Intelligent fault detection strategy for knowledge entities in fault semantic networks of distribution network based on siamese networks.

The advent of smart grid technologies has brought about a paradigm shift in the management and operation of distribution networks, allowing for intricate system information to be encapsulated within semantic network models. These models, while robust, are not immune to faults within their knowledge entities, which can arise from a myriad of issues, potentially leading to verification failures and operational disruptions. Addressing this critical vulnerability, our research delves into the development of a novel fault detection methodology specifically tailored for the knowledge entity variables of semantic networks in distribution networks. In our approach, we first construct a state space equation that models the behavior of knowledge entity variables in the presence of faults. This foundational framework enables us to apply an unknown input observer strategy to effectively detect anomalies within the system. To bolster the fault identification process, we introduce the innovative use of a siamese network, a neural network architecture which is proficient in differentiating between similar datasets. Through simulation scenarios, we demonstrate the efficacy of our proposed fault detection method.

Research on Gas Multi-indicator Warning Method of Coal Mine Working Face Based on MOA-Transformer.

The gas emission from the coal mine working face is influenced by multiple factors, resulting in the real-time value, fluctuation, and trend changes of gas concentration being relatively independent and interrelated. This paper establishes a gas multi-indicator warning method that can comprehensively warn the status of real-time value, fluctuation, and trend changes of gas concentration from the working face. This paper proposes six basic indicators and includes two main research contents: intelligent threshold partition and gas multi-indicator warning. First, this paper proposes an intelligent threshold partition algorithm based on GF-KMeans (genetic fixed-centered K-means), which combines a genetic algorithm (GA) and an FC-KMeans (fixed-centered K-means) algorithm to dynamically partition the threshold range corresponding to the gas warning level. The GA solves the local optimal problem in the traditional K-Means algorithm, enhancing its stability and predictability. The FC-KMeans algorithm achieves a more precise control in the initial clustering center selection. Second, this paper researches a gas multi-indicator warning method based on a multihead optimal attention (MOA)-Transformer. By using the multihead optimization attention mechanism to represent classification features and utilizing Transformer's encoder structure to classify gas warning. The experimental result shows that the accuracy of the MOA-Transformer method is 86.17%, which is 3.45% higher than that of the Transformer method. The precision of the MOA-Transformer method is 88.78%, which is 3.75% higher than that of the Transformer method. The recall of the MOA-Transformer method is 85.23%, which is 4.70% higher than that of the Transformer method. The macro-F1 of the MOA-Transformer method is 86.96%, which is 4.39% higher than that of the Transformer method. The results fully demonstrate the superiority of the MOA-Transformer method in gas warning tasks.

[Circular RNA-Encoded Proteins in Gastrointestinal Cancer:A Review].

Circular RNAs(CircRNAs)are a class of non-coding RNAs with a covalently closed-loop structure,high stability,and tissue specificity,with the production mechanisms different from linear RNAs.Recent studies have discovered that some CircRNAs can encode proteins via cap-independent translation mechanisms such as internal ribosome entry site,N6-methyladenosine,and rolling loop translation.The encoded proteins regulate homologous linear proteins or downstream signaling pathways via protein bait or other mechanisms,thereby exerting biological functions.Studies have shown that CircRNAs play a role in various diseases,especially in tumor progression,proliferation,invasion,and metastasis and immune regulation.Therefore,by elucidating the expression and roles of proteins encoded by CircRNAs in tumorigenesis and development,this paper is expected to provide new tumor markers and potential targets for tumor diagnosis and treatment.

Physiological and pathological effects of phase separation in the central nervous system.

Phase separation, also known as biomolecule condensate, participates in physiological processes such as transcriptional regulation, signal transduction, gene expression, and DNA damage repair by creating a membrane-free compartment. Phase separation is primarily caused by the interaction of multivalent non-covalent bonds between proteins and/or nucleic acids. The strength of molecular multivalent interaction can be modified by component concentration, the potential of hydrogen, posttranslational modification, and other factors. Notably, phase separation occurs frequently in the cytoplasm of mitochondria, the nucleus, and synapses. Phase separation in vivo is dynamic or stable in the normal physiological state, while abnormal phase separation will lead to the formation of biomolecule condensates, speeding up the disease progression. To provide candidate suggestions for the clinical treatment of nervous system diseases, this review, based on existing studies, carefully and systematically represents the physiological roles of phase separation in the central nervous system and its pathological mechanism in neurodegenerative diseases.

