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  • Open Access

    ARTICLE

    Metabolites Composition of Bacillus subtilis HussainT-AMU Determined by LC-MS and Their Effect on Fusarium Dry Rot of Potato Seed Tuber

    Touseef Hussain1,*, Abrar A. Khan1, Heba I. Mohamed2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 783-799, 2023, DOI:10.32604/phyton.2022.026045

    Abstract Fusarium dry rot is considered to be the most critical soilborne and postharvest disease that damages potato tubers worldwide when they are stored for a long time. This study was performed to demonstrate the effect of crude extract, culture filtrate, and cell suspension obtained from the bacterium Bacillus subtilis HussainT-AMU, on the net house and field. From oil-contaminated soil, through the serial dilution method, biosurfactant bacteria were isolated on nutrient agar medium. To isolate and screen the prospective biosurfactant strain, various biosurfactant screening methods were used. Standard protocols were carried out for morphological, molecular, and chemical characterization. The disease incidences… More >

  • Open Access

    ARTICLE

    Load Balancing Based on Multi-Agent Framework to Enhance Cloud Environment

    Shrouk H. Hessen1,2,*, Hatem M. Abdul-kader1, Ayman E. Khedr3, Rashed K. Salem1

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3015-3028, 2023, DOI:10.32604/cmc.2023.033212

    Abstract According to the advances in users’ service requirements, physical hardware accessibility, and speed of resource delivery, Cloud Computing (CC) is an essential technology to be used in many fields. Moreover, the Internet of Things (IoT) is employed for more communication flexibility and richness that are required to obtain fruitful services. A multi-agent system might be a proper solution to control the load balancing of interaction and communication among agents. This paper proposes a multi-agent load balancing framework that consists of two phases to optimize the workload among different servers with large-scale CC power with various utilities and a significant number… More >

  • Open Access

    ARTICLE

    Adapted Speed System in a Road Bend Situation in VANET Environment

    Said Benkirane1, Azidine Guezzaz1, Mourade Azrour1, Akber Abid Gardezi2, Shafiq Ahmad3, Abdelaty Edrees Sayed3, Salman Naseer4, Muhammad Shafiq5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3781-3794, 2023, DOI:10.32604/cmc.2023.033119

    Abstract Today, road safety remains a serious concern for governments around the world. In fact, approximately 1.35 million people die and 2–50 million are injured on public roads worldwide each year. Straight bends in road traffic are the main cause of many road accidents, and excessive and inappropriate speed in this very critical area can cause drivers to lose their vehicle stability. For these reasons, new solutions must be considered to stop this disaster and save lives. Therefore, it is necessary to study this topic very carefully and use new technologies such as Vehicle Ad Hoc Networks (VANET), Internet of Things… More >

  • Open Access

    ARTICLE

    Efficient Origin-Destination Estimation Using Microscopic Traffic Simulation with Restricted Rerouting

    Kazuki Abe1,*, Hideki Fujii2, Shinobu Yoshimura2

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1091-1109, 2023, DOI:10.32604/cmes.2022.021376

    Abstract Traffic simulators are utilized to solve a variety of traffic-related problems. For such simulators, origin-destination (OD) traffic volumes as mobility demands are required to input, and we need to estimate them. The authors regard an OD estimation as a bi-level programming problem, and apply a microscopic traffic simulation model to it. However, the simulation trials can be computationally expensive if full dynamic rerouting is allowed, when employing multi-agent-based models in the estimation process. This paper proposes an efficient OD estimation method using a multi-agent-based simulator with restricted dynamic rerouting to reduce the computational load. Even though, in the case of… More >

  • Open Access

    ARTICLE

    Formal Modeling of Self-Adaptive Resource Scheduling in Cloud

    Atif Ishaq Khan*, Syed Asad Raza Kazmi, Awais Qasim

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1183-1197, 2023, DOI:10.32604/cmc.2023.032691

    Abstract A self-adaptive resource provisioning on demand is a critical factor in cloud computing. The selection of accurate amount of resources at run time is not easy due to dynamic nature of requests. Therefore, a self-adaptive strategy of resources is required to deal with dynamic nature of requests based on run time change in workload. In this paper we proposed a Cloud-based Adaptive Resource Scheduling Strategy (CARSS) Framework that formally addresses these issues and is more expressive than traditional approaches. The decision making in CARSS is based on more than one factors. The MAPE-K based framework determines the state of the… More >

  • Open Access

    ARTICLE

    Characterization and Preparation of Wood-Furanic Foams

    V. K. Srivastava1, A. Pizzi2,3,*

    Journal of Renewable Materials, Vol.2, No.3, pp. 201-206, 2014, DOI:10.7569/JRM.2014.634107

