Secrecy Performance Enhancement Using Self-Interference Cancellation in Wireless Mutual Broadcast Networks for Proximity-Based Services.

With the increasing demand for data exchange between nearby devices in proximity-based services, enhancing the security of wireless mutual broadcast (WMB) networks is crucial. However, WMB networks are inherently vulnerable to eavesdropping due to the open broadcast nature of their communication. This paper investigates the improvement of secrecy performance in random-access-based WMB (RA-WMB) networks by integrating physical layer security (PLS) techniques with hybrid duplex (HBD) operations under a stochastic geometry framework. The HBD method balances half-duplex (HD) receiving and full-duplex (FD) transceiving, utilizing self-interference cancellation (SIC) to enhance PLS performance. Key operational parameters, including transmission probability (TxPr), friendly jammer density, and conditions for FD operation, are designed to maximize secrecy performance. The analytical and numerical results demonstrate significant improvements in PLS performance, with SIC playing a critical role, particularly in scenarios with dense legitimate nodes, and with TxPr adjusted to balance HD receiving and FD transceiving based on SIC imperfections. The proposed design principles provide a comprehensive framework for enhancing the security of WMB networks, addressing the complex interplay of interference and SIC in various network configurations.

NGSpop: A desktop software that supports population studies by identifying sequence variations from next-generation sequencing data.

Next-generation sequencing (NGS) is widely used in all areas of genetic research, such as genetic disease diagnosis and breeding, and it can produce massive amounts of data. The identification of sequence variants is an important step when processing large NGS datasets; however, currently, the process is complicated, repetitive, and requires concentration, which can be taxing on the researcher. Therefore, to support researchers who are not familiar enough with bioinformatics to identify sequence variations regularly from large datasets, we have developed a fully automated desktop software, NGSpop. NGSpop includes functionalities for all the variant calling and visualization procedures used when processing NGS data, such as quality control, mapping, filtering details, and variant calling. In the variant calling step, the user can select the GATK or DeepVariant algorithm for variant calling. These algorithms can be executed using pre-set pipelines and options or customized with the user-specified options. NGSpop is implemented using JavaFX (version 1.8) and can thus be run on Unix-like operating systems such as Ubuntu Linux (version 16.04, 18.0.4). Although several pipelines and visualization tools are available for NGS data analysis, most integrated environments do not support batch processes; thus, variant detection cannot be automated for population-level studies. The NGSpop software developed in this study has an easy-to-use interface and helps in rapid analysis of multiple NGS data from population studies. According to a benchmark test, it effectively reduced the carbon footprint in bioinformatics analysis by expending the least central processing unit heat and power. Additionally, this software makes it possible to use the GATK and DeepVariant algorithms more flexibly and efficiently than other programs by allowing users to choose between the algorithms. As a limitation, NGSpop currently supports only the sequencing reads in fastq format produced by the Illumina platform. NGSpop is freely available at https://sourceforge.net/projects/ngspop/.

Physics-Based Simulation of Soft-Body Deformation Using RGB-D Data.

Providing real-time interaction in an immersive environment has drawn considerable attention in the virtual training fields. Physics-based simulations are suitable for such environments; however, they require the definition and adjustment of coefficients that determine material properties, making the methods more complex and time-consuming. In this paper, we introduce a novel approach to simulating the soft-body deformation of an observed object. Using an off-the-shelf RGB-D sensor, the proposed approach tracks an object's movement and simulates its deformation in an iterative manner. Polygonal models with different resolutions are used to improve the simulation speed and visual quality. During the simulation process, a low-resolution model is used for surface deformation using neighboring feature points detected from the sensor, and a volumetric model is added for internal force estimation. To visualize the observed model in detail, the deformed and low-resolution model is mapped to a high-resolution model using mean value coordinate interpolation. To handle topological deformations, such as cutting or tearing, a part intersected by a cutting tool is recognized by the sensor and responds to external forces. As shown in the experimental results, our approach generates convincing deformations of observed objects in real time.

NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data.

