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As a major strategic technology, artificial intelligence is developing rapidly while bringing numerous security risks.Currently, security data for artificial intelligence is collected from disparate sources and lacks standardized description, making it difficult to integrate and analyze effectively.To address this issue, a method for constructing an artificial intelligence security knowledge graph was proposed.The knowledge graph was used to integrate the current multi-source heterogeneous data, scientifically represent complex relationships of the data, mine potential value and form a domain knowledge base.In view of the diversity and correlation of concepts in the field of artificial intelligence security, a hierarchical structure of artificial intelligence security ontology was proposed to make the ontology structure more diversified and extensible, provide rule constraints for the process of knowledge graph construction, and form an artificial intelligence security knowledge base.To effectively utilize feature information and reduce noise interference, named entity recognition algorithm based on BiLSTM-CRF and relationship extraction algorithm based on CNN-ATT were adopted for information extraction.The constructed artificial intelligence security dataset was then used to verify the performance of the algorithm.Based on the proposed ontology, the multi-level visualization results of the artificial intelligence security knowledge graph were presented in 3D effect, effectively connecting the multi-source security data information.The experimental results show that the constructed knowledge graph meets the multi-dimensional evaluation criteria of accuracy, consistency, completeness, and timeliness, providing knowledge support for artificial intelligence security research.Overall, the proposed method can help address the complexity and heterogeneity of security data in artificial intelligence and provide a more standardized, integrated approach to knowledge representation and analysis.

Bacterial lipopolysaccharide (LPS) is a powerful activator of the innate immune system. Exposure to LPS induces an inflammatory reaction in the lung mediated primarily by human blood monocytes and alveolar macrophages, which release an array of inflammatory chemokines and cytokines including IL-8, TNF-[alpha], IL-1[beta], and IL-6. The signaling mechanisms utilized by LPS to stimulate the release of cytokines and chemokines are still incompletely understood. Pretreatment with the protein tyrosine kinase-specific inhibitors genistein and herbimycin A effectively blocked LPS-induced NF-[kappa]B activation as well as IL-8 gene expression in human peripheral blood monocytes. However, when genistein was added 2 min after the addition of LPS, no inhibition was observed. Utilizing a coimmunoprecipitation assay, we further showed that LPS-stimulated tyrosine phosphorylation of Toll-like receptor 4 (TLR4) may be involved in downstream signaling events induced by LPS. These findings provide evidence that LPS-induced NF-[kappa]B activation and IL-8 gene expression use a signaling pathway requiring protein tyrosine kinase and that such regulation may occur through tyrosine phosphorylation of TLR4. inflammation; chemokine; lipopolysaccharide; signal transduction; monocytes

A fully automated method for identification and quantification of five polar pesticides in groundwater by isotope dilution‐online solid‐phase extraction (SPE) coupled with high‐performance liquid chromatography‐quadrupole Orbitrap high‐resolution mass spectrometry was developed. After one step of filtration, an aliquot of a 7.5‐ml water sample was automatedly preconcentrated and purified on a turbulent Cyclone SPE column. The analytes were eluted in backflush mode, then separated on an analytical column and acquired by full MS/dd‐MS2 scan in negative and positive ions mode. The major parameters for sample loading, cleanup, and elution were optimized in detail. Preconcentration and ionization efficiency were highly improved by using 0.1% acid solution in the mobile phase. The method provided good linearity of calibration coefficients (R2 > 0.995), sensitive method limits of detection (0.5–10.0 ng/L), accurate mass spectra (within 5 ppm error), satisfactory matrix spiking recoveries (98.4% to 109%), and high precision (intraday/interday relative standard deviations 1.57–8.90%). The method was successfully applied to analyze large batch groundwater of National Groundwater Monitoring Project and suspect screening of potential pesticides in groundwater. The study provided a practical alternative for a simple, robust, sensitive, and accurate identification and qualification of five polar pesticides in groundwater. [ABSTRACT FROM AUTHOR]

Manganese dioxides (MnO2) were successfully deposited on carbon nanotubes (CNTs) surface by redox reaction between potassium permanganate and CNTs. The characterization results showed that the MnO2exhibited the rice-shaped nanostructure with about 5∼10 nm in width and 10∼30 nm in the length on CNTs. The solvothermal temperature of composite can greatly affected its morphology and structure to improve the thermal catalytic on ammonium perchlorate (AP) decomposition. Compared with other samples, the prepared composite at 120°C exhibited superior catalytic performance, as 3wt% of composite added in AP, the second exothermic peak temperature decreased by 160.2°C and the apparent release heat of the thermal decomposition of AP which is four times of that of pure AP. A possible mechanism for formation the rice shaped MnO2/CNTs composite is also presented. [ABSTRACT FROM AUTHOR]

