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  • Open Access

    ARTICLE

    Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

    Pavel Trojovský1,*, Mohammad Dehghani1, Eva Trojovská1, Eva Milkova2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1527-1573, 2023, DOI:10.32604/cmes.2023.025908

    Abstract In this paper, based on the concept of the NFL theorem, that there is no unique algorithm that has the best performance for all optimization problems, a new human-based metaheuristic algorithm called Language Education Optimization (LEO) is introduced, which is used to solve optimization problems. LEO is inspired by the foreign language education process in which a language teacher trains the students of language schools in the desired language skills and rules. LEO is mathematically modeled in three phases: (i) students selecting their teacher, (ii) students learning from each other, and (iii) individual practice, considering exploration in local search and… More > Graphic Abstract

    Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

  • Open Access

    ARTICLE

    Experimental Evaluation of Trilateration-Based Outdoor Localization with LoRaWAN

    Saeed Ahmed Magsi1,2,*, Mohd Haris Bin Md Khir1, Illani Bt Mohd Nawi1, Muath Al Hasan3, Zaka Ullah3, Fasih Ullah Khan4, Abdul Saboor5, Muhammad Aadil Siddiqui1,2

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 845-862, 2023, DOI:10.32604/cmc.2023.033636

    Abstract Long Range Wide Area Network (LoRaWAN) in the Internet of Things (IoT) domain has been the subject of interest for researchers. There is an increasing demand to localize these IoT devices using LoRaWAN due to the quickly growing number of IoT devices. LoRaWAN is well suited to support localization applications in IoTs due to its low power consumption and long range. Multiple approaches have been proposed to solve the localization problem using LoRaWAN. The Expected Signal Power (ESP) based trilateration algorithm has the significant potential for localization because ESP can identify the signal’s energy below the noise floor with no… More >

  • Open Access

    ARTICLE IN FRENCH

    Impact of Complementary Medicines on Survival in Patients with Cancer Treated with Oral Chemotherapy in an Oncology Hospital in France: Exploratory Study

    Impact des Thérapies Complémentaires sur la Survie de Patients Atteints d’un Cancer Traités par Chimiothérapie Orale dans un Établissement Hospitalier Français Spécialisé en Oncologie : Étude Exploratoire

    Grégory Ninot1,2,*, Estelle Guerdoux1,2, François Carbonnel1, Kerstin Faravel2, Ludovic Ismael1, Fanny Leenhardt2, Béatrice Lognos1, Caroline Perrier2, Laurent Philibert2, Boris Tronc1, Marie Viala2

    Oncologie, Vol.24, No.4, pp. 605-612, 2022, DOI:10.32604/oncologie.2022.024558

    Abstract A retrospective observational study carried out in the United States showed a decrease in survival in patients treated for breast, prostate, lung and colorectal cancer with complementary medicines. We verified this result with a French population of consecutive 636 patients diagnosed with the same cancer and treated with oral chemotherapy in an hospital for three years. An interview by a pharmacist before the administration of oral chemotherapy was made to identify the complementary medicines used by the patients. We compared the overall survival using a log-rank test by stratifying the groups (number of cancers, number of comorbidities, age, sex). The… More >

  • Open Access

    ARTICLE

    Billiards Optimization Algorithm: A New Game-Based Metaheuristic Approach

    Hadi Givi1,*, Marie Hubálovská2

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5283-5300, 2023, DOI:10.32604/cmc.2023.034695

    Abstract Metaheuristic algorithms are one of the most widely used stochastic approaches in solving optimization problems. In this paper, a new metaheuristic algorithm entitled Billiards Optimization Algorithm (BOA) is proposed and designed to be used in optimization applications. The fundamental inspiration in BOA design is the behavior of the players and the rules of the billiards game. Various steps of BOA are described and then its mathematical model is thoroughly explained. The efficiency of BOA in dealing with optimization problems is evaluated through optimizing twenty-three standard benchmark functions of different types including unimodal, high-dimensional multimodal, and fixed-dimensional multimodal functions. In order… More >

  • Open Access

    ARTICLE

    A Duty Cycle-Based Gateway Selection Algorithm for LoRaWAN Downlink Communication

    Mohammad Al Mojamed*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2953-2970, 2023, DOI:10.32604/csse.2023.032965

    Abstract Long Range Wide Area Network (LoRaWAN) has been developed to meet the requirements for the enormous device-to-device communication of Internet of Things (IoT) networks, which consist of a large number of participating devices spread over large coverage areas with low data rates and low power consumption. It supports communications in both directions, uplink, and downlink directions. However, the downlink communication in the current LoRaWAN raises the bottleneck issue at gateways due to the used gateway selection algorithm. This paper proposes a novel gateway selection algorithm based on the duty cycle time-off values for the existing gateways, Duty Cycle Gateway Selection… More >

  • Open Access

    ARTICLE

    Selection of Stable Reference Genes for Quantitative Real-Time PCR on Herbaceous Peony (Paeonia lactiflora Pall.) in Response to Drought Stress

