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 evaluate the safety and efficiency of robotic visualization system(RVS)-assisted microsurgical re-construction of the reproductive tract in male rats and the satisfaction of the surgeons.Methods:We randomly divided 8 adult male SD rats into an experimental and a control group,the former treated by RVS-assisted microsurgical vasoepididymostomy(VE)or vaso-vasostomy(VV),and the latter by VE or VV under the standard operating microscope(SOM).We compared the operation time,me-chanical patency and anastomosis leakage immediately after surgery,and the surgeons'satisfaction between the two groups.Results:No statistically significant difference was observed the operation time between the experimental and the control groups,and no anasto-mosis leakage occurred after VV in either group.The rate of mechanical patency immediately after surgery was 100％in both groups,and that of anastomosis leakage after VE was 16.7％in the experimental group and 14.3％in the control.Compared with the control group,the experimental group achieved dramatically higher scores on visual comfort(3.00±0.76 vs 4.00±0.53,P＜0.05),neck/back comfort(2.75±1.16 vs 4.38±1.06,P＜0.01)and man-machine interaction(3.88±1.55 va 4.88±0.35,P＜0.05).There were no statistically significant differences in the scores on image definition and operating room suitability between the two groups.Conclusion:RVS can be used in microsurgical reconstruction of the reproductive tract in male rats and,with its advantages over SOM in ergonomic design and image definition,has a potential application value in male reproductive system micosurgery.

Objective: This study aims to investigate the sleep quality of pregnant women in Xuhui District, Shanghai, and the related factors of sleep disturbances during pregnancy. Methods: From February 2019 to February 2021, we used online integrated sleep questionnaire (including PSQI, BQ, ESS, AIS) in Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, The International Peace Maternity and Child Health Hospitals of China Welfare Institution, and Shanghai Eighth People's Hospital, to investigate the sleep quality across pregnancy. We also collected maternal physical examination results, childbearing history, sociodemographic, and other clinical data. The prevalences and related factors of various sleep disturbances in pregnant women were analyzed, including insufficient/excessive nighttime sleep, low sleep efficiency, difficulty falling asleep, poor sleep quality, insomnia, daytime sleepiness, and high risk of sleep-disordered breathing (SDB). Results: This study includes 1 898 cases in the first trimester (T1), 3 099 cases in the second trimester (T2), and 1 539 cases in the third trimester (T3). Poor sleep quality (38.6%), daytime sleepiness (mild 41.9%, moderate 17.7%, severe 2.1%), and suspicious insomnia (32.3%) are most prevalent among women in T1 (P<0.01). In comparison, short sleep time (2.7%), long sleep time (8.6%), difficulty falling asleep (12.2%), poor sleep efficiency (35.4%), very poor sleep quality (6.7%), clinical insomnia (21.8%), and high-risk SDB (6.4%) are most prevalent among women in T3 (P<0.05). During pregnancy, late gestation (OR=1.016, 95%CI: 1.006-1.025) and multiple induced/drug abortions (OR=1.329, 95%CI: 1.043-1.692) are risk factors for poor sleep quality (PSQI>5), while multiple full-term deliveries (OR=0.800, 95%CI: 0.675-0.949) is its protective factor. Advanced maternal age (OR=0.976, 95%CI: 0.956-0.997), multiple full-term deliveries (OR=0.808, 95%CI: 0.680-0.959), late gestation (OR=0.983, 95%CI: 0.974-0.992) and hypertension (OR=0.572, 95%CI: 0.401-0.814) are protective factors for daytime sleepiness (ESS>6). The high-risk pregnancy category (OR=9.312, 95%CI: 1.156-74.978) is a risk factor for insomnia (AIS≥4), while multiple full-term deliveries (OR=0.815, 95%CI: 0.691-0.961) is its protective factor. High BMI (OR=1.334, 95%CI: 1.270-1.402) and hypertension (OR=4.427, 95%CI: 2.539-7.719) are risk factors for high-risk SDB in pregnant women. Conclusions: The prevalences of various sleep disturbances are high throughout pregnancy. Noticeably, symptoms of maternal SDB develop along with pregnancy. Different types of sleep disturbances are associated with different factors. Women of high-risk pregnancy category, in late gestation, with high BMI, hypertension, a history of induced/drug abortion, or without a history of full-term delivery can be at high risk of sleep disturbances during pregnancy.
Child ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Humans ; Pregnancy ; Pregnancy Complications/epidemiology* ; Pregnant Women ; Sleep ; Sleep Quality

