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.

Deficient mismatch repair/microsatellite instability-high (dMMR/MSI-H) metastatic colorectal cancer (CRC) is highly sensitive to immune checkpoint inhibitors due to the high tumor mutation load and neoantigen enrichment. However, 45%-60% of patients exhibit primary or acquired immunotherapy resistance. The mechanisms underlying this resistance are complex, involving tumor microenvironment heterogeneity, co-expression of multiple immune checkpoints, aberrant activation of oncogenic pathways, metabolic dysregulation, intestinal microbiota imbalance, HLA-Ⅰ molecule defects, and epigenetic regulation. Current strategies aimed at reversing immunotherapy resistance include combination immunotherapies, personalized neoantigen vaccines, intestinal microbiota transplantation, epigenetic interventions, and adoptive immune cell therapies. Further analysis of the potential mechanisms of immune therapy resistance in dMMR/MSI-H metastatic CRC, and the exploration of current strategies to overcome resistance can provide a theoretical basis for reversing the immunotherapy resistance in such patients.

Objective To explore the validity and feasibility of the left transthoracic and esophageal hiatal approach for Siewert type Ⅱ adenocarcinoma of the esophagogastric junction under a single position.Methods The clinical data of 64 patients with Siewert type Ⅱ AEG(single position transthoracic approach group)treated with the left transthoracic and esophageal hiatal approach under a single position and 56 patients with the laparoscopic transesophageal slit approach(transabdominal approach group)in the Department of Thoracic Surgery,Huaihe Hospital of Henan University,from January 2017 to December 2018 were retrospectively analyzed.The clinical and pathological data,perioperative indicators(operation time,intraoperative blood loss,postoperative first ambulation time,postoperative first peristalsis time,postoperative drainage volume at 3 d,incidence of postoperative complications,postoperative hospital stay),postoperative complications(positive surgical margin,proximal esophageal resection margin,tumor diameter,total number of dissected lymph nodes,positive lymph node dissection rate,postoperative histopathology,and TNM staging of tumor pathology),and survival indicators(tumor recurrence and metastasis rate and survival at 1 month,3 months,6 months,1 year,3 years,5 years after surgery)were compared between the two groups.Kaplan-Meier method was used to analyze the postoperative survival rate of the two groups.Univariate analysis using χ2 test was employed to analyze factors influencing 5-year postoperative survival rate in Siewert type Ⅱ AEG patients.Results No significant difference was observed in clinical and pathological data,such as gender,age,American Society of Anesthesiologists(ASA)grade,tumor differentiation,pTNM stage,and tumor diameter between the two groups(P>0.05).No significant differences were noted in intraoperative blood loss,incidence of postoperative complications,and survival rates at 1 month,3 months,6 months,1 year,and 3 years after surgery between the two groups(P>0.05).The single position transthoracic approach group exhibited a higher postoperative drainage volume at 3 d compared to the transabdominal approach group(P<0.001),a shorter surgical time(P<0.001),a longer time to first mobilization,first intestinal peristalsis,and hospital stay after surgery(P<0.01),a longer proximal esophageal margin(P<0.001),a higher total number of lymph node dissections(P<0.001),and a higher positive lymph node dissection rate(P<0.05)than the transabdominal approach group.The 5-year recurrence-free survival rate of the single position transthoracic approach group was higher than that of the transabdominal approach group,with a statistically significant difference(P=0.013).The Kaplan-Meier survival curve showed no statistically significant difference in the 5-year overall survival rate between the two groups of patients after surgery(P=0.456).The results of univariate analysis indicated that there are significant relationships between tumor differentiation degree,pTNM stage,tumor diameter,and lymph node positivity rate with the 5-year postoperative survival rate in Siewert type Ⅱ AEG patients(P<0.05).Conclusion Siewert type Ⅱ AEG patients can be treated with the left transthoracic and esophageal hiatal approach under a single position,achieving the same effect as laparoscopic transesophageal slit approach,and it can be actively promoted as a complementary choice of operation in the clinic.

Objective To observe the difference of bone micro-structure in different regions of proximal femur,micro-CT scanning was performed on 30 proximal femur specimens to explain the mechanism of proximal femur fracture and to provide anatomical basis for prosthesis design.Methods Totally 30 intact proximal femur specimens were obtained from 60-80 year-old cadavers.Micro-CT scanning was used to measure the trabecular thickness(Tb.Th),trabecular number(Tb.N),trabecular space(Tb.Sp),connectivity(Conn)and bone mineral density(BMD)and other parameters in 7 regions of proximal femur,including proximal pressure trabecular(PPT),distal pressure trabecular(DPT),femoral head-neck junction(FHNJ),head and neck of femoral neck(HNFN),the base of femoral neck(BPFN),intertrochanteric line(IL)and greater trochanter(GT).Results The bone mineral density of IL and GT were higher than those of BPFN,FHNJ,DPT and PPT.The trabecular thickness of GT was the largest,followed by IL,BPFN and HNFN,and the smallest was FHNJ,DPT and PPT.The trabecular space of IL was larger than that of GT,and the data of both were larger than those of other parts,among which DPT and PPT were the smallest.The trabecular number of IL and GT were the smallest,BPFN,HNFN and FHNJ were larger,and DPT was the largest.The volume fraction of IL was the smallest,BPFN and HNFN were larger,DPT and PPT were the largest.Conclusion The bone density,trabecular thickness,bone volume,and total volume of GT and IL in the proximal femur of elderly patients are all relatively large,so the reason for the high incidence of fractures is not due to weak internal bone microstructure;The bone density,trabecular thickness,and trabecular gap at the proximal and distal ends of the vertical trabecular bone are relatively small.If it is necessary to perform core decompression for prosthesis filling at this location,the design should be conducive to the mechanical conduction of the prosthesis and the regeneration of surrounding bone tissue.

