Failure Isolation based Defense against Internet CXPST-like Attack

Hongjun Liu,Xiaofeng Hu,Dan Zhao,Xicheng Lu 보안공학연구지원센터 2012 International Journal of Hybrid Information Techno Vol.5 No.2

Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium

Liu, Xiao,Zhang, Duan,Wu, Ye-Cun,Yang, Mei,Wang, Qian,Coileá,in, Cormac Ó,.,Xu, Hongjun,Yang, Chen,Abid, Mohamed,Abid, Mourad,Liu, Huajun,Chun, Byong Sun,Shi, Qingfan,Wu, Han-Chun Elsevier 2017 Carbon Vol.122 No.-

<P>Graphene is moving beyond the realm of simple electronic devices toward areas such as advanced biochemical sensing. The infrared (IR) response of graphene, characterized by collective long-lived charge-carrier oscillations, could be applied in IR-absorption spectroscopy, typically used for bio-chemical analysis. However, direct light absorption by propagating plasmons in graphene is forbidden due to the large momentum mismatch. Proposed methods to overcome this bottleneck come at a cost, the use of noble metal particles on graphene reduces the spectral bandwidth and nano-structuring graphene is expensive. Here, we propose a simple and cheap method to fabricate large scale ultra-sensitive graphene based mid-IR biosensors, by introducing dielectric beads to excite mid-IR range plasmons. Interference from waves scattered by the beads excite surface plasmon polaritons, which propagate several micrometers in graphene and enhance the interaction between the molecules and mid-IR light. This method opens an interesting window for the application of graphene in bio-chemical sensing. (C) 2017 Elsevier Ltd. All rights reserved.</P>

Threshold magnetoresistance in anistropic magnetic 2D transition metal dichalcogenides

Xu, Hongjun,Hsu, Ming-Chien,Fuh, Huei-Ru,Feng, Jiafeng,Han, Xiufeng,Zhao, Yanfeng,Zhang, Duan,Wang, Xinming,Liu, Fang,Liu, Huajun,Cho, Jiung,Choi, Miri,Chun, Byong Sun,Ó,Coileá,in, Cormac The Royal Society of Chemistry 2018 Journal of Materials Chemistry C Vol.6 No.12

<P>Recently many novel magnetoresistance (MR) phenomena have been reported from studies of two dimensional (2D) materials. Here, we report on the exotic transport behavior of VS2. A large negative and quadratic MR of −10% is observed for an in-plane magnetic field B up to 14 T. Remarkably, when the applied field deviates from the in-plane orientation there is a threshold field, Bc, and the MR shows a plateau of near zero MR. When B < Bc, only a single state exists and the transition between quantum spin states is forbidden. Our work sheds new light on the MR of magnetic 2D materials with localized states and may spur further investigations.</P>

Polymorphisms in Epigenetic and Meat Quality Related Genes in Fourteen Cattle Breeds and Association with Beef Quality and Carcass Traits

Xuan Liu,Tahir Usman,Yachun Wang,Zezhao Wang,Xianzhou Xu,Meng Wu,Yi Zhang,Xu Zhang,Qiang Li,Lin Liu,Wanhai Shi,Chunhua Qin,Fanjun Geng,Congyong Wang,Rui Tan,Xixia Huang,Airong Liu,Hongjun Wu,Shixin Ta 아세아·태평양축산학회 2015 Animal Bioscience Vol.28 No.4

