1,166 research outputs found

    Ethiopia’s Investment Prospects: A Sectoral Overview*

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    Ethiopia is in the midst of a sustained growth surge that is becoming increasingly broadbased, building on major improvements in educational attainment, improved health outcomes, and infrastructure capacity in terms of access to power, transportation and telecommunications. The Government’s Growth and Transformation Plan sets ambitious targets for further improvements in these areas, together with significant reforms aiming to improve trade logistics, by rolling-out the authorized economic operator program across export-oriented industry parks and improving the main export corridor to Djibouti. This industrialization push coincides with global trends that provide Ethiopia an opportunity to integrate its economy into the modern “Made in the World” production system, including by attracting labor-intensive production, which is leaving China and other East Asian economies due to their rising wage rates. This paper considers Ethiopia’s prospects to succeed in this endeavor. It reviews overall economic management and performance indicators and provides a horizontal overview of the investment framework. It then summarizes the investment prospects in several major sectors of the economy, in light of Ethiopia’s emerging capacities and global developments: agriculture, mining, oil & gas, economic infrastructure, manufacturing, and selected services, including health and tourism. Keywords: Ethiopia, investment, growth and transformation pla

    Effect of Eucalyptus camaldulensis stand Conversion into Crop Production on Growth and Yield of Maize: the case of Koga Watershed Areas in northwestern Ethiopia

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    Farmers in the highlands of Ethiopia commonly plant eucalypts on their farmlands. However, growing eucalypt is becoming a great concern due to its alleged long-term site effect. In view of this, a study was conducted in Koga watershed, northwestern Ethiopia, to investigate whether croplands afforested with Eucalyptus camaldulensis can be reused for annual crop production after its removal. In this study, we compared growth and yield of maize between adjacent clear-felled E. camaldulensis stands and continuously cultivated farms at three paired sites. Plant height, leaf area, dry matter production and grain weight were evaluated as parameters for maize growth and yield. Maize plants grown on clear-felled eucalypt stands were taller and developed larger leaf areas than those grown on  continuously cultivated farms. Dry matter production and grain yield were also significantly higher in maize plants established on clear-felled eucalypt stands. Farmers also responded that the growth and yield of maize grown on the clear-felled eucalypt stands were better than those grown on continuously cultivated farms. The results suggest that contrary to the popular belief, agricultural lands afforested with eucalypts can be re-used for annual crop production.Keywords: Clear-felled stands, Croplands, Crop performance, Farmers’ perception, Ethiopia

    Sign Pattern Matrices That Require Almost Unique Rank

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    A sign pattern matrix is a matrix whose entries are from the set {+,-, 0}. For a real matrix B, sgn(B) is the sign pattern matrix obtained by replacing each positive respectively, negative, zero) entry of B by + (respectively, -, 0). For a sign pattern matrixA, the sign pattern class of A, denoted Q(A), is defined as { B : sgn(B)= A }. The minimum rank mr(A)(maximum rank MR(A)) of a sign pattern matrix A is the minimum (maximum) of the ranks of the real matrices in Q(A). Several results concerning sign patterns A that require almost unique rank, that is to say, the sign patterns A such that MR(A)= mr(A)+1 are established. In particular, a complete characterization of these sign patterns is obtained. Further, the results on sign patterns that require almost unique rank are extended to sign patterns A for which the spread is d =MR(A)-mr(A)

    Predictors of Treatment Seeking Intention among People with Cough in East Wollega, Ethiopia Based on the Theory of Planned Behavior: A Community Based Cross -Sectional Study

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    Background: Early treatment seeking for cough is crucial in the prevention and control of Tuberculosis. This study was intended to assess treatment seeking intention of people with cough of more than two weeks, and to identify its predictors.Methods: A community based cross-sectional study was conducted among 763 individuals with cough of more than two weeks in East Wollega Zone from March 10 to April 16, 2011. Study participants were selected from eighteen villages by cluster sampling method. Data collection instruments were developed according to the standard guideline of the theory of planned behavior. The data were analyzed with SPSS 16.0. Multiple linear regression was used to identify predictors.Results: Mean score of intention was found to be 12.6 (SD=2.8) (range of possible score=3-15). Knowledge (β=0.14, 95%CI: 0.07-0.2), direct attitude (β=0.31, 95%CI: 0.25-0.35), belief-based attitude (β=0.03, 95%CI: 0.02-0.06) and perceived subjective norm (β=0.22, 95%CI: 0.13 -0.31) positively predicted treatment seeking intention. However, perceived behavioral control and control belief were not significantly associated with treatment seeking intention (p>0.05). Being smoker (β=-0.97, 95%CI:-1.65- (-0.37)) and higher family income (β=-0.06, 95%CI:-0.07-(-0.01) were significantly associated with lower treatment seeking intention.Conclusion: TPB significantly predicted treatment seeking intention among the study participants. Attitude and silent beliefs held by the respondents play an important role and should be given emphasize in prevention and control of Tuberculosis.Keywords: Tuberculosis, Cough, Intention, Treatment, Theory of Planned Behavio