Aim To investigate the regulatory mecha-nisms of donepezil on the expression and enzymatic ac-tivity of cytochrome P450 3A4(CYP3A4),elucidate the synergistic impact of hypoxia on CYP3A4 function,and reveal its potential association with drug-induced cardiotoxicity,particularly QT interval prolongation.Methods Western blot,co-immunoprecipitation,and gene knockdown techniques were employed to evaluate the effects of donepezil and hypoxia on CYP3A4 pro-tein expression.CYP3A4 enzymatic activity was as-sessed using an in vitro incubation system with rat liver microsomes combined with high-performance liquid chromatography(HPLC),and the half-maximal inhib-itory concentration(IC50)was determined.Results Donepezil(10 μmol·L-1)and hypoxia reduced CYP3A4 protein expression to 31.75％and 45.90％of the control levels,respectively.Both interventions activated the gp78-mediated ubiquitin-proteasome path-way,significantly increasing CYP3A4 ubiquitination levels by 2.1-fold compared to the control group,thereby promoting proteasomal degradation.Donepezil inhibited CYP3A4 enzyme activity with an IC50 of 83.4μmol·L-1,and hypoxia synergistically enhanced this inhibitory effect,reducing the IC50 to 20.79 μmol·L-1.Conclusion Donepezil downregulates CYP3A4 function through dual mechanisms involving ubiquitin-mediated proteasomal degradation and direct enzymatic inhibition.Hypoxia potentiates this effect,leading to impaired metabolism of CYP3A4 substrate drugs,ele-vated plasma drug concentrations(1.6-2.3-fold in-crease compared to normal metabolic conditions),and an increased risk of QT interval prolongation and other forms of cardiotoxicity.

Objective To compare the differences in dosimetry and treatment efficiency of three radiotherapy plans after left-sided breast-conserving surgery,including modified intensity-modulated radiation therapy(IMRT),cross-field volume-modulated arc therapy(VMAT)or improved VMAT,so as to provide references for clinical practice.Methods Three radiotherapy plans of modified IMRT,cross-field VMAT and improved VMAT were designed for 12 patients after left-sided-breast-conserving surgery.The modified IMRT with five irradiation fields and the improved VMAT with two arcs were modified by not setting cross-fields while determining the start and end angles with the rays passing through the least lung area.The cross-field VMAT had its start and end angles set based on the cross-fields.The doses to the target areas,peripheral organs at risk,heart and its substructures were evaluated,and dose verification was carried out.The three plans were compared in terms of treatment efficiency and gamma pass rate.SPSS 22.0 was used for statistical analysis.Results All the three plans behaved well in dose distribution.In terms of planning gross tumor volume dosimetry dosimetry,the improved VMAT and modified IMRT gained advantages than others in CI and D50,respectively,with the differences being significant(all P<0.05).In terms of planning target volume dosimetry,the modified IMRT had the V107 and D50 lower than those of the others,with the differences being significant(P<0.05).In terms of the protection of peripheral organs at risk,V5 of the left lung,Dmean of the right lung and Dmean of the healthy breast were lower in the modified IMRT plan than in the other 2 plans,with statistically significant differences(P<0.05);V20,V30,V35 and V40 of the left lung were lower in the modified VMAT plan than in the other 2 plans,with statistically significant differences(P<0.05).In terms of protection of heart and its substructures,the left ventricle V20,V30 and Dmean of the improved VMAT plan behaved better than those of other 2 plans,and the difference was statistically significant(all P<0.05).In terms of treatment efficiency,the cross-field VMAT plan had the lowest MU while highest treatment efficiency;the improved VMAT plan had the MU higher while the treatment efficiency lower than the cross-field VMAT plan;the modified IMRT plan had the highest MU while the lowest gamma pass rate,and the differences in the MUs and gamma pass rates among the three plans were statistically significant(P<0.05).Conclusion Under the same standard conditions,the cross-field VMAT and improved VMAT plans show technical advantages.Though the improved VMAT plan has the treatment efficiency lower than the cross-field VMAT,it decreases the possibility of radiocardiac injury in terms of dosimetry and thus can be used for radiotherapy after left-sided breast-conserving surgery.[Chinese Medical Equipment Journal,2025,46(4):45-51]