BACKGROUND: Sequence variations such as single nucleotide polymorphisms are markers for genetic diseases and breeding. Therefore, identifying sequence variations is one of the main objectives of several genome projects. Although most genome project consortiums provide standard operation procedures for sequence variation detection methods, there may be differences in the results because of human selection or error. OBJECTIVE: To standardize the procedure for sequence variation detection and help researchers who are not formally trained in bioinformatics, we developed the NGS_SNPAnalyzer, a desktop software and fully automated graphical pipeline. METHODS: The NGS_SNPAnalyzer is implemented using JavaFX (version 1.8); therefore, it is not limited to any operating system (OS). The tools employed in the NGS_SNPAnalyzer were compiled on Microsoft Windows (version 7, 10) and Ubuntu Linux (version 16.04, 17.0.4). RESULTS: The NGS_SNPAnalyzer not only includes the functionalities for variant calling and annotation but also provides quality control, mapping, and filtering details to support all procedures from next-generation sequencing (NGS) data to variant visualization. It can be executed using pre-set pipelines and options and customized via user-specified options. Additionally, the NGS_SNPAnalyzer provides a user-friendly graphical interface and can be installed on any OS that supports JAVA. CONCLUSIONS: Although there are several pipelines and visualization tools available for NGS data analysis, we developed the NGS_SNPAnalyzer to provide the user with an easy-to-use interface. The benchmark test results indicate that the NGS_SNPAnayzer achieves better performance than other open source tools.

Hydrogenation of Tricyclopentadiene Over Ru Supported on Ordered Nanoporous Silica.

Tetrahydrotricyclopentadine (THTCPD) has been used as a fuel with a high energy density. THTCPD is produced by the hydrogenation of tricyclopentadiene (TCPD). In this study, Ru/nanoporous silica catalysts are utilized as a catalyst for TCPD hydrogenation. Ru/KIT-6 and Ru/SBA-15 show significantly higher activity compared to outcomes over the Ru/kieselguhr catalyst during TCPD hydrogenation. The nanoporous structures of Ru/KIT-6 and Ru/SBA-15 help to overcome the diffusion limitations of reactants and products during the TCPD hydrogenation process. In addition to the diffusion factors, the distribution of Ru crystallites on the support plays an important role in the TCPD hydrogenation activity.

Comparative genomic analysis of enterotoxigenic Escherichia coli O159 strains isolated from diarrheal patients in Korea.

BACKGROUND: Enterotoxigenic Escherichia coli (ETEC) is a common cause of bacterial infection that leads to diarrhea. Although some studies have proposed a potential association between the toxic profile and genetic background, association between toxin of ETEC and phylo-group has not been reported yet. The objective of this study was to examine genomic and phylogenetic characteristics of ETEC strain NCCP15731 and NCCP15733 by whole genome sequencing and comparative genomic analysis of two phylo-groups of O159 reference strains. RESULTS: Whole genome sequencing showed that genome size of NCCP15731 strain was 4,663,459 bp, containing 4435 CDS and 19 RNAs. The genome size of NCCP15733 was 4,645,336 bp, containing 4369 CDS and 23 RNAs. Both NCCP15731 and NCCP15733 were classified in the phylo-group A, which is one of major E. coli phylogenetic groups. Their serotype was O159:H34. They possessed the virulence factor such as adherence systems, auto transporter systems, and flagella segments of major driving force for ETEC pathogenicity. They also harbored STh enterotoxin. Hierarchical clustering result based on the presence or absence of a total of 108 major virulence factors of 14 O159 ETEC strains showed that seven strains in phylo-group A and seven strains in phylo-group B1 were clustered each other, respectively. Colonization factors (CFs) of NCCP15731 or NCCP15733 were not detected. CONCLUSIONS: Serotype of NCCP15731 and NCCP15733, representing major types of ETEC in Korea, was O159:H34 and their MLST type was ST218. Comparison with other O159 strains revealed that NCCP15731 was specialized for transporter system and secretion system whereas NCCP15733 had unique genes related to capsular polysaccharide. Compared with E159, the most recent common ancestor, these two strains had different toxin type and virulence factors. These results will improve our understanding of ETEC O159 strains to prevent ETEC disease.

Full-Body Animation of Human Locomotion in Reduced Gravity Using Physics-Based Control.

