A new design of a bioelectric amplifier that has better parameters than conventional designs is presented. The design allows the construction of bioelectric amplifier with improved parameters in terms of common-mode r...A new design of a bioelectric amplifier that has better parameters than conventional designs is presented. The design allows the construction of bioelectric amplifier with improved parameters in terms of common-mode rejection ratio and phase and magnitude errors. The voltage gain is easily adapted to a wide range of biomedical applications. The experimental and simulation results of the designed bioelectric amplifier are also included.展开更多
Commentary The 21st century presents unprecedented challenges and opportunities to nursing.The explosion of information and technology,globalisation of health care,global nursing shortage,complexity of needs of client...Commentary The 21st century presents unprecedented challenges and opportunities to nursing.The explosion of information and technology,globalisation of health care,global nursing shortage,complexity of needs of clients with diverse cultural and socioeconomic backgrounds have driven nursing to rethink its model of care delivery.There is also an increasing demand for accountability for professional practice and effective use of the finite resources.These challenges are changing the milieu of nursing.There is a need to enhance the quality of nursing practice through research.展开更多
The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey dat...The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey data and GIS.A total of 40 soil samples from Tulaipanji rice fields(from 0 to 40 cm depth)have been randomly collected for the analysis of the soil health condition.For the purpose of assigning ratings to the parameters,ten experts'opinions were taken into account.The final soil fertility map indicates that 18.01%of the land is in excellent health condition to support Tulaipanji cultivation.The artificial neural networks(ANN),support vector machine(SVM),and Bagging models-based suitability analysis was also done using geo-spatial and soil data for Tulaipanji cultivation.Nevertheless,the ANN is the more appropriate model for locational analysis of Tulaipanji cultivation.The ANN-based findings show that areas of 25.8%(77.89 sq.km)are excellent for growing Tulaipanji rice,about 22.01%(66.45 sq.km)are highly suitable,19.84%(59.90 sq.km)are moderately suitable,21.19%(63.97 sq.km)are low suitable and 11.16%(33.69 sq.km)are not suitable for Tulaipanji rice cultivation.The receiver operating characteristic(ROC)curve depicts that the applied models have a high degree of accuracy.This endeavour will aid much in the soil fertility and site suitability assessment that will aid local government officials,academics,and the framers,to utilize the lands in a scientific way.展开更多
文摘A new design of a bioelectric amplifier that has better parameters than conventional designs is presented. The design allows the construction of bioelectric amplifier with improved parameters in terms of common-mode rejection ratio and phase and magnitude errors. The voltage gain is easily adapted to a wide range of biomedical applications. The experimental and simulation results of the designed bioelectric amplifier are also included.
文摘Commentary The 21st century presents unprecedented challenges and opportunities to nursing.The explosion of information and technology,globalisation of health care,global nursing shortage,complexity of needs of clients with diverse cultural and socioeconomic backgrounds have driven nursing to rethink its model of care delivery.There is also an increasing demand for accountability for professional practice and effective use of the finite resources.These challenges are changing the milieu of nursing.There is a need to enhance the quality of nursing practice through research.
文摘The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey data and GIS.A total of 40 soil samples from Tulaipanji rice fields(from 0 to 40 cm depth)have been randomly collected for the analysis of the soil health condition.For the purpose of assigning ratings to the parameters,ten experts'opinions were taken into account.The final soil fertility map indicates that 18.01%of the land is in excellent health condition to support Tulaipanji cultivation.The artificial neural networks(ANN),support vector machine(SVM),and Bagging models-based suitability analysis was also done using geo-spatial and soil data for Tulaipanji cultivation.Nevertheless,the ANN is the more appropriate model for locational analysis of Tulaipanji cultivation.The ANN-based findings show that areas of 25.8%(77.89 sq.km)are excellent for growing Tulaipanji rice,about 22.01%(66.45 sq.km)are highly suitable,19.84%(59.90 sq.km)are moderately suitable,21.19%(63.97 sq.km)are low suitable and 11.16%(33.69 sq.km)are not suitable for Tulaipanji rice cultivation.The receiver operating characteristic(ROC)curve depicts that the applied models have a high degree of accuracy.This endeavour will aid much in the soil fertility and site suitability assessment that will aid local government officials,academics,and the framers,to utilize the lands in a scientific way.
