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      • Low‐Voltage Pulsed Electric Field Sterilization on a Microfluidic Chip

        Liu, Linlin,Zhao, Liping,Yang, Jun,Wan, Xiaoping,Hu, Ning,Yeh, Li‐,Hsien,Joo, Sang W.,Qian, Shizhi WILEY‐VCH Verlag 2013 Electroanalysis Vol.25 No.5

        <P><B>Abstract</B></P><P>A polyimide substrate based microfluidic chip with thousands of comb‐shaped microelectrodes has been designed, fabricated, and tested for sterilization of bacteria by using pulsed electric field. The performance of bacteria sterilization as functions of the electric field strength, pulse number and width, treatment buffer, bacteria growth status, and bacteria enrichment by positive dielectrophoresis has been experimentally investigated on the microfluidic chip. Experimental results show that only 100 V are sufficient to obtain good sterilization of <I>Escherichia coli</I>. Higher electric field strength, bacteria enrichment by positive dielectrophoresis, longer pulse time, buffer with fewer components and nutritions, and suitable bacteria growth status also improve the sterilization of bacteria. In addition, configuration of the microelectrode array affects bacteria sterilization. This microfluidic device allows one to preconcentrate bacteria to a region with high electric field strength by using positive dielectrophoresis, and subsequently kill the enriched bacteria by applying a pulsed electric field through the same microelectrode array.</P>

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      • KCI등재

        A Configurable Software-based Approach for Detecting CFEs Caused by Transient Faults

        ( Wei Liu ),( Linlin Ci ),( Liping Liu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5

        Transient faults occur in computation units of a processor, which can cause control flow errors (CFEs) and compromise system reliability. The software-based methods perform illegal control flow detection by inserting redundant instructions and monitoring signature. However, the existing methods not only have drawbacks in terms of performance overhead, but also lack of configurability. We propose a configurable approach CCFCA for detecting CFEs. The configurability of CCFCA is implemented by analyzing the criticality of each region and tuning the detecting granularity. For critical regions, program blocks are divided according to space-time overhead and reliability constraints, so that protection intensity can be configured flexibly. For other regions, signature detection algorithms are only used in the first basic block and last basic block. This helps to improve the fault-tolerant efficiency of the CCFCA. At the same time, CCFCA also has the function of solving confusion and instruction self-detection. Our experimental results show that CCFCA incurs only 10.61% performance overhead on average for several C benchmark program and the average undetected error rate is only 9.29%. CCFCA has high error coverage and low overhead compared with similar algorithms. This helps to meet different cost requirements and reliability requirements.

      • KCI등재

        Control Flow Checking at Virtual Edges

        ( Liping Liu ),( Linlin Ci ),( Wei Liu ),( Hui Yang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.1

        Dynamically checking the integrity of software at run-time is always a hot and difficult spot for trusted computing. Control-flow integrity is a basic and important safety property of software integrity. Many classic and emerging security attacks who introduce illegal control-flow to applications can cause unpredictable behaviors of computer-based systems. In this paper, we present a software-based approach to checking violation of control flow integrity at run-time. This paper proposes a high-performance and low-overhead software control flow checking solution, control flow checking at virtual edges (CFCVE). CFCVE assigns a unique signature to each basic block and then inserts a virtual vertex into each edge at compile time. This together with insertion of signature updating instructions and checking instructions into corresponding vertexes and virtual vertexes. Control flow faults can be detected by comparing the run-time signature with the saved one at compile time. Our experimental results show that CFCVE incurs only 10.61% performance overhead on average for several C benchmark programs and the average undetected error rate is only 9.29%. Compared with previous techniques, CFCVE has the characteristics of both high fault coverage and low memory and performance overhead.

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        Serum Anti-Fumarate Hydratase Autoantibody as a Biomarker for Predicting Prognosis of Acute-on-Chronic Liver Failure

        Wei Linlin,Wang Ting,Chen Sisi,Liu Yeying,Huang Xueying,Zheng Sujun,Xu Bin,Ren Feng,Liu Mei 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.5

