Adama University

About: Adama University is a education organization based out in Nazrēt, Ethiopia. It is known for research contribution in the topics: Population & Adsorption. The organization has 840 authors who have published 1010 publications receiving 5547 citations. The organization is also known as: Adama Science and Technology University & ቴክኖሎጂ ዩኒቨርሲቲ, አዳማ ሳይንስና ቴክኖሎጂ ዩኒቨርሲቲ.

Determination of Water Requirement and Crop Coefficient for Sugarcane Using Lysimeter Experiment under Semiarid Climatic Conditions of Ethiopia

Abstract: Sugarcane is one of the most important industrial crops grown throughout tropical areas. Sugarcane production is greatly expanding in developing countries like Ethiopia due to increasing de...

Structural analysis of protein translocase subunit SecY from Mycobacterium tuberculosis H37Rv: a potential target for anti-tuberculosis drug discovery

Abstract: Identification of noble drug targets is a very important step in the development of anti-mycobacterial drugs to counter the problem of drug resistance. The availability of structural information of a specified drug target is one of the druggablity criteria. However, many proteins do not have experimentally solved structure in spite of the efforts of structural genomics projects. In this study, structural analysis on a selected potential drug target of Mycobacterium tuberculosis H37Rv has been carried out. Protein translocase subunit SecY (Rv0732) has been selected since it is a highly ranked potential drug target without solved three-dimensional structure. In silico structural analysis has been carried out to get descriptive three-dimensional structure. The models were generated using crystal structure of Secye Translocon from Thermus thermophilus with a fab fragment (2ZJS_Y) as a template. The active site has been identified for protein-inhibitor binding.

A Conceptual Framework for Detection of Learning Style from Facial Expressions using Convolutional Neural Network

Abstract: There are millions of learning materials over the internet that students can use to assimilate new information. But once their preferred learning style is known, they can be provided with a responsive recommendation so that can focus more on representations that will foster their understanding. Providing students with preferred learning object no doubt increase their motivation and hence their learning outcome. Identifying student’s learning styles allows them to learn better and faster through several means. Traditionally, a test (use of questionnaire) is usually conducted for automatic detection and prediction of student’s learning preferences particularly in e-learning. This approach though valid and reliable in detection of learning styles, but it is also associated with many challenges; learner self-report bias, individual earning styles may vary over time, Students not aware of the importance or the future uses of the questionnaire. To this end, this paper proposed a conceptual framework for detection of learning style from facial expression using Convolution neural network.

Transformation of continental lithospheric mantle beneath the East African Rift: constraints from platinum-group elements and Re–Os isotopes in mantle xenoliths from Ethiopia

Abstract: The behavior of sub-continental lithospheric mantle (SCLM) in extensional settings, up to successful rifting, plays an important role in geodynamics and in the global carbon cycle, yet the underlying processes and rates of lithosphere destruction remain poorly constrained. We determined platinum-group element (PGE: Os, Ir, Ru, Pt, and Pd) abundances and Re–Os-isotope systematics for well-characterized mantle xenoliths hosted in Cenozoic basalts from the northwestern plateau (Gundeweyn area) and southern rift zone (Dillo and Megado areas) of Ethiopia to provide new insights on the nature and timing of processes leading to the formation and transformation of the off-cratonic lithospheric mantle beneath the East Africa rift system (EARS). The whole-rock PGE concentrations are highly variable, with total PGE abundances ranging from 6.6 to 12.6 ppb for Gundeweyn, 11.5 to 23.3 ppb for Dillo, and 9.9 to 19.4 ppb for Megado mantle xenoliths. The 187Os/188Os ratios of the whole-rock mantle xenoliths vary from 0.1180 to 0.1287 for Gundeweyn, 0.1238 to 0.1410 for Dillo and 0.1165 to 0.1277 for Megado, compared to 0.130 for the Afar plume and ≥ 0.14 for the Kenya plume, with Re depletion ages up to 1.45 Ga for Gundeweyn, 0.64 Ga for Dillo, and 1.65 Ga for Megado mantle xenoliths. The regional differences between refertilizing agents recorded in mantle xenoliths from the plateau area and the rift systems reflect distinct tectonomagmatic settings: (1) low PGE abundances, with some retention of low 187Os/188Os in Gundeweyn peridotites, are ascribed to scavenging by early small-volume oxidizing melts, generated in the convecting mantle ahead of the arrival of the Afar plume. (2) Percolation of late-stage silicate/basaltic melts, associated with the arrival of hot mantle plume and lithosphere thinning in the rift setting, locally led to refertilization and sulfide precipitation and partial replenishment of the PGE (Dillo), with convecting mantle-like 187Os/188Os. Local enclaves of older, cryptically metasomatised mantle with unradiogenic Os (Megado) attest to the heterogeneous nature of melt–peridotite interaction at this stage (pervasive vs. focused melt flow). Highly depleted abundances of the compatible PGE are characteristic of SCLM affected by incipient rifting and percolation of oxidizing melts, here associated with the Afar and Kenya plume beneath the East Africa rift, and may be precursors to advanced degrees of lithosphere destruction/transformation.

Statistical properties of lomax-inverse exponential distribution and applications to real life data

Abstract: This paper proposes a Lomax-inverse exponential distribution as an improvement on the inverse exponential distribution in the form of Lomax-inverse Exponential using the Lomax generator (Lomax-G family) with two extra parameters to generalize any continuous distribution (CDF). The probability density function (PDF) and cumulative distribution function (CDF) of the Lomax-inverse exponential distribution are defined. Some basic properties of the new distribution are derived and extensively studied. The unknown parameters estimation of the distribution is done by method of maximum likelihood estimation. Three real-life datasets are used to assess the performance of the proposed probability distribution in comparison with some other generalizations of Lomax distribution. It is observed that Lomax-inverse exponential distribution is more robust than the competing distributions, inverse exponential and Lomax distributions. This is an evident that the Lomax generator is a good probability model.