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Distribution Patterns and Associations of Dominant Tree Species in a Mixed Coniferous-Broadleaf Forest in the Changbai Mountains 被引量:11
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作者 ZHANG Meng-tao KANG Xin-gang +1 位作者 MENG Jing-hui ZHANG Li-xin 《Journal of Mountain Science》 SCIE CSCD 2015年第3期659-670,共12页
In 2012 a plot was established with 1-ha area in a mixed coniferous-broadleaf forest in the Changbai Mountains, northeastern China for examining local forest processes, structure and succession. A method of O-ring sta... In 2012 a plot was established with 1-ha area in a mixed coniferous-broadleaf forest in the Changbai Mountains, northeastern China for examining local forest processes, structure and succession. A method of O-ring statistics (pair- correlation function) was applied to analyze the spatial patterns and associations of the dominant species within different vertical layers. After the evaluation by their importance values, six tree species (or group) (i.e. Abies nephrolepis, Picea jezoensis, Pinus koraiensis, Tilia amurensis, and species group of Betula ssp. and species group of Acer ssp.) were determined as dominant trees species. It was found that some of these species exhibited closely clustered distributions at fine distances. As spatial distance increased, a random or even regular distribution gradually appeared with the exception of the upper layers of A. nephrolepis and P. koraiensis, and the lower layers of P. jezoensis, P. koraiensis and Betula ssp., which were substantially randomly distributed. Intra- and inter-species spatial associations varied in accordance with species, tree height and reciprocal distances. Positive associations were observed between the lower and upper height classes of trees of the same species (except for that of P. jezoensis) at fine distances. This may be owing to limited seed dispersal and geological heterogeneity. The aggregation intensity declines with increasing distances and this consistent with the predictions of self-thinning. Some coniferous trees (e.g. Pinus koraiensis) in the lower height class were positively associated with T. amurensis and group of Betula ssp. of the upper height class at some distances, suggesting that saplings of coniferous trees occupy a broader niche and can grow well under the canopy of the adult of broad-leaved trees. Negative associations were observed between upper coniferous trees and lower broad-leaved trees and between upper P. jezoensis and lower P. koraiensis, suggesting that a canopy of these trees might not provide suitable environment for the survival, establishment, and growth of o lower individuals, corresponding well to Janzen-Connell hypothesis. 展开更多
关键词 Mixed coniferous-broadleaf forest O-ring statistics Spatial pattern Spatial association Null model
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An Association Pattern of Constituent Factors of the Elder Care Community in China 被引量:2
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作者 WANG Jiang ZHAO Qian 《Journal of Landscape Research》 2017年第5期1-3,10,共4页
With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish ... With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish the elder care community becomes a problem that demanding prompt solution in China.This paper,starting from the most basic constituent factors of the elder care community,namely the concept,the configuration and the service,analyzes 6 types of the concept,redefines the type of the building configuration of the elder care community,and explains the types and levels of the service,which aims to guide the elder care community to deal with the relationship between the 3 factors with a view to providing a reference for the architectural design and standard preparation in the elder care community. 展开更多
关键词 Elder care community Constituent factors association pattern
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Spatial pattern analysis and associations of different growth stages of populations of Abies georgei var.smithii in Southeast Tibet,China 被引量:3
