Table of Content

28 February 2023, Volume 51 Issue 1

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Study on Robin Problem Solution for Potential Equation

JIN Qingfei

2023, 51(1):  5-9.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.001

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The potential equation is a typical second-order elliptic equation in the theoretical research of partial differential equations. In this paper，the Robin problem of the potential equation was studied deeply. We proved the uniqueness of its solution in C¹(Ω^-)?C²(Ω)by the divergence theorem. The conditions satisfied by the Green's function G（x，y）and the expression of its solution were derived by Green's function method.

Diversity Analysis of Morphological and Nutritional Characteristics of 97 Dried Pea Seeds

ZHANG Qingling，LIU Xingyu，DONG Na

2023, 51(1):  10-17.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.002

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This paper studied the Riemann problem for the Aw-Rascle traffic flow model with a composite pressure term. First，using the characteristic analysis method，we calculated the eigenvalues，eigenvectors，and corresponding fundamental wave curves of the AwRascle traffic flow model. Then，using the phase plane analysis method，the correspondingRiemann solutions for all cases were given. Finally，we discussed the limiting behavior of the Riemann solution when the pressure disappeared，and studied the formation of the δ-shock wave and vacuum state during the process of pressure disappearance.

Responses of Seed Germination and Seeding Growth Physiology of 3 Pea Variants to Drought Stress

LU Ling，QI Weimin

2023, 51(1):  18-27.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.003

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Aiming at the problem that high-dimensional linear equations are difficult and time-consuming to solve manually，this paper designed a linear equation-solving software based on PyQt5. This software solved linear equations input by users efficiently and in real-time based on Jacobi iteration and Gauss-Seidel iteration，judged the convergence of iterative methods using the power method，and visualized the iterative solution results. The text control was used to display the iterative results of the two iterative methods. The graph control was used to dynamically draw the graph of the error value obtained by the two iterative methods changing with the number of iterations and the graph of each independent variable value changing with the number of iterations. The overall interface design of this software was implemented in Qt Designer，and the partial interface display was dynamically generated by Python code according to user operations. The interface logic function was developed by Python's development tool PyCharm，using Python to write iterative algorithm code，call the PyQt5 library，and operate the interface. This software can intuitively compare the two iterative methods' convergence and quickly obtain the approximate solution value of the linear equation system. It has good real-time performance，a simple and beautiful interface，user-friendly operation，and has certain practical value.

Design and Implementation of an Autonomous Navigation System for Freshwater Shrimp and Crab Farming Operation Platform

LIU Qin，HU Man，ZHU Ying，CHEN Weida，CHEN Chanyou

2023, 51(1):  28-35.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.004

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We obtained one novel garlic lectin gene with designed primers according to the sequence of Allium sativum agglutinin published in NCBI. The Chinese garlic bulb lectin gene，ASA-C，was cloned from RNAs by RT-PCR experiment. The entire length of the ASA-C was 546 bp containing a 471 bp ORF，which encoded 156 amino acids. The bioinformatics analysis of ASA-C was conducted by the website and analysis software. The results showed that the ASA-C was highly homology with the published garlic lectin ASAⅡ. It was speculated that there was a typical trans-membrane，one peptide biomarker，at the N-terminal domain. The sequence analysis showed three conserved motifs（Q-D-N-V-Y） for mannose-binding. The multiple sequence alignment and evolutionary analysis showed that the garlic lectin protein was highly conserved，which laid the fundation for the further development and utilization of the fundation of garlic lectin protein.

Path Planning of Seven Degrees of Freedom Mechanical Arm Based on Improved RRT Algorithm

HE Wangfei，CHENG Xinxin

2023, 51(1):  36-41.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.005

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Using two sweet corn seeds of Guangdong Tian and Huazhen No. 2 as materials，the effects of different stress treatments on the utilization and consumption of stored substances during seedling germination were discussed. The results showed that under three stress treatments，the seedling growth of Guangdong Tian sweet corn seeds was better than that of Huazhen No. 2. Within 10 days of the germination period，the consumption rate of seed storage materials of both cultivars maintained an upward trend. However， the utilization rate of stored substances showed a trend of increasing first and then stabilizing or decreasing. Correlation analysis showed that seedling quality was significantly correlated with the utilization rate of stored substances. By analyzing the effects of different stress treatments on the consumption and utilization rate of storage substances at the germination stage of sweet corn seeds， this paper provides a theoretical basis for improving the germination and seedling growth of sweet corn seeds.

