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42篇 您的检索式:作者名="Onu"
    题名 作者 年代 出处 被引量
1A Systematic Study of Disaster Risk in Brunei Darussalam and Options for Vulnerability-Based Disaster Risk Reduction显示文摘This systematic study of disaster risk and disaster management efforts in Brunei Darussalam uncovers the reasons why floods and landslides in particular continue to inflict significant social,economic,and psychological toll.Vulnerability to the impacts of hydro-meteorological hazards continue to rise despite international awareness and improved disaster governance and information,and regardless of the vast financial and material resources spent on structural and nonstructural measures for disaster relief and community awareness.Our premise is that,a poor diagnosis of the disaster risk issue is at the root of the disaster risk dilemma in Brunei Darussalam.We conducted our vulnerability-centered disaster risk assessment based largely on the Pressure and Release(PAR) Model proposed by Wisner et al.Our research results reveal that:(1)Hazard-risk in Brunei is high due to the impact of global climate change,the country's local geography,and Brunei's relative location in the Asia–Pacific Region.Limited reporting of localized disasters to international databases however fuels the misperception of low disaster risk in Brunei;(2) High community vulnerability and disaster risk is due to limited knowledge,awareness,and motivation among the general population,which prevents effective mitigation and adaptation to low magnitude but recurrent hazardous events;and(3) Partial incorporation of disasterrisk reduction into governance structures and development plans contributes to heightened disaster risks.Integrated frameworks are proposed that can minimize social vulnerability,reduce disaster risk,and enhance community resilience and adaptive capacity as part of a strengthened governance mechanism.Coupled with improvements in preparedness,response,recovery,and reconstruction promoted by the National Disaster Management Centre(NDMC),vulnerability and disaster risk can be minimized,and a more inclusive and sustainable growth can be generated.Anthony Banyouko Ndah John Onu Odihi 2017International Journal of Disaster Risk Science2017,8,2:2
2Schlieren visualisation and measurement of axisymmetric disturbances显示文摘Sutherland B R Flynn M R Onu K 2003Nonlinear Processes in Geophysics2003,,10:1
3Diffusion abnormality maps in demyelinating disease: Correlations with clinical scores显示文摘Mihaela Onu Adina Roceanu Uta Sboto-Frankenstein Robert Bendic Eugen Tarta Florentin Preoteasa Ovidiu Bajenaru 2011European Journal of Radiology2011,,3:1
4Shear effect in beam finite element on twoparameter elastic foundation 显示文摘Onu G 2000Journal of Structural Engineering2000,126,9:1
5Internal wave excitation by a vertically oscillating sphere 显示文摘Flynn M R Onu K Sutherland B R 2003J Fluid Mech2003,494,:1
6Diffusion tensor imaging (DTI) A new imaging technique applyed in multiple sclerosis 显示文摘Roceanu A Onu M Antochi F 2012Maedica(Buehar)2012,7,4:1
7Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices显示文摘The use of artificial intelligence models in predicting the moisture content reduction in the drying of potato(Ipomoea batata)sliceswas the focus of thiswork.The models used were adaptive neuro fuzzy inference systems(ANFIS),artificial neural network(ANN)and response surface methodology(RSM).The parameters considered were drying time,drying air speed and temperature.The capability and sensitivity analysis of the three models were evaluated using the correlation coefficient(R2)and some statistical error functions such as the average relative error(ARE),root mean square error(RMSE),Hybrid Fractional Error Function(HYBRID)and absolute average relative error(AARE).The result showed that the three models demonstrated significant predictive behaviourwith R2 of 0.998,0.997 and 0.998 for ANFIS,ANN and RSMrespectively.The calculated error functions of ARE(RSM=1.778,ANFIS=1.665 and ANN=4.282)and RMSE(RSM=0.0273,ANFIS=0.0282 and ANN=0.1178)suggested good harmony between the experimental and predicted values.It was concluded that though the three models gave adequate predictions that were in good agreement with the experimental data,the RSM and ANFIS gave better model prediction than ANN.Onu Chijioke Elijah K.Igbokwe Philomena T.Nwabanne Joseph O.Nwajinka Charles E.Ohale Paschal 2020Artificial Intelligence in Agriculture2020,,1:1
8Shear effect in beam 1nite element on two-parameter elastic foundation 显示文摘ONU G 2000Journal of Structural Engineering ASCE2000,126,9:1
9Anti-ulcer activity of the ethanolic extract of Combretum dolichopetalum root显示文摘Asuzu IU Onu OU 0,,1:1
10Preparation of the RuO2TiO2 binety oxide particles by a sol-gel process显示文摘Kameyama K Shohji S Onue S 1993J Elechnchem Soc1993,140,4:1
11Equivalences in the soil-structure interaction显示文摘Onu G 1996Computers & Structures1996,58,2:1
12Shear effect in beam finite element on two- parameter elastic foundation 显示文摘Onu G 2000Journal of Structural Engineering ASCE2000,126,9:1
13Shear Effect in Beam Finite Element on Two Parameter Elastic Foundation 显示文摘ONU G 2000Journal of Structural Engineering2000,126,9:1
14US and MRI in renal obstruction evaluation显示文摘BUDAU M ONU M JINGA V 2002Arch Ital Urol Androl2002,74,2:1
15Diffusion Tensor Imaging (DTI) - A New maging Technique Applyed in Multiple Sclerosis显示文摘Roceanu A Onu M Antochi F 2012Maedica(Buchar)2012,7,4:1
16Regulation of IL-15 secretion via the leader peptide of two IL-15 isoforms 显示文摘Onu A Pohl T Krause H 1997J Immunol1997,158,1:1
17Human cervical spinal cord funicu- li:investigation with magnetic resonance diffusion ten- sor imaging 显示文摘Onu M Gervai P Cohen-Adad J Lawrence J Kornelsen J Tomanek B 2010Magn Reson Imaging2010,31,:1
18Depot medroxyprogesterone in the management of benign prostatichyperplasia显示文摘Onu PE 1995Eur Urol1995,28,3:1
19Preparation of highly positively charged silver Nanoballs and their stability 显示文摘Yonezawa T Onue S Kimizuka N 2000Langmuir2000,16,12:1
20Shear effect in beam finite element on two-parameter elastic foundation 显示文摘Onu G 2000Journal of Structural Engineering2000,126,9:1
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