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作者 SHEN Zhi-qiang LU Jie +1 位作者 HUA Min FANG Jiang-ping 《Journal of Mountain Science》 SCIE CSCD 2016年第12期2170-2181,共12页
Abies georgei var.smithii is an important plant species in Southeast Tibet,China.It has high ecological value in terms of biodiversity protection,as well as soil and water conservation.We analyzed the spatial pattern ... Abies georgei var.smithii is an important plant species in Southeast Tibet,China.It has high ecological value in terms of biodiversity protection,as well as soil and water conservation.We analyzed the spatial pattern and associations of A.georgei var.smithii populations at different growth stages by using Ripley's L function for point pattern analysis.The diameter structure was a nearly reverse 'J' shape.The amount of saplings and medium-sized trees accounts for a large part of the entire population,suggesting a high regeneration rate and an expanding population.In the transition from saplings to medium trees or to large trees,saplings show a significant aggregation distribution at small scales,while medium trees and large trees show a random distribution.There are significant inverse associations between saplings and medium trees and large trees at small scales,while there are no obvious associations between medium trees and large trees.The natural regeneration was affected by interspecific competition,and it was also affected by intraspecific competition.The joint effects of biological characteristics and environmental factors contribute to the spatial distribution pattern and associations of this A.georgei var.sm ithii population. 展开更多
关键词 Southeastern Tibet Abies georgei var.smithii Point pattern analysis Distribution pattern Spatial association
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Quantum Algorithm for Mining Frequent Patterns for Association Rule Mining 被引量:1
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作者 Abdirahman Alasow Marek Perkowski 《Journal of Quantum Information Science》 CAS 2023年第1期1-23,共23页
Maximum frequent pattern generation from a large database of transactions and items for association rule mining is an important research topic in data mining. Association rule mining aims to discover interesting corre... Maximum frequent pattern generation from a large database of transactions and items for association rule mining is an important research topic in data mining. Association rule mining aims to discover interesting correlations, frequent patterns, associations, or causal structures between items hidden in a large database. By exploiting quantum computing, we propose an efficient quantum search algorithm design to discover the maximum frequent patterns. We modified Grover’s search algorithm so that a subspace of arbitrary symmetric states is used instead of the whole search space. We presented a novel quantum oracle design that employs a quantum counter to count the maximum frequent items and a quantum comparator to check with a minimum support threshold. The proposed derived algorithm increases the rate of the correct solutions since the search is only in a subspace. Furthermore, our algorithm significantly scales and optimizes the required number of qubits in design, which directly reflected positively on the performance. Our proposed design can accommodate more transactions and items and still have a good performance with a small number of qubits. 展开更多
关键词 Data Mining association Rule Mining Frequent pattern Apriori Algorithm Quantum Counter Quantum Comparator Grover’s Search Algorithm
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Mechanistic associations between dietary patterns and colorectal cancer 被引量:4
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作者 Jing-Xiang Han Cheng-Fei Liu +5 位作者 Shao-Qiang Xu Ying-LeiCao Yan-Li Wang Tian Yao Fu-Bin Qiu He Huang 《Journal of Nutritional Oncology》 2023年第2期79-84,共6页
