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RISS 인기검색어
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- 저자 : Mei Liang (검색결과 131 건)
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Liang Shi-Bing,Hou Wen-Bin,Zheng Ruo-Xiang,Liang Chang-Hao,Yan Li-Jiao,Wang Hao-Nan,Cao Hui-Juan,Han Mei,Robinson Nicola,Liu Jian-Ping 한국한의학연구원 2022 Integrative Medicine Research Vol.11 No.1
Background: Compound glycyrrhizin injection (CGI) is a preparation with glycyrrhizin as the main active ingredient extracted from licorice. As clinical trials suggest that CGI is effective in improving liver function for acute icteric hepatitis in children (AIHC), this systematic review aimed to evaluate and verify its therapeutic effects and safety. Methods: Six electronic databases were searched from their inception to 15 May 2021. Randomized controlled trials (RCTs) assessing therapeutic effects and safety of CGI for AIHC were included. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. Primary outcomes were indexes related to liver function, including total bilirubin (TBiL), alanine aminotransferase (ALT) and aspartate transaminase (AST). RevMan 5.4 software was used for data analyses. The certainty of the evidence was assessed using the online GRADEpro tool. Results: Six RCTs involving 608 children were included. The overall bias was assessed as having “high risk of bias” in all trials. All trials compared the combination of CGI and conventional western medicine (CWM) with CWM alone. Regarding the effects of CGI for AIHC, results showed that CGI plus CWM was superior to CWM alone in reducing the levels of TBiL (mean difference (MD) = -8.19 mmol/L, 95% CI -9.86 to -6.53), ALT (MD = -24.09 U/L, 95% CI -30.83 to -17.34) and AST (MD = -18.67 U/L, 95% CI -21.88 to -15.45). No trial reported adverse events. The certainty of the evidence for outcomes were all evaluated as low or very low. Conclusion: CGI may have adjuvant therapeutic effects on improving the liver function of children with AIHC. There is no evidence to determine the safety of CGI for AIHC. As current evidence is weak, further well-designed RCTs are required for verification of the therapeutic effects of CGI. Background: Compound glycyrrhizin injection (CGI) is a preparation with glycyrrhizin as the main active ingredient extracted from licorice. As clinical trials suggest that CGI is effective in improving liver function for acute icteric hepatitis in children (AIHC), this systematic review aimed to evaluate and verify its therapeutic effects and safety. Methods: Six electronic databases were searched from their inception to 15 May 2021. Randomized controlled trials (RCTs) assessing therapeutic effects and safety of CGI for AIHC were included. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. Primary outcomes were indexes related to liver function, including total bilirubin (TBiL), alanine aminotransferase (ALT) and aspartate transaminase (AST). RevMan 5.4 software was used for data analyses. The certainty of the evidence was assessed using the online GRADEpro tool. Results: Six RCTs involving 608 children were included. The overall bias was assessed as having “high risk of bias” in all trials. All trials compared the combination of CGI and conventional western medicine (CWM) with CWM alone. Regarding the effects of CGI for AIHC, results showed that CGI plus CWM was superior to CWM alone in reducing the levels of TBiL (mean difference (MD) = -8.19 mmol/L, 95% CI -9.86 to -6.53), ALT (MD = -24.09 U/L, 95% CI -30.83 to -17.34) and AST (MD = -18.67 U/L, 95% CI -21.88 to -15.45). No trial reported adverse events. The certainty of the evidence for outcomes were all evaluated as low or very low. Conclusion: CGI may have adjuvant therapeutic effects on improving the liver function of children with AIHC. There is no evidence to determine the safety of CGI for AIHC. As current evidence is weak, further well-designed RCTs are required for verification of the therapeutic effects of CGI.
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Biological Removal of H2S from the Livestock Manure Using a Biofilter
Mei Sheng Liang,Ying Liang 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.5
In this paper, the biological removal of H2S from air had been investigated using a self-made biofilter with efficient bioceramics and a polyhedral hollow ball. The biological removal efficiency of H2S had been analyzed at different experimental conditions, such as inlet H2S concentration, residence time, initial pH value, and reaction temperature etc. The results showed that the initial pH value had a slight effect on H2S removal efficiency from pH 3 to 9. The optimal initial pH value was 5.5, while the H2S removal efficiency was 100%. The H2S removal efficiency increased with increases in the nutrient solution spraying rate. The appropriate temperature was 25oC in the temperature range from 15 to 30oC. The H2S removal efficiency dropped with the increase of air input and inlet H2S concentration. After being isolated and screened, six strains of heterotrophic sulfide oxidizing bacteria and one strain autotrophic sulfide oxidizing bacteria were determined to be involved in the removal of H2S within the biofilter. The reaction kinetics of H2S was in accordance with first order reaction kinetics.
