In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly an...In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly and intuitively by visualization of multi-dimensional indicators. A method of machine learning and visualization is proposed, which can display and analyze the capabilities of different WSOS in a two-dimensional plane. The analysis and comparison of the comprehensive capability of different components of WSOS is realized by the method, which consists of six parts: multiple simulations, key indicators mining, three spatial distance calculation, fusion project calculation, calculation of individual capability density, and calculation of multiple capability ranges overlay. Binding a simulation experiment, the collaborative analysis of six indicators and 100 possible kinds of red WSOS are achieved. The experimental results show that this method can effectively improve the quality and speed of capabilities analysis, reveal a large number of potential information, and provide a visual support for the qualitative and quantitative analysis model.展开更多
Geochemistry is a powerful tool to help characterize the tectonic setting of igneous rocks associations.However,when continental mafic dykes and flood basalts are the target most of the proposed geochemical discrimina...Geochemistry is a powerful tool to help characterize the tectonic setting of igneous rocks associations.However,when continental mafic dykes and flood basalts are the target most of the proposed geochemical discrimination diagrams fail to correctly classify them,i.e.many mafic展开更多
BACKGROUND Type 2 diabetes mellitus(T2DM),a chronic metabolic disease with a high global incidence,has become a serious public health challenge.China has the largest number of T2DM patients worldwide,imposing a signif...BACKGROUND Type 2 diabetes mellitus(T2DM),a chronic metabolic disease with a high global incidence,has become a serious public health challenge.China has the largest number of T2DM patients worldwide,imposing a significant economic burden on the healthcare system.T2DM is closely associated with insulin resistance,impaired pancreatic B cell function,and disordered glucose and lipid metabolism,which can lead to various complications,reducing patients'quality of life and increasing the risk of disability and death.Thus,finding effective preventive and intervention measures is crucial.Exercise therapy,a key part of diabetes management,has gained attention in recent years,with many studies indicating its benefits for blood glucose control and other aspects in diabetic patients.AIM To assess the effectiveness of combined resistance and aerobic exercise interventions on blood glucose control and metabolic indicators in patients with T2DM and to explore their application in diabetes management.METHODS Systematic searches were conducted using PubMed,EMBASE,Cochrane Library,and Chinese databases for relevant randomized controlled trials(RCTs).The inclusion criteria were participants aged≥18 years with T2DM and the intervention involved combined resistance and aerobic exercise for≥8 weeks.The primary outcome indicators were fasting blood glucose,low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),triglycerides(TG),glycated hemoglobin A1c(HbA1c),and total cholesterol(TC)levels.Data analysis was performed using RevMan software,and the interventional effects were assessed using weighted mean differences or standardized mean differences(SMD).RESULTS Six RCTs meeting the inclusion criteria were included,with a total sample size of 366 participants.The meta-analysis results showed that combined resistance and aerobic exercise significantly improved several metabolic indicators in patients with T2DM.Specific results were as follows:(1)For fasting blood glucose,combined exercise was more effective than aerobic exercise alone[SMD=1.22;95%confidence interval(95%CI):0.70,1.74;P<0.00001];(2)LDL-C levels were significantly reduced by the combined intervention(SMD=1.45;95%CI:1.18-1.72;P<0.00001);(3)The combined intervention significantly increased HDL-C levels(SMD=1.42;95%CI:0.98-1.87;P<0.00001);(4)The combined intervention significantly reduced TG levels(SMD=1.12;95%CI:0.85-1.39;P<0.00001;(5)No statistically significant difference was observed in HbA1c between the combined and the aerobic exercise group(SMD=-0.03;95%CI:-1.09 to 1.04;P<0.00001);and(6)The combined exercise intervention group significantly reduced TC levels(SMD=2.66;95%CI:1.93-3.38;P<0.00001).The subgroup analysis results suggest that the effect of exercise interventions may be influenced by various factors,including the patient's age,baseline blood glucose levels,and exercise intensity.CONCLUSION Combined resistance and aerobic exercise intervention significantly improved fasting blood glucose,LDL-C,HDL-C,TG,and TC levels in patients with T2DM,especially in terms of blood glucose control and cardiovascular risk,demonstrating better outcomes than aerobic exercise alone.展开更多
