Shun Ma¹, Na Yu¹, Xiuna Wang², Shiyan Mei¹, Mingrui Zhao^2,*, Xiaoyu Han²

Energy Engineering, Vol.120, No.10, pp. 2369-2392, 2023, DOI:10.32604/ee.2023.028727

Abstract Using the improved prospect theory with the linear transformations of rewarding good and punishing bad (RGPBIT), a new investment ranking model for power grid construction projects (PGCPs) is proposed. Given the uncertainty of each index value under the market environment, fuzzy numbers are used to describe qualitative indicators and interval numbers are used to describe quantitative ones. Taking into account decision-maker’s subjective risk attitudes, a multi-criteria decision-making (MCDM) method based on improved prospect theory is proposed. First, the [−1, 1] RGPBIT operator is proposed to normalize the original data, to obtain the best and worst schemes of PGCPs. Furthermore, the… More >

Junpeng Lyu¹, Hai Mei^1,2, Liping Zu¹, Lisheng Liu^1,2,*, Liangliang Chu^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 391-410, 2024, DOI:10.32604/cmes.2023.030614

Abstract This article proposes a modeling method for C/C-ZrC composite materials. According to the superposition of Gaussian random field, the original gray model is obtained, and the threshold segmentation method is used to generate the C-ZrC inclusion model. Finally, the fiber structure is added to construct the microstructure of the three-phase plain weave composite. The reconstructed inclusions can meet the randomness of the shape and have a uniform distribution. Using an algorithm based on asymptotic homogenization and finite element method, the equivalent thermal conductivity prediction of the microstructure finite element model was carried out, and the influence of component volume fraction… More >

YOHKO YAMAZAKI^1,*, MANABU KAWADA², ISAO MOMOSE¹

Oncology Research, Vol.31, No.6, pp. 845-853, 2023, DOI:10.32604/or.2023.030266

Abstract The androgen receptor (AR) is a critical target in all the clinical stages of prostate cancer. To identify a new AR inhibitor, we constructed a new screening system using the androgen-dependent growth of prostate cancer cell lines as a screening indicator. We screened 50,000 culture broths of microorganisms using this screening system and found that the fermentation broth produced by a fungus inhibited androgen-dependent growth of human prostate cancer LNCaP cells without cytotoxicity. Purification of this culture medium was performed, and this resulted in deoxynortryptoquivaline (DNT) being identified as a novel inhibitor of AR function. DNT showed potent inhibition of… More > Graphic Abstract

Laura Isabel Arias-Rodríguez¹, Martha Alicia Rodríguez-Mendiola^2,*, Carlos Arias-Castro^2,*, Federico Antonio Gutiérrez Miceli¹, Diana Reséndez Pérez³, María Celina Luján Hidalgo¹, Juan José Villalobos Maldonado¹, Norma Alejandra Mancilla Margalli²

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2807-2823, 2023, DOI:10.32604/phyton.2023.030396

Abstract In recent years, there has been a growing interest in exploring alternative treatments for bone defects. Bone tissue engineering has turned its attention to plant extracts containing osteogenic flavonoids as potential promoters of bone regeneration. In our study, we specifically investigated the extract of Petroselinum crispum, a plant known for its abundance of osteogenic flavonoids such as apigenin, quercetin, and kaempferol. Our objective was to compare the total flavonoid content (TFC) and their accumulation in different sources. We obtained hydrolyzed aqueous extracts from the leaves of parsley plants (grown for 12 weeks in the field), weekly embryogenic cultures, and suspension… More >

Liping Hong, Enming He, Wenhui Zhang, Mingqiong Zheng, Jingwen Wu, Wenhua Wang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2785-2805, 2023, DOI:10.32604/phyton.2023.030928

