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Institution

Adama University

EducationNazrēt, Ethiopia
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.


Papers
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Journal ArticleDOI
TL;DR: In this article, a review article focuses on numerous state-of-the-art modification methods for vanadium redox flow batteries (VRFBs) electrodes, including those based on carbon materials, metal and metal oxide-based materials, and metal oxides/carbon composite materials.
Abstract: As one of the most promising electrochemical energy storage systems, vanadium redox flow batteries (VRFBs) have received increasing attention owing to their attractive features for large-scale storage applications. However, their high production cost and relatively low energy efficiency still limit their feasibility. One of the critical components of VRFBs that can significantly influence the effectiveness and final cost is the electrode. Therefore, the development of an ideal electrocatalyst with low cost, high electrical conductivity, large active surface area, good chemical stability, and excellent electrochemical reaction activity toward the VO2+/VO2+ and V2+/V3+ redox reactions is essential for the design of VRFBs. Extensive research has been carried out on electrode modification routes for VRFBs to improve the energy density and overall performance for large-scale applications. This review article focuses on numerous state-of-the-art modification methods for VRFB electrodes, including those based on carbon materials, metal and metal oxide-based materials, and metal oxide/carbon composite materials. The challenges in the development of electrode materials and future research directions are also proposed.

27 citations

Book ChapterDOI
25 Sep 2017
TL;DR: In this article, the features dimensionality was reduced using Principal Component Analysis (PCA) and the reduced features were given to the KNN to classify mammograms as normal or abnormal using 10-fold cross-validation.
Abstract: Breast cancer is the most common cause of death among women in the entire world and the second cause of death after lung cancer. The use of automatic breast cancer detection and classification might possibly enhance the survival rate of the patients through starting early treatment. In this paper, the convolutional Neural Networks (CNN) based feature extraction method is proposed. The features dimensionality was reduced using Principal Component Analysis (PCA). The reduced features are given to the K-Nearest Neighbors (KNN) to classify mammograms as normal or abnormal using 10-fold cross-validation. The experimental result of the proposed approach performed on Mammography Image Analysis Society (MIAS) and Digital Database for Screening Mammography (DDSM) datasets were found to be promising compared to previous studies in the area of image processing, artificial intelligence and CNN with an accuracy of 98.75\(\%\) and 98.90\(\%\) on MIAS and DDSM dataset respectively.

27 citations

Journal ArticleDOI
TL;DR: The results confirmed that the excited state of the hydroxycinnamic compounds is more polarized than that of the ground state and therefore is more sensitive to the solvent.
Abstract: The effects of solvent polarity on absorption and fluorescence spectra of biologically active compounds (chlorogenic acid (CGA) and caffeic acids (CA)) have been investigated In both spectra pronounced solvatochromic effects were observed with shift of emission peaks larger than the corresponding UV-vis electronic absorption spectra From solvatochromic theory the ground and excited-state dipole moments were determined experimentally and theoretically The differences between the excited and ground state dipole moment determined by Bakhshiev, Kawski–Chamma–Viallet and Reichardt equations are quite similar The ground and excited-state dipole moments were determined by theoretical quantum chemical calculation using density function theory (DFT) method (Gaussian 09) and were also similar to the experimental results The HOMO-LUMO energy band gaps for CGA and CFA were calculated and found to be 41119 and 18732 eV respectively The results also indicated the CGA molecule is more stable than that of CFA It was also observed that in both compounds the excited state possesses a higher dipole moment than that of the ground state This confirms that the excited state of the hydroxycinnamic compounds is more polarized than that of the ground state and therefore is more sensitive to the solvent Copyright © 2015 John Wiley & Sons, Ltd

27 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of human activities on the magnetic susceptibility and frequency dependent susceptibility was investigated on top soil samples from, a commercial area, a motor park and a school environment in Jalingo, Taraba State, N-E Nigeria.
Abstract: An investigation of the effect of some human activities on the magnetic susceptibility and frequency dependent susceptibility was conducted on top soil samples from, a commercial area, a motor park and a school environment in Jalingo, Taraba State, N-E Nigeria. The purpose was to assess the variation of magnetic susceptibility with different land use, detect pollution hotspots using magnetic proxy parameters and evaluate the contribution of superparamagnetic (SP) grain size contribution to the magnetic susceptibility from calculation of the frequency dependence of magnetic susceptibility (MS). The results of the mass specific low frequency magnetic susceptibility measurements showed significant enhancement with values ranging from 67.8 - 495.3 x 10 -8 m 3 kg -1 with a mean value of 191.61 x 10 -8 m 3 kg -1

27 citations

Journal ArticleDOI
01 Jan 2021
TL;DR: In this paper, the authors reported the synthesis of medicinal plant, Vernonia amygdalina Del. mediated green copper oxide nanoparticles (VeA-CuO NPs).
Abstract: We report the synthesis of medicinal plant, Vernonia amygdalina Del. mediated green copper oxide nanoparticles (VeA-CuO NPs). The presence of two absorbance maxima, λmax 1 and λmax 2 at 436 nm and 452 nm, respectively confirms a mixture of biomolecules surface amalgamated CuO NPs with different morphological features. The FT-IR spectra of the plant leaf extract and VeA-CuO confirmed the efficient role of biomolecules as capping and stabilising agents. The XRD patterns of NPs approved high crystallinity of CuO. The purity of the NPs was corroborated by SEM-EDAX analysis. The average particle size of the NPs was found to be 19.68 nm. In addition, the combined TEM, HRTEM and SAED analysis substantiated the presence of CuO with a d-spacing value of 0.2854 nm, which conformed to CuO (1 1 1). The antibacterial assay revealed that VeA-CuO NPs were synergistic in their influence versus bacterial strains, S. aureus, E. coli, P. aeruginosa, and E. aerogenes. The uppermost zone of inhibition of 15 mm was observed for E. aerogenes. The bioactive compounds capped around the CuO NPs served the effective role in disrupting the cell wall of bacterial strains. The degradation efficiencies for Indigo carmine (IC) and Malachite green (MG) dyes by NPs were found to be 95% and 91%, respectively. The lowest degradation half-life was recorded to be 16.55 min for MG dye. In addition, the better electrode stability revealed by CV and EIS studies, confirms the multi-functional nature of VeA-CuO NPs, these CuO NPs exhibited multifunctional applications.

27 citations


Authors

Showing all 856 results

NameH-indexPapersCitations
Delfim F. M. Torres6070114369
Trilok Singh5437310286
Dattatray J. Late4620511647
Jung Ho Je403286264
Gobena Ameni372074732
Jong Heo372555289
Mahendra A. More362684871
Gyanendra Singh322483198
Dilip S. Joag301273014
Tesfaye Biftu281293225
Salmah Ismail22792151
Rabab Mohammed21921785
Mooha Lee1649821
T. Ganesh1526735
Pandi Anandakumar1518777
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202226
2021332
2020203
2019125
2018101