The proposed physics-based approach can generate stable and robust full-body animation of various gaits under different gravitational conditions. As input, this method takes motion-captured human motions in the Earth's gravity and builds an inverted-pendulum on cart (IPC) control model, which is analyzed using the motion-captured data. The authors use a pre-estimation model based on the Froude number to predict the desired velocity and stride frequency of a character model in hypogravity and then generate full-body animation using a pendulum trajectory generator, motion planner, and tracking.

Comparative genomic analysis and characteristics of NCCP15740, the major type of enterotoxigenic Escherichia coli in Korea.

BACKGROUND: Enterotoxigenic Escherichia coli (ETEC) cause infectious diarrhea and diarrheal death. However, the genetic properties of pathogenic strains vary spatially and temporally, making prevention and treatment difficult. In this study, the genomic features of the major type of ETEC in Korea from 2003 to 2011 were examined by whole-genome sequencing of strain NCCP15740, and a comparative genomic analysis was performed with O6 reference strains. RESULTS: The assembled genome size of NCCP15740 was 4,795,873 bp with 50.54% G+C content. Using rapid annotation using subsystem technology analysis, we predicted 4492 ORFs and 17 RNA genes. NCCP15740 was investigated for enterotoxin genes, colonization factor (CF) genes, serotype, multilocus sequence typing (MLST) profiles, and classical and nonclassical virulence factors. NCCP15740 belonged to the O6:H16 serotype and possessed enterotoxin genes encoding heat-stable toxin (STh) and heat-labile toxin (LT); 87.5% of the O6 serotype strains possessed both toxin types. NCCP15740 carried the colonization factors CS2 and CS3, whereas most O6 strains carried CS2-CS3-CS21 (79.2%). NCCP15740 harbored fewer virulence factors (59.4%) than the average observed in other O6 strains (62.0%). Interestingly, NCCP15740 did not harbor any nonclassical virulence genes. CONCLUSIONS: The major type of ETEC in Korea had the same MLST sequence type as that of isolates from the USA obtained in 2011 and 2014, but had different colonization factor types and virulence profiles. These results provide important information for the development of an ETEC vaccine candidate.

Performance-Based Animation Using Constraints for Virtual Object Manipulation.

Optical motion-capture systems can be used to animate characters in real time based on human demonstrations. However, most approaches do not consider the detailed finger movements necessary for object manipulation. The proposed online motion-capture framework encourages natural motions by automatically guiding the avatar's motion toward the desired behavior based on a set of captured reference motions for the same behavior. The proposed motion controller imitates the user's finger and body gestures to enable performance-based animation of human avatars that can manipulate virtual objects in real time.

Comparative genomic analysis of Shiga toxin-producing and non-Shiga toxin-producing Escherichia coli O157 isolated from outbreaks in Korea.

BACKGROUND: The Shiga toxin-producing Escherichia coli (STEC) O157 strain NCCP15739 and non-STEC O157 strain NCCP15738 were isolated from outbreaks in Korea. We characterized NCCP15739 and NCCP15738 by genome sequencing and a comparative genomic analysis using two additional strains, E. coli K-12 substr. MG1655 and O157:H7 EDL933. RESULTS: Using the Illumina HiSeq 2000 platform and the RAST server, the whole genomes of NCCP15739 and NCCP15738 were obtained and annotated. NCCP15739 and NCCP15738 clustered with different E. coli strains based on a whole-genome phylogeny and multi-locus sequence typing analysis. Functional annotation clustering indicated enrichment for virulence plasmid and hemolysis-related genes in NCCP15739 and conjugation- and flagellum-related genes in NCCP15738. Defense mechanism- and pathogenicity-related pathways were enriched in NCCP15739 and pathways related to the assimilation of energy sources were enriched in NCCP15738. We identified 66 and 18 virulence factors from the NCCP15739 and NCCP15738 genome, respectively. Five and eight antibiotic resistance genes were identified in the NCCP15739 and NCCP15738 genomes, respectively. Based on a comparative analysis of phage-associated regions, NCCP15739 and NCCP15738 had specific prophages. The prophages in NCCP15739 carried virulence factors, but those in NCCP15738 did not, and no antibiotic resistance genes were found in the phage-associated regions. CONCLUSIONS: Our whole-genome sequencing and comparative genomic analysis revealed that NCCP15739 and NCCP15738 have specific genes and pathways. NCCP15739 had more genes (410), virulence factors (48), and phage-related regions (11) than NCCP15738. However, NCCP15738 had three more antibiotic resistance genes than NCCP15739. These differences may explain differences in pathogenicity and biological characteristics.

