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.

ObjectiveTo investigate the mechanism of Tangbikang dry paste in the prevention and treatment of type 2 diabetic peripheral neuropathy （DPN） based on the glyoxalase-1 （GLO-1）/advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） pathway. MethodsA total of 56 Sprague-Dawley rats were randomly divided， with eight assigned to the normal group. The remaining 48 rats were fed a high-fat diet combined with intraperitoneal injection of streptozotocin （STZ） to induce a type 2 diabetes mellitus （T2DM） model. Based on blood glucose levels， the rats were randomly assigned to the model group， Tanglin group （13.5 mg·kg^-1）， metformin group （135 mg·kg^-1）， and Tangbikang dry paste low-， medium-， and high-dose groups （3， 6， 12 g·kg^-1）. Successful modeling of DPN was confirmed by a decrease in mechanical pain threshold in the model group at week 4. Fasting blood glucose， body weight， and mechanical pain threshold were measured every 4 weeks. After 16 weeks of intervention， the pathological morphology of the sciatic nerve was observed using hematoxylin-eosin （HE） staining. The expression of RAGE， AGE， protein kinase C （PKC）， and collagen （COL） in the sciatic nerve was assessed by immunohistochemistry. The mRNA expression of RAGE， PKC， Toll-like receptor （TLR）， COL， and GLO-1 was detected using real-time quantitative PCR （Real-time PCR）. Serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， creatinine （CREA）， urea （UREA）， interleukin-6 （IL-6）， and tumor necrosis factor （TNF）-α were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the normal group， the model group showed significantly increased fasting blood glucose （P<0.01）， decreased body weight and mechanical pain threshold （P<0.01）， and elevated serum AST， ALT， CREA， UREA， IL-6， and TNF-α levels （P<0.01）. The expression of RAGE， AGE， and PKC in the sciatic nerve was significantly increased （P<0.01）， while COL expression was decreased （P<0.01）. The mRNA expression of TLR， RAGE， and PKC was upregulated （P<0.01）， whereas COL and GLO-1 mRNA levels were downregulated （P<0.01）. Histological examination showed irregular nerve morphology， axonal alterations， and myelin degeneration. Compared with the model group， fasting blood glucose levels in the Tangbikang dry paste high-dose group at all time points and in the medium-dose group at weeks 4 and 16 were significantly reduced （P<0.05， P<0.01）. No significant changes in body weight were observed across all Tangbikang dose groups. The mechanical pain threshold was elevated at different time points after administration in all Tangbikang groups （P<0.05， P<0.01）. Serum IL-6 and TNF-α levels were decreased in all dose groups （P<0.05， P<0.01）. The expression of RAGE， AGE， and PKC in the sciatic nerve was reduced （P<0.01）， while COL expression was increased （P<0.01）. The mRNA expression of TLR， RAGE， and PKC was downregulated （P<0.01）， whereas GLO-1 mRNA expression was upregulated （P<0.05， P<0.01）. Additionally， COL mRNA expression was significantly increased in the low- and high-dose groups （P<0.01）. Pathological changes in the sciatic nerve were milder in all Tangbikang groups compared to the model group. ConclusionTangbikang dry paste significantly improves DPN， and its mechanism may be associated with the regulation of the GLO-1/AGE/RAGE signaling pathway.