Colorectal cancer(CRC)is a common cancer with high morbidity and mortality rates.Its occurrence and development are determined by many factors,including genetics,the environment,lifestyle,and so on.The occurrence of C... Colorectal cancer(CRC)is a common cancer with high morbidity and mortality rates.Its occurrence and development are determined by many factors,including genetics,the environment,lifestyle,and so on.The occurrence of CRC is often accompanied by changes in the intestinal microenvironment.Numerous studies have focused on the association between dietary patterns,dietary components,and CRC now.This article reviews five different dietary patterns:the Western diet,the Mediterranean diet,the ketogenic diet,the Dietary Approaches to Stop Hypertension diet,and fasting,and themechanistic associations between their food components and CRC.The finding can provide a reference for further studies on the association between different dietary patterns and CRC and will help clinicians formulate reasonable and feasible dietary interventions. 展开更多
关键词 Colorectal cancer Dietary patterns Gut microbiota Mechanistic associations
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Exploration of the Impact of Language Proficiency on Vocabulary Association Patterns in English Language Education
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作者 Yuxin Jin 《Journal of Contemporary Educational Research》 2024年第11期76-81,共6页
This paper explores the lexical association patterns of English as a second language and their relationship with language proficiency.Through the vocabulary association test,the study analyzes the differences in vocab... This paper explores the lexical association patterns of English as a second language and their relationship with language proficiency.Through the vocabulary association test,the study analyzes the differences in vocabulary association between learners with different language levels.The participants were 100 non-native English-speaking un-dergraduate students from a top 200 university,such as the University of Nottingham,and a university outside the top 200,such as the University of Aberdeen;the two groups of learners differed in their vocabulary size and learning style.It was found that the two groups of learners differed significantly in vocabulary size,language background,and learning experience.In addition,the study raises three core questions:first,learners’lexical association patterns,second,dif-ferences in association among learners with different language proficiency levels,and third,other variables that affect vocabulary association ability.The limitations of the study are that reaction time was not measured and the influence of native language background on word association was not fully considered;future research should further explore these aspects. 展开更多
关键词 Lexical association patterns Vocabulary association Learning style Language proficiency Second language learners
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Mining Time Pattern Association Rules in Temporal Database
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作者 Nguyen Dinh Thuan 《通讯和计算机(中英文版)》 2010年第3期50-56,共7页
关键词 挖掘关联规则 时间模式 时态数据库 大型数据库 时间间隔 优化技术 验算法
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Fast FP-Growth for association rule mining 被引量:1
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作者 杨明 杨萍 +1 位作者 吉根林 孙志挥 《Journal of Southeast University(English Edition)》 EI CAS 2003年第4期320-323,共4页
In this paper, we propose an efficient algorithm, called FFP-Growth (shortfor fast FP-Growth) , to mine frequent itemsets. Similar to FP-Growth, FFP-Growth searches theFP-tree in the bottom-up order, but need not cons... In this paper, we propose an efficient algorithm, called FFP-Growth (shortfor fast FP-Growth) , to mine frequent itemsets. Similar to FP-Growth, FFP-Growth searches theFP-tree in the bottom-up order, but need not construct conditional pattern bases and sub-FP-trees,thus, saving a substantial amount of time and space, and the FP-tree created by it is much smallerthan that created by TD-FP-Growth, hence improving efficiency. At the same time, FFP-Growth can beeasily extended for reducing the search space as TD-FP-Growth (M) and TD-FP-Growth (C). Experimentalresults show that the algorithm of this paper is effective and efficient. 展开更多
关键词 data mining frequent itemsets association rules frequent pattern tree(FP-tree)
