Characteristics of lipoxygenase-based and lipoxygenase-deficient soy yogurt with modified okara

Xiujuan Wang,Yue Chen,Yuhua Wang,Weichang Dai,Chun Hong Piao,Hansong Yu 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.13

Lipoxygenase-based and lipoxygenase-deficientokara were modified by Kluyveromyces marxianus fermentation,then adding modified okara back to the correspondingsoymilk to prepare soy yogurt. Thephysicochemical properties, texture, and volatile componentsof soy yogurt were characterized. The results showedthat okara modified by Kluyveromyces marxianus fermentationwas rich in soluable dietary fiber and was impartedbetter water-holding capacity, swelling capacity, and oilholdingcapacity. The soy yogurt with the modified okarawas greatly enhanced in its appearance, texture and wasrelatively stable during storage. Moreover, lipoxygenasebasedsoy yogurt had a unique soybean flavor whilelipoxygenase-deficient soy yogurt had a slight beany flavorand soybean flavor. This article guides a bio-modifiedmethod for okara and provides a theoretical basis for thefurther development and application of soy yogurt withhigh dietary fiber as well as lipoxygenase-deficient soyyogurt.

DES Software for Computer Interlocking System

Wang Xiujuan,Keyseo Lee,Jaeho Lee,Youngsoo Park,Jaehoon Lee,Hyunduck Jeon,Hojoong Ryoo,Heegap Yang 한국철도학회 2000 철도저널 Vol.3 No.3

DES software is a Computer Aided Design(CAD) tool. It is built based on objected-oriented principle. Utilizing strong processing capability and quick calculation of computer, it can search out all possible routes, and give out interlocking table on the base of chosen routes by user. It can provide a large number of data for computers included in computer interlocking system. It is efficient and reliable.

Genipin-Crosslinked, Immunogen-Reduced Decellularized Porcine Liver Scaffold for Bioengineered Hepatic Tissue

Xiujuan Wu,Yujia Wang,Qiong Wu,Yi Li,Li Li,Jing Tang,Yujun Shi,Hong Bu,Ji Bao,Mingjun Xie 한국조직공학과 재생의학회 2015 조직공학과 재생의학 Vol.12 No.6

Liver disease affects millions of patients each year worldwide. Decellularized biologic matrices are plausible biomedical materials for bioengineered replacement hepatic tissue. However, one of the concerns for its safe medical application is the lack of objective assessment of the immunogen within the materials and in vivo immune responses to the matrices. The purpose of this study was to produce immunogen- reduced and biocompatible matrices from porcine liver. Whole porcine livers were perfusion decellularized and cross-linked with glutaraldehyde (GA) or genipin (GP). Proteins were extracted, and the migratory response of human leukocytes toward protein extracts was examined using an in vitro migration chamber. In addition, biopsy specimens of decellularized scaffolds were implanted subcutaneously into rodents to investigate scaffold immunogenicity. Histological staining confirmed cellular clearance from pig livers, with removal of nuclei and cytoskeletal components and widespread preservation of structural extracellular molecules. Polymerase chain reaction analysis showed that galactose-alpha-1,3-galactose-beta-1,4-N-acetylglucosamine (1,3 gal), swine leukocyte antigen, and porcine endogenous retrovirus were completely removed in the matrices. Decellularization significantly reduced the migration of monocytes compared with native porcine tissue. Although the proportion of transmigrating lymphocytes was much lower, repeating the cross-linking procedure reduced the migratory response. After implantation for 4 weeks, the decellularized and native samples were degraded, and the GA-treated group demonstrated a severe inflammatory reaction; however, minimal inflammatory cell infiltration was seen in the GPtreated group during the 8-week investigation period. In conclusion, our study provided evidence that GP crosslinking could significantly reduce the immunogenicity of decellularized liver biomaterials.

