Objectives: To evaluate the various scoring systems, APACHE II, SOFA, SAPS II and MPM for the prediction of prognosis of the obstetric critically ill patients admitted in a well supported ICU unit. Material and method...Objectives: To evaluate the various scoring systems, APACHE II, SOFA, SAPS II and MPM for the prediction of prognosis of the obstetric critically ill patients admitted in a well supported ICU unit. Material and methods: A prospective, observational study was conducted among all the obstetric patients admitted to the ICU between October 2011 and December 2012, during a period of 15 months. The data collected were of three categories: demographic, obstetric and ICU related. Results and Analysis: The patients admitted in the postpartum period (n = 28, 53.84%) were more than the antenatal admissions (n = 24, 46.16%). 32.69% of admissions were in the third trimester. The most common mode of delivery was emergency caesarean section (n = 27/40, 67.5%). Total caesarean deliveries were 35/40 = 87.5% in ICU patients. The mortality prediction scores were calculated for 41 patients only as acid blood gas analysis was not available for the rest. Patients required ventilation—51.92%, hemodialysis—19.23%, inotropic support—38.46%, blood transfusion—50%. Analysis of the statistical data for ICU parameters has shown that hospital stay (p = 0.011) and ventilation days (p = 0.014) are significant predictors of maternal outcome. Age (p = 0.789), ICU stay (p = 0.701) and RRT (p = 0.632) are not significant. Among the obstetric ICU admissions, hypertensive disorders of pregnancy (30.76%) was the predominant cause followed by obstetric haemorrhage (23.07%). Discussion: HELLP syndrome and eclampsia (n = 4, 57%) were the major causes of maternal deaths with anaesthetic mishaps accounting for 29% (n = 2). One (14%) death was due to Eisenmenger’s syndrome. In one case of H1N1 admitted with ARDS, caesarean section was done in MICU for worsening respiratory distress. The maternal mortality in this series of cases was 7/52 = 13.46%, excluding the unavoidable cases of maternal death (3 cases brain dead at admission and one cardiac arrest in emergency room), our maternal mortality rate is 3/48 = 6.25%. The predicted mortality as measured by all scoring systems (for 41 patients) was between 17% and 30%. The observed mortality was around 17%. Hence a reduction in mortality of 40% has been achieved due to intensive care. Conclusions: Leading cause of maternal mortality was HELLP syndrome. Hypertensive disorders of pregnancy were the most common cause of admission to ICU. In this study, all the scores were equally significant in predicting maternal mortality. Amongst the interventions done for these patients mechanical ventilation seems to have an influence on the overall outcome.展开更多
全球最大的企业管理软件和协同商务解决方案供应商SAP公司近日宣布，邯郸钢铁集团有限责任公司与SAP正式签约，全面启用包含APO(Advanced Planner and Optimizer高级计划优化器）系统在内的SAP旗舰产品mySAP商务套件，旨在帮助邯钢建立...全球最大的企业管理软件和协同商务解决方案供应商SAP公司近日宣布，邯郸钢铁集团有限责任公司与SAP正式签约，全面启用包含APO(Advanced Planner and Optimizer高级计划优化器）系统在内的SAP旗舰产品mySAP商务套件，旨在帮助邯钢建立起覆盖产供销、质量、财务、设备资产管理的信息系统，提升邯钢在板材产销领域的核心竞争力以及集团公司在财务资产管理方面的控制力。展开更多
Concern on alteration of sediment natural flow caused by developments of water resources system, has been addressed in many river basins around the world especially in developing and remote regions where sediment data...Concern on alteration of sediment natural flow caused by developments of water resources system, has been addressed in many river basins around the world especially in developing and remote regions where sediment data are poorly gauged or ungauged. Since suspended sediment load (SSL) is predominant, the objectives of this research are to: 1) simulate monthly average SSL (SSLm) of four catchments using artificial neural network (ANN);2) assess the application of the calibrated ANN (Cal-ANN) models in three ungauged catchment representatives (UCR) before using them to predict SSLm of three actual ungauged catchments (AUC) in the Tonle Sap River Basin;and 3) estimate annual SSL (SSLA) of each AUC for the case of with and without dam-reservoirs. The model performance for total load (SSLT) prediction was also investigated because it is important for dam-reservoir management. For model simulation, ANN yielded very satisfactory results with determination coefficient (R2) ranging from 0.81 to 0.94 in calibration stage and 0.63 to 0.87 in validation stage. The Cal-ANN models also performed well in UCRs with R2 ranging from 0.59 to 0.64. From the result of this study, one can estimate SSLm and SSLT of ungauged catchments with an accuracy of 0.61 in term of R2 and 34.06% in term of absolute percentage bias, respectively. SSLA of the AUCs was found between 159,281 and 723,580 t/year. In combination with Brune’s method, the impact of dam-reservoirs could reduce SSLA between 47% and 68%. This result is key information for sustainable development of such infrastructures.展开更多
