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  • Open Access

    ARTICLE

    Compared Insights on Machine-Learning Anomaly Detection for Process Control Feature

    Ming Wan1, Quanliang Li1, Jiangyuan Yao2,*, Yan Song3, Yang Liu4, Yuxin Wan5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4033-4049, 2022, DOI:10.32604/cmc.2022.030895 - 16 June 2022

    Abstract Anomaly detection is becoming increasingly significant in industrial cyber security, and different machine-learning algorithms have been generally acknowledged as various effective intrusion detection engines to successfully identify cyber attacks. However, different machine-learning algorithms may exhibit their own detection effects even if they analyze the same feature samples. As a sequence, after developing one feature generation approach, the most effective and applicable detection engines should be desperately selected by comparing distinct properties of each machine-learning algorithm. Based on process control features generated by directed function transition diagrams, this paper introduces five different machine-learning algorithms as alternative… More >

  • Open Access

    ARTICLE

    Rice (Oryza sativa L.) Breeding among Hassawi Landrace and Egyptian Genotypes for Stem Borer (Chilo agamemnon Bles.) Resistance and Related Quantitative Traits

    Mohammed I. Al-Daej1, Mohamed M. El-Malky2, Muhammad N. Sattar3, Adel A. Rezk1,4, Muhammad N. Naqqash5, Jameel M. Al-Khayri1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1905-1922, 2022, DOI:10.32604/phyton.2022.020629 - 13 May 2022

    Abstract Rice stem borer (Chilo agamemnon Bles.) is a primary insect pest of rice and is a major limiting factor to rice production. Breeding for insect-resistant crop varieties has been an economic way of integrated pest management (IPM) as it offers a viable and ecologically acceptable approach. This study was aimed to evaluate rice genotypes for their resistance against rice stem borer. Seven parental genotypes with twenty one F1 crosses were evaluated for genotypic variation in field experiments. Analysis of variance revealed significant differences for the studied traits in almost all crosses and parents. In addition, the… More >

  • Open Access

    ARTICLE

    Selection of Stable Reference Genes for Quantitative Real-Time PCR on Paeonia ostii T. Hong et J. X. Zhang Leaves Exposed to Different Drought Stress Conditions

    Yuting Luan1, Cong Xu1, Xiaoxiao Wang1, Daqiu Zhao1, Jun Tao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 1045-1059, 2022, DOI:10.32604/phyton.2022.018767 - 24 January 2022

    Abstract The definition of relatively stable expressed internal reference genes is essential in both traditional blotting quantification and as a modern data quantitative strategy. Appropriate internal reference genes can accurately standardize the expression abundance of target genes to avoid serious experimental errors. In this study, the expression profiles of ten candidate genes, ACT1, ACT2, GAPDH, eIF1, eIF2, α-TUB, β-TUB, TBP, RNA Pol II and RP II, were calculated for a suitable reference gene selection in Paeonia ostii T. Hong et J. X. Zhang leaves under various drought stress conditions. Data were processed by the four regularly used evaluation software. A comprehensive analysis revealed More >

  • Open Access

    ARTICLE

    Multi-Environmental Genetic Analysis of Grain Size Traits Based on Chromosome Segment Substitution Line in Rice (Oryza sativa L.)

    Yujia Leng1,#, Shuilian Wang1,2,3,#, Ruoan Wang2,#, Tao Tao1, Shuwen Jia1,2, Tao Song2,3, Lina Xu1,2, Xiuling Cai1,2, Sukui Jin1,2,*, Jiping Gao1,2,4,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 943-958, 2022, DOI:10.32604/phyton.2022.018707 - 24 January 2022

    Abstract Grain size traits are critical agronomic traits which directly determine grain yield, but the genetic bases of these traits are still not well understood. In this study, a total of 154 chromosome segment substitution lines (CSSLs) population derived from a cross between a japonica variety Koshihikari and an indica variety Nona Bokra was used to investigate grain length (GL), grain width (GW), length-width ratio (LWR), grain perimeter (GP), grain area (GA), and thousand grain weight (TGW) under four environments. QTL mapping analysis of six grain size traits was performed by QTL IciMapping 4.2 with an inclusive… More >

  • Open Access

    ARTICLE

    Quantitative Evaluation of Mental-Health in Type-2 Diabetes Patients Through Computational Model

    Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Ashi Khan3,*, Mohd Nadeem4, Md Tarique Jamal Ansari4

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1701-1715, 2022, DOI:10.32604/iasc.2022.023314 - 09 December 2021

    Abstract A large number of people live in diabetes worldwide. Type-2 Diabetes (D2) accounts for 92% of patients with D2 and puts a huge burden on the healthcare industry. This multi-criterion medical research is based on the data collected from the hospitals of Uttar Pradesh, India. In recent times there is a need for a web-based electronic system to determine the impact of mental health in D2 patients. This study will examine the impact assessment in D2 patients. This paper used the integrated methodology of Fuzzy Analytic Hierarchy (FAHP) and Fuzzy Technique for Order Performance by… More >