Improvement for carcass traits related to beef quality is the key concern in beef production. Recent reports found that epigenetics mediates the interaction of individuals with environment and nutrition. The present study was designed to analyze the genetic effect of single nucleotide polymorphisms (SNPs) in seven epigenetic-related genes (DNMT1, DNMT3a, DNMT3b, DNMT3L, Ago1, Ago2, and HDAC5) and two meat quality candidate genes (CAPN1 and PRKAG3) on fourteen carcass traits related to beef quality in a Snow Dragon beef population, and also to identify SNPs in a total of fourteen cattle populations. Sixteen SNPs were identified and genotyped in 383 individuals sampled from the 14 cattle breeds, which included 147 samples from the Snow Dragon beef population. Data analysis showed significant association of 8 SNPs within 4 genes related to carcass and/or meat quality traits in the beef populations. SNP1 (13154420A>G) in exon 17 of DNMT1 was significantly associated with rib-eye width and lean meat color score (p<0.05). A novel SNP (SNP4, 76198537A>G) of DNMT3a was significantly associated with six beef quality traits. Those individuals with the wild-type genotype AA of DNMT3a showed an increase in carcass weight, chilled carcass weight, flank thicknesses, chuck short rib thickness, chuck short rib score and in chuck flap weight in contrast to the GG genotype. Five out of six SNPs in DNMT3b gene were significantly associated with three beef quality traits. SNP15 (45219258C>T) in CAPN1 was significantly associated with chuck short rib thickness and lean meat color score (p<0.05). The significant effect of SNP15 on lean meat color score individually and in combination with each of other 14 SNPs qualify this SNP to be used as potential marker for improving the trait. In addition, the frequencies of most wild-type alleles were higher than those of the mutant alleles in the native and foreign cattle breeds. Seven SNPs were identified in the epigenetic-related genes. The SNP15 in CAPN1 could be used as a powerful genetic marker in selection programs for beef quality improvement in the Snow Dragon Beef population.

De novo assembly, gene annotation, and molecular marker development using Illumina paired-end transcriptome sequencing in the clam Saxidomus purpuratus

Hongjun Li,Min Liu,Sheng Ye,Feng Yang 한국유전학회 2017 Genes & Genomics Vol.39 No.6

The clam Saxidomus purpuratus is an important economic marine bivalve species in China. In this study, we performed a de novo transcriptome sequencing of S. purpuratus gill tissues to generate a transcriptome dataset by performing Illumina paired-end sequencing on the HiSeq 2500 platform. A total of 10,488,024 raw reads were produced. After removing the inferior sequences, adaptor sequences, and rRNAs, 68,080,636 high-quality reads were obtained, from which 5,115,494 assembled contigs were produced. These contigs were assembled into 120,479 transcripts and 66,388 unigenes with mean lengths of 674.96 and 562.70 bp, respectively. All unigene sequences were compared against the NCBI databases, and 26,781 unigenes were annotated. Both the gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) pathway analysis showed that several functional genes were involved in the stress response, immune system, and oxidation reduction process. Meanwhile, 414 simple sequence repeats (SSRs) were identified in the S. purpuratus transcriptome. SSR validation via PCR confirmed that 26 primer pairs had expected products, and 13 primers proved to be polymorphism among 30 individuals. The S. purpuratus transcriptome advances the underlying molecular understanding of this economic shellfish and provides a basis for further exploring S. purpuratus genomics resources.

Predicting the Weed Control Efficacy of Photosynthesis Inhibitors by PPM Method

HONGJUN ZHANG,HAILAN CUI,JIMING YE,XUE LIU,XIANGJUN LI,CORNE KEMPENAAR,SHOUHUI WEI,HANWEN NI 韓國雜草學會 2009 Weed&Turfgrass Science Vol.29 No.3

The experiment was conducted in a greenhouse in Beijing, China, to determine whether weed control efficacy could be predicted based on Plant Photosynthesis Meter (PPM) values measured shortly after the application of photosynthesis inhibitors. The decrease of PPM values of the weed leaves treated with the mixture of atrazine and bentazone could be measured 1 day after treatment (DAT). The decreased extents depended on weed susceptibility and application dosage. There was significant correlation between the PPM values of the treated leaves 1 to 3 DAT and the biomass reduction 14 DAT. The experimental findings indicated that PPM values measured in early days after treatment could give reasonable prediction on weed control. The herbicide usually provided 90% control by weed biomass when PPM value was about 20 and relatively poor control when PPM value over 20.