近日，全球商业软件解决方案的领导供货商SAP（NYSE：SAP)与Macromedia(NASDAQ：MACR)宣布，利用Macromedia Flex的应用程序架构来伸延SAP Net Weare的整合能力。此整合让SAP解决方案的操作界面变得更为丰富，当中包括面向客户群的SAP...近日，全球商业软件解决方案的领导供货商SAP（NYSE：SAP)与Macromedia(NASDAQ：MACR)宣布，利用Macromedia Flex的应用程序架构来伸延SAP Net Weare的整合能力。此整合让SAP解决方案的操作界面变得更为丰富，当中包括面向客户群的SAP企业人口基础(Portal-based)应用程序，整合后的应用程序将带来更为完美及流畅的用户体验，而员工的生产力及客户满意度也将大大提升。展开更多
Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction o...Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction of new products/ services, version management of existing products/ services, management of customer/partner connections, management of multi-channel service delivery (web, social media, web etc.), merger/acquisitions of new businesses and adoption of new innovations/technologies will drive data growth in business applications. These datasets exist in different sharing nothing business applications at different locations and in various forms. So, to make sense of this information and derive insight, it is essential to break the data silos, streamline data retrieval and simplify information access across the entire organization. The information access framework must support just-in-time processing capabilities to bring data from multiple sources, be fast and powerful enough to transform and process huge amounts of data quickly, and be agile enough to accommodate new data sources per user needs. This paper discusses the SAP HANA Smart Data Access data-virtualization technology to enable unified access to heterogenous data across the organization and analysis of huge volume of data in real-time using SAP HANA in-memory platform.展开更多
Tonle Sap Lake is the largest river-connected lake, buffer area and ecological zone of Mekong River, which plays a huge role in dispelling flood peak and compensating water, and the conservation of biological diversit...Tonle Sap Lake is the largest river-connected lake, buffer area and ecological zone of Mekong River, which plays a huge role in dispelling flood peak and compensating water, and the conservation of biological diversity. The river-lake relationship between Mekong River and Tonle Sap Lake is unique and has always been a major focus in the international community. The land terrain and under-water topography were used to analyze the morphological characteristics of Cambodia Mekong Delta and Tonle Sap Lake. Long series of hydrological data of river-lake controlling stations were used to analyze the water level variation characteristics and water volume exchange pattern between Mekong River and Tonle Sap Lake, and the response relationship to river-lake morphological characteristics were also researched. The results show that: Cambodia Mekong Delta and Tonle Sap Lake Area is low-lying and flat with gentle channel gradient and water surface gradient, making the relationship between water level and area (or volume) smooth. The channel storage capacity of Mekong River and Tonle Sap River is not enough compared to the inflow, so vast flooding plain is extremely prone to be inundated, making the flood relationships between the left and right banks become very complicated. Tonle Sap Lake is a seasonal freshwater lake with water flowing in and flowing out, and the timing and intensity of water exchange with Mekong River are closely related to the water flow resistance at the exit section of Tonle Sap Lake and the cross-sectional area of Tonle Sap River, which can be reflected by the river-lake water level difference and the water level of Tonle Sap River. Affected by the river-lake morphological characteristics, the water exchange intensity between Mekong River and Tonle Sap Lake is great. Tonle Sap Lake not only stores 14.4% of flood volume (39.7 billion m3) from the Mekong River every year, but also supplies 29.7% of dry water (69.4 billion m3) to the Mekong River. Influenced by the adjustment of the floodplain, the water level fluctuation of Mekong River and Tonle Sap Lake is slow, and the rising and droop rates of water level are positively correlated with the floodplain storage area. The research results will help to understand the relationship mechanism between Mekong River and Tonle Sap Lake and provide a scientific basis for the comprehensive governance of Cambodia Mekong Delta and Tonle Sap Lake Area.展开更多
The dynamics of sap flow in relation to plant morphology and weather conditions during reproductive growth of soybean (Glycine max. L. Merr.) influence decisions pertaining to efficient irrigation management and other...The dynamics of sap flow in relation to plant morphology and weather conditions during reproductive growth of soybean (Glycine max. L. Merr.) influence decisions pertaining to efficient irrigation management and other inputs for high yields. Field studies began in 2017 at Marianna, Arkansas to measure moisture dynamics of soybeans during seed fill (R5 to R7) using heat balance stem flow gauges. Sap flow was highly correlated to solar radiation with maximum rates observed during beginning seed fill (R5). A solar radiation efficiency (SRE) value, calculated as hourly sap flow rate per Watt-hour of solar radiation (g/Wh2), is proposed. The SRE relates to crop water demand and hydraulic resistance of the soil-root-stem-leaf-pod-seed pathway. SRE values ranged from 0 - 1.2 g/Wh2. Soil moisture, growth stage, time of day, and weather conditions influenced the SRE, with higher values observed in the morning, late afternoon, and during R5 growth. Peak sap flows of 39 g/h at R5, 25 g/h at R6, and 3 g/h at R7 occurred. The ratio of measured sap flow to estimated crop evapotranspiration was 0.9 to 1.3 during R5 to R6.9 (maximum dry matter), but dropped to 0.2 at R7. Further research is needed to better understand late season reproductive moisture dynamics in soybeans.展开更多
