11,404 research outputs found
Strongly Nonlinear Topological Phases of Cascaded Topoelectrical Circuits
Circuits provide ideal platforms of topological phases and matter, yet the
study of topological circuits in the strongly nonlinear regime, has been
lacking. We propose and experimentally demonstrate strongly nonlinear
topological phases and transitions in one-dimensional electrical circuits
composed of nonlinear capacitors. Nonlinear topological interface modes arise
on domain walls of the circuit lattices, whose topological phases are
controlled by the amplitudes of nonlinear voltage waves. Experimentally
measured topological transition amplitudes are in good agreement with those
derived from nonlinear topological band theory. Our prototype paves the way
towards flexible metamaterials with amplitude-controlled rich topological
phases and is readily extendable to two and three-dimensional systems that
allow novel applications.Comment: accepted by Frontiers of Physics, 18+9 pages, 4+3 figure
Pharmacokinetics and pharmacodynamics of a novel Acetylcholinesterase Inhibitor, DMNG-3
DMNG-3 (3β-Methyl-[2-(4-nitrophenoxy)ethyl]-amino]con-5-enine), is a new and the potentially most potent acetylcholinesterase inhibitor recently obtained from conessine by N-demethylation and nucleophilic substitution reaction. In the present study, a step‑down passive avoidance test was used to investigate whether DMNG-3 could modulate impairment of learning and memory induced by scopolamine, and a high performance liquid chromatography (HPLC) method for the determination of DMNG-3 in biological samples was applied to study its pharmacokinetics and tissues distribution. Separation was achieved on C18 column using a mobile phase consisting methanol‑water (70:30, v/v) at a flow rate of 1.0 ml/min. The intra- and inter-day precisions were good and the RSD was all lower than 1.30%. The mean absolute recovery of DMNG-3 in plasma ranged from 88.55 to 96.45%. Our results showed oral administration of DMNG-3 (10, 25, 50 mg/kg/day) can significantly improve the latency and number of errors and had a positive effect of improvement of learning and memory in mice in passive avoidance tests. The elimination half-life (T1/2) was 14.07±1.29, 15.87±1.03 h, and the total clearance (CL) values were 0.70±0.11, 0.78±0.13 L/h/kg, respectively. The pharmacokinetic studies showed that DMNG-3 has a slowly clearance and large distribution volume in experimental animals, and its disposition is linear over the range of doses tested. The liver, small intestine, stomach, and large intestine were the major distribution tissues of DMNG-3 in mice. It was found that DMNG-3 could be detected in brain, suggesting that DMNG-3 can cross the blood-brain barrier. The present study shows that DMNG-3 can be possible developed as a new drug for the treatment of Alzheimer's disease in the future
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout
Using synthesized images to boost the performance of perception models is a
long-standing research challenge in computer vision. It becomes more eminent in
visual-centric autonomous driving systems with multi-view cameras as some
long-tail scenarios can never be collected. Guided by the BEV segmentation
layouts, the existing generative networks seem to synthesize photo-realistic
street-view images when evaluated solely on scene-level metrics. However, once
zoom-in, they usually fail to produce accurate foreground and background
details such as heading. To this end, we propose a two-stage generative method,
dubbed BEVControl, that can generate accurate foreground and background
contents. In contrast to segmentation-like input, it also supports sketch style
input, which is more flexible for humans to edit. In addition, we propose a
comprehensive multi-level evaluation protocol to fairly compare the quality of
the generated scene, foreground object, and background geometry. Our extensive
experiments show that our BEVControl surpasses the state-of-the-art method,
BEVGen, by a significant margin, from 5.89 to 26.80 on foreground segmentation
mIoU. In addition, we show that using images generated by BEVControl to train
the downstream perception model, it achieves on average 1.29 improvement in NDS
score.Comment: 13 pages, 8 figure
Entanglement detection beyond the CCNR criterion for infinite-dimensions
In this paper, in terms of the relation between the state and the reduced
states of it, we obtain two inequalities which are valid for all separable
states in infinite-dimensional bipartite quantum systems. One of them provides
an entanglement criterion which is strictly stronger than the computable
cross-norm or realignment (CCNR) criterion.Comment: 11 page
High Sensitive Z-shaped Fiber Interferometric Refractive Index Sensor: Simulation and Experiment
A robust fiber-optic interferometer, which is formed by introducing two bends (i.e. z shape) to the standard telecommunication single mode fiber, is designed and analyzed theoretically and experimentally for the refractive index (RI) sensing. The first (second) bend couples (re-couples) the core (cladding) mode to the cladding (core) modes. The RI-sensitive phase difference between the core and cladding modes gives rise to the modulation of the transmitted intensity. The experimental results show that the z-shaped interferometric sensor possesses an RI sensitivity as high as 196 nm/RIU and fit well with the theoretical predictions. An investigation of the effect of perturbations of bent angle reveals that the sensor possesses relative high sensitivities as the bent angle ranges from 13° to 17° with difference between the maximum and minimum sensitivities only 2.5% indicating the structure has a good fabrication tolerance to the inaccuracy of the bent angles. In addition, the sensor has advantages of low cost, simple structure and ease of fabrication, showing great potential in many sensing applications
Identity-Set-based Broadcast Encryption supporting “Cut-or-Select” with Short Ciphertext
In this paper we present an identity-set-based broadcast encryption scheme with three working modes: positive membership (Select-mode), all member (All-mode), and negative membership (Cut-mode) over the user identity set, simultaneously.The core of our scheme is the implementation of cryptographic representation of subset by using two aggregation functions: Zeros-based aggregation and Poles-based aggregation. These two aggregation functions are capable of compressing any subset into one element in a bilinear map
group for determining the membership between an element and a subset. Our scheme achieves the optimal bound of O(1)-size for either ciphertext (consisting of just two elements) or decryption key (one element) for an identity set of large size. We prove that our scheme is secure under the
General Diffie-Hellman Exponent (GDHE) assumption
{Bis[2-(diphenylphosphino)phenyl] ether-κ2 P:P′}(dimethyl 2,2′-biphenyl-4,4′-dicarboxylate-κ2 N:N′)copper(I) hexafluoridophosphate acetonitrile solvate
In the title compound, [Cu(C14H12N2O4)(C36H28OP2)]PF6·CH3CN, the Cu(I) ion is coordinated by two N atoms from the dimethyl 2,2′-biphenyl-4,4′-dicarboxylate ligand and two P atoms from the bis[2-(diphenylphosphino)phenyl] ether ligand in a distorted tetrahedral environment. In the cation, the short distance of 3.870 (4) Å between the centroids of the benzene and phenyl rings suggests the existence of intramolecular π–π interactions
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