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Search Results (103)
  • Open Access

    REVIEW

    Associations between Bodyweight and Clinical Outcome in Patients Post-Fontan Procedure: A Systematic Review

    Emma Payne1,2, Thomas Wilson2,3, Marjan Haghighi1,4, Zoe McCallum2,3, Yves d’Udekem5, Julian Ayer1,4,*

    Congenital Heart Disease, Vol.17, No.6, pp. 617-639, 2022, DOI:10.32604/chd.2022.024775

    Abstract Background: Patients born with a single ventricle circulation commonly experience growth failure in early life, which is associated with adverse outcomes in infancy. However, associations between bodyweight or weight trajectory and clinical outcome post-Fontan procedure are yet to be determined. Methods: On the 1st of July 2021, a systematic review was performed in MEDLINE, EMBASE, the Cochrane Library, and Scopus of studies of patients with clinical outcome data post-Fontan procedure and association with bodyweight. Quality of studies was evaluated by Newcastle–Ottawa scale for cohort studies and Joanna Briggs Institute tool for cross-sectional studies. Results: Of 527 studies that underwent title… More >

  • Open Access

    ARTICLE

    Effective Diagnosis of Lung Cancer via Various Data-Mining Techniques

    Subramanian Kanageswari1, D. Gladis2, Irshad Hussain3,*, Sultan S. Alshamrani4, Abdullah Alshehri5

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 415-428, 2023, DOI:10.32604/iasc.2023.032053

    Abstract One of the leading cancers for both genders worldwide is lung cancer. The occurrence of lung cancer has fully augmented since the early 19th century. In this manuscript, we have discussed various data mining techniques that have been employed for cancer diagnosis. Exposure to air pollution has been related to various adverse health effects. This work is subject to analysis of various air pollutants and associated health hazards and intends to evaluate the impact of air pollution caused by lung cancer. We have introduced data mining in lung cancer to air pollution, and our approach includes preprocessing, data mining, testing… More >

  • Open Access

    ARTICLE

    Association Rule Analysis-Based Identification of Influential Users in the Social Media

    Saqib Iqbal1, Rehan Khan2, Hikmat Ullah Khan2,*, Fawaz Khaled Alarfaj4, Abdullah Mohammed Alomair3, Muzamil Ahmed2

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6479-6493, 2022, DOI:10.32604/cmc.2022.030881

    Abstract The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. The extensive adoption of social networking sites also resulted in user content generation. There are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets, politics and social life. Facebook is extensively used platform to share information, thoughts and opinions through posts and comments. The identification of influential users… More >

  • Open Access

    ARTICLE

    The Association between Physical Education and Mental Health Indicators in Adolescents: A Cross-Sectional Study

    Xiaoqing Hu1, Yan Tang1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 783-793, 2022, DOI:10.32604/ijmhp.2022.018332

    Abstract Objective: To explore the associations between physical education attendance and mental health indicators. Methods: Using data from the Global Student Health Survey, the frequency of physical education attendance, suicidality-related indicators, loneliness, bullying, and anxiety were all assessed using a standardized self-reported questionnaire. Multivariable logistic regression was used to estimate the association between physical education attendance and mental health-related indicators. Results: The study included 276,169 participants from 71 countries (47.3% males, aged 11–18 years old). After controlling for sex, age, food insecurity, close friends, physical activity, sedentary time, others’ help, and parents’ understanding, physical education attendance was not signifi- cantly associated… More >

  • Open Access

    ARTICLE

    Associations of Sport Participation with Depression and Anxiety among Chinese Minority Adolescents

    Zhiyan Xiao1, Scott Doig2, Haowen Wu3,*, Lei Wang4

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 739-747, 2022, DOI:10.32604/ijmhp.2022.019395