ObjectiveTo investigate the mechanism of Tangbikang dry paste in the prevention and treatment of type 2 diabetic peripheral neuropathy （DPN） based on the glyoxalase-1 （GLO-1）/advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） pathway. MethodsA total of 56 Sprague-Dawley rats were randomly divided， with eight assigned to the normal group. The remaining 48 rats were fed a high-fat diet combined with intraperitoneal injection of streptozotocin （STZ） to induce a type 2 diabetes mellitus （T2DM） model. Based on blood glucose levels， the rats were randomly assigned to the model group， Tanglin group （13.5 mg·kg^-1）， metformin group （135 mg·kg^-1）， and Tangbikang dry paste low-， medium-， and high-dose groups （3， 6， 12 g·kg^-1）. Successful modeling of DPN was confirmed by a decrease in mechanical pain threshold in the model group at week 4. Fasting blood glucose， body weight， and mechanical pain threshold were measured every 4 weeks. After 16 weeks of intervention， the pathological morphology of the sciatic nerve was observed using hematoxylin-eosin （HE） staining. The expression of RAGE， AGE， protein kinase C （PKC）， and collagen （COL） in the sciatic nerve was assessed by immunohistochemistry. The mRNA expression of RAGE， PKC， Toll-like receptor （TLR）， COL， and GLO-1 was detected using real-time quantitative PCR （Real-time PCR）. Serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， creatinine （CREA）， urea （UREA）， interleukin-6 （IL-6）， and tumor necrosis factor （TNF）-α were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the normal group， the model group showed significantly increased fasting blood glucose （P<0.01）， decreased body weight and mechanical pain threshold （P<0.01）， and elevated serum AST， ALT， CREA， UREA， IL-6， and TNF-α levels （P<0.01）. The expression of RAGE， AGE， and PKC in the sciatic nerve was significantly increased （P<0.01）， while COL expression was decreased （P<0.01）. The mRNA expression of TLR， RAGE， and PKC was upregulated （P<0.01）， whereas COL and GLO-1 mRNA levels were downregulated （P<0.01）. Histological examination showed irregular nerve morphology， axonal alterations， and myelin degeneration. Compared with the model group， fasting blood glucose levels in the Tangbikang dry paste high-dose group at all time points and in the medium-dose group at weeks 4 and 16 were significantly reduced （P<0.05， P<0.01）. No significant changes in body weight were observed across all Tangbikang dose groups. The mechanical pain threshold was elevated at different time points after administration in all Tangbikang groups （P<0.05， P<0.01）. Serum IL-6 and TNF-α levels were decreased in all dose groups （P<0.05， P<0.01）. The expression of RAGE， AGE， and PKC in the sciatic nerve was reduced （P<0.01）， while COL expression was increased （P<0.01）. The mRNA expression of TLR， RAGE， and PKC was downregulated （P<0.01）， whereas GLO-1 mRNA expression was upregulated （P<0.05， P<0.01）. Additionally， COL mRNA expression was significantly increased in the low- and high-dose groups （P<0.01）. Pathological changes in the sciatic nerve were milder in all Tangbikang groups compared to the model group. ConclusionTangbikang dry paste significantly improves DPN， and its mechanism may be associated with the regulation of the GLO-1/AGE/RAGE signaling pathway.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

Objective To explore clinical effect of accessory scaphoid bone fusion in treating type Ⅱ painful accessory scaphoid bone.Methods A retrospective analysis was performed on 26 patients with type Ⅱ painful accessory navicular bone treated by accessory navicular bone fusion from January 2012 to June 2022,including 1 male and 25 females,aged from 18 to 70 years old with an average of(44.61±16.32)years old;10 patients with type Ⅱ A and 16 patients with type Ⅱ B;20 patients with simple fusion and 6 patients with fusion plus calcaneal translocation osteotomy.Changes of Meary angle,Pitch angle,an-teroposterior talar-first metatarsal angle(T1MA),talonavicular coverage angle(TCA),lateral talocalcaneal angle(LTCA)be-fore operation and 6 months after operation were observed and compared,and American Orthopedic Foot and Ankle Society(AOFAS)foot and ankle score and visual analogue scale(VAS)were used to explore clinical effect.Results All 26 patients were followed up for 7 to 24 months with an average of(10.72±3.94)months.Meary angle,Pitch angle,T1MA,TCA and LTCA were improved from(9.20±2.57)°,(16.45±3.57)°,(33.34±5.02)°,(22.42±5.86)°,(48.89±4.43)° before opertaion to(3.33±1.06)°,(22.33±4.56)°,(23.89±3.48)°,(11.83±2.67)°,(36.50±3.50)° at 6 months after operation,the difference were statistically significant(P＜0.01).Postoperative AOFAS foot and ankle score were(86.24±4.33)and(93.18±6.02)for type Ⅱ A and type Ⅱ B at 6 months,which were significantly improved compared with those for type Ⅱ A and type Ⅱ B before op-eration(67.34±6.55)and(65.12±9.51),and the difference was statistically significant(P＜0.01);20 patients got excellent re-sult,5 good and 1 poor.Preoperative VAS of type ⅡA(5.67±1.58)and type Ⅱ B(5.77±1.49)were improved to(2.13±1.01)and(1.43±0.68)at 6 months after operation,with statistical significance(P＜0.01).Conclusion Fusion of accessory navicular bone in patients with type Ⅱ painful accessory navicular bone combined with internal calcaneal osteotomy in patients with par-tial calcaneal valvaration could effectively correct flat foot deformity and relieve pain,and could be used as a clinical treatment for painful accessory navicular bone.

