39 research outputs found

    Mixed-Conducting Oxygen Permeable Ceramic Membrane and its Application in the Production of Synthesis Gas

    Get PDF
    This study detailedly investigated the effects of the preparation parameters on the performance of Ba0.5Sr0.5Co0.8Fe0.2Ox (BSCF) membranes. In addition, the dominant step of the oxygen permeation through the BSCF membrane was determined. The results show that bulk diffusion dominates the oxygen permeation. According to the analysis of the dominant step, a BSCF membrane with asymmetric geometry was fabricated using the dry-pressing method. The BSCF asymmetric membrane exhibits higher oxygen flux than the dense membrane. The reaction performance of BSCF asymmetric membranes in the production of synthesis gas (the partial oxidation and CO2 reforming of CH4) was studied, in which the role of the membranes in the reactions was investigated. The results show that BSCF asymmetric membranes maintained good integrity and stability in the reactions. The oxygen flux of BSCF asymmetric membrane was further increased when the membrane was exposed to the reaction

    Research on the influence, causes and countermeasures of college students' mobile phone dependence

    Get PDF
    Based on the rapid development of Internet technology and the popularity of mobile phone use, there are more problems caused by college students' mobile phone use. This paper analyzes the influence of College Students' mobile phone dependence from two aspects, and states the causes of this phenomenon from both subjective and objective aspects. Finally, it gives the Countermeasures of College Students' mobile phone dependence from five aspects, in order to enable college students to reasonably control the time of using mobile phones, Use mobile phones scientifically

    Ischemic stroke prediction of patients with carotid atherosclerotic stenosis via multi-modality fused network

    Get PDF
    Carotid atherosclerotic stenosis of the carotid artery is an important cause of ischemic cerebrovascular disease. The aim of this study was to predict the presence or absence of clinical symptoms in unknown patients by studying the existence or lack of symptoms of patients with carotid atherosclerotic stenosis. First, a deep neural network prediction model based on brain MRI imaging data of patients with multiple modalities is constructed; it uses the multi-modality features extracted from the neural network as inputs and the incidence of diagnosis as output to train the model. Then, a machine learning-based classification algorithm is developed to utilize the clinical features for comparison and evaluation. The experimental results showed that the deep learning model using imaging data could better predict the clinical symptom classification of patients. As part of preventive medicine, this study could help patients with carotid atherosclerosis narrowing to prepare for stroke prevention based on the prediction results

    Retrospective study on MGMT methylation status and its clinical significance in gliomas

    Get PDF
    Background and purpose: Glioma is a common malignant tumor of central nervous system with poor prognosis. Postoperative concurrent chemoradiotherapy with temozolomide (TMZ) is the main treatment for glioma. The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter can predict the sensitivity of glioma patients to TMZ treatment, however its relationship with clinical pathology and how to better predict treatment and prognosis still need further research. The purpose of this study was to analyze the status of MGMT promoter methylation (MGMTmet) in gliomas and its correlation with clinical pathological features and other common molecular abnormalities, and to explore the value of combined analysis of MGMTmet and other molecular abnormalities in predicting the prognosis of glioma and the efficacy of TMZ treatment. Methods: We retrospectively collected clinical and pathological data from 205 glioma patients diagnosed by the Department of Pathology, Fudan University Shanghai Cancer Center from July 2019 to September 2022. Real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR) was used to detect MGMTmet status. Sanger sequencing was used to detect the mutation of isocitrate dehydrogenase 1 and 2 (IDH1/2) and telomerase reverse transcriptase (TERT) genes. Fluorescence in situ hybridization (FISH) was used to detect the deletion of the short arm of chromosome 1 and the long arm of chromosome 19 (1p19q). Results: Among 205 patients, the incidence of MGMTmet was higher in female patients than in male patients. Compared to glioblastoma (47.3%), astrocytoma (74.1%) and oligodendroglioma (100.0%) were more prone to methylation of the MGMT gene promoter (P<0.05). In MGMTmet group, IDH1 mutation rate and 1p19q co-deletion rate were significantly increased, and methylation of MGMT promoter was correlated with IDH1 mutation and 1p19q co-deletion (P<0.05). Patients with MGMTmet, age less than 55 years, oligodendroglioma, and World Health Organization (WHO) grade 1-3 all showed longer overall survival (OS), and the difference is statistically significant (P<0.05). Compared with individual influencing factors, dual/triple gene combination analysis (MGMTmet/IDH1 mutation or MGMTmet/1p19q co-deletion or MGMTmet/IDH1 mutation/1p19q co-deletion) had better effect for predicting the patient prognosis (P<0.05), with the latter two being independent prognostic factors. Among TMZ treated patients, MGMTmet (MGMTmet/TMZ+) patients had a better prognosis than other groups. If the patients had combined IDH1 mutations, the prognosis of the patients was further improved (P<0.05). Conclusion: MGMTmet is more common in women and patients with oligodendroglioma. It is positively correlated with IDH1 mutation and 1p19q co-deletion. Patients with MGMTmet are associated with better TMZ treatment efficacy and prognosis, and MGMTmet combined with IDH mutations and 1p19q co-deletion analysis have better TMZ treatment efficacy and prognostic implications