文摘Objectives: To evaluate the various scoring systems, APACHE II, SOFA, SAPS II and MPM for the prediction of prognosis of the obstetric critically ill patients admitted in a well supported ICU unit. Material and methods: A prospective, observational study was conducted among all the obstetric patients admitted to the ICU between October 2011 and December 2012, during a period of 15 months. The data collected were of three categories: demographic, obstetric and ICU related. Results and Analysis: The patients admitted in the postpartum period (n = 28, 53.84%) were more than the antenatal admissions (n = 24, 46.16%). 32.69% of admissions were in the third trimester. The most common mode of delivery was emergency caesarean section (n = 27/40, 67.5%). Total caesarean deliveries were 35/40 = 87.5% in ICU patients. The mortality prediction scores were calculated for 41 patients only as acid blood gas analysis was not available for the rest. Patients required ventilation—51.92%, hemodialysis—19.23%, inotropic support—38.46%, blood transfusion—50%. Analysis of the statistical data for ICU parameters has shown that hospital stay (p = 0.011) and ventilation days (p = 0.014) are significant predictors of maternal outcome. Age (p = 0.789), ICU stay (p = 0.701) and RRT (p = 0.632) are not significant. Among the obstetric ICU admissions, hypertensive disorders of pregnancy (30.76%) was the predominant cause followed by obstetric haemorrhage (23.07%). Discussion: HELLP syndrome and eclampsia (n = 4, 57%) were the major causes of maternal deaths with anaesthetic mishaps accounting for 29% (n = 2). One (14%) death was due to Eisenmenger’s syndrome. In one case of H1N1 admitted with ARDS, caesarean section was done in MICU for worsening respiratory distress. The maternal mortality in this series of cases was 7/52 = 13.46%, excluding the unavoidable cases of maternal death (3 cases brain dead at admission and one cardiac arrest in emergency room), our maternal mortality rate is 3/48 = 6.25%. The predicted mortality as measured by all scoring systems (for 41 patients) was between 17% and 30%. The observed mortality was around 17%. Hence a reduction in mortality of 40% has been achieved due to intensive care. Conclusions: Leading cause of maternal mortality was HELLP syndrome. Hypertensive disorders of pregnancy were the most common cause of admission to ICU. In this study, all the scores were equally significant in predicting maternal mortality. Amongst the interventions done for these patients mechanical ventilation seems to have an influence on the overall outcome.
文摘全球最大的企业管理软件和协同商务解决方案供应商SAP公司近日宣布，邯郸钢铁集团有限责任公司与SAP正式签约，全面启用包含APO(Advanced Planner and Optimizer高级计划优化器）系统在内的SAP旗舰产品mySAP商务套件，旨在帮助邯钢建立起覆盖产供销、质量、财务、设备资产管理的信息系统，提升邯钢在板材产销领域的核心竞争力以及集团公司在财务资产管理方面的控制力。
文摘Concern on alteration of sediment natural flow caused by developments of water resources system, has been addressed in many river basins around the world especially in developing and remote regions where sediment data are poorly gauged or ungauged. Since suspended sediment load (SSL) is predominant, the objectives of this research are to: 1) simulate monthly average SSL (SSLm) of four catchments using artificial neural network (ANN);2) assess the application of the calibrated ANN (Cal-ANN) models in three ungauged catchment representatives (UCR) before using them to predict SSLm of three actual ungauged catchments (AUC) in the Tonle Sap River Basin;and 3) estimate annual SSL (SSLA) of each AUC for the case of with and without dam-reservoirs. The model performance for total load (SSLT) prediction was also investigated because it is important for dam-reservoir management. For model simulation, ANN yielded very satisfactory results with determination coefficient (R2) ranging from 0.81 to 0.94 in calibration stage and 0.63 to 0.87 in validation stage. The Cal-ANN models also performed well in UCRs with R2 ranging from 0.59 to 0.64. From the result of this study, one can estimate SSLm and SSLT of ungauged catchments with an accuracy of 0.61 in term of R2 and 34.06% in term of absolute percentage bias, respectively. SSLA of the AUCs was found between 159,281 and 723,580 t/year. In combination with Brune’s method, the impact of dam-reservoirs could reduce SSLA between 47% and 68%. This result is key information for sustainable development of such infrastructures.
