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
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
Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management.It is a common requirement to reuse the data for clinical research.However,we have to face ...Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management.It is a common requirement to reuse the data for clinical research.However,we have to face challenges like the inconsistence of terminology in electronic health records (EHR) and the complexities in data quality and data formats in regional healthcare platform.In this paper,we propose methodology and process on constructing large scale cohorts which forms the basis of causality and comparative effectiveness relationship in epidemiology.We firstly constructed a Chinese terminology knowledge graph to deal with the diversity of vocabularies on regional platform.Secondly,we built special disease case repositories (i.e.,heart failure repository) that utilize the graph to search the related patients and to normalize the data.Based on the requirements of the clinical research which aimed to explore the effectiveness of taking statin on 180-days readmission in patients with heart failure,we built a large-scale retrospective cohort with 29647 cases of heart failure patients from the heart failure repository.After the propensity score matching,the study group (n=6346) and the control group (n=6346) with parallel clinical characteristics were acquired.Logistic regression analysis showed that taking statins had a negative correlation with 180-days readmission in heart failure patients.This paper presents the workflow and application example of big data mining based on regional EHR data.展开更多
OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetn...OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetness constitution.METHODS: A case-control study was conducted with the cases selected from the database of Chinese constitution survey in 9 provinces or municipalities of China. 1380 cases met the diagnostic criteria of phlegm-wetness type were taken as the case group, and 1380 cases were randomly selected from gentleness type as the control group. Using Chi-square test to compare the differences of lifestyle-behavior composition in each group; single factor and multiple logistic regression analysis were used to compare the relationships of life-style-behavioral factors and phlegm-wetness type.RESULTS: There were statistically significant differences between phlegm-wetness type group and gentleness type group in lifestyle behaviors(dietary habits, tobacco and liquor consumptions, exercise habits, sleeping habits). The results of single factor logistic regression analysis demonstrated that the risk of phlegm-wetness constitution decreased significantly in light diet(odds ratio, OR=0.68);The risk factors of phlegm-wetness type were fatty food intake(OR=2.36), sleeping early and getting up late(OR=1.87), tobacco smoking(OR=1.83),barbecued food intake(OR=1.68), alcohol drinking(OR=1.63), salty food intake(OR=1.44), sleeping erratically(OR=1.43), less physical activities(OR=1.42), sweet food intake(OR=1.29), sleeping and getting up late(OR=1.26), and pungent food intake(OR=1.21), respectively. Regardless of the interaction among lifestyle-behavioral factors, the results of the multiple logistic regression analysis revealed that the risk factors of phlegm-wetness type were sleeping early and getting up late(OR=1.94), fatty food intake(OR=1.80), tobacco smoking(OR=1.50),sleeping erratically(OR=1.50), barbecued food intake(OR=1.40), sleeping and getting up late(OR=1.40), less physical activities(OR=1.31), sleeping late and getting up early(OR=1.27),and sweet food intake(OR=1.27), respectively, and the risk ofphlegm-wetness type still decreased significantly inlightfoodintake(OR=0.79).CONCLUSION: Light diet can decrease the risk of being phlegm-wetness constitution, and bad lifestyle behaviors such as sleeping early and getting up late, sleeping erratically, fatty food, barbecued food or sweet food intake, tobacco and liquor consumptions, and less physical activities can increase the risks of becoming phlegm-wetness constitution.展开更多
Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst cas...Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst case of algorithms by such a technique. In this paper, in terms of non-functional testing, we re-define the worst case of some algorithms, respectively. By using genetic algorithms (GAs), we illustrate the strategies corresponding to each type of instances. We here adopt three problems for examples;the sorting problem, the 0/1 knapsack problem (0/1KP), and the travelling salesperson problem (TSP). In some algorithms solving these problems, we could find the worst-case instances successfully;the successfulness of the result is based on a statistical approach and comparison to the results by using the random testing. Our tried examples introduce informative guidelines to the use of genetic algorithms in generating the worst-case instance, which is defined in the aspect of algorithm performance.展开更多
