Loading...
在线办公
Reader Center
Visited
    Total visitors:
    Visitors of today:
    Now online:

Table of Content

    28 August 2022, Volume 50 Issue 4
    Previous Issue    Next Issue
    Preparation and Properties of Hydrophobic Nano-Al2O3 Composite Phase Change Energy-storing Microcapsules
    WANG Haiping，ZENG Yiyun，CHEN Lvxin，LIU Yun，LU Zhen，YU Fan，HU Siqian
    2022, 50(4):  5-13.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.001
    Asbtract ( 62 )   PDF (2764KB) ( 62 )  
    Related Articles | Metrics
    Microencapsulated phase change materials（MEPCMs）can effectively prevent the leakage and erosion of phase change material during the melting phase change process，which has broad industrial applications in heat storage and temperature regulation. Herein，novel microencapsulated phase change energy-storing materials were prepared by in-situ polymerization using hydrophobic-aluminum oxide （H-Al2O3） modified 1-tetradecanol（TD） as core and melamine-urea-formaldehyde （MUF） resin as shell material. The effects of H-Al2O3 dosage on morphology and thermal properties of phase change microcapsules were investigated. The prepared modified microcapsules were characterized by Fourier transformation infrared spectroscope（FTIR），scanning electron microscopy/energy dispersive X-ray spectroscopy， differential scanning calorimeter， thermogravimetric analyzer，and multi-channel temperature inspection instrument. The results showed that the prepared MEPCMs with H-Al2O3 had a compact surface and spherical shape. When the weight content of H-Al2O3（relative to TD）was 4%，the highest encapsulation ratio of the modified MEPCMs could reach 76. 29% and the melting enthalpy was measured as 165. 4 J/g. The thermal stability and temperature control performance of the tetradecanol microcapsules were also improved due to high thermal conductive nano-Al2O3.
    Substituent Effect in Modeling Molecular Structure and Optical Properties of the Trimethyl-s-triazine Derivatives with Different Donors
    CAO Wei，ZHANG Minli，ZHOU Ruixue
    2022, 50(4):  14-21.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.002
    Asbtract ( 68 )   PDF (3195KB) ( 94 )  
    Related Articles | Metrics
    Several D- π -A trimethyl-s-triazine derivatives were synthesized via aldol reaction with trimethyl-s-triazine as donors，and their steady-state，transient spectra were characterized. The molecular structure of the compounds was analyzed using density functional theory（DFT）. Combined with the conclusions of the computational model and the results of spectral characterization， the effect on optical properties related to the symmetry of molecular structures and different donors was discussed. The experimental results demonstrated that the designed molecular structure showed expected optical properties. These properties were mainly determined by the intramolecular charge transfer between the electron-donor unit D and the triazine-acceptor unit.
    Comparative Analysis of Crude Protein and Crude Fat Contents of 10 Kinds of Edible Legumes Seeds
    WAN Heping，RAN Jinghong，TANG Wenbin，HUANG Benliang，LIU Chunyue，TONG Jiangqun，CHEN Chanyou
    2022, 50(4):  22-30.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.003
    Asbtract ( 296 )   PDF (1774KB) ( 76 )  
    Related Articles | Metrics
    Edible legumes provide humans with abundant plant-based proteins and fats. In this study，10 kinds of common edible legumes were used as the research objects，the crude protein and crude fat of the seeds of 10 kinds of edible legumes were accurately determined through field experiments and indoor experiments，and statistical analysis was carried out. The results showed that among the 10 kinds of legumes，cowpea seeds had the highest crude protein content averaging 42. 80% and concave seeds had the lowest crude protein content averaging 33. 47%. Quinoa seeds had the highest crude fat content averaging 16. 42% and mung bean seeds had the lowest crude fat content averaging 2. 84%. Quinoa seeds had the highest protein-fat content（total protein and fat）averaging 54. 12% and adzuki bean seeds had the lowest protein-fat content averaging 42. 17%. The cluster analysis of the protein，fat，and total protein-fat of the 50 edible bean materials divided the 50 materials into 3 groups. Group I had the largest number，mainly cowpea and adzuki beans，etc. Group II was mainly dominated by concave beans and rice beans，etc. There was only one type of concave beans in Group III. This study provides data support for understanding the nutritional quality levels of different edible legumes.