    Nutritional, eco-physiological and symbiotic characteristics of rhizobia nodulating faba bean (Vicia faba L.) collected from acidic soils of Ethiopia

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    Characterization of root nodule bacteria is used for selecting and using them as inoculants to improve legume production. To this end, faba bean (Vicia faba L.) rhizobia were isolated from nodules collected from acidic soils of Central and Southern-Western parts of Ethiopia. A total of hundred rhizobial isolates were collected and characterized based upon their nutritional, ecophysiological and symbiotic characteristics. The isolates produced low to copious amount of extracellular polysaccharides (EPS) and attain colony sizes ranging from 2 to 7 mm with generation time ranging 0.75 to 3.9 h. Most of the isolates were grown at different pH levels ranging 4.5 to 7.0 and temperatures between 4 and 45°C. They were also capable of growing on many carbon sources and most of the nitrogen sources, and showed significant variations in resisting different types of antibiotics and heavy metals. Based on symbiotic efficiency (SE), 56% of the isolates were found to be very effective when applied with both Degaga and Dosha varieties. All taken together, two isolates, HUGAVf1 and HUCDVf5 were nutritionally versatile, showed a wide range of tolerance to the stress in many of the ecophysiological characters and very effective symbiotic performance should be utilized in future faba bean inoculants production.Key words: Rhizobium leguminosarum biovar. viceae, antibiotic tolerance, carbon utilization, fast growing, heavy metals, temperature tolerance

    Extending Adjuvant Endocrine Therapy for 10 Years: A Mixed-Methods Analysis of Women's Decision Making in an Online Breast Cancer Forum

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    An additional 5 years of treatment with adjuvant hormonal therapy, to complete 10 years of medication, is recommended to reduce the risk of breast cancer recurrence. Yet professionals and patients should balance this benefit against side effects and toxicities. Little is known about women's decision making regarding persistence with extended endocrine therapy. In this study, we collected data from a UK online breast cancer forum to analyse patterns of persistence and its associated factors. A mixed-methods exploratory sequential design was used, with a qualitative analysis of text (n = 61 individuals) informing the development of a quantitative instrument to statistically analyse the prevalence of the findings (n = 130). Our findings identified three different groups of women who had to make decisions regarding persistence with treatment: those about to complete 5 years of therapy, those who decided to extend treatment, and those who were initially prescribed 10 years. Factors affecting persistence were, lack of self-efficacy in managing side effects, lack of reassurance about individual risk of recurrence, and impact on quality of life. Interventions such as training of healthcare professionals including risk communication, medication reviews by clinical pharmacists, and re-planning of services in follow-up care, should better support women's needs in extended hormonal therapy

    High-Responsivity Graphene-Boron Nitride Photodetector and Autocorrelator in a Silicon Photonic Integrated Circuit

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    Graphene and other two-dimensional (2D) materials have emerged as promising materials for broadband and ultrafast photodetection and optical modulation. These optoelectronic capabilities can augment complementary metal-oxide-semiconductor (CMOS) devices for high-speed and low-power optical interconnects. Here, we demonstrate an on-chip ultrafast photodetector based on a two-dimensional heterostructure consisting of high-quality graphene encapsulated in hexagonal boron nitride. Coupled to the optical mode of a silicon waveguide, this 2D heterostructure-based photodetector exhibits a maximum responsivity of 0.36 A/W and high-speed operation with a 3 dB cut-off at 42 GHz. From photocurrent measurements as a function of the top-gate and source-drain voltages, we conclude that the photoresponse is consistent with hot electron mediated effects. At moderate peak powers above 50 mW, we observe a saturating photocurrent consistent with the mechanisms of electron-phonon supercollision cooling. This nonlinear photoresponse enables optical on-chip autocorrelation measurements with picosecond-scale timing resolution and exceptionally low peak powers

    estMOI: estimating multiplicity of infection using parasite deep sequencing data.

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    Individuals living in endemic areas generally harbour multiple parasite strains. Multiplicity of infection (MOI) can be an indicator of immune status and transmission intensity. It has a potentially confounding effect on a number of population genetic analyses, which often assume isolates are clonal. Polymerase chain reaction-based approaches to estimate MOI can lack sensitivity. For example, in the human malaria parasite Plasmodium falciparum, genotyping of the merozoite surface protein (MSP1/2) genes is a standard method for assessing MOI, despite the apparent problem of underestimation. The availability of deep coverage data from massively parallizable sequencing technologies means that MOI can be detected genome wide by considering the abundance of heterozygous genotypes. Here, we present a method to estimate MOI, which considers unique combinations of polymorphisms from sequence reads. The method is implemented within the estMOI software. When applied to clinical P.falciparum isolates from three continents, we find that multiple infections are common, especially in regions with high transmission
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