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  • Open Access

    ARTICLE

    A Privacy Preservation Method for Attributed Social Network Based on Negative Representation of Information

    Hao Jiang1, Yuerong Liao1, Dongdong Zhao2, Wenjian Luo3, Xingyi Zhang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1045-1075, 2024, DOI:10.32604/cmes.2024.048653 - 16 April 2024

    Abstract Due to the presence of a large amount of personal sensitive information in social networks, privacy preservation issues in social networks have attracted the attention of many scholars. Inspired by the self-nonself discrimination paradigm in the biological immune system, the negative representation of information indicates features such as simplicity and efficiency, which is very suitable for preserving social network privacy. Therefore, we suggest a method to preserve the topology privacy and node attribute privacy of attribute social networks, called AttNetNRI. Specifically, a negative survey-based method is developed to disturb the relationship between nodes in the… More >

  • Open Access

    ARTICLE

    Involvement of the ABA- and H2O2-Mediated Ascorbate–Glutathione Cycle in the Drought Stress Responses of Wheat Roots

    Mengyuan Li1, Zhongye Gao1,2, Lina Jiang1, Leishan Chen1,2,*, Jianhui Ma1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 329-342, 2024, DOI:10.32604/phyton.2024.046976 - 27 February 2024

    Abstract Abscisic acid (ABA), hydrogen peroxide (H2O2) and ascorbate (AsA)–glutathione (GSH) cycle are widely known for their participation in various stresses. However, the relationship between ABA and H2O2 levels and the AsA–GSH cycle under drought stress in wheat has not been studied. In this study, a hydroponic experiment was conducted in wheat seedlings subjected to 15% polyethylene glycol (PEG) 6000–induced dehydration. Drought stress caused the rapid accumulation of endogenous ABA and H2O2 and significantly decreased the number of root tips compared with the control. The application of ABA significantly increased the number of root tips, whereas the application… More >

  • Open Access

    ARTICLE

    Differential Expression of Genes Related to Fruit Development and Capsaicinoids Synthesis in Habanero Pepper Plants Grown in Contrasting Soil Types

    Eduardo Burgos-Valencia1,#, Federico García-Laynes1,#, Ileana Echevarría-Machado1, Fatima Medina-Lara1, Miriam Monforte-González1, José Narváez-Zapata2,*, Manuel Martínez-Estévez1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 151-183, 2024, DOI:10.32604/phyton.2023.046943 - 27 February 2024

    Abstract Habanero pepper (Capsicum chinense Jacq.) is a crop of economic relevance in the Peninsula of Yucatan. Its fruits have a high level of capsaicinoids compared to peppers grown in other regions of the world, which gives them industrial importance. Soil is an important factor that affects pepper development, nutritional quality, and capsaicinoid content. However, the effect of soil type on fruit development and capsaicinoid metabolism has been little understood. This work aimed to compare the effect of soils with contrasting characteristics, black soil (BS) and red soil (RS), on the expression of genes related to the… More >

  • Open Access

    ARTICLE

    A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

    Nilkanth Mukund Deshpande1,2, Shilpa Gite3,4,*, Biswajeet Pradhan5,6, Abdullah Alamri7, Chang-Wook Lee8,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 593-631, 2024, DOI:10.32604/cmes.2023.030704 - 30 December 2023

    Abstract Infection of leukemia in humans causes many complications in its later stages. It impairs bone marrow’s ability to produce blood. Morphological diagnosis of human blood cells is a well-known and well-proven technique for diagnosis in this case. The binary classification is employed to distinguish between normal and leukemia-infected cells. In addition, various subtypes of leukemia require different treatments. These sub-classes must also be detected to obtain an accurate diagnosis of the type of leukemia. This entails using multi-class classification to determine the leukemia subtype. This is usually done using a microscopic examination of these blood… More > Graphic Abstract

    A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

  • Open Access

    ARTICLE

    The impact of 5-ARI on perioperative and functional outcomes of GreenLight PVP: an analysis of the Global GreenLight Group database

    Tawfik Elsherbini1,*, David Bouhadana2,*, Iman Sadri3, David-Dan Nguyen4, Kyle W. Law5, Adel Arezki3, Claudia Deyirmendjian1, Ahmed Ibrahim5, Naeem Bhojani5, Dean S. Elterman6, Bilal Chughtai7, Franck Bruyère8, Luca Cindolo9, Giovanni Ferrari9, Carlos Vasquez-Lastra10, Tiago Borelli-Bovo11, Edgardo F. Becher12, Hannes Cash13, Maximillian Reimann14, Enrique Rijo15, Vincent Misrai16, Kevin C. Zorn5

    Canadian Journal of Urology, Vol.30, No.2, pp. 11473-11479, 2023

    Abstract Introduction: In this study, we sought to investigate the impact of 5-alpha reductase inhibitors (5-ARI) on the perioperative and functional outcomes of 180-Watt XPS GreenLight photovaporization of the prostate (PVP) using a large international database.
    Materials and methods: Data were obtained from the Global GreenLight Group (GGG) database, which includes eight high-volume, experienced surgeons from seven international centers. All men with established benign prostatic hyperplasia (BPH) with known 5-ARI status who underwent GreenLight PVP using the XPS-180W system between 2011 and 2019 were eligible for the study. Patients were assigned to two groups based on the preoperative… More >

