Effects of chitosan oligosaccharide and hyriopsis cumingii polysaccharide on the quality of wheat flour and extruded flour products

Yuan Ke,Beibei Ding,Yang Fu,Miaomiao Zhang,Shensheng Xiao,Wenping Ding,Heng Yang,Qingyun Lv,Zhuo Zheng,Xuedong Wang 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.7

Effects of chitosan oligosaccharide (COS) andhyriopsis cumingii polysaccharide (HCP) on the quality ofwheat flour and corresponding extruded flour productswere investigated in this work. The results showed thatboth COS and HCP are conducive to the improvement ofdough quality. Moreover, compared to control groupsamples, the moisture content, expansion ratio and oilabsorption rate of the samples were increased and thehardness were decreased with the addition of COS. Thesephenomena indicate the quality of extruded flour productsbecame better in the presence of COS as well. However,HCP has little or no effect on the quality of extruded flourproducts may be due to its degradation under high temperatureand pressure extrusion. COS with higher stabilityexhibited better improvement effects on the quality ofextruded flour products and showed a promising prospectfor application in extruded food industry.

Long Non-coding RNA CASC15 Promotes Intrahepatic Cholangiocarcinoma Possibly through Inducing PRDX2/PI3K/AKT Axis

Yuan Zhang,Lufei Zhang,Sinan Lu,Yucheng Xiang,Cheng Zeng,Tianyu He,Yuan Ding,Weilin Wang 대한암학회 2021 Cancer Research and Treatment Vol.53 No.1

Purpose Intrahepatic cholangiocarcinoma (ICC) is one of the most common liver primary tumors but its treatments are limited. Bioinformatics showed that the expression level of long non-coding RNA cancer-associated susceptibility 15 gene (CASC15) is correlated with ICC progression, but its functional mechanism remains unclear. Materials and Methods Tissues from ICC patients, tumor and adjacent tissue, were used for detection of the expression of CASC15. Clinical data were also collected for clinicopathologic and survival analysis. Short interfering RNA and lentiviral short hairpin RNA were used to knock down CASC15 and PRDX2 expression in ICC cell lines, for the analysis of changes of cell function and xenografts. RNA-pulldown and RNA immunoprecipitation assays were used to detect RNA-binding protein, PRDX2. Male nude mice were used for ICC xenografts, and livers were collected after 4 weeks for immunohistochemistry. Results CASC15 is highly expressed in ICC tissues and is related to higher TNM stage. Knockdown of CASC15 in ICC cells reduced cell proliferation, migration, invasiveness and increased apoptosis, and G1/S block. PRDX2 bound to CASC15. Knockdown of CASC15 decreased PRDX2 expression which was rescued by the inhibition of proteasome formation. Downregulation of PRDX2 resulted in G1/S block, reduced ICC cell invasion. Downregulation of CASC15 inhibited phosphoinositide 3-kinase (PI3K)/AKT/c-Myc pathway through downregulating of PRDX2 and overexpressed PRDX2 rescued the block. CASC15 knockout in ICC xenografts suppressed tumor development in vivo, decreased the expression of PRDX2 and Ki67 and inhibited PI3K/AKT pathway. Conclusion CASC15 promotes ICC possibly by targeting PRDX2 via the PI3K/AKT pathway, indicating poor prognosis and high degree of malignancy of ICC.

OSCILLATIONS IN A SUNSPOT WITH LIGHT BRIDGES

Yuan, Ding,Nakariakov, Valery M.,Huang, Zhenghua,Li, Bo,Su, Jiangtao,Yan, Yihua,Tan, Baolin IOP Publishing 2014 The Astrophysical journal Vol.792 No.1

<P>The Solar Optical Telescope on board Hinode observed a sunspot (AR 11836) with two light bridges (LBs) on 2013 August 31. We analyzed a two-hour Ca II H emission intensity data set and detected strong five-minute oscillation power on both LBs and in the inner penumbra. The time-distance plot reveals that the five-minute oscillation phase does not vary significantly along the thin bridge, indicating that the oscillations are likely to originate from underneath it. The slit taken along the central axis of the wide LB exhibits a standing wave feature. However, at the center of the wide bridge, the five-minute oscillation power is found to be stronger than at its sides. Moreover, the time-distance plot across the wide bridge exhibits a herringbone pattern that indicates a counter-stream of two running waves, which originated at the bridge's sides. Thus, the five-minute oscillations on the wide bridge also resemble the properties of running penumbral waves. The five-minute oscillations are suppressed in the umbra, while the three-minute oscillations occupy all three cores of the sunspot's umbra, separated by the LBs. The three-minute oscillations were found to be in phase at both sides of the LBs. This may indicate that either LBs do not affect umbral oscillations, or that umbral oscillations at different umbral cores share the same source. It also indicates that LBs are rather shallow objects situated in the upper part of the umbra. We found that umbral flashes (UFs) follow the life cycles of umbral oscillations with much larger amplitudes. They cannot propagate across LBs. UFs dominate the three-minute oscillation power within each core; however, they do not disrupt the phase of umbral oscillation.</P>

