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家校融合“小”微信,阅读训练“大”舞台 被引量:1
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作者 王晓燕 《学周刊》 2020年第1期136-136,共1页
提升小学生的语文阅读能力,仅仅依靠小学语文阅读课堂教学是远远不够的.教师还要想方设法将学生的阅读视野拓展到小学语文课堂之外.如今,"小"微信就是引领学生在课外训练并提升阅读能力的一方"大"舞台.本文将围绕... 提升小学生的语文阅读能力,仅仅依靠小学语文阅读课堂教学是远远不够的.教师还要想方设法将学生的阅读视野拓展到小学语文课堂之外.如今,"小"微信就是引领学生在课外训练并提升阅读能力的一方"大"舞台.本文将围绕家校融合"小"微信,开辟阅读训练"大"舞台展开简单论述. 展开更多
关键词 家校融合 "小"微信 阅读训练 "大"舞台
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Application of Holter ECG Signal Analysis Based on Wavelet and Data Mining Technique
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作者 余辉 谢远国 +1 位作者 周仲兴 吕扬生 《Transactions of Tianjin University》 EI CAS 2004年第2期126-129,共4页
A new model based on dyadic differential wavelet was developed for detecting the R peak in Holter ECG signal according to the design of data mining. The Mallat recursive filter algorithm was introduced to calculate wa... A new model based on dyadic differential wavelet was developed for detecting the R peak in Holter ECG signal according to the design of data mining. The Mallat recursive filter algorithm was introduced to calculate wavelet and optimize the detection algorithm which is based on the equivalent filter technique. The detection algorithm has been verified by MIT arrhythmia database with a high efficiency of 99%. After optimization, the algorithm was put into clinical experiment and tested in the Air Force Hospital in Tianjin for about two months. After about 108 hearts beating test of more than 100 patients, the total efficient detection rate has reached 97%. Now this algorithm module has been applied in business software and shows perfect performance under the complex conditions such as the inversion of heart beating, the falling off of the electrodes, the excursion of base line and so on. 展开更多
关键词 WAVELET data mining signal detection ELECTROCARDIOGRAM dyadic wavelet R peak detection
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Description and analysis of non-stationary signals by nested semi-Markov processes
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作者 V F Kravchenko V I Lutsenko +1 位作者 I V Lutsenko D O Popov 《Journal of Measurement Science and Instrumentation》 CAS 2014年第3期25-32,共8页
The possibility of describing the time-dependent processes of scattering by underlying surfaces and the clear sky, as well as the seasonal behaviour of the refractive index of troposphere by using nested semi-Markov p... The possibility of describing the time-dependent processes of scattering by underlying surfaces and the clear sky, as well as the seasonal behaviour of the refractive index of troposphere by using nested semi-Markov processes has been consid- ered. Local Gaussian models can be used to describe the process inside each phase state. The possibility of describing the sta- tistics of reflections from the sea and the refractive index by using Kravchenko finite functions has been shown for the first time. 展开更多
关键词 semi-Markov processes Kravchenko functions atomic functions scattered signal
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Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory 被引量:1
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作者 杨建文 陈祥光 金怀平 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第6期1009-1016,共8页
Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90 h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is conta... Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90 h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is contaminated to certain extent, the product quality and yield will be seriously affected, leading to a substantial economic loss. Using information fusion based on the Dezer–Smarandache theory, self-recursive wavelet neural network and unscented kalman filter, a novel method for online prediction of contamination is developed. All state variables of culture process involving easy-to-measure and difficult-to-measure variables commonly obtained with soft-sensors present their contamination symptoms. By extracting and fusing latent information from the changing trend of each variable, integral and accurate prediction results for contamination can be achieved. This makes preventive and corrective measures be taken promptly. The field experimental results show that the method can be used to detect the contamination in time, reducing production loss and enhancing economic efficiency. 展开更多
关键词 ChlortetTacycline fermentation Online prediction of contamination Dezert-Smarandache theory Self-recursive wavelet neural network Unscented kalman filter
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New insights into p53 functions through its target microRNAs 被引量:8
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作者 Jun-Ming Liao Bo Cao XiangZhou Hua Lu 《Journal of Molecular Cell Biology》 SCIE CAS CSCD 2014年第3期206-213,共8页
The tumor suppressor p53 pathway, whose alterations are highly associated with all types of human cancers, plays an essential role in preventingtumor development and progression mostly through its downstream target ge... The tumor suppressor p53 pathway, whose alterations are highly associated with all types of human cancers, plays an essential role in preventingtumor development and progression mostly through its downstream target genes. Over the last decade, a growing list of p53 microRNA (miRNA) targets has been identified as additional downstream players of this pathway. Further studies ofthese miRNAs have revealed their more complicated regulations and functions in executing and/or regulating p53 activity. Here, we review the p53 miRNA targets identified thus far, and discuss how they fine-tune p53 stress responses, mediate the crosstalk between p53 and other signaling pathways, and expand the role of p53 in other human diseases in addition to cancers. 展开更多
关键词 miRNA P53 TUMORIGENESIS cancer
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