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Dietary Patterns Associated Metabolic Syndrome in Chinese Adults 被引量:2
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作者 HE Deng Hua YANG Min +9 位作者 ZHANG Rong Hua MA Xiao Guang HUANG Li Chun HUANG En Shan GU Wei ZHU Yi Bo ZHAO Dong ZHU Xu Hui DING Gang Qiang ZHOU Biao 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2015年第5期370-373,共4页
Dietary pattern has been revealed to be associated with metabolic syndrome. However, the association was not well documented in Chinese due to the complexity of Chinese foods. We mainly assessed the dietary patterns a... Dietary pattern has been revealed to be associated with metabolic syndrome. However, the association was not well documented in Chinese due to the complexity of Chinese foods. We mainly assessed the dietary patterns and examined their effects on metabolic syndrome among Chinese adults. Four dietary patterns including 'Refined Grains & Vegetables" Pattern, 'Dairy & Eggs' Pattern, 'Organ Meat & Poultry' Pattern, and 'Coarse Grains & Beans' Pattern were extracted. 'Dairy & Eggs' Pattern was associated with a decreased odds of metabolic syndrome in women, and 'Coarse Grains & Beans' Pattern was associated with a decreased odds of hypertension in men. These results provided a scientific basis for future research and dietarv euideline Perfection. 展开更多
关键词 Dietary patterns associated Metabolic Syndrome in Chinese Adults FBG HDL
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Honokiol-enhanced cytotoxic T lymphocyte activity against cholangiocarcinoma cells mediated by dendritic cells pulsed with damage-associated molecular patterns 被引量:7
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作者 Arunya Jiraviriyakul Worawat Songjang +3 位作者 Pongsathorn Kaewthet Phachsita Tanawatkitichai Punyapat Bayan Sutatip Pongcharoen 《World Journal of Gastroenterology》 SCIE CAS 2019年第29期3941-3955,共15页
BACKGROUND Cholangiocarcinoma or biliary tract cancer has a high mortality rate resulting from late presentation and ineffective treatment strategy. Since immunotherapy by dendritic cells (DC) may be beneficial for ch... BACKGROUND Cholangiocarcinoma or biliary tract cancer has a high mortality rate resulting from late presentation and ineffective treatment strategy. Since immunotherapy by dendritic cells (DC) may be beneficial for cholangiocarcinoma treatment but their efficacy against cholangiocarcinoma was low. We suggest how such antitumor activity can be increased using cell lysates derived from an honokioltreated cholangiocarcinoma cell line (KKU-213L5). AIM To increase antitumour activity of DCs pulsed with cell lysates derived from honokiol-treated cholangiocarcinoma cell line (KKU-213L5). METHODS The effect of honokiol, a phenolic compound isolated from Magnolia officinalis, on choangiocarcinoma cells was investigated in terms of the cytotoxicity and the expression of damage-associated molecular patterns (DAMPs). DCs were loaded with tumour cell lysates derived from honokiol-treated cholangiocarcinoma cells their efficacy including induction of T lymphocyte proliferation, proinflammatory cytokine production and cytotoxicity effect on target cholangiocarcinoma cells were evaluated. RESULTS Honokiol can effectively activate cholangiocarcinoma apoptosis and increase the release of damage-associated molecular patterns. DCs loaded with cell lysates derived from honokiol-treated tumour cells enhanced priming and stimulated T lymphocyte proliferation and type I cytokine production. T lymphocytes stimulated with DCs pulsed with cell lysates of honokiol-treated tumour cells significantly increased specific killing of human cholangiocarcinoma cells compared to those associated with DCs pulsed with cell lysates of untreated cholangiocarcinoma cells. CONCLUSION The present findings suggested that honokiol was able to enhance the immunogenicity of cholangiocarcinoma cells associated with increased effectiveness of DC-based vaccine formulation. Treatment of tumour cells with honokiol offers a promising approach as an ex vivo DC-based anticancer vaccine. 展开更多
关键词 CHOLANGIOCARCINOMA Dendritic cells HONOKIOL Damage-associated MOLECULAR patternS Tumor cell lysates