In recent times,approaches to flood prevention and mitigation have changed a lot.These changes are to shift the focus from flood control to flood risk management,in which the assessment of vulnerability to floods caus...In recent times,approaches to flood prevention and mitigation have changed a lot.These changes are to shift the focus from flood control to flood risk management,in which the assessment of vulnerability to floods caused by each sector and field corresponding to each flood magnitude is typical.Current flood vulnerability assessment studies are basically holistic based on factors affected by floods or in aspects:economy,society and ecological environment,and aspects that are mentioned in all areas of social life.The content of the flood vulnerability assessment method usually considers 3 components:E(Exposure),S(Susceptibility),A(Adaptability-Recovery).Each component will contain many different variables belonging to different objects and different natural-economic-social characteristics in each area.Therefore,for each research area,the evaluation method needs to establish an appropriate set of indicators.A set of indicators used to assess flood vulnerability must:be scientific;be practical;simplify the investigation,collection and synthesis of data.This study has established a set of combinatorial indicators including 27 indicators for the T-BRB(Thach Han-Ben Hai River Basin)on the basis of analysis and synthesis from case studies.展开更多
Objective:To explore the clinical application rules of Láogōng(劳宫PC8)by analyzing the comparison and contrast of the practice with this acupoint in ancient times and in present.Methods:Relevant literature befo...Objective:To explore the clinical application rules of Láogōng(劳宫PC8)by analyzing the comparison and contrast of the practice with this acupoint in ancient times and in present.Methods:Relevant literature before October 1,1949 was selected from Chinese Medical Code(Fifth Edition)and Compilation of Moden Chinese Medicine Journals and literature published after October 1,1949 was screened from China National knowledge Infrastructure(CNIK),Wanfang Data Knowledge Service Platform(Wanfang),VIP Chinese Journal Service Platform(VIP),Chinese BioMedine Database(CBM),Pubmed Database,and Web of Science.After screening,SQL Server database was established.The complex network analysis was conducted by using Gephi and the cluster analysis was performed by SPSS Statistics.Results:Before October 1,1949,Lráogōng(劳宫PC8),on a single use or with a match of Dàlíng(大陵PC7),Guānyuán(关元CV4),and Zúsānlǐ(足三里ST36),was mainly used for treating ozostomia and edema due to pregnancy.However,Láogōng(劳宫PC8),on a single use or with a match of Yǒngquán(涌泉KI1),Hégǔ(合谷L14)and Nèiguān(内关PC6)was commonly for the treatment of toothache and the sequelae after wind stroke after October 1 st,1949.Conclusion:Láogōng(劳宫PC8)is mainly used to treat local disorders or diseases pertaining to the pericardium meridian.The single-point therapy was commonly applied before October 1 st,1949,while a combination of other points is more common afterwards and the scope of indication expands,with its application for psychiatry disorders,pain diseases and emergent diseases.Acupoints on the same meridian of Láogōng(劳宫PC8),ying-spring points,the back-shu points and combination between and the upper and the lower are dominated in the selection of supplementary points.The supplementary acupoints with the highest frequency of use were specific acupoints,including five-shu points,yuan-source points,front-mu points,etc。展开更多
Precise and timely prediction of crop yields is crucial for food security and the development of agricultural policies.However,crop yield is influenced by multiple factors within complex growth environments.Previous r...Precise and timely prediction of crop yields is crucial for food security and the development of agricultural policies.However,crop yield is influenced by multiple factors within complex growth environments.Previous research has paid relatively little attention to the interference of environmental factors and drought on the growth of winter wheat.Therefore,there is an urgent need for more effective methods to explore the inherent relationship between these factors and crop yield,making precise yield prediction increasingly important.This study was based on four type of indicators including meteorological,crop growth status,environmental,and drought index,from October 2003 to June 2019 in Henan Province as the basic data for predicting winter wheat yield.Using the sparrow search al-gorithm combined with random forest(SSA-RF)under different