Acute Liver Failure Associated with Occupational Exposure to Tetrachloroethylene

Chuan Shen,Cai-Yan Zhao,Fang Liu,Ya-Dong Wang,Wei Wang 대한의학회 2011 Journal of Korean medical science Vol.26 No.1

Tetrachloroethylene is a chlorinated solvent that is primarily used in dry cleaning and degreasing operations. Although the hepatotoxicity caused by tetrachloroethylene has been well documented in literature, it is rarely considered as a cause of acute liver failure. We report a case of a 39-yr-old man who was admitted to our hospital for acute liver failure due to tetrachloroethylene exposure. Histological examination of the liver revealed massive hepatic necrosis, prominently, in zone 3 of the hepatic lobules. The patient underwent supportive treatment along with 3 sessions of plasmapheresis, and consequently, he presented a favorable outcome. Repeat liver biopsy performed 6 months after the patient’s discharge showed architectural distortion with postnecrotic cirrhosis. Physicians should be aware of the possibility of acute liver failure induced by tetrachloroethylene. Early plasmapheresis can be effective for individuals with sufficient capacity for hepatocyte regeneration.

AN ITERATIVE ALGORITHM FOR SOLVING THE LEAST-SQUARES PROBLEM OF MATRIX EQUATION AXB+CYD=E

Shen, Kai-Juan,You, Chuan-Hua,Du, Yu-Xia Korean Society of Computational and Applied Mathem 2008 Journal of applied mathematics & informatics Vol.26 No.5

In this paper, an iterative method is proposed to solve the least-squares problem of matrix equation AXB+CYD=E over unknown matrix pair [X, Y]. By this iterative method, for any initial matrix pair [$X_1,\;Y_1$], a solution pair or the least-norm least-squares solution pair of which can be obtained within finite iterative steps in the absence of roundoff errors. In addition, we also consider the optimal approximation problem for the given matrix pair [$X_0,\;Y_0$] in Frobenius norm. Given numerical examples show that the algorithm is efficient.

Development of the vapor film thickness correlation in porous corrosion deposits on the cladding in PWR

Shen Yuan,Duan Zhengang,Lu Chuan,Ji Li,Jiao Caishan,Hou Hongguo,Chao Nan,Zhang Meng,Zhou Yu,Gao Yang 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.12

The porous corrosion deposits (known as CRUD) adhered to the cladding have an important effect on the heat transfer from fuel rods to coolant in PWRs. The vapor film is the main constituent in the two-phase film boiling model. This paper presents a vapor film thickness correlation, associated with CRUD porosity, CRUD chimney density, CRUD particle size, CRUD thickness and heat flux. The dependences of the vapor film thickness on the various influential factors can be intuitively reflected from this vapor film thickness correlation. The temperature, pressure, and boric acid concentration distributions in CRUD can be well predicted using the two-phase film boiling model coupled with the vapor film thickness correlation. It suggests that the vapor thickness correlation can estimate the vapor film thickness more conveniently than the previously reported vapor thickness calculation methods.

An Anomalous Behavior Detection Method Using System Call Sequences for Distributed Applications

( Chuan Ma ),( Limin Shen ),( Tao Wang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.2

Distributed applications are composed of multiple nodes, which exchange information with individual nodes through message passing. Compared with traditional applications, distributed applications have more complex behavior patterns because a large number of interactions and concurrent behaviors exist among their distributed nodes. Thus, it is difficult to detect anomalous behaviors and determine the location and scope of abnormal nodes, and some attacks and misuse cannot be detected. To address this problem, we introduce a method for detecting anomalous behaviors based on process algebra. We specify the architecture of the behavior detection model and the detection algorithm. The anomalous behavior detection and analysis demonstrate that our method is a good discriminator between normal and anomalous behavior characteristics of distributed applications. Performance evaluation shows that the proposed method enhances efficiency without security degradation.