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An Improved Analytical Model for Predicting the Switching Performance of SiC MOSFETs
Liang, Mei,Zheng, Trillion Q.,Li, Yan The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1
This paper derives an improved analytical model to estimate switching loss and analyze the effects of parasitic elements on the switching performance of SiC MOSFETs. The proposed analytical model considers the parasitic inductances, the nonlinearity of the junction capacitances and the nonlinearity of the trans-conductance. The turn-on process and the turn-off process are illustrated in detail, and equivalent circuits are derived and solved for each switching transition. The proposed analytical model is more accurate and matches better with experimental results than other analytical models. Note that switching losses calculated based on experiments are imprecise, because the energy of the junction capacitances is not properly disposed. Finally, the proposed analytical model is utilized to account for the effects of parasitic elements on the switching performance of a SiC MOSFET, and the circuit design rules for high frequency circuits are given.
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An Improved Analytical Model for Predicting the Switching Performance of SiC MOSFETs
Mei Liang,Trillion Q. Zheng,Yan Li 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1
This paper derives an improved analytical model to estimate switching loss and analyze the effects of parasitic elements on the switching performance of SiC MOSFETs. The proposed analytical model considers the parasitic inductances, the nonlinearity of the junction capacitances and the nonlinearity of the trans-conductance. The turn-on process and the turn-off process are illustrated in detail, and equivalent circuits are derived and solved for each switching transition. The proposed analytical model is more accurate and matches better with experimental results than other analytical models. Note that switching losses calculated based on experiments are imprecise, because the energy of the junction capacitances is not properly disposed. Finally, the proposed analytical model is utilized to account for the effects of parasitic elements on the switching performance of a SiC MOSFET, and the circuit design rules for high frequency circuits are given.
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A Novel Electrochemical Biosensor Based on Graphene and Cu Nanowires Hybrid Nanocomposites
Mei Chen,CHANGJUN HOU,DANQUN HUO,Liang Dong,Mei Yang,Huanbao Fa 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.11
In this research, a new electrochemical sensor based on hybrid nanocomposite consisting of copper nanowires (CuNWs) and graphene (GR) were developed for the detection of organophosphorus pesticides (OPs). The surface morphology of the hybrid nanocomposite were studied by scanning electron microscope (SEM). The electrochemical behavior of the hybrid nanocomposites based sensor and its application for pesticides determination were evaluated by cyclic voltammetry (CV) and square wave voltammetry (SWV). Under optimized operational conditions, SWV was further employed for methyl parathion detection, which shows a wide dynamic range from 0.2 µM to 5 µM, a high sensitivity (69.2 · cm2 · µM-1) and the detection limit as low as 50 nM. It also had specific detection to the methyl parathion residues and had good reproducibility and stability. These results implicated the potential applicability of CuNWs/GNs-Chit hybrid nanocomposites in sensitive and selective detection of organophosphorus pesticides.
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Tian-Mei Si,Yun-shu Zhang,Liang Shu,Ke-Qing Li,Xie-He Liu,Qi-Yi Mei,Gao-Hua Wang,Pei-Shen Bai,Li-Ping Ji,Xian-Sheng Cheng,Cui Ma,Jian-Guo Shi,Hong-Yan Zhang,Hong Ma,Xin Yu 대한정신약물학회 2012 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.10 No.2
Objective: Clozapine is one of the most commonly used antipsychotic drugs in China. To date, few studies have investigated the patterns the prescription of clozapine nationwide. The present study examined these patterns in China in 2006 and identified the demographic and clinical characteristics associated with the use of clozapine. Methods: Using a standardized protocol and data collection procedure, we surveyed 5,898 patients with schizophrenia in 10provinces with differing levels of economic development. Results: Overall, clozapine had been prescribed for 31.9% (n=1,883) of the patients; however we found considerable variation among the 10 provinces. The frequency of clozapine use was highest in Sichuan (39.3%) and lowest in Beijing (17.3%). The mean daily dose of clozapine was 210.36±128.72 mg/day, and 25.1% of the patients were treated with clozapine in combination with other antipsychotics. Compared with the group not receiving clozapine, clozapine-user had been treated for longer durations and had experienced a greater number of relapses and hospitalizations. Furthermore, those in the clozapine-user had lower family incomes, were less able to seek psychiatric services, and more likely to be male and have a positive family history of schizophrenia. A multiple logistic regression analysis revealed that age, sex, professional help-seeking behaviors, duration of illness, economic status, educational level, and clinical manifestations were associated with the use of clozapine. Conclusion: Clozapine use is common in China. However, use of the antipsychotic varies among provinces, and demographic and clinical factors play important roles in the prescription of clozapine.