Abstract Potato (Solanum tuberosum L.) is susceptible to enzymatic browning after fresh processing, resulting in color change and potential alteration in the nutritional quality. In this study, a popular potato cultivar, Feiwuruita, was used to profile the metabolites involved in color and nutritional quality changes in fresh shreds stored at 0 and 4 h at 25°C (designated CK and CK4H, respectively). The shreds turned brown within 4 h of storage. In all, 723 metabolites consisting 12 classes of compounds were detected in the samples, largely lipids, phenolic acids, alkaloids, amino acids and derivatives, flavonoids, organic acids, nucleotides and derivatives. Of these,… More >

Jianfeng Lu^1,*, Xinyi Liu¹, Mengtao Shi¹, Chen Cui^1,2, Mahmoud Emam^1,3

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2865-2882, 2023, DOI:10.32604/iasc.2023.039742

Abstract Ceramic tiles are one of the most indispensable materials for interior decoration. The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures. In this paper, we propose a sketch-based generation method for generating diverse ceramic tile images based on a hand-drawn sketches using Generative Adversarial Network (GAN). The generated tile images can be tailored to meet the specific needs of the user for the tile textures. The proposed method consists of four steps. Firstly, a dataset of ceramic tile images with diverse distributions is created and then pre-trained based on GAN.… More >

Ana María Peco Chacón, Isaac Segovia Ramírez, Fausto Pedro García Márquez^*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2595-2608, 2023, DOI:10.32604/iasc.2023.037277

Abstract Maintenance operations have a critical influence on power generation by wind turbines (WT). Advanced algorithms must analyze large volume of data from condition monitoring systems (CMS) to determine the actual working conditions and avoid false alarms. This paper proposes different support vector machine (SVM) algorithms for the prediction and detection of false alarms. K-Fold cross-validation (CV) is applied to evaluate the classification reliability of these algorithms. Supervisory Control and Data Acquisition (SCADA) data from an operating WT are applied to test the proposed approach. The results from the quadratic SVM showed an accuracy rate of 98.6%. Misclassifications from the confusion… More >

Zhongguo Tang¹, Haijin Zhuo¹, Beian Li¹, Xiaotao Ma², Siyu Zhao², Kai Tong^2,*

Structural Durability & Health Monitoring, Vol.17, No.5, pp. 407-431, 2023, DOI:10.32604/sdhm.2023.026033

Abstract Corrosion can be very harmful to the service life and several properties of reinforced concrete structures. The metal magnetic memory (MMM) method, as a newly developed spontaneous magnetic flux leakage (SMFL) non-destructive testing (NDT) technique, is considered a potentially viable method for detecting corrosion damage in reinforced concrete members. To this end, in this paper, the indoor electrochemical method was employed to accelerate the corrosion of outsourced concrete specimens with different steel bar diameters, and the normal components BB_z and its gradient of the SMFL fields on the specimen surfaces were investigated based on the metal magnetic memory (MMM) method.… More >

Shuai Wang^1,*, Lihong Liang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09163

Abstract Compared to pure carbon nanotube (CNT) foam (CF) and pure graphene foam (GrF), the CNT/graphene composite foam show enhanced mechanical properties, using coarse-grained molecular dynamics method, the tensile and compressive properties and corresponding deformation mechanism of several typical CNT/graphene composite foams were studied. The CNT coating could enhance the bending resistance of graphene, based on the CNT-coated graphene flakes, the CNT-coated graphene foam (CCGF) is constructed, which shows better compressive modulus due to the enhanced bending resistance of CNT-coated graphene flakes compared to graphene in pure GrF [1]. CNT can enhance the mechanical properties of graphene foams not only by… More >

Zheng Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09141

Abstract Pore structures of carbonate reservoirs are complicated leading to the indistinguishable two-phase flow mechanisms of oil and brine. This work from the molecular perspective investigates the interfacial tension of oil-brine two-phase system, the contact angle of oil-brine-carbonatite three-phase system, as well as the microscale flow mechanisms of oil and brine in carbonate nanopores, especially focusing on the effects of ion species, salinity, and carbonate surface. The following conclusions can be drawn. (1) Oil-brine interfacial tension increases with salinity for the same ion species, and increases in the order of KCl, NaCl, CaCl2 and MgCl2 for the same salinity. The cation… More >