input indicators,accuracy of winter wheat yield estimation was calcu-lated.The estimation accuracy of SSA-RF was compared with partial least squares regression(PLSR),extreme gradient boosting(XG-Boost),and random forest(RF)models.Finally,the determined optimal yield estimation method was used to predict winter wheat yield in three typical years.Following are the findings:1)the SSA-RF demonstrates superior performance in estimating winter wheat yield compared to other algorithms.The best yield estimation method is achieved by four types indicators’composition with SSA-RF)(R^(2)=0.805,RRMSE=9.9%.2)Crops growth status and environmental indicators play significant roles in wheat yield estimation,accounting for 46%and 22%of the yield importance among all indicators,respectively.3)Selecting indicators from October to April of the follow-ing year yielded the highest accuracy in winter wheat yield estimation,with an R^(2)of 0.826 and an RMSE of 9.0%.Yield estimates can be completed two months before the winter wheat harvest in June.4)The predicted performance will be slightly affected by severe drought.Compared with severe drought year(2011)(R^(2)=0.680)and normal year(2017)(R^(2)=0.790),the SSA-RF model has higher prediction accuracy for wet year(2018)(R^(2)=0.820).This study could provide an innovative approach for remote sensing estimation of winter wheat yield.yield.展开更多
To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and obj...To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)method.Based on the traditional distribution network evaluation system,a comprehensive evaluation system has been constructed.It fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid connection.The analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment methods.The subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum entropy.Calculate the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different scenarios.By setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.展开更多
The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluatio...The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluation method can consider these two uncertainties to produce more objective and reasonable evaluation results. In this paper, we propose a combination evaluation method with two main parts:(1) the use of fuzzy comprehensive evaluation and gray correlation analysis as submodels with which to consider the fuzzy and gray uncertainties and(2) the establishment of a combination model based on minimum bias squares. In addition, using this method, we evaluate the water quality of a ditch in a typical rice–wheat system of Yixing city in the Taihu Lake Basin during three rainfall events. The results show that the ditch water quality is not good and we found the chemical oxygen demand to be the key indicator that affects water quality most significantly. The proposed combination evaluation method is more accurate and practical than single-factor evaluation methods in that it considers the uncertainties of fuzziness and grayness.展开更多
基金supported by the National Natural Science Foundation of China(U14352186140340161273189)
文摘In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly and intuitively by visualization of multi-dimensional indicators. A method of machine learning and visualization is proposed, which can display and analyze the capabilities of different WSOS in a two-dimensional plane. The analysis and comparison of the comprehensive capability of different components of WSOS is realized by the method, which consists of six parts: multiple simulations, key indicators mining, three spatial distance calculation, fusion project calculation, calculation of individual capability density, and calculation of multiple capability ranges overlay. Binding a simulation experiment, the collaborative analysis of six indicators and 100 possible kinds of red WSOS are achieved. The experimental results show that this method can effectively improve the quality and speed of capabilities analysis, reveal a large number of potential information, and provide a visual support for the qualitative and quantitative analysis model.
基金The Brazilian Sao Paulo State Research Foundation(FAPESP)partially supported this research(grants 2012/15824-6 and 2012/07243-3)
文摘Geochemistry is a powerful tool to help characterize the tectonic setting of igneous rocks associations.However,when continental mafic dykes and flood basalts are the target most of the proposed geochemical discrimination diagrams fail to correctly classify them,i.e.many mafic
基金Supported by Research Project of Zhejiang Provincial Science and Technology Plan for Traditional Chinese Medicine,No.2024ZL753and Research Project of Zhejiang Provincial Medical and Health Science and Technology Plan,No.2024KY1406.
