Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

A method for determination and targeted screening of diflorasone components in health products using ultra performance liquid chromatography-quadrupole time of flight mass spectrometry(UPLC-Q-TOF/MS)was established.Four representative diflorasone and esters(diflorasone,diflorasone diacetate,diflorasone-17-propionate,and diflorasone-21-propionate)were selected to optimize the pretreatment conditions,and 10 mL of extraction solvent dosage,15 min of extraction time and 5 g of salting-out agent as the optimal conditions were selected by response surface methodology.The results showed that the four analytes exhibited good linearity within the concentration range of 2.0?100 μg/L with the chromatographic peak area,and the correlation coefficients(R2)were all greater than 0.9990,while the results of recovery and relative standard deviation could satisfy the requirements of determination.The common characteristic ions of diflorasone and esters werem/z121 andm/z335,and their specific structures were obtained by analyzing the cleavage pathway based on the optimized determination conditions.A targeted screening method for other esters of diflorasone based on characteristic ions guidance strategy was established.This method had many advantages such as high efficiency,high sensitivity and good reproducibility,and could be used for targeted screening of diflorasone and esters in health products.The developed characteristic ion guided strategy could be employed to construct mass spectral databases for various glucocorticoids,enabling comprehensive targeted screening across a broad range of compounds.

Streptococcus equinus is a zoonotic disease that can cause illness in various animals under specific environmental condi-tions.No reports have described isolation of this bacterium from the liver in affected sheep.This study successfully isolated and identi-fied a strain of Streptococcus equinus through bacterial isolation and culture,Gram staining,drug sensitivity testing,mouse sensitivity testing,bacterial biochemical testing,and whole genome sequencing.The strain was found to have pathogenicity toward Kunming white mice,and to be sensitive to four antibiotics(penicillin,ampicillin,ceftiofur sodium,and ceftriaxone sodium)but resistant to four antibiotics(streptomycin,amoxicillin,tetracycline,and gentamicin).On the basis of drug sensitivity testing,targeted treatment of the affected sheep flock with ceftiofur sodium effectively controlled the disease within 2 days,and no new cases occurred.This study provides a reference for biological characterization of ovine Streptococcus equinus;public health;and the investigation of disease pre-vention,control,and epidemiology.

The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry* ; Animals ; Mice ; Berberis/chemistry* ; RAW 264.7 Cells ; Macrophages/immunology* ; Drugs, Chinese Herbal/isolation & purification* ; Nitric Oxide/metabolism* ; Molecular Structure ; Anti-Inflammatory Agents/isolation & purification*

To improve the quality evaluation system of Hibisci Mutabilis Folium, this study established high performance liquid chromatography(HPLC) fingerprints of Hibisci Mutabilis Folium and evaluated the quality differences of medicinal materials from different places of production by chemometrics. Furthermore, a content measurement method of differential components was established based on quantitative analysis of multi-components by single-marker(QAMS). The fingerprints of 17 batches of Hibisci Mutabilis Folium from different places of production were constructed, with a total of 19 common peaks marked and seven components confirmed. The similarity between the sample fingerprints and the reference fingerprints ranged from 0.890 to 0.974. By utilizing principal component analysis(PCA), hierarchical cluster analysis(HCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA), the chemical patterns of fingerprints were identified. Five components that could be used to evaluate the quality differences of Hibisci Mutabilis Folium were screened, namely peak 6(quercetin 3-O-β-robinobioside), peak 7(rutin), peak 9(kaempferol-3-O-β-robinobioside), peak 10(kaempferol-3-O-rutinoside), and peak 14(tiliroside). The relative correction factors of isoquercitrin, kaempferol-3-O-β-robinobioside, kaempferol-3-O-rutinoside, kaempferol-3-O-β-D-glucoside, and tiliroside were measured with rutin as the internal reference. The QAMS method was established for the content measurement of six flavonoids, and the results showed there was no significant difference compared to the results obtained by an external standard method. In summary, the HPLC fingerprints and QAMS method established in the study, demonstrating stability and accuracy, can provide a reference for the overall quality evaluation of Hibisci Mutabilis Folium.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Principal Component Analysis

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

Streptococcus equinus is a zoonotic disease that can cause illness in various animals under specific environmental condi-tions.No reports have described isolation of this bacterium from the liver in affected sheep.This study successfully isolated and identi-fied a strain of Streptococcus equinus through bacterial isolation and culture,Gram staining,drug sensitivity testing,mouse sensitivity testing,bacterial biochemical testing,and whole genome sequencing.The strain was found to have pathogenicity toward Kunming white mice,and to be sensitive to four antibiotics(penicillin,ampicillin,ceftiofur sodium,and ceftriaxone sodium)but resistant to four antibiotics(streptomycin,amoxicillin,tetracycline,and gentamicin).On the basis of drug sensitivity testing,targeted treatment of the affected sheep flock with ceftiofur sodium effectively controlled the disease within 2 days,and no new cases occurred.This study provides a reference for biological characterization of ovine Streptococcus equinus;public health;and the investigation of disease pre-vention,control,and epidemiology.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.