Based on updating of new generation weather radar software,compilation system of new generation weather radar case data could automatically back up data and compile radar case.Using C language and VC++6.0 development ...Based on updating of new generation weather radar software,compilation system of new generation weather radar case data could automatically back up data and compile radar case.Using C language and VC++6.0 development technology,the software realizes the automatic sorting and saving of radar base data,radar products and radar status information on different machines every day,and automatically creates various folders and files required for compiling data.By inputting the days,date,start and end times,renaming and compression of the base data,product data and status information could be automatically completed,to realize automation,batch,process and standardization of case data compilation.Since putting into the radar business,the operation has been stable and reliable.The working efficiency of business personnel has been improved,and a large number of manpower has been saved.It can be transplanted and popularized in other new generation weather radar stations.展开更多
This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In ...This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In this system we propose data mining algorithms to discover case knowledge and other algorithms.展开更多
The study area is located between the cities of Comitan (16°10'43"N and 92°04'20''W) a city with 150,000 inhabitants and La Esperanza (16°9'15''N and 91°...The study area is located between the cities of Comitan (16°10'43"N and 92°04'20''W) a city with 150,000 inhabitants and La Esperanza (16°9'15''N and 91°52'5''W) a town with 3000 inhabitants. Both weather stations are 30 km from each other in the Chiapas State, México. 54 years of daily records of the series of maximum (<em>t</em><sub>max</sub>) and minimum temperatures (<em>t</em><sub>min</sub>) of the weather station 07205 Comitan that is on top of a house and 30 years of daily records of the weather station 07374 La Esperanza were analyzed. The objective is to analyze the evidence of climate change in the Comitan valley. 2.07% and 19.04% of missing data were filled, respectively, with the WS method. In order to verify homogeneity three methods were used: Standard Normal Homogeneity Test (SNHT), the Von Neumann method and the Buishand method. The heterogeneous series were homogenized using climatol. The trends of <em>t</em><sub>max</sub> and <em>t</em><sub>min</sub> for both weather stations were analyzed by simple linear regression, Sperman’s rho and Mann-Kendall tests. The Mann-Kendal test method confirmed the warming trend at the Comitan station for both variables with <em>Z<sub>MK</sub></em> statistic values equal to 1.57 (statistically not significant) and 4.64 (statistically significant). However, for the Esperanza station, it determined a cooling trend for tmin and a slight non-significant warming for <em>t</em><sub>max</sub> with a <em>Z</em><sub><em>MK</em></sub> statistic of -2.27 (statistically significant) and 1.16 (statistically not significant), for a significance level <em>α</em> = 0.05.展开更多
目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生...目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生对TI-RADS的掌握程度。方法于2023年9月—2023年11月在陕西省人民医院超声科开展培训,内容涵盖TI-RADS理论学习、分层病例阅片、病理知识讲解及临床实践反馈,比较培训前后理论测试、阅片准确率及临床应用变化。结果共有50名超声医生完成培训,对甲状腺结节良恶性判断的准确率得到提升(57.6%vs.63.3%,P=0.003),TI-RADS 4a类分类准确率由38.0%提高至58.0%(P<0.001),而超声报告4类及4a类的占比明显下降,以及超声造影(60.0%vs.82.0%,P<0.001)和细针穿刺活检(80.0%vs.90.0%,P<0.001)结果中恶性占比显著提高。结论CBL与PDCA循环相结合的培训模式可有效提升超声医生对TI-RADS的掌握能力。展开更多
Objectives: Developing inference procedures on the quasi-binomial distribution and the regression model. Methods: Score testing and the method of maximum likelihood for regression parameters estimation. Data: Several ...Objectives: Developing inference procedures on the quasi-binomial distribution and the regression model. Methods: Score testing and the method of maximum likelihood for regression parameters estimation. Data: Several examples are included, based on published data. Results: A quasi-binomial model is used to model binary response data which exhibit extra-binomial variation. A partial score test on the binomial hypothesis versus the quasi-binomial alternative is developed and illustrated on three data sets. The extended logit transformation on the binomial parameter is introduced and the large sample dispersion matrix of the estimated parameters is derived. The Nonlinear Mixed Procedure (NLMIXED) in SAS is shown to be very appropriate for the estimation of nonlinear regression.展开更多
基金Supported by Scientific Research and Technology Development Project of Wuzhou Meteorological Bureau(WUQIKE2020001)。
文摘Based on updating of new generation weather radar software,compilation system of new generation weather radar case data could automatically back up data and compile radar case.Using C language and VC++6.0 development technology,the software realizes the automatic sorting and saving of radar base data,radar products and radar status information on different machines every day,and automatically creates various folders and files required for compiling data.By inputting the days,date,start and end times,renaming and compression of the base data,product data and status information could be automatically completed,to realize automation,batch,process and standardization of case data compilation.Since putting into the radar business,the operation has been stable and reliable.The working efficiency of business personnel has been improved,and a large number of manpower has been saved.It can be transplanted and popularized in other new generation weather radar stations.
