified Question Answering over {RDF} Knowledge Graphs and Natural Language Text
Question answering over knowledge graphs and other RDF data has been greatly advanced, with a number of good systems providing crisp answers for natural language questions or telegraphic queries. Some of these systems incorporate textual sources as additional evidence for the answering process, but cannot compute answers that are present in text alone. Conversely, systems from the IR and NLP communities have addressed QA over text, but barely utilize semantic data and knowledge. This paper presents the first QA system that can seamlessly operate over RDF datasets and text corpora, or both together, in a unified framework. Our method, called UNIQORN, builds a context graph on the fly, by retrieving question-relevant triples from the RDF data and/or the text corpus, where the latter case is handled by automatic information extraction. The resulting graph is typically rich but highly noisy. UNIQORN copes with this input by advanced graph algorithms for Group Steiner Trees, that identify the best answer candidates in the context graph. Experimental results on several benchmarks of complex questions with multiple entities and relations, show that UNIQORN, an unsupervised method with only five parameters, produces results comparable to the state-of-the-art on KGs, text corpora, and heterogeneous sources. The graph-based methodology provides user-interpretable evidence for the complete answering process
The interparticle interaction and crossover in critical lines on field-temperature plane in PrSrMnO nanoparticles
The magnetic properties and the effects of interparticle interaction on it
have been studied in nanoparticles of half doped PrSrMnO.
Three samples consisting of nanoparticles of different average particle sizes
are synthesized to render the variation in interparticle interaction. Though
all the samples crystallize in the same structure to that of their bulk
compound, the low temperature ferromagnetic-antiferromagnetic transition, which
is present in bulk compound, is not evident in the nanoparticles. Linear as
well as nonlinear ac susceptibility coupled with dc magnetic measurements have
shown the superparamagnetic behavior of these nanoparticles where the blocking
temperature increases with the increasing particle size. Presence of
interparticle interaction is confirmed from the temperature variation of
coercive field and the analysis of frequency dependent ac susceptibility. We
have identified the nature of this interaction to be of dipolar type, and show
that its strength decreases with the increasing particle size. The effect of
this dipolar interaction on magnetic properties is intriguing as the compounds
exhibit crossover from de Almeida-Thouless to Gabay-Toulouse like critical
lines on field-temperature plane above their respective interaction field. In
agreement with theoretical prediction, we infer that this crossover is induced
by the unidirectional anisotropy arising from interparticle interaction, and
this is confirmed from the presence of exchange bias phenomenon.Comment: To appear in Phys. Rev.
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