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  • Open Access

    REVIEW

    Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges

    Salam Al-E’mari1, Mohammed Anbar1,*, Yousef Sanjalawe1,2, Selvakumar Manickam1, Iznan Hasbullah1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 87-112, 2022, DOI:10.32604/csse.2022.017941

    Abstract Intrusion detection systems that have emerged in recent decades can identify a variety of malicious attacks that target networks by employing several detection approaches. However, the current approaches have challenges in detecting intrusions, which may affect the performance of the overall detection system as well as network performance. For the time being, one of the most important creative technological advancements that plays a significant role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains trust between individuals no matter… More >

  • Open Access

    REVIEW

    Paclobutrazol and Its Use in Fruit Production: A Review

    Laura Raquel Orozco-Meléndez1, Ofelia Adriana Hernández-Rodríguez1, Oscar Cruz-Álvarez1, Loreto Robles-Hernández1, Graciela Dolores Ávila-Quezada1, Esteban Sánchez Chavez2, Damián Aarón Porras-Flores1, Dámaris Leopoldina Ojeda-Barrios1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 1-12, 2022, DOI:10.32604/phyton.2022.016908

    Abstract There are documentary records referring to paclobutrazol (PBZ) as a growth bioregulator that inhibits the gibberellin synthesis and its application increases yields in fruit and vegetable crop productions. Its agronomic management includes it as an emerging technology to reduce vigour, promote flower induction and flower development in fruit trees with increased economic returns. Its use is banned in some countries because of concerns about residues that can cause harmful effects on the environment. Therefore, the aim of this article was to collect, analyse and summarise relevant information on the use of PBZ in fruit tree production and its possible risks… More >

  • Open Access

    REVIEW

    Review of Computational Techniques for the Analysis of Abnormal Patterns of ECG Signal Provoked by Cardiac Disease

    Revathi Jothiramalingam1, Anitha Jude2, Duraisamy Jude Hemanth2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 875-906, 2021, DOI: 10.32604/cmes.2021.016485

    Abstract The 12-lead ECG aids in the diagnosis of myocardial infarction and is helpful in the prediction of cardiovascular disease complications. It does, though, have certain drawbacks. For other electrocardiographic anomalies such as Left Bundle Branch Block and Left Ventricular Hypertrophy syndrome, the ECG signal with Myocardial Infarction is difficult to interpret. These diseases cause variations in the ST portion of the ECG signal. It reduces the clarity of ECG signals, making it more difficult to diagnose these diseases. As a result, the specialist is misled into making an erroneous diagnosis by using the incorrect therapeutic technique. Based on these concepts,… More >

  • Open Access

    REVIEW

    Damage Assessment of Reinforced Concrete Structures through Damage Indices: A State-of-the-Art Review

    D. A. Makhloof, A. R. Ibrahim, Xiaodan Ren*

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 849-874, 2021, DOI:10.32604/cmes.2021.016882

    Abstract Due to the developments of computer science and technology in recent years, computer models and numerical simulations for large and complicated structures can be done. Among the vast information and results obtained from the analysis and simulations, the damage performance is of great importance since this damage might cause enormous losses for society and humanity, notably in cases of severe damage occurring. One of the most effective tools to handle the results about the damage performance of the structure is the damage index (DI) together with the damage states, which are used to correlate the damage indices with the damage… More >

  • Open Access

    REVIEW

    A Contemporary Review on Drought Modeling Using Machine Learning Approaches

    Karpagam Sundararajan1, Lalit Garg2,*, Kathiravan Srinivasan4,*, Ali Kashif Bashir3, Jayakumar Kaliappan4, Ganapathy Pattukandan Ganapathy5, Senthil Kumaran Selvaraj6, T. Meena7

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 447-487, 2021, DOI:10.32604/cmes.2021.015528

    Abstract Drought is the least understood natural disaster due to the complex relationship of multiple contributory factors. Its beginning and end are hard to gauge, and they can last for months or even for years. India has faced many droughts in the last few decades. Predicting future droughts is vital for framing drought management plans to sustain natural resources. The data-driven modelling for forecasting the metrological time series prediction is becoming more powerful and flexible with computational intelligence techniques. Machine learning (ML) techniques have demonstrated success in the drought prediction process and are becoming popular to predict the weather, especially the… More >

  • Open Access

    ARTICLE

    3D Non-Fluoroscopic Cryoablation of Right-Sided Accessory Pathways in Children: Monocentric Study and Literature Review

    Fabrizio Drago*, Irma Battipaglia, Pietro Paolo Tamborrino, Luigina Porco, Camilla Calvieri, Mario Salvatore Russo, Vincenzo Pazzano, Romolo Remoli, Massimo Stefano Silvetti