Morphology regulation of conductive metal-organic frameworks in situ grown on graphene oxide for high-performance supercapacitors.

In this work, nickel-catecholate (Ni-CAT) nanorods were in situ compounded on graphene oxide (GO) to form a composite Ni-CAT@GO (NCG) with a special "blanket-shape" structure, which was used as an electrode material for supercapacitors. The morphology of Ni-CATs in situ grown on GO was modulated by introducing various contents of GO. With increasing GO, the length of nanorods of Ni-CATs is obviously shortened, and the charge transfer resistance of NCG is significantly reduced as the GO content is relatively low while it increases with further addition of GO, because excessive GO in NCG results in smaller crystal sizes accompanied by smaller stacking pores. Both the over-long Ni-CAT nanorods and the smaller stacking pores can restrict the accessible surface areas for the electrolyte. Optimal nanorod sizes are crucial to achieve good electrochemical performance for electrode materials. Galvanostatic charge-discharge analysis of NCG electrodes shows that their capacity initially increases and then decreases with the addition of more and more GO, and Ni-CAT@GO-0.5 (NCG0.5) with minimal charge transfer resistance exhibits the best electrochemical performance. The results demonstrate that the NCG0.5 electrode with optimal morphology possesses an excellent capacitance of 563.8 F g-1 at 0.5 A g-1 and a good rate performance of 61.9% at 10 A g-1, indicating that Ni-CAT@GO is a new type of promising electrode material for supercapacitors based on conductive metal-organic frameworks.

Convergent Synthesis of the Nonreducing Hexasaccharide Fragment and the Dodecasaccharide Scaffold of Marine Lipopolysaccharide Axinelloside A.

A convergent synthesis of the dodecasaccharide scaffold of axinelloside A was achieved through Au(I)-catalyzed [6+6] glycosylation. The initially devised [3+1+2] assembly of the nonreducing hexasaccharide fragment was low-yielding, whereas a convergent [3+3] glycosylation under Au(I) catalysis was proven feasible, allowing for a semi-gram scale preparation of the wanted hexasaccharide. The requisite 1,2-cis glycosidic bonds were forged in a highly stereoselective fashion by virtue of remote acetyl group participation, and judicious manipulation of protecting groups. The synthetic dodecasaccharide has been properly protected for the downstream elaboration toward its natural form.

Synthesis of the Reducing-end Hexasaccharide Fragment of Marine Lipopolysaccharide Axinelloside A.

Chemical synthesis of an orthogonally protected hexasaccharide relevant to the reducing-end half of axinelloside A, a highly sulfated marine lipopolysaccharide, is disclosed. The synthesis features preparation of the scyllo-inositol unit via a Ferrier-type-II rearrangement, construction of the 1,2-cis-glycosidic bonds via remote participation, and concise [2+2+2] assembly via Au(I)-catalyzed glycosylation.

Immunomodulatory effect of Myrtenol on benzo (a) pyrene-induced lung cancer in Swiss albino mice via modulation of tumor markers, cytokines and inhibition of PCNA expression.

Lung cancer is one of the most common cancers in men. Although many diagnostic and treatment regimens have been followed in the treatment for lung cancer, increasing mortality rate due to lung cancer is depressing and hence requires alternative plant based therapeutics with with less side-effects. Myrtenol exhibits anti-inflammatory and antioxidant properties. Hence we intended to study the effect of Myrtenol on B(a)P-induced lung cancer. Our study showed that B(a)P lowered hematological count, decreased phagocyte and avidity indices, nitroblue tetrazolium (NBT) reduction, levels of immunoglubulins, antioxidant levels, whereas Myrtenol treatment restored them back to normal levels. On the other hand, xenobiotic and liver dysfunction marker enzymes and pro-inflammatory cytokines were elevated on B(a)P exposure, which retuned back to normal by Myrtenol. This study thus describes the immunomodulatory and antioxidant effects of Myrtenol on B[a]P-induced immune destruction.

Mechanical Thrombectomy in Anticoagulated Patients With Acute Ischemic Stroke: A Meta-Analysis.