    Physicochemical Factors and Biological Activity of Phaseolus Vulgaris Phytohaemagglutinin
    CHEN Gao，ZHU Xun，ZENG Fen，HE Qingsong，CHEN Chanyou
    2022, 50(4):  31-37.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.004
    Asbtract ( 296 )   PDF (1410KB) ( 87 )  
    Related Articles | Metrics
    In order to clarify the physicochemical properties of Phaseolus vulgaris Phytohaemagglutinin（PHA） and promote its development and utilization， the effects of temperature， pH，denaturant，sugar-binding specificity，and metal ion on the activity of PHA were studied after separated and purified from fresh bean pods. At the same time，the difference in lectin activity in different legumes was also studied. The results showed that the coagulation activity of PHA was completely lost at 90 ℃ for 5 min. The agglutinin in the range of pH 2 ~ 13 had strong hemagglutination activity and strong acid-base stability. After treatment by EDTA，Fe2+ and Cu2+ could restore the hemagglutination activity of the common bean agglutinin，while Ca2+，Mg2+，and Zn2+ couldn't restore. D-fructose and L-rhamnose had inhibitory effects on the activity of PHA. The PHA was not sensitive to the tested denaturant. Only a high concentration of SDS and urea had some inhibitory effect on its hemagglutination activity. The order of hemagglutination activity of different leguminous plants was common bean > lentils > cat bean = cassia seed > sword bean = phaseolus coccineus > rice bean > cowpea = winged bean. The study clarifies the physical and chemical properties of PHA and its activity change rules. It provides a theoretical basis for regulating PHA activity intensity and facilitates the development and utilization of secondary metabolites.
    Spectral Moments of Unicyclic Graphs
    WU Yaping，ZHOU Liyong，XUE Zhenyu，DONG Na，CUI Juanjuan，LI Yiting
    2022, 50(4):  38-44.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.005
    Asbtract ( 70 )   PDF (1458KB) ( 69 )  
    Related Articles | Metrics
    The spectral moments are the important algebraic invariants of graphs. On the structure feature of trees and unicyclic graphs， find all connected subgraphs which can generate closed walks of lengths 9 and 10，then design a depth-first search algorithm，and finally provide the calculation formulas of 9th and 10th spectral moments for unicyclic graphs，respectively.
    Research on Color Selection of Mosaic Tiles Based on Multiple Color Models
    DUAN Tianyao，KE Yuanyuan
    2022, 50(4):  45-52.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.006
    Asbtract ( 409 )   PDF (2855KB) ( 129 )  
    Related Articles | Metrics
    Based on the color selection of mosaic tiles in the ″Huazhong Cup″ College Students Mathematical Modeling Challenge，this paper presents color selection studies of mosaic tiles based on the Euclidean distance model and HSV color space model. The required color and the existing color are matched using MATLAB data preprocessing and color visualization to improve the matching rate.
    Exploring Main Active Ingredients and Mechanism of Taohong Siwu Decoction to Improve Fracture Healing by Network Pharmacology
    QIAO Yu，YUAN Fahu，MAO Yurong，WANG Xin，HU Jun，ZHAO Zhigang
    2022, 50(4):  53-62.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.007
    Asbtract ( 108 )   PDF (4675KB) ( 70 )  
    Related Articles | Metrics
    Objective To explore the main active ingredients and mechanism of ″ Taohong Siwu Decoction″ promoting fracture healing using network pharmacology. Methods Using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP） to search the active ingredients corresponding to all drugs in ″ Taohong Siwu Decoction″ （THSWT），and screen the corresponding targets of the active ingredients. GeneCards database platform was used to mine the targets related to fracture healing（FH），and the Venn diagram of the ″ drug-disease″ common target was constructed. Cytoscape 3.8.2 was used to draw the network regulation map of ″drug active component-target-disease″，and the protein-protein interaction（PPI）network was constructed with the help of String 11.5 to obtain the number of adjacent nodes of core genes in the PPI network. Then Cytoscape 3.8.2 was used for topology analysis of the PPI network，and finally，the core genes were obtained. Functional annotation of gene ontology（GO）and pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes（KEGG）was taken using the R language package clusterProfiler to predict the mechanism of ″ Taohong Siwu Decoction″ on promoting fracture healing. Results 69 active components involving 5 345 targets were predicted in ″Taohong Siwu Decoction″. 2 383 targets for fracture healing were identified，and 140 common target genes were obtained. The PPI analysis was used to identify ALB，AKT1，VEGFA，MMP2，MMP9，CASP3，JUN，and MYC as the core targets for promoting fracture healing. Enrichment analysis included 2 258 GO items（P < 0. 05） and 151 KEGG signaling pathways （P < 0. 05）. The main enrichment pathways were PI3K ? Akt signaling pathway，AGE ? RAGE signaling pathway，IL ? 17 signaling pathway，etc. Conclusion ″Taohong Siwu Decoction″ can promote fracture healing through multiple targets and pathways, which provides a research direction to further reveal its mechanism of action, and the effectiveness of the targets can be further verified through in vivo and in vitro experiments.
