FENGLIN BAI^1,2,#, BIANXIA BAI^1,2,#, TINGTING JIN^1,2, GUIPING ZHANG^1,2, JIAHONG REN^1,2,*

BIOCELL, Vol.47, No.3, pp. 647-656, 2023, DOI:10.32604/biocell.2023.024758 - 03 January 2023

Abstract Background: Serratia ureilytica DW2 is a highly efficient phosphate-solubilizing bacteria isolated from Codonopsis pilosula rhizosphere soil that can promote the growth of C. pilosula; nonetheless, until now, no validated reference genes from the genus Serratia have been reported that can be used for the normalization of quantitative real-time polymerase chain reaction (RT–qPCR) data. Methods: To screen stable reference genes of S. ureilytica DW2, the expression of its eight candidate reference genes (16S rRNA, ftsZ, ftsA, mreB, recA, slyD, thiC, and zipA) under different treatment conditions (pH, temperature, culture time, and salt content) was assayed by RT–qPCR. The expression stability of these genes was analyzed using… More >

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 - 29 November 2022

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 >

QIAN ZHANG^1,#, MIN ZHEN^2,#, PENG LI³, XIAOPEI CHI^4,*, YIFEI ZHANG^1,*

BIOCELL, Vol.47, No.2, pp. 431-439, 2023, DOI:10.32604/biocell.2023.024948 - 18 November 2022

Abstract The correlation between microbiota plays a vital role in the progression of periodontal disease. This study investigated the in situ interaction networks between periodontal pathogens in periodontal and peri-implant disease. We used quantitative real-time polymerase chain reaction and Pearson’s correlation coefficients to quantify the copy numbers and correlations of four oral core species—Fusobacterium nucleatum, Porphyromonas gingivalis, Prevotella intermedia, and Streptococcus gordonii—from 80 subgingival sites (healthy and with periodontitis or gingivitis) in patients with periodontitis, and 68 subgingival sites (healthy and with periodontitis, gingivitis, peri-implantitis, or peri-implant mucositis) in patients with implants. The highest bacterial counts were observed for Porphyromonas gingivalis… More >

Tanhao Zhang, Shuo Zhang, Wu Lan^*, Fengxia Yue^*

Journal of Renewable Materials, Vol.11, No.2, pp. 555-566, 2023, DOI:10.32604/jrm.2023.025701 - 22 September 2022

Abstract Ferulic acid (FA) and p-coumaric acid (pCA) in bagasse, wheat straw, corn straw, and corncob were extracted by alkaline hydrolysis and characterized by gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). It was found that the FA and most of the pCA in gramineous biomass could be dissociated and released after being treated with 1 M NaOH at 100°C for 4 h. The yields of pCA/FA in bagasse, wheat straw, corn straw, and corncob determined by GC-FID are 39.8/11.5, 13.7/11.0, 28.0/11.0, and 35.1/14.5 mg/g, respectively. The raw materials and the treated solid residues were characterized by gel-state… More > Graphic Abstract

Kesheng Lin^1,2, Jiawen Zhou^1,2, Lijuan Han^1,2, Ning Li^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 285-296, 2023, DOI:10.32604/phyton.2022.023219 - 06 September 2022

Abstract As a traditional herbal medicine, the major alkaloids in Uncaria rhynchophylla have been proven to have blood pressure-lowering and sedative effects. It is essential to develop an effective method for the determination of the major alkaloids in U. rhynchophylla. In this research, a rapid quantitative analysis involving multi-components analysis by a single marker strategy coupled with core-shell column HPLC was adopted to analyse four alkaloids (corynoxeine, isocorynoxeine, isorhynchophylline, rhynchophylline) in U. rhynchophylla. Isorhynchophylline was selected as the internal reference substance, the content of which was determined by the traditional external standard method. Relative correction factors (RCF) between isorhynchophylline More >