Objective: To observe the effect of acupoint catgut embedding on the expression of nucleotide-binding oligomerization domain (NOD)-like receptor protein 3 (NLRP3) inflammasome, interleukin (IL)-1β and IL-18 in the uterine tissue of primary dysmenorrhea (PD) rats, so as to explore its underlying mechanisms in improving PD., Methods: Forty female SD rats were randomly divided into control, model, acupoint catgut embedding and medication groups ( n ＝10 in each group). The PD model was established by subcutaneous injection of Estradiol Benzoate (0.5 mg/rat on the 1 st and 10 th day, and 0.2 mg/rat from 2 nd to 9 th day) and Oxytocin (2 U/rat, i．p.). The catgut embedding was applied to bilateral "Sanyinjiao" (SP6) and "Guanyuan" (CV4) on the 1 st and 5 th day after modeling. Rats of the medication group were treated by intragastric perfusion of Fenbid (0.8 mL/rat, 125 mg/100 mL) once daily for 10 days. The body writhing times in 30 min were recorded. The histopathological changes of the uterine were observed by H．E. staining. Western blot was used to detect the expression of NLRP 3, caspase-1, IL-1β and IL-18 in uterine tissues., Results: The body writhing times were notably more in the model group than in the control group ( P <0.01), and obviously fewer in both medication and catgut embedding groups than in the model group ( P <0.05, P <0.01). After modeling, the rats' endometrium was extensively exfoliated and got swelling, the histopathological score and the expression levels of NLRP3, caspase-1, IL-1β and IL-18 proteins in the uterus tissue were evidently increased in the model group relevant to the control group ( P <0.01). Following the treatment, the degree of endometrial exfoliation and edema of the uterus tissue was lightened, the pathological score was significantly reduced ( P <0.01), and the expression levels of caspase-1, IL-1β and IL-18 protein in uterus tissue were markedly decreased in both acupoint catgut embedding and medication groups ( P <0.01, P <0.05). The NLRP3 protein expression was significantly decreased in the acupoint catgut embedding group compared with that in the model group ( P <0.01). The therapeutic effect of acupoint catgut embedding was significantly superior to that of medication in reducing writhing times and down-regulating expression of NLPR3 protein ( P <0.01). No significant differences were found between catgut embedding and medication in histopathological score, and expression levels of caspase-1, IL-1β and IL-18 proteins ( P >0.05)., Conclusion: The acupoint catgut embedding can significantly alleviate the symptoms and pathological damage in PD rats, which may be related to its effect in inhibiting the activation of NLRP3 inflammasome in the uterine tissue.

Stimulation of phagocytic leukocytes with bacterial chemoattractant resulted in the release of matrix metal-loproteinases (MMPs). Little is known about the mechanisms of bacterial chemoattractant regulation of MMP in phagocytic leukocytes. We report here that the mechanisms of the bacterial chemotactic peptidefMLP-induced MMP -9 release in monocytes appeared to be different from fMLP-stimulated MMP-9 release in neutrophils. In freshly prepared peripheral blood monocytes, fMLP induces MMP-9 release, starting at 8 h after stimulation. These functions of fMLP is accompanied by an increase in TNFα expression, and mediated through the phosphorylation of ERK1/2 in monocytes. However, neutrophil preparations that responded to fMLP with MMP-9 release did not require activation of ERK1/2 and TNFα expression. These results suggest a different role of fMLP in MMP-9 expression in neutrophils and monocytes, and the signal molecules involved in mediating this effect in human blood monocytes stimulated by bacterial chemoattractant.

In the host immune system, leukocytes are often exposed to multiple inflammation inducers. NF-κB is of considerable importance in leukocyte function because of its ability to activate the transcription of many proinflammatory immediate-early genes. Tremendous efforts have been made toward understanding how NF-κB is activated by various inducers. However, most research on NF-κB regulation has been focused on understanding how NF-κB is activated by a single inducer. This is unlike the situation in the human immune system where multiple inflammation inducers, including both exogenous and endogenous mediators, are present concurrently. We now present evidence that the formylated peptide f-Met-Leu-Phe (fMLP), a bacterial chemoattractant, synergizes with TNFα to induce NF-κB activation and the resultant inflammatory response in vitro and in vivo. The mechanism of synergistic activation of NF-κB by bacterial fMLP and TNFα may be involved in the induction of RelA acetylation, which is regulated by p38 MAPK. Thus, this study provides direct evidence for the synergistic induction of NF-κB-dependent inflammatory responses by both exogenous and endogenous inducers. The ability of fMLP to synergize with TNFα and activate NF-κB represents a novel and potentially important mechanism through which bacterial fMLP not only attracts leukocytes but also directly contributes to inflammation by synergizing with the endogenous mediator TNFα.