Kernel Reference Set and Its Computation Algorithm

Ding-Yuan Bian,Qi-Wei Ge,Qian Zhu,Qian-Ming Shao 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7

This paper proposes a new concept of graphs: kernel reference set. A kernel reference set is a fraction of vertices in a graph such that if their positions are known, positions of all other vertices can be derived from information of the distance matrix. We present an algorithm to find kernel reference set of graphs. Because the problem of kernel reference set is firstly proposed in this paper, and the theoretical limit of computation complexity is unknown currently. So we implement our algorithm with C to do the simulation. From simulation results, we verified the validity of our algorithm and evaluate its performance. Inspired by anchor nodes in wireless sensor networks, kernel reference set could be used to analyze anchorbased localization schemes of WSNs applications such as coalmine security monitoring, etc.

Privet golden leaves adapt unexpectedly well to light changes

Ming Yuan,Bo Huang,Li-Hua Dong,Qiao-Hong Han,Yong Yang,Chun-Bang Ding,Chao Hu,Yang-Er Chen,Zhong-Wei Zhang,Shu Yuan 한국원예학회 2020 Horticulture, Environment, and Biotechnology Vol.61 No.4

Golden-leaf privet ( Ligustrum × vicaryi ) is widely used as a horticultural shrub because of its upper golden leaves, butits lower leaves are green. However, the putative mechanisms of its upper golden leaves and the leaf color changes inresponse to light shifts have not been well studied so far. Here, chlorophylls (Chl), carotenoids, and Chl precursors from bothgolden and green leaves grown in full sunlight (approximately 1200 μmol photons m −2 s −1 at noon) or low-light conditions(180 μmol m −2 s −1 ) were determined spectrophotometrically. In addition, their gas exchange parameters and Chl fl uorescencewere measured in situ. Metabolic fl ux analysis of chlorophyll intermediates indicated that the conversion of prochlorophyllideto chlorophyllide was signifi cantly blocked in golden leaves when compared with green leaves. Green leaves showed higherphotosynthetic capacity in low light than golden leaves, but golden leaves presented unexpectedly stronger photosyntheticcapacity and lower reactive oxygen species accumulation under the high-light condition. Furthermore, golden leaves showeda higher level of nonphotochemical quenching (NPQ) after the light-to-dark shift and presented a stronger adaptive abilityto a broad range of light environments. Higher NPQ values and less oxidative damage in golden leaves may be correlatedwith their higher carotenoid levels. The results imply that lower chlorophyll levels and higher carotenoid levels in canopyleaves may help privet plants acclimate better to illumination changes. This study demonstrates the key role of irradiance ingenerating the two types of Ligustrum × vicaryi leaves and sheds a light on cultivation of other ornamental foliage plants.

Effect of Fluorescence Light on Phenolic Compounds and Antioxidant Activities of Soybeans (Glycine max L. Merrill) during Germination

Ming Yuan,Xuejing Jia,ChunBang Ding,Haiqiong Zeng,Lei Du,Shu Yuan,Zhongwei Zhang,Qi Wu,Chao Hu,Jing Liu 한국식품과학회 2015 Food Science and Biotechnology Vol.24 No.5

Effects of light on phenolic compounds and antioxidant activities during germination of soybean seeds were studied. Soybean seeds were germinated in the presence and absence of light. Chlorophylls and morphological characteristics of sprouts were evaluated daily. Antioxidant activities were determined using 2,2-diphenyl-1-picryl-hydrazyl (DPPH) and ferric reducing activity power methods. Morphological characteristics of light-grown sprouts were superior to dark-grown sprouts and the metabolism of phenolic compounds was regulated by light. Light treatment improved accumulation of phenolic compounds in soybean sprouts and increased antioxidant activities. The optimum harvest time of light-grown sprouts was on the seventh day when sprouts achieved the best nutraceutical value. Green sprouts can serve as a good vegetable source for the human diet.

History and reality of Chinese spices

XIE Ding-Yuan 부산대학교 문화유산보존연구소 2008 한국전통복식연구소 학술심포지움 Vol.- No.-

A Computer Model for Simulating the Bicycle Rider's Behavior in a Virtual Riding System

( Wei-long Ding ),( Xiao Ding ),( Kai Chen ),( Zang-xin Wan ),( Yan Xu ),( Yuan-jing Feng ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.3

People are increasingly demanding to experience realistic behavior of virtual characters in computer games. In this article, we build a computer model for simulating a bicycle rider’s behavior in a virtual riding system. A method to calculate the speed of a bicycle rider is proposed to improve the reality in a virtual riding system. In this method, the property of physical energy is introduced, and the bicycle-riding speed is calculated in real time according to the relationship between the rider’s physical energy and bicycle-riding speed. Then based on the analysis of the behavior of a cyclist in a real competition, various behaviors of the virtual rider are designed and a behavior-tree for the virtual bicycle rider is constructed accordingly. On the basis of these, a virtual riding system is developed. The experiments results show that our system can simulate the behavior of a virtual bicycle rider, and thus encourage exercise on a stationary bicycle.

