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  1. Article ; Online: Machine Learning

    Kehua Guo / Zhiyuan Tan / Entao Luo / Xiaokang Zhou

    Security and Communication Networks, Vol

    The Cyber-Security, Privacy, and Public Safety Opportunities and Challenges for Emerging Applications

    2021  Volume 2021

    Keywords Technology (General) ; T1-995 ; Science (General) ; Q1-390
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Building towards Automated Cyberbullying Detection

    Lulwah M. Al-Harigy / Hana A. Al-Nuaim / Naghmeh Moradpoor / Zhiyuan Tan

    Computational Intelligence and Neuroscience, Vol

    A Comparative Analysis

    2022  Volume 2022

    Abstract: The increased use of social media among digitally anonymous users, sharing their thoughts and opinions, can facilitate participation and collaboration. However, this anonymity feature which gives users freedom of speech and allows them to conduct ... ...

    Abstract The increased use of social media among digitally anonymous users, sharing their thoughts and opinions, can facilitate participation and collaboration. However, this anonymity feature which gives users freedom of speech and allows them to conduct activities without being judged by others can also encourage cyberbullying and hate speech. Predators can hide their identity and reach a wide range of audience anytime and anywhere. According to the detrimental effect of cyberbullying, there is a growing need for cyberbullying detection approaches. In this survey paper, a comparative analysis of the automated cyberbullying techniques from different perspectives is discussed including data annotation, data preprocessing, and feature engineering. In addition, the importance of emojis in expressing emotions as well as their influence on sentiment classification and text comprehension leads us to discuss the role of incorporating emojis in the process of cyberbullying detection and their influence on the detection performance. Furthermore, the different domains for using self-supervised learning (SSL) as an annotation technique for cyberbullying detection are explored.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Exploring coupled images fusion based on joint tensor decomposition

    Liangfu Lu / Xiaoxu Ren / Kuo-Hui Yeh / Zhiyuan Tan / Jocelyn Chanussot

    Human-Centric Computing and Information Sciences, Vol 10, Iss 1, Pp 1-

    2020  Volume 26

    Abstract: Abstract Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion algorithm usually utilizes the information from one data set to improve ... ...

    Abstract Abstract Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion algorithm usually utilizes the information from one data set to improve the estimation accuracy and explain related latent variables of other coupled datasets. This paper proposes several kinds of coupled images decomposition algorithms based on the coupled matrix and tensor factorization-optimization (CMTF-OPT) algorithm and the flexible coupling algorithm, which are termed the coupled images factorization-optimization (CIF-OPT) algorithm and the modified flexible coupling algorithm respectively. The theory and experiments show that the effect of the CIF-OPT algorithm is robust under the influence of different noises. Particularly, the CIF-OPT algorithm can accurately restore an image with missing some data elements. Moreover, the flexible coupling model has better estimation performance than a hard coupling. For high-dimensional images, this paper adopts the compressed data decomposition algorithm that not only works better than uncoupled ALS algorithm as the image noise level increases, but saves time and cost compared to the uncompressed algorithm.
    Keywords Data fusion ; Coupled image ; Machine learning ; Tensor decomposition ; AI ; Information theory ; Q350-390 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Korea Information Processing Society-Computer Software Research Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

    Kun Tang / Wenjuan Tang / Entao Luo / Zhiyuan Tan / Weizhi Meng / Lianyong Qi

    Security and Communication Networks, Vol

    2020  Volume 2020

    Abstract: In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information ...

    Abstract In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT’s sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes–Cooper transformation technique. Then, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.
    Keywords Technology (General) ; T1-995 ; Science (General) ; Q1-390
    Subject code 003
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Paenibacillus bryophyllum sp. nov., a nitrogen-fixing species isolated from Bryophyllum pinnatum

    Liu, Lihui / Tao Yuan / Fei Yang / Ziwei Liu / Meiyan Yang / Guixiang Peng / Zhiyuan Tan

    Antonie van Leeuwenhoek. 2018 Dec., v. 111, no. 12

    2018  

    Abstract: A nitrogen-fixing, endospore-forming bacterium, designated strain L201ᵀ was isolated from the leaves of Bryophyllum pinnatum growing in South China Agricultural University. Phylogenetic analysis of the 16S rRNA gene sequence indicated that strain L201ᵀ ... ...