BACKGROUND: According to a previous studies, mechanical thrombectomy(MT) is safe for anticoagulated patients. However, the safety and prognosis of direct oral anticoagulants (DOACs) and vitamin K antagonists (VKA) have not been compared with those of MT.This meta-analysis aimed at determining the efficacy of DOACs or VKA for patients after MT. REVIEW SUMMARY: We searched PubMed, Embase, Web of Science databases, and Cochrane from their inception to Aug 2022. Revman 5.3 served for the meta-analysis. The meta-analysis included 12 studies that covered 3571 patients, finding that after MT treatment, DOACs significantly decreased the symptomatic intracerebral hemorrhage [odd ratio (OR)=0.49, 95% CI 0.30-0.80, P=0.004] and mortality (OR=0.63, 95% CI 0.48-0.83, P=0.001) compared with VKA. Meanwhile, no obvious differences were found between DOACs and VKA after MT treatment in terms of in any hemorrhagic transformation (OR=1.07, 95% CI 0.84-1.37, P=0.59), good functional outcome (OR=1.06, 95% CI 0.88-1.27, P=0.53), and successful arterial recanalization (OR=1.24, 95% CI 1.00-1.53, P=0.05). CONCLUSIONS: This meta-analysis demonstrates that the application of DOACs in MT treatment for anticoagulated patients with acute ischemic stroke is safer than that in the VKA group. However, further studies are necessary to confirm these results.

A bibliometric study and visualization analysis of ferroptosis-inducing cancer therapy.

Ferroptosis is a form of regulated cell death that was first formally proposed a decade ago. While its role in cancer cell death was initially understudied, it has recently gained considerable interest from researchers. In recent years, a growing number of studies have focused on the role of ferroptosis in cancer progression, with the goal of developing novel ferroptosis-inducing cancer therapies. This study aims to present the developmental trend and hotspots of research on ferroptosis-inducing cancer therapy using bibliometric analysis. A literature search was conducted using the Web of Science Core Collection on October 1st, 2022, to retrieve articles and reviews pertaining to ferroptosis and cancer published from 2012 to 2022. Microsoft Excel 2016, VOSviewer 1.6.18 and CiteSpace (version 6.1. R6) were utilized to conduct the bibliometric analysis of publication trends, authorship, and citation networks, with a focus on identifying countries, institutions, journals, and authors contributing to the field. These analyses were used to predict future trends in this area. A total of 2839 articles were identified and extracted for analysis. The number of publications has increased almost every year, with a sharp increase after 2018. China produced the most publications in this area, followed by the United States. Central South University was the institution that published the most papers. Frontiers in Oncology was the journal with the highest number of publications, while Cell had the greatest impact factor. Daolin Tang was the most productive author and Dixon SJ was the most influential author. Co-occurrence and burst analyses of keywords and references were conducted to identify the developmental trends and hotspots in ferroptosis-inducing cancer therapy research. Main research directions have shifted from investigating the mechanism of ferroptosis to developing novel ferroptosis-targeting cancer therapies. Emerging topicsfocus on the role of ferroptosis in solid tumor therapy. Based on our bibliometric analysis, we predict that research on ferroptosis in cancer therapy will continue to be a hot topic in the future, with a growing number of treatment modalities related to ferroptosis being developed. Our study provides valuable insights into the current state and future trends of research in this field, serving as a useful guide for researchers seeking to make important contributions in this area.

Knockdown of long non-coding RNA LINC00941 suppressed cell proliferation, colony-formation, and migration of human glioblastoma cell lines.

INTRODUCTION: Glioblastoma (GBM) represents the most common and lethal type of primary brain tumour in adults, and due to its high invasiveness, treatment of GBM remains challenging. This work is aimed to elucidate the role of LINC00941 in GBM. MATERIAL AND METHODS: Expression of LINC00941 in two GBM cell lines U251 and U87-MG was knocked down using siRNA. Cell proliferation and colony-formation ability of LINC00941 knockdown were examined. Apoptosis of the knockdown was evaluated using flow cytometry, with the levels of Bax, Bcl-2, cleaved caspase-3, and phosphorylation of ERK and Akt to be examined using western blotting. Migration and invasion of the knockdown was studied using transwell assays. RESULTS: Expression of LINC00941 was significantly elevated in GBM compared to non-tumour tissues ( p < 0.01). Statistical analysis on the expression data further revealed the negative correlation between LINC00941 and miR-526b-5p ( r = 0.7494, p < 0.001). LINC00941 was successfully knocked down with RNA interference in U251 and U87-MG. The knockdown significantly suppressed cell proliferation and the ability to form colonies. Percentage of apoptotic cells was elevated by the knockdown in both cell lines as evidenced by flow cytometric analysis, which was accompanied by a significant decrease in Bcl-2 and substantial increases in Bax and cleaved caspase-3. Phosphorylation of ERK and Akt was also enhanced in both cell lines by the knockdown. In addition, knockdown of LINC00941 suppressed migration of both cell lines across transwell membrane and matrigel. CONCLUSIONS: LINC00941 is overexpressed in GBM, exhibiting important roles in cell proliferation and survival, migration and invasion.