The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effecti...The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effective strategies for software test cases optimization problem such as classification, minimization, selection, and prioritization has been one of the research focuses in software testing for a long time. Many researchers and academicians have addressed the effectiveness/fitness and optimization of test cases, and obtained many interesting results. However, one issue of paramount importance in software testing i.e. the intrinsic imprecise and uncertainty of test cases fitness, fitness parameters, multi-objective optimization, is left unaddressed. Test cases fitness depends on several parameters. Vagueness of fitness of test cases and their fitness parameters have created the uncertainty in test cases optimization. Cost and adequacy values are incorporated into multi-faceted optimization of test cases. This paper argues test cases optimization requires multi-faceted optimization in order to adequately cater realistic software testing. In this paper, authors have identified several parameters for test cases fitness and multiple objectives for test cases optimization. In addition above, authors have formulated the test cases optimization problem in three different ways using multi-faceted concept. These formulations can be used in future by authors and researchers.展开更多
OBJECTIVE: To discuss the causes and treatments of wound infections after scoliosis surgery. METHODS: Nine hundred and twenty-four caes of scoliosis were reviewed, and the clinical data of 15 cases of postoperative in...OBJECTIVE: To discuss the causes and treatments of wound infections after scoliosis surgery. METHODS: Nine hundred and twenty-four caes of scoliosis were reviewed, and the clinical data of 15 cases of postoperative infection were analysed retrospectively. RESULTS: All 15 cases underwent spinal posterior fusion with autologous bone graft using instrumentations. Seven were diagnosed as early infection, and 8 were delayed infection. Radical debridement was performed in all 15 cases. The duration of antibiotics administration was 10 to 34 days with continuous closed irrigation for 2 to approximately 4 weeks and primary closure for the wounds. All patients were followed up for an average of 3.5 years (2 to 7.5 years) with good outcomes and no recurrence. CONCLUSION: Wound infection following surgical correction of scoliosis primarily results from intraoperative seeding, although host-related and operation-related factors may contribute to its development. Once the infections are diagnosed, good results can be achieved by prompt surgical debridement, irrigation and reasonably administered antibiotics. Removal of hardware may be necessary in deep infections.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.
基金Supported by the National Major Scientific and Technological Special Project for"Significant New Drugs Development’’(No.2018ZX09201008)Special Fund Project for Information Development from Shanghai Municipal Commission of Economy and Information(No.201701013)
文摘Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management.It is a common requirement to reuse the data for clinical research.However,we have to face challenges like the inconsistence of terminology in electronic health records (EHR) and the complexities in data quality and data formats in regional healthcare platform.In this paper,we propose methodology and process on constructing large scale cohorts which forms the basis of causality and comparative effectiveness relationship in epidemiology.We firstly constructed a Chinese terminology knowledge graph to deal with the diversity of vocabularies on regional platform.Secondly,we built special disease case repositories (i.e.,heart failure repository) that utilize the graph to search the related patients and to normalize the data.Based on the requirements of the clinical research which aimed to explore the effectiveness of taking statin on 180-days readmission in patients with heart failure,we built a large-scale retrospective cohort with 29647 cases of heart failure patients from the heart failure repository.After the propensity score matching,the study group (n=6346) and the control group (n=6346) with parallel clinical characteristics were acquired.Logistic regression analysis showed that taking statins had a negative correlation with 180-days readmission in heart failure patients.This paper presents the workflow and application example of big data mining based on regional EHR data.
