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  • Open Access

    ARTICLE

    Multi-label Emotion Classification of COVID–19 Tweets with Deep Learning and Topic Modelling

    K. Anuratha1,*, M. Parvathy2

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3005-3021, 2023, DOI:10.32604/csse.2023.031553

    Abstract The COVID-19 pandemic has become one of the severe diseases in recent years. As it majorly affects the common livelihood of people across the universe, it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak. The public opinions are been shared enormously in microblogging media like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics, sports, entertainment etc., This work presents a combination of Intensity Based Emotion Classification Convolution Neural Network… More >

  • Open Access

    ARTICLE

    Nucleotide Sequence Assessment of Four ORFs of Citrus Tristeza Virus: Evidence of Recombination

    Adel A. Rezk1,2,*, Hala A. Amin2

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 691-705, 2023, DOI:10.32604/phyton.2022.024208

    Abstract Citrus Tristeza Virus (CTV), usually occurs in nature as a mixture of genotypes. Six naturally infected citrus (Citrus sinensis) trees grafted on sour orange rootstock were collected from three citrus growing governorates in Egypt (Sharqia, Qalyubia and Garbia). In this study, RT-PCR, Single-Strand Conformation Polymorphism (SSCP) and nucleotide sequence analysis were used for four independent CTV genomic regions (p65, p18, p20, and p23) to detect and assess the sequence and genetic variabilities among CTV Egyptian isolates. RTPCR products (650 bp) for the CTV p23 gene obtained from the selected isolates were used for the SSCP analysis and DNA sequencing. SSCP… More >

  • Open Access

    ARTICLE

    Prediction System for Diagnosis and Detection of Coronavirus Disease-2019 (COVID-19): A Fuzzy-Soft Expert System

    Wencong Liu1, Ahmed Mostafa Khalil2,*, Rehab Basheer3, Yong Lin4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2715-2730, 2023, DOI:10.32604/cmes.2023.024755

    Abstract In early December 2019, a new virus named “2019 novel coronavirus (2019-nCoV)” appeared in Wuhan, China. The disease quickly spread worldwide, resulting in the COVID-19 pandemic. In the current work, we will propose a novel fuzzy soft modal (i.e., fuzzy-soft expert system) for early detection of COVID-19. The main construction of the fuzzy-soft expert system consists of five portions. The exploratory study includes sixty patients (i.e., forty males and twenty females) with symptoms similar to COVID-19 in (Nanjing Chest Hospital, Department of Respiratory, China). The proposed fuzzy-soft expert system depended on five symptoms of COVID-19 (i.e., shortness of breath, sore… More > Graphic Abstract

    Prediction System for Diagnosis and Detection of Coronavirus Disease-2019 (COVID-19): A Fuzzy-Soft Expert System

  • Open Access

    ARTICLE

    Residual Attention Deep SVDD for COVID-19 Diagnosis Using CT Scans

    Akram Ali Alhadad1,2,*, Omar Tarawneh3, Reham R. Mostafa1, Hazem M. El-Bakry1

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3333-3350, 2023, DOI:10.32604/cmc.2023.033413

    Abstract COVID-19 is the common name of the disease caused by the novel coronavirus (2019-nCoV) that appeared in Wuhan, China in 2019. Discovering the infected people is the most important factor in the fight against the disease. The gold-standard test to diagnose COVID-19 is polymerase chain reaction (PCR), but it takes 5–6 h and, in the early stages of infection, may produce false-negative results. Examining Computed Tomography (CT) images to diagnose patients infected with COVID-19 has become an urgent necessity. In this study, we propose a residual attention deep support vector data description SVDD (RADSVDD) approach to diagnose COVID-19. It is… More >

  • Open Access

    ARTICLE

    A Theoretical Investigation of the SARS-CoV-2 Model via Fractional Order Epidemiological Model

    Tahir Khan1, Rahman Ullah1, Thabet Abdeljawad2,3,*, Manar A. Alqudah4, Faizullah Faiz5

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1295-1313, 2023, DOI:10.32604/cmes.2022.022177

    Abstract We propose a theoretical study investigating the spread of the novel coronavirus (COVID-19) reported in Wuhan City of China in 2019. We develop a mathematical model based on the novel corona virus's characteristics and then use fractional calculus to fractionalize it. Various fractional order epidemic models have been formulated and analyzed using a number of iterative and numerical approaches while the complications arise due to singular kernel. We use the well-known Caputo-Fabrizio operator for the purposes of fictionalization because this operator is based on the non-singular kernel. Moreover, to analyze the existence and uniqueness, we will use the well-known fixed… More >

  • Open Access

    REVIEW

    A double-edged sword: The HBV-induced non-coding RNAs alterations in hepatocellular carcinoma