        Background/Aims: To investigate the autoantibody against fumarate hydratase (FH), which is a specific liver failure-associated antigen (LFAA) and determine whether it can be used as a biomarker to evaluate the prognosis of acute-on-chronic liver failure (ACLF). Methods: An immunoproteomic approach was applied to screen specific LFAAs related to differential prognosis of ACLF (n=60). Enzyme-linked immunosorbent assay (ELISA) technology was employed for the validation of the frequency and titer of autoantibodies against FH in ACLF patients with different prognoses (n=82). Moreover, we clarified the expression of autoantibodies against FH in patients with chronic hepatitis B (n=60) and hepatitis B virus-related liver cirrhosis (n=60). The dynamic changes in the titers of autoantibodies against FH were analyzed by sample collection at multiple time points during the clinical course of eight ACLF patients with different prognoses. Results: Ultimately, 15 LFAAs were screened and identified by the immunoproteomic approach. Based on ELISA-based verification, anti-FH/Fumarate hydratase protein autoantibody was chosen to verify its expression in ACLF patients. ACLF patients had a much higher anti-FH autoantibody frequency (76.8%) than patients with liver cirrhosis (10%, p=0.000), patients with chronic hepatitis B (6.7%, p=0.022), and normal humans (0%, p=0.000). More importantly, the frequency and titer of anti-FH protein autoantibodies in the serum of ACLF patients with a good prognosis were much higher than that of patients with a poor prognosis (83.9% vs 61.5%, p=0.019; 1.41±0.85 vs 0.94±0.56, p=0.017, respectively). The titer of anti-FH autoantibodies showed dynamic changes in the clinical course of ACLF. Conclusions: The anti-FH autoantibody in serum may be a potential biomarker for predicting the prognosis of ACLF.

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        Identifying SDC-Causing Instructions Based on Random Forests Algorithm

        ( Liping Liu ),( Linlin Ci ),( Wei Liu ),( Hui Yang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.3

        Silent Data Corruptions (SDCs) is a serious reliability issue in many domains of computer system. The identification and protection of the program instructions that cause SDCs is one of the research hotspots in computer reliability field at present. A lot of solutions have already been proposed to solve this problem. However, many of them are hard to be applied widely due to time-consuming and expensive costs. This paper proposes an intelligent approach named SDCPredictor to identify the instructions that cause SDCs. SDCPredictor identifies SDC-causing Instructions depending on analyzing the static and dynamic features of instructions rather than fault injections. The experimental results demonstrate that SDCPredictor is highly accurate in predicting the SDCs proneness. It can achieve higher fault coverage than previous similar techniques in a moderate time cost.

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        Study on constitutive model of 05Cr17Ni4Cu4Nb stainless steel based on quasi-static tensile test

        Linlin Zhu,Xiongrong Huang,Hongyu Liu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6

        In order to obtain a constitutive model that can accurately describe the stress flow law of 05Cr17Ni4Cu4Nb stainless steel in extrusion forming process of spherical plain bearings, the quasi-static tensile tests of this material were carried out at room temperature in this paper, the engineering stress-strain curves of the material were obtained. Six constitutive equations were obtained by fitting the stress-strain data between the yield point and the necking point, the errors of the six models with the experimental data were analyzed. The results indicate that the Swift-Voce constitutive model had the highest correlation coefficient, the smallest mean square deviation with the experimental data and the best prediction accuracy at pre-necking and post-necking stage. Therefore, the Swift-Voce constitutive model was selected as the constitutive model of 05Cr17Ni4Cu4Nb stainless steel with large deformation at room temperature, and the finite element simulation technology was used to verify the Swift-Voce constitutive model. Once again, the simulation results show that, the stress-strain curve at prenecking stage of the material is in good agreement with the test data. This constitutive model established in this paper can accurately describe the stress flow behavior of the material at room temperature.

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        Coffin-Siris syndrome in two chinese patients with novel pathogenic variants of ARID1A and SMARCA4

        Liu Mingjie,Wan Linlin,Wang Chunrong,Yuan Hongyu,Peng Yun,Wan Na,Tang Zhichao,Yuan Xinrong,Chen Daji,Long Zhe,Shi Yuting,Qiu Rong,Tang Beisha,Tang Beisha,Chen Zhao 한국유전학회 2022 Genes & Genomics Vol.44 No.9

        Background: Coffin-Siris syndrome (CSS) is a rare congenital syndrome characterized by developmental delay, intellectual disability, microcephaly, coarse face and hypoplastic nail of the fifth digits. Heterozygous variants of different BAF complex-related genes were reported to cause CSS, including ARID1A and SMARCA4. So far, no CSS patients with ARID1A and SMARCA4 variants have been reported in China. Objective: The aim of the current study was to identify the causes of two Chinese patients with congenital growth deficiency and intellectual disability. Methods: Genomic DNA was extracted from the peripheral venous blood of patients and their family members. Genetic analysis included whole-exome and Sanger sequencing. Pathogenicity assessments of variants were performed according to the guideline of the American College of Medical Genetics and Genomics. The phenotypic characteristics of all CSS subtypes were summarized through literature review. Results: We identified two Chinese CSS patients carrying novel variants of ARID1A and SMARCA4 respectively. The cases presented most core symptoms of CSS except for the digits involvement. Additionally, we performed a review of the phenotypic characteristics in CSS, highlighting phenotypic varieties and related potential causes. Conclusions: We reported the first Chinese CSS2 and CSS4 patients with novel variants of ARID1A and SMARCA4. Our study expanded the genetic and phenotypic spectrum of CSS, providing a comprehensive overview of genotype-phenotype correlations of CSS.

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