Genome Sequence of Bacteriophage GG32, Which Can Infect both Salmonella enterica Serovar Typhimurium and Escherichia coli O157:H7.

We report here a new virulent Salmonella enterica serovar Typhimurium (S Typhimurium) bacteriophage, GG32, which was isolated from the Guem River in the Republic of Korea. The strain can infect both S Typhimurium and Escherichia coli (E. coli) O157:H7 and may be a good candidate for a bio-control agent.

Complete Genome Sequence of Bacteriophage MA12, Which Infects both Campylobacter jejuni and Salmonella enterica Serovar Enteritidis.

Here, we announce the complete genome sequence of Salmonella enterica serovar Enteritidis (S Enteritidis) bacteriophage MA12, a 41-Kb chromosome. The strain can infect both Campylobacter jejuni (C. jejuni) and S Enteritidis and can be used in phage therapy experiments with poultry and poultry meat.

Whole-genome sequencing and comparative genomic analysis of Escherichia coli O91 strains isolated from symptomatic and asymptomatic human carriers.

BACKGROUND: The Shiga toxin-producing Escherichia coli (STEC) O91:H21 strains NCCP15736 and NCCP15737 were isolated during a single outbreak in Korea, NCCP15736 from a symptomatic carrier and NCCP15737 from an asymptomatic carrier. To investigate genomic differences between the two strains, we performed whole-genome sequencing of both strains and conducted a comparative genomic analysis. RESULTS: Using the Illumina HiSeq 2000 platform and Rapid Annotation using the Subsystem Technology (RAST) server, whole-genome sequences of NCCP15736 and NCCP15737 were obtained and annotated. Phylogenetic analysis of ten E. coli strains showed that NCCP15736 and NCCP15737 are evolutionarily close. The two strains were found to be most close to E. coli O91:NM str. 2009C-3745. The genomic comparison showed that the fimD gene of NCCP15737 is truncated and that the truncation could underlie the defects in infection and pathogenicity of NCCP15737. The two strains showed the same virulence factor profiles, and we identified 25 virulence factors from NCCP15736 and NCCP15737, respectively. We identified ten and nine phage-associated regions in the NCCP15736 and NCCP15737 genomes, respectively; the two strains share five of these. CONCLUSIONS: NCCP15736 and NCCP15737 differ at the genomic level, even though they share features such as virulence-related genes. NCCP15737 has a deletion in fimD, which may underlie its asymptomatic character. We conclude that complete genome sequencing and integration of other types of omics data are needed to fully reveal the mechanism underlying the asymptomatic character of NCCP15737.

Comparative genomic analysis of Klebsiella pneumoniae subsp. pneumoniae KP617 and PittNDM01, NUHL24835, and ATCC BAA-2146 reveals unique evolutionary history of this strain.

BACKGROUND: Klebsiella pneumoniae subsp. pneumoniae KP617 is a pathogenic strain that coproduces OXA-232 and NDM-1 carbapenemases. We sequenced the genome of KP617, which was isolated from the wound of a Korean burn patient, and performed a comparative genomic analysis with three additional strains: PittNDM01, NUHL24835 and ATCC BAA-2146. RESULTS: The complete genome of KP617 was obtained via multi-platform whole-genome sequencing. Phylogenetic analysis along with whole genome and multi-locus sequence typing of genes of the Klebsiella pneumoniae species showed that KP617 belongs to the WGLW2 group, which includes PittNDM01 and NUHL24835. Comparison of annotated genes showed that KP617 shares 98.3 % of its genes with PittNDM01. Nineteen antibiotic resistance genes were identified in the KP617 genome: bla OXA-1 and bla SHV-28 in the chromosome, bla NDM-1 in plasmid 1, and bla OXA-232 in plasmid 2 conferred resistance to beta-lactams; however, colistin- and tetracycline-resistance genes were not found. We identified 117 virulence factors in the KP617 genome, and discovered that the genes encoding these factors were also harbored by the reference strains; eight genes were lipopolysaccharide-related and four were capsular polysaccharide-related. A comparative analysis of phage-associated regions indicated that two phage regions are specific to the KP617 genome and that prophages did not act as a vehicle for transfer of antimicrobial resistance genes in this strain. CONCLUSIONS: Whole-genome sequencing and bioinformatics analysis revealed similarity in the genome sequences and content, and differences in phage-related genes, plasmids and antimicrobial resistance genes between KP617 and the references. In order to elucidate the precise role of these factors in the pathogenicity of KP617, further studies are required.