文摘BACKGROUND Type 2 diabetes mellitus(T2DM),a chronic metabolic disease with a high global incidence,has become a serious public health challenge.China has the largest number of T2DM patients worldwide,imposing a significant economic burden on the healthcare system.T2DM is closely associated with insulin resistance,impaired pancreatic B cell function,and disordered glucose and lipid metabolism,which can lead to various complications,reducing patients'quality of life and increasing the risk of disability and death.Thus,finding effective preventive and intervention measures is crucial.Exercise therapy,a key part of diabetes management,has gained attention in recent years,with many studies indicating its benefits for blood glucose control and other aspects in diabetic patients.AIM To assess the effectiveness of combined resistance and aerobic exercise interventions on blood glucose control and metabolic indicators in patients with T2DM and to explore their application in diabetes management.METHODS Systematic searches were conducted using PubMed,EMBASE,Cochrane Library,and Chinese databases for relevant randomized controlled trials(RCTs).The inclusion criteria were participants aged≥18 years with T2DM and the intervention involved combined resistance and aerobic exercise for≥8 weeks.The primary outcome indicators were fasting blood glucose,low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),triglycerides(TG),glycated hemoglobin A1c(HbA1c),and total cholesterol(TC)levels.Data analysis was performed using RevMan software,and the interventional effects were assessed using weighted mean differences or standardized mean differences(SMD).RESULTS Six RCTs meeting the inclusion criteria were included,with a total sample size of 366 participants.The meta-analysis results showed that combined resistance and aerobic exercise significantly improved several metabolic indicators in patients with T2DM.Specific results were as follows:(1)For fasting blood glucose,combined exercise was more effective than aerobic exercise alone[SMD=1.22;95%confidence interval(95%CI):0.70,1.74;P<0.00001];(2)LDL-C levels were significantly reduced by the combined intervention(SMD=1.45;95%CI:1.18-1.72;P<0.00001);(3)The combined intervention significantly increased HDL-C levels(SMD=1.42;95%CI:0.98-1.87;P<0.00001);(4)The combined intervention significantly reduced TG levels(SMD=1.12;95%CI:0.85-1.39;P<0.00001;(5)No statistically significant difference was observed in HbA1c between the combined and the aerobic exercise group(SMD=-0.03;95%CI:-1.09 to 1.04;P<0.00001);and(6)The combined exercise intervention group significantly reduced TC levels(SMD=2.66;95%CI:1.93-3.38;P<0.00001).The subgroup analysis results suggest that the effect of exercise interventions may be influenced by various factors,including the patient's age,baseline blood glucose levels,and exercise intensity.CONCLUSION Combined resistance and aerobic exercise intervention significantly improved fasting blood glucose,LDL-C,HDL-C,TG,and TC levels in patients with T2DM,especially in terms of blood glucose control and cardiovascular risk,demonstrating better outcomes than aerobic exercise alone.
文摘In recent times,approaches to flood prevention and mitigation have changed a lot.These changes are to shift the focus from flood control to flood risk management,in which the assessment of vulnerability to floods caused by each sector and field corresponding to each flood magnitude is typical.Current flood vulnerability assessment studies are basically holistic based on factors affected by floods or in aspects:economy,society and ecological environment,and aspects that are mentioned in all areas of social life.The content of the flood vulnerability assessment method usually considers 3 components:E(Exposure),S(Susceptibility),A(Adaptability-Recovery).Each component will contain many different variables belonging to different objects and different natural-economic-social characteristics in each area.Therefore,for each research area,the evaluation method needs to establish an appropriate set of indicators.A set of indicators used to assess flood vulnerability must:be scientific;be practical;simplify the investigation,collection and synthesis of data.This study has established a set of combinatorial indicators including 27 indicators for the T-BRB(Thach Han-Ben Hai River Basin)on the basis of analysis and synthesis from case studies.