    Abstract Fine wood powder/furanic foams were prepared with a strong predominance of the wood component. Low weight and density are important properties of foamed composites. Focusing on preparing light materials, wood foam composites were made using a chemical foaming method and expanded using diethyl ether as the foaming agent. The additives were added to note their effect on the density and mechanical properties, like impact strength and Young’s moduli, of the expanded composites. Various tests and scanning electron microscopy analysis were also performed. The foaming agent resulted in closed cells with varied sizes and more or less regular shapes, and with… More >

  • Open Access

    ARTICLE

    Optimization of the Plugging Agent Dosage for High Temperature Salt Profile Control in Heavy Oil Reservoirs

    Jiayu Ruan1, Mingjing Lu2,3, Wei Zhang4, Yuxi Zhang1, Yuhui Zhou1,*, Jie Gong1, Fan Wang1, Yuanxiao Guan1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 421-436, 2023, DOI:10.32604/fdmp.2022.020665

    Abstract After steam discharge in heavy oil reservoirs, the distribution of temperature, pressure, and permeability in different wells becomes irregular. Flow channels can easily be produced, which affect the sweep efficiency of the oil displacement. Previous studies have shown that the salting-out plugging method can effectively block these channels in high-temperature reservoirs, improve the suction profile, and increase oil production. In the present study, the optimal dosage of the plugging agent is determined taking into account connection transmissibility and inter-well volumes. Together with the connectivity model, a water flooding simulation model is introduced. Moreover, a non-gradient stochastic disturbance algorithm is used… More >

  • Open Access

    ARTICLE

    Multi-Agent Dynamic Area Coverage Based on Reinforcement Learning with Connected Agents

    Fatih Aydemir1, Aydin Cetin2,*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 215-230, 2023, DOI:10.32604/csse.2023.031116

    Abstract Dynamic area coverage with small unmanned aerial vehicle (UAV) systems is one of the major research topics due to limited payloads and the difficulty of decentralized decision-making process. Collaborative behavior of a group of UAVs in an unknown environment is another hard problem to be solved. In this paper, we propose a method for decentralized execution of multi-UAVs for dynamic area coverage problems. The proposed decentralized decision-making dynamic area coverage (DDMDAC) method utilizes reinforcement learning (RL) where each UAV is represented by an intelligent agent that learns policies to create collaborative behaviors in partially observable environment. Intelligent agents increase their… More >

  • Open Access

    ARTICLE

    Magnetic Wakame-Based Biochar/Ni Composites with Enhanced Adsorption Performance for Diesel

    Hua Jing1, Shiyao Lu1, Lili Ji1,*, Shijie Li1, Baikang Zhu2, Jian Guo3, Jiaxing Sun1, Lu Cai4, Yaning Wang1

    Journal of Renewable Materials, Vol.10, No.12, pp. 3147-3165, 2022, DOI:10.32604/jrm.2022.020215

    Abstract In this study, the magnetic wakame biochar/Ni composites were prepared with three activating reagents of H3PO4, ZnCl2 and KOH by one-step pyrolysis activation, characterized by BET, SEM, TEM, FI-IR, XRD, Raman, and elemental analyzer, and their adsorption performance for diesel were also analyzed. The results showed that wakame biochar/Ni composites had larger specific surface area, abundant porous structure, and various reactive groups, rendering its enhancement of adsorption efficiency. The adsorption experiments indicated that the maximum adsorption capacities for diesel using WBPA 0.5, WBHZ 0.5 and WBPH 0.5 were 4.11, 8.83, and 13.47 g/g, respectively. The Langmuir model was more suitable… More >

  • Open Access

    ARTICLE

    Silencing Artemis Enhances Colorectal Cancer Cell Sensitivity to DNA-Damaging Agents

    Hai Liu*, Xuanxuan Wang*, Aihua Huang, Huaping Gao, Yikan Sun§, Tingting Jiang*, Liming Shi*, Xianjie Wu, Qinghua Dong#, Xiaonan Sun*

    Oncology Research, Vol.27, No.1, pp. 29-38, 2019, DOI:10.3727/096504018X15179694020751

    Abstract Artemis is a key protein of NHEJ (nonhomologous end joining), which is the major pathway for the repair of IR-induced DSBs in mammalian cells. However, the expression of Artemis in tumors and the influence of silencing Artemis on tumor sensitivity to radiation have not been investigated fully. In this study, we investigated how the expression levels of Artemis may affect the treatment outcome of radiotherapy and chemotherapy in colorectal cancer cells. First, we found that the expression of Artemis is strong in some human rectal cancer samples, being higher than in adjacent normal tissues using immunohistochemical staining. We then knocked… More >

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