Topological holographic quench dynamics in a synthetic dimension

The notion of topological phases extended to dynamical systems stimulates extensive studies, of which the characterization of non-equilibrium topological invariants is a central issue and usually necessitates the information of quantum dynamics in both the time and spatial dimensions. Here we combine the recently developed concepts of the dynamical classification of topological phases and synthetic dimension, and propose to efficiently characterize photonic topological phases via holographic quench dynamics. A pseudo spin model is constructed with ring resonators in a synthetic lattice formed by frequencies of light, and the quench dynamics is induced by initializing a trivial state which evolves under a topological Hamiltonian. Our key prediction is that the complete topological information of the Hamiltonian is extracted from quench dynamics solely in the time domain, manifesting holographic features of the dynamics. In particular, two fundamental time scales emerge in the quench dynamics, with one mimicking the Bloch momenta of the topological band and the other characterizing the residue time evolution of the state after quench. For this a dynamical bulk-surface correspondence is obtained in time dimension and characterizes the topology of the spin model. This work also shows that the photonic synthetic frequency dimension provides an efficient and powerful way to explore the topological non-equilibrium dynamics.Comment: Compared to the previous submission, we made changes to figures and revised some discussion

Isolation and identification of compounds present in rhizomes of Paris axialis H. Li and study of their cytotoxic effects

Ten compounds were isolated from the rhizomes of Paris axialis H. Li (PA). Based on spectral data, the isolated compounds were identified as Diosgenin (1), Paris saponin V (2), Paris saponin VI (3), Paris saponin I 4), Paris saponin H (5), Paris saponin II (6), Paris saponin VII (7), luteolin (8), luteoloside (9), isorhamnetin-3-O-α-L-rhamnopyranosyl (1→2)-β-D-glycopyranoside (10). Their cytotoxicity on LA795 cells was evaluated. Paris saponins and flavonoids have synergistic anti-tumor effect on LA795 cells.Colegio de Farmacéuticos de la Provincia de Buenos Aire

A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis

Current quality control patterns are limited to industrial application, for most the natural chemical reference substances are expensive and unavailable. Here in, quantitative analysis of multi-components with single marker (QAMS) method, is established and validated to simultaneously determine five steroidal saponins (Paris-VII, Paris-H, Paris-II, Dioscin , Paris-I) in Rhizoma Paridis. Using Paris-I as the contrast, the relative correction factors (RCF) of the other four steroidal saponins are determined by HPLC-UV. With in the linear ranges, the values of RCF of Paris-I to Paris-VII, Paris-H, Paris-II and Dioscin are 0.877, 1.087, 0.975 and 1.127, respectively. The RCF has a good reproducibility in various instruments, chromatographic columns (RSD = 0.88 % ~ 4.52 %). According to their RCF, five steroidal saponins are simultaneously determined in Rhizoma Paridis by one marker.Colegio de Farmacéuticos de la Provincia de Buenos Aire

A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis

Current quality control patterns are limited to industrial application, for most the natural chemical reference substances are expensive and unavailable. Here in, quantitative analysis of multi-components with single marker (QAMS) method, is established and validated to simultaneously determine five steroidal saponins (Paris-VII, Paris-H, Paris-II, Dioscin , Paris-I) in Rhizoma Paridis. Using Paris-I as the contrast, the relative correction factors (RCF) of the other four steroidal saponins are determined by HPLC-UV. With in the linear ranges, the values of RCF of Paris-I to Paris-VII, Paris-H, Paris-II and Dioscin are 0.877, 1.087, 0.975 and 1.127, respectively. The RCF has a good reproducibility in various instruments, chromatographic columns (RSD = 0.88 % ~ 4.52 %). According to their RCF, five steroidal saponins are simultaneously determined in Rhizoma Paridis by one marker.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Isolation and identification of compounds present in rhizomes of Paris axialis H. Li and study of their cytotoxic effects

Ten compounds were isolated from the rhizomes of Paris axialis H. Li (PA). Based on spectral data, the isolated compounds were identified as Diosgenin (1), Paris saponin V (2), Paris saponin VI (3), Paris saponin I 4), Paris saponin H (5), Paris saponin II (6), Paris saponin VII (7), luteolin (8), luteoloside (9), isorhamnetin-3-O-α-L-rhamnopyranosyl (1→2)-β-D-glycopyranoside (10). Their cytotoxicity on LA795 cells was evaluated. Paris saponins and flavonoids have synergistic anti-tumor effect on LA795 cells.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Anti-inflammatory effects of Fritillaria ussuriensis maxim

Bulbs of Fritillaria ussuriensis Maxim., usually known as Bulbus Fritillariae ussuriensis, (BFU) has been used as antitussive, antiasthmatic and expectorant in traditional herbal medicine. In this study, the aqueous extract of BFU (BFUE) was evaluated for its anti-inflammatory activity. Meanwhile, the content of PGE2 and MDA in inflammatory exudates was measured to explore the anti-inflammatory mechanisms of BFUE. In order to identify the active components of BFU, the total alkaloids (TA), the total flavonoids (TF) and the total saponins (TS) were evaluated for their bioactivities. Results showed that BFUE inhibited carrageenin-induced paw edema, xylene-induced auricular edema and acetic acid-induced vascular permeation in a dose-dependent manner, and it revealed obvious inhibitory effects on the increase of PGE2 and MDA. TF showed the highest anti-inflammatory effects on auricular edema induced by xylene in mice, and TS at a dose of 400 and 200 mg/kg also showed good effects (P 2 and MDA levels, and TF and TS might be the active components for this activity.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Anti-inflammatory effects of Fritillaria ussuriensis maxim

Bulbs of Fritillaria ussuriensis Maxim., usually known as Bulbus Fritillariae ussuriensis, (BFU) has been used as antitussive, antiasthmatic and expectorant in traditional herbal medicine. In this study, the aqueous extract of BFU (BFUE) was evaluated for its anti-inflammatory activity. Meanwhile, the content of PGE2 and MDA in inflammatory exudates was measured to explore the anti-inflammatory mechanisms of BFUE. In order to identify the active components of BFU, the total alkaloids (TA), the total flavonoids (TF) and the total saponins (TS) were evaluated for their bioactivities. Results showed that BFUE inhibited carrageenin-induced paw edema, xylene-induced auricular edema and acetic acid-induced vascular permeation in a dose-dependent manner, and it revealed obvious inhibitory effects on the increase of PGE2 and MDA. TF showed the highest anti-inflammatory effects on auricular edema induced by xylene in mice, and TS at a dose of 400 and 200 mg/kg also showed good effects (P 2 and MDA levels, and TF and TS might be the active components for this activity.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Optical neural network architecture for deep learning with the temporal synthetic dimension

The physical concept of synthetic dimensions has recently been introduced into optics. The fundamental physics and applications are not yet fully understood, and this report explores an approach to optical neural networks using synthetic dimension in time domain, by theoretically proposing to utilize a single resonator network, where the arrival times of optical pulses are interconnected to construct a temporal synthetic dimension. The set of pulses in each roundtrip therefore provides the sites in each layer in the optical neural network, and can be linearly transformed with splitters and delay lines, including the phase modulators, when pulses circulate inside the network. Such linear transformation can be arbitrarily controlled by applied modulation phases, which serve as the building block of the neural network together with a nonlinear component for pulses. We validate the functionality of the proposed optical neural network for the deep learning purpose with examples handwritten digit recognition and optical pulse train distribution classification problems. This proof of principle computational work explores the new concept of developing a photonics-based machine learning in a single ring network using synthetic dimensions, which allows flexibility and easiness of reconfiguration with complex functionality in achieving desired optical tasks