The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects assoc...The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects associated with the shapes of Arabic numeral to produce marvelous imagination,MMOASAPMI).The results indicated as follows:Firstly,the postgraduates,who applied the MMOASAPMI to memorize and recall the Everyday English from 30 to 100,could recite them well in sequence backward,forward,and randomly.The reaction time of reciting any sentence randomly is no more than 2 seconds.Secondly,it can transform the materials of the short-term memory into long-term memory quickly,and effectively prevent them from the interference of proactive and retroactive inhibition,so it is useful for keeping memorized information with less loss and remaining for a long period.Thirdly,with the materials in strong sequence,large quantities and the difficulty to memorize,it is an extremely effective method for memorizing them.Fourthly,the keys to improving the memory efficiency are the well-storing skills of memory,storing methods,and memory clues.展开更多
Natural disasters not only result in financial loss but also the human lives. The failure of the existing buildings is one of the primary concerns for the damage to human lives. In order to plan a disaster free city p...Natural disasters not only result in financial loss but also the human lives. The failure of the existing buildings is one of the primary concerns for the damage to human lives. In order to plan a disaster free city proper planning of the buildings ＆ infrastructure along with the associated information of non-spatial attributes are needed. The present paper highlights the application of satellite imagery for feature extraction and storing the associated database in GIS environment which is useful for decision making in real time disaster management. The complete methodology is elaborated with the help of a case study for earthquake risk assessment of Maharashtra Industrial Development Corporation （MIDC）, Akola, Maharashtra, India region. For the better and precise work 0.5 m. resolution imagery is utilized for extracting the buildings ＆ other infrastructure features. The structural and non-structural details of the buildings are stored as back end for possible vulnerability assessment, suitable planning and preparedness against the hazard. The extracted building features in the planned area have been given suitable weightages for Vulnerability Indexing. Based on suggested indexing approach possible retrofitting measures from the developed database can be recommended for the existing buildings in the proposed location of research. The proposed approach can further be extended for the entire infrastructure of the nation where the centralized data can be made available with Emergency Operation Centre for further planning ＆ preparedness to make the nation disaster free.展开更多
文摘The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects associated with the shapes of Arabic numeral to produce marvelous imagination,MMOASAPMI).The results indicated as follows:Firstly,the postgraduates,who applied the MMOASAPMI to memorize and recall the Everyday English from 30 to 100,could recite them well in sequence backward,forward,and randomly.The reaction time of reciting any sentence randomly is no more than 2 seconds.Secondly,it can transform the materials of the short-term memory into long-term memory quickly,and effectively prevent them from the interference of proactive and retroactive inhibition,so it is useful for keeping memorized information with less loss and remaining for a long period.Thirdly,with the materials in strong sequence,large quantities and the difficulty to memorize,it is an extremely effective method for memorizing them.Fourthly,the keys to improving the memory efficiency are the well-storing skills of memory,storing methods,and memory clues.
文摘Natural disasters not only result in financial loss but also the human lives. The failure of the existing buildings is one of the primary concerns for the damage to human lives. In order to plan a disaster free city proper planning of the buildings ＆ infrastructure along with the associated information of non-spatial attributes are needed. The present paper highlights the application of satellite imagery for feature extraction and storing the associated database in GIS environment which is useful for decision making in real time disaster management. The complete methodology is elaborated with the help of a case study for earthquake risk assessment of Maharashtra Industrial Development Corporation （MIDC）, Akola, Maharashtra, India region. For the better and precise work 0.5 m. resolution imagery is utilized for extracting the buildings ＆ other infrastructure features. The structural and non-structural details of the buildings are stored as back end for possible vulnerability assessment, suitable planning and preparedness against the hazard. The extracted building features in the planned area have been given suitable weightages for Vulnerability Indexing. Based on suggested indexing approach possible retrofitting measures from the developed database can be recommended for the existing buildings in the proposed location of research. The proposed approach can further be extended for the entire infrastructure of the nation where the centralized data can be made available with Emergency Operation Centre for further planning ＆ preparedness to make the nation disaster free.
