Patent documents are a special long text format, and traditional deep learning methods have insufficient feature extraction ability, which results in a weaker classification effect than ordinary text. Based on this, this paper constructs a text feature extraction method based on the lexical network, according to the inner relation between words and classification. Firstly, the inner relationship between words and classification was obtained from linear and probability dimensions and the lexical network were constructed. Secondly, the lexical network is fused with the features extracted from the deep learning model. Finally, the fusion features are trained in the original model to get the final classification result. T This method is a classification enhancement method that can classify patent text alone or enhance the accuracy of various types of neural networks in patent text classification. Experimental results demonstrate that the accuracy of BERT combined with lexical network method is as high as 82.73%, and the accuracy of lexical network method combined with CNN and LSTM is increased by 2.19% and 2.25% respectively. In addition, it was demonstrated that the lexical network feature extraction method accelerated the convergence speed of the model during training and improved the classification ability of the model in Chinese patent texts.
Abstract: Objective: To explore the treatment scheme for intracranial infection with Acinetobacter baumannii . Methods: We retrospective analyzed two cases of patients of intracranial infection with Acinetobacter baumannii . Results: The intracranial infection was controlled effectively by the scheme to intravenous"tigecycline + cefperazone-sulbactam"combined with intrathecal tigecycline injection, the two patients recover well with 21 months' follow-up. Conclusions: Tigecycline-based drug scheme combined with intrathecal tigecycline injection can achieve the effect of controlling intracranial infection. Lumbar cisterna drainage tube plays a major role in controlling intracranial infection. Keywords: multidrug resistant Acinetobacter baumannii , intracranial infection, tigecycline
Cerebral syphilitic gumma (CSG), a rare manifestation of neurosyphilis, presents characteristics akin to intracranial tumors, often leading to clinical misdiagnosis.
High-mobility group protein box 1 (HMGB1) is a cytokine with multiple functions (according to its subcellular location) that serves a marker of inflammation. CSF HMGB1 could be the part of pathological mechanisms that underlie the complications associated with CNS diseases. HMGB1 actively or passively released into the CSF is detected in the CSF in many diseases of the central nervous system (CNS) and thus may be useful as a biomarker. Pathological alterations in distant areas were observed due to lesions in a specific region, and the level of HMGB1 in the CSF was found to be elevated. Reducing the HMGB1 level via intraventricular injection of anti-HMGB1 neutralizing antibodies can improve the outcomes of CNS diseases. The results indicated that CSF HMGB1 could serve as a biomarker for predicting disease progression and may also act as a pathogenic factor contributing to pathological alterations in distant areas following focal lesions in the CNS. In this mini-review, the characteristics of HMGB1 and progress in research on CSF HMGB1 as a biomarker of CNS diseases were discussed. CSF HMGB1 is useful not only as a biomarker of CNS diseases but may also be involved in interactions between different brain regions and the spinal cord.
Objective To investigate the traumatic posterior fossa hematoma prognostic factors.Methods Retrospective analysis of 56 cases of traumatic posterior fossa hematoma patients, upon treatment options and clinical outcomes, and to explore the posterior fossa hematoma prognostic factors.Results Among 56 patients, according to Glasgow prognosis score (GOS score), 39 patients recovered well (4～5 points), 17 patients with poor prognosis (1～3 points), in which 8 cases with moderate disability, 4 cases with severe disability, and 5 cases died.Statistical analysis of traumatic posterior fossa hematoma indicated that prognosis is correlated with hematoma location, hematoma volume, GCS, and inter-related surgery.Patients with simple posterior fossa epidural hematoma, hematoma less, GCS score high, and promptly surgery after injury, have better prognosis.Conclusion Early diagnosis and appropriate surgical relaxation and early surgery treatment are beneficial to patients of traumatic posterior fossa hematoma in the prognosis, and reducing mortality and morbidity.