    TIANXING LIU1, HONGYAN DIAO2,*

    BIOCELL, Vol.47, No.1, pp. 27-32, 2023, DOI:10.32604/biocell.2022.023568

    Abstract Non-coding RNAs are speculated to exert important regulatory functions at the level of gene expression, oncogenesis, and many other pathologies. Hepatitis B virus (HBV) infection is a leading cause of hepatocellular carcinoma (HCC), and some studies have shown that the expression of non-coding RNAs has an assignable effect on the development of HBV-induced HCC. In this context, the functions and molecular mechanisms of the HBVinduced non-coding RNA expression in the development of hepatoma have attracted increasing attention. This review covers the progress in the exploration of the relationship between HBV-induced hepatoma and non-coding RNA expression, cataloging the recent reports about… More >

  • Open Access

    REVIEW

    The Presence of Human Papillomavirus and Epstein-Barr Virus Infection in Gastric Cancer: A Systematic Study

    Abolfazl Jafari-Sales1, Afsoon Shariat1,*, Hossein Bannazadeh Baghi2, Behzad Baradaran3, Behboud Jafari4

    Oncologie, Vol.24, No.3, pp. 413-426, 2022, DOI:10.32604/oncologie.2022.024161

    Abstract Background and Aim: Gastric cancer (GC) is one of the most common infection-related malignancies worldwide. Human Papillomavirus (HPV) and Epstein-Barr virus (EBV) are among the most important viruses affecting many people worldwide. The potential role of these viruses in gastric tissue may explain the possibility of GC, as seen in Helicobacter pylori (H. pylori). This study aimed to systematically investigate the presence of HPV and EBV in GC. Methods: According to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, this study is a systematic review based on reported cases. The keywords HPV, EBV and GC, were searched… More >

  • Open Access

    REVIEW

    Psychological Impacts of Coronavirus Outbreaks on Adults: A Rapid Evidence Review

    Emily Berger1,*, Negar Jamshidi2, Andrea Reupert1

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 619-634, 2022, DOI:10.32604/ijmhp.2022.013177

    Abstract A recent rapid review highlighted the negative psychological impacts of quarantining during coronavirus outbreaks on the public. However, to date, there has been no review of the psychological impacts of coronavirus on adults using research from community samples and not restricted to people quarantined during coronavirus. A rapid review was conducted to provide timely evidence about the mental health implications of coronavirus outbreaks on adults and to inform psychological research concerning the current COVID-19 outbreak. Three databases and Google Scholar were searched and a total of 27 studies were identified. Symptoms of anxiety and depression were identified during coronavirus outbreaks… More >

  • Open Access

    ARTICLE

    Suppression of human papillomavirus type 16 E5 oncoprotein: A promising step in fostering the treatment of cervical cancer

    NIMA HEMMAT1, MOHAMMAD AMIN DOUSTVANDI1, ZAHRA ASADZADEH1, AHAD MOKHTARZADEH1, BEHZAD BARADARAN1,4,*, HOSSEIN BANNAZADEH BAGHI1,2,3,*

    Oncology Research, Vol.29, No.2, pp. 141-148, 2021, DOI:10.32604/or.2022.023346

    Abstract Cervical cancer is a growing global disease in developing countries. Persistent infection with human papillomaviruses (HPV) is an essential causative agent in this type of cancer. Several studies demonstrate HPV E5 oncoprotein can impress the normal life cycle of HPV-infected cells by targeting some pivotal cellular signaling pathways, such as the epidermal growth factor receptor (EGFR) signaling pathway. In this study, we used E5-siRNA to knockdown that essential oncogene and considered the effect of E5 silencing on proliferation, apoptosis, cell cycle, apoptosis-related gene expression, and the initiator of the EGFR signaling pathway in cervical cancer cells. The results demonstrate that… More >

  • Open Access

    REVIEW

    The Effect of Oncogene Proteins of Human Papillomaviruses on Apoptosis Pathways in Prostate Cancer

    Robabeh Faghani Baladehi1,2, Mohammad Yousef Memar1, Abolfazl Jafari Sales3, Ahad Bazmani1,4, Javid Sadri Nahand1,5,6, Parisa Shiri Aghbash2,7, Hossein Bannazadeh Baghi1,2,7,*

    Oncologie, Vol.24, No.2, pp. 227-245, 2022, DOI:10.32604/oncologie.2022.020648

    Abstract The ability of host cells to activate apoptosis is perhaps the most potent weapon for helping cells eliminate viruses. Human papillomaviruses (HPV) activate several pathways, enabling the infected cells to avoid extrinsic and intrinsic apoptosis pathways. The incapacity of prostatic epithelial cells to induce apoptosis leads to the invasive development of prostate cancer. For the pathogenesis of prostate cancer, several risk factors have been reported; for example, some viruses and infectious diseases have been proposed as causative agents for their relation to prostate diseases. According to several studies, high-risk human papillomaviruses cause malignancy by interfering with the apoptotic and inflammatory… More >

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