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.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective:To investigate the clinical efficacy and safety of Pseudomonas aeruginosa injection in preventing reurrent urinary tract infection in women. Methods:This was a multicenter, randomized, open, positive-controlled, non-inferiority trial involving female patients with recurrent urinary tract infections (rUTIs) who were admitted to 11 medical centers in China. Inclusion criteria: ①Aged 18-70 years, with verifiable clinical data showing at least 3 episodes of acute UTIs within 1 year and at least 2 episodes within 6 months, and cured by antimicrobial therapy; ② At the time of enrollment, the patients had no obvious symptoms of urinary tract irritation, normal white blood cell count in midstream urine routine (within the normal range of laboratory standards of each unit) or ≤3HP by centrifuge microscopy, negative leucocyte esterase and nitrite, and negative urine culture; ③No abnormal urinary anatomic function (such as urinary obstruction, calculus or congenital urinary malformation) and residual urine volume ≤50 ml were detected by B-ultrasound of urinary system; ④Informed consent signed by the person or agent; ⑤Clear consciousness, able to answer questions independently, according to the requirements of the test plan to complete the research questionnaire. Exclusion criteria: ①Patients allergic to the above drugs; ②Any complex signs of urinary tract infection or pyelonephritis (manifested as low back pain, fever ≥37.3℃, systemic symptoms); ③Drugs affecting immune function were used within 7 days before randomization; ④Patients with basic diseases of urinary system such as obstruction, calculus, urinary stenosis, vesicoureteral reflux or other functional abnormalities, urine diversion, indwelling catheter or stent tube or intermittent catheterization; ⑤Combined with or existing systemic lupus erythematosus, AIDS and other diseases that can lead to systemic immune function abnormalities; ⑥Patients who are known or suspected to be pregnant, breastfeeding, or planning a pregnancy within 3 months of stopping the drug; ⑦Patients with malignant tumors and mental patients; ⑧Persons who have received any other investigational drug treatment or participated in another interventional clinical trial within 4 weeks prior to screening; ⑨Failure to comply with the trial protocol or other conditions deemed unsuitable for enrollment by the investigator. Patients were randomly divided into 2 groups. The experimental group was given Pseudomonas aeruginosa injection for 5 times, 0.5 ml for the first time, and 1 ml/ time per week for the following 4 weeks. The control group was given fosfomycin aminotriol 3g orally, once every 10 days, for 9 consecutive times. The patients were followed up for 6 to 8 months, during which urinary tract symptoms developed and routine urine tests showed abnormally elevated white blood cells, which was defined as recurrent UTIs. Urine routine, liver and kidney function, and urinary secretory immunoglobulin A(SIgA) were reviewed 0-2 days (V2) after the 5th administration of the experimental group and the 4th administration of the control group. Urine routine and urine SIgA were reviewed at (90±10) d (V3) and (180±10) d (V4) after treatment. At (270±10) d (V5) after treatment, the recurrence (re-infection caused by the same species of bacteria) or re-infection (re-infection caused by non-same species of bacteria) of the two groups were compared, and non-inferiority analysis was performed, and the non-inferiority threshold was set at 0.2. Results:From March 2021 to May 2022, a total of 152 rUTIs patients were enrolled in this study, including 80 patients in the experimental group, 71 patients in the intention-to-analysis set (ITT) and 66 patients in the protocol analysis set (PPS). In the control group, 72 cases met ITT in 69 cases and PPS in 67 cases. There were no significant differences in age, body mass index, marital status, duration of urinary tract infection, history of diabetes, history of previous major surgery, history of infection, and urinary SIgA between the two groups (all P>0.05). The recurrence rates of the experimental group and the control group at V5 time point were 44.78% (30/67) and 42.65% (29/68), respectively ( P=0.803) (ITT data set analysis results showed that the difference in recurrence rates between the two groups was 0.0213(95% CI-0.1460-0.1886, P=0.0048). PPS data set analysis showed that the difference of recurrence rate between the two groups was -0.0021(95%CI -0.1711-0.1670, P=0.0109), and the recurrence rate of the experimental group was not worse than that of the control group. At V2 time points, there were no significant differences in liver and kidney function indexes between test group and control group ( P>0.05). At V2 to V4 time points, urinary SIgA of test group and control group were 0.90 (0.37, 2.89) mg/L and 1.32 (0.34, 3.08) mg/L, 1.54 (0.44, 3.23) mg/L and 1.71 (0.27, 2.92) mg/L, 1.11 (0.65, 3.42) mg/L and 2.18 (0.43, 3.26) mg/L, there was no statistical significance ( P>0.05). The incidence of adverse events in the experimental group was 30.0% (24/80), including 14 cases of redness, pain and discomfort at the injection site, 5 cases of fever, 2 cases of allergic rash, and 1 case of urticaria, headache and constipation each. The incidence of adverse events in the control group was 5.6% (4/72), all of which were diarrhea, and the difference between the two groups was statistically significant ( P<0.01). No life-threatening serious adverse events occurred in both groups, and all adverse events were self-healing without additional intervention. Conclusions:Compared with fosfomycin aminotriol, Pseudomonas aeruginosa injection has the same clinical effect in preventing rUTI and has good safety.