FgIlv3a is crucial in branched-chain amino acid biosynthesis, vegetative differentiation, and virulence in Fusarium graminearum

Xin Liu,Yichen Jiang,Yinghui Zhang,Mingzheng Yu,Hongjun Jiang,Jianhong Xu,Jianrong Shi 한국미생물학회 2019 The journal of microbiology Vol.57 No.8

Dihydroxyacid dehydratase (DHAD), encoded by ILV3, catalyses the third step in the biosynthetic pathway of branchedchain amino acids (BCAAs), which include isoleucine (Ile), leucine (Leu), and valine (Val). Enzymes involved in BCAA biosynthesis exist in bacteria, plants, and fungi but not in mammals and are therefore attractive targets for antimicrobial or herbicide development. In this study, three paralogous ILV3 genes (FgILV3A, FgILV3B, and FgILV3C) were identified in the genome of Fusarium graminearum, the causal agent of Fusarium head blight (FHB). Deletion of FgILV3A alone or combined with FgILV3B or FgILV3C indicated an important role for FgILV3A in BCAA biosynthesis. FgILV3A deletion mutants lost the ability to grow on medium lacking amino acids. Exogenous supplementation of 1 mM Ile and Val rescued the auxotrophy of ΔFgIlv3A, though 5 mM was required to recover the growth defects in ΔFgIlv3AB and ΔFgIlv3AC strains, indicating that FgIlv3b and FgIlv3c exhibit redundant but accessory roles with FgIlv3a in BCAA biosynthesis. The auxotrophy of ΔFgIlv3A resulted in pleiotropic defects in aerial hyphal growth, in conidial formation and germination, and in aurofusarin accumulation. In addition, the mutants showed reduced virulence and deoxynivalenol production. Overall, our study demonstrates that FgIlv3a is crucial for BCAA biosynthesis in F. graminearum and a candidate fungicide target for FHB management.

Combining the Power of Advanced Proteome-wide Sample Preparation Methods and Mass Spectrometry for defining the RNA-Protein Interactions

Tong Liu,Chaoshuang Xia,Xianyu Li,Hongjun Yang 사단법인 한국질량분석학회 2022 Mass spectrometry letters Vol.13 No.4

Emerging evidence has shown that RNA-binding proteins (RBPs) dynamically regulate all aspects of RNA in cells and involve in major biological processes of RNA, including splicing, modification, transport, transcription and degradation. RBPs, as powerful and versatile regulatory molecule, are essential to maintain cellular homeostasis. Perturbation of RNA-pro- tein interactions and aberration of RBPs function is associated with diverse diseases, such as cancer, autoimmune disease, and neurological disorders. Therefore, it is crucial to systematically investigate the RNA-binding proteome for understanding inter- actions of RNA with proteins. Thanks to the development of the mass spectrometry, a variety of proteome-wide methods have been explored to define comprehensively RNA-protein interactions in recent years and thereby contributed to speeding up the study of RNA biology. In this review, we systematically described these methods and summarized the advantages and disadvan- tages of each method.

Automated Road Extraction and Analysis from LiDAR Point Cloud Data Using Local Optimization

Xuanzhen Liu,Hongjun Li 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.1

Applying point cloud data to road analysis is crucial for obtaining practical features for segmenting and classifying road point clouds. This study proposes a multi-step method for extracting road points and road network structures from urban Light Detection and Ranging (LiDAR) point cloud data. The first step is a two-step algorithm of coarse grid classification and local optimization of point cloud fine classification. This step extracts road point clouds from various parts of the city. The second step involves the road-point cloud splicing work. Finally, we extract the urban road network structure according to the point cloud of the urban main road and calculate the width of each road. We evaluate the method's feasibility using four urban road point clouds. Experimental results show that the proposed method can quickly and accurately extract road points, obtaining a road data accuracy and integrity of >94% and a road width estimated relative error of <7%.

An optimized deployment strategy of smart smoke sensors in a large space

Pingshan Liu,Junli Fang,Hongjun Huang 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11

With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.