Steam reforming of α-methylnaphthalene as a model compound of biomass tar over Ni-based catalyst for hydrogen-rich gas

Xiao Lv,Jun Xiao,Tingting Sun,Xiaodong Huo,Min Song,Laihong Shen 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.2

Tar is a barrier to limit the development of biomass gasification. Catalytic steam reforming experiments using α-methylnaphthalene (MNP) as a model tar compound were carried out in the two-stage reactor system (TSR). Based on response surface methodology, the effects of TSR temperatures and the molar ratio of steam to carbon (S/C) on MNP reforming performances were analyzed using the Li-modified Ni-based catalyst (NBC). The results show that the proper introduction of H2 is able to improve significantly the MNP conversion, specially at lower temperatures. Furthermore, it is more appropriate for the modified catalysts by Li and Mg to be loaded in the first reactor due to their significant promotion to hydrocracking reactions, and it is favorable to place the Ni/Al catalyst in the second reactor for H2-rich gas. Additionally, the carbon deposition resistance of the NBC modified by Li exhibits better than that of the NBC modified by Mg.

Bioinformatic Prediction of SNPs within miRNA Binding Sites of Inflammatory Genes Associated with Gastric Cancer

Song, Chuan-Qing,Zhang, Jun-Hui,Shi, Jia-Chen,Cao, Xiao-Qin,Song, Chun-Hua,Hassan, Adil,Wang, Peng,Dai, Li-Ping,Zhang, Jian-Ying,Wang, Kai-Juan Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2

Polymorphisms in miRNA binding sites have been shown to affect miRNA binding to target genes, resulting in differential mRNA and protein expression and susceptibility to common diseases. Our purpose was to predict SNPs (single nucleotide polymorphisms) within miRNA binding sites of inflammatory genes in relation to gastric cancer. A complete list of SNPs in the 3'UTR regions of all inflammatory genes associated with gastric cancer was obtained from Pubmed. miRNA target prediction databases (MirSNP, Targetscan Human 6.2, PolymiRTS 3.0, miRNASNP 2.0, and Patrocles) were used to predict miRNA target sites. There were 99 SNPs with MAF>0.05 within the miRNA binding sites of 41 genes among 72 inflammation-related genes associated with gastric cancer. NF-${\kappa}B$ and JAK-STAT are the two most important signaling pathways. 47 SNPs of 25 genes with 95 miRNAs were predicted. CCL2 and IL1F5 were found to be the shared target genes of hsa-miRNA-624-3p. Bioinformatic methods could identify a set of SNPs within miRNA binding sites of inflammatory genes, and provide data and direction for subsequent functional verification research.

Research on the Relationship Between Serum Levels of Inflammatory Cytokines and Non-small Cell Lung Cancer

Song, Xiao-Yun,Zhou, Shi-Jie,Xiao, Ning,Li, Yun-Song,Zhen, De-Zhi,Su, Chong-Yu,Liu, Zhi-Dong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.8

Aims: This study was conducted to evaluate the levels of TNF-${\alpha}$, IL-6, IL-8 and VEGF in serum of patients with non- small cell lung cancer, for assessing their possible diagnostic and prognostic roles. Methods: We enrolled 48 patients newly diagnosed with non-small cell lung cancer and 40 healthy controls. TNF- ${\alpha}$, IL-6 and IL-8 levels were measured in the serum of all the subjects with specific radioimmunoassay kits, while EGF was analyzed by sandwich enzyme immunoassay techniques. Results: A statistically significant difference was observed between lung cancer patients and the control group regarding the values of TNF-${\alpha}$, IL-6, IL-8 and VEGF in serum. Moreover, TNF-${\alpha}$, IL-8 and VEGF levels were higher in patients with advanced stages compared to early stages. In addition, higher serum levels of TNF-${\alpha}$, IL-6, IL-8 and VEGF were found in smokers than in non-smokers, both in patients and controls. Conclusion: Serum levels of TNF-${\alpha}$, IL-6, IL-8 and VEGF were all elevated in lung cancer patients, suggesting that inflammatory cytokines could be jointly used as a screening tool. Though TNF-${\alpha}$, IL-8 and VEGF levels were related to advanced disease, long-term survival studies of NSCLC patients should be performed to confirm whether they can act as biomarkers of advanced disease. In addition, smoking would be an important contributor to the processes of inflammation and lung cancer.