H_∞ Filtering for Uncertain Networked Control Systems with Bernoulli Random Time Delays

ZHANG Lin，CHEN Xiang，WU Yu，YU Min，CAI Hongmei，LIU Binbin，NI Qianqian，LIU Lvzhou，XU Hui，FANG Hao，LI Jincai

2023, 51(1):  42-51.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.006

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Proline（Pro） accumulation is an essential metabolic adaptation mechanism of plants under biological and abiotic stress. Its primary function is to act as an osmotic regulatory substance，maintain the osmotic balance inside and outside the cell，and enhance plant stress resistance. It also plays a vital role in free radical scavenging，reducing cellular acidity，and acting as a metal-chelating agent. This paper mainly reviewed the synthesis and degradation of proline，the research status of crucial enzyme genes，biological function，physiological toxicity，ion homeostasis，mechanism of action，and its performance of stress resistance in plants，etc.，to comprehensively understand the research status of proline and provide a reference for its research on plant stress resistance.

Analysis of Dosing Pattern of Chinese Medicine Fumigation for Vertebral Artery Type Cervical Spondylosis Based on Data Mining Technology

YANG Guang，SHI Lu

2023, 51(1):  52-63.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.007

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Objective To analyze the mechanism and efficacy of traditional Chinese medicine（TCM）compound preparation in treating obesity based on bioinformatics and efficacy study in vitro and provide the basis for the innovative application of commonly used TCM. Methods The active components and targets of TCM compound preparations were obtained by TCMSP. We screened the differential gene chip data by the GEO database to map the volcano. Cytoscape3.8.0 was used to construct the differential gene target map of TCM active ingredients and obesity，create a protein interaction network，and conduct an enrichment analysis of the GO and KEGG pathways. Finally ，MTT and Annexin V-FTIC/PI flow cytometry were used to verify cell survival and apoptotic effect. Results A total of 204 active ingredients were obtained in TCM compound preparation for treating obesity，and the main components were quercetin，kaempferol，luteolin，baicalein，etc. There were 28 obesity-related differential genes，and the PPI topological network of the differential genes was constructed. The GO and KEGG pathway was involved in the pathways related to insulin，hormone，lipid，and glucose metabolism. MTT confirmed that the drug had a significant concentration-time dependence on the preadipocytes of 3T3-L1 mice，and the IC50 value at 72 h was 2. 395 mg/mL. Moreover，it can induce the early apoptosis of preadipocytes. Conclusion This study provides important molecular targets，pathways，and mechanisms of action of TCM compound preparations in treating obesity through pharmacodynamics study in vitro，providing a basis for the clinical application of TCM.

Efficacy Observation and Mechanism Discussion of Mintuole Combined with Fire Acupuncture in Treating Chronic Eczema

WANG Jing，WANG Dan，ZNEG Lingkong，WANG Shi

2023, 51(1):  64-71.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.008

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Objective Three neonates diagnosed with CHARGE syndrome were reported，and their clinical characteristics and gene mutation sites were analyzed. In addition，the characteristics of gene mutations and clinical manifestations in Chinese neonates with CHARGE syndrome reported in the literature were summarized.Methods After the clinical diagnosis of CHARGE syndrome，the peripheral blood samples of the proband and their parents were left，and DNA was extracted. The whole exon capture chip was selected for mutation screening. Then the suspected pathogenic mutation sequence was amplified by PCR，and Sanger sequencing was carried out to verify the pathogenic mutation site. Results According to the diagnostic criteria of CHARGE syndrome，two main and two secondary criteria in all 3 cases met the clinical diagnostic criteria of CHARGE syndrome. The gene analysis results showed that there were CHD7 gene mutations in all 3 cases，including 2 cases of heterozygous mutation of the CHD7 gene and 1 case of heterozygosity loss of the CHD7 gene. Two of the mutant sites had not been reported.Conclusion For the clinical diagnosis of CHARGE syndrome in children， the development of gene detection is conducive to the analysis of the possible genetic pathogenesis of the disease.