Objective: Decompressive craniectomy (DC) plays an important role in the treatment of patients with severe traumatic brain injury (sTBI) with mass lesions and intractably elevated intracranial hypertension (ICP). However, whether DC should be performed in patients with bilateral dilated pupils and a low Glasgow Coma Scale (GCS) score is still controversial. This retrospective study explored the clinical outcomes and risk factors for an unfavorable prognosis in sTBI patients undergoing emergency DC with bilateral dilated pupils and a GCS score <5. Methods: The authors reviewed the data from patients who underwent emergency DC from January 2012 to March 2019 in a medical center in China. All data, such as patient demographics, radiological findings, clinical parameters, and preoperative laboratory variables, were extracted. Multivariate logistic regression analysis was performed to determine the factors associated with 30-day mortality and 6-month negative neurological outcome {defined as death or vegetative state [Glasgow Outcome Scale (GOS) score 1–2]}. Results: A total of 94 sTBI patients with bilateral dilated pupils and a GCS score lower than five who underwent emergency DC were enrolled. In total, 74 patients (78.7%) died within 30 days, and 84 (89.4%) had a poor 6-month outcome (GOS 1–2). In multivariate analysis, advanced age (OR: 7.741, CI: 2.288–26.189), prolonged preoperative activated partial thromboplastin time (aPTT) (OR: 7.263, CI: 1.323–39.890), and low GCS (OR: 6.162, CI: 1.478–25.684) were associated with a higher risk of 30-day mortality, while advanced age (OR: 8.812, CI: 1.817–42.729) was the only independent predictor of a poor 6-month prognosis in patients undergoing DC with preoperative bilateral dilated pupils and a GCS score <5. Conclusions: The mortality and disability rates are extremely high in severe TBI patients undergoing emergency DC with bilateral fixed pupils and a GCS score <5. DC is more valuable for younger patients.
// Xinyun Ye 1, * , Wenjin Wei 1, * , Zhengyu Zhang 1, * , Chunming He 1 , Ruijin Yang 1 , Jinshi Zhang 1 , Zhiwu Wu 1 , Qianliang Huang 1 , Qiuhua Jiang 1 1 Department of Neurosurgery, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, Jiangxi 341000, China * These authors have contributed equally to this work Correspondence to: Qiuhua Jiang, email: jiangqh1968@163.com Keywords: glioma, miRNA, diagnosis, prognosis, meta-analysis Received: August 23, 2016 Accepted: December 15, 2016 Published: January 02, 2017 ABSTRACT The sensitivity and specificity of microRNAs (miRNAs) for diagnosing glioma are controversial. We therefore performed a meta-analysis to systematically identify glioma-associated miRNAs. We initially screened five miRNA microarray datasets to evaluate the differential expression of miRNAs between glioma and normal tissues. We next compared the expression of the miRNAs in different organs and tissues to assess the sensitivity and specificity of the differentially expressed miRNAs in the diagnosis of glioma. Finally, pathway analysis was performed using GeneGO. We identified 27 candidate miRNAs associated with glioma initiation, progression, and patient prognosis. Sensitivity and specificity analysis indicated miR-15a, miR-16, miR-21, miR-23a, and miR-9 were up-regulated, while miR-124 was down-regulated in glioma. Ten signaling pathways showed the strongest association with glioma development and progression: the p53 pathway feedback loops 2, Interleukin signaling pathway, Toll receptor signaling pathway, Parkinson's disease, Notch signaling pathway, Cadherin signaling pathway, Apoptosis signaling pathway, VEGF signaling pathway, Alzheimer disease-amyloid secretase pathway, and the FGF signaling pathway. Our results indicate that the integration of miRNA, gene, and protein expression data can yield valuable biomarkers for glioma diagnosis and treatment. Indeed, six of the miRNAs identified in this study may be useful diagnostic and prognostic biomarkers in glioma.
Post-stroke cognitive impairment (PSCI) is a clinical syndrome characterized by cognitive deficits that manifest following a stroke and persist for up to 6 months post-event. This condition is grave, severely compromising patient quality of life and longevity, while also imposing substantial economic burdens on societies worldwide. Despite significant advancements in identifying risk factors for PSCI, research into its underlying mechanisms and therapeutic interventions remains inadequate. Microglia, the brain’s primary immune effector cells, are pivotal in maintaining, nurturing, defending, and repairing neuronal function, a process intrinsically linked to PSCI’s progression. Thus, investigating microglial activation and mechanisms in PSCI is crucial. This paper aims to foster new preventive and therapeutic approaches for PSCI by elucidating the roles, mechanisms, and characteristics of microglia in the condition.
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