Objective:To investigate the clinical efficacy and safety of Pseudomonas aeruginosa injection in preventing reurrent urinary tract infection in women. Methods:This was a multicenter, randomized, open, positive-controlled, non-inferiority trial involving female patients with recurrent urinary tract infections (rUTIs) who were admitted to 11 medical centers in China. Inclusion criteria: ①Aged 18-70 years, with verifiable clinical data showing at least 3 episodes of acute UTIs within 1 year and at least 2 episodes within 6 months, and cured by antimicrobial therapy; ② At the time of enrollment, the patients had no obvious symptoms of urinary tract irritation, normal white blood cell count in midstream urine routine (within the normal range of laboratory standards of each unit) or ≤3HP by centrifuge microscopy, negative leucocyte esterase and nitrite, and negative urine culture; ③No abnormal urinary anatomic function (such as urinary obstruction, calculus or congenital urinary malformation) and residual urine volume ≤50 ml were detected by B-ultrasound of urinary system; ④Informed consent signed by the person or agent; ⑤Clear consciousness, able to answer questions independently, according to the requirements of the test plan to complete the research questionnaire. Exclusion criteria: ①Patients allergic to the above drugs; ②Any complex signs of urinary tract infection or pyelonephritis (manifested as low back pain, fever ≥37.3℃, systemic symptoms); ③Drugs affecting immune function were used within 7 days before randomization; ④Patients with basic diseases of urinary system such as obstruction, calculus, urinary stenosis, vesicoureteral reflux or other functional abnormalities, urine diversion, indwelling catheter or stent tube or intermittent catheterization; ⑤Combined with or existing systemic lupus erythematosus, AIDS and other diseases that can lead to systemic immune function abnormalities; ⑥Patients who are known or suspected to be pregnant, breastfeeding, or planning a pregnancy within 3 months of stopping the drug; ⑦Patients with malignant tumors and mental patients; ⑧Persons who have received any other investigational drug treatment or participated in another interventional clinical trial within 4 weeks prior to screening; ⑨Failure to comply with the trial protocol or other conditions deemed unsuitable for enrollment by the investigator. Patients were randomly divided into 2 groups. The experimental group was given Pseudomonas aeruginosa injection for 5 times, 0.5 ml for the first time, and 1 ml/ time per week for the following 4 weeks. The control group was given fosfomycin aminotriol 3g orally, once every 10 days, for 9 consecutive times. The patients were followed up for 6 to 8 months, during which urinary tract symptoms developed and routine urine tests showed abnormally elevated white blood cells, which was defined as recurrent UTIs. Urine routine, liver and kidney function, and urinary secretory immunoglobulin A(SIgA) were reviewed 0-2 days (V2) after the 5th administration of the experimental group and the 4th administration of the control group. Urine routine and urine SIgA were reviewed at (90±10) d (V3) and (180±10) d (V4) after treatment. At (270±10) d (V5) after treatment, the recurrence (re-infection caused by the same species of bacteria) or re-infection (re-infection caused by non-same species of bacteria) of the two groups were compared, and non-inferiority analysis was performed, and the non-inferiority threshold was set at 0.2. Results:From March 2021 to May 2022, a total of 152 rUTIs patients were enrolled in this study, including 80 patients in the experimental group, 71 patients in the intention-to-analysis set (ITT) and 66 patients in the protocol analysis set (PPS). In the control group, 72 cases met ITT in 69 cases and PPS in 67 cases. There were no significant differences in age, body mass index, marital status, duration of urinary tract infection, history of diabetes, history of previous major surgery, history of infection, and urinary SIgA between the two groups (all P>0.05). The recurrence rates of the experimental group and the control group at V5 time point were 44.78% (30/67) and 42.65% (29/68), respectively ( P=0.803) (ITT data set analysis results showed that the difference in recurrence rates between the two groups was 0.0213(95% CI-0.1460-0.1886, P=0.0048). PPS data set analysis showed that the difference of recurrence rate between the two groups was -0.0021(95%CI -0.1711-0.1670, P=0.0109), and the recurrence rate of the experimental group was not worse than that of the control group. At V2 time points, there were no significant differences in liver and kidney function indexes between test group and control group ( P>0.05). At V2 to V4 time points, urinary SIgA of test group and control group were 0.90 (0.37, 2.89) mg/L and 1.32 (0.34, 3.08) mg/L, 1.54 (0.44, 3.23) mg/L and 1.71 (0.27, 2.92) mg/L, 1.11 (0.65, 3.42) mg/L and 2.18 (0.43, 3.26) mg/L, there was no statistical significance ( P>0.05). The incidence of adverse events in the experimental group was 30.0% (24/80), including 14 cases of redness, pain and discomfort at the injection site, 5 cases of fever, 2 cases of allergic rash, and 1 case of urticaria, headache and constipation each. The incidence of adverse events in the control group was 5.6% (4/72), all of which were diarrhea, and the difference between the two groups was statistically significant ( P<0.01). No life-threatening serious adverse events occurred in both groups, and all adverse events were self-healing without additional intervention. Conclusions:Compared with fosfomycin aminotriol, Pseudomonas aeruginosa injection has the same clinical effect in preventing rUTI and has good safety.