文摘近日，全球商业软件解决方案的领导供货商SAP（NYSE：SAP)与Macromedia(NASDAQ：MACR)宣布，利用Macromedia Flex的应用程序架构来伸延SAP Net Weare的整合能力。此整合让SAP解决方案的操作界面变得更为丰富，当中包括面向客户群的SAP企业人口基础(Portal-based)应用程序，整合后的应用程序将带来更为完美及流畅的用户体验，而员工的生产力及客户满意度也将大大提升。
文摘Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction of new products/ services, version management of existing products/ services, management of customer/partner connections, management of multi-channel service delivery (web, social media, web etc.), merger/acquisitions of new businesses and adoption of new innovations/technologies will drive data growth in business applications. These datasets exist in different sharing nothing business applications at different locations and in various forms. So, to make sense of this information and derive insight, it is essential to break the data silos, streamline data retrieval and simplify information access across the entire organization. The information access framework must support just-in-time processing capabilities to bring data from multiple sources, be fast and powerful enough to transform and process huge amounts of data quickly, and be agile enough to accommodate new data sources per user needs. This paper discusses the SAP HANA Smart Data Access data-virtualization technology to enable unified access to heterogenous data across the organization and analysis of huge volume of data in real-time using SAP HANA in-memory platform.
文摘Tonle Sap Lake is the largest river-connected lake, buffer area and ecological zone of Mekong River, which plays a huge role in dispelling flood peak and compensating water, and the conservation of biological diversity. The river-lake relationship between Mekong River and Tonle Sap Lake is unique and has always been a major focus in the international community. The land terrain and under-water topography were used to analyze the morphological characteristics of Cambodia Mekong Delta and Tonle Sap Lake. Long series of hydrological data of river-lake controlling stations were used to analyze the water level variation characteristics and water volume exchange pattern between Mekong River and Tonle Sap Lake, and the response relationship to river-lake morphological characteristics were also researched. The results show that: Cambodia Mekong Delta and Tonle Sap Lake Area is low-lying and flat with gentle channel gradient and water surface gradient, making the relationship between water level and area (or volume) smooth. The channel storage capacity of Mekong River and Tonle Sap River is not enough compared to the inflow, so vast flooding plain is extremely prone to be inundated, making the flood relationships between the left and right banks become very complicated. Tonle Sap Lake is a seasonal freshwater lake with water flowing in and flowing out, and the timing and intensity of water exchange with Mekong River are closely related to the water flow resistance at the exit section of Tonle Sap Lake and the cross-sectional area of Tonle Sap River, which can be reflected by the river-lake water level difference and the water level of Tonle Sap River. Affected by the river-lake morphological characteristics, the water exchange intensity between Mekong River and Tonle Sap Lake is great. Tonle Sap Lake not only stores 14.4% of flood volume (39.7 billion m3) from the Mekong River every year, but also supplies 29.7% of dry water (69.4 billion m3) to the Mekong River. Influenced by the adjustment of the floodplain, the water level fluctuation of Mekong River and Tonle Sap Lake is slow, and the rising and droop rates of water level are positively correlated with the floodplain storage area. The research results will help to understand the relationship mechanism between Mekong River and Tonle Sap Lake and provide a scientific basis for the comprehensive governance of Cambodia Mekong Delta and Tonle Sap Lake Area.
文摘The dynamics of sap flow in relation to plant morphology and weather conditions during reproductive growth of soybean (Glycine max. L. Merr.) influence decisions pertaining to efficient irrigation management and other inputs for high yields. Field studies began in 2017 at Marianna, Arkansas to measure moisture dynamics of soybeans during seed fill (R5 to R7) using heat balance stem flow gauges. Sap flow was highly correlated to solar radiation with maximum rates observed during beginning seed fill (R5). A solar radiation efficiency (SRE) value, calculated as hourly sap flow rate per Watt-hour of solar radiation (g/Wh2), is proposed. The SRE relates to crop water demand and hydraulic resistance of the soil-root-stem-leaf-pod-seed pathway. SRE values ranged from 0 - 1.2 g/Wh2. Soil moisture, growth stage, time of day, and weather conditions influenced the SRE, with higher values observed in the morning, late afternoon, and during R5 growth. Peak sap flows of 39 g/h at R5, 25 g/h at R6, and 3 g/h at R7 occurred. The ratio of measured sap flow to estimated crop evapotranspiration was 0.9 to 1.3 during R5 to R6.9 (maximum dry matter), but dropped to 0.2 at R7. Further research is needed to better understand late season reproductive moisture dynamics in soybeans.