Impact of salinity on anaerobic ceramic membrane bioreactor for textile wastewater treatment: Process performance, membrane fouling and machine learning models.

Anaerobic membrane bioreactor (AnMBR) shows great potential for textile wastewater treatment, but high salinity in the influent may undermine its performance. This study evaluated the impact of salinity on the treatment performance of an upflow anaerobic sludge blanket (UASB) configured AnMBR using a flat sheet ceramic membrane. The salinity was stepwise increased (0, 5, 10 and 20 g/L) in four phases of the AnMBR operation. Results indicated that increased salinity jeopardized the COD removal efficiency of AnMBR from 92% to 73%, but had a marginal effect on dye removal efficacy (90-96%). Low salinity (5 g/L) boosted the biogas production whilst high salinity (>10 g/L) had a negative impact. Additionally, the increase of salinity resulted in the soluble microbial production (SMP) concentration soar and membrane fouling rate increase, peaking at a salinity of 10 g/L (Phase III) and recovering back to a lower level at a salinity of 20 g/L (Phase IV). This indicated a transition occurrence at a salinity of 10 g/L (Phase III). The microbial diversity analyses further suggested a transition from salinity-sensitive microbes (Aminiphilus, Caldatribacterium, Mesotoga, Methanobrevibacter, Methanobacterium, Methanosaeta) to salinity-tolerant microbes (Longilinea, Ignavibacterium, Rhodovarius, Bosea and Flexilinea). This transition can be associated with the increase SMP concentration and more severe membrane fouling in Phase III, which were mitigated after a new equilibrium was reached when the microbial consortium acclimatized to the high salinity. Finally, a machine learning model of the Adaboost algorithm was established to predict COD removal under different salinities. Importantly, this study revealed that AnMBR process performance and membrane operation can be maintained for high salinity textile wastewater treatment with a halophilic microbial community growth under high-salinity selection pressure.

Risk factors associated with the prevalence of neck and shoulder pain among high school students: a cross-sectional survey in China.

BACKGROUND: After the COVID-19 outbreak, many Chinese high school students have increased their dependence on electronic devices for studying and life, which may affect the incidence of neck and shoulder pain (NSP) in Chinese adolescents. METHODS: To evaluate the prevalence of NSP in high school students and its associated risk factors during COVID-19, a survey was conducted among 5,046 high school students in Shanghai, Qinghai, Henan and Macao during the second semester and summer vacation of the 2019-2020 academic year. The questionnaire included questions regarding demographic characteristics, the prevalence of NSP and lifestyle factors such as sedentary behavior, poor posture and electronic device usage. Univariable and multivariable logistic regression was used to analyze the possible influencing factors for neck and shoulder pain. RESULTS: A total of 4793 valid questionnaires (95.0%) were collected. The results indicated that the prevalence of NSP was 23.7% among high school students. Binary logistic regression analysis revealed that female gender (P < 0.05, OR = 1.82), grade (P < 0.05, range OR 1.40-1.51) and subject selection (P < 0.05, range OR 0.49-0.68) were risk factors for NSP in high school students. Sedentary behavior (P < 0.05, range OR 1.74-2.36), poor posture (P < 0.05, range OR 1.19-2.56), backpack weight (P < 0.05, range OR 1.17-1.88), exercise style and frequency (P < 0.05, range OR 1.18-1.31; P < 0.05, range OR 0.76-0.79, respectively), and the time spent using electronic devices (P < 0.05, range OR 1.23-1.38)had a significant correlation with NSP in high school students. CONCLUSIONS: NSP is currently very common among high school students during the outbreak of COVID-19. Sedentary behavior, poor posture and other factors have a great impact on the occurrence of NSP in high school students. Education regarding healthy lifestyle choices should be advocated for to decrease NSP among high school students, such as more physical activity, changing poor postures and reducing the amount of time spent using electronic devices.

