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Morphological features of allogenic nerve segment in rats after subcutaneous embedment
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作者 Mingtang Gao Dianming Jiang 《Neural Regeneration Research》 SCIE CAS CSCD 2006年第1期50-52,共3页
BACKGROUND : Some studies demonstrate that allogenic peripheral nerve segment embedded subcutaneously significantly reduce the infiltration of lymphocyte and decrease immunological reaction.OBJECTIVE : To observe th... BACKGROUND : Some studies demonstrate that allogenic peripheral nerve segment embedded subcutaneously significantly reduce the infiltration of lymphocyte and decrease immunological reaction.OBJECTIVE : To observe the gross shape, optical and electron microscope results of allogenic nerve segment in rats 2 weeks after subcutaneous embedment, and compare with subcutaneous emdedment of autologous nerve segment. DESIGN : A randomized and controlled experiment.SETTING : Department of Orthopaedics of Fifth People's Hospital of Zhengzhou; Department of Orthopaedics,First Hospital Affiliated to Chongqing Medical University.MATERIALS : Totally 30 adult healthy Wistar male rats, with body mass of (200±20) g, were enrolled. Ten rats were chosen as the donors of allogenic nerve transplantation. The other 20 rats were randomly divided into 2 groups: allogenic nerve embedment group and autologous nerve embedment group, with 10 rats in each one. JEM-1220 transmission electron microscope (Japan) and Olympus BX50 optical microscope (Japan) were used. METHODS : This experiment was carried out at the laboratory of Orthopaedic Department, Chongqing Medical University from October 2000 to April 2002. ① Sciatic nerve of donor rats for allogenic nerve transplantation was cut off at 5 mm distant from pelvic strait.15 mm sciatic nerve segment was chosen from lateral part as graft, allogenic nerve embedment group: 15 mm sciatic nerve form the donor rats was embedded in the posterior part of right legs. Autologous nerve embedment group: 15 mm sciatic nerve segment of autologous left side was embedded in the posterior side of right legs. ② Nerve segment embedded subcutaneously was taken out at postoperative 2 weeks and performed gross observation; then 5 samples chosen randomly respectively from 2 groups and given haematoxylin-eosin staining and observation under optical microscope (×400);The other 5 samples were made into ultrathin sections (0.5μm)and observed under transmission electron microscope(×17 000). MAIN OUTCOME MEASURES : Gross shape, optical and electron microscope results of nerve segments of rats between two groups at 2 weeks after subcutaneous embedment. RESULTS : ① Results of gross observation: Appearance of nerve segment was similar between 2 groups. ② Results of optical observation: medullary sheath denaturation, axonotmesis, vascular engorgement, desmoplasia of adventitia and infiltration of inflammatory cells were all found in both 2 groups. Inflammatory reaction was a little more severe in the allogenic nerve embedment group than in the autologous nerve embedment groups.③Results of electron microscope : Similar cataplasia and denaturation of medullary sheath and cataplasia of Schwann cell were all found in the 2 groups. CONCLUSION: Some inflammatory reaction occurs after allogenic nerve embedment, but the activity of Schwann cell is similar to that of peripheral nerve after autologous nerve embedment. 展开更多
关键词 Morphological features of allogenic nerve segment in rats after subcutaneous embedment
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A Partition Checkpoint Strategy Based on Data Segment Priority
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作者 LIANG Ping LIU Yunsheng 《Wuhan University Journal of Natural Sciences》 CAS 2012年第2期109-113,共5页
A partition checkpoint strategy based on data segment priority is presented to meet the timing constraints of the data and the transaction in embedded real-time main memory database systems(ERTMMDBS) as well as to r... A partition checkpoint strategy based on data segment priority is presented to meet the timing constraints of the data and the transaction in embedded real-time main memory database systems(ERTMMDBS) as well as to reduce the number of the transactions missing their deadlines and the recovery time.The partition checkpoint strategy takes into account the characteristics of the data and the transactions associated with it;moreover,it partitions the database according to the data segment priority and sets the corresponding checkpoint frequency to each partition for independent checkpoint operation.The simulation results show that the partition checkpoint strategy decreases the ratio of trans-actions missing their deadlines. 展开更多
关键词 embedded real-time main memory database systems database recovery partition checkpoint data segment priority
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数字经济、虚拟网络嵌入与旅游经济联系 被引量:1
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作者 刘震 杨勇 +1 位作者 刘安禹 王静 《旅游学刊》 北大核心 2025年第10期98-116,共19页
增强地区间旅游经济联系对畅通区域经济循环至关重要,发展数字经济则成为构筑旅游经济联系的有效抓手。文章基于2011—2019年我国285个地级市的多源研究数据,实证考察了数字经济对旅游经济联系的影响效应及作用机制。研究发现:1)数字经... 增强地区间旅游经济联系对畅通区域经济循环至关重要,发展数字经济则成为构筑旅游经济联系的有效抓手。文章基于2011—2019年我国285个地级市的多源研究数据,实证考察了数字经济对旅游经济联系的影响效应及作用机制。研究发现:1)数字经济发展能够显著提升旅游经济联系水平,并且这一影响效应在考虑不同类型市场分割及内生性问题下均得到证实;2)虚拟网络嵌入是数字经济增强旅游经济联系的关键机制,具体表现为数字经济通过增强不同城市在虚拟网络中的关系嵌入和结构嵌入提升旅游经济联系;3)在高信息壁垒、低资源禀赋地区,数字经济所带来的虚拟网络嵌入效应更为明显,同时,数字经济更有利于后发城市嵌入虚拟网络,为缩小后发城市与先发城市间的旅游经济联系水平差距创造机遇。研究结论为充分释放数字经济红利、加快推动全国统一旅游大市场建设提供了政策启示。 展开更多
关键词 数字经济 旅游经济联系 虚拟网络嵌入 市场分割
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Chinese Sentiment Classification Using Extended Word2Vec
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作者 张胜 张鑫 +1 位作者 程佳军 王晖 《Journal of Donghua University(English Edition)》 EI CAS 2016年第5期823-826,共4页
Sentiment analysis is now more and more important in modern natural language processing,and the sentiment classification is the one of the most popular applications.The crucial part of sentiment classification is feat... Sentiment analysis is now more and more important in modern natural language processing,and the sentiment classification is the one of the most popular applications.The crucial part of sentiment classification is feature extraction.In this paper,two methods for feature extraction,feature selection and feature embedding,are compared.Then Word2Vec is used as an embedding method.In this experiment,Chinese document is used as the corpus,and tree methods are used to get the features of a document:average word vectors,Doc2Vec and weighted average word vectors.After that,these samples are fed to three machine learning algorithms to do the classification,and support vector machine(SVM) has the best result.Finally,the parameters of random forest are analyzed. 展开更多
关键词 embedding document segmentation dimensionality suffers projection latter classify preprocessing probabilistic
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