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  • Open Access

    REVIEW

    Realizing the potential of exploiting human IPSCs and their derivatives in research of Down syndrome

    YAFEI WANG1,2,#, JIELEI NI1,#, YUHAN LIU2, DINGYING LIAO3, QIANWEN ZHOU1, XIAOYANG JI2, GANG NIU2, YANXIANG NI1,*

    BIOCELL, Vol.47, No.12, pp. 2567-2578, 2023, DOI:10.32604/biocell.2023.043781

    Abstract Down syndrome (DS) is a genetic condition characterized by intellectual disability, delayed brain development, and early onset Alzheimer’s disease. The use of primary neural cells and tissues is important for understanding this disease, but there are ethical and practical issues, including availability from patients and experimental manipulability. Moreover, there are significant genetic and physiological differences between animal models and humans, which limits the translation of the findings in animal studies to humans. Advancements in induced pluripotent stem cells (iPSC) technology have revolutionized DS research by providing a valuable tool for studying the cellular and molecular pathologies associated with DS. Induced… More >

  • Open Access

    ARTICLE

    New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic Algorithm for 5G and Beyond Communications

    Shimaa M. Amer1, Ashraf A. M. Khalaf2, Amr H. Hussein3,4, Salman A. Alqahtani5, Mostafa H. Dahshan6, Hossam M. Kassem3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2749-2767, 2024, DOI:10.32604/cmes.2023.029138

    Abstract Side lobe level reduction (SLL) of antenna arrays significantly enhances the signal-to-interference ratio and improves the quality of service (QOS) in recent and future wireless communication systems starting from 5G up to 7G. Furthermore, it improves the array gain and directivity, increasing the detection range and angular resolution of radar systems. This study proposes two highly efficient SLL reduction techniques. These techniques are based on the hybridization between either the single convolution or the double convolution algorithms and the genetic algorithm (GA) to develop the Conv/GA and DConv/GA, respectively. The convolution process determines the element’s excitations while the GA optimizes… More >

  • Open Access

    ARTICLE

    Optimization of Blade Geometry of Savonius Hydrokinetic Turbine Based on Genetic Algorithm

    Jiahao Lu1, Fangfang Zhang1, Weilong Guang1, Yanzhao Wu1, Ran Tao1,2,*, Xiaoqin Li1,2, Ruofu Xiao1,2

    Energy Engineering, Vol.120, No.12, pp. 2819-2837, 2023, DOI:10.32604/ee.2023.042287

    Abstract Savonius hydrokinetic turbine is a kind of turbine set which is suitable for low-velocity conditions. Unlike conventional turbines, Savonius turbines employ S-shaped blades and have simple internal structures. Therefore, there is a large space for optimizing the blade geometry. In this study, computational fluid dynamics (CFD) numerical simulation and genetic algorithm (GA) were used for the optimal design. The optimization strategies and methods were determined by comparing the results calculated by CFD with the experimental results. The weighted objective function was constructed with the maximum power coefficient Cp and the high-power coefficient range R under multiple working conditions. GA helps… More >

  • Open Access

    ARTICLE

    Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets

    Xiaobao Yu*, Kang Yang

    Energy Engineering, Vol.120, No.12, pp. 2741-2760, 2023, DOI:10.32604/ee.2023.028041

    Abstract Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these… More >

  • Open Access

    COMMENTARY

    Game-changing insights on vertebral skeletal stem cells in bone metastasis and therapeutic horizons

    QIUQIANG CHEN1,*, XIAOLEI ZHAO2, WENXUE MA3,*

    Oncology Research, Vol.32, No.1, pp. 95-98, 2024, DOI:10.32604/or.2023.046174

    Abstract Greenblatt and his team have unveiled vertebral skeletal stem cells (vSSCs) as a critical player in the landscape of bone metastasis. This commentary delves into the transformative discoveries surrounding vSSCs, emphasizing their distinct role in bone metastasis compared to other stem cell lineages. We illuminate the unique properties and functions of vSSCs, which may account for the elevated susceptibility of vertebral bones to metastatic invasion. Furthermore, we explore the exciting therapeutic horizons opened by this newfound understanding. These include potential interventions targeting vSSCs, modulation of associated signaling pathways, and broader implications for the treatment and management of bone metastasis. By… More > Graphic Abstract

    Game-changing insights on vertebral skeletal stem cells in bone metastasis and therapeutic horizons

  • Open Access

    ARTICLE

    Overexpression of β-1,4-Glucanase Gene EuEG1 Improves Micrografting of Eucommia ulmoides