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AN INCREMENTAL UPDATING ALGORITHM FOR MINING ASSOCIATION RULES
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作者 Xu Baowen Yi Tong Wu Fangjun Chen Zhenqiang(Department of Computer Science & Engineering, Southeast University, Nanjing 210096) (National Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072) 《Journal of Electronics(China)》 2002年第4期403-407,共5页
In this letter, on the basis of Frequent Pattern(FP) tree, the support function to update FP-tree is introduced, then an Incremental FP (IFP) algorithm for mining association rules is proposed. IFP algorithm considers... In this letter, on the basis of Frequent Pattern(FP) tree, the support function to update FP-tree is introduced, then an Incremental FP (IFP) algorithm for mining association rules is proposed. IFP algorithm considers not only adding new data into the database but also reducing old data from the database. Furthermore, it can predigest five cases to three cases.The algorithm proposed in this letter can avoid generating lots of candidate items, and it is high efficient. 展开更多
关键词 Data mining association rules Support function Frequent pattern tree
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Potential of damage associated molecular patterns in synergising radiation and the immune response in oesophageal cancer
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作者 Noel E Donlon Maria Davern +13 位作者 Andrew Sheppard Fiona O'Connell Brendan Moran Timothy S Nugent Aisling Heeran James J Phelan Anshul Bhardwaj Christine Butler Narayanasamy Ravi Claire L Donohoe Niamh Lynam-Lennon Stephen Maher John V Reynolds Joanne Lysaght 《World Journal of Gastrointestinal Oncology》 SCIE 2023年第8期1349-1365,共17页
BACKGROUND There is an intimate crosstalk between cancer formation,dissemination,treatment response and the host immune system,with inducing tumour cell death the ultimate therapeutic goal for most anti-cancer treatme... BACKGROUND There is an intimate crosstalk between cancer formation,dissemination,treatment response and the host immune system,with inducing tumour cell death the ultimate therapeutic goal for most anti-cancer treatments.However,inducing a purposeful synergistic response between conventional therapies and the immune system remains evasive.The release of damage associated molecular patterns(DAMPs)is indicative of immunogenic cell death and propagation of established immune responses.However,there is a gap in the literature regarding the importance of DAMP expression in oesophageal adenocarcinoma(OAC)or by immune cells themselves.AIM To investigate the effects of conventional therapies on DAMP expression and to determine whether OAC is an immunogenic cancer.METHODS We investigated the levels of immunogenic cell death-associated DAMPs,calreticulin(CRT)and HMGB1 using an OAC isogenic model of radioresistance.DAMP expression was also assessed directly using ex vivo cancer patient T cells(n=10)and within tumour biopsies(n=9)both pre and post-treatment with clinically relevant chemo(radio)therapeutics.RESULTS Hypoxia in combination with nutrient deprivation significantly reduces DAMP expression by OAC cells in vitro.Significantly increased frequencies of T cell DAMP expression in OAC patients were observed following chemo-(radio)therapy,which was significantly higher in tumour tissue compared with peripheral blood.Patients with high expression of HMGB1 had a significantly better tumour regression grade(TRG 1-2)compared to low expressors.CONCLUSION In conclusion,OAC expresses an immunogenic phenotype with two distinct subgroups of high and low DAMP expressors,which correlated with tumour regression grade and lymphatic invasion.It also identifies DAMPs namely CRT and HMGB1 as potential promising biomarkers in predicting good pathological responses to conventional chemo(radio)therapies currently used in the multimodal management of locally advanced disease. 展开更多
关键词 Damage associated molecular patterns HMGB1 CALRETICULIN Oesophageal adenocarcinoma T cells RADIATION
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Adaptive associative classification with emerging frequent patterns