    Abstract A nitrogen-fixing, endospore-forming bacterium, designated strain L201ᵀ was isolated from the leaves of Bryophyllum pinnatum growing in South China Agricultural University. Phylogenetic analysis of the 16S rRNA gene sequence indicated that strain L201ᵀ is affiliated with the genus Paenibacillus, and closely related to Paenibacillus albidus Q4-3ᵀ (97.4%), Paenibacillus odorifer DSM 15391ᵀ (97.3%) and Paenibacillus borealis DSM 13188ᵀ (97.2%). The main fatty acids components was anteiso-C₁₅:₀ (48.1%). The predominant isoprenoid quinone was MK-7. The major polar lipids were found to be diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. The G+C content of strain L201ᵀ was 43.9%. DNA–DNA relatedness between L201ᵀ and the reference strain was 29.8%. Biological and biochemical tests, protein patterns, genomic DNA fingerprinting and comparison of cellular fatty acids distinguished strain L201ᵀ from the closely related Paenibacillus species. Based on these data, the novel species Paenibacillus bryophyllum sp. nov. is proposed, with the type strain L201ᵀ(= KCTC 33951 ᵀ = GDMCC 1.1251 ᵀ).
    Keywords DNA fingerprinting ; Kalanchoe pinnata ; Paenibacillus ; agricultural colleges ; bacteria ; fatty acids ; isoprenoids ; leaves ; new species ; nitrogen fixation ; nucleotide sequences ; phosphatidylethanolamines ; phylogeny ; quinones ; ribosomal DNA ; ribosomal RNA ; China
    Language English
    Dates of publication 2018-12
    Size p. 2267-2273.
    Publishing place Springer International Publishing
    Document type Article
    ZDB-ID 214861-4
    ISSN 1572-9699 ; 0003-6072
    ISSN (online) 1572-9699
    ISSN 0003-6072
    DOI 10.1007/s10482-018-1117-6
    Database NAL-Catalogue (AGRICOLA)

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    Ud II Zs.94: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  6. Article: Fungi diversity from different depths and times in chicken manure waste static aerobic composting

    Gu, Wenjie / Kaizhi Xie / Lili Sun / Peizhi Xu / Xia Li / Yusheng Lu / Zhiyuan Tan

    Bioresource technology. 2017,

    2017  

    Abstract: The Dirichlet multinomial mixtures mode was used to analyse illumina sequencing data to reveal both temporal and spatial variations of the fungi community present in the aerobic composting. Results showed that 670 operational taxonomic units (OTUs) were ... ...

    Abstract The Dirichlet multinomial mixtures mode was used to analyse illumina sequencing data to reveal both temporal and spatial variations of the fungi community present in the aerobic composting. Results showed that 670 operational taxonomic units (OTUs) were detected, and the dominant phylum was Ascomycota. There were four types of samples fungi communities during the composting process. Samples from the early composting stage were mainly grouped into type I and Saccharomycetales sp. was dominant. Fungi community in the medium composting stage were fallen into type II and III, Sordariales sp. and Acremonium alcalophilum, Saccharomycetales sp. and Scedosporium minutisporum were the dominant OTUs respectively. Samples from the late composting stage were mainly grouped into type IV and Scedosporium minutisporum was the dominant OTU; Scedosporium minutisporum was significantly affected by depth (P<0.05). Results indicate that time and depth both are factors that influence fungi distribution and variation in c waste during static aerobic composting.
    Keywords Acremonium ; composting ; fungi ; poultry manure ; Saccharomycetales ; Scedosporium ; Sordariales
    Language English
    Size p. .
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2017.04.047
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 3258: Show issues

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  7. Article: Fungi diversity from different depths and times in chicken manure waste static aerobic composting

    Gu, Wenjie / Kaizhi Xie / Lili Sun / Peizhi Xu / Xia Li / Yusheng Lu / Zhiyuan Tan

    Bioresource technology. 2017 Sept., v. 239

    2017  

    Abstract: The Dirichlet multinomial mixtures mode was used to analyse illumina sequencing data to reveal both temporal and spatial variations of the fungi community present in the aerobic composting. Results showed that 670 operational taxonomic units (OTUs) were ... ...

