Isolation of an Indigenous Imidacloprid-Degrading Bacterium and Imidacloprid Bioremediation Under Simulated In Situ and Ex Situ Conditions

( Guiping Hu ),( Yan Zhao ),( Bo Liu ),( Fengqing Song ),( Min Sheng You ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.11

The Bacterial community structure and its complexity of the enrichment culture during the isolation and screening of imidacloprid-degrading strain were studied using denaturating gradient gel electrophoresis analysis. The dominant bacteria in the original tea rhizosphere soil were uncultured bacteria, Rhizobium sp., Sinorhizobium, Ochrobactrum sp., Alcaligenes, Bacillus sp., Bacterium, Klebsiella sp., and Ensifer adhaerens. The bacterial community structure was altered extensively and its complexity reduced during the enrichment process, and four culturable bacteria, Ochrobactrum sp., Rhizobium sp., Geobacillus stearothermophilus, and Alcaligenes faecalis, remained in the final enrichment. Only one indigenous strain, BCL-1, with imidacloprid-degrading potential, was isolated from the sixth enrichment culture. This isolate was a gram-negative rod-shaped bacterium and identified as the genus Ochrobactrum based on its morphological, physiological, and biochemical properties and its 16S rRNA gene sequence. The degradation test showed that approximately 67.67% of the imidacloprid (50 mg/l) was degraded within 48 h by strain BCL-1. The optimum conditions for degradation were a pH of 8 and 30oC. The simulation of imidacloprid bioremediation by strain BCL-1 in soil demonstrated that the best performance in situ (tea soil) resulted in the degradation of 92.44% of the imidacloprid (100 mg/g) within 20 days, which was better than those observed in the ex situ simulations that were 64.66% (cabbage soil), 41.15% (potato soil), and 54.15% (tomato soil).

Trajectory planning of multi-degree-of-freedom robot with coupling effect

Kunming Zheng,You-Min Hu,Bo Wu 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.1

For a multi-degree-of-freedom (MDOF) robot with flexible components, vibration errors can easily occur during operation. Thus, the position of the end effector inevitably deviates from its desired value and causes failure of the precise trajectory tracking task. To solve this problem, an MDOF KUKA robot is introduced in the present study. We propose a new methodology to investigate the dynamic coupling effect and trajectory planning for the robot. The dynamic coupling effect index is defined for the first time, thereby providing a theoretical basis for the trajectory planning. Moreover, a new trajectory plan is adopted to reduce the vibration errors caused by the coupling effect in the Cartesian coordinate and joint coordinate systems. The advantages of the proposed methodology in improving accuracy and stability are validated by experiments. In addition, the chaos phenomenon is observed, which is the focus of our future study.

A Generalized Hidden Markov Model and Its Applications in Recognition of Cutting States

Feng-Yun Xie,You-Min Hu,Bo Wu,Yan Wang 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.11

In the traditional hidden Markov model (HMM) for statistical learning and classification, aleatory uncertainty because of randomness and epistemic uncertainty that is due to the lack of knowledge are not differentiated. In this paper, a generalized hidden Markov model (GHMM) in the context of generalized interval probability theory is proposed. The parameters of GHMM are in the form of generalized interval probability, which provides a concise representation for the two kinds of uncertainty simultaneously. The generalized versions of the forward-backward, Viterbi, and Baum-Welch algorithms in GHMM are developed. The proposed algorithms take advantage of the algebraic property in the generalized interval probability. These algorithms provide an efficient approach to train the GHMM. The trained GHMM is used for state recognition with the criterion of maximum log-likelihood. A case study on recognizing the cutting states in manufacturing processes is provided to demonstrate the application of GHMM. The interval forms of the cutting signal are considered as the inputting of GHMM. The cutting states are recognized based on the learning algorithm of GHMM. With the two uncertainty components quantified, the reliability of GHMM in state recognition is superior to that of HMM.

Network Intrusion Detection Based on Directed Acyclic Graph and Belief Rule Base

Bang-Cheng Zhang,Guan-Yu Hu,Zhi-Jie Zhou,You-Min Zhang,Pei-Li Qiao,Lei-Lei Chang 한국전자통신연구원 2017 ETRI Journal Vol.39 No.4

Intrusion detection is very important for network situation awareness. While a few methods have been proposed to detect network intrusion, they cannot directly and effectively utilize semi-quantitative information consisting of expert knowledge and quantitative data. Hence, this paper proposes a new detection model based on a directed acyclic graph (DAG) and a belief rule base (BRB). In the proposed model, called DAG-BRB, the DAG is employed to construct a multi-layered BRB model that can avoid explosion of combinations of rule number because of a large number of types of intrusion. To obtain the optimal parameters of the DAG-BRB model, an improved constraint covariance matrix adaption evolution strategy (CMA-ES) is developed that can effectively solve the constraint problem in the BRB. A case study was used to test the efficiency of the proposed DAG-BRB. The results showed that compared with other detection models, the DAG-BRB model has a higher detection rate and can be used in real networks.

