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Search Results (18)
  • Open Access

    ARTICLE

    A Study on the Transmission Dynamics of the Omicron Variant of COVID-19 Using Nonlinear Mathematical Models

    S. Dickson1, S. Padmasekaran1, Pushpendra Kumar2,*, Kottakkaran Sooppy Nisar3, Hamidreza Marasi4

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 2265-2287, 2024, DOI:10.32604/cmes.2023.030286

    Abstract This research examines the transmission dynamics of the Omicron variant of COVID-19 using SEIQIcRVW and SQIRV models, considering the delay in converting susceptible individuals into infected ones. The significant delays eventually resulted in the pandemic’s containment. To ensure the safety of the host population, this concept integrates quarantine and the COVID-19 vaccine. We investigate the stability of the proposed models. The fundamental reproduction number influences stability conditions. According to our findings, asymptomatic cases considerably impact the prevalence of Omicron infection in the community. The real data of the Omicron variant from Chennai, Tamil Nadu, India, is used to validate the… More >

  • Open Access

    ARTICLE

    An Analysis of the Dynamic Behavior of Damaged Reinforced Concrete Bridges under Moving Vehicle Loads by Using the Moving Mesh Technique

    Fabrizio Greco*, Paolo Lonetti, Arturo Pascuzzo, Giulia Sansone

    Structural Durability & Health Monitoring, Vol.17, No.6, pp. 457-483, 2023, DOI:10.32604/sdhm.2023.030075

    Abstract This work proposes a numerical investigation on the effects of damage on the structural response of Reinforced Concrete (RC) bridge structures commonly adopted in highway and railway networks. An effective three-dimensional FE-based numerical model is developed to analyze the bridge’s structural response under several damage scenarios, including the effects of moving vehicle loads. In particular, the longitudinal and transversal beams are modeled through solid finite elements, while horizontal slabs are made of shell elements. Damage phenomena are also incorporated in the numerical model according to a smeared approach consistent with Continuum Damage Mechanics (CDM). In such a context, the proposed… More >

  • Open Access

    PROCEEDINGS

    Ion dynamics and Manipulation Under Extreme Confinement

    Yahui Xue1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09724

    Abstract Ion dynamics and precise control in nanochannels play key roles in biological systems, energy conversation, and environmental engineering. However, the mechanics behaviors of ions and their manipulation mechanism under extreme confinement remain largely unexplored. Biological ion channels acting as life’s transistors can gate simultaneously fast and selective ion transport through atomic-scale filters to maintain vital life functions. This biological inspiration motivates the quest for artificial structures with simultaneous functions of ion selectivity, fast transport and electrical gating at the atomic scale. Here, we experimentally investigate the ion dynamics and electrical manipulation in graphene channels of 3 angstrom size and report… More >

  • Open Access

    ARTICLE

    Predicting and Curing Depression Using Long Short Term Memory and Global Vector

    Ayan Kumar1, Abdul Quadir Md1, J. Christy Jackson1,*, Celestine Iwendi2

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5837-5852, 2023, DOI:10.32604/cmc.2023.033431

    Abstract In today’s world, there are many people suffering from mental health problems such as depression and anxiety. If these conditions are not identified and treated early, they can get worse quickly and have far-reaching negative effects. Unfortunately, many people suffering from these conditions, especially depression and hypertension, are unaware of their existence until the conditions become chronic. Thus, this paper proposes a novel approach using Bi-directional Long Short-Term Memory (Bi-LSTM) algorithm and Global Vector (GloVe) algorithm for the prediction and treatment of these conditions. Smartwatches and fitness bands can be equipped with these algorithms which can share data with a… More >

  • Open Access

    ARTICLE

    An Analysis of the Factors Influencing Cavitation in the Cylinder Liner of a Diesel Engine

    Dehui Tong1,2, Shunshun Qin1,2,*, Quan Liu1,2, Yuhan Li3, Jiewei Lin2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1667-1682, 2022, DOI:10.32604/fdmp.2022.019768