Gene fusion is one of the mechanisms that promote tumor development. It is also an important cause for the poor prognosis of patients. The detection of gene fusion is crucial for the recognition of tumor biomarker, cancer subtype classification, and clinical medication guidance. Appropriate methods can help the early diagnosis and avoid ineffective medication. Traditional tests include fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), reverse transcription of PCR (RT-PCR), and next generation sequencing (NGS). The next generation sequencing (NGS) mainly includes: whole genome sequencing (WGS), whole transcriptome sequencing (WTS) and target sequencing (hybridization capture method/amplicon method). In clinical concomitant diagnostic applications, some factors such as operability, time/money costs, and the level of expertise required for data analysis should be considered. This article concludes with a discussion of the technical principles of different detection methods and advantages/limitations. Meanwhile, it provides reference opinions for the detection methods of gene fusion.
Humans ; High-Throughput Nucleotide Sequencing/methods* ; In Situ Hybridization, Fluorescence ; Neoplasms/genetics* ; Gene Fusion ; Technology ; Lung Neoplasms/diagnosis*

The mammalian target of rapamycin (mTOR)-sterol regulatory element-binding proteins (SREBPs) signaling promotes lipogenesis. However, mTOR inhibitors also displayed a significant side effect of hyperlipidemia. Thus, it is essential to develop mTOR-specific inhibitors to inhibit lipogenesis. Here, we screened the endogenous inhibitors of mTOR, and identified that FKBP38 as a vital regulator of lipid metabolism. FKBP38 decreased the lipid content

Purpose: The aim of this study was to compare the efficacy of liver transplantation (LT) and liver resection (LR) for hepatocellular carcinoma (HCC) patients with portal vein tumor thrombus (PVTT) and to investigate risk factors affecting prognosis. Materials and Methods: A total of 94 HCC patients with PVTT type I (segmental PVTT) and PVTT type II (lobar PVTT) were involved and divided into LR (n=47) and LT groups (n=47). Recurrence-free survival (RFS) and overall survival (OS) were compared before and after inverse probability of treatment weighting (IPTW). Prognostic factors for RFS and OS were explored. Results: Two treatment groups were well-balanced using IPTW. In the entire cohort, LT provided a better prognosis than LR. Among patients with PVTT type I, RFS was better with LT (p=0.039); OS was not different significantly between LT and LR (p=0.093). In subgroup analysis of PVTT type I patients with α-fetoprotein (AFP) levels >200 ng/mL, LT elicited significantly longer median RFS (18.0 months vs. 2.1 months, p=0.022) and relatively longer median OS time (23.6 months vs. 9.8 months, p=0.065). Among patients with PVTT type II, no significant differences in RFS and OS were found between LT and LR (p=0.115 and 0.335, respectively). Multivariate analyses showed treatment allocation (LR), tumor size (>5 cm), AFP and aspartate aminotransferase (AST) levels to be risk factors of RFS and treatment allocation (LR), AFP and AST as risk factors for OS. Conclusion LT appeared to afford a better prognosis for HCC with PVTT type I than LR, especially in patients with AFP levels >200 ng/mL.

