Water resources are an indispensable and valuable resource for human survival and development.Water quality predicting plays an important role in the protection and development of water resources.It is difficult to pr...Water resources are an indispensable and valuable resource for human survival and development.Water quality predicting plays an important role in the protection and development of water resources.It is difficult to predictwater quality due to its random and trend changes.Therefore,amethod of predicting water quality which combines Auto Regressive Integrated Moving Average(ARIMA)and clusteringmodelwas proposed in this paper.By taking thewater qualitymonitoring data of a certain river basin as a sample,thewater quality Total Phosphorus(TP)index was selected as the prediction object.Firstly,the sample data was cleaned,stationary analyzed,and white noise analyzed.Secondly,the appropriate parameters were selected according to the Bayesian Information Criterion(BIC)principle,and the trend component characteristics were obtained by using ARIMA to conduct water quality predicting.Thirdly,the relationship between the precipitation and the TP index in themonitoring water field was analyzed by the K-means clusteringmethod,and the random incremental characteristics of precipitation on water quality changes were calculated.Finally,by combining with the trend component characteristics and the random incremental characteristics,the water quality prediction results were calculated.Compared with the ARIMA water quality prediction method,experiments showed that the proposed method has higher accuracy,and its Mean Absolute Error(MAE),Mean Square Error(MSE),and Mean Absolute Percentage Error(MAPE)were respectively reduced by 44.6%,56.8%,and 45.8%.展开更多
目的:观察薯蓣粥对妊娠期糖尿病(GDM)患者血糖和胰岛素抵抗(IR)的影响。方法:选取2019年7月—2020年12月在中国人民解放军联勤保障部队第九〇〇医院(总院区和仓山院区)和福建省立金山医院产科门诊确诊的GDM患者144例,采用SAS 9.4软件将...目的:观察薯蓣粥对妊娠期糖尿病(GDM)患者血糖和胰岛素抵抗(IR)的影响。方法:选取2019年7月—2020年12月在中国人民解放军联勤保障部队第九〇〇医院(总院区和仓山院区)和福建省立金山医院产科门诊确诊的GDM患者144例,采用SAS 9.4软件将GDM患者随机分为对照组和观察组,每组72例。对照组给予常规治疗和护理,主要包括定期门诊产检、饮食指导、运动指导、血糖自我监测和健康教育。观察组在对照组的基础上给予薯蓣粥,即在保持早餐摄入总热量不变的情况下,用薯蓣粥代替早餐中的碳水化合物[125 g去皮山药热量为70 kcal(1 kcal=4.186 kJ)],薯蓣粥于每天清晨服用,每周5次,连续服用10周。比较2组血糖指标[空腹血糖(FBG)、餐后2 h血糖(2 h PBG)、糖化血红蛋白(HbA1c)]、胰岛素抵抗指标[空腹胰岛素(FINS)、胰岛素抵抗指数(HOMA-IR)]、妊娠结局指标(妊娠分娩方式、妊娠不良结局)。结果:①血糖指标:与干预前比较,2组干预4、8、10周后2 h PBG均明显降低,2组干预10周后HbA1c均明显升高,差异具有统计学意义(P<0.05)。与对照组同一时间点比较,观察组干预8、10周后FBG均明显降低,干预后4、8、10周后2 h PBG均明显降低,干预10周后HbA1c明显降低,差异具有统计学意义(P<0.05)。②胰岛素抵抗指标:与干预前比较,对照组干预10周后FINS、HOMA-IR均明显升高,差异具有统计学意义(P<0.05);而观察组干预10周后FINS、HOMA-IR均无明显区别,差异无统计学意义(P>0.05)。与对照组比较,观察组干预10周后FINS、HOMA-IR均明显降低,差异具有统计学意义(P<0.05)。③妊娠结局:2组不良妊娠结局比较,差异无统计学意义(P>0.05)。结论:薯蓣粥可以有效改善GDM患者血糖和IR,但对妊娠结局的影响不明显,值得临床推广应用。展开更多
基金funded by the National Natural Science Foundation of China(No.51775185),Natural Science Foundation of Hunan Province(2022JJ90013)Scientific Research Fund of Hunan Province Education Department(18C0003)+1 种基金Research project on teaching reform in colleges and universities of Hunan Province Education Department(20190147)Hunan Normal University University-Industry Cooperation.This work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province,Open project,Grant Number 20181901CRP04.
