303 research outputs found
Two Stream Scene Understanding on Graph Embedding
The paper presents a novel two-stream network architecture for enhancing
scene understanding in computer vision. This architecture utilizes a graph
feature stream and an image feature stream, aiming to merge the strengths of
both modalities for improved performance in image classification and scene
graph generation tasks. The graph feature stream network comprises a
segmentation structure, scene graph generation, and a graph representation
module. The segmentation structure employs the UPSNet architecture with a
backbone that can be a residual network, Vit, or Swin Transformer. The scene
graph generation component focuses on extracting object labels and neighborhood
relationships from the semantic map to create a scene graph. Graph
Convolutional Networks (GCN), GraphSAGE, and Graph Attention Networks (GAT) are
employed for graph representation, with an emphasis on capturing node features
and their interconnections. The image feature stream network, on the other
hand, focuses on image classification through the use of Vision Transformer and
Swin Transformer models. The two streams are fused using various data fusion
methods. This fusion is designed to leverage the complementary strengths of
graph-based and image-based features.Experiments conducted on the ADE20K
dataset demonstrate the effectiveness of the proposed two-stream network in
improving image classification accuracy compared to conventional methods. This
research provides a significant contribution to the field of computer vision,
particularly in the areas of scene understanding and image classification, by
effectively combining graph-based and image-based approaches
Polymeric Janus nanorods via anodic aluminum oxide templating
We report a novel method for the fabrication of polymeric Janus nanorods via sequential polymerization from anodic aluminum oxide (AAO) templates. Dual compositions can be incorporated into individual nanorods and endow versatile potential applications. This fabrication strategy paves the way for constructing multifunctional nanostructures and brings together different materials in a single entity
Mapping the tail fiber as the receptor binding protein responsible for differential host specificity of Pseudomonas aeruginosa bacteriophages PaP1 and JG004.
The first step in bacteriophage infection is recognition and binding to the host receptor, which is mediated by the phage receptor binding protein (RBP). Different RBPs can lead to differential host specificity. In many bacteriophages, such as Escherichia coli and Lactococcal phages, RBPs have been identified as the tail fiber or protruding baseplate proteins. However, the tail fiber-dependent host specificity in Pseudomonas aeruginosa phages has not been well studied. This study aimed to identify and investigate the binding specificity of the RBP of P. aeruginosa phages PaP1 and JG004. These two phages share high DNA sequence homology but exhibit different host specificities. A spontaneous mutant phage was isolated and exhibited broader host range compared with the parental phage JG004. Sequencing of its putative tail fiber and baseplate region indicated a single point mutation in ORF84 (a putative tail fiber gene), which resulted in the replacement of a positively charged lysine (K) by an uncharged asparagine (N). We further demonstrated that the replacement of the tail fiber gene (ORF69) of PaP1 with the corresponding gene from phage JG004 resulted in a recombinant phage that displayed altered host specificity. Our study revealed the tail fiber-dependent host specificity in P. aeruginosa phages and provided an effective tool for its alteration. These contributions may have potential value in phage therapy
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
Weakly Private Information Retrieval from Heterogeneously Trusted Servers
We study the problem of weakly private information retrieval (PIR) when there
is heterogeneity in servers' trustfulness under the maximal leakage (Max-L)
metric and mutual information (MI) metric. A user wishes to retrieve a desired
message from N non-colluding servers efficiently, such that the identity of the
desired message is not leaked in a significant manner; however, some servers
can be more trustworthy than others. We propose a code construction for this
setting and optimize the probability distribution for this construction. For
the Max-L metric, it is shown that the optimal probability allocation for the
proposed scheme essentially separates the delivery patterns into two parts: a
completely private part that has the same download overhead as the
capacity-achieving PIR code, and a non-private part that allows complete
privacy leakage but has no download overhead by downloading only from the most
trustful server. The optimal solution is established through a sophisticated
analysis of the underlying convex optimization problem, and a reduction between
the homogeneous setting and the heterogeneous setting. For the MI metric, the
homogeneous case is studied first for which the code can be optimized with an
explicit probability assignment, while a closed-form solution becomes
intractable for the heterogeneous case. Numerical results are provided for both
cases to corroborate the theoretical analysis.Comment: 23 pages 3 figures. arXiv admin note: text overlap with
arXiv:2205.0161
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
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