Adult ; Aged ; Aqueous Humor ; virology ; Female ; Humans ; Immunocompetence ; immunology ; Inflammation ; virology ; Male ; Middle Aged ; Retrospective Studies ; Young Adult

Based on the results of previous data mining,the mechanism of high frequency use of Tibetan medicine in the treatment of high altitude polycythemia(HAPC) was analyzed in this study by network pharmacology. The author obtained the high frequency use data on Tibetan medicine Terminalia chebula,Aucklandia lappa,Crocus sativus and Myristica fragrans for the treatment of HAPC by data mining in the previous period. The first five main active ingredients of each high frequency Tibetan medicine were screened out by reviewing comprehensive literature and TCMSP database. The potential targets of each medicine were screened by PharmMapper and Drug Bank database,and then the targets were imported into MAS 3. 0 database to obtain the corresponding path information. The KEGG database was used for path annotation and GO function enrichment analysis. Finally,Cystoscope 3. 4. 0 software was used to construct " compound-target-path" network for four high-frequency Tibetan medicines. Among them,the target points of four herbs related to HAPC were 16(T. chebula),20(A. lappa),20(C. sativus),and 15(M. fragrans). The common target points included BHMT,F2,ADH5,AKR1 C2,GSK3 B,INSR and PDE4 B,involving pathways related to T. chebula(17),A. lappa(17),C. sativus(24) and M. fragrans(14),and the common pathway was metabolism of xenobiotics by cytochrome P450. The results showed that high-frequency Tibetan medicine had common pathways and targets in treating HAPC,such as T. chebula,A. lappa,C. sativus and M. fragrans.The medicines could reduce hemoglobin and enhance immunity by mediating cell proliferation and oxidative stress,exerting anti-inflammatory effects and participating in regulating blood vessels,showing therapeutic effects for HAPC. In this study,the multi-component,multi-target and multi-pathway mechanism of Tibetan medicine in preventing and treating HAPC was analyzed from the information level,providing a useful reference for further study of Tibetan medicine in preventing and treating plateau diseases from the multi-dimensional perspective.
Data Mining ; Glycogen Synthase Kinase 3 ; Humans ; Medicine, Chinese Traditional ; Medicine, Tibetan Traditional ; Polycythemia

The purpose of this study is to design push-pull osmotic pump (PPOP) tablets of famotidine using the expert system for the formulation design of osmotic pump of poor water-soluble drug which had been established by the authors. Firstly, the parameters which were requisite of the system input were obtained from literatures and experimental tests. Then the parameters were input into the system, and the program was run. The system displayed the designed formulations sequential. Finally, famotidine PPOP was prepared according to the designed formulations and the in vitro dissolution was carried out. It was found out that the target formulation of famotidine PPOP which could release for 24 hours was obtained in a very short period. Meanwhile, the practicability of the established expert system was proved.
Delayed-Action Preparations ; Drug Delivery Systems ; methods ; Excipients ; chemistry ; Expert Systems ; Famotidine ; administration & dosage ; chemistry ; Osmosis ; Solubility ; Tablets ; Water

OBJECTIVETo investigate the clinicopathologic features, diagnosis and treatment of biliary intraductal papillary neoplasm (IPN-B).

METHODSThe clinical, histopathological, treatment and prognosis data of 23 patients with IPN-B treated from January 1998 to December 2007 were retrospectively analyzed.

RESULTSThere were 13 male and 10 female, aged from 30 to 80 years [mean age was (61 +/- 12) years]. The clinical manifestation included 10 cases with asymptomatic, 7 cases with abdominal pain, 4 cases with jaundice, 1 case with emaciation, and 1 case with acute cholangitis, respectively. Nine patients were also associated with hepatolithiasis. The average diameter of the tumors was (6 +/- 4) cm, 4 lesions were located in the right lobe, 15 in the left lobe, and 4 in the extrahepatic bile duct. Histopathologically, there were 4 adenomas, 1 borderline neoplasm, 6 carcinomas in situ, and 12 carcinomas. All patients received operation;the mean duration of follow-up was (33 +/- 28) months. Overall 3-year and 5-year survival rates of IPN-B were 85.3% and 68.2% respectively.

CONCLUSIONSIPN-B represents a distinct clinicopathologic entity. Favorable prognosis for IPN-B is offered by curative resection.

Adult ; Aged ; Aged, 80 and over ; Bile Duct Neoplasms ; pathology ; surgery ; Carcinoma, Papillary ; pathology ; surgery ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Prognosis ; Retrospective Studies