HIF-1α and GLUT1 Gene Expression is Associated with Chemoresistance of Acute Myeloid Leukemia

Song, Kui,Li, Min,Xu, Xiao-Jun,Xuan, Li,Huang, Gui-Nian,Song, Xiao-Ling,Liu, Qi-Fa Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.4

Aims: Much evidence suggests that increased glucose metabolism in tumor cells might contribute to the development of acquired chemoresistance. However, the molecular mechanisms are not fully clear. Therefore, we investigated a possible correlation of mRNA expression of HIF-$1{\alpha}$ and GLUT1 with chemoresistance in acute myeloid leukemia (AML). Methods: Bone marrow samples were obtained from newly diagnosed and relapsed AML (M3 exclusion) cases. RNA interference with short hairpin RNA (shRNA) was used to stably silence GLUT1 or HIF-$1{\alpha}$ gene expression in an AML cell line and HIF-$1{\alpha}$ and GLUT1 mRNA expression was measured by real-time quantitative polymerase chain reaction assay (qPCR). Results: High levels of HIF-$1{\alpha}$ and GLUT1 were associated with poor responsiveness to chemotherapy in AML. Down-regulation of the expression of GLUT1 by RNA interference obviously sensitized drug-resistant HL-60/ADR cells to adriamycin (ADR) in vitro, comparable with RNA interference for the HIF-$1{\alpha}$ gene. Conclusions: Our data revealed that over-expression of HIF-$1{\alpha}$ and GLUT1 might play a role in the chemoresistance of AML. GLUT1 might be a potential target to reverse such drug resistance.

Weighted FP-Tree Mining Algorithms for Conversion Time Data Flow

Xiao-jun Chen,Jia Ke,Qian-qian Zhang,Xin-ping Song,Xiao-ming Jiang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.1

The data distribution in the data streams usually changes dynamically with time. Traditional mining algorithms based on transaction are difficult to establish the correlation between time characteristics and relationship features, thus making the results inaccurate. By analyzing the problems in the processing of time data stream, we put forward the concept of time gap degrees and design a mining algorithms based on weighted FP-Tree. We introduce the concept of FP-Tree node weights to transform the time data dynamically and excavate the data stream association rules. The experiments performed on the actual data set show that the algorithm can improve the recall and precision while consumes comparable computational time.

Recent Studies Conducted in Environmental Health Field in KMC : Analyse the interaction of Combined-pesticide

( Xiao Xiao Song ) 한국환경보건학회(구-한국환경위생학회) 2004 Current Challenges and Advances in Environmental H Vol.- No.-

Over-expression of StLCYb increases b-carotene accumulation in potato tubers

Xiao-yan Song,Wen-jiao Zhu,Rui-min Tang,Jing-hui Cai,Min Chen,Qing Yang 한국식물생명공학회 2016 Plant biotechnology reports Vol.10 No.2

Lycopene b-cyclase (LCYb) is involved in the first step of the b-branch synthetic pathway of carotenoids from lycopene in plants. In this study, to explore the possibility of regulating b-carotene synthesis via the b-branchspecific pathway in potato, StLCYb gene was first isolated from potato cultivar Desiree, and its open reading frame was 1503 bp long without intron. The protein sequence of StLCYb showed high similarity with that of LCYbs in other species such as SlLCYb1, CaLCYb, NtLCYb and ApLCYb. StLCYb was expressed in all tissues and the highest level was observed in tubers followed in flowers, and the lowest level was in roots. HPLC detected an about 1.5–1.9 times increase in b-carotene content of transgenic potato tubers, in which the gene StLCYb was overexpressed, compared with the wild-type control. Besides, the expression levels of carotenoid-related genes StPSY, StPDS, StZDS, StCHYb and StZEP transcripts in the transgenic lines were significantly higher than in the wild-type control, which implied a positive regulation in promoting carotenoid synthesis. All these results suggest that b-carotene content in potato tubers could be regulated by modulating StLCYb expression.

