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1.
Zhongguo Zhong Yao Za Zhi ; 46(5): 1117-1119, 2021 Mar.
Artigo em Chinês | MEDLINE | ID: mdl-33787104

RESUMO

Based on the investigation of wild medicinal plant resources in Dexing city, Jiangxi province, and the collected plant specimens, which were identified by taxonomy, two new record species of geographical distribution were found, which are Meehania zheminensis A. Takano, Pan Li & G.-H. Xia and Corydalis huangshanensis L.Q.Huang & H.S.Peng. The voucher specimens are kept in Dexing museum of traditional Chinese medicine. In this paper, the new distribution species were reported, which provides valuable information for further enriching and supplementing the species diversity of medicinal plant resources in Jiangxi province.


Assuntos
Corydalis , Lamiaceae , Plantas Medicinais , China , Humanos , Medicina Tradicional Chinesa , Museus
2.
Sci Rep ; 11(1): 7032, 2021 Mar 29.
Artigo em Inglês | MEDLINE | ID: mdl-33782454

RESUMO

Osteoarthritis (OA) is a chronic degenerative disease of the bone and joints. Immune-related genes and immune cell infiltration are important in OA development. We analyzed immune-related genes and immune infiltrates to identify OA diagnostic markers. The datasets GSE51588, GSE55235, GSE55457, GSE82107, and GSE114007 were downloaded from the Gene Expression Omnibus database. First, R software was used to identify differentially expressed genes (DEGs) and differentially expressed immune-related genes (DEIRGs), and functional correlation analysis was conducted. Second, CIBERSORT was used to evaluate infiltration of immune cells in OA tissue. Finally, the least absolute shrinkage and selection operator logistic regression algorithm and support vector machine-recurrent feature elimination algorithm were used to screen and verify diagnostic markers of OA. A total of 711 DEGs and 270 DEIRGs were identified in this study. Functional enrichment analysis showed that the DEGs and DEIRGs are closely related to cellular calcium ion homeostasis, ion channel complexes, chemokine signaling pathways, and JAK-STAT signaling pathways. Differential analysis of immune cell infiltration showed that M1 macrophage infiltration was increased but that mast cell and neutrophil infiltration were decreased in OA samples. The machine learning algorithm cross-identified 15 biomarkers (BTC, PSMD8, TLR3, IL7, APOD, CIITA, IFIH1, CDC42, FGF9, TNFAIP3, CX3CR1, ERAP2, SEMA3D, MPO, and plasma cells). According to pass validation, all 15 biomarkers had high diagnostic efficacy (AUC > 0.7), and the diagnostic efficiency was higher when the 15 biomarkers were fitted into one variable (AUC = 0.758). We developed 15 biomarkers for OA diagnosis. The findings provide a new understanding of the molecular mechanism of OA from the perspective of immunology.

3.
Zhongguo Zhong Yao Za Zhi ; 46(2): 260-266, 2021 Jan.
Artigo em Chinês | MEDLINE | ID: mdl-33645110

RESUMO

Dabie Mountain in Anhui province is a genuine producing area of Poria cocos, commonly known as Anling. Jinzhai county in Anhui province is a traditional producing area of P. cocos, and it is also a key county for poverty alleviation in Dabie Mountains. Poverty alleviation of traditional Chinese medicine producing area is an important measure to implement the major strategic deployment of the central government. The planting of P. cocos is helpful to promote the development of traditional Chinese medicine industry in Dabie Mountains and help poverty alleviation. P. cocos is a saprophytic fungus with special demands on soil and ecological environment, and its planting appears a scattered and irregular distribution. Traditional investigation methods are time-consuming and laborious, and the results are greatly influenced by subjective factors. In order to obtain the suitable planting area of P. cocos in Jinzhai county, according to the field survey, the research team has explored the regional, biological characteristics and cultivation methods of P. cocos in the county, and obtained the altitude distribution area suitable for the growth of P. cocos. Then, the MaxEnt niche model was used to analyze the relationship between ecological factors and distribution areas, and the potential distribution zoning of P. cocos in Jinzhai county was studied. Combined with the characteristics of P. cocos planting pattern, taking ZY-3 remote sensing image as the data source, the maximum likelihood method was used to extract the area that could be used for P. cocos cultivation in Jinzhai county, and the reason why artificial planting P. cocos was mainly distributed in the west of Jinzhai county was analyzed. The suitable regional classification of P. cocos in Jinzhai county was obtained by superposition of suitable altitude distribution area, MaxEnt analysis and area extracted from remote sensing image, which provided data support for the planting planning of P. cocos in Jinzhai county.


