Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3,409)
  • Open Access

    REVIEW

    A review from mesenchymal stem-cells and their small extracellular vesicles in tissue engineering

    ODIN RAMIREZ-FERNANDEZ1,2, ESMERALDA ZUÑIGA-AGUILAR3,*

    BIOCELL, Vol.46, No.2, pp. 325-338, 2022, DOI:10.32604/biocell.2022.016892 - 20 October 2021

    Abstract This review aims to offer a vision of the clinical reality of cell therapy today in intensive medicine. For this, it has been carried out a description of the properties, functions, and Mesenchymal Stem Cells (MSCS) sources to subsequently address the evidence in preclinical models and studies clinical trials with whole cells and models attributed to small extracellular vesicles (sEVs), nanoparticles made up of microvesicles secreted by cells with an effect on the extracellular matrix, and their impact as an alternative towards cell-free regenerative medicine. MSCs are cells that enhance the regenerative capacity which can… More >

  • Open Access

    REVIEW

    The Potential Toxic Side Effects of Flavonoids

    ZHIMEI TANG, QIANG ZHANG*

    BIOCELL, Vol.46, No.2, pp. 357-366, 2022, DOI:10.32604/biocell.2022.015958 - 20 October 2021

    Abstract Flavonoids are a class of phytochemical molecules abundant in many plants, fruits, vegetables, and leaves. Flavonoids possess a series of significant biological activities, including anticancer, antioxidant, antiviral, and antiinflammatory properties. They become an important source of dietary supplements and natural health products. Though many studies confirmed the safety of flavonoids, the potential toxicity of flavonoids is still a remarkable field of research to be explored. The enthusiasm for flavonoids expressed by the public has sometimes overlooked their toxicity and also consumed the flavonoids exceeding the body requirements. The current review focused on the potential toxicity… More >

  • Open Access

    ARTICLE

    An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach

    Shobhit Verma1 , Nonita Sharma1 , Aman Singh2 , Abdullah Alharbi3 , Wael Alosaimi3 , Hashem Alyami4, Deepali Gupta5, Nitin Goyal5 ,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6041-6055, 2022, DOI:10.32604/cmc.2022.021747 - 11 October 2021

    Abstract This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis disease. In addition to forecasting the occurrences of conjunctivitis incidences, the proposed model also improves performance by using the ensemble model. Weekly rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December 2019. Pre-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets. A stacked generalization ensemble model based on Auto-ARIMA (Autoregressive… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Based Optimal Functional Link Neural Network for Financial Data Science

    Anwer Mustafa Hilal1, Hadeel Alsolai2, Fahd N. Al-Wesabi3, Mohammed Abdullah Al-Hagery4, Manar Ahmed Hamza1,*, Mesfer Al Duhayyim5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6289-6304, 2022, DOI:10.32604/cmc.2022.021522 - 11 October 2021

    Abstract In present digital era, data science techniques exploit artificial intelligence (AI) techniques who start and run small and medium-sized enterprises (SMEs) to have an impact and develop their businesses. Data science integrates the conventions of econometrics with the technological elements of data science. It make use of machine learning (ML), predictive and prescriptive analytics to effectively understand financial data and solve related problems. Smart technologies for SMEs enable allows the firm to get smarter with their processes and offers efficient operations. At the same time, it is needed to develop an effective tool which can… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Based Clustering with Routing Protocol for Internet of Vehicles

    Manar Ahmed Hamza1,*, Haya Mesfer Alshahrani2, Fahd N. Al-Wesabi3,4, Mesfer Al Duhayyim5, Anwer Mustafa Hilal1, Hany Mahgoub3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5835-5853, 2022, DOI:10.32604/cmc.2022.021059 - 11 October 2021

    Abstract With recent advances made in Internet of Vehicles (IoV) and Cloud Computing (CC), the Intelligent Transportation Systems (ITS) find it advantageous in terms of improvement in quality and interactivity of urban transportation service, mitigation of costs incurred, reduction in resource utilization, and improvement in traffic management capabilities. Many traffic-related problems in future smart cities can be sorted out with the incorporation of IoV in transportation. IoV communication enables the collection and distribution of real-time essential data regarding road network condition. In this scenario, energy-efficient and reliable intercommunication routes are essential among vehicular nodes in sustainable… More >

  • Open Access

    ARTICLE

    Automatic Detection of Nephrops Norvegicus Burrows from Underwater Imagery Using Deep Learning

    Atif Naseer1,*, Enrique Nava Baro1, Sultan Daud Khan2, Yolanda Vila3, Jennifer Doyle4