Cryptotanshinone ameliorates placental oxidative stress and inflammation in mice with gestational diabetes mellitus

Na Wang,Xiujuan Dong,Dandan Shi,Na Li,Qun Zhang 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.7

Gestational diabetes mellitus (GDM) is a conditionaldiabetes which is defined as any degree of glucoseintolerance or high blood glucose levels during any phase ofpregnancy. It causes chronic severe damage to health of thepregnant women and their offspring. In this study, we aimedto study the protective effects of Cryptotanshinone on GDMrelatedimpairments. We measured blood glucose levels,serum insulin levels, biochemical indexes, oxidative stress,inflammation and the activation of NF-κB signaling pathwayin the blood and placenta of GDM mice. It is found thatCryptotanshinone significantly decreased blood glucose levels,oxidative stress, inflammation and NF-κB signaling withan increase of serum insulin levels in the placenta and bloodof GDM mice. Taken together, Cryptotanshinone effectivelyameliorated GDM, which suggested that Cryptotanshinone could be served as a promising therapeutic drug for GDMpatients.

The Fabrication of High-Aspect-Ratio Cylindrical Nano Tool using ECM

Yufeng Wang,Ningsong Qu,Yongbin Zeng,Xiujuan Wu,Di Zhu 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.

With the miniaturization of various types of components and devices, micro- and nanometer-scale tools are increasingly in demand. Electrochemical machining (ECM) is a well-established technique for the fabrication of micro tools and nano tips. This paper presents a machining method for the fabrication of a high-aspect-ratio cylindrical nano tool using liquid membrane ECM, in which a straight reciprocating motion is applied to the anodic electrode. The method is based on periodic machining of the anodic rod within the amplitude of the straight reciprocating motion. In this process, the machining rate within amplitude varies periodically, allowing nano tools with high aspect ratios to be obtained by the presented method. Experiments were conducted to verify the proposed method. The influences of applied voltage, electrolyte concentration, amplitude and velocity of the straight reciprocating motion on the fabrication of cylindrical nano-electrode were investigated. By using this method, nano-electrodes with average diameters of several hundred nanometers and aspect ratios up to 70 were successfully fabricated.

Evaluation of freezing tolerance in Actinidia germplasm based on relative electrolyte leakage

Shihang Sun,Xiujuan Qi,Ran Wang,Miaomiao Lin,Jinbao Fang 한국원예학회 2020 Horticulture, Environment, and Biotechnology Vol.61 No.4

Cold stress in winter can have a disastrous eff ect on kiwifruit yield and aff ect geographical distribution. However, freezingtolerance in Actinidia genotypes remains largely unknown. Here, we report changes in metabolite content and enzymeactivity in the shoots of Actinidia genotypes exposed to low-temperature stress (− 5 °C, − 10 °C, − 15 °C, − 20 °C, − 25 °Cand − 30 °C). Moreover, the relative electrolyte leakage method was used to evaluate the freezing tolerance of kiwifruitgermplasm; 51 genotypes from 16 species of Actinidia were evaluated in total. The data revealed that relative electrolyteleakage, proline (Pro), soluble protein, and catalase (CAT) activity changed with diff erent low temperatures. Results showedthat among 16 species, A. kolomikta , A. polygama , and A. arguta had lower LT50 than other species. A. arguta , originatingfrom the northeast of China, exhibited stronger freezing resistance than the ones from other places. There was little diff erencein freezing tolerance between A. chinensis and A. deliciosa . These fi ndings provide new insights into the freezing toleranceability and mechanisms of kiwifruit and further contribute to our understanding of the relationship between freezing toleranceand geographic distribution.

Value of Exhaled Nitric Oxide and FEF25–75 in Identifying Factors Associated With Chronic Cough in Allergic Rhinitis

Xiaofang Liu,Xiangdong Wang,Xiujuan Yao,Yuhong Wang,Yongchang Sun,Luo Zhang 대한천식알레르기학회 2019 Allergy, Asthma & Immunology Research Vol.11 No.6