    Abstract This study aimed to explore associations of sport participation with anxiety and depressive symptoms among Chinese minority adolescents. A cross-sectional study was conducted among Chinese adolescents in Tibet. A convenience sample method was used to select participants. Finally, 1452 students completed the survey and 1421 (52.10% girls, Grades 4–9, 13.46 ± 1.41 years old) adolescents met the inclusion criteria of analysis. Sociodemographic variables, sport participation, depression and anxiety were evaluated by self-reported questionnaires. Among 1421 participants, 80% of adolescents lived in rural area and more than four fifths of participants had siblings. The parent’s education level of participants was mostly… More >

  • Open Access

    ABSTRACT

    Abstracts from the XXXVIII Annual Scientific Meeting of Tucuman Biology Association

    BIOCELL, Vol.46, Suppl.2, pp. 1-28, 2022

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Association Rule Mining Frequent-Pattern-Based Intrusion Detection in Network

    S. Sivanantham1,*, V. Mohanraj2, Y. Suresh2, J. Senthilkumar2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1617-1631, 2023, DOI:10.32604/csse.2023.025893

    Abstract In the network security system, intrusion detection plays a significant role. The network security system detects the malicious actions in the network and also conforms the availability, integrity and confidentiality of data information resources. Intrusion identification system can easily detect the false positive alerts. If large number of false positive alerts are created then it makes intrusion detection system as difficult to differentiate the false positive alerts from genuine attacks. Many research works have been done. The issues in the existing algorithms are more memory space and need more time to execute the transactions of records. This paper proposes a… More >

  • Open Access

    ARTICLE

    A Survey on Methods and Applications of Intelligent Market Basket Analysis Based on Association Rule

    Monerah M. Alawadh*, Ahmed M. Barnawi

    Journal on Big Data, Vol.4, No.1, pp. 1-25, 2022, DOI:10.32604/jbd.2022.021744

    Abstract The market trends rapidly changed over the last two decades. The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniques. Market Basket Analysis has a tangible effect in facilitating current change in the market. Market Basket Analysis is one of the famous fields that deal with Big Data and Data Mining applications. MBA initially uses Association Rule Learning (ARL) as a mean for realization. ARL has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’ behavior. An important motive of… More >

  • Open Access

    ARTICLE

    MDA-TOEPGA: A novel method to identify miRNA-disease association based on two-objective evolutionary programming genetic algorithm

    BUWEN CAO1,*, JIAWEI LUO2,*, SAINAN XIAO1,2, XIANGJUN ZHOU1

    BIOCELL, Vol.46, No.8, pp. 1925-1933, 2022, DOI:10.32604/biocell.2022.019613

    Abstract The association between miRNA and disease has attracted more and more attention. Until now, existing methods for identifying miRNA related disease mainly rely on top-ranked association model, which may not provide a full landscape of association between miRNA and disease. Hence there is strong need of new computational method to identify the associations from miRNA group view. In this paper, we proposed a framework, MDA-TOEPGA, to identify miRNAdisease association based on two-objective evolutionary programming genetic algorithm, which identifies latent miRNAdisease associations from the view of functional module. To understand the miRNA functional module in diseases, the case study is presented.… More >

  • Open Access

    REVIEW

    Translational aspects of the modern genetics in head and neck cancers

    FRANCESCO PADUANO1,2,*, EMANUELA ALTOMARE2,3, BENEDETTA MARRELLI1, VINCENZO DATTILO4, HAIZAL MOHD HUSSAINI5, PAUL ROY COOPER5, MARCO TATULLO6

    BIOCELL, Vol.46, No.8, pp. 1827-1835, 2022, DOI:10.32604/biocell.2022.020462

    Abstract Oral Cancer (OC) is one of the most recurrent cancers in the head and neck squamous cancer (SCCHN) category. Recently, the genome-wide association studies (GWAS) have gained growing interest in the scientific community. GWAS have identified several pathways involved in the interactions among general risk factors and genomic variants affecting SCCHN. This systematic overview aims to critically evaluate the latest data reported within the scientific literature. The aim was to investigate the impact of genetic aspects on SCCHN onset and prognosis, involving other clinical and systemic co-factors. PubMed, Google Scholar, and Cancer Genetics Web databases have been systematically investigated for… More >

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