Research on rainy day traffic sign recognition algorithm based on PMRNet.

The recognition of traffic signs is of great significance to intelligent driving and traffic systems. Most current traffic sign recognition algorithms do not consider the impact of rainy weather. The rain marks will obscure the recognition target in the image, which will lead to the performance degradation of the algorithm, a problem that has yet to be solved. In order to improve the accuracy of traffic sign recognition in rainy weather, we propose a rainy traffic sign recognition algorithm. The algorithm in this paper includes two modules. First, we propose an image deraining algorithm based on the Progressive multi-scale residual network (PMRNet), which uses a multi-scale residual structure to extract features of different scales, so as to improve the utilization rate of the algorithm for information, combined with the Convolutional long-short term memory (ConvLSTM) network to enhance the algorithm's ability to extract rain mark features. Second, we use the CoT-YOLOv5 algorithm to recognize traffic signs on the recovered images. In this paper, in order to improve the performance of YOLOv5 (You-Only-Look-Once, YOLO), the 3 × 3 convolution in the feature extraction module is replaced by the Contextual Transformer (CoT) module to make up for the lack of global modeling capability of Convolutional Neural Network (CNN), thus improving the recognition accuracy. The experimental results show that the deraining algorithm based on PMRNet can effectively remove rain marks, and the evaluation indicators Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) are better than the other representative algorithms. The mean Average Precision (mAP) of the CoT-YOLOv5 algorithm on the TT100k datasets reaches 92.1%, which is 5% higher than the original YOLOv5.

Photon blockade in the Jaynes-Cummings model with two-photon dissipation.

We propose a scheme to generate a single-photon source based on photon blockade in the Jaynes-Cummings (J-C) model with a two-photon dissipation (TPD) process. We present the optimal conditions for conventional/unconventional photon blockade via the wave function method with an effective Hamiltonian involving TPD. The results show that the second-order correlation function for the J-C model with TPD is considerably less than that of the J-C model with single-photon dissipation. Additionally, the average photon number can reach 0.5 in the large atomic detuning regime. This feature makes the J-C model with TPD a high-quality single photon source.

Efficient Pooling Operator for 3D Morphable Models.

Learning the latent representation of three-dimensional (3D) morphable geometry is useful for several tasks, such as 3D face tracking, human motion analysis, and character generation and animation. For unstructured surface meshes, previous state-of-the-art methods focus on designing convolution operators and share the same pooling and unpooling operations to encode neighborhood information. Previous models use a mesh pooling operation based on edge contraction, which is based on the Euclidean distance of vertices rather than the actual topology. In this study, we investigated whether such a pooling operation can be improved, introducing an improved pooling layer that combines the vertex normals and adjacent faces area. Furthermore, to prevent template overfitting, we increased the receptive field and improved low-resolution projection in the unpooling stage. This increase did not affect processing efficiency because the operation was implemented once on the mesh. We performed experiments to evaluate the proposed method, whose results indicated that the proposed operations outperformed Neural3DMM with 14% lower reconstruction errors and outperformed CoMA by 15% by modifying the pooling and unpooling matrices.

Retrospective Analysis of Postoperative Effect of Supratubal Recess Opened and Bony Obliteration Tympanoplasty.

BACKGROUND: In the surgical development of cholesteatoma, in order to reduce the recurrence of cholesteatoma, 2 kinds of surgeries were carried out: removal of Cog and Korner's septum to ventilate supratubal recess (supratubal recess opened) and obliteration of the mastoid and attic space (bony obliteration tympanoplasty) were invented, respectively. Their purpose is the same but the theoretical basis is different, and the comparison of these 2 methods is not reported in the current literature. This study aims to evaluate the rates of recurrent and residual cholesteatoma with the simple canal wall up and canal wall up-supratubal recess opened and canal wall up-bony obliteration tympanoplasty mastoidectomy in a large cohort of patients. The secondary objectives were to assess the 3 techniques' infection rates and hearing outcomes. METHODS: Overall, 352 patients with middle ear cholesteatoma preoperatively underwent temporal bone ultrahigh-resolution computed tomography scan. The shape of the Eustachian tube and the supratubal recess were analyzed, and superior and posterior tympanic recesses, including the supratubal recess, were opened in different surgical groups. RESULTS: After 5 years of follow-up, the results show that the lowest recurrence rate was 6.6% (7/106) for canal wall up-supratubal recess opened, 10.9% (12/101) for canal wall up-bony obliteration tympanoplasty, and canal wall up had the highest recurrence rate of 19.31% (28/145). The postoperative infection rate was 5.7% in the canal wall up-supratubal recess opened group, 10.89% in the canal wall up-bony obliteration tympanoplasty group, and 7.59% in the simple canal wall up group. The postoperative median air conduction was increased 8 dB in the canal wall up-supratubal recess opened group, 1 dB in the canal wall up-bony obliteration tympanoplasty, and 6 dB in the simple canal wall up group. CONCLUSION: Opening the supratubal recess to ensure the patency of the attic facilitates the gas exchange between the mastoid process and the middle ear and reduces the possibility of cholesteatoma recurrence.

