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RVA Property analysis of rice varieties under different ecological condition of Yunnan Plateau
Zhen-Hua Zhu,Ki-Young Kim,Bo-Kyeong Kim,Lu-Yuan Dai,Jae-Kwon Ko 한국작물학회 2008 한국작물학회 학술발표대회 논문집 Vol.2008 No.10
Starch RVA profile parameters serve as important indices in the estimation of rice cooking and eating quality. Four cold- tolerant and five cold-sensitive japonica rice varieties grown at 3 different altitudes in Yunnan plateau were used in this experiments. RVA parameters including peak viscosity(PKV), hot viscosity(HTV), final viscosity(FLV), breakdown viscosity(BDV), setback viscosity(SBV) and pasting temperature(PaT) were investigated. SBV and PaT of cold tolerant varieties and PKV, BDV and SBV of cold-sensitive varieties were significantly influenced by environments. The variances of RVA parameters were affected by genotype×environment interactions in cold tolerant and sensitive varieties. The coefficients of variation of RVA parameters except for SBV in cold tolerant varieties were lower than those in cold sensitive varieties. HTV, FLV and SBV of cold tolerant varieties were significantly lower, while PKV, BDV and PaT were significantly higher than those of cold sensitive varieties. With altitude increasing, SBV and PaT of cold sensitive varieties increased significantly, whereas PKV, HTV, FLV and BDV decreased significantly. However, PKV, BDV and PaT of cold tolerant varieties gradually increased while HTV, FLV and SBV increased and then gradually decreased with altitude rising. These results suggested that cooking and eating quality would be improved by improving cold tolerance of rice varieties in breeding program.
Simulation Analysis of Flexible Track Drilling Machines Based on ADAMS
Zhong-gang Zhu(주중강),Qi Zhang(장기),Jian-Hua Lv(려건화),Zhen Qin(진진),Sung-Ki Lyu(류성기) 한국기계가공학회 2018 한국기계가공학회지 Vol.17 No.5
Flexible track drilling machines are credited with important applications in the area of aircraft manufacturing because of their portability, quick installation capabilities, and high efficiency. However, their structures are special and the constitution principles and motion characteristics are difficult to control, increasing the development costs and research cycle in the context of the technology blockade of foreign companies. The simulation analysis of flexible track drilling machines can be conducted by applying virtual prototypes, shortening the development cycle and reducing the cost. In this paper, a model of a machine is established by using the SolidWorks software and imported into ADAMS to conduct kinematic and dynamic simulation analysis. During the analysis, the feasibility of the configuration is checked, a reasonable driving motion is chosen, potential deficiencies are found, and improvement actions are raised.
Shao, Juan,Fang, Peng-Hua,He, Biao,Guo, Li-Li,Shi, Ming-Yi,Zhu, Yan,Bo, Ping,Zhang, Zhen-Wen Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.5
Circulatory miR-133a is a marker shared by several types of cancer. In this study we evaluated the feasibility of using miR-133a levels in gastric juice to screen for gastric cancer. A total of 204 samples of gastric juice and mucosa from gastric cancer, atrophic gastritis, gastric ulcer, superficial gastritis and healthy cases were collected by gastroscopy. The results showed that miR-133a levels in gastric juice and carcinoma tissues of patients with gastric cancer were significantly downregulated and positively correlated. Moreover, miR-133a in gastric juice has high operability, high reliability, high sensitivity, high specificity and relative stability, fit for clinical diagnosis of gastric cancer.
김동호,조일현,송동길,Hua Zheng,Li, Jingwei,Zhu, Jiawen,Huang, Xing,Yan, Wei,Xu, Zhen 서울대학교 교육연구소 2021 Asia Pacific Education Review Vol.22 No.2
The self-paced nature of asynchronous online learning (AOL) is recognized as an obstacle that disrupts student success in the learning environment. Without on-time interventions provided by instructors, students find it challenging to use learning strategies tailored to the learning environment, and their use of self-regulated learning (SRL) strategies has been regarded one of the key indicators of success in AOL. To examine how student SRL strategies are associated with their video engagement trajectory and learning outcomes, we used student video engagement data collected at multiple time points. Participants were 159 students who were taking a self-paced asynchronous online statistics course. Results revealed that student video engagement was found to increase over time and student management strategies contributed to the upward change. We also found that the growth of engagement predicted student achievement in the course. Our findings shed light on instructional strategies to support students in AOL contexts.
Biodegrading of Pyrene by a Newly Isolated Pseudomonas putida PL2
Lifeng Ping,Chunrong Zhang,Yahong Zhu,Min Wu,Xiuqing Hu,Zhen Li,Hua Zhao 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.5
Polycyclic aromatic hydrocarbons (PAHs) are a class of persistent organic compounds derived from natural sources and anthropogenic processes, which have been recommended as priority pollutants. Degradation of PAHs in the environment is becoming more necessary and urgent. In the current study, strain PL2, which is capable of growing aerobically on pyrene (PYR) as the sole carbon source, was isolated from hydrocarbons-contaminated soil and then identified as Pseudomonas putida by morphological and physiological characteristics as well as 16S rDNA sequence. The strain PL2 was able to degrade 50.0%of the pyrene at 28°C within 6 days in the presence of 50mg/L pyrene, while the strain PL2 degraded 50.0% of the pyrene within 2 days when a solution of 50 mg/L pyrene and 50 mg/L phenanthrene was used. In addition, phenanthrene was shown to increase the biodegradation efficiency of pyrene by the strain PL2. The order of degradation by the strain PL2 was pH 6.0 > pH 7.0 > pH 5.0 > pH 8.0. The degradation rate of PYR in the soil by the strain PL2reached 70.0% at the 10^th day. The dynamics of PYR degradation in soil by PL2 was fit to the first order model and the strain PL2 was shown to efficiently degrade PYR in soil. The current study showed that P. putida PL2 was a novel bacterium that could degrade pyrene and holds great promise for use in PAHs bioremediation in soil.