Experimental investigation on the subsurface stress distributions in specimens with different strengths after ultrasonic impact treatment

Chuan Liu,Jia-bin Shen,Chang-hua Lin,Jian-fei Wang,Jian-xin Wang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.5

Ultrasonic impact treatment (UIT) was carried out on three specimens with different strengths and, to measure the subsurface stress distribution of the specimens, the layer-by-layer removal x-ray diffraction method was applied. The stress redistribution due to material removal was corrected by finite element analysis. The effect of material strength on the after-UIT subsurface stress was investigated. The results show that the UIT can cause a compressive stress layer with a depth of over 2.5 mm for specimens with different strengths, while the material strength has no significant effect on the depth of UIT-induced stress. The UIT-induced peak compressive stresses in the three specimens exceed the material yield strength, appearing at the depth of 0.2 mm beneath the surface and increasing with the increase of material yield strength. The ratio of UIT-induced peak compressive stress magnitude to material yield strength decreases with the increase of material yield strength.

Modulatory Potential of LncRNA Zfas1 for Inflammation and Neuronal Apoptosis in Temporal Lobe Epilepsy

Chuan He,Caixia Su,Wentong Zhang,Qin Zhou,Xu Shen,Junjie Yang,Naixian Shi 연세대학교의과대학 2021 Yonsei medical journal Vol.62 No.3

Purpose: This study aimed to elucidate whether lncRNA ZFAS1 is involved in neuronal apoptosis and inflammation in temporal lobe epilepsy (TLE). Materials and Methods: Ninety-six TLE patients were recruited, and their peripheral venous blood was gathered to determine Zfas1 expression with polymerase chain reaction. Neurons were separated from hippocampal tissue of newborn SD rats, and siZfas1 or pcDNA3.1-Zfas1 was transfected into the neurons. Inflammatory cytokines released by neurons were determined, and neuronal activities were evaluated through MTT assay, colony formation assay, and flow cytometry. Results: Serum levels of Zfas1 were higher in TLE patients than in healthy controls (p<0.05). Furthermore, Zfas1 expression in neurons was raised by pcDNA3.1-Zfas1 and declined after silencing of Zfas1 (p<0.05). Transfection of pcDNA-Zfas1 weakened the viability and proliferation of neurons and increased neuronal apoptosis (p<0.05). Meanwhile, pcDNA3.1-Zfas1 transfection promoted lipopolysaccharide-induced release of cytokines, including tumor necrosis factor-α, interleukin (IL)-1, IL-6, and intercellular adhesion molecule-1 (p<0.05), and boosted NF-κB activation by elevating the expression of NF-κB p65, pIκBα, and IKKβ in neurons (p<0.05). Conclusion: Our results indicated that lncRNA ZFAS1 exacerbates epilepsy development by promoting neuronal apoptosis and inflammation, implying ZFAS1 as a promising treatment target for epilepsy.

ACCELERATED PROXIMAL GRADIENT ALGORITHM FOR FRAME BASED IMAGE RESTORATIONS

Zouwei Shen,Kim-Chuan Toh,Sangwoon Yun 한국산업응용수학회 2010 한국산업응용수학회 학술대회 논문집 Vol.5 No.2

Frame-based image restoration have been developed over the last decade. Many recently developed algorithms for image restoration can be viewed as an acceleration of the proximal forward-backward splitting algorithm. Accelerated proximal gradient algorithms studied by Nesterov, Nemirovski, and others have been demonstrated as efficient methods to solve various regularized convex optimization problems arising in compressive sensing, machine learning, and control. In this paper, we adapt the accelerated proximal gradient algorithm to solve the balanced approach model, in frame-based image restoration, which can be formulated as the ℓ₁-regularized least squares problem. This algorithm terminates in O(L/√?.) iterations with an ?-optimal solution and Lipschitz constant L, and gives a set of new frame-based image restoration algorithms that can cover several topics in image restorations, such as image deblurring, denoising, inpainting, and cartoon-texture image decomposition. The numerical results suggest that our algorithm is efficient and robust in solving large-scale image restoration problems. The algorithms we implemented are able to restore 512 × 512 images in various image restoration problems in less than 50 seconds on a modest PC. We also compare the numerical performance of our proposed algorithms applied to image problems by using one frame-based system with that by using cartoon and texture systems for image deblurring, denoising, and inpainting.