Comparison of Biological Screw and Biological Glue Fixed Patch in TAPP

HUANG Xuan，LI Yan，CHEN Qiongxia，CHEN Ying，ZHEN Hongyan

2023, 51(1):  72-78.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.009

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Objective To investigate the clinicopathological characteristics and differential diagnosis of the mixed tumor of soft tissue. Methods The rare case of a palm-soft tissue mixed tumor was examined by routine HE and immunohistochemical staining and followed up. At the same time，the clinicopathological characteristics were analyzed based on the relevant literature review.Results The morphological manifestations of the lesions were complex，with the dense proliferation of epithelioid and myoepithelial cells distributed in nests and sheets and separated by fibrous connective tissue. The proliferation of tumor cells was obvious，arranged in clumps，and the fibrous capsule was pushed. There were scattered heteromorphic tumor cells，hyaline change，and chondromyxoid change. Tumor cells were positive for AE1/AE3，Vim，S-100，CD10，and p63，GFAP was focally positive，Ki-67 value-added index was 3%，and p53 was widely positive in the lesions. The patient was followed up after surgery，and no recurrence or metastasis was found.Conclusion The mixed tumor of soft tissue is a rare interstitial tumor with pathological heterogeneity，which occurs in the palm very rarely. The pathological manifestations are an essential diagnostic basis，and the combined detection of immune indexes S-100 and p63 can assist the diagnosis and differential diagnosis. In the judgment of benign tumors，borderline and malignant tumors，detection of the Ki-67 proliferation index and p53 tumor suppressor gene is critical，and the tendency of tumor cells to push the envelope or biological behavior of invading envelope should be used as risk assessment criteria.

Clinical Analysis of a Case of Systemic Light Chain Amyloidosis with Tongue Damage as the First Manifestation

ZHANG Zhiwei，YE Xi，CHENG Weidong，YANG Zhihong，XIE Zhengyuan

2023, 51(1):  79-88.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.010

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Aiming at the defect that U-Net image segmentation loses too much information in the down-sampling process and the recovery effect is poor in the up-sampling process，which leads to the reduction of image segmentation accuracy，this paper proposes a U-Net image segmentation algorithm based on the multi-level self-attention mechanism. The multi-level self-attention mechanism embedded a self-attention module in front of the upper sampling layer of each layer，which processed the input and scaled the original image of the upper sampling layer into a template image after splicing. Then the upper sampling layer after fusing it with the original input information was output. The U-Net image segmentation algorithm based on the multi-level self-attention mechanism proposed in this paper can not only provide more detailed information through the self-attention module of the original image mosaic but also reduce the impact of background noise caused by the original image mosaic by using the feature selection function of the upper sampling layer and improve the segmentation accuracy of the model. Finally， human body and garment segmentation experiments based on the PASCAL VOC and DeepFashion2 data set were carried out. The experimental results show that the improved method proposed in this paper can improve the image segmentation performance， thus proving the correctness and effectiveness of this method.

Discussion on Present Situation and Patterns of Greening Under Viaducts in Wuhan City

ZHU Shining，HU Xiaobin，PENG Taile

2023, 51(1):  89-96.  doi:10.16389/j.cnki.cn42-1737/n.2023.01.011

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Aiming at the problems of high missed detection rate and low detection accuracy of YOLOv3 in road target detection，this paper proposed a road target detection method based on improved YOLOv3. By increasing the three feature scales of the original YOLOv3 to four，the object accuracy for small targets was improved. Secondly，we used the CIoU loss function to improve the model's accuracy and the K-Means++ clustering algorithm to recluster the road targets to get new candidate boxes. This paper verified the effect of the improved YOLOv3 algorithm on the BDD100K data set. The experimental results showed that the improved YOLOv3 algorithm had achieved good detection results in reducing the missed detection rate and improving the detection accuracy.