    Zhipeng Sheng, Yuting Luan, Cong Xu, Jun Tao*, Daqiu Zhao*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 801-814, 2023, DOI:10.32604/phyton.2023.024953

    Abstract Herbaceous peony (Paeonia lactiflora Pall.), as a high-end cut flower in the international market, has high ornamental and medicinal values. But in Northern China, drought is a major environmental factor influencing the growth and development of P. lactiflora. Quantitative real-time polymerase chain reaction (qRT-PCR) can evaluate gene expression levels under different stress conditions, and stable internal reference is the key for qRT-PCR. At present, there is no systematic screening of internal reference for correcting gene expressions of P. lactiflora in response to drought stress. In this study, 10 candidate genes [ubiquitin (UBQ2), UBQ1, elongation factor 1-α (EF-1α), Histidine (His), eukaryotic… More >

  • Open Access

    REVIEW

    Gut microbiome modulation: Ancillary effects of inorganic nanoparticles on gut microflora

    SEHRISH ABBAS1, BUSHRA UZAIR1,*, MAISRA AZHAR BUTT1, FARID MENAA2, BARKAT A. KHAN3,*

    BIOCELL, Vol.47, No.2, pp. 245-260, 2023, DOI:10.32604/biocell.2023.025311

    Abstract The association of gut microflora and human health is being increasingly recognized, and the impact of gut microflora on the host is well characterized, including the body’s energy metabolism and immune system maintenance. Several human diseases, including metabolic, autoimmune, obesity, hypothyroidism, and intestinal disorders, are closely associated with gut dysbiosis. Inorganic nanoparticles (NPs) are extensively utilized in numerous fields due to their distinctive, attractive physicochemical properties. Estimation of the potential impacts of NPs, with a high number of microorganisms inside the human body (microbiota) and its genomes (microbiome), represents one of the most important aspects of nano-toxicology. This review article… More > Graphic Abstract

    Gut microbiome modulation: Ancillary effects of inorganic nanoparticles on gut microflora

  • Open Access

    ARTICLE

    Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm

    El-Sayed M. El-kenawy1,2, Abdelaziz A. Abdelhamid3,4, Abdelhameed Ibrahim5, Seyedali Mirjalili6,7, Nima Khodadad8, Mona A. Al duailij9, Amel Ali Alhussan9,*, Doaa Sami Khafaga9

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1917-1934, 2023, DOI:10.32604/csse.2023.032497

    Abstract Metaheuristic optimization algorithms present an effective method for solving several optimization problems from various types of applications and fields. Several metaheuristics and evolutionary optimization algorithms have been emerged recently in the literature and gained widespread attention, such as particle swarm optimization (PSO), whale optimization algorithm (WOA), grey wolf optimization algorithm (GWO), genetic algorithm (GA), and gravitational search algorithm (GSA). According to the literature, no one metaheuristic optimization algorithm can handle all present optimization problems. Hence novel optimization methodologies are still needed. The Al-Biruni earth radius (BER) search optimization algorithm is proposed in this paper. The proposed algorithm was motivated by… More >

  • Open Access

    ARTICLE

    LoRa Backscatter Network Efficient Data Transmission Using RF Source Range Control

    Dae-Young Kim1, SoYeon Lee2, Seokhoon Kim1,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4015-4025, 2023, DOI:10.32604/cmc.2023.027078

    Abstract Networks based on backscatter communication provide wireless data transmission in the absence of a power source. A backscatter device receives a radio frequency (RF) source and creates a backscattered signal that delivers data; this enables new services in battery-less domains with massive Internet-of-Things (IoT) devices. Connectivity is highly energy-efficient in the context of massive IoT applications. Outdoors, long-range (LoRa) backscattering facilitates large IoT services. A backscatter network guarantees timeslot-and contention-based transmission. Timeslot-based transmission ensures data transmission, but is not scalable to different numbers of transmission devices. If contention-based transmission is used, collisions are unavoidable. To reduce collisions and increase transmission… More >

  • Open Access

    ARTICLE

    B Class Floral Homeotic Genes are Involved in the Petal Identity and Flower Meristem Determinations in Chrysanthemum morifolium

    Jiayou Liu, Lian Ding, Xue Zhang, Song Li, Yunxiao Guan, Diwen Jia, Aiping Song, Jiafu Jiang, Fadi Chen*

    Phyton-International Journal of Experimental Botany, Vol.92, No.2, pp. 311-331, 2023, DOI:10.32604/phyton.2022.023896

    Abstract Chrysanthemum morifolium, an ornamental crop with diverse forms of inflorescence, is a good model for studying flower development in Asteraceae. However, the genetic background is complex and the mechanisms of regulating flower development are still unclear. Here, we identified two natural mutant lines of chrysanthemum and named them M1 and M2 according to the severity of the phenotype. Both lines showed defects in petal identity, and the petals of the M1 line had a mild phenotype: partially loss of petal identity and conversion of petals into green, leaf-like organs. The M2 line had severe phenotypes: in addition to severe petal… More >

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