Nomograms to Predict the Individual Survival of Patients with Solitary Hepatocellular Carcinoma after Hepatectomy

( Junyi Shen ),( Linye He ),( Chuan Li ),( Tianfu Wen ),( Weixia Chen ),( Changli Lu ),( Lvnan Yan ),( Bo Li ),( Jiayin Yang ) 대한간학회 2017 Gut and Liver Vol.11 No.5

Background/Aims: Solitary hepatocellular carcinoma (HCC) is a subgroup of HCCs. We aimed to establish nomograms for predicting the survival of solitary HCC patients after hepatectomy. Methods: A total of 538 solitary HCC patients were randomly classified into training and validation sets. A Cox model was used to identify predictors of overall survival (OS) in the training set. A nomogram was generated based on these predictors and was validated using the validation set. Results: Tumor size, microvascular invasion, and major vascular invasion were significantly associated with OS in the training set. Nomograms were developed based on these predictors in the multivariate analysis. The C-index was 0.75 for the OS nomogram and 0.72 for the recurrence-free sur-vival nomogram. Compared to the index of conventional stag-ing systems for predicting survival (0.71 for Barcelona Clinic Liver Cancer, 0.66 for the seventh American Joint Committee on Cancer, 0.68 for Cancer of the Liver Italian Program, and 0.70 for Hong Kong Liver Cancer), the index of the OS nomo-gram was significantly higher. Moreover, the calibration curve fitted well between the predicted and observed survival rate. Similarly, in the validation set, the nomogram discrimination was superior to those of the four staging systems (p<0.001). Conclusions: The nomograms demonstrated good discrimi-nation performance in predicting 3- and 5-year survival rates for solitary HCCs after hepatectomy. (Gut Liver 2017;11:684- 692)

Low Carbon Concrete Prepared with Scattering-Filling Coarse Aggregate Process

Weiguo Shen,Chuan Zhang,Xinling Li,Hua Shi,Guiming Wang,Xiaowu Tian 한국콘크리트학회 2014 International Journal of Concrete Structures and M Vol.8 No.4

The volume fraction of the coarse aggregate in the conventional plastic concrete is controlled relatively low to ensure a required workability. In this paper, a new type of coarse aggregate interlocking concrete with strength ranging from C30 to C80 was prepared with scattering-filling aggregate process. The strength of concrete prepared with this method increases obviously whereas the shrinkage decreases significantly, the cement dosage in the concrete decreased 20 % at the same time. The microhardness of the ITZ between the cement paste and scattering-filling aggregate is higher than that of the original aggregate, the ITZ become narrower and tighter also. The interlocking and more even distribution of the coarse aggregate and the water absorption of the addition of extra amount of coarse aggregates contribute to the strength and performance improvement of the concrete prepared with scattering-filling aggregate process.

基于元认知理论的研究生课程思政案例教学创新与实践

高申(Shen Gao),蒲川(Chuan Pu),王宝秦(Baoqin Wang),蒋祎(Yi Jiang) 아시아사회과학학회 2023 International Science Research Vol.3 No.3

元认知是对认知的认知,其与案例教学结合的优势体现在学生通过重新认知案例教学过程和学习行为,可以强化案例教学的效果。本研究是在研究生《医疗卫生法律法规》课程中开展基于元认知的案例教学以期对课程思政的教学方式进行创新。基于元认知的案例教学实践分为四个部分:制定教学目标、形成课程思政案例微课库、开展案例教学和教学评价。学生评价结果表明,基于元认知理论进行课程思政案例教学能显著提升学习效果,计划、监控和调节是提升元认知能力的三大策略。 Metacognition is the cognition of cognition, and the advantage of its combination with case teaching is reflected in that students can strengthen the effect of case teaching by re-recognizing the process and learning behavior of case teaching. This study is to carry out metacognition-based case teaching in the course of Medical Health Laws and Regulations for postgraduate students in order to innovate the teaching methods of ideological and political education. The practice of case teaching based on metacognition is divided into four parts: formulating teaching objectives, forming the micro-class library of curriculum ideological and political cases, carrying out case teaching and teaching evaluation. The evaluation results of students show that the course case teaching based on metacognitive theory can significantly improve the learning effect, and planning, monitoring and adjustment are the three strategies to improve the metacognitive ability.