Assuntos
Wolfiporia , Altitude , China , Medicina Tradicional Chinesa , Solo
4.
Zhongguo Zhong Yao Za Zhi ; 46(2): 267-271, 2021 Jan.
Artigo em Chinês | MEDLINE | ID: mdl-33645111

RESUMO

Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.


Assuntos
Polygonatum , Medicina Tradicional Chinesa , Reprodutibilidade dos Testes , Projetos de Pesquisa , Máquina de Vetores de Suporte
5.
Zhonghua Nan Ke Xue ; 26(4): 309-315, 2020 Apr.
Artigo em Chinês | MEDLINE | ID: mdl-33351296

RESUMO

Objective: To analyze the epidemiological characteristics of PCa in the Changsha area of Hunan Province and provide some reference for the formulation of the strategies for the prevention and control of the malignancy. METHODS: We collected the data on the age, pathological type and TCM syndrome type of 2 877 PCa patients diagnosed and treated in Xiangya Hospital of Central South University, the First Affiliated Hospital of Hunan University of Chinese Medicine and the Affiliated Hospital of Hunan Research Institute of Chinese Medicine from January 1, 2010 to December 31, 2019. We analyzed the data obtained and the current prevalence and epidemiological trend of PCa. RESULTS: Of the total number of cases of PCa diagnosed and treated, there were 291 in 2010, 315 in 2011, 213 in 2012, 220 in 2013, 159 in 2014, 226 in 2015, 199 in 2016, 180 in 2017, 577 in 2018 and 497 in 2019. The age-related incidence rate was the lowest in the <40-year-olds (1.77%) and the highest in the 65- to 79-year-olds (18.4%). The incidence rate was increased year by year in the 65- to 79-year-olds, elevated to 63.9% in the 10 years, and most significantly in the ≥80-year-olds, soaring to 97.9% in the 10 years. As for the pathological types, prostatic adenocarcinoma (PAC) accounted for 50.1% (n = 1 441), acinar cell PAC 7.0% (n = 201), follicular PAC 1.29% (n = 37), ductal PCa 0.94% (n = 27), non-specific PCa 9.49% (n = 273), and other PACs 5.77% (n = 166). TCM syndrome differentiation was performed for 157 cases, which revealed kidney-yin deficiency in 40 cases (25.5%) and kidney-yang deficiency in 69 cases (43.9%). CONCLUSIONS: The incidence of PCa from 2010 to 2019 showed an aging-related trend in the Changsha area of Hunan Province, the highest among 65- to 69-year-olds. Males aged 65-79 years are a high-risk population for PCa, which calls for strengthened health education, early diagnosis and early treatment.


Assuntos
Neoplasias da Próstata , Deficiência da Energia Yang , Deficiência da Energia Yin , Adulto , Idoso , China/epidemiologia , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Neoplasias da Próstata/epidemiologia , Fatores de Risco
6.
Asian J Androl ; 2020 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-33208565

RESUMO

This study aimed to assess the association between psychological disorders and erectile dysfunction (ED) in patients with different degrees of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). This was a retrospective study conducted from June 2017 to October 2019 and included 182 outpatients. Patients were interviewed using the Structured Interview on Erectile Dysfunction (SIEDY) for pathogenic quantification. The National Institutes of Health-Chronic Prostatitis Symptom Index (NIH-CPSI) and the International Index of Erectile Function-5 (IIEF-5) were used for the evaluation of CP/CPPS and ED. The Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were used to assess anxiety symptoms and depressive symptoms. The number of patients with mild CP/CPPS and mild ED, mild CP/CPPS and moderate-to-severe ED, moderate-to-severe CP/CPPS and mild ED, and moderate-to-severe CP/CPPS and moderate-to-severe ED was 69 (37.9%), 36 (19.8%), 35 (19.2%), and 42 (23.1%), respectively. The corresponding PHQ-9 scores of the four groups were 6.22, 7.19, 10.69, and 7.71, respectively. The corresponding GAD-7 scores of the four groups were 5.26, 6.31, 8.77, and 6.36, respectively. Among patients with moderate-to-severe CP/CPPS, the PHQ-9 and GAD-7 scores of the moderate-to-severe ED group were significantly lower than those of the mild ED group (P = 0.007 and P = 0.010, respectively). The prevalence of ED and premature ejaculation (PE) in patients with moderate-to-severe CP/CPPS was significantly higher than that in patients with mild CP/CPPS (P = 0.001 and P = 0.024, respectively). Our findings proved that the severity of ED was negatively associated with psychological symptoms in outpatients with moderate-to-severe CP/CPPS.

