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Search Results (66)
  • Open Access

    REVIEW

    Control of tendon cell fate in the embryonic limb: A molecular perspective

    JESSICA CRISTINA MARÍN-LLERA*, CARLOS AMAURY JIMÉNEZ-CÁRDENAS, JESÚS CHIMAL-MONROY*

    BIOCELL, Vol.47, No.3, pp. 465-471, 2023, DOI:10.32604/biocell.2023.024625

    Abstract The molecular cascade underlying tendon formation starts when progenitor cells begin to express the Scleraxis (Scx) gene. Scx knockout mice develop some but not all tendons, suggesting that additional factors are necessary for tendon commitment, maintenance, and differentiation. Other transcription factors, such as Mohawk (Mkx) or early growth response (Egr), maintain Scx expression and extracellular matrix formation during fibrillogenesis. The inhibition of wingless and int-related protein signaling is necessary and sufficient to induce the expression of Scx. Once the commitment of tenogenic lineage occurs, transforming growth factor-beta (TGFβ) induces the Scx gene expression, becoming involved in the maintenance of tendon… More >

  • Open Access

    ARTICLE

    Probe Attack Detection Using an Improved Intrusion Detection System

    Abdulaziz Almazyad, Laila Halman, Alaa Alsaeed*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4769-4784, 2023, DOI:10.32604/cmc.2023.033382

    Abstract The novel Software Defined Networking (SDN) architecture potentially resolves specific challenges arising from rapid internet growth of and the static nature of conventional networks to manage organizational business requirements with distinctive features. Nevertheless, such benefits lead to a more adverse environment entailing network breakdown, systems paralysis, and online banking fraudulence and robbery. As one of the most common and dangerous threats in SDN, probe attack occurs when the attacker scans SDN devices to collect the necessary knowledge on system susceptibilities, which is then manipulated to undermine the entire system. Precision, high performance, and real-time systems prove pivotal in successful goal… More >

  • Open Access

    ARTICLE

    Generating Time-Series Data Using Generative Adversarial Networks for Mobility Demand Prediction

    Subhajit Chatterjee1, Yung-Cheol Byun2,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5507-5525, 2023, DOI:10.32604/cmc.2023.032843

    Abstract The increasing penetration rate of electric kickboard vehicles has been popularized and promoted primarily because of its clean and efficient features. Electric kickboards are gradually growing in popularity in tourist and education-centric localities. In the upcoming arrival of electric kickboard vehicles, deploying a customer rental service is essential. Due to its free-floating nature, the shared electric kickboard is a common and practical means of transportation. Relocation plans for shared electric kickboards are required to increase the quality of service, and forecasting demand for their use in a specific region is crucial. Predicting demand accurately with small data is troublesome. Extensive… More >

  • Open Access

    ARTICLE

    Developing a Secure Framework Using Feature Selection and Attack Detection Technique

    Mahima Dahiya*, Nitin Nitin

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4183-4201, 2023, DOI:10.32604/cmc.2023.032430

    Abstract Intrusion detection is critical to guaranteeing the safety of the data in the network. Even though, since Internet commerce has grown at a breakneck pace, network traffic kinds are rising daily, and network behavior characteristics are becoming increasingly complicated, posing significant hurdles to intrusion detection. The challenges in terms of false positives, false negatives, low detection accuracy, high running time, adversarial attacks, uncertain attacks, etc. lead to insecure Intrusion Detection System (IDS). To offset the existing challenge, the work has developed a secure Data Mining Intrusion detection system (DataMIDS) framework using Functional Perturbation (FP) feature selection and Bengio Nesterov Momentum-based… More >

  • Open Access

    ARTICLE

    Hydroprocessing and Blending of a Biomass-Based DTG-Gasoline

    David Graf, Philipp Neuner, Reinhard Rauch*

    Energy Engineering, Vol.119, No.6, pp. 2169-2192, 2022, DOI:10.32604/ee.2022.022759

    Abstract The number of annually registered internal-combustion vehicles still exceeds electric-driven ones in most regions, e.g., Germany. Ambitious goals are disclosed with the European Green Deal, which calls for new technical approaches and greenhouse gas neutral transition technologies. Such bridging technologies are synthetic fuels for the transportation sector, e.g., using the bioliq® process for a CO2-neutral gasoline supply. Fuels must meet the applicable national standards to be used in existing engines. Petrochemical parameters can be variably adapted to their requirements by hydroprocessing. In this work, we considered the upgrading of aromatic-rich DTG gasoline from the bioliq® process. The heavy gasoline was… More >

  • Open Access

    ARTICLE

    Advances of Polyurethane Foams Derived from Lignin

    Hyoe Hatakeyama1,*, Tatsuko Hatakeyama2

    Journal of Renewable Materials, Vol.1, No.2, pp. 113-123, 2013, DOI:10.7569/JRM.2012.634111