    Congenital Heart Disease, Vol.16, No.6, pp. 561-572, 2021, DOI:10.32604/CHD.2021.016623

    Abstract Background: Cryoablation of accessory pathways (APs) is effective and very safe in children, as previously reported by our group. The aim of this retrospective study was to evaluate the current efficacy of 3D non-fluoroscopic cryoablation of right sided APs in children, comparing results obtained with the Ensite VelocityTM and the more recent Ensite PrecisionTM 3D mapping systems. Methods and Results: From January 2016 to December 2019, 102 pediatric patients [mean age 12.5 ± 2.8, 62 males (61% of total cohort)] with right APs underwent 3D non-fluoroscopic transcatheter cryoablation at our Institution. Fifteen (14.7%) patients had previously undergone catheter ablation. Acute… More >

  • Open Access

    REVIEW

    MicroRNA in HCC: Biomarkers and Therapeutic Targets

    Zheng Wang1, Yongxia He1, Yuwei Song1, Yue Wang2, Feng Chen3,*

    Oncologie, Vol.23, No.2, pp. 177-184, 2021, DOI:10.32604/Oncologie.2021.014773

    Abstract Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality. At present, diagnostic methods such as imaging observation, serum testing and tissue biopsy, as well as treatment methods such as surgical resection, radiotherapy, and chemotherapy have certain limitations in clinical interventions for HCC due to the complex pathogenesis and drug resistance of liver cancer, which seriously affect the survival and prognosis of patients. As a large-scale cytokine, microRNA (miRNA) plays an important role in regulating various life activities of cells. Extensive evidence proved that certain miRNAs are specifically expressed in the tissues and blood of HCC patients, and… More >

  • Open Access

    REVIEW

    Software Defect Prediction Using Supervised Machine Learning Techniques: A Systematic Literature Review

    Faseeha Matloob1, Shabib Aftab1,2, Munir Ahmad2, Muhammad Adnan Khan3,*, Areej Fatima4, Muhammad Iqbal2, Wesam Mohsen Alruwaili5, Nouh Sabri Elmitwally5,6

    Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 403-421, 2021, DOI:10.32604/iasc.2021.017562

    Abstract Software defect prediction (SDP) is the process of detecting defect-prone software modules before the testing stage. The testing stage in the software development life cycle is expensive and consumes the most resources of all the stages. SDP can minimize the cost of the testing stage, which can ultimately lead to the development of higher-quality software at a lower cost. With this approach, only those modules classified as defective are tested. Over the past two decades, many researchers have proposed methods and frameworks to improve the performance of the SDP process. The main research topics are association, estimation, clustering, classification, and… More >

  • Open Access

    REVIEW

    A Review of Seasonal Hydrogen Storage Multi-Energy Systems Based on Temporal and Spatial Characteristics

    Yuchen Cao, Yongwen Yang, Xianglong Zhao, Qifen Li*

    Journal of Renewable Materials, Vol.9, No.11, pp. 1823-1842, 2021, DOI:10.32604/jrm.2021.015722

    Abstract The temporal and spatial characteristics of seasonal hydrogen storage will play a very important role in the coupling of multi-energy systems. This essay believes that there are several key issues worth noting in the seasonal hydrogen storage coupled multi-energy system, namely, hydrogen storage methods, coupling models, and benefit evaluation. Through research, this article innovatively divides seasonal hydrogen storage into two types: space transfer hydrogen storage technology and time transfer physical property conversion hydrogen storage technology. Then sort out the two most typical seasonal hydrogen storage multi-energy system application scenarios and their hydrogen storage unit models. Finally, it is shown that… More > Graphic Abstract

    A Review of Seasonal Hydrogen Storage Multi-Energy Systems Based on Temporal and Spatial Characteristics

  • Open Access

    REVIEW

    A Review of the Dynamic Modeling Approaches for Characterizing Fluid Flow in Naturally Fractured Reservoirs

    M. N. Tarhuni*, W. R. Sulaiman, M. Z. Jaafar, M. Milad, A. M. Alghol

    Energy Engineering, Vol.118, No.4, pp. 761-795, 2021, DOI:10.32604/EE.2021.016645

    Abstract Fluid flow in fractured media has been studied for decades and received considerable attention in the oil and gas industry because of the high productivity of naturally fractured reservoirs. Due to formation complexity and reservoir heterogeneity, characterizing fluid flow with an appropriate reservoir model presents a challenging task that differs relatively from homogeneous conventional reservoirs in many aspects of view, including geological, petrophysical, production, and economics. In most fractured reservoirs, fracture networks create complex pathways that affect hydrocarbon flow, well performance, hence reservoir characterization. A better and comprehensive understanding of the available reservoir modeling approaches is much needed to accurately… More >

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