CHENHAO SHI¹, MAOHONG HUA², GUANHUA XU^3,*

BIOCELL, Vol.47, No.6, pp. 1329-1344, 2023, DOI:10.32604/biocell.2023.028381

Abstract Background: Ulcerative colitis (UC) is a chronic disease that often presents with abdominal pain, diarrhea, hematochezia, and significant morbidity. Gancao Xiexin decoction (GXD), a traditional Chinese medicine, has been applied for the clinical treatment of UC, while its action mechanisms are unclear. Methods: The active ingredients and their targets of GXD, and UC-related targets, were derived from public databases. Protein-protein interaction, Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the important active compounds, key targets, and signaling pathways. Then, molecular docking and animal experiments were performed to verify the findings. A total… More >

Revue Internationale de Géomatique, Vol.30, No.1, pp. 7-11, 2020, DOI:10.3166/rig.2020.00106

Abstract This article has no abstract. More >

Suhang Li¹, Yunzuo Zhang^1,*, Ruixue Liu², Jiayu Zhang¹, Zhouchen Song¹, Yutai Wang¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1163-1180, 2023, DOI:10.32604/iasc.2023.037902

Abstract The communication system of high-speed trains in railway tunnels needs to be built with leaky cables fixed on the tunnel wall with special fixtures. To ensure safety, checking the regular leaky cable fixture is necessary to eliminate the potential danger. At present, the existing fixture detection algorithms are difficult to take into account detection accuracy and speed at the same time. The faulty fixture is also insufficient and difficult to obtain, seriously affecting the model detection effect. To solve these problems, an innovative detection method is proposed in this paper. Firstly, we presented the Res-Net and Wasserstein-Deep Convolution GAN (RW-DCGAN)… More >

Linxuan Wang^1,*, Xiangwei Kong¹, Hongzhe Xu², Hong Li¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 91-110, 2023, DOI:10.32604/iasc.2023.035876

Abstract With the rapid development of autopilot technology, a variety of engineering applications require higher and higher requirements for navigation and positioning accuracy, as well as the error range should reach centimeter level. Single navigation systems such as the inertial navigation system (INS) and the global navigation satellite system (GNSS) cannot meet the navigation requirements in many cases of high mobility and complex environments. For the purpose of improving the accuracy of INS-GNSS integrated navigation system, an INSGNSS integrated navigation algorithm based on TransGAN is proposed. First of all, the GNSS data in the actual test process is applied to establish… More >

Jiangchuan Li, Peisong He^*, Jiayong Liu, Jie Luo, Qiang Xia

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 4893-4915, 2023, DOI:10.32604/cmc.2023.036819

Abstract Steganography techniques, such as audio steganography, have been widely used in covert communication. However, the deep neural network, especially the convolutional neural network (CNN), has greatly threatened the security of audio steganography. Besides, existing adversarial attacks-based countermeasures cannot provide general perturbation, and the transferability against unknown steganography detection methods is weak. This paper proposes a cover enhancement method for audio steganography based on universal adversarial perturbations with sample diversification to address these issues. Universal adversarial perturbation is constructed by iteratively optimizing adversarial perturbation, which applies adversarial attack techniques, such as Deepfool. Moreover, the sample diversification strategy is designed to improve… More >

Feng Gao^1,2,*, Liang Bao³, Qin Wang⁴

Journal of Renewable Materials, Vol.11, No.6, pp. 2771-2786, 2023, DOI:10.32604/jrm.2023.027325

Abstract Gasification of organic waste represents one of the most effective valorization pathways for renewable energy and resources recovery, while this process can be affected by multi-factors like temperature, feedstock, and steam content, making the product’s prediction problematic. With the popularization and promotion of artificial intelligence such as machine learning (ML), traditional artificial neural networks have been paid more attention by researchers from the data science field, which provides scientific and engineering communities with flexible and rapid prediction frameworks in the field of organic waste gasification. In this work, critical parameters including temperature, steam ratio, and feedstock during gasification of organic… More >

Le Anh Duc^a , Nguyen Hay^a, Pham Van Kien^b,*

Frontiers in Heat and Mass Transfer, Vol.18, No.1, pp. 1-7, 2022, DOI:10.5098/hmt.18.44

Abstract This study determined the most appropriate thin layer drying model, the effective moisture diffusivity and the activation energy of moisture within Ganoderma lucidum in radio frequency (RF) assisted heat pump drying method. The thin layer drying experiments were conducted with input drying parameters such as: drying temperature of 40, 45 and 50°C and RF power of 0.65, 1.3 and 1.95 kW. In order to select a suitable form of drying curve, seven different thin layer drying models (Lewis, Page, Modified Page, Henderson and Pabis, Verma, Midilli, and Wang and Singh) were fitted to the experimental data. The Verma model was… More >

P. Madhu Sravanthi^a,b, M. Radha Madhavi^a,*

Frontiers in Heat and Mass Transfer, Vol.19, No.1, pp. 1-9, 2022, DOI:10.5098/hmt.19.40

Abstract In this paper, reaction of magnetic field and activation energy is applied on nanoparticles and swimming gyrotactic microorganisms under the viscous dissipation is inspecting. The effect of thermophoresis and Brownian motion is also considered. The PDEs are naturalized into ODEs by using similarity transformations. To solving the PDEs by using RK-Fehlberg with shooting approach by MATLAB software. The effect of magnetic parameter, Schmidt number, Prandtl number, Brownian motion, thermophoresis, Peclet number, porosity parameter, on velocity, temperature, concentration, motile microorganism density portrait is in detailed it is discussed and the eventualities are demonstrated in graphs. The effects of these factors on… More >

Jiahe Ni^*

Journal of Information Hiding and Privacy Protection, Vol.4, No.2, pp. 79-88, 2022, DOI:10.32604/jihpp.2022.039751

Abstract Image generation is a hot topic in the academic recently, and has been applied to AI drawing, which can bring Vivid AI paintings without labor costs. In image generation, we represent the image as a random vector, assuming that the images of the natural scene obey an unknown distribution, we hope to estimate its distribution through some observation samples. Especially, with the development of GAN (Generative Adversarial Network), The generator and discriminator improve the model capability through adversarial, the quality of the generated image is also increasing. The image quality generated by the existing GAN based image generation model is… More >

Bassam F. Alowaiesh^1,*, M. M. Gad², Mohamed Saleh M. Ali³

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1813-1829, 2023, DOI:10.32604/phyton.2023.026950

Abstract Olive productivity should be improved through stimulating nutrition, particularly under poor fertility soils. Consequently, the objective of this study was to assess the efficacy of applying organic and bio-fertilizers on the physiological growth, yield and fruit quality of olive trees under newly reclaimed poor-fertility sandy soil in an arid environment. During a field experiment carried out at El-Qantara, North Sinai, Egypt over two consecutive seasons (2019–2020 and 2020–2021), olive Kalamata trees were evaluated under three organic fertilizer treatments alone or in combination with three bio-fertilizers treatments. Organic fertilizer was applied as goat manure (16.8 kg/tree/year), or olive pomace (8.5 kg/tree/year)… More >