Purpose: Chronic cough in allergic rhinitis (AR) patients is common with multiple etiologies including cough variant asthma (CVA), non-asthmatic eosinophilic bronchitis (NAEB), gastroesophageal reflux-related cough (GERC), and upper airway cough syndrome (UACS). Practical indicators that distinguish these categories are lacking. We aimed to explore the diagnostic value of the fraction of exhaled nitric oxide (FeNO) and forced expiratory flow at 25% and 75% of pulmonary volume (FEF25–75) in specifically identifying CVA and NAEB in these patients. Methods: Consecutive AR patients with chronic cough were screened and underwent induced sputum, FeNO, nasal nitric oxide, spirometry, and methacholine bronchial provocation testing. All patients also completed gastroesophageal reflux disease questionnaires. Results: Among 1,680 AR patients, 324 (19.3%) were identified with chronic cough, of whom 316 (97.5%) underwent etiology analyses. Overall, 87 (27.5%) patients had chronic cough caused by NAEB, 78 (24.7%) by CVA, 16 (5.1%) by GERC, and 81 (25.6%) by UACS. Patients with either NAEB or CVA (n = 165, in total) were further assigned to a common group designated as CVA/NAEB, because they both responded to corticosteroid therapy. Receiver operating characteristic curves of FeNO revealed obvious differences among CVA, NAEB, and CVA/NAEB (area under the curve = 0.855, 0.699, and 0.923, respectively). The cutoff values of FeNO at 43.5 and 32.5 ppb were shown to best differentiate CVA and CVA/NAEB, respectively. FEF25–75 was significantly lower in patients with CVA than in those with other causes. A FEF25–75 value of 74.6% showed good sensitivity and specificity for identifying patients with CVA. Conclusions: NAEB, CVA, and UACS are common causes of chronic cough in patients with AR. FeNO can first be used to discriminate patients with CVA/NAEB, then FEF25–75 (or combined with FeNO) can further discriminate patients with CVA from those with CVA/NAEB.

User Identification Using Real Environmental Human Computer Interaction Behavior

( Tong Wu ),( Kangfeng Zheng ),( Chunhua Wu ),( Xiujuan Wang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm’s parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

Elucidating Bottlenecks to the Efficient Preparation of AB₅-Hexamer Mucosal Adjuvant Protein LTm by Genetic Engineering

( Di Liu ),( Fabiao Hu ),( Wenpeng Wang ),( Dong Wu ),( Xiujuan He ),( Wenyun Zheng ),( Haipeng Liu ),( Xingyuan Ma ) 한국미생물생명공학회(구 한국산업미생물학회) 2017 Journal of microbiology and biotechnology Vol.27 No.8

Escherichia coli heat-labile enterotoxin (LT) and its non-toxic mutant (LTm) are well-known powerful mucosal adjuvants and immunogens. However, the yields of these adjuvants from genetically engineered strains remain at extremely low levels, thereby hindering their extensive application in fundamental and clinical research. Therefore, efficient production of these adjuvant proteins from genetically engineered microbes is a huge challenge in the field of molecular biology. In order to explore the expression bottlenecks of LTm in E. coli, we constructed a series of recombinant plasmids based on various considerations and gene expression strategies. After comparing the protein expression among strains containing different recombinant plasmids, the signal sequence was found to be critical for the expression of LTm and its subunits. When the signal sequence was present, the strong hydrophobicity and instability of this amino acid sequence greatly restricted the generation of subunits. However, when the signal sequence was removed, abundantly expressed subunits formed inactive inclusion bodies that could not be assembled into the hexameric native form, although the inclusion body subunits could be refolded and the biological activity recovered in vitro. Therefore, the dilemma choice of signal sequence formed bottlenecks in the expression of LTm. These results reveal the expression bottlenecks of LTm, provide guidance for the preparation of LTm and its subunits, and certainly help to promote efficient preparation of this mucosal adjuvant protein.

Detecting Malicious Social Robots with Generative Adversarial Networks

( Bin Wu ),( Le Liu ),( Zhengge Dai ),( Xiujuan Wang ),( Kangfeng Zheng ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.11

Malicious social robots, which are disseminators of malicious information on social networks, seriously affect information security and network environments. The detection of malicious social robots is a hot topic and a significant concern for researchers. A method based on classification has been widely used for social robot detection. However, this method of classification is limited by an unbalanced data set in which legitimate, negative samples outnumber malicious robots (positive samples), which leads to unsatisfactory detection results. This paper proposes the use of generative adversarial networks (GANs) to extend the unbalanced data sets before training classifiers to improve the detection of social robots. Five popular oversampling algorithms were compared in the experiments, and the effects of imbalance degree and the expansion ratio of the original data on oversampling were studied. The experimental results showed that the proposed method achieved better detection performance compared with other algorithms in terms of the F1 measure. The GAN method also performed well when the imbalance degree was smaller than 15%.