    Abstract Avoiding cavitation inside the water jacket is one of the most important issues regarding the proper design of a diesel engine’s cylinder liner. Using CFD simulations conducted in the frame of a mixture multiphase approach, a moving grid technology and near-wall cavitation model, in the present study the factors and fluid-dynamic patterns that influence cavitation are investigated from both macroscopic and mesoscopic perspectives. Several factors are examined, namely: wall vibration, water jacket width, initial cavitation bubble radius, coolant temperature, and number of bubbles. The results show that reducing the cylinder liner vibration intensity can significantly weaken the cavitation. Similarly, increasing… More >

  • Open Access

    ARTICLE

    Hybrid Recommender System Using Systolic Tree for Pattern Mining

    S. Rajalakshmi1,*, K. R. Santha2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1251-1262, 2023, DOI:10.32604/csse.2023.024036

    Abstract A recommender system is an approach performed by e-commerce for increasing smooth users’ experience. Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions. This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-commerce. This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system. The feature selection's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class.… More >

  • Open Access

    REVIEW

    A Review on the Evaporation Dynamics of Sessile Drops of Binary Mixtures: Challenges and Opportunities

    Pradeep Gurrala1, Saravanan Balusamy1, Sayak Banerjee1, Kirti Chandra Sahu2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 253-284, 2021, DOI:10.32604/fdmp.2021.014126

    Abstract The wetting and evaporation dynamics of sessile droplets have gained considerable attention over the last few years due to their relevance to many practical applications, ranging from a variety of industrial problems to several biological systems. Droplets made of binary mixtures typically undergo complex dynamics due to the differential volatility of the considered components and the ensuing presence of thermocapillary effects. For these reasons, many research groups have focused on the evaporation of binary droplets using a variegated set of experimental, numerical, and purely theoretical approaches. Apart from reviewing the state-of-the-art about the existing experimental, analytical, and computational techniques used… More >

  • Open Access

    ARTICLE

    Stochastic Numerical Analysis for Impact of Heavy Alcohol Consumption on Transmission Dynamics of Gonorrhoea Epidemic

    Kamaleldin Abodayeh1, Ali Raza2, *, Muhammad Shoaib Arif2, Muhammad Rafiq3, Mairaj Bibi4, Muhammad Mohsin5

    CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1125-1142, 2020, DOI:10.32604/cmc.2020.08885

    Abstract This paper aims to perform a comparison of deterministic and stochastic models. The stochastic modelling is a more realistic way to study the dynamics of gonorrhoea infection as compared to its corresponding deterministic model. Also, the deterministic solution is itself mean of the stochastic solution of the model. For numerical analysis, first, we developed some explicit stochastic methods, but unfortunately, they do not remain consistent in certain situations. Then we proposed an implicitly driven explicit method for stochastic heavy alcohol epidemic model. The proposed method is independent of the choice of parameters and behaves well in all scenarios. So, some… More >

  • Open Access

    ARTICLE

    Identification, population dynamics and parasitism of aphids in pecan in the Comarca Lagunera, Mexico

    Ávila-Rodríguez V1, CA Vacio-Fraga1, U Nava-Camberos2, C Márquez-Hernández1, C García de la Peña1, V Olalde-Portugal3, JL García-Hernández2

    Phyton-International Journal of Experimental Botany, Vol.85, pp. 249-255, 2016, DOI:10.32604/phyton.2016.85.249

    Abstract Pecan Carya illinoinensis (Wang.) K. Koch is one of the most important crops in northern Mexico. In the Comarca Lagunera, during 2013, the pecan acre age was 7075 ha, a nut production of 8648 ton, and a value of US$ 29.9 million (US$ 4230/ha). The aphids Monellia caryella Fitch., Monelliopsis pecanis Bissell and Melanocallis caryaefoliae Davis (Hemiptera: Aphididae) are among the most important insect pests associated with the pecan. The objectives of this study were to identify the species of aphids, determine their population dynamics and parasitism, in pecan orchards with different insect pest management programs, in the Comarca Lagunera.… More >

  • Open Access

    ARTICLE

    Vegetation dynamics after abandonment of agricultural fields in southern Santa Fe Province, Argentina

    Boccanelli SI

    Phyton-International Journal of Experimental Botany, Vol.80, pp. 227-229, 2011, DOI:10.32604/phyton.2011.80.227

    Abstract This article has no abstract. More >

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