Current epilepsy prediction methods are not effective in characterizing the multi-domain features of complex long-term electroencephalogram (EEG) data, leading to suboptimal prediction performance. Therefore, this paper proposes a novel multi-scale sparse adaptive convolutional network based on multi-head attention mechanism (MS-SACN-MM) model to effectively characterize the multi-domain features. The model first preprocesses the EEG data, constructs multiple convolutional layers to effectively avoid information overload, and uses a multi-layer perceptron and multi-head attention mechanism to focus the network on critical pre-seizure features. Then, it adopts a focal loss training strategy to alleviate class imbalance and enhance the model's robustness. Experimental results show that on the publicly created dataset (CHB-MIT) by MIT and Boston Children's Hospital, the MS-SACN-MM model achieves a maximum accuracy of 0.999 for seizure prediction 10 ~ 15 minutes in advance. This demonstrates good predictive performance and holds significant importance for early intervention and intelligent clinical management of epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Neural Networks, Computer ; Seizures/physiopathology* ; Signal Processing, Computer-Assisted ; Algorithms

Objective To investigate the effects of cucurbitacin B (CucB) on alleviating skin lesions and inflammation in psoriasis mice via the cGAS-STING signaling pathway. Methods The expression of genes associated with the cGAS-STING signaling pathway in psoriatic lesions and non-lesional skin was analyzed, and hallmark gene set enrichment analysis was performed. The cytotoxicity of CucB on BMDMs was evaluated using the CCK-8 assay. The expression levels of genes and proteins related to the cGAS-STING signaling pathway, along with the secretion of inflammatory cytokines, were measured at different concentrations of CucB using quantitative PCR, Western blotting, and ELISA. Imiquimod-induced psoriasis BALB/c mice were divided into four groups: normal group, model group, low-dose CucB group [0.1 mg/ (kg.d)], and high-dose CucB group [0.4 mg/ (kg.d)], with five mice per group. PASI scoring was performed to assess the severity of psoriasis after 6 days of treatment, and HE staining was conducted to observe pathological damage. Meanwhile, the mRNA levels of inflammatory cytokines and their secretion were detected by qPCR and ELISA. Results Most cGAS-STING signaling-related genes were upregulated in lesional skin of psoriasis patients, and the hallmark gene set enrichment analysis revealed that the most significantly upregulated genes were primarily associated with immune response signaling pathways. CucB inhibited dsDNA-induced phosphorylation of interferon regulatory factor 3 (IRF3) and STING proteins in both bone-marrow derived macrophages(BMDMs) and THP-1 cells. CucB also suppressed dsDNA-induced mRNA expression of IFNB1, TNF, IFIT1, CXCL10, ISG15, and reduced the secretion of cytokines such as IFN-β, IL-1β, and TNF-α in THP-1 cells. In the imiquimod-induced psoriasis mouse model, CucB treatment reduced psoriatic symptoms, alleviated skin lesions, and attenuated inflammation. ELISA and qPCR results showed that CucB significantly reduced serum secretion levels of IL-6, TNF-α, and IL-1β, as well as the mRNA levels of IL23A, IL1B, IL6, TNF, and IFNB1. Conclusion CucB inhibits cytoplasmic DNA-induced activationc of the GAS-STING pathway. CucB significantly attenuates skin lesions and inflammation in IMQ-induced psoriatic mice, and the potential molecular mechanism may be related to the down-regulation of the cGAS-STING pathway.
Animals ; Psoriasis/pathology* ; Signal Transduction/drug effects* ; Membrane Proteins/genetics* ; Mice ; Nucleotidyltransferases/genetics* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism* ; Triterpenes/therapeutic use* ; Humans ; Cytokines/metabolism* ; Inflammation/drug therapy* ; Male