    A Case of Ductal Carcinoma in Situ of Breast with Pneumonia Myofibroblastoma and Literature Review
    MA Kuan，LIU Yuchen，LI Mengzhi，ZHU Ling
    2022, 50(4):  63-69.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.008
    Asbtract ( 46 )   PDF (3196KB) ( 48 )  
    Related Articles | Metrics
    Objective The inflammatory myofibroblastic tumor （IMT） is a mesenchymal tumor with infiltrating and worsening characteristics，usually in the lungs. Because IMT lacks specific clinical symptoms and the imaging findings are changeable，it is easy to be misdiagnosed. This article discusses the pathogenesis，clinical manifestations，diagnosis，treatment，and prognosis of IMT and provides clinical experience for improving the accuracy of diagnosing mesenchymal tumors. Methods The imaging manifestations of a case of breast ductal carcinoma in situ combined with pneumonia myofibroblastoma confirmed by surgery and pathology were analyzed retrospectively. A review and review of the relevant literature on the pathogenesis， clinical features， imaging manifestations， treatment methods， and prognosis of IMT was summarized. Results Pneumonia myofibroblastoma was clinically dyspnea or fever，cough，sputum，chest tightness，etc. Laboratory tests were not specific and may have reduced hemoglobin concentration，increased thrombocytosis，and increased sedimentation rate. It was divided into infiltrating type，mass type，and nodular type on the image. The mass type was more common，mostly single，round，or quasi-circular，and mostly in the superficial part of the lung. Pathology was the gold standard for IMT diagnosis. The tumor was composed of differentiated myofibroblastic spindle cells，arranged in bundles or spirals， with a large number of plasma cells and/or lymphocytes infiltration in the interstitium. Immunohistochemistry showed the spindle shape cells expressing smooth muscle actin and vimentin with a good prognosis，and surgical resection was the main treatment. Conclusion The clinical manifestations of IMT are not specific. The diagnosis is based on a chest X-ray，chest CT，and percutaneous lung biopsy. The only way to confirm IMT is through pathological examination. The microscopic findings are woven-like spindle cells with many inflammatory cells. Surgical resection is the primary treatment method，and the prognosis depends on the quality of surgical resection and the tumor size.
    A Case of Spinal Dural Arteriovenous Fistula and Literature Review
    LI Yan，HAO Xintong，ZHANG Shaoying
    2022, 50(4):  70-74.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.009
    Asbtract ( 53 )   PDF (1213KB) ( 65 )  
    Related Articles | Metrics
    Objective To investigate the clinical symptoms， pathogenesis， and imaging characteristics of spinal dural arteriovenous fistula（SDAVF）to improve understanding and reduce the misdiagnosis rate. Methods The diagnosis and treatment process of a patient with a spinal dural arteriovenous fistula was analyzed，and the literature review was combined. Results For the elderly male patient，dysuria was the first symptom，followed by sensory and motor impairment of the lower limbs，and the disease was progressively aggravated. Long T2 signals were seen on spinal cord MRI，and spinal angiography showed a dural arteriovenous fistula at the left T10 segment. Conclusion SDAVF is very rare and has untypical clinical symptoms. Spinal angiography is the gold standard for diagnosis. Surgical treatment should be performed as soon as possible after diagnosis.
    Entity Alignment Relation-aware Neighborhood Matching Model Combining Attribute Information and Dual Attention
    WANG Xiaopeng，LI Dan
    2022, 50(4):  75-86.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.010
    Asbtract ( 60 )   PDF (3156KB) ( 37 )  
    Related Articles | Metrics
    Based on improving the entity alignment relationship-aware neighborhood matching（RNM） model， an entity-aligned relationship-aware neighborhood matching model combining attribute information and dual attention mechanisms was proposed. The dual attention introduced by RDGCN was used to optimize the relational structure learning ability of the original GCN. At the same time， attribute information was added， and relational structure and attribute information were combined with embedding relational aware neighborhood matching. The accuracy of alignment on three real data sets can reach 86. 91%， 87. 67% and 94. 05%， respectively， further improved compared with the benchmark model. Experimental results show that the proposed method can effectively identify the aligned entity pairs.
    Neuron Segmentation Algorithm Based on Improved U-Net Network
    CHENG Weidong，YE Xi，WANG Fang，PING Jingjing，QIAN Tonghui，ZHANG Zhiwei
    2022, 50(4):  87-96.  doi:10.16389/j.cnki.cn42-1737/n.2022.04.011
    Asbtract ( 36 )   PDF (4964KB) ( 60 )  
    Related Articles | Metrics
    A network model combining self-attentive mechanism， superposition loss function，and U-Net network was proposed to achieve accurate segmentation of neuronal images for the current defects of feature ambiguity，high complexity，and lossy edges of electron microscopy neuronal image segmentation. Firstly，the geometric transformation was performed with the original image to enlarge the data set and reduce overfitting. Secondly，the improved self-attention mechanism was used to focus on learning image details to improve the accuracy of model segmentation. Finally，the network performance was improved by appropriately combining Dice Loss with relative entropy （KL scatter）. The network experimented on the ISBI 2012 dataset， and its correctness， F1 index，accuracy，and recall reached 0. 930 43，0. 956 79，0. 953 26，and 0. 960 34，respectively. The image segmentation effect was relatively more accurate in overall and detail segmentation，and the cell membrane segmentation was basically unbroken.