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作者 Wang Xiaofeng Zhang Dapeng Shi Zhongzhi 《High Technology Letters》 EI CAS 2012年第1期38-44,共7页
In this paper, we propose an enhanced associative classification method by integrating the dynamic property in the process of associative classification. In the proposed method, we employ a support vector machine(SVM... In this paper, we propose an enhanced associative classification method by integrating the dynamic property in the process of associative classification. In the proposed method, we employ a support vector machine(SVM) based method to refine the discovered emerging ~equent patterns for classification rule extension for class label prediction. The empirical study shows that our method can be used to classify increasing resources efficiently and effectively. 展开更多
关键词 associative classification RULE frequent pattern mining emerging frequent pattern supportvector machine (SVM)
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Document Clustering Using Graph Based Fuzzy Association Rule Generation
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作者 P.Perumal 《Computer Systems Science & Engineering》 SCIE EI 2022年第10期203-218,共16页
With the wider growth of web-based documents,the necessity of automatic document clustering and text summarization is increased.Here,document summarization that is extracting the essential task with appropriate inform... With the wider growth of web-based documents,the necessity of automatic document clustering and text summarization is increased.Here,document summarization that is extracting the essential task with appropriate information,removal of unnecessary data and providing the data in a cohesive and coherent manner is determined to be a most confronting task.In this research,a novel intelligent model for document clustering is designed with graph model and Fuzzy based association rule generation(gFAR).Initially,the graph model is used to map the relationship among the data(multi-source)followed by the establishment of document clustering with the generation of association rule using the fuzzy concept.This method shows benefit in redundancy elimination by mapping the relevant document using graph model and reduces the time consumption and improves the accuracy using the association rule generation with fuzzy.This framework is provided in an interpretable way for document clustering.It iteratively reduces the error rate during relationship mapping among the data(clusters)with the assistance of weighted document content.Also,this model represents the significance of data features with class discrimination.It is also helpful in measuring the significance of the features during the data clustering process.The simulation is done with MATLAB 2016b environment and evaluated with the empirical standards like Relative Risk Patterns(RRP),ROUGE score,and Discrimination Information Measure(DMI)respectively.Here,DailyMail and DUC 2004 dataset is used to extract the empirical results.The proposed gFAR model gives better trade-off while compared with various prevailing approaches. 展开更多
关键词 Document clustering text summarization fuzzy model association rule generation graph model relevance mapping feature patterns
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Non-Associative Property of 123-Avoiding Class of Aunu Permutation Patterns
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作者 Aminu Alhaji Ibrahim Sa’idu Isah Abubakar 《Advances in Pure Mathematics》 2016年第2期51-57,共7页
This paper presents the non-associative and non-commutative properties of the 123-avoiding patterns of Aunu permutation patterns. The generating function of the said patterns has been reported earlier by the author [1... This paper presents the non-associative and non-commutative properties of the 123-avoiding patterns of Aunu permutation patterns. The generating function of the said patterns has been reported earlier by the author [1] [2]. The paper describes how these non-associative and non commutative properties can be established by using the Cayley table on which a binary operation is defined to act on the 123-avoiding and 132-avoiding patterns of Aunu permutations using a pairing scheme. Our results have generated larger matrices from permutations of points of the Aunu patterns of prime cardinality. It follows that the generated symbols can be used in further studies and analysis in cryptography and game theory thereby providing an interdisciplinary approach and applications of these important permutation patterns. 展开更多