OBJECTIVES: Uridine diphospho-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE) myopathy is a progressive neurodegenerative disease associated with homozygous or compound heterozygous missense mutations in the GNE gene. This study aims to explore the impact of the homozygous p.V543M mutation in on cell phenotype and to gain preliminary insights into the underlying mechanisms. METHODS: Human embryonic kidney 293T (HEK 293T) cells were used to construct wild-type (WT-GNE) and mutant (MUT-GNE) GNE overexpression models. Western blotting and immunofluorescence were used to assess GNE protein expression levels and subcellular localization. Cell adhesion, proliferation, apoptosis, and mitochondrial membrane potential were evaluated using the cell counting kit-8 (CCK-8) assay, crystal violet staining, flow cytometry, Hoechst 33342/propidium iodide (PI) staining, and tetramethylrhodamine ethyl ester (TMRE) staining. Sialic acid synthesis levels and GNE enzymatic activity were measured, and the mRNA expression of sialic acid biosynthesis-related enzymes was quantified by real-time PCR. RESULTS: Western blotting confirmed successful establishment of GNE overexpression models. Immunofluorescence showed significantly reduced co-localization of GNE protein with Golgin-97 in the MUT-GNE group compared to WT-GNE (Pearson's correlation coefficient: 0.65±0.08 vs 0.83±0.06, P<0.05). Compared with WT-GNE, cells in the MUT-GNE group exhibited increased adhesion, decreased proliferation, and reduced mitochondrial membrane potential (P<0.05). No significant differences in apoptosis were observed between groups. The MUT-GNE group showed reduced sialic acid production, significantly decreased kinase activity, and downregulated transcription of sialic acid biosynthesis-related enzymes compared to WT-GNE (P<0.001). CONCLUSIONS The p.V543M mutation in the GNE gene alters cellular phenotype by reducing GNE enzymatic activity and the transcription of sialic acid biosynthesis enzymes, ultimately impairing sialic acid production.
Humans ; Mutation, Missense ; HEK293 Cells ; Apoptosis/genetics* ; Phenotype ; Multienzyme Complexes/metabolism* ; Cell Proliferation ; Homozygote ; Cell Adhesion/genetics* ; Distal Myopathies/genetics*

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

To investigate the in vitro inhibitory mechanism of Nymphaea candida total flavonoids(NCTF)against Staphylococcus aureus(S.aureus)and its safety in mice,this study first deter-mined the antibacterial effect of NCTF on the clinically isolated strain S.aureus-C1.Subsequently,the inhibitory mechanism of NCTF on S.aureus-C1 was explored by measuring its effects on bac-terial growth curves,microstructure,intracellular AKP and LDH levels,and biofilm formation.Safety evaluation included determination of LD50 and MDT in mice,as well as analysis of serum biochemical parameters,organ indices,and histopathological observations.Results showed that NCTF effectively inhibited S.aureus-C1 proliferation,with an inhibition zone diameter of(18.98±0.67)mm and a MIC of 6.25 g/L.A concentration of 2×MIC nearly completely suppressed bacte-rial growth.Scanning electron microscopy revealed structural damage to bacterial cells,including collapse and shrinkage.AKP and LDH assays indicated significantly increased AKP activity(P＜0.05)and decreased intracellular LDH activity(P＜0.05)in the supernatant of drug-treated groups,demonstrating NCTF-induced disruption of cell walls and membranes leading to leakage of AKP and LDH.Crystal violet staining of biofilms showed significant inhibition rates of(43.77±9.16)％and(61.71±9.82)％at 2 × MIC and 4 × MIC concentrations,respectively(P＜0.05).Safe-ty assessments indicated low toxicity of NCTF in mice,with transient effects that returned to nor-mal levels within a short period.These findings demonstrate that NCTF exhibits potent antibacte-rial activity against S.aureus-C1 by damaging bacterial cell structures,increasing cell wall/mem-brane permeability,reducing biofilm formation,and displaying low toxicity.This study provides scientific evidence for clinical drug screening against bovine mastitis and the development of Nym-phaea candida resources.