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5321-5344, 2022, DOI:10.32604/cmc.2022.020886 - 11 October 2021

    Abstract The Norway lobster, Nephrops norvegicus, is one of the main commercial crustacean fisheries in Europe. The abundance of Nephrops norvegicus stocks is assessed based on identifying and counting the burrows where they live from underwater videos collected by camera systems mounted on sledges. The Spanish Oceanographic Institute (IEO) and Marine Institute Ireland (MI-Ireland) conducts annual underwater television surveys (UWTV) to estimate the total abundance of Nephrops within the specified area, with a coefficient of variation (CV) or relative standard error of less than 20%. Currently, the identification and counting of the Nephrops burrows are carried out manually by… More >

  • Open Access

    ARTICLE

    Handover Mechanism Based on Underwater Hybrid Software-Defined Modem in Advanced Diver Networks

    K. M. Delphin Raj1, Sun-Ho Yum1, Jinyoung Lee2, Eunbi Ko3, Soo-Yong Shin2, Soo-Hyun Park3,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5721-5743, 2022, DOI:10.32604/cmc.2022.020870 - 11 October 2021

    Abstract For the past few decades, the internet of underwater things (IoUT) obtained a lot of attention in mobile aquatic applications such as oceanography, diver network monitoring, unmanned underwater exploration, underwater surveillance, location tracking system, etc. Most of the IoUT applications rely on acoustic medium. The current IoUT applications face difficulty in delivering a reliable communication system due to the various technical limitations of IoUT environment such as low data rate, attenuation, limited bandwidth, limited battery, limited memory, connectivity problem, etc. One of the significant applications of IoUT include monitoring underwater diver networks. In order to… More >

  • Open Access

    ARTICLE

    Analytic Beta-Wavelet Transform-Based Digital Image Watermarking for Secure Transmission

    Hesham Alhumyani1,*, Ibrahim Alrube1, Sameer Alsharif1, Ashraf Afifi1, Chokri Ben Amar1, Hala S. El-Sayed2, Osama S. Faragallah3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4657-4673, 2022, DOI:10.32604/cmc.2022.020338 - 11 October 2021

    Abstract The rapid development in the information technology field has introduced digital watermark technologies as a solution to prevent unauthorized copying and redistribution of data. This article introduces a self-embedded image verification and integrity scheme. The images are firstly split into dedicated segments of the same block sizes. Then, different Analytic Beta-Wavelet (ABW) orthogonal filters are utilized for embedding a self-segment watermark for image segment using a predefined method. ABW orthogonal filter coefficients are estimated to improve image reconstruction under different block sizes. We conduct a comparative study comparing the watermarked images using three kinds of More >

  • Open Access

    ARTICLE

    Indoor Electromagnetic Radiation Intensity Relationship to Total Energy of Household Appliances

    Murad A.A. Almekhlafi1, Lamia Osman Widaa2, Fahd N. Al-Wesabi3,*, Mohammad Alamgeer4, Anwer Mustafa Hilal5, Manar Ahmed Hamza5, Abu Sarwar Zamani5, Mohammed Rizwanullah5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5421-5435, 2022, DOI:10.32604/cmc.2022.019823 - 11 October 2021

    Abstract The rapid technological developments in the modern era have led to increased electrical equipment in our daily lives, work, and homes. From this standpoint, the main objective of this study is to evaluate the potential relationship between the intensity of electromagnetic radiation and the total energy of household appliances in the living environment within the building by measuring and analyzing the strength of the electric field and the entire electromagnetic radiation flux density of electrical devices operating at frequencies (5 Hz to 1 kHz). The living room was chosen as a center for measurement at… More >

  • Open Access

    ARTICLE

    Optimal Confidential Mechanisms in Smart City Healthcare

    R. Gopi1,*, P. Muthusamy2, P. Suresh3, C. G. Gabriel Santhosh Kumar4, Irina V. Pustokhina5, Denis A. Pustokhin6, K. Shankar7

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4883-4896, 2022, DOI:10.32604/cmc.2022.019442 - 11 October 2021

    Abstract Smart City Healthcare (SHC2) system is applied in monitoring the patient at home while it is also expected to react to their needs in a timely manner. The system also concedes the freedom of a patient. IoT is a part of this system and it helps in providing care to the patients. IoT-based healthcare devices are trustworthy since it almost certainly recognizes the potential intensifications at very early stage and alerts the patients and medical experts to such an extent that they are provided with immediate care. Existing methodologies exhibit few shortcomings in terms of computational… More >

Displaying 2021-2030 on page 203 of 3409. Per Page