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| 1 | Coupled consolidation and contaminant transport model for simulating migration of contaminants through the sediment and a cap 显示文摘 | Feleke Arega Earl Hayte | 2008 | Applied Mathematical Modelling2008，32，11： | 1 |
| 2 | Productivity growth and the effects of R&D in African agriculture显示文摘 | AREGA D ALENE | 2010 | Agricultural Economics2010，41，34： | 1 |
| 3 | Environmental management of marine fish culture in Hong Kong显示文摘 | Lee J H W Choi K W Arega F | 2003 | Marine pollution Bulletin2003，，47： | 1 |
| 4 | Farmer- to- farmer Technology Diffusion and Yield Variation Among Adopters: TheCase of Improved Cowpea in Northern Nigeria显示文摘 | Alene Arega D Manyong V M | 2006 | Agricultural Economics2006，35，2： | 1 |
| 5 | Influence of Warm-mix Additives and Reduced Aging on the Rheological of Asphalt Binders with Different Natural Wax Contents显示文摘 | Zelalem Arega Bhasin A Motamed A | 2011 | Canadian Journal of Civil Engineering2011，23，10： | 1 |
| 6 | Coupled consolidation andcontaminant transport model for simulating migration ofcontaminants through the sediment and a cap显示文摘 | AREGA F HAYTER E | 2008 | AppliedMathematical Modeling2008，32，： | 1 |
| 7 | The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis显示文摘 | Arega D. Alene V. M. Manyong | 2007 | Empirical Economics2007，，1： | 1 |
| 8 | Eutrophication dynamics of Tolo Harbour,Hong Kong显示文摘 | LEE J H W and AREGA F | 1999 | Marine Pollution Bulletin1999，39，112： | 1 |
| 9 | Modeling of residence time in the East Scott Creek Estuary, South Carolina, USA显示文摘 | Feleke Arega Straud Armstrong A.W. Badr | 2008 | Journal of Hydro-environment Research2008，，2： | 1 |
| 10 | Rural households’ livelihood vulnerability to climate variability and extremes: a livelihood zone-based approach in the Northeastern Highlands of Ethiopia显示文摘Background:The adverse effects of climate variability and extremes exert increasing pressure on rural farm households whose livelihoods are dependent on nature.However,integrated and area-specific vulnerability assessments in Ethiopia in general and the study area,in particular,are scarce and insufficient for policy implications.Therefore,this study aims to quantify,map,classify,and prioritize the level of vulnerability in terms of the components of exposure,sensitivity,and adaptive capacity in the Northeastern Highlands of Ethiopia.The study area is divided into six livelihood zones,namely,Abay-Beshilo Basin(ABB),South Wollo and Oromia eastern lowland sorghum and cattle(SWS),Chefa Valley(CHV),Meher-Belg,Belg,and Meher.A total of 361 sample households were selected using proportional probability sampling techniques.Survey questionnaire,key informant interview,and focus group discussions were used to collect the necessary data.Rainfall and temperature data were also used.Following the IPCC’s climate change vulnerability assessment approach,the climate vulnerability index(CVI)framework of Sullivan and Meigh’s model was used to assess the relative vulnerability of livelihoods of rural households.Twenty-four vulnerability indicators were identified for exposure,sensitivity,and adaptive capacity components.In this regard,Iyengar and Sudarshan’s unequal weighting system was applied to assign a weight to indicators.Results:The results revealed that Belg and Meher were found to be the highest exposure livelihood zones to vulnerability with an aggregated value of 0.71.Equally,SWS,ABB,Belg,and CHV livelihood zones showed moderate level of sensitivity to vulnerability with an aggregated value between 0.45 and 0.60.The study noted that livelihood zone of Belg(0.75)was found to be at high level of livelihood vulnerability.ABB(0.57)and CHV(0.45)were at a moderate level of livelihood vulnerability while Meher-Belg(0.22)was the least vulnerable livelihood zone due to a high level of adaptive capacity such as infrastructure,asset accumulation,and social networks Conclusion:It was identified that disparities of livelihood vulnerability levels of rural households were detected across the study livelihood zones due to differences in the interaction of exposure,sensitivity,and adaptive capacity components.The highest levels of exposure and sensitivity combined with low level of adaptive capacity have increased households’livelihood vulnerability.More importantly,the biophysical and socioeconomic sensitivity to livelihood vulnerability were exacerbated by slope/topography,soil erodibility,and population pressure.Therefore,designing livelihood zone-based identifiable adaptation strategies are essential to reduce the exposure and sensitivity of crop-livestock mixed agricultural systems to climate calamity. | Abebe Arega Mekonen Arega Bazezew Berlie | 2021 | Ecological Processes2021，10，1： | 1 |
| 11 | Farmer- to- farmer Technology Diffusion and Yield Variation Among Adopters: TheCase of Improved Cowpea in Northern Nigeria显示文摘 | Alene Arega D Manyong V M | 2006 | Agricultural Economics2006，35，2： | 1 |
| 12 | Classification and Detection of Amharic Language Fake News on Social Media Using Machine Learning Approach显示文摘The pervasive idea of web-based media stages brought about a lot of sight and sound information in interpersonal organizations.The transparency and unlimited way of sharing the data via online media stage encourages data spread across the organization paying little mind to its noteworthiness.The multiplication of misdirecting data in regular access news sources,for example,web-based media channels,news websites,and online papers has made it trying to recognize dependable news sources,in this way expanding the requirement for computational devices to give bits of knowledge into the unwavering quality of online substance.The broad spread of phony news contrarily affects people and society.Along these lines,counterfeit news identification via web-based media has as of late become arising research drawing in enormous consideration.Observing the possible damage caused by the rapid spread of fake news in various fields such as politics and finance,the use of language analysis to automatically identify fake news has attracted the attention of the research community.A social networking service is a platform for people with similar interests,activities,or backgrounds to form social networks or social relations.Participants who register on this site with its own expression(often a profile)and social links are generally offered a social network service. | Kedir Lemma Arega | 2022 | Electrical Science & Engineering2022，4，1： | 0 |
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