8.
Math Biosci Eng ; 17(4): 3395-3411, 2020 04 30.
Artigo em Inglês | MEDLINE | ID: mdl-32987535

RESUMO

In recent years, there are many research cases for the diagnosis of Parkinson's disease (PD) with the brain magnetic resonance imaging (MRI) by utilizing the traditional unsupervised machine learning methods and the supervised deep learning models. However, unsupervised learning methods are not good at extracting accurate features among MRIs and it is difficult to collect enough data in the field of PD to satisfy the need of training deep learning models. Moreover, most of the existing studies are based on single-view MRI data, of which data characteristics are not sufficient enough. In this paper, therefore, in order to tackle the drawbacks mentioned above, we propose a novel semi-supervised learning framework called Semi-supervised Multi-view learning Clustering architecture technology (SMC). The model firstly introduces the sliding window method to grasp different features, and then uses the dimensionality reduction algorithms of Linear Discriminant Analysis (LDA) to process the data with different features. Finally, the traditional single-view clustering and multi-view clustering methods are employed on multiple feature views to obtain the results. Experiments show that our proposed method is superior to the state-of-art unsupervised learning models on the clustering effect. As a result, it may be noted that, our work could contribute to improving the effectiveness of identifying PD by previous labeled and subsequent unlabeled medical MRI data in the realistic medical environment.

9.
Zhongguo Zhong Yao Za Zhi ; 45(15): 3642-3650, 2020 Aug.
Artigo em Chinês | MEDLINE | ID: mdl-32893553

RESUMO

This article is based on basic data such as field surveys and literature surveys, contrasting and analyzing the distribution of Callicarpa nudiflora by different zoning methods, different data sources, and different spatial scales. The results showed that there were certain differences in the distribution results obtained by using different methods, such as qualitative description, similar ecological environment, and niche model, to divide the distribution of the C. nudiflora, but all of them could reflect the distribution of C. nudiflora to different degrees. Among them, the qualitative description division method has certain advantages in macro guidance in a large scale. The distribution range obtained by the ecological environment similar division method is wider than that obtained by applying the qualitative description method and the niche model method. The results of the zoning of the distribution of the C. nudiflora obtained from different data sources were different. The number and representativeness of the survey data have an impact on the zoning results. Through the analysis of the distribution of different spatial scales, the ecological factors and contribution rates that affect the distribution of C. nudiflora are different in China and in the world. The comprehensive multi-source data analysis showed that C. nudiflora mainly distributed in southern coastal provinces such as Hainan, Guangdong, Guangxi and Fujian in China, and also in Jiangxi, Guizhou, Yunnan, Sichuan, Chongqing, Hunan, Gansu, Taiwan and other provinces. Globally, C. nudiflora are suitable for distribution in Southeast Asia, such as China, Vietnam, Laos, Myanmar, India, etc. There are also potential distribution areas in the southern United States and Mexico.


