102 research outputs found

    MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing

    Full text link
    Multimodal knowledge editing represents a critical advancement in enhancing the capabilities of Multimodal Large Language Models (MLLMs). Despite its potential, current benchmarks predominantly focus on coarse-grained knowledge, leaving the intricacies of fine-grained (FG) multimodal entity knowledge largely unexplored. This gap presents a notable challenge, as FG entity recognition is pivotal for the practical deployment and effectiveness of MLLMs in diverse real-world scenarios. To bridge this gap, we introduce MIKE, a comprehensive benchmark and dataset specifically designed for the FG multimodal entity knowledge editing. MIKE encompasses a suite of tasks tailored to assess different perspectives, including Vanilla Name Answering, Entity-Level Caption, and Complex-Scenario Recognition. In addition, a new form of knowledge editing, Multi-step Editing, is introduced to evaluate the editing efficiency. Through our extensive evaluations, we demonstrate that the current state-of-the-art methods face significant challenges in tackling our proposed benchmark, underscoring the complexity of FG knowledge editing in MLLMs. Our findings spotlight the urgent need for novel approaches in this domain, setting a clear agenda for future research and development efforts within the community.Comment: 8 page

    Targeted screening of multiple anti-inflammatory components from Chrysanthemi indici Flos by ligand fishing with affinity UF-LC/MS

    Get PDF
    Chrysanthemi indic Flos (CIF) has been commonly consumed for the treatment of inflammation and related skin diseases. However, the potential bioactive components responsible for its anti-inflammatory and sensitive skin (SS) improvement activities, and the correlated mechanisms of action still remain unknown. In this work, it was firstly found that the CIF extract (CIFE) displayed arrestive free radical scavenging activity on DPPH and ABTS radicals, with no significant difference with positive control Trolox (p > 0.05). Then, compared to the negative group, CIFE markedly decreased the productions of the pro-inflammatory cytokines (IL-1β, IL-6, PEG2, TNF-α, IFN-γ, NO) in LPS induced RAW264.7 cells in a dose-dependent manner (p < 0.01). Besides, CIFE strongly inhibited the COX-2 and hyaluronidase (HAase) with the IC50 values of 1.06 ± 0.01 μg/mL and 12.22 ± 0.39 μg/mL, indicating higher inhibitory effect than positive control of aspirin of 6.33 ± 0.05 μg/mL (p < 0.01), and comparable inhibitory effect with indometacin of 0.60 ± 0.03 μg/mL, and ascorbic acid of 11.03 ± 0.41 μg/mL (p > 0.05), respectively. Furthermore, kinetic assays with Lineweaver-Burk plot (Michaelis Menten equation) suggested that CIFE reversibly inhibited the COX-2 and HAase, with a mixed characteristics of competitive and non-competitive inhibition. Thereafter, multi-target affinity ultrafiltration liquid chromatography-mass spectrometry (UF-LC/MS) method was employed to fast fish out the potential COX-2 and HAase in CIFE. Herein, 13 components showed various affinity binding degrees to the COX-2 and HAase, while those components with relative binding affinity (RBA) value higher than 3.0, such as linarin and chlorogenic acid isomers, were deemed to be the most bioactive components for the anti-inflammatory and SS improvement activities of CIFE. Finally, the interaction mechanism, including binding energy, inhibition constant, docking sites, and the key amino acids involved in hydrogen bonds between the potential ligands and COX-2/HAase were simulated and confirmed with the molecule docking analysis. In summary, this study showcased the prominent anti-inflammatory and SS improvement activities of CIF, which would provide further insights on this functional medicinal plant to be a natural anti-SS remedy

    Effects of Astragalus Polysaccharides on Associated Immune Cells and Cytokines in Immunosuppressive Dogs

    Get PDF
    AbstractThe aim of this study was to determine the effects of Astragalus Polysaccharide (APS) on associated Immunity Cells and Cytokines in the immunosuppressive dogs and its dose-effect correlation. One hundred two-month-old male Chinese Countryside Dogs were randomly assigned to five groups: Control group (CG), immunosuppressive group (IG), APS low dose group (50mg/kg, LDG), APS median dose group (100mg/kg, MDG), and APS high dose group (200mg/kg, HDG), each group with twenty animals. After successfully established the dexamethasone-induced immunosuppressive models, with intravenous administer the CG and IG groups were daily dosed with saline, and the other three groups were daily dosed with APS for 7 days. On day 4 and 11 venous blood samples were collected and analyzed to determine the percentages of peripheral blood ANAE+ T lymphocytes, CD4+, CD8+ cells and CD4+/CD8+ ratio; the phagocytic index and percentage of the peritoneal macrophages; and the contents of INF-γ and IL-2. After 7 days administration, the measured parameters as described above in three treated groups increased significantly (P<0.05). Our findings show that the dosage of 200mg/kg APS can significantly enhance the cellular immune level of the immunosuppressive dogs. This study has provided evidence and basis for Astragalus polysaccharides development as companion animal health products as well as for its clinical application

    Comparative analysis of the transcriptome across distant species

    Get PDF
    The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters
    corecore