基金Supported by Research of Traditional Chinese Medicine Health cognition theory and Constitution Classification from the National Basic Research Program(973 Program)(No.2011CB505403)
文摘OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetness constitution.METHODS: A case-control study was conducted with the cases selected from the database of Chinese constitution survey in 9 provinces or municipalities of China. 1380 cases met the diagnostic criteria of phlegm-wetness type were taken as the case group, and 1380 cases were randomly selected from gentleness type as the control group. Using Chi-square test to compare the differences of lifestyle-behavior composition in each group; single factor and multiple logistic regression analysis were used to compare the relationships of life-style-behavioral factors and phlegm-wetness type.RESULTS: There were statistically significant differences between phlegm-wetness type group and gentleness type group in lifestyle behaviors(dietary habits, tobacco and liquor consumptions, exercise habits, sleeping habits). The results of single factor logistic regression analysis demonstrated that the risk of phlegm-wetness constitution decreased significantly in light diet(odds ratio, OR=0.68);The risk factors of phlegm-wetness type were fatty food intake(OR=2.36), sleeping early and getting up late(OR=1.87), tobacco smoking(OR=1.83),barbecued food intake(OR=1.68), alcohol drinking(OR=1.63), salty food intake(OR=1.44), sleeping erratically(OR=1.43), less physical activities(OR=1.42), sweet food intake(OR=1.29), sleeping and getting up late(OR=1.26), and pungent food intake(OR=1.21), respectively. Regardless of the interaction among lifestyle-behavioral factors, the results of the multiple logistic regression analysis revealed that the risk factors of phlegm-wetness type were sleeping early and getting up late(OR=1.94), fatty food intake(OR=1.80), tobacco smoking(OR=1.50),sleeping erratically(OR=1.50), barbecued food intake(OR=1.40), sleeping and getting up late(OR=1.40), less physical activities(OR=1.31), sleeping late and getting up early(OR=1.27),and sweet food intake(OR=1.27), respectively, and the risk ofphlegm-wetness type still decreased significantly inlightfoodintake(OR=0.79).CONCLUSION: Light diet can decrease the risk of being phlegm-wetness constitution, and bad lifestyle behaviors such as sleeping early and getting up late, sleeping erratically, fatty food, barbecued food or sweet food intake, tobacco and liquor consumptions, and less physical activities can increase the risks of becoming phlegm-wetness constitution.
文摘Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst case of algorithms by such a technique. In this paper, in terms of non-functional testing, we re-define the worst case of some algorithms, respectively. By using genetic algorithms (GAs), we illustrate the strategies corresponding to each type of instances. We here adopt three problems for examples;the sorting problem, the 0/1 knapsack problem (0/1KP), and the travelling salesperson problem (TSP). In some algorithms solving these problems, we could find the worst-case instances successfully;the successfulness of the result is based on a statistical approach and comparison to the results by using the random testing. Our tried examples introduce informative guidelines to the use of genetic algorithms in generating the worst-case instance, which is defined in the aspect of algorithm performance.
文摘The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effective strategies for software test cases optimization problem such as classification, minimization, selection, and prioritization has been one of the research focuses in software testing for a long time. Many researchers and academicians have addressed the effectiveness/fitness and optimization of test cases, and obtained many interesting results. However, one issue of paramount importance in software testing i.e. the intrinsic imprecise and uncertainty of test cases fitness, fitness parameters, multi-objective optimization, is left unaddressed. Test cases fitness depends on several parameters. Vagueness of fitness of test cases and their fitness parameters have created the uncertainty in test cases optimization. Cost and adequacy values are incorporated into multi-faceted optimization of test cases. This paper argues test cases optimization requires multi-faceted optimization in order to adequately cater realistic software testing. In this paper, authors have identified several parameters for test cases fitness and multiple objectives for test cases optimization. In addition above, authors have formulated the test cases optimization problem in three different ways using multi-faceted concept. These formulations can be used in future by authors and researchers.
文摘OBJECTIVE: To discuss the causes and treatments of wound infections after scoliosis surgery. METHODS: Nine hundred and twenty-four caes of scoliosis were reviewed, and the clinical data of 15 cases of postoperative infection were analysed retrospectively. RESULTS: All 15 cases underwent spinal posterior fusion with autologous bone graft using instrumentations. Seven were diagnosed as early infection, and 8 were delayed infection. Radical debridement was performed in all 15 cases. The duration of antibiotics administration was 10 to 34 days with continuous closed irrigation for 2 to approximately 4 weeks and primary closure for the wounds. All patients were followed up for an average of 3.5 years (2 to 7.5 years) with good outcomes and no recurrence. CONCLUSION: Wound infection following surgical correction of scoliosis primarily results from intraoperative seeding, although host-related and operation-related factors may contribute to its development. Once the infections are diagnosed, good results can be achieved by prompt surgical debridement, irrigation and reasonably administered antibiotics. Removal of hardware may be necessary in deep infections.