Assuntos
Callicarpa , China , Coleta de Dados , Armazenamento e Recuperação da Informação , Vietnã
10.
Zhongguo Zhong Yao Za Zhi ; 45(13): 3073-3078, 2020 Jul.
Artigo em Chinês | MEDLINE | ID: mdl-32726013

RESUMO

Using the 260 geographical distribution records of Polygonatum cyrtonema in China, combined with 53 environmental factors, the maximum entropy modeling(MaxEnt) was used to study the ecological factors affecting the suitability distribution of P. cyrtonema. The ArcGIS software was used to predict the potential distribution of the population of P. cyrtonema. The dominant factors were chosen by using the Jackknife test and the Receiver Operating Characteristic(ROC) curve was used to evaluate the simulation. The results showed that high value of area under curve(AUC) denoted good results, which significantly differed from random predictions. Based on the evaluation criterion, the accuracies of the predictions of P. cyrtonema potential distribution in the current periods were excellent. The main environmental factors affecting the suitable growth of P. cyrtonema were the monthly precipitation, the wettest monthly precipitation, the annual average temperature range and the precipitation of November, March, February, April, May and October. There are 9 environmental factors in soil type. The potential fitness of P. cyrtonema in China is high, mainly concentra-ted in Hunan, western Hubei, Guangdong, northeastern Guangxi, southeastern Guizhou, Jiangxi, southwestern Anhui, Fujian, Zhejiang, Shaanxi, southwestern Henan and Chongqing. The growth distribution of the potential distribution area of P. cyrtonema was divided, and the zoning map of the growth suitability of P. cyrtonema was formed. Through the comparative analysis of the potential distribution range based on MaxEnt and the distribution range of literature records, the understanding of the distribution range of P. cyrtonema was expanded.


Assuntos
Polygonatum , China , Ecologia , Entropia , Projetos de Pesquisa , Solo
11.
Zhongguo Zhong Yao Za Zhi ; 45(12): 2982-2991, 2020 Jun.
Artigo em Chinês | MEDLINE | ID: mdl-32627476

RESUMO

Dao-di herbs are an important part of clinical medicine in traditional Chinese medicine. They are also precious wealth left to human beings from history, which contain deep traditional Chinese cultural connotations and play an important role in supporting and serving the Chinese medicine business. The relevant policy documents introduced by various national ministries and commissions have many contents and requirements related to the promotion of Dao-di herbs protection and industrial development. Due to the Dao-di herbs industry has a series of characteristics, such as a long chain, many involved links, long cycles, multiple production entities, multiple locations, and various types, the high-quality development of the industry has put forward higher requirements on the linkage between upstream and downstream, production entities, traceability of the whole process and information sharing. This article takes Dao-di herbs certification work as an application scenario and entry point, and discusses it from the perspective of block chain and information technology. It proposes the following work ideas: establish multi-party consensus from the macro-organizational management, business, and operational technical levels, and unblock channels for data and information, to achieve institutionalization of certification; establish certification-related standards and specifications to achieve certification standardization; build a certification hardware system to achieve certification networking; build a certification software system to develop functions for specific information content such as identity, origin, production, production process, quality, product and brand of authentic medicinal material production interactively, and realize certification programmatic; data security and sharing of related production activities to achieve socialization of certification. Make full use of modern technologies such as blockchain, the internet of things, big data and information technology, and through the joint participation of management, production, use and the public, the whole process information of Daodi herbs is integrated to form an interconnected information sharing application mode, thus, to serve and promote the high-quality development of Dao-di herbs industry.


Assuntos
Medicamentos de Ervas Chinesas , Plantas Medicinais , Blockchain , Humanos , Medicina Tradicional Chinesa , Tecnologia
13.
World J Pediatr ; 16(4): 326-332, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32588213

RESUMO

During the COVID-19 epidemic, it is important for ensuring infection prevention and control in the pediatric respiratory clinics. Herein, we introduced the practice of infection prevention and control in pediatric respiratory clinics in China. Triage measures for patients who visit respiratory clinics, quality control for pediatric respiratory clinics and other preventive measures for related examinations and treatment have been introduced in this review article.