  • Open Access

    ARTICLE

    A Fast Small-Sample Modeling Method for Precision Inertial Systems Fault Prediction and Quantitative Anomaly Measurement

    Hongqiao Wang1,*, Yanning Cai2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 187-203, 2022, DOI:10.32604/cmes.2022.018000 - 29 November 2021

    Abstract Inertial system platforms are a kind of important precision devices, which have the characteristics of difficult acquisition for state data and small sample scale. Focusing on the model optimization for data-driven fault state prediction and quantitative degree measurement, a fast small-sample supersphere one-class SVM modeling method using support vectors pre-selection is systematically studied in this paper. By theorem-proving the irrelevance between the model's learning result and the non-support vectors (NSVs), the distribution characters of the support vectors are analyzed. On this basis, a modeling method with selected samples having specific geometry character from the training More >

  • Open Access

    ARTICLE

    Proteomic Analysis of Chrysanthemum Lateral Buds after Removing Apical Dominance Based on Label-Free Technology

    Sicong Zheng#, Jingjing Song#, Cheng Luo, Xin Li, Qiqi Ma, Beibei Jiang*, Qinglin Liu, Yuanzhi Pan

    Phyton-International Journal of Experimental Botany, Vol.91, No.3, pp. 525-539, 2022, DOI:10.32604/phyton.2022.017629 - 26 October 2021

    Abstract Studying the genetic basis and regulatory mechanism of chrysanthemum lateral bud outgrowth is of great significance for reduction the production cost of cut chrysanthemum. To clarify the molecular basis of lateral bud elongation after removal of apical dominance in chrysanthemum, label-free quantification analysis was used to analyze the proteome changes after apical bud removal. Quantitative real-time PCR (qPCR) was used to analyze the changes in the expression of three plant hormone-related genes. A total of 440 differentially expressed proteins were successfully identified at three time points during the lateral bud elongation. The number of differentially… More >

  • Open Access

    ARTICLE

    Screening of COVID-19 Patients Using Deep Learning and IoT Framework

    Harshit Kaushik1, Dilbag Singh2, Shailendra Tiwari3, Manjit Kaur2, Chang-Won Jeong4, Yunyoung Nam5,*, Muhammad Attique Khan6

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3459-3475, 2021, DOI:10.32604/cmc.2021.017337 - 24 August 2021

    Abstract In March 2020, the World Health Organization declared the coronavirus disease (COVID-19) outbreak as a pandemic due to its uncontrolled global spread. Reverse transcription polymerase chain reaction is a laboratory test that is widely used for the diagnosis of this deadly disease. However, the limited availability of testing kits and qualified staff and the drastically increasing number of cases have hampered massive testing. To handle COVID-19 testing problems, we apply the Internet of Things and artificial intelligence to achieve self-adaptive, secure, and fast resource allocation, real-time tracking, remote screening, and patient monitoring. In addition, we… More >

  • Open Access

    ARTICLE

    A Model for Selecting a Biomass Furnace Supplier Based on Qualitative and Quantitative Factors

    Chia-Nan Wang1, Hsin-Pin Fu2, Hsien-Pin Hsu3,*, Van Thanh Nguyen4, Viet Tinh Nguyen4, Ansari Saleh Ahmar5

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2339-2353, 2021, DOI:10.32604/cmc.2021.016284 - 21 July 2021

    Abstract In developing countries, solar energy is the largest source of energy, accounting for 35%–45% of the total energy supply. This energy resource plays a vital role in meeting the energy needs of the world, especially in Vietnam. Vietnam has favorable natural conditions for this energy production. Because it is hot and humid, and it has much rainfall and fertile soil, biomass develops very quickly. Therefore, byproducts from agriculture and forestry are abundant and continuously increasing. However, byproducts that are considered natural waste have become the cause of environmental pollution; these include burning forests, straw, and… More >

  • Open Access

    ARTICLE

    Data-independent acquisition mass spectrometry quantitative proteomic analysis reveals that skin aging-related proteins differ between men and women

    HUI ZHANG1,3,#, SHIRUI CHEN1,3,#, MENGTING LIU1,2, YAOCHI WANG1,2, CONG XIN1,2, JING MA1,3, XIAODONG ZHENG1,2, YUANDI HUANG1,2, BO ZHANG3,4, XUEJUN ZHANG1,2, LIANGDAN SUN1,2,*, SEN YANG1,3,*

    BIOCELL, Vol.45, No.5, pp. 1321-1335, 2021, DOI:10.32604/biocell.2021.016524 - 12 July 2021

    Abstract The skin is the largest organ of the human body, and its aging is visible to the naked eye. The aging rate of men and women is slightly different. This study compared the protein expression of skin samples on the curved forearms of 11 healthy women and 9 healthy men. Quantitative proteomics analysis found that the expression of epidermal proteins in men and women of the same age group was different. Compared with female skin, in male skin, 20 proteins were upregulated, and 7 proteins were downregulated. These data suggest that men and women have… More >

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