Rapid growth in greenhouse gas emissions from the adoption of industrial-scale aquaculture

Yuan, Junji,Xiang, Jian,Liu, Deyan,Kang, Hojeong,He, Tiehu,Kim, Sunghyun,Lin, Yongxin,Freeman, Chris,Ding, Weixin Springer Science and Business Media LLC 2019 Nature climate change Vol.9 No.4

Research Trend of Creatine in Sport Using Social Network Analysis

( Yuan Wang ),( Kyungsik Kim ),( Wang Songjia ),( Ding Pan ),( Shao Qingyang ) 한국융합과학회 2022 한국융합과학회 국제학술대회자료집 Vol.2022 No.0

Since Michel Eugène Chevreul(1786-1889) firstly discovered Creatine in skeletal muscle in 1832[(Volek JS et al., 2012), Research on creatine has caught scholars' attention. Research results showed that Creatine was consumed in the diet and synthesized in the body and is widely utilized as an ergogenic aid for strength and performance gains(Wax B et al.,2021). In addition, a large body of compelling evidence demonstrated high-intensity exercise capacity and lean body mass would be improved by creatine supplementation(Cooper R et al.,2012).When used appropriately, creatine has very few adverse effects and has repeatedly proven to be safe for clinical use with similar beneficial applications across all age groups. In addition, Creatine supplementation has always been considered as a feasible way to treat muscular, neuromuscular or neuromuscular diseases. Including the treatment of arthritis, chronic congestive heart failure, disuse atrophy, circular atrophy, muscle phosphorylase deficiency, Huntington's disease, diversified neuromuscular diseases, mitochondrial diseases, muscular dystrophy and neuroprotection, B. Willer(2000) analyzed effects of creatine supplementation on muscle weakness in patients with rheumatoid arthritis, results of which showed that creatine may be beneficial to neuromuscular disorders. Also, M. Flint(1999 )’ research results indicated that Creatine was twice as effective as the current prescription drug riluzole in prolonging the liver life of rats with amyotrophic lateral sclerosis, which may be on account that available energy of injured nerve cells increased and chemical pathways causing cell death are blocked. Although many qualitative studies on creatine have been conducted, few studies on quantitative analysis of creatine were found. Therefore, three questions arouse the author's thinking as following, How is Research Trend of Creatine in Sport? What are hot topics on creatine research in recent years? In order to respond to these questions, it is necessary to analyze the changes in Creatine research over past years. Recently, social network analysis, which focuses on analyzing the degree centrality and betweenness centrality of keywords in a social network composed of core keywords, has been widely utilized in various research fields to identify research trends and assess sub-research fields. Researchers describe that the research trends can bee derived in a given field by observing the changes of core keywords in networks(Kim & Yim, 2017). In this paper, centrality and frequency changes of top keywords on Creatine by periods were conducted to identify research trends and assess detailed study areas. Methods In this study, detailed bibliographic information of 513 articles on Creatine was collected through searching the Web of Science. The bibliographic information includes journal title, article title, authors, abstract, keyword, and year of publication. To analyze the trends of Yoga therapy by specific periods, we divided the analyzed period into four parts (2000-2005, 2006-2010, 2011-2015, 2016-2020). When identifying research trends using social network analysis, the main element used was the abstract of articles, with the keywords in abstracts being extracted through textmining. To identify research trends, centralities and cohesion group analysis were performed using python and Netminer. First, degree centrality analysis and betweenness analysis were performed to identify keywords with influence within quantified abstract data to identify the development trends of Yoga therapy research. Second, cohesion group analysis was conducted to identify detailed sub-research areas within the network (Kim, 2018;Kim et al., 2020). Findings and applications The findings for the quantitative abstract data and visual network analyses are as follows. By counting, combining, and analyzing the keywords in Creatine research across the four different analyzed periods. The analysis results are as follows, degree centrality of top keywords, such as supplementation, effect, muscle, exercise, increase, placebo was high in four periods, which implied that the similar hot topics on effect of Creatine as supplementation on muscle in the four periods. Maybe the difference between Creatine and placebo during exercise also was the top topics during the four periods. Besides, keywords with high degree centrality also showed a high tendency in betweenness centrality. By contrary, compared the keywords of 4 periods, Differences can be noticed in research topics involving period, man and weight during 2006 and 2010y, and during 2016 and 2020y, keywords ck, player, supplement, serum and measure were covered, which indicated that new topics on ck, player, supplement, serum and measure were conducted, but the other two periods of research didn’t involve. In addition, four specific areas centered on creatine and CK, Creatine and effect, creatine and placebo effect, and Creatine and performance, were derived through cohesion group analysis. o it can be said that the results of keyword network analysis clearly show the sub-research fields of Creantine, which allow future researchers to make more well-informed decisions as to which detailed study areas to focus on. On the other hand, the overall research trend of Yoga therapy is confirmed through keyword network analysis, which will play a supplementary role in the further sub-research on Creatine.