( Jun Yao ),( Qing Na Kong ),( Hua Yue Zhu ),( Zhen Zhang ),( Yu Yang Long ),( Dong Sheng Shen ) 한국화학공학회 2015 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.53 No.4
The adsorption characteristics of ammonia on MSWI bottom ash were investigated. The effect of the variation of the landfill environmental parameters including pH, anions and organic matter on the adsorption process was discussed. Results showed that the adsorption could be well described by pseudo-second-order kinetics and Langmuir model, with a maximum adsorption capacity of 156.2 mg/g. The optimum adsorption of ammonia was observed when the pH was 6.0. High level of ion and organic matter could restrict the adsorption to a low level. The above results suggested that MSWI bottom ash could affect the migration of ammonia in the landfill, which is related to the variation of the landfill circumstance.
Prognostic Value of T Cell Immunoglobulin Mucin-3 in Prostate Cancer
Piao, Yong-Rui,Piao, Long-Zhen,Zhu, Lian-Hua,Jin, Zhe-Hu,Dong, Xiu-Zhe Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.6
Background: Optimal treatment for prostate cancer remains a challenge worldwide. Recently, T cell immunoglobulin mucin-3 (TIM-3) has been implicated in tumor biology but its contribution prostate cancer remains unclear. The aim of this study was to investigate the role of TIM-3 as a prognostic marker in patients with prostate cancer. Methods: TIM-3 protein expression was determined by immunohistochemistry and Western blotting in 137 prostate cancer tumor samples and paired adjacent benign tissue. We also performed cell proliferation assays using 3-(4,5-dimethylthiazol-2yl)-2,5-diphenyl- 2H tetrazolium bromide (MTT) and cell invasion assays. The effects of small interfering RNA (siRNA)-mediated knockdown of TIM-3 (TIM-3 siRNA) in two human prostate cancer cell lines were also evaluated. Results: TIM-3 expression was higher in prostate cancer tissue than in the adjacent benign tissue (P<0.001). High TIM-3 expression was an independent predictor of both recurrence-free survival and progression-free survival. TIM-3 protein was expressed in both prostate cancer cell lines and knockdown suppressed their proliferation and invasion capacity. Conclusions: TIM-3 expression is associated with a poor prognosis in prostate cancer. Taken together, our resutlts indicate that TIM-3 is a potential prognostic marker in prostate cancer.
Zhi-gang Tai,Yi-ren Zhu,Yi-bo Yuan,Jin Liu,Zhen-jie Li,Zhi-hua Liu,Kun-miao Wang 대한화학회 2020 Bulletin of the Korean Chemical Society Vol.41 No.3
In this work, a highly sensitive method using a colorimetric probe coupled to dispersive liquid?liquid microextraction (DLLME) was developed for the quantitative determination of dopamine (DA) in serum. The DA in serum was concentrated by DLLME to increase the detection sensitivity and reduce the matrix effects. After the DLLME process, a colorimetric probe of silver triangular nanoparticles (AgTNPs) was used to detect DA, which was based on the plasma transformation of AgTNPs caused by strong interactions with melamine (MA). The results showed that DA could inhibit the aggregation of AgTNPs induced by MA, resulting in the recovery of the surface plasmon resonance (SPR) peak of AgTNPs. Thus, the DLLME method followed by colorimetric probe detection of DA can be achieved. The parameters affecting the proposed method were optimized, under the optimal conditions, a linear calibration curve was obtained over a concentration range of 5 to 250?nM with a recovery from 94.4 to 101.3%. The detection limit was 1.6 nM (at an S/N ratio of 3). The present method was successfully applied to determine DA in human serum.
The Prediction Research of Population Density Based on Deep Learning in Grain Stored Insects
Wu Jian-Jun,Dang Hao,Li Miao,Sun Fu-Yan,Zhu Yu-Hua,Zhen Tong,Zou Bing-Qiang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.10
Precision of pests, in stored grain insect population density, has been a hot and difficult research in pest detection and control system. The accuracy of prediction of pest density will directly affect to warehouse grain temperature and the food quality etc. In order to improve the accuracy, the paper which using the depth study method, established an insects density prediction mode with the depth of the belief network as the core. The model is applied to the algorithm of deep learning predictive control. According to the temperature and humidity of the grain obtained from the actual measurement and the initial density of the pest, we predicted the pest density. Simulation results show that the root mean square error is small between the predictive value and actual value, high prediction accuracy. The deep learning algorithm is applied to the population density of pests is effective.