    Lei Wang1, Runying Wang1, Yi Li3, Yichen Zhao1,*, Degang Zhao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3063-3075, 2023, DOI:10.32604/phyton.2023.043803

    Abstract Adventitious root formation poses a major constraint on the tissue culture and genetic transformation of Eucommia ulmoides. Micrografting offers a new method for the transplantation of genetic transformation, and its success depends on the formation of graft unions. This study used transgenic rootless test-tube seedlings as scions and seedlings from seed as rootstocks during micrografting to avoid the rooting issues that occur during tissue culture and to investigate the role of the EuEG1 gene in the graft healing process. We found that the EuEG1 gene is a vital regulator of graft, and its overexpression contributes to the survival of Eucommia… More >

  • Open Access

    ARTICLE

    Conductor Arrangement and Phase Sequence Optimization Scheme for 500 kV Four-Circuit Transmission Lines on Same Tower

    Deng Lu1, Xujun Lang1, Bo Yang1, Ziyang Li1, Hang Geng2,*

    Energy Engineering, Vol.120, No.10, pp. 2287-2306, 2023, DOI:10.32604/ee.2023.029140

    Abstract The four-circuit parallel line on the same tower effectively solves the problems faced by the line reconstruction and construction under the condition of the increasing shortage of transmission corridors. Optimizing the conductor and phase sequence arrangement of multiple transmission lines is conducive to improving electromagnetic and electrostatic coupling caused by electromagnetic problems. This paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same tower. It stimulates the induced voltage and current values of different line lengths, tower spacing, vertical and horizontal spacing between different circuits, phase sequence arrangement, and nominal tower height. Moreover,… More >

  • Open Access

    ARTICLE

    First Report of a Successful Development of Yam Hybrids (Dioscorea alata L.) from Lyophilized and Long-Term Stored Pollens

    Erick Malédon1, Elie Nudol1, Christophe Perrot1, Marie-Claire Gravillon1, Ronan Rivallan2,3, Denis Cornet2, Hâna Chair2,3, Komivi Dossa1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2861-2874, 2023, DOI:10.32604/phyton.2023.042397

    Abstract Various biological constraints including erratic and asynchronous flowering between male and female plants hinder successful hybrid development and genetic gains in greater yam breeding programs. Therefore, pollen storage has gained much attention to facilitate artificial pollinations and increase the genetic gains. This 4-year study aimed at developing a practical long-term pollen storage technique for the successful development of yam hybrids. Fresh pollens were collected from two Dioscorea alata males, then lyophilized (two lyophilization treatments were applied), followed by storage at room temperature (24°C–25°C) for 12 months. Moreover, the lyophilized and stored pollens were tested for viability by crossing with four… More >

  • Open Access

    ARTICLE

    Optimization of Cognitive Radio System Using Enhanced Firefly Algorithm

    Nitin Mittal1, Rohit Salgotra2,3, Abhishek Sharma4, Sandeep Kaur5, S. S. Askar6, Mohamed Abouhawwash7,8,*

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3159-3177, 2023, DOI:10.32604/iasc.2023.041059

    Abstract The optimization of cognitive radio (CR) system using an enhanced firefly algorithm (EFA) is presented in this work. The Firefly algorithm (FA) is a nature-inspired algorithm based on the unique light-flashing behavior of fireflies. It has already proved its competence in various optimization problems, but it suffers from slow convergence issues. To improve the convergence performance of FA, a new variant named EFA is proposed. The effectiveness of EFA as a good optimizer is demonstrated by optimizing benchmark functions, and simulation results show its superior performance compared to biogeography-based optimization (BBO), bat algorithm, artificial bee colony, and FA. As an… More >

  • Open Access

    ARTICLE

    A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

    Ali Ahmadi Shahrakht1, Parisa Hajirahimi2, Omid Rostami3, Diego Martín4,*

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3059-3081, 2023, DOI:10.32604/iasc.2023.040502

    Abstract As the internet of things (IoT) continues to expand rapidly, the significance of its security concerns has grown in recent years. To address these concerns, physical unclonable functions (PUFs) have emerged as valuable tools for enhancing IoT security. PUFs leverage the inherent randomness found in the embedded hardware of IoT devices. However, it has been shown that some PUFs can be modeled by attackers using machine-learning-based approaches. In this paper, a new deep learning (DL)-based modeling attack is introduced to break the resistance of complex XAPUFs. Because training DL models is a problem that falls under the category of NP-hard… More >

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