568 research outputs found
Bi-Frobenius algebra structure on quantum complete intersections
This paper is to look for bi-Frobenius algebra structures on quantum complete
intersections. We find a class of comultiplications, such that if , then a quantum complete intersection becomes a bi-Frobenius algebra with
comultiplication of this form if and only if all the parameters . Also, it is proved that if then a quantum exterior algebra
in two variables admits a bi-Frobenius algebra structure if and only if the
parameter . While if , then the exterior algebra
with two variables admits no bi-Frobenius algebra structures. Since a quantum
complete intersection over a field of characteristic zero admits no bialgebra
structures, this gives a class of examples of bi-Frobenius algebras which are
not bialgebras (and hence not Hopf algebras). On the other hand, a quantum
exterior algebra admits a bialgebra structure if and only if . In commutative case, other two comultiplications on complete intersection
rings are given, such that they admit non-isomorphic bi-Frobenius algebra
structures
Bi-Frobenius quantum complete intersections with permutation antipodes
Quantum complete intersections are Frobenius algebras, but
in the most cases they can not become Hopf algebras. This paper aims to find
bi-Frobenius algebra structures on . A key step is the construction of
comultiplication, such that becomes a bi-Frobenius algebra. By introducing
compatible permutation and permutation antipode, a necessary and sufficient
condition is found, such that admits a bi-Frobenius algebra structure with
permutation antipode; and if this is the case, then a concrete construction is
explicitly given. Using this, intrinsic conditions only involving the structure
coefficients of are obtained, for admitting a
bi-Frobenius algebra structure with permutation antipode. When is
symmetric, admits a bi-Frobenius algebra structure with permutation
antipode if and only if there exists a compatible permutation with
such that
Mesopic visual quality after three kinds of aspheric acrylic monofocal intraocular lenses
AIM:To evaluate best corrected visual acuity(BCVA)and contrast sensitivity(CS)under mesopic condition with no glare in patients following implantation of three different kinds of aspheric acrylic monofocal intraocular lens(IOLs).<p>METHODS: Seventy-seven cases(90 eyes)of age-related cataract patients were selected, who were undergone phacoemulsification and intraocular lens(IOL)implantation in our hospital during December 2011 to November 2012. Preoperatively, the patients were randomly divided into three groups: 30 eyes(25 cases)were implanted with hydrophobic yellow-tinted acrylic(HOYA)IOLs in group 1; 30 eyes(28 cases)with hydrophilic acrylic IOLs(Rayner)in group 2; 30 eyes(24 cases)with hydrophilic acrylic surface heparin processing IOLs(XO)in group 3. All eyes were evaluated at 1 month and 3 months postoperatively. The BCVA and CS under mesopic condition without glare were measured and underwent statistical analysis.<p>RESULTS: There was neither statistically significant difference in the BCVA(<i>P</i>>0.05), nor statistically significant difference in CS results(after standardization of contrast sensitivity value: lgCS)(<i>P</i>>0.05)between groups under mesopic condition, but the lgCS of the HOYA group decreased slightly. <p>CONCLUSION: There were not marked differences of BCVA and CS between groups of patients at the follow-up intervals of 1 month and 3 months under mesopic condition. The blue-filter type artificial lens may protect the retina, thus, it is advisable to implant yellow-tinted filter blue artificial lens, especially for patients who are children or young persons
Fidelity susceptibility and long-range correlation in the Kitaev honeycomb model
We study exactly both the ground-state fidelity susceptibility and bond-bond
correlation function in the Kitaev honeycomb model. Our results show that the
fidelity susceptibility can be used to identify the topological phase
transition from a gapped A phase with Abelian anyon excitations to a gapless B
phase with non-Abelian anyon excitations. We also find that the bond-bond
correlation function decays exponentially in the gapped phase, but
algebraically in the gapless phase. For the former case, the correlation length
is found to be , which diverges
around the critical point .Comment: 7 pages, 6 figure
Spatial Heterogeneity in Light Supply Affects Intraspecific Competition of a Stoloniferous Clonal Plant
Spatial heterogeneity in light supply is common in nature. Many studies have examined the effects of heterogeneous light supply on growth, morphology, physiology and biomass allocation of clonal plants, but few have tested those effects on intraspecific competition. In a greenhouse experiment, we grew one (no competition) or nine ramets (with intraspecific competition) of a stoloniferous clonal plant, Duchesnea indica, in three homogeneous light conditions (high, medium and low light intensity) and two heterogeneous ones differing in patch size (large and small patch treatments). The total light in the two heterogeneous treatments was the same as that in the homogeneous medium light treatment. Both decreasing light intensity and intraspecific competition significantly decreased the growth (biomass, number of ramets and total stolon length) of D. indica. As compared with the homogeneous medium light treatment, the large patch treatment significantly increased the growth of D. indica without intraspecific competition. However, the growth of D. indica with competition did not differ among the homogeneous medium light, the large and the small patch treatments. Consequently, light heterogeneity significantly increased intraspecific competition intensity, as measured by the decreased log response ratio. These results suggest that spatial heterogeneity in light supply can alter intraspecific interactions of clonal plants
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Multimodal sentiment analysis is a core research area that studies speaker
sentiment expressed from the language, visual, and acoustic modalities. The
central challenge in multimodal learning involves inferring joint
representations that can process and relate information from these modalities.
However, existing work learns joint representations by requiring all modalities
as input and as a result, the learned representations may be sensitive to noisy
or missing modalities at test time. With the recent success of sequence to
sequence (Seq2Seq) models in machine translation, there is an opportunity to
explore new ways of learning joint representations that may not require all
input modalities at test time. In this paper, we propose a method to learn
robust joint representations by translating between modalities. Our method is
based on the key insight that translation from a source to a target modality
provides a method of learning joint representations using only the source
modality as input. We augment modality translations with a cycle consistency
loss to ensure that our joint representations retain maximal information from
all modalities. Once our translation model is trained with paired multimodal
data, we only need data from the source modality at test time for final
sentiment prediction. This ensures that our model remains robust from
perturbations or missing information in the other modalities. We train our
model with a coupled translation-prediction objective and it achieves new
state-of-the-art results on multimodal sentiment analysis datasets: CMU-MOSI,
ICT-MMMO, and YouTube. Additional experiments show that our model learns
increasingly discriminative joint representations with more input modalities
while maintaining robustness to missing or perturbed modalities.Comment: AAAI 2019, code available at https://github.com/hainow/MCT
Coding Properties of Mouse Retinal Ganglion Cells with Dual-Peak Patterns with Respect to Stimulus Intervals
How visual information is encoded in spikes of retinal ganglion cells (RGCs) is essential in visual neuroscience. In the present study, we investigated the coding properties of mouse RGCs with dual-peak patterns with respect to visual stimulus intervals. We first analyzed the response properties, and observed that the latencies and spike counts of the two response peaks in the dual-peak pattern exhibited systematic changes with the preceding light-OFF interval. We then applied linear discriminant analysis (LDA) to assess the relative contributions of response characteristics of both peaks in information coding regarding the preceding stimulus interval. It was found that for each peak, the discrimination results were far better than chance level based on either latency or spike count, and were further improved by using the combination of the two parameters. Furthermore, the best discrimination results were obtained when latencies and spike counts of both peaks were considered in combination. In addition, the correct rate for stimulation discrimination was higher when RGC population activity was considered as compare to single neuronβs activity, and the correct rate was increased with the group size. These results suggest that rate coding, temporal coding, and population coding are all involved in encoding the different stimulus-interval patterns, and the two response peaks in the dual-peak pattern carry complementary information about stimulus interval
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