AIM To study the chemical constituents from the buds of Aralia chinensis L.var.nuda Nakai and their in vitro anti-inflammatory activities.METHODS The 70％ethanol extract from the buds of A.chinensis var.nuda was isolated and purified by silica gel,Sephadex LH-20,ODS and semi-preparative HPLC,then the structures of compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activities in vitro were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as 4-(2,2-dibutoxyethyl)phenol(1),trans-linalool-3,7-oxide-6-O-β-D-glucopyranoside(2),2'-O-(9Z,12Z,15Z-octadecatrienoyl)glyceryl β-D-galactopyranoside(3),quercetin-3-O-β-D-glucopyranoside(3'→ O-3''')quercetin-3-O-β-D-galactopyranoside(4),syringaresinol-4'-O-β-D-glucopyranoside(5),p-hydroxybenzaldehyde(6),7α-hydroxystigmasterol 3-O-β-D-glucopyranoside(7),trans-p-hydroxy cinnamic acid methyl ester(8),funingensin A(9),3,4-dihydroxy-acetophenone(10),N-acetyltyramine(11),3,4-di-O-caffeoyl quinic acid(12),chlorogenic acid(13),aralia cerebroside(14),caffeic acid methyl ester(15),tetradecanoic acid(16).The IC50values of compounds 8,10,12 and 13 were(22.19±1.59),(35.25±1.30),(13.38±0.72),(15.73±1.16)μmol/L,respectively.CONCLUSION Compound 1 is a new compound,2-13 are isolated from genus Aralia for the first time.Compounds 8,10,12,13 exhibit significant in vitro anti-inflammatory activities.

Objective:To explore the independent risk factors for uremic encephalopathy(UE)in maintenance hemodialysis(MHD)patients and provide evidence for early clinical warning and intervention.Methods:A case-control study was conducted,enrolling 67 MHD patients diagnosed with UE(UE group)at Laibin People's Hospital from January 2010 to December 2024,and 67 non-UE patients during the same period(control group).Demographic characteristics,dialysis parameters,laboratory indicators,and infection events were collected.Univariate and multivariate logistic regression analyses were used to identify independent risk factors for UE.Results:The UE group had significantly higher rates of infection(58.2％vs.29.9％),serum creatinine(789 vs.702 μmol/L),and iPTH levels(568 vs.385 pg/mL)compared to the control group(P＜0.05).Multivariate analysis revealed that concurrent infection(OR=3.022,95％CI:1.312-6.958),elevated serum creatinine(OR=1.004,95％CI:1.000-1.008),and elevated iPTH(OR=1.002,95％CI:1.001-1.003)were independent risk factors for UE(P＜0.05).The combined prediction model achieved an AUC of 0.878(95％CI:0.822-0.934),with 82.1％sensitivity and 80.6％specificity.Conclusion:Infection,elevated serum creatinine,and elevated iPTH significantly increase the risk of UE in MHD patients.Clinical management should emphasize infection prevention,toxin clearance optimization,and parathyroid function regulation to reduce UE incidence.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Objective:To apply bioinformatics methods to screen and analyze differentially expressed genes and biological processes specific to peripheral blood mononuclear cells in postmenopausal women with osteoporosis.Methods:From the Gene Expression Omnibus database, GSE56814, GSE56815, and GSE2208 datasets were screened as the research objects. The limma package in R language was used to screen differentially expressed genes, and the multigene Meta-analysis function in Metascape platform was utilized to perform enrichment analysis of gene ontology and pathway. Protein-protein interaction network construction, module analysis, core gene, and enrichment analysis will be carried out.Results:In the GSE56814 dataset, there were 84 significantly up-regulated genes and 73 significantly down-regulated genes. In the GSE56815 dataset, there were 8 significantly up-regulated genes and 33 significantly down-regulated genes. In the GSE2208 dataset, there were 21 significantly up-regulated genes and 10 significantly down-regulated genes. The multigene Meta-analysis identified 3 modules and 19 core genes in the Metascape platform. The core genes of MCODE1 included STXBP2, EIF2S2, EIF3J, PTPN6, FLNA, HLA- DQA1, CTSD, HSPA6, HLA- DPB1, EIF3E, PLEC. They mainly enriched formation of cytoplasmic translation initiation complex, antigen processing and presentation of exogenous peptide antigen via major histocompatibility complex Ⅱ, cytoplasmic translational initiation, nsp1 from SARS-CoV-2 inhibits translation initiation in the host cell, programmed cell death 1 signaling pathway, allograft rejection reaction. The core genes of MCODE2 included FOS, FOSB, EGR1, EGR2, JUNB. They mainly enriched RNA polymerase Ⅱ-specific, DNA-binding transcription activator activity, cellular response to salt, nerve growth factor-stimulated transcriptional pathways, nuclear kinase and transcription factor activation activation pathways, neurotrophic receptor tyrosine kinase 1 signaling pathway. The core genes of MCODE3 included CEBPA, H2AC6, SPI1. They mainly enriched transcriptional regulation of granulopoiesis. Conclusion:This study obtained a total of 3 modules, 19 core genes, and enriched them in the biological processes related to postmenopausal osteoporosis, providing new ideas and biological targets for exploring its occurrence pathogenesis and drug treatment.