As a member of the apolipoprotein C (ApoC) family with a relatively high content, ApoC3 plays a major role in the regulation of triglyceride metabolism, and plays an important role in the occurrence and development of cardiovascular diseases, glucose and lipid metabolism disorders. Nonalcoholic fatty liver disease (NAFLD) refers to the accumulation of a large amount of fat in the liver in the absence of a history of chronic alcohol consumption or other damage to the liver. A large number of previous studies have shown that there is a correlation between the gene polymorphism and high expression of ApoC3 and NAFLD. In the context of hypertriglyceridemia (HTG), this article reviews the relationship between ApoC3 and NAFLD, glucose and lipid metabolism, and islet β cell function, showing that ApoC3 can not only inhibit lipoprotein lipase (LPL) and hepatic lipase (HL) activity, delay the decomposition of triglyceride in plasma to maintain the body's energy metabolism during fasting, but also be significantly increased under insulin resistance, prompting the liver to secrete a large amount of very low-density lipoprotein (VLDL) to induce HTG. Therefore, targeting and inhibiting ApoC3 might become a new approach to treat HTG. Increasing evidence suggests that ApoC3 does not appear to be an independent "contributor" to NAFLD. Similarly, our previous studies have shown that ApoC3 is not an independent factor triggering islet β cell dysfunction in ApoC3 transgenic mice, but in a state of excess nutrition, HTG triggered by ApoC3 high expression may exacerbate the effects of hyperglycemia and insulin resistance on islet β cell function, and the underlying mechanism remains to be further discussed.
Apolipoprotein C-III/genetics* ; Non-alcoholic Fatty Liver Disease/pathology* ; Glucose/metabolism* ; Lipid Metabolism ; Humans ; Animals ; Hypertriglyceridemia/metabolism* ; Islets of Langerhans/metabolism*

Aim To study the synergistic effect of withaferin A (WA) combined with cisplatin (DDP) on cervical cancer and its mechanism. Methods MTT assay was employed to detect the synergistic effect of WA on DDP in cervical cancer cell lines. Annexin V-FITC/PI staining, TUNEL assay and immunoblotting were used to investigate the effect of WA combined with DDP on apoptosis of cervical cancer cells. Immunofluorescence and immunoblotting were used to detect NF-kB/MDR1 pathway related proteins. DCFH-DA and MitoSOX were applied to determine the intracellular reactive oxygen species (ROS) levels. A xenograft model was also used to evaluate the synergistic effect of WA on DDP. Results The combination of WA and DDP could inhibit the survival of cervical cancer cells, promote apoptosis, and inhibit the growth of tumor in mice. WA could inhibit DDP-induced NF-kB/MDR1 signaling pathway and promote ROS production. Conclusions WA plays a synergistic role in anti-cervical cancer by inhibiting DDP-induced NF-kB/MDR1 pathway activation and enhancing DDP induced ROS production.

Aim To investigate the effect of microinjection of EX527, a selective SIRT1 antagonist, into the ventrolateral orbital cortex (VLO) on morphine-induced conditioned place preference (CPP), and to explore the role of CREB/BDNF in it. Methods The cannulas were implanted bilaterally in the VLO of rats by brain stereotaxis surgery, and the model of morphine-induced CPP was established. The behavioral experiment consisted of four stages:habituation (d 1), pre-test (d 2-4), conditioning training (d 5-14) and test (d 15). At the stage of conditioning training, EX527 (1 μL, 5 g·L