文摘Water resources are an indispensable and valuable resource for human survival and development.Water quality predicting plays an important role in the protection and development of water resources.It is difficult to predictwater quality due to its random and trend changes.Therefore,amethod of predicting water quality which combines Auto Regressive Integrated Moving Average(ARIMA)and clusteringmodelwas proposed in this paper.By taking thewater qualitymonitoring data of a certain river basin as a sample,thewater quality Total Phosphorus(TP)index was selected as the prediction object.Firstly,the sample data was cleaned,stationary analyzed,and white noise analyzed.Secondly,the appropriate parameters were selected according to the Bayesian Information Criterion(BIC)principle,and the trend component characteristics were obtained by using ARIMA to conduct water quality predicting.Thirdly,the relationship between the precipitation and the TP index in themonitoring water field was analyzed by the K-means clusteringmethod,and the random incremental characteristics of precipitation on water quality changes were calculated.Finally,by combining with the trend component characteristics and the random incremental characteristics,the water quality prediction results were calculated.Compared with the ARIMA water quality prediction method,experiments showed that the proposed method has higher accuracy,and its Mean Absolute Error(MAE),Mean Square Error(MSE),and Mean Absolute Percentage Error(MAPE)were respectively reduced by 44.6%,56.8%,and 45.8%.
文摘目的:观察薯蓣粥对妊娠期糖尿病(GDM)患者血糖和胰岛素抵抗(IR)的影响。方法:选取2019年7月—2020年12月在中国人民解放军联勤保障部队第九〇〇医院(总院区和仓山院区)和福建省立金山医院产科门诊确诊的GDM患者144例,采用SAS 9.4软件将GDM患者随机分为对照组和观察组,每组72例。对照组给予常规治疗和护理,主要包括定期门诊产检、饮食指导、运动指导、血糖自我监测和健康教育。观察组在对照组的基础上给予薯蓣粥,即在保持早餐摄入总热量不变的情况下,用薯蓣粥代替早餐中的碳水化合物[125 g去皮山药热量为70 kcal(1 kcal=4.186 kJ)],薯蓣粥于每天清晨服用,每周5次,连续服用10周。比较2组血糖指标[空腹血糖(FBG)、餐后2 h血糖(2 h PBG)、糖化血红蛋白(HbA1c)]、胰岛素抵抗指标[空腹胰岛素(FINS)、胰岛素抵抗指数(HOMA-IR)]、妊娠结局指标(妊娠分娩方式、妊娠不良结局)。结果:①血糖指标:与干预前比较,2组干预4、8、10周后2 h PBG均明显降低,2组干预10周后HbA1c均明显升高,差异具有统计学意义(P<0.05)。与对照组同一时间点比较,观察组干预8、10周后FBG均明显降低,干预后4、8、10周后2 h PBG均明显降低,干预10周后HbA1c明显降低,差异具有统计学意义(P<0.05)。②胰岛素抵抗指标:与干预前比较,对照组干预10周后FINS、HOMA-IR均明显升高,差异具有统计学意义(P<0.05);而观察组干预10周后FINS、HOMA-IR均无明显区别,差异无统计学意义(P>0.05)。与对照组比较,观察组干预10周后FINS、HOMA-IR均明显降低,差异具有统计学意义(P<0.05)。③妊娠结局:2组不良妊娠结局比较,差异无统计学意义(P>0.05)。结论:薯蓣粥可以有效改善GDM患者血糖和IR,但对妊娠结局的影响不明显,值得临床推广应用。