Construction of National Fitness Online Platform System Based on Mobile Internet Technology

Xiao, Haibin,Cao Yang⋅Song,Song. Jeho 한국스포츠학회 2020 한국스포츠학회지 Vol.18 No.2

최근 몇 년 사이 국민체력이 화두가 되고 있다. 어떻게 하면 건강하고 효과적으로 운동할 수 있을지가 시급히 해결 해야 할 수 있다. 정보 공유 플랫폼으로서 인터넷 플랫폼은 편리하고 빠른 피트니스 안내 서비스를 제공할 수 있으며 국민 피트니스 활동에 중요한 역할을 한다. 매스 스포츠 피트니스 가이드에 인터넷을 적용하면 피트니스 지식의 편리한 획득에 도움이 되며, 매스 피트니스의 과학적 특성과 정확성을 높일 수 있다. 모바일 인터넷을 기반으로 하는 국민 피트니스 온라 인 플랫폼은 모바일 인터넷 기술이 결합된 플랫폼으로 시민들이 피트니스 기록, 교육 동영상, 결과 피드백 등 3가지 측면에 서 피트니스 과제를 완성할 수 있도록 지원한다. 사용자 피트니스 비디오의 추천을 완료하기 위해 플랫폼은 비디오 기반의 협업 필터링 추천 알고리즘을 사용한다. 이 플랫폼은 인기 패널티와 추천 콘텐츠의 풍부함을 증가시켰다. 플랫폼을 통해 현재의 피트니스 가이드 네트워크 플랫폼에 존재하는 문제점을 발굴하고, 타겟팅된 개발 대책과 제안을 제시한다. In recent years, national fitness has become a hot topic. How to exercise healthily and effectively is an urgent problem to be solved. As an information sharing platform, the Internet platform can provide convenient and fast fitness guidance services and plays an important role in national fitness activities. The application of the Internet in mass sports fitness guidance is conducive to the convenient acquisition of fitness knowledge, and can increase the scientific nature and accuracy of mass fitness. The national fitness online platform based on mobile internet is a combination of mobile internet technology, which assists citizens to complete fitness tasks from three aspects: fitness records, teaching videos and result feedback. To complete the recommendation of user fitness videos, the platform uses video-based collaborative filtering recommendation algorithm. The platform has increased popularity penalties and the richness of recommended content. Through the platform, the problems existing in the current fitness guidance network platform are discovered, and targeted development countermeasures and suggestions are put forward.

New MIT Control Strategy Combined with Iterative Learning Control

Xiao Song,Jingzhuo Shi 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.7

As the pioneer of model reference adaptive control (MRAC) method, MIT control strategy is still used in various practical applications. In this paper, MIT is applied to the speed control of ultrasonic motor, trying to use a relatively simple control method to obtain good control performance. However, MIT control strategy only adjusts the gain, so it is difficult to achieve a large correction of the system’s dynamic characteristics, which limits the actual performance. To solve this problem, two improved MIT control strategies based on iterative learning are proposed in this paper to enhance the control performance. Both methods adopt the P-type iterative learning control (P-ILC) strategy with simplest structure. One is to connect the P-ILC controller with the MIT controller in series to adjust the given value of the MIT controller in real time. The other is to use the P-ILC controller to adjust the adaptive gain of the MIT controller in real time, so as to enhance its control freedom and adaptive ability to deal with complex objects. The experimental results show that the proposed control strategies have their own advantages and can significantly improve the control performance after finite iterative learning processes.

Efficient Measurement Method for Spatiotemporal Compressive Data Gathering in Wireless Sensor Networks

( Xiao Xue ),( Song Xiao ),( Lei Quan ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.4

By means of compressive sensing (CS) technique, this paper considers the collection of sensor data with spatiotemporal correlations in wireless sensor networks (WSNs). In energy-constrained WSNs, one-dimensional CS methods need a lot of data transmissions since they are less applicable in fully exploiting the spatiotemporal correlations, while the Kronecker CS (KCS) methods suffer performance degradations when the signal dimension increases. In this paper, an appropriate sensing matrix as well as an efficient sensing method is proposed to further reduce the data transmissions without the loss of the recovery performance. Different matrices for the temporal signal of each sensor node are separately designed. The corresponding energy-efficient data gathering method is presented, which only transmitting a subset of sensor readings to recover data of the entire WSN. Theoretical analysis indicates that the sensing structure could have the relatively small mutual coherence according to the selection of matrix. Compared with the existing spatiotemporal CS (CS-ST) method, the simulation results show that the proposed efficient measurement method could reduce data transmissions by about 25% with the similar recovery performance. In addition, compared with the conventional KCS method, for 95% successful recovery, the proposed sensing structure could improve the recovery performance by about 20%.