  • Open Access

    ARTICLE

    Litigation associated with 5-alpha-reductase- inhibitor use: A Canadian legal database review

    David-Dan Nguyen1,*, Massine Fellouah2,*, Anna-Lisa V. Nguyen3, David-Christian Kazu4, Isabel Baltzan5, Muhieddine Labban6, Shubha De7, Kevin C. Zorn8, Bilal Chughtai9, Dean S. Elterman1, Quoc-Dien Trinh6, Naeem Bhojani8

    Canadian Journal of Urology, Vol.30, No.3, pp. 11546-11550, 2023

    Abstract Introduction: 5α-reductase inhibitors (5ARI) are commonly prescribed medications. There is ongoing controversy about the adverse events of these medications. The aim of this study is to characterize lawsuits in Canada involving medical complications of 5ARIs use.
    Materials and methods: Legal cases were queried from CanLII. Cases were included if they involved a party taking a 5ARI who alleged an adverse event. Relevant full cases were retained, and pertinent characteristics were extracted with the help of a legal expert.
    Results: Our deduplicated search yielded 67 unique legal documents from December 2013 to February 2019. Twelve of these documents met… More >

  • Open Access

    ARTICLE

    CHDTEPDB: Transcriptome Expression Profile Database and Interactive Analysis Platform for Congenital Heart Disease

    Ziguang Song1,2, Jiangbo Yu1, Mengmeng Wang3, Weitao Shen4, Chengcheng Wang1, Tianyi Lu1, Gaojun Shan1, Guo Dong1, Yiru Wang1, Jiyi Zhao1,*

    Congenital Heart Disease, Vol.18, No.6, pp. 693-701, 2023, DOI:10.32604/chd.2024.048081 - 19 January 2024

    Abstract CHDTEPDB (URL: ) is a manually integrated database for congenital heart disease (CHD) that stores the expression profiling data of CHD derived from published papers, aiming to provide rich resources for investigating a deeper correlation between human CHD and aberrant transcriptome expression. The development of human diseases involves important regulatory roles of RNAs, and expression profiling data can reflect the underlying etiology of inherited diseases. Hence, collecting and compiling expression profiling data is of critical significance for a comprehensive understanding of the mechanisms and functions that underpin genetic diseases. CHDTEPDB stores the expression profiles of… More >

  • Open Access

    ARTICLE

    Fusion of Hash-Based Hard and Soft Biometrics for Enhancing Face Image Database Search and Retrieval

    Ameerah Abdullah Alshahrani*, Emad Sami Jaha, Nahed Alowidi

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3489-3509, 2023, DOI:10.32604/cmc.2023.044490 - 26 December 2023

    Abstract The utilization of digital picture search and retrieval has grown substantially in numerous fields for different purposes during the last decade, owing to the continuing advances in image processing and computer vision approaches. In multiple real-life applications, for example, social media, content-based face picture retrieval is a well-invested technique for large-scale databases, where there is a significant necessity for reliable retrieval capabilities enabling quick search in a vast number of pictures. Humans widely employ faces for recognizing and identifying people. Thus, face recognition through formal or personal pictures is increasingly used in various real-life applications,… More >

  • Open Access

    ARTICLE

    Utilizing Machine Learning with Unique Pentaplet Data Structure to Enhance Data Integrity

    Abdulwahab Alazeb*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2995-3014, 2023, DOI:10.32604/cmc.2023.043173 - 26 December 2023

    Abstract Data protection in databases is critical for any organization, as unauthorized access or manipulation can have severe negative consequences. Intrusion detection systems are essential for keeping databases secure. Advancements in technology will lead to significant changes in the medical field, improving healthcare services through real-time information sharing. However, reliability and consistency still need to be solved. Safeguards against cyber-attacks are necessary due to the risk of unauthorized access to sensitive information and potential data corruption. Disruptions to data items can propagate throughout the database, making it crucial to reverse fraudulent transactions without delay, especially in… More >

  • Open Access

    ARTICLE

    Fuzzy Logic Inference System for Managing Intensive Care Unit Resources Based on Knowledge Graph

    Ahmad F Subahi*, Areej Athama

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3801-3816, 2023, DOI:10.32604/cmc.2023.034522 - 26 December 2023

    Abstract With the rapid growth in the availability of digital health-related data, there is a great demand for the utilization of intelligent information systems within the healthcare sector. These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks. They can also provide various sustainable health services such as medical error reduction, diagnosis acceleration, and clinical services quality improvement. The intensive care unit (ICU) is one of the most important hospital units. However, there are limited rooms and resources in most hospitals. During times of seasonal diseases and pandemics, ICUs… More >

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