    Abstract The Dirichlet multinomial mixtures mode was used to analyse illumina sequencing data to reveal both temporal and spatial variations of the fungi community present in the aerobic composting. Results showed that 670 operational taxonomic units (OTUs) were detected, and the dominant phylum was Ascomycota. There were four types of samples fungi communities during the composting process. Samples from the early composting stage were mainly grouped into type I and Saccharomycetales sp. was dominant. Fungi community in the medium composting stage were fallen into type II and III, Sordariales sp. and Acremonium alcalophilum, Saccharomycetales sp. and Scedosporium minutisporum were the dominant OTUs respectively. Samples from the late composting stage were mainly grouped into type IV and Scedosporium minutisporum was the dominant OTU; Scedosporium minutisporum was significantly affected by depth (P<0.05). Results indicate that time and depth both are factors that influence fungi distribution and variation in c waste during static aerobic composting.
    Keywords Acremonium ; composting ; fungi ; poultry manure ; Saccharomycetales ; Scedosporium ; Sordariales
    Language English
    Dates of publication 2017-09
    Size p. 447-453.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2017.04.047
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  8. Article: Fine mapping of a Phytophthora-resistance gene RpsWY in soybean (Glycine max L.) by high-throughput genome-wide sequencing

    Cheng, Yanbo / Qibin Ma / Hailong Ren / Qiuju Xia / Enliang Song / Zhiyuan Tan / Shuxian Li / Gengyun Zhang / Hai Nian

    Theoretical and applied genetics. 2017 May, v. 130, no. 5

    2017  

    Abstract: KEY MESSAGE: Using a combination of phenotypic screening, genetic and statistical analyses, and high-throughput genome-wide sequencing, we have finely mapped a dominant Phytophthora resistance gene in soybean cultivar Wayao. Phytophthora root rot (PRR) ... ...

    Abstract KEY MESSAGE: Using a combination of phenotypic screening, genetic and statistical analyses, and high-throughput genome-wide sequencing, we have finely mapped a dominant Phytophthora resistance gene in soybean cultivar Wayao. Phytophthora root rot (PRR) caused by Phytophthora sojae is one of the most important soil-borne diseases in many soybean-production regions in the world. Identification of resistant gene(s) and incorporating them into elite varieties are an effective way for breeding to prevent soybean from being harmed by this disease. Two soybean populations of 191 F₂ individuals and 196 F₇:₈ recombinant inbred lines (RILs) were developed to map Rps gene by crossing a susceptible cultivar Huachun 2 with the resistant cultivar Wayao. Genetic analysis of the F₂ population indicated that PRR resistance in Wayao was controlled by a single dominant gene, temporarily named RpsWY, which was mapped on chromosome 3. A high-density genetic linkage bin map was constructed using 3469 recombination bins of the RILs to explore the candidate genes by the high-throughput genome-wide sequencing. The results of genotypic analysis showed that the RpsWY gene was located in bin 401 between 4466230 and 4502773 bp on chromosome 3 through line 71 and 100 of the RILs. Four predicted genes (Glyma03g04350, Glyma03g04360, Glyma03g04370, and Glyma03g04380) were found at the narrowed region of 36.5 kb in bin 401. These results suggest that the high-throughput genome-wide resequencing is an effective method to fine map PRR candidate genes.
    Keywords Glycine max ; Phytophthora sojae ; breeding ; chromosome mapping ; chromosomes ; cultivars ; dominant genes ; genetic analysis ; genetic resistance ; inbred lines ; phenotype ; root rot ; screening ; soil-borne diseases ; soybeans ; statistical analysis
    Language English
    Dates of publication 2017-05
    Size p. 1041-1051.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 2170-2
    ISSN 1432-2242 ; 0040-5752
    ISSN (online) 1432-2242
    ISSN 0040-5752
    DOI 10.1007/s00122-017-2869-5
    Database NAL-Catalogue (AGRICOLA)

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    Z 584: Show issues

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