749 research outputs found
A new unique leafhopper genus of Erythroneurini from Thailand, with the description of one new species (Hemiptera, Cicadellidae, Typhlocybinae)
A new genus of the leafhopper tribe Erythroneurini (Cicadellidae, Typhlocybinae) from Thailand, Undulivena gen. n., and a new species Undulivena thaiensis sp. n., are described and illustrated. The new genus exhibits a unique feature of the forewing venation with CuA vein strongly sinuate
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Spiking Neural Networks (SNNs) have a greater potential for modeling time
series data than Artificial Neural Networks (ANNs), due to their inherent
neuron dynamics and low energy consumption. However, it is difficult to
demonstrate their superiority in classification accuracy, because current
efforts mainly focus on designing better network structures. In this work,
enlighten by brain-inspired science, we find that, not only the structure but
also the learning process should be human-like. To achieve this, we investigate
the power of Curriculum Learning (CL) on SNNs by designing a novel method named
CSNN with two theoretically guaranteed mechanisms: The active-to-dormant
training order makes the curriculum similar to that of human learning and
suitable for spiking neurons; The value-based regional encoding makes the
neuron activity to mimic the brain memory when learning sequential data.
Experiments on multiple time series sources including simulated, sensor,
motion, and healthcare demonstrate that CL has a more positive effect on SNNs
than ANNs with about twice the accuracy change, and CSNN can increase about 3%
SNNs' accuracy by improving network sparsity, neuron firing status, anti-noise
ability, and convergence speed.Comment: 11 pages, 3 figure
Revealing the Empty-State Electronic Structure of Single-Unit-Cell FeSe/SrTiO
We use scanning tunneling spectroscopy to investigate the filled and empty
electronic states of superconducting single-unit-cell FeSe deposited on
SrTiO(001). We map the momentum-space band structure by combining
quasiparticle interference imaging with decay length spectroscopy. In addition
to quantifying the filled-state bands, we discover a -centered electron
pocket 75 meV above the Fermi energy. Our density functional theory
calculations show the orbital nature of empty states at and suggest
that the Se height is a key tuning parameter of their energies, with broad
implications for electronic properties.Comment: 5 pages, 5 figure
Genetic changes in fetal cerebral cortex after maternal exposure to sevoflurane
Purpose: To investigate the acute changes in transcriptome of radial glial progenitor cells after maternal exposure to sevoflurane.Methods: Two groups of sample data were collected from the data set in the GEO database. Pregnant mice in sevoflurane group were exposed to 2.5 % sevoflurane for 6 h on day 14.5 of the pregnancy, while the mice in control group were exposed to 100 % oxygen for 6 h. At the end of the exposure period, the cerebral cortex of the two groups of fetuses was isolated and analyzed by RNA sequencing. Differentially expressed genes (DEG) were analyzed using limma package of R language. The Gene Ontology (GO) and KEGG pathway enrichment were based on DEG through a cluster profile package of R. Moreover, protein-protein interactions (PPI) network construction and central gene prediction were carried out using a string database and R package.Results: Bioinformatics analysis revealed 289 up-regulated genes and 311 down-regulated DEGs, respectively. Gene Ontology and KEGG enrichment analysis revealed terms related to neural development and transcriptional function. Based on the central genes of the PPI network, it was found that certain genes may play significant roles in the regulation of neural development. These genes are hnRNPM, AURKA, NCBP, SRSF6, ASF1B, HNRNPA2B1, DDX21, H3F3B, KPNA2 and ABCE1 (p < 0.05).Conclusion: The findings of this study suggest that hub genes and a variety of signal pathways may play key roles in the development of radial glial progenitor cells
Strong Majorana evidence of a vortex from scanning tunneling microscopy with a dissipative environment
It is predicted that a vortex in a topological superconductor contains a
Majorana zero mode (MZM). The confirmative Majorana signature, i.e., the
quantized conductance, however is easily sabotaged by unavoidable
interruptions, e.g. instrument broadening, non-Majorana signal, and extra
particle channels. We propose to avoid the signal interruption by introducing
disorder-induced dissipation that couples to the tip-sample tunneling. With
dissipation involved, we highlight three features, each of which alone can
provide a strong evidence to identify MZM. Firstly, dissipation suppresses a
finite-energy Caroli-de Gennes-Matricon (CdGM) conductance peak into a valley,
while it does not split MZM zero-bias conductance peak. Secondly, we predict a
dissipation-dependent scaling feature of the zero-bias conductance peak.
Thirdly, the introduced dissipation manifests the MZM signal by suppressing
non-topological CdGM modes. Importantly, the observation of these features does
not require a quantized conductance value .Comment: 13 pages, 5 figures with reference list update
Anisotropic vortex lattice structures in the FeSe superconductor
In the recent work by Song et al. [Science 332, 1410 (2011)], the scanning
tunneling spectroscopy experiment in the stoichiometric FeSe reveals evidence
for nodal superconductivity and strong anisotropy. The nodal structure can be
explained with the extended s-wave pairing structure with the mixture of the
and pairing symmetries. We calculate the anisotropic
vortex structure by using the self-consistent Bogoliubov-de Gennes mean-field
theory. In considering the absence of magnetic ordering in the FeSe at the
ambient pressure, orbital ordering is introduced, which breaks the
lattice symmetry down to , to explain the anisotropy in the vortex
tunneling spectra.Comment: 9 page
- …