Draft genome sequence of non-shiga toxin-producing Escherichia coli O157 NCCP15738.

BACKGROUND: The non-shiga toxin-producing Escherichia coli (non-STEC) O157 is a pathogenic strain that cause diarrhea but does not cause hemolytic-uremic syndrome, or hemorrhagic colitis. Here, we present the 5-Mb draft genome sequence of non-STEC O157 NCCP15738, which was isolated from the feces of a Korean patient with diarrhea, and describe its features and the structural basis for its genome evolution. RESULTS: A total of 565-Mbp paired-end reads were generated using the Illumina-HiSeq 2000 platform. The reads were assembled into 135 scaffolds throughout the de novo assembly. The assembled genome size of NCCP15738 was 5,005,278 bp with an N50 value of 142,450 bp and 50.65 % G+C content. Using Rapid Annotation using Subsystem Technology analysis, we predicted 4780 ORFs and 31 RNA genes. The evolutionary tree was inferred from multiple sequence alignment of 45 E. coli species. The most closely related neighbor of NCCP15738 indicated by whole-genome phylogeny was E. coli UMNK88, but that indicated by multilocus sequence analysis was E. coli DH1(ME8569). CONCLUSIONS: A comparison between the NCCP15738 genome and those of reference strains, E. coli K-12 substr. MG1655 and EHEC O157:H7 EDL933 by bioinformatics analyses revealed unique genes in NCCP15738 associated with lysis protein S, two-component signal transduction system, conjugation, the flagellum, nucleotide-binding proteins, and metal-ion binding proteins. Notably, NCCP15738 has a dual flagella system like that in Vibrio parahaemolyticus, Aeromonas spp., and Rhodospirillum centenum. The draft genome sequence and the results of bioinformatics analysis of NCCP15738 provide the basis for understanding the genomic evolution of this strain.

Draft Genome Sequence of Mycobacterium tuberculosis KT-0204, Isolated in South Korea.

Here, we describe the draft genome sequence of Mycobacterium tuberculosis KT-0204, non-Beijing family. This sequence will reveal genes related to the evolution and adaptation of M. tuberculosis KT-0204 in human hosts.

Draft Genome Sequence of Mycobacterium tuberculosis KT-0133, Isolated in South Korea.

Here, we present the draft genome sequence of Mycobacterium tuberculosis KT-0133, which belongs to the Korean-Beijing family. This sequence will provide a new perspective on the evolution and accommodation of M. tuberculosis KT-0133 in human hosts.

Draft Genome Sequence of Mycobacterium tuberculosis KT-0184, Isolated in South Korea.

Here, we describe the draft genome sequence of Mycobacterium tuberculosis KT-0184, from the Beijing family. This genome will provide insight into the evolution and adaptation of M. tuberculosis KT-0184 in human hosts.

Complete Genome Sequence of Klebsiella pneumoniae subsp. pneumoniae KP617, Coproducing OXA-232 and NDM-1 Carbapenemases, Isolated in South Korea.

The prevalence of Klebsiella pneumoniae coproducing carbapenemase metallo-ß-lactamase 1 (NDM-1) and OXA-48 has been increasing globally since 2013. The complete genome of KP617 was sequenced and assembled into a circular chromosome and two plasmids. This sequence provides the genetic background for understanding the evolution of carbapenemase genes in K. pneumoniae KP617.

Draft Genome Sequence of Mycobacterium tuberculosis KT-0192, Isolated in South Korea.

We report the draft genome sequence of totally drug-resistant (XDR) Mycobacterium tuberculosis KT-0192. This sequence will provide new insights into the main cause and evolution of drug resistance in M. tuberculosis KT-0192.