Qunyi Wang¹, Xiaoli Ma¹, Yongbin Bi¹, Haiyan He¹, Xiao Gu¹, Tongjing Liu^2,*, Lekun Zhao³

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 361-377, 2023, DOI:10.32604/fdmp.2022.020358 - 29 August 2022

Abstract Current methods for the analysis of channeling-path phenomena in reservoirs cannot account for the influence of time and space on the actual seepage behavior. In the present study, this problem is addressed considering actual production data and dynamic characteristic parameters quantitatively determined in the near wellbore area by fitting the water-cut curve of the well. Starting from the dynamic relationship between injection and production data, the average permeability is determined and used to obtain a real-time quantitative characterization of the seepage behavior of the channeling-path in the far wellbore area. For the considered case study More >

Zhengshu Zhou^*, Yutaka Matsubara, Hiroaki Takada

Computer Systems Science and Engineering, Vol.45, No.1, pp. 35-50, 2023, DOI:10.32604/csse.2023.030848 - 16 August 2022

Abstract Since entering the era of Industry 4.0, the concept of Healthcare 4.0 has also been put forward and explored by researchers. How to use Information Technology (IT) to better serve people’s healthcare is one of the most featured emerging directions in the academic circle. An important field of Healthcare 4.0 research is the reliability engineering of healthcare service. Because healthcare systems often affect the health and even life of their users, developers must be very cautious in the design, development, and operation of these healthcare systems and services. The problems to be solved include the More >

Yanfei Feng, Jiaming Lin, Longxing Niu, Peng Pan, Xueping Liu, Linling Huang, Ying Guo, Mingzhong Li^*

Journal of Renewable Materials, Vol.11, No.1, pp. 167-184, 2023, DOI:10.32604/jrm.2022.021339 - 10 August 2022

Abstract The development of a method for the quantitative determination of the sericin content ratio (SCR) is urgently needed for silk refining and the purification of silk fibroin for biomedical applications. In this work, a series of sericin/fibroin mixed samples with known SCRs were prepared by mixing initial samples of extracted sericin and fibroin from Bombyx mori silk. Significant differences were found in the contents of characteristic hydrophilic amino acids abundant in sericin and hydrophobic amino acids abundant in fibroin, and several linear relationships of SCR associated with the content ratios of Ser/Ala, Asp/Ala, Lys/Ala, Asp/Gly and… More > Graphic Abstract

Kangze Yuan¹, Kui Liu^1,2,*, Guoyang Yi³, Bowen Yang²

Journal of Renewable Materials, Vol.10, No.12, pp. 3611-3627, 2022, DOI:10.32604/jrm.2022.022458 - 14 July 2022

Abstract Cement Stabilized Loess (CSL) sample has a long history as a method of improving building foundations. In this paper, the main physical (specific gravity, consistency limit, optimum moisture content, and maximum dry density) and mechanical properties (Unconfined Compressive Strength (UCS) and shear strength parameters) of CSL samples with different cement content were investigated, and the change reasons were explored by mean of SEM test. Meanwhile, quantitative analysis software Image-Pro Plus (IPP) 6.0 was used to characterize the microstructural evolution of pores in compacted loess and CSL sample. As the cement content increased, the specific gravity… More > Graphic Abstract

Ming Wan¹, Quanliang Li¹, Jiangyuan Yao^2,*, Yan Song³, Yang Liu⁴, Yuxin Wan⁵

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4033-4049, 2022, DOI:10.32604/cmc.2022.030895 - 16 June 2022

Abstract Anomaly detection is becoming increasingly significant in industrial cyber security, and different machine-learning algorithms have been generally acknowledged as various effective intrusion detection engines to successfully identify cyber attacks. However, different machine-learning algorithms may exhibit their own detection effects even if they analyze the same feature samples. As a sequence, after developing one feature generation approach, the most effective and applicable detection engines should be desperately selected by comparing distinct properties of each machine-learning algorithm. Based on process control features generated by directed function transition diagrams, this paper introduces five different machine-learning algorithms as alternative… More >