关键词 Non-associative NON-COMMUTATIVE PERMUTATION pattern Avoidance 123-Avoiding Aunu patterns Cayley Tables Ecetra
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小兴安岭天然次生林优势物种的空间分布及种间关联性
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作者 王林 彭鑫 +3 位作者 李超 林世博 刘志理 金光泽 《应用生态学报》 北大核心 2026年第1期63-72,共10页
20世纪以来我国东北东部山区地带性顶极植被——阔叶红松林受到强烈的人为干扰,被大面积的次生林和人工林取代,探究次生林中优势种空间分布格局及其种间关联性,对阐明次生林群落构建机制及其生态过程至关重要。本研究依托小兴安岭25 hm... 20世纪以来我国东北东部山区地带性顶极植被——阔叶红松林受到强烈的人为干扰,被大面积的次生林和人工林取代,探究次生林中优势种空间分布格局及其种间关联性,对阐明次生林群落构建机制及其生态过程至关重要。本研究依托小兴安岭25 hm2天然次生林动态监测样地,以样地内胸径≥1 cm的木本植物为研究对象,分析了优势物种的种群结构,基于不同零模型探讨了影响优势物种空间分布的生态过程,并揭示了优势物种间的空间关联性。结果表明:样地内胸径≥1 cm的木本植物共计70611株,隶属于23科39属48种。6种优势物种中,五角槭和红松的径级结构呈倒“J”型,白桦、紫椴和硕桦的径级分布呈近似“正态”型,毛榛呈“L”型。在完全空间随机模型下,毛榛、红松、硕桦在所有尺度上(0~100 m)均呈聚集分布,白桦、五角槭、紫椴在0~81、0~94、0~48 m尺度上呈聚集分布,其余尺度为随机分布。在泊松聚块模型中,毛榛、五角槭、紫椴、红松在0~5 m尺度表现为聚集分布,白桦在0~2 m尺度呈聚集分布,硕桦在所有尺度上均呈随机分布。在异质泊松模型下,优势物种聚集程度减弱,并趋于随机与均匀分布。样地内优势树种的种间关联性以正、负关联为主,其中常绿树种与落叶树种的种间关联主要表现为正关联,乔木与灌木优势树种间多为负关联。综上,该次生林群落更新良好,扩散限制和生境异质性主导优势物种空间格局,优势物种间的关联性表现为竞争与互惠共存机制并存。 展开更多
关键词 天然次生林 点格局 空间分布 种间关联性 小兴安岭
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不同环境介质中微生物基本功能组分致炎效应研究进展
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作者 张灿 桂萍 +6 位作者 赵乾秀 张传福 谭朝洪 曹晓梅 李颖 张明露 白淼 《中国环境科学》 北大核心 2026年第1期515-524,共10页
微生物增殖及死亡过程释放病原相关分子模式(PAMPs),机体通过胃肠、呼吸和皮肤等途径长期暴露于PAMPs具有潜在致炎效应风险.空气、水和土壤等环境存在大量微生物,为PAMPs释放提供极为有利的天然条件.本研究归纳了PAMPs中重要物质内毒素... 微生物增殖及死亡过程释放病原相关分子模式(PAMPs),机体通过胃肠、呼吸和皮肤等途径长期暴露于PAMPs具有潜在致炎效应风险.空气、水和土壤等环境存在大量微生物,为PAMPs释放提供极为有利的天然条件.本研究归纳了PAMPs中重要物质内毒素、肽聚糖、磷壁酸、脂蛋白和Cp G DNA特性;阐述不同环境介质如空气、水和土壤环境中PAMPs赋存特征与健康风险;介绍机体对PAMPs识别机制及其疾病诱发风险,并揭示PAMPs与环境污染物联合暴露后致炎能力呈现的协同增强效应;根据环境领域PAMPs研究现状,重点探讨现存不足之处,提出亟需加快PAMPs标准检测体系、暴露风险阈值和流行病学等方面研究,推动环境领域PAMPs研究进展,为全面理解和评估PAMPs健康风险提供参考依据. 展开更多
关键词 微生物 病原相关分子模式 致炎效应物质 环境介质 健康风险
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A Novel Multivalued Associative Memory System
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作者 李克 裴文江 +1 位作者 杨绿溪 何振亚 《Journal of Southeast University(English Edition)》 EI CAS 1998年第2期7-12,共6页
Globally coupled map (GCM) model can evolve through chaotic searching into several stable periodic orbits under properly controlled parameters. This can be exploited in information processing such as associative memor... Globally coupled map (GCM) model can evolve through chaotic searching into several stable periodic orbits under properly controlled parameters. This can be exploited in information processing such as associative memory and optimization. In this paper, we propose a novel covariance learning rule for multivalue patterns and apply it in memorization of gray scale images based on modified GCM model (S GCM). Analysis of retrieval results are given finally. 展开更多
关键词 globally coupled map chaotic neural networks associative memory pattern
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基于多维度数据挖掘技术探讨针灸治疗变应性鼻炎配穴规律及效应机制
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作者 龙韬 高敏 +4 位作者 余敏 罗翱 杜曜宇 张雯双 王艺静 《广州中医药大学学报》 2026年第1期132-141,共10页
【目的】探讨针灸治疗变应性鼻炎的配穴规律及其可能的效应机制。【方法】计算机检索中国知网期刊全文数据库(CNKI)、万方学术期刊全文数据库(Wanfang)、维普中文科技期刊数据库(VIP)、中国生物医学文献数据库(SinoMed)及美国生物医学... 【目的】探讨针灸治疗变应性鼻炎的配穴规律及其可能的效应机制。【方法】计算机检索中国知网期刊全文数据库(CNKI)、万方学术期刊全文数据库(Wanfang)、维普中文科技期刊数据库(VIP)、中国生物医学文献数据库(SinoMed)及美国生物医学信息检索系统(PubMed)五大数据库,检索自建库至2024年10月28日收录的针灸治疗变应性鼻炎的相关文献,并使用Note Express 4.1.0及Excel 2021整理并创建数据库,应用R语言对腧穴进行关联规则分析,运用SPSS Modeler 18.0联合Cytoscape进行关联规则可视化分析,利用IBM SPSS Statistics 25.0对高频腧穴进行聚类分析及因子分析。【结果】共获得针灸处方262条,腧穴85个,22个高频腧穴,依次是迎香、印堂、肺俞等穴,足太阳、督脉、手阳明经是最常用的经脉,特定穴使用最多的是五腧穴,多选头面颈项部及背腰部穴位。迎香-印堂,迎香-合谷等22个强关联规则,聚类分析及因子分析分别将高频腧穴分为4类和7类。【结论】针灸治疗变应性鼻炎配穴以阳经为主,标本兼治,其作用机制可能是通过抑制炎症反应、调节神经系统、调节免疫等方面发挥作用。 展开更多
关键词 针灸 变应性鼻炎 炎症反应 神经调节 免疫调节 配穴规律 关联规则 数据挖掘
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