文摘Objective:To explore the clinical application rules of Láogōng(劳宫PC8)by analyzing the comparison and contrast of the practice with this acupoint in ancient times and in present.Methods:Relevant literature before October 1,1949 was selected from Chinese Medical Code(Fifth Edition)and Compilation of Moden Chinese Medicine Journals and literature published after October 1,1949 was screened from China National knowledge Infrastructure(CNIK),Wanfang Data Knowledge Service Platform(Wanfang),VIP Chinese Journal Service Platform(VIP),Chinese BioMedine Database(CBM),Pubmed Database,and Web of Science.After screening,SQL Server database was established.The complex network analysis was conducted by using Gephi and the cluster analysis was performed by SPSS Statistics.Results:Before October 1,1949,Lráogōng(劳宫PC8),on a single use or with a match of Dàlíng(大陵PC7),Guānyuán(关元CV4),and Zúsānlǐ(足三里ST36),was mainly used for treating ozostomia and edema due to pregnancy.However,Láogōng(劳宫PC8),on a single use or with a match of Yǒngquán(涌泉KI1),Hégǔ(合谷L14)and Nèiguān(内关PC6)was commonly for the treatment of toothache and the sequelae after wind stroke after October 1 st,1949.Conclusion:Láogōng(劳宫PC8)is mainly used to treat local disorders or diseases pertaining to the pericardium meridian.The single-point therapy was commonly applied before October 1 st,1949,while a combination of other points is more common afterwards and the scope of indication expands,with its application for psychiatry disorders,pain diseases and emergent diseases.Acupoints on the same meridian of Láogōng(劳宫PC8),ying-spring points,the back-shu points and combination between and the upper and the lower are dominated in the selection of supplementary points.The supplementary acupoints with the highest frequency of use were specific acupoints,including five-shu points,yuan-source points,front-mu points,etc。
基金Under the auspices of National Natural Science Foundation of China(No.52079103)。
文摘Precise and timely prediction of crop yields is crucial for food security and the development of agricultural policies.However,crop yield is influenced by multiple factors within complex growth environments.Previous research has paid relatively little attention to the interference of environmental factors and drought on the growth of winter wheat.Therefore,there is an urgent need for more effective methods to explore the inherent relationship between these factors and crop yield,making precise yield prediction increasingly important.This study was based on four type of indicators including meteorological,crop growth status,environmental,and drought index,from October 2003 to June 2019 in Henan Province as the basic data for predicting winter wheat yield.Using the sparrow search al-gorithm combined with random forest(SSA-RF)under different input indicators,accuracy of winter wheat yield estimation was calcu-lated.The estimation accuracy of SSA-RF was compared with partial least squares regression(PLSR),extreme gradient boosting(XG-Boost),and random forest(RF)models.Finally,the determined optimal yield estimation method was used to predict winter wheat yield in three typical years.Following are the findings:1)the SSA-RF demonstrates superior performance in estimating winter wheat yield compared to other algorithms.The best yield estimation method is achieved by four types indicators’composition with SSA-RF)(R^(2)=0.805,RRMSE=9.9%.2)Crops growth status and environmental indicators play significant roles in wheat yield estimation,accounting for 46%and 22%of the yield importance among all indicators,respectively.3)Selecting indicators from October to April of the follow-ing year yielded the highest accuracy in winter wheat yield estimation,with an R^(2)of 0.826 and an RMSE of 9.0%.Yield estimates can be completed two months before the winter wheat harvest in June.4)The predicted performance will be slightly affected by severe drought.Compared with severe drought year(2011)(R^(2)=0.680)and normal year(2017)(R^(2)=0.790),the SSA-RF model has higher prediction accuracy for wet year(2018)(R^(2)=0.820).This study could provide an innovative approach for remote sensing estimation of winter wheat yield.yield.
基金support of the project“State Grid Corporation Headquarters Science and Technology Program(5108-202299258A-1-0-ZB)”.
文摘To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)method.Based on the traditional distribution network evaluation system,a comprehensive evaluation system has been constructed.It fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid connection.The analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment methods.The subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum entropy.Calculate the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different scenarios.By setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.
基金supported by the National Key Research and Development Program of China (No. 2017YFC0405006)the Innovative Research Groups of the National Natural Science Foundation of China (No. 51621092)the Natural Science Foundation of Tianjin (No. 16JCYBJC23100)
文摘The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluation method can consider these two uncertainties to produce more objective and reasonable evaluation results. In this paper, we propose a combination evaluation method with two main parts:(1) the use of fuzzy comprehensive evaluation and gray correlation analysis as submodels with which to consider the fuzzy and gray uncertainties and(2) the establishment of a combination model based on minimum bias squares. In addition, using this method, we evaluate the water quality of a ditch in a typical rice–wheat system of Yixing city in the Taihu Lake Basin during three rainfall events. The results show that the ditch water quality is not good and we found the chemical oxygen demand to be the key indicator that affects water quality most significantly. The proposed combination evaluation method is more accurate and practical than single-factor evaluation methods in that it considers the uncertainties of fuzziness and grayness.