코로나-19 이전과 이후 식생활 관련 제로웨이스트 운동 양상과 소비자 반응 비교

박인형 ( In-hyoung Park ),박유민 ( You-min Park ),이철 ( Cheol Lee ),선정은 ( Jung-eun Sun ),호문접 ( Wendie Hu ),정재은 ( Jae-eun Chung ) 대한가정학회 2022 Human Ecology Research(HER) Vol.60 No.1

This study uses text mining compares and contrasts consumers’ social media discourses on dietary related zero-waste movement before and after COVID-19. The results indicate that the amount of buzz on social networks for the zero- waste movement has been increasing after COVID-19. Additionally, the results of frequency analysis and topic modeling revealed that subjects associated with zero-waste movement were more diversified after COVID-19. Although the results of a sentiment analysis and word cloud visualization confirmed that consumers’ positive responses toward the zero-waste have been increasing, they also revealed a need to educate and encourage those who are still not aware of the need for zero-waste. Finally, consumers mentioned only a small number of companies participating in zero-waste movement on SNS, indicating that the level of active involvement by such companies is much lower than that of consumers. Theoretical and educational implications as well as those for government policy-making are considered.

Identification and Mapping of a Thermo-Sensitive Genic Self-Incompatibility Gene in Maize

Xin Ge Lin,Hui Ling Xie,Zhang Ying Xi,Yan Min Hu,Guang Yuan Zhao,Liu Jing Duan,Zong You Hao,Zong Hua Liu,Ji Hua Tang 한국유전학회 2009 Genes & Genomics Vol.31 No.3

In this study, we describe a novel ecological self-incompatibility (SI) line HE97 in maize. The main environmental factors influencing the inbred line characteristics were identified through field sowing trials during a two-year study period (2001 and 2002). The results showed that daily minimum temperature had the greatest effect on floral morphology and breeding system of the SI line. In staminate floret differentiation, when the daily minimum temperature exceeded 24℃, the line exhibited complete self-compatibility; however SI was observed when the daily minimum temperature was below 20℃. Therefore, we characterized the line as exhibiting thermo-sensitive genic self-incompatibility (TGSI). A set of F2 and F2:3 populations, derived from the inbred lines HE97 and Z58, were evaluated for two years to elucidate the TGSI line patterns of inheritance. Classical genetic analyses and QTL mapping results revealed that HE97 self-incompatibility was governed by a single allele, named here as tgsi1. The tgsi1 gene was mapped to chromosome 2 between SSR markers nc131 and bnlg1633, with a distance of 2.40 cM from nc131 and 2.44 cM from bnlg1633.

Genetic Linkage of Genes for a Thermo-sensitive Genic Male Sterility in Maize: The genetic analysis of an TGMS Line Qiong-6ms in maize

Zhi Yuan Fu,Hui Ling Xie,Jian Sheng Li,Yan Min Hu,Zong Hua Liu,Zhong You He,Ji Hua Tang 한국유전학회 2008 Genes & Genomics Vol.30 No.6

Thermo-sensitive genic male sterile (TGMS) lines can provide new options for hybrid seed production using "two-line" system. A set of F2 and BC1 populations derived from the cross between Qiong-6ms and Dan958 were employed to analyze the inheritance of a TGMS line Qiong-6ms and map the TGMS genes in maize. The results demonstrated that the sterility of Qiong-6ms was governed by two duplicative recessive genes, named tms1 and tms2. The gene tms1 was mapped to chromosome 5 linked with the SSR markers umc1355, umc2302 and umc1784 at a distance of 3.0 cM, 1.3 cM and 0.9 cM respectively; while tms2 was localized on chromosome 3, linked with SSR markers bnlg1605 (0.5 cM) and umc2050 (4.2 cM). These markers, which are tightly linked with the tms1 and tms2 genes, will be helpful for marker assisted selection of TGMS lines in maize.

Clinical Efficacy and Prognosis Factors for Advanced Hepatoblastoma in Children: A 6-year Retrospective Study

Zhang, Yi,Zhang, Wei-Ling,Huang, Dong-Sheng,Hong, Liang,Wang, Yi-Zhuo,Zhu, Xia,Hu, Hui-Min,Zhang, Pin-Wei,Yi, You,Han, Tao Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.8

Objective: This study aimed to investigate the effect of multimodality treatment of advanced paediatric hepatoblastoma (HB) and the factors affecting prognosis. Methods: A total of 35 children underwent multimodality treatments consisting of chemotherapy, surgery, interventional therapy, and autologous peripheral blood stem cell transplantation. The patients were followed up every month. Results: Serum AFP levels in 33 out of 35 patients in this study were significantly increased (P = 0.0002). According to the statistical scatter plot, the values of serum AFP on the 25th, 50th, and 75th percentages were 1,210, 1,210 and 28,318 ng/dl, respectively. Of the 35 cases, 21 were stage IV. 18 cases were treated with systemic chemotherapy before surgery, and 3 cases with locally interventional chemotherapy before surgery. Statistical analysis showed that the preferred interventional treatment affected prognosis, and that there was a statistically significant difference (P = 0.024). Some 33 patients completed the follow-up, of which 17 were in complete remission (CR), 5 were in partial remission (PR), 1 became disease progressive (DP), and 10 died. The remission and overall survival rates were 66.7% (22/33) and 69.7% (23/33), respectively. Patients with the mixed HB phenotypes had worse prognoses than the epithelial phenotype (P < 0.001), and patients in stage IV had a lower survival rate than those in stage III (P < 0.001). Conclusion: Multimodality treatment can effectively improve remission rate and prolong the survival of children with advanced HB. In addition, alpha-fetoprotein (AFP), a tumor marker of liver malignant tumors, HB pathological classification, and staging are highly useful in predicting prognosis.