Objective To explore the protective effect and related mechanism of Compound Baimai Powder(CBMP,a compound description of Mongolian medicine)on astrocytes after oxygen glu-cose deprivation and reoxygenation(OGD/R)injury.Methods Astrocyte model of OGD/R injury was subjected to simulate in vitro cerebral ischemia/reperfusion injury.Cultured astrocytes were randomly divided into normal group,OGD/R group,OGD/R+nimodipine group(10 μmol/L),OGD/R+low-and high-dose CBMP groups(25,50 μmol/L).Cell viability and apoptosis were de-tected with CCK-8 assay and flow cytometry,respectively.Western blotting was used to measure the expression levels of the proteins related to the nuclear factor erythroid-2-related factor-2(NRF2)/antioxidant response element and Janus kinase(J AK)/signal transducer and activator of transcription(STAT)signaling pathways.ELISA was employed to examine the levels of inflam-matory factors IL-1β,IL-6,and TNF-α,as well as oxidative stress molecules ROS,GSH,MDA and SOD.Results Compared to the normal group,the OGD/R group showed significant decreases in cell viability,NRF2 protein level,and SOD and GSH activities(P＜0.05,P＜0.01),and obvious increases in p-JAK and p-STAT proteins levels,contents of IL-1β,IL-6 and TNF-α,and ROS and MDA levels(P＜0.05,P＜0.01).High-dose CBMP treatment resulted in notably elevated cell via-bility and NRF2 protein level,while reduced levels of p-JAK[(1.20±0.20)vs(2.50±0.26)]and p-STAT[(1.15±0.25)vs(2.10±0.21)]proteins,IL-6[(30.33±5.20)vs(180.35±18.50)]and TNF-α[(50.12±8.24)vs(160.45±15.20)]when compared to the OGD/R group(P＜0.05,P＜0.01).Conclusion CBMP exerts protective effect on astrocytes against OGD/R injury.

Objective To explore the correlation between psoas major index(PMI)in patients with diffuse large B-cell lymphoma(DLBCL)and prognosis after rituximab,cyclophosphamide,doxorubicin,vincristine,prednisone(R-CHOP)chemotherapy.Methods Totally 148 DLBCL patients who received R-CHOP chemotherapy were retrospectively enrolled.Based on axis CT image at L3 vertebral transverse process,bilateral psoas muscles were delineated,and PMI was calculated.Then the patients were divided into muscle reduction group(≤lower quartile,n=37)and control group(＞lower quartile,n=111)according to the lower quartile of PMI.Clinical and imaging data were compared between groups,and the correlations of PMI with the above indexes were analyzed.The impact factors of prognosis of DLBCL were observed.Results Significant differences of body mass index(BMI),Eastern Cooperative Oncology Group(ECOG)score,international prognostic index(IPI),the proportion of B symptoms,mortality rate,3-year survival rate,β2-microglobulin,hemoglobin,albumin and PMI were found between groups(all P＜0.05).PMI of DLBCL patient was negatively correlated with age,ECOG score,IPI,β2-microglobulin and lactate dehydrogenase(LDH)(r=—0.126,-0.225,—0.262,—0.232,—0.229,all P＜0.05),but positively correlated with BMI and hemoglobin(r=0.282,0.376,both P＜0.05).The age,ECOG score,IPI and PMI were all independent impact factors of overall survival in DLBCL patients(all P＜0.05).Conclusion PMI was an independent impact factor of prognosis of DLBCL after R-CHOP chemotherapy.