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Qian-mei Jiang,Shuai Yu,Xiaofeng Dong,Huai-shun Wang,Jie Hou,Zhi-chao Huang,Zhi-liang Guo,Shou-jiang You,Guo-dong Xiao 대한신경과학회 2022 Journal of Clinical Neurology Vol.18 No.3
Background and Purpose This study aimed to construct an optimal dynamic nomogram for predicting malignant brain edema (MBE) in acute ischemic stroke (AIS) patients after endovascular thrombectomy (ET). Methods We enrolled AIS patients after ET from May 2017 to April 2021. MBE was defined as a midline shift of >5 mm at the septum pellucidum or pineal gland based on follow-up computed tomography within 5 days after ET. Multivariate logistic regression and LASSO (least absolute shrinkage and selection operator) regression were used to construct the nomogram. The area under the receiver operating characteristic curve (AUC) and decisioncurve analysis were used to compare our nomogram with two previous risk models for predicting brain edema after ET. Results MBE developed in 72 (21.9%) of the 329 eligible patients. Our dynamic web-based nomogram (https://successful.shinyapps.io/DynNomapp/) consisted of five parameters: basal cistern effacement, postoperative National Institutes of Health Stroke Scale (NIHSS) score, brain atrophy, hypoattenuation area, and stroke etiology. The nomogram showed good discrimination ability, with a C-index (Harrell’s concordance index) of 0.925 (95% confidence interval=0.890–0.961), and good calibration (Hosmer-Lemeshow test, p=0.386). All variables had variance inflation factors of <1.5 and tolerances of >0.7, suggesting no significant collinearity among them. The AUC of our nomogram (0.925) was superior to those of Xiang-liang Chen and colleagues (0.843) and Ming-yang Du and colleagues (0.728). Conclusions Our web-based dynamic nomogram reliably predicted the risk of MBE in AIS patients after ET, and hence is worthy of further evaluation.
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Factors that Influence the Presciption of Antipsychotics for Patients with Schizophrenia in China
Tian-Mei Si,Liang Shu,Ke-Qing Li,Xie-He Liu,Qi-Yi Mei,Gao-Hua Wang,Pei-Shen Bai,Li-Ping Ji,Xian-Sheng Chen,Cui Ma,Jian-Guo Shi,Hong-Yan Zhang,Hong Ma,Xin Yu 대한정신약물학회 2011 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.9 No.3
Objective: To investigate the patterns of antipsychotic use in China and to analyze the factors that influence antipsychotic prescriptions. Methods: A standardized survey was conducted from May 20 to 24 2002 in five different regions of China with varying economic levels. The patterns of antipsychotic medication use were analyzed in a sample of 4,779 patients with schizophrenia. The survey gathered information on demographic characteristics, clinical profiles, and antipsychotic medications prescribed. Multiple logistic regression was used to analyze factors related to patterns of antipsychotic medication use. Results: A plurality of patients with schizophrenia was treated with clozapine (39%); this was followed by risperidone, sulpride,chlorpromazine, perphenazine, and haloperidol. More than 56.3% of patients were treated with only one atypical antipsychotic. The mean daily dose of chlorpromazine was 365±253 mg (mean±standard deviation), and 6.5% of patients were treated with depot injections of typical antipsychotic medications. A total of 73.7% (n=3,523) of patients with schizophrenia received monotherapy,24.8% (n=1,183) received two antipsychotics, 1.1% (n=52) received three antipsychotics, and one received four different antipsychotics. Patients often simultaneously received other classes of medications including anticholinergic agents, benzodiazepines,β-blockers, antidepressants, and mood stabilizers. Economic status and clinical symptoms were the main factors that contributed to the patterns of antipsychotic prescription. Conclusion: The present study suggests that atypical antipsychotic medications, especially clozapine, are the primary psychiatric treatments of choice in the management of schizophrenia in China. Moreover, the economic status and clinical profile of the patient are the major factors affecting the prescription of antipsychotic medication.
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