    Preliminary study of improving immune tolerance in vivo of bioprosthetic heart valves through a novel antigenic removal method

    Get PDF
    The durability of bioprosthetic heart valves is always compromised by the inherent antigenicity of biomaterials. Decellularization has been a promising approach to reducing the immunogenicity of biological valves. However, current methods are insufficient in eliminating all immunogenicity from the biomaterials, necessitating the exploration of novel techniques. In this study, we investigated using a novel detergent, fatty alcohol polyoxyethylene ether sodium sulfate (AES), to remove antigens from bovine pericardium. Our results demonstrated that AES treatment achieved a higher pericardial antigen removal rate than traditional detergent treatments while preserving the mechanical properties and biocompatibility of the biomaterials. Moreover, we observed excellent immune tolerance in the in vivo rat model. Overall, our findings suggest that AES treatment is a promising method for preparing biological valves with ideal clinical application prospects

    Rawlsian fairness in push and pull supply chains

    No full text
    We study a dyadic supply chain with firms following the Rawlsian principle of fairness and examine its impact on chain performance and firms' profits. Different from the inequality-aversion model in the distributional fairness literature, the participants with the Rawlsian fairness concern maximize the profit of the disadvantageous party according to their own fairness criteria. Our results show that the Rawlsian principle adopted by individual firms can achieve not only fairness but also Pareto efficiency. By studying both push and pull supply chains, we find that what matters is the decision sequence between the manufacturer and the retailer. The fair-minded Stackelberg follower can induce the Stackelberg leader, no matter fair-minded or not, to offer a coordinating wholesale price. The chain coordination can be achieved only if the follower is not too demanding (i.e., it does not demand an excessively high portion of chain profit according to its fairness criterion). Additionally, a win-win outcome can be achieved, provided the follower is not too humble. All else being equal, the win-win region is larger with a higher demand uncertainty. Last but not least, we compare our results with those under the inequality-averse fairness model on a push supply chain and find that the parameter ranges of coordination and win-win are wider when the participants follow the Rawlsian principle of fairness

    Generation of a KCNQ1 (c.1032 + 2 T > C) mutant human embryonic stem cell line via CRISPR base editing

    No full text
    The KCNQ1 gene encodes a voltage-gated potassium channel, which plays an important role in the repolarization of myocardial action potentials. Mutations in this gene often result in type 1 long QT syndrome (LQT1). Here, we generated a KCNQ1 (c.1032 + 2 T > C) mutant human embryonic stem cell line (WAe009-A-1D) based on the transient expression adenine base editing system that converts base A to G. The WAe009-A-1D cell maintains the morphology, pluripotency, and normal karyotype of the stem cells and is capable of differentiating into all three germ layers in vivo

    the coexistence of competitions and cooperations problems ∗

    No full text
    Abstract. In this paper, we present a class of interactional programming model (IPM) for the coexistence of competitions and cooperations problems, which can be regarded as decision making problems, such as supply chains. We introduce the optimal solution to the IPM, which is ideal and often does not exist. Therefore, we give a new concept of s-optimal solution, which always exists under some conditions. We prove that the soptimal solution to IPM can be obtained by solving a non-linear programming problem after we obtain some optimal solutions to the sub-problem of each decision maker. Some examples are given to explain how to compute an s-optimal solution

    Relationship between Apelin/APJ Signaling, Oxidative Stress, and Diseases

    No full text
    Apelin, a peptide hormone, is an endogenous ligand for G protein-coupled receptor and has been shown to be widely expressed in human and animal tissues, such as the central nervous system and adipose tissue. Recent studies indicate that the apelin/APJ system is involved in the regulation of multiple physiological and pathological processes, and it is associated with cardiovascular diseases, metabolic disorders, neurological diseases, ischemia-reperfusion injury, aging, eclampsia, deafness, and tumors. The occurrence and development of these diseases are closely related to the local inflammatory response. Oxidative stress is that the balance between oxidation and antioxidant is broken, and reactive oxygen species are produced in large quantities, causing cell or molecular damage, which leads to vascular damage and a series of inflammatory reactions. Hence, this article reviewed recent advances in the relationship between apelin/APJ and oxidative stress, and inflammation-related diseases, and highlights them as potential therapeutic targets for oxidative stress-related inflammatory diseases
    corecore