基金Supported by the National Science of China(6 0 0 75 0 15 ) and Key Project of Scientific and Technological Departmentin Anhui
文摘This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In this system we propose data mining algorithms to discover case knowledge and other algorithms.
文摘The study area is located between the cities of Comitan (16°10'43"N and 92°04'20''W) a city with 150,000 inhabitants and La Esperanza (16°9'15''N and 91°52'5''W) a town with 3000 inhabitants. Both weather stations are 30 km from each other in the Chiapas State, México. 54 years of daily records of the series of maximum (<em>t</em><sub>max</sub>) and minimum temperatures (<em>t</em><sub>min</sub>) of the weather station 07205 Comitan that is on top of a house and 30 years of daily records of the weather station 07374 La Esperanza were analyzed. The objective is to analyze the evidence of climate change in the Comitan valley. 2.07% and 19.04% of missing data were filled, respectively, with the WS method. In order to verify homogeneity three methods were used: Standard Normal Homogeneity Test (SNHT), the Von Neumann method and the Buishand method. The heterogeneous series were homogenized using climatol. The trends of <em>t</em><sub>max</sub> and <em>t</em><sub>min</sub> for both weather stations were analyzed by simple linear regression, Sperman’s rho and Mann-Kendall tests. The Mann-Kendal test method confirmed the warming trend at the Comitan station for both variables with <em>Z<sub>MK</sub></em> statistic values equal to 1.57 (statistically not significant) and 4.64 (statistically significant). However, for the Esperanza station, it determined a cooling trend for tmin and a slight non-significant warming for <em>t</em><sub>max</sub> with a <em>Z</em><sub><em>MK</em></sub> statistic of -2.27 (statistically significant) and 1.16 (statistically not significant), for a significance level <em>α</em> = 0.05.
文摘目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生对TI-RADS的掌握程度。方法于2023年9月—2023年11月在陕西省人民医院超声科开展培训,内容涵盖TI-RADS理论学习、分层病例阅片、病理知识讲解及临床实践反馈,比较培训前后理论测试、阅片准确率及临床应用变化。结果共有50名超声医生完成培训,对甲状腺结节良恶性判断的准确率得到提升(57.6%vs.63.3%,P=0.003),TI-RADS 4a类分类准确率由38.0%提高至58.0%(P<0.001),而超声报告4类及4a类的占比明显下降,以及超声造影(60.0%vs.82.0%,P<0.001)和细针穿刺活检(80.0%vs.90.0%,P<0.001)结果中恶性占比显著提高。结论CBL与PDCA循环相结合的培训模式可有效提升超声医生对TI-RADS的掌握能力。
文摘Objectives: Developing inference procedures on the quasi-binomial distribution and the regression model. Methods: Score testing and the method of maximum likelihood for regression parameters estimation. Data: Several examples are included, based on published data. Results: A quasi-binomial model is used to model binary response data which exhibit extra-binomial variation. A partial score test on the binomial hypothesis versus the quasi-binomial alternative is developed and illustrated on three data sets. The extended logit transformation on the binomial parameter is introduced and the large sample dispersion matrix of the estimated parameters is derived. The Nonlinear Mixed Procedure (NLMIXED) in SAS is shown to be very appropriate for the estimation of nonlinear regression.