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective:Based on the background of high-quality development,we analyze the operational efficiency of traditional Chinese medicine(TCM)hospitals in China's Yangtze River Economic Belt in 2021 and explore the impact of external environmental factors on operational efficiency,so as to provide a reference for promoting the high-quality development of TCM hospitals in the Yangtze River Economic Belt.Methods:The three-stage DEA model was used to analyze the operational efficiency of TCM hospitals in 11 provinces and cities in the Yangtze River Economic Zone in China in 2021.Results:After three-stage DEA analysis,the values of comprehensive efficiency,pure technical efficiency and scale efficiency of TCM hospitals in China's Yangtze River Economic Belt are 0.976,0.986 and 0.990,respectively.5 provinces and cities,Shanghai,Jiangsu,Hunan,Chongqing and Guizhou,are efficient before and after the adjustment,and the comprehensive efficiency of Zhejiang,Anhui,Hubei,Jiangxi,Sichuan and Yunnan have increased compared with that before the adjustment.Ranking of the average value of the comprehensive efficiency of TCM hospitals operation in the three major city clusters of the Yangtze River Economic Belt after adjustment:Chengdu-Chongqing city cluster(0.998)>city cluster in the Yangtze River Delta(0.964)>city cluster in the middle reaches of the Yangtze River(0.962).Conclusion:The operational efficiency of TCM hospitals in the Yangtze River Economic Zone has been underestimated,and the comprehensive efficiency is mainly affected by scale efficiency;there are differences in the operational efficiency of TCM hospitals in the three major urban agglomerations,and balanced development is needed between regions;the operational efficiency of TCM hospitals is affected by the external environment,and it is necessary to improve the external environment;it is necessary to strengthen the construction of digital and informatization of TCM,and to pay attention to the role of talents in TCM,so as to promote the high-quality development of TCM hospitals.

Icaritin(ICT)is an 8-isopentenylflavonoid,which is the main effective component of the tra-ditional Chinese medicine Epimedium.Previously,we found that Icaritin inhibits the growth of glioblasto-ma(GBM)cells.Herein we aim to study the in vivo anti-GBM effectiveness of Icaritin and explore its mechanism.The results of MTT assay,flow cytometry,comet assay and cellular immunofluorescence as-say in vitro showed that ICT inhibited the proliferation of four kinds of GBM cells,U87,U251,U118 and A172,induced early apoptosis(P＜0.001)and late apoptosis(P＜0.05)in U87 cells,induced DNA damage in U87 cells,and blocked the growth of U87 cells at the G0/G1 phase(P＜0.0001)in a concen-tration-time-dependent manner.In vivo subcutaneous tumor transplantation tumor experiments showed that feeding 200 mg/kg(P＜0.01)and 400 mg/kg(P＜0.001)ICT had a significant inhibitory effect on the growth of GBM subcutaneous tumors,and had no significant toxic effects on heart,liver,spleen,lung and kidney tissues.The results of network pharmacological analysis,molecular docking and cellular thermodynamic experiments showed that there were 26 possible target proteins between ICT and GBM,a-mong which the expression of p53 in GBM tissues was significantly(P＜0.001)higher than in normal tis-sues,and the binding energy of ICT and p53 was lower;cellular thermodynamic experiments verified that ICT significantly enriched the level of p53 in the living cells of GBM,which indicated that ICT could tar-get p53.The expression of key proteins in the DNA damage repair and apoptosis-associated FOXO signa-ling pathway was detected by ICT.The results showed that the expression of ATR(P＜0.01),P53(P＜0.001),P21(P＜0.05)and γ-H2AX(P＜0.05)was up-regulated,whereas the expression of Cyc-lin E1(P＜0.01),E2F1(P＜0.05),CDK2(P＜0.01),Rb(P＜0.001),p-Rb(P＜0.0001)and WRN(P＜0.0001)expression were down-regulated.There was no significant change in the expres-sion of FOXO 1 in the FOXO pathway or a significant down-regulation of its phosphorylation level.This study demonstrated that ICT could effectively inhibit the growth of GBM cells in vivo.It targets p53 to regulate the DNA damage repair pathway and FOXO signaling pathway to induce GBM cell cycle arrest and apoptosis.