Assuntos
Assistência Ambulatorial/organização & administração , Controle de Doenças Transmissíveis/organização & administração , Infecções por Coronavirus/prevenção & controle , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Guias de Prática Clínica como Assunto , Doenças Respiratórias/terapia , Adolescente , Instituições de Assistência Ambulatorial/organização & administração , Criança , Pré-Escolar , China/epidemiologia , Infecções por Coronavirus/epidemiologia , Feminino , Humanos , Controle de Infecções/organização & administração , Masculino , Pandemias/estatística & dados numéricos , Pneumonia Viral/epidemiologia , Doenças Respiratórias/diagnóstico , Doenças Respiratórias/epidemiologia
15.
Exp Mol Pathol ; 115: 104450, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32417393

RESUMO

Nephrolithiasis is one of the most common and highly recurrent diseases worldwide. Accumulating evidence revealed the elevated miR-155 levels both in serum and urine of nephrolithiasis patients. The aim of our research was to explore the role of miR-155 in CaOx-induced apoptosis in HK-2 cells. The expression levels of miR-155 in serum and renal tissues were quantified in 20 patients with nephrolithiasis using qRT-PCR assay. ELISA was performed to determine urinary levels of interleukin (IL)-1ß, IL-6 and tumor necrosis factor-alpha (TNF-α). Renal tubular cell model of CaOx nephrolithiasis was established to investigate the role and molelular mechanism of miR-155. Cell viability and apoptosis were assessed by MTT and flow cytometry, respectively. Immunofluoresent staining of LC3 autophagosome and western blotting were performed to evaluate the autophagic activity. Luciferase reporter assay was employed to verify the interaction between miR-155 and PI3KCA/Rheb. PI3K/Akt/mTOR signaling was further examined by western blotting. Serum and renal levels of miR-155 and inflammatory factors were significantly elevated in nephrolithiasis patients than in controls. CaOx treatment caused up-regulation of miR-155 and induced autophagy in renal tubular epithelial cells, while silencing miR-155 or inhibition of autophagy by 3-metheladenine (3-MA) ameliorated CaOx crystal-induced cell injury. PI3KCA and Rheb was identified as downstream targets of miR-155. Moreover, miR-155 activates autophagy and promotes cell injury through repressing PI3K/Akt/mTOR signaling pathway. Taken together, these findings demonstrated that miR-155 facilitates CaOx crystal-induced renal tubular epithelial cell injury via PI3K/Akt/mTOR-mediated autophagy, providing therapeutic targets for ameliorating cellular damage by CaOx crystals.


Assuntos
Autofagia/efeitos dos fármacos , Oxalato de Cálcio/toxicidade , MicroRNAs/metabolismo , Fosfatidilinositol 3-Quinases/metabolismo , Sequência de Bases , Estudos de Casos e Controles , Linhagem Celular , Cristalização , Feminino , Inativação Gênica/efeitos dos fármacos , Humanos , Mediadores da Inflamação/sangue , Rim/patologia , Masculino , MicroRNAs/sangue , MicroRNAs/genética , Pessoa de Meia-Idade , Nefrolitíase/sangue , Nefrolitíase/genética , Proteínas Proto-Oncogênicas c-akt/metabolismo , Proteína Enriquecida em Homólogo de Ras do Encéfalo/metabolismo , Transdução de Sinais , Serina-Treonina Quinases TOR/metabolismo , Regulação para Cima/efeitos dos fármacos
16.
Ital J Pediatr ; 46(1): 38, 2020 Mar 30.
Artigo em Inglês | MEDLINE | ID: mdl-32228653

RESUMO

BACKGROUND: Chronic cough is a common symptom in children and protracted bacterial bronchitis (PBB) is one of the causes of chronic cough. However, the understanding of this disease remains limited. The present study aims to update PBB in children. METHODS: The clinical data of children with PBB from 2014 to 2018 were retrospectively analyzed, and PBB clinical features of published studies were summarized. Electronic databases were searched in May 2019. Clinical studies were included in the present study. Reviews were undertaken in duplicate. RESULTS: Totally 712 cases were analyzed in this study, including 52 cases in our center and 660 cases from 14 studies. In the 52 cases, 88.5% of patients with PBB were less than 6 years old and all of them complained of wet cough. Three cases were confirmed with laryngomalacia, and microbiologically-based-PBB were identified in 13 cases (9 Streptococcus pneumonia, 3 Staphylococcus aureus, and 1 Pseudomonas aeruginosa). Twenty cases were completely remitted after treatment. In the 14 studies, the patients with PBB were typically younger than 3 years old, accompanying wheezing and airway malacia. Co-infection was common in most western cases, Streptococcus pneumonia, Haemophilus influenza and Moraxella catarrhalis were the top three pathogens. Symptoms were improved in most patients, whereas some cases with comorbidities required prolonged antibiotics treatment. CONCLUSIONS: PBB is common in male infants with chronic wet cough and accompanied by wheezing and airway deformities. Most cases are clinically diagnosed PBB in China and microbiologically-based-PBB is common in western countries. Co-infection could be found, Streptococcus pneumoniae and Haemophilus influenza were the most frequent etiology in China and western countries, respectively. Patients with comorbidities may need extended antibiotics treatment for more than 2 weeks.