Peer support can improve negative emotions, cognitive level, self-coping, and quality of life in adolescents and young adults with cancer. The rise of digital health technology has facilitated the rapid development of online medical interventions, providing an opportunity for the development of online peer support. This study reviewed the intervention modalities, application forms, application effects and should prospects of online peer support applied in adolescent and young adult cancer patients, to provide a reference for improving healthcare professionals to conduct high-quality online peer support interventions.

Objective:To systematically evaluate the qualitative study of perinatal bereavement care by obstetric nurses and midwives, and explore the barriers to perinatal bereavement care, so as to promote the development of domestic perinatal bereavement care services.Methods:Systematic search of qualitative studies on the experience of obstetric nurses and midwives in caring for perinatal bereaved mothers in PubMed, Web of Science, Embase, Cochrane Library, PsycINFO, CINAHL, China Biomedical Literature Service System, CNKI, Wanfang Database, and VIP database were searched from the establishment until June 30, 2024. The qualitative research quality evaluation was conducted using the 2016 version of the qualitative research quality assessment tool of the Joanna Briggs Institute Evidence-Based Health Care Centre in Australia, and the results of the study were summarized and integrated using the pooled integration method.Results:A total of 14 studies were included, with 3 Chinese literatures and 11 English literatures. A total of 55 themes were extracted, which were summarized and combined into 8 new categories, and 3 integrated results were summarized: insufficient bereavement care ability, insufficient bereavement care confidence, and imperfect allocation of bereavement care resources.Conclusions:The knowledge popularization and training of bereavement care should be strengthened, the organizational support should be strengthened, the confidence of obstetric nurses and midwives in bereavement care should be enhanced, a special perinatal bereavement care team should be set up, and multidisciplinary resources should be integrated to ensure the continuity and coordination of perinatal bereavement care.

This paper reviews the occurrence, influencing factors, assessment tools, and strategies for prevention and management of postoperative delirium in children with congenital heart disease. The aim is to raise awareness among clinical nursing staff about postoperative delirium in children with congenital heart disease and to provide references for exploring appropriate nursing management strategies for such cases in China.

To investigate the in vitro inhibitory mechanism of Nymphaea candida total flavonoids(NCTF)against Staphylococcus aureus(S.aureus)and its safety in mice,this study first deter-mined the antibacterial effect of NCTF on the clinically isolated strain S.aureus-C1.Subsequently,the inhibitory mechanism of NCTF on S.aureus-C1 was explored by measuring its effects on bac-terial growth curves,microstructure,intracellular AKP and LDH levels,and biofilm formation.Safety evaluation included determination of LD50 and MDT in mice,as well as analysis of serum biochemical parameters,organ indices,and histopathological observations.Results showed that NCTF effectively inhibited S.aureus-C1 proliferation,with an inhibition zone diameter of(18.98±0.67)mm and a MIC of 6.25 g/L.A concentration of 2×MIC nearly completely suppressed bacte-rial growth.Scanning electron microscopy revealed structural damage to bacterial cells,including collapse and shrinkage.AKP and LDH assays indicated significantly increased AKP activity(P＜0.05)and decreased intracellular LDH activity(P＜0.05)in the supernatant of drug-treated groups,demonstrating NCTF-induced disruption of cell walls and membranes leading to leakage of AKP and LDH.Crystal violet staining of biofilms showed significant inhibition rates of(43.77±9.16)％and(61.71±9.82)％at 2 × MIC and 4 × MIC concentrations,respectively(P＜0.05).Safe-ty assessments indicated low toxicity of NCTF in mice,with transient effects that returned to nor-mal levels within a short period.These findings demonstrate that NCTF exhibits potent antibacte-rial activity against S.aureus-C1 by damaging bacterial cell structures,increasing cell wall/mem-brane permeability,reducing biofilm formation,and displaying low toxicity.This study provides scientific evidence for clinical drug screening against bovine mastitis and the development of Nym-phaea candida resources.