Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit prop...Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit property damage caused byfloods.The massive amount of data generated by social media platforms such as Twitter opens the door toflood analysis.Because of the real-time nature of Twitter data,some government agencies and authorities have used it to track natural catastrophe events in order to build a more rapid rescue strategy.However,due to the shorter duration of Tweets,it is difficult to construct a perfect prediction model for determiningflood.Machine learning(ML)and deep learning(DL)approaches can be used to statistically developflood prediction models.At the same time,the vast amount of Tweets necessitates the use of a big data analytics(BDA)tool forflood prediction.In this regard,this work provides an optimal deep learning-basedflood forecasting model with big data analytics(ODLFF-BDA)based on Twitter data.The suggested ODLFF-BDA technique intends to anticipate the existence offloods using tweets in a big data setting.The ODLFF-BDA technique comprises data pre-processing to convert the input tweets into a usable format.In addition,a Bidirectional Encoder Representations from Transformers(BERT)model is used to generate emotive contextual embed-ding from tweets.Furthermore,a gated recurrent unit(GRU)with a Multilayer Convolutional Neural Network(MLCNN)is used to extract local data and predict theflood.Finally,an Equilibrium Optimizer(EO)is used tofine-tune the hyper-parameters of the GRU and MLCNN models in order to increase prediction performance.The memory usage is pull down lesser than 3.5 MB,if its compared with the other algorithm techniques.The ODLFF-BDA technique’s performance was validated using a benchmark Kaggle dataset,and thefindings showed that it outperformed other recent approaches significantly.展开更多
Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD3...Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD34+ cells using a retrovirus vector with the aid of recombinant fibro nectin fragments in the presence of a cocktail of cytokines (SCF,IL-6,sIL-6R,F L,and TPO).Colony-forming units-megakaryocyte (CFU-MK) assays were performed as IL-6 gene transduced CD34+ cells were incubated alone or in combination with I L -3 or sIL-6R, controlled with neoR gene transduced CD34+ cells.Result s :IL-6 alone or sIL-6R alone stimulated few CFU-MK colonies,the addit ion of sIL-6R to IL-6 gene transduced CD34+ cells significantly enhanced the prod uction of CFU-MK colonies.IL-6 gene transduced CD34+ cells showed a modest syn er gistic effect with IL-3.Conclusion:These results suggest that IL-6 gene transfer may protect patients from chemotherapy-induced thrombocytop en ia.展开更多
Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexibl...Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexible human-to-computer and human-to-human interactions while maintaining the consistency of the system. This paper summarizes previ- ous researches on this topic and points out the deficiencies of the existing results. A novel semantics-based concurrency control framework, oodOPT is proposed. The main idea of the framework is to resolve conflicts by utilizing semantics of the operations and the accessed data objects. With this approach, complexities in concurrency control are shifted completely from application developers to the framework. Conflicts among operations on objects with different semantics and the strategies resolving these conflicts are analyzed. After describing the algo- rithm in full detail, the discussion ends up with a comparison with other related work and some considerations for open problems.展开更多
China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch ...China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch in March arrived in 111 health and affixed with medical records,notes or cash.展开更多
文摘Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit property damage caused byfloods.The massive amount of data generated by social media platforms such as Twitter opens the door toflood analysis.Because of the real-time nature of Twitter data,some government agencies and authorities have used it to track natural catastrophe events in order to build a more rapid rescue strategy.However,due to the shorter duration of Tweets,it is difficult to construct a perfect prediction model for determiningflood.Machine learning(ML)and deep learning(DL)approaches can be used to statistically developflood prediction models.At the same time,the vast amount of Tweets necessitates the use of a big data analytics(BDA)tool forflood prediction.In this regard,this work provides an optimal deep learning-basedflood forecasting model with big data analytics(ODLFF-BDA)based on Twitter data.The suggested ODLFF-BDA technique intends to anticipate the existence offloods using tweets in a big data setting.The ODLFF-BDA technique comprises data pre-processing to convert the input tweets into a usable format.In addition,a Bidirectional Encoder Representations from Transformers(BERT)model is used to generate emotive contextual embed-ding from tweets.Furthermore,a gated recurrent unit(GRU)with a Multilayer Convolutional Neural Network(MLCNN)is used to extract local data and predict theflood.Finally,an Equilibrium Optimizer(EO)is used tofine-tune the hyper-parameters of the GRU and MLCNN models in order to increase prediction performance.The memory usage is pull down lesser than 3.5 MB,if its compared with the other algorithm techniques.The ODLFF-BDA technique’s performance was validated using a benchmark Kaggle dataset,and thefindings showed that it outperformed other recent approaches significantly.
文摘Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD34+ cells using a retrovirus vector with the aid of recombinant fibro nectin fragments in the presence of a cocktail of cytokines (SCF,IL-6,sIL-6R,F L,and TPO).Colony-forming units-megakaryocyte (CFU-MK) assays were performed as IL-6 gene transduced CD34+ cells were incubated alone or in combination with I L -3 or sIL-6R, controlled with neoR gene transduced CD34+ cells.Result s :IL-6 alone or sIL-6R alone stimulated few CFU-MK colonies,the addit ion of sIL-6R to IL-6 gene transduced CD34+ cells significantly enhanced the prod uction of CFU-MK colonies.IL-6 gene transduced CD34+ cells showed a modest syn er gistic effect with IL-3.Conclusion:These results suggest that IL-6 gene transfer may protect patients from chemotherapy-induced thrombocytop en ia.
基金The work was supported by the National Natural Science Foundation of China under grant No.69773029 and theNational '863' High-
文摘Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexible human-to-computer and human-to-human interactions while maintaining the consistency of the system. This paper summarizes previ- ous researches on this topic and points out the deficiencies of the existing results. A novel semantics-based concurrency control framework, oodOPT is proposed. The main idea of the framework is to resolve conflicts by utilizing semantics of the operations and the accessed data objects. With this approach, complexities in concurrency control are shifted completely from application developers to the framework. Conflicts among operations on objects with different semantics and the strategies resolving these conflicts are analyzed. After describing the algo- rithm in full detail, the discussion ends up with a comparison with other related work and some considerations for open problems.
文摘China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch in March arrived in 111 health and affixed with medical records,notes or cash.
文摘反距离加权插值方法(Inverse Distance Weighted,IDW)是生成数字高程模型(Digital Elevation Model,DEM)的常用内插手段之一,不同的地形应使用合适的IDW距离指数进行插值。本文选取了平原、丘陵、小起伏山地、中起伏山地和大起伏山地5种地形,设计了2组试验,从地形宏观形态和地形微观形态2个方面研究了地形对IDW插值中最优距离指数(Optimal order of distances,OOD)的影响。首先使用狼群算法(Wolf pack algorithm,WPA)计算不同地形区下IDW插值的OOD,分析不同地形之间OOD的分布差异;其次选取坡度、坡向、曲率3个地形因子,计算各采样点的OOD,分析不同地形因子对采样点OOD的影响。结果表明,从平原地区到大起伏山地地区,随着区域内地形起伏度的增加,OOD减小。采样点的OOD在高值区的占比随坡度增大而减小;OOD随坡向变化差异不大;随着地形曲率的增大,OOD在高值区的占比增加,在低值区的占比减小。在较为平坦的地区,例如平原地区,丘陵地区建议使用OOD在3≤a≤4范围内取值进行IDW插值,而在小起伏山地、中起伏山地和大起伏山地等山地区建议采用OOD在1≤a≤2范围内取值进行IDW插值。