18.
Int J Ophthalmol ; 13(1): 49-53, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31956569

RESUMO

AIM: To compare the short-term visual outcomes, residual refractive cylinder, and rotation stability after Tecnis toric intraocular lens (IOL) implantation during femtosecond laser-assisted cataract surgery (Femto phaco) and conventional phacoemulsification surgery (Conventional phaco). METHODS: In a prospective cohort study, Conventional phaco and Femto phaco (anterior capsulotomy and lens fragmentation by a femtosecond laser) with Tecnis toric IOL implantation were performed in 40 eyes from 36 patients and 37 eyes from 33 patients, respectively. The uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), and manifest refraction were assessed during 1d, 1wk, and 1mo follow-ups. The orientation of the Tecnis Toric IOL was evaluated during 1wk and 1mo follow-ups. RESULTS: There were no significant differences in UDCA or CDVA between two groups at 1mo postoperatively, though relatively more subjects had UDVA values of 20/25 or better in Femto phaco group than in the Conventional group (P>0.05). A lower but not significantly lower rate of having more than 5° of IOL rotation was observed in Femto phaco group at the 1-month follow-up, while a significant lower rate of residual astigmatism of ≤1 D was observed in Femto phaco group. CONCLUSION: The Femto phaco group has significantly more subjects with the residual astigmatism of ≤1 D, but there are no significant differences in rotation stability and visual outcomes as compared with the Conventional phaco group after the application of the Tecnis toric IOL in this cohort.

19.
Zhongguo Zhong Yao Za Zhi ; 45(23): 5658-5662, 2020 Dec.
Artigo em Chinês | MEDLINE | ID: mdl-33496104

RESUMO

Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L. japonica information that is relatively fragmented in the image, and realize the fine classification of L. japonica. After training and optimization, the overall classification accuracy of L. japonica can reach 97.5%, and total area accuracy is 94.6%, which can provide a reference for the application of deep convolutional neural network method in remote sensing classification of Chinese medicinal materials.


Assuntos
Lonicera , Redes Neurais de Computação , Tecnologia de Sensoriamento Remoto
20.
Zhongguo Zhong Yao Za Zhi ; 45(24): 5951-5957, 2020 Dec.
Artigo em Chinês | MEDLINE | ID: mdl-33496134

RESUMO

Based on the results of the fourth national survey of traditional Chinese medicine resources in Turpan city, Xinjiang, this study counted the types of traditional Chinese medicine resources in Turpan Basin. The spatial distribution differences of traditional Chinese medicine resources in Turpan Basin of Xinjiang were analyzed by using grid technology, trend surface analysis, global spatial autocorrelation analysis, and local spatial autocorrelation analysis, so as to clarify the overall change trend and aggregation degree of traditional Chinese medicine resources in Turpan Basin in horizontal and vertical directions. The results showed the following: in the horizontal direction, the species richness of traditional Chinese medicine resources in the central part of Turpan Basin was high, and there were great differences in the species richness of traditional Chinese medicine resources in Turpan Basin under different grid sizes. The spatial scale effect of the richness of traditional Chinese medicine resources in Turpan Basin is obvious. Among them, under the 30 km×30 km scale, the richness of the types of Chinese medicine resources shows a high spatial correlation, and the richness of the types of Chinese medicine resources at 5 km×5 km scale presents a near random distribution state, and the richness of the types of Chinese medicine resources at 80, 90, and 100 km scale sits negatively related. Vertical direction, Chinese medicine resources appear rich at the range of-154-150 m and 900-1 050 m following by range of 1 050-1 200 m.


Assuntos
Medicina Tradicional Chinesa , Tecnologia , China , Análise Espacial
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