    Abstract Lignin and saccharides are two major components of plants. Huge amounts of plant residues are obtained as by-products of large-scale industries, such as pulp and paper, bio-fuel and the food industry. In this paper, preparation of polyurethane (PU) foam directly from various kinds of industrial lignin and molasses, which have scarcely been utilized, is summarized based on our results obtained by recent investigation. A onestep reaction using hydroxyl groups of plant materials as an active site makes it possible to produce a wide variety of PU, such as foams, sheets, gels and composite matrix. In this paper, PU foams receive… More >

  • Open Access

    ARTICLE

    TG-SMR: A Text Summarization Algorithm Based on Topic and Graph Models

    Mohamed Ali Rakrouki1,*, Nawaf Alharbe1, Mashael Khayyat2, Abeer Aljohani1

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 395-408, 2023, DOI:10.32604/csse.2023.029032

    Abstract Recently, automation is considered vital in most fields since computing methods have a significant role in facilitating work such as automatic text summarization. However, most of the computing methods that are used in real systems are based on graph models, which are characterized by their simplicity and stability. Thus, this paper proposes an improved extractive text summarization algorithm based on both topic and graph models. The methodology of this work consists of two stages. First, the well-known TextRank algorithm is analyzed and its shortcomings are investigated. Then, an improved method is proposed with a new computational model of sentence weights.… More >

  • Open Access

    ARTICLE

    Airborne Acoustic Transmission and Terrain Topography at SAINTGITS Amphitheatre: An Analysis of Outdoor Auditory Perception and Comparison of Contour Plots

    Jacob Thottathil Varghese1,2,*, Sajan Thomas1,2,3, Joselin Herbert4, Chacko Preno Koshy1,2, Arjun Venugopal1,2

    Sound & Vibration, Vol.56, No.3, pp. 255-274, 2022, DOI:10.32604/sv.2022.016180

    Abstract The arrangement of natural and physical features on the earth’s surface are a few among the countless items that govern the airborne acoustic transmission at boundary layers. In particular, if the acoustic waves are attributes of live concerts at open-air theatres, without losing the sheen and quality, the audience should certainly receive the unbroken depth of the performance. Hence, at all times, it is advisable to analyse the auditory receptiveness, particularly in all intended recreational spaces. The current pandemic circumstances and the mandated COVID-19 prevention protocols encourage gatherings in naturally ventilated outdoor regions than confined indoors. This work predicts and… More >

  • Open Access

    ARTICLE

    A Secure Hardware Implementation for Elliptic Curve Digital Signature Algorithm

    Mouna Bedoui1,*, Belgacem Bouallegue1,2, Abdelmoty M. Ahmed2, Belgacem Hamdi1,3, Mohsen Machhout1, Mahmoud1, M. Khattab2

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2177-2193, 2023, DOI:10.32604/csse.2023.026516

    Abstract Since the end of the 1990s, cryptosystems implemented on smart cards have had to deal with two main categories of attacks: side-channel attacks and fault injection attacks. Countermeasures have been developed and validated against these two types of attacks, taking into account a well-defined attacker model. This work focuses on small vulnerabilities and countermeasures related to the Elliptic Curve Digital Signature Algorithm (ECDSA) algorithm. The work done in this paper focuses on protecting the ECDSA algorithm against fault-injection attacks. More precisely, we are interested in the countermeasures of scalar multiplication in the body of the elliptic curves to protect against… More >

  • Open Access

    ARTICLE

    Exosomal miR-218 regulates the development of endometritis in dairy cows by targeting TGIF2/TGF-β pathway

    CHANG CHEN1,#, LIMIN QIAO2,#, KAIJUN GUO1, YINGQIU WANG1, MENGYI YUAN3, BOFAN FU4, XIAOBO GAO3, HEMIN NI1, LONGFEI XIAO1,*, XIANGGUO WANG1,*

    BIOCELL, Vol.46, No.11, pp. 2415-2423, 2022, DOI:10.32604/biocell.2022.021510

    Abstract Endometritis affects the reproductive capacity of dairy cows and leads to serious economic losses in dairy farming. Clarification of the pathogenesis of endometritis is necessary to improve the reproductive efficiency of dairy cows. Exosomes and their miRNAs have been proven to play an important role in inflammatory regulation. Exosomal miR-218 is a differentially expressed miRNA found in endometrial epithelial cells (EECs) under endometrial inflammation. Therefore, we investigated the expression of miR-218 in the uterine tissue of dairy cows, lipopolysaccharide (LPS) treated EECs, exosomal vesicles, and regulation of exosomal miR-218 by targeting TGIF-2 inducible factor homology frame 2 (TGIF2)/transforming growth factor-beta… More >

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