Negative electrodes for supercapacitors with good performance using conductive bismuth-catecholate metal-organic frameworks.

Metal-organic frameworks (MOFs) have attracted increasing research interest in various fields. Unfortunately, the poor conductivity of most traditional MOFs considerably hinders their application in energy storage. Benefiting from the full charge delocalization in the atomic plane, two-dimensional conductive coordination frameworks achieve good electrochemical performance. In this work, π-π coupling conductive bismuth-catecholate nanobelts with tunable lengths, Bi(HHTP) (HHTP = 2,3,6,7,10,11-hexahydroxytriphenylene), are synthesized by a simple hydrothermal reaction and their length-dependent electrochemical properties are also investigated. The Bi(HHTP) nanobelts (about 10 µm in length) possess appropriate porosity, numerous redox active sites and good electrical conductivity. Being a negative electrode for supercapacitors, Bi(HHTP) nanobelts display a high specific capacitance of 234.0 F g-1 and good cycling stability of 72% after 1000 cycles. Furthermore, the mechanism of charge storage is interpreted for both battery-type and surface-capacitive behavior. It is believed that the results of this work will help to develop battery-type negative electrode materials with promising electrochemical performance using some newly designed π-π coupling conductive coordination frameworks.

Long non-coding RNA-LINC00941 promotes the proliferation and invasiveness of glioma cells.

Glioma is one of the most common intracranial malignant tumors worldwide, accounting for 30%-40% of primary brain tumors. Long non-coding RNAs (lncRNAs) have been implicated in cancer malignant progression. Glioma is classified into multiple subtypes, but lncRNA expression pattern in different subtypes are not fully described. Here, we reported that lncRNA-LINC00941 was highly expressed in all glioma subtypes. Overexpression of lncRNA-LINC00941 in U87 cells promoted cellular proliferation and invasiveness, and suppressed apoptosis. Our findings suggest that lncRNA-LINC00941 may function as an oncogenic factor in glioma, and targeting lncRNA-LINC00941 could be developed into a strategy for glioma management.

HDAC3 Contributes to Ischemic Stroke by Regulating Interferon Pathway.

BACKGROUND: The inflammation and immune response contribute to ischemic stroke pathology. Damaged brain cells release inflammatory substances to activate the immune system in the acute phase of stroke, including altering the interferon signaling pathway. However, the involvement of histone deacetylation in stroke remains unclear. METHODS: To investigate whether histone deacetylation modulation could regulate the interferon signaling pathway and mediate the pathogenic changes after stroke, the middle cerebral artery occlusion (MCAO) mouse model was treated with histone deacetylase 3 (HDAC3) inhibitor and RGFP966. Additionally, a series of approaches, including middle cerebral artery occlusion (MCAO), real-time polymerase chain reaction (PCR), western blot, 2,3,5-triphenyltetrazolium chloride (TTC) staining, behavioral experiments, and confocal imaging were utilized. RESULTS: It is observed that RGFP966 pretreatment could lead to better outcomes in the MCAO mouse model, including the decrease of infarction volumes, the amelioration of post-stroke anxiety-like behavior, and the relief of inflammatory responses. Furthermore, we found that RGFP966 could counteract the hyperactivation of the interferon signaling pathway and the excessive expression of Z-DNA Binding Protein 1 (ZBP1) in microglia. CONCLUSIONS: We demonstrated a novel mechanism that HDAC3 inhibition could ameliorate the pathological injury after ischemic stroke by downregulating the ZBP1/phosphorylated Interferon Regulatory Factor 3 (p-IRF3) pathway. Thus, these data provide a new promising target for therapies for ischemic stroke.