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Yi-Qing Ni,Su-Mei Wang,Gao-Feng Jiang,Yang Lu,Guobin Lin,Hong-Liang Pan,Junqi Xu,Shuo Hao 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.4
Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-loosenesscaused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFSCNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.
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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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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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Ya-Ru Liang,Mei-Chen Yang,Yao-Kuang Wu,I-Shiang Tzeng,Pei-Yi Wu,Shiang-Yu Huang,Chou-Chin Lan,Chin-Pyng Wu 한국간호과학회 2020 Asian Nursing Research Vol.14 No.1
Purpose: Some patients with respiratory failure fail initial weaning attempts and need prolonged mechanical ventilation (MV). Prolonged MV is associated with many complications and consumption of heathcare resources. Objective weaning indices help staffs to identify high-potential patients for weaning from the MV. Traditional weaning indices are not reliable in clinical practice. Transitional percentage of minute volume (TMV%) is a new index of the work of breathing. This study aimed to investigate the utility of TMV% in the prediction of weaning potential. Methods: This study was prospectively performed including all patients with prolonged MV. Researchers recorded their demographics, TMV%, respiratory parameters, Acute Physiology and Chronic Health Evaluation II score, and laboratory data upon arrival at the respiratory care center. The factors associated with successful weaning were analyzed. Results: Out of the 120 patients included, 84 (70.0%) were successfully weaned from MV. Traditional weaning indices such as rapid shallow breathing index could not predict the weaning outcome. TMV% was a valuable parameter as patients with a lower TMV%, higher tidal volume, higher hemoglobin, lower blood urea nitrogen, and lower Acute Physiology and Chronic Health Evaluation II scores had a higher rate of successful weaning. TMV%, tidal volume, and HCO3- levels were independent predictors of successful weaning, and the area under the curve was .79 in the logistic regression model. Conclusion: TMV% is a novel and effective predictor of successful weaning. Patients with lower TMV% had a higher MV weaning outcome. Once patients with a high potential for successful weaning are identified, they should be aggressively weaned from MV as soon as possible.
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Angelica dahurica attenuates melanogenesis in B16F0 cells by repressing Wnt/β-catenin signaling
Fang Chien-Liang,Goswami Debakshee,Kuo Chia-Hua,Day Cecilia Hsuan,Lin Mei-Yi,Ho Tsung-Jung,Yang Liang-Yo,Hsieh Dennis Jine-Yuan,Lin Tzu-Kai,Huang Chih-Yang 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.1
Background Melanogenesis is a complex process which is tightly regulated by several enzymes. However, abnormal melanogenesis can cause severe dermatological problems. Roots of Angelica dahurica have been used for skin care as a part of traditional Chinese medicine for many generations. However, the role of A. dahurica in melanogenesis remains unclear. Objective Previous in vitro and in vivo studies have demonstrated that NK-1R exerts positive effects in melanogenesis via the Wnt/βcatenin signaling pathway. In this study, we investigated the effects of A. dahurica ethanol extract (ADE) on NK-1R and Wnt/β-catenin signaling, and evaluated the effect of NK-1R on melanogenesis in B16F0 cells. Results Angelica dahurica ethanol extract efficiently downregulated Neurokinin-1 receptor and Wnt/β-catenin signaling by decreasing the expression of β-catenin, MITF, LEF-1, TYR, TRP1, and TRP2 and increasing the expression of GSK3β, which resulted from the weakened expression of the Neurokinin-1 receptor inhibitor [Sar9,Met(O2 )11]-Substance P (SMSP). Furthermore, the intracellular melanin assay and cellular tyrosinase activity confirmed these findings. Conclusion This study suggests that ADE has potential to downregulate Neurokinin-1 receptor in SMSP-induced B16F0 cells, thereby repressing the Wnt/β-catenin signaling and reduces melanin production.
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L1 cell adhesion molecule as a novel independent poor prognostic factor in gallbladder carcinoma
Choi, Song-Yi,Jo, Young Suk,Huang, Song-Mei,Liang, Zhe Long,Min, Jeong-Ki,Hong, Hyo Jeong,Kim, Jin-Man Elsevier 2011 Human pathology Vol.42 No.10
<P><B>Summary</B></P><P>Gallbladder carcinoma is a lethal malignancy and is hard to cure by current treatment. Thus, identification of molecular prognostic markers to predict gallbladder carcinoma as therapeutic targets is urgently needed. Recent studies have demonstrated that L1 cell adhesion molecule is associated with the prognosis of variable malignancy. Here, we investigated L1 cell adhesion molecule expression in gallbladder carcinoma and its prognostic significance. In this study, we examined L1 cell adhesion molecule expression in tumor specimens from 69 patients with gallbladder carcinoma by immunohistochemistry and analyzed the correlation between L1 cell adhesion molecule expression and clinicopathologic factors or survival. L1 cell adhesion molecule was not expressed in the normal epithelium of the gallbladder but in 63.8% of gallbladder carcinomas, remarkably at the invasive front of the tumors. In addition, L1 cell adhesion molecule expression was significantly associated with high histologic grade, advanced pathologic T stage and clinical stage, and positive venous/lymphatic invasion. Multivariate analyses showed that L1 cell adhesion molecule expression (hazard ratio, 3.503; <I>P</I> = .028) and clinical stage (hazard ratio, 3.091; <I>P</I> = .042) were independent risk factor for disease-free survival. L1 cell adhesion molecule expression in gallbladder carcinoma was significantly correlated with tumor progression and unfavorable clinicopathologic features. L1 cell adhesion molecule expression was an independent poor prognostic factor for disease-free survival in patients with gallbladder carcinoma. Taken together, our findings suggest that L1 cell adhesion molecule expression could be used as a novel prognostic factor for patient survival and might be a potential therapeutic target in gallbladder carcinomas.</P>
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Liao, Li-Qiong,Fu, Yi-Zheng,Liang, Xiao-Yan,Mei, Lin-Yu,Liu, Ya-Qing Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.3
Molecular dynamics (MD) simulations have been used to study the diffusion behavior of small gas molecules ($CO_2$) in polyethylene terephthalate (PET)/polylactide (PLA) blends. The Flory-Huggins interaction parameters (${\chi}$) determined from the cohesive energy densities are smaller than the critical value of Flory-Huggins interaction parameters (${\chi}_{critical}$), and that indicates the good compatibility of PET/PLA blends. The diffusion coefficients of $CO_2$ are determined via MD simulations at 298 K. That the order of diffusion coefficients is correlated with the availably fractional free volume (FFV) of $CO_2$ in the PET/PLA blends means that the FFV plays a vital role in the diffusion behavior of $CO_2$ molecules in PET/PLA blends. The slopes of the log (MSD) as a function of log (t) are close to unity over the entire composition range of PET/PLA blends, which confirmes the feasibility of MD approach reaches the normal diffusion regime of $CO_2$ in PET/PLA blends.
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