Institution
Adama University
Education•Nazrēt, 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.
Topics: Population, Adsorption, Groundwater, Photocatalysis, Freundlich equation
Papers
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TL;DR: A coupled simulation-optimization approach to optimize an artificial-recharge-pumping system for the water supply in the Maghaway Valley, Cebu, Philippines, is presented in this article.
Abstract: A coupled simulation-optimization approach to optimize an artificial-recharge–pumping system for the water supply in the Maghaway Valley, Cebu, Philippines, is presented. The objective is to maximize the total pumping rate through a system of artificial recharge and pumping while meeting constraints such as groundwater-level drawdown and bounds on pumping rates at each well. The simulation models were coupled with groundwater management optimization to maximize production rates. Under steady-state natural conditions, the significant inflow to the aquifer comes from river leakage, whereas the natural discharge is mainly the subsurface outflow to the downstream area. Results from the steady artificial-recharge–pumping simulation model show that artificial recharge is about 20,587 m3/day and accounts for 77% of total inflow. Under transient artificial-recharge–pumping conditions, artificial recharge varies between 14,000 and 20,000 m3/day depending on the wet and dry seasons, respectively. The steady-state optimisation results show that the total optimal abstraction rate is 37,545 m3/day and artificial recharge is increased to 29,313 m3/day. The transient optimization results show that the average total optimal pumping rate is 36,969 m3/day for the current weir height. The transient optimization results for an increase in weir height by 1 and 2 m show that the average total optimal pumping rates are increased to 38,768 and 40,463 m3/day, respectively. It is concluded that the increase in the height of the weir can significantly increase the artificial recharge rate and production rate in Maghaway Valley.
11 citations
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TL;DR: The information generated in this study could be used by government, agricultural research centers, bean exporters or other stakeholders to enhance production and export of high canning quality common bean varieties.
Abstract: Selection of high canning quality common bean has a paramount importance in canning industryand canning quality is mostly evaluated by using combination of different parameters. The aim of this study was to evaluate the canning quality of common bean varieties together with physico-chemical properties, proximate composition, minerals, phytochemicals and bioavailability of micronutrients. Canning quality was evaluated by using three different canning mediums such as brine, brine with 10 mg kg-1CaCl2 and tomato sauce. In all three canning mediums, the common bean varieties showed significant differences in their canning quality traits. Percentage washed drained weight ranged between 55.05-62.66, 53.44-60.78, 51.34-56.77 for beans canned in brine, brine with 10 mg kg-1 CaCl2 and tomato sauce, respectively. The results revealed the optimum hydration coefficient value of 1.8 for all common bean varieties. Visual appearances, splits, degree of clumping, starchiness, flavor and taste and seed size were also determined through a visual rating procedure as canning quality traits. Awash Melka and Awash-1 bean varieties revealed a good canning quality and Argene bean variety also showed a promising canning quality. However, Chercher and Omer bean varieties were not good enough for canning purpose. Therefore, the information generated in this study could be used by government, agricultural research centers, bean exporters or other stakeholders to enhance production and export of high canning quality common bean varieties.
11 citations
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TL;DR: In this article, a fluorescence sensor was proposed to detect tetracycline (TC) in food samples by using inner filter effect (IFE) between TC and Cs4Pbbr6/CsPbBr3 perovskite material.
11 citations
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TL;DR: In this article, the degradation of methyl orange, which is classified as an acute toxic compound and mutagenic substance, was performed using three bacterial strains from the textile wastewater, and the optimized conditions for the degradation process were found to be 20ppm concentration, pH 7, and temperature 35°C.
Abstract: The present report is based on the degradation of methyl orange, which is categorized as an acute toxic compound and mutagenic substance. Since it is highly solubilized in the environment, it is very challenging to remove. This study is focussed on biological treatment which has the ability to breakdown methyl orange. Three bacterial strains were initially isolated from the textile wastewater. Out of those strains, Aeromonas hydrophila showed maximum degradation of about 85%. The optimized conditions for the degradation process were found to be 20 ppm concentration, pH 7, and temperature 35 °C. The carbon source such as 1% sucrose is found to be appropriate carbon source for the degradation. While nitrogen source suited well was found to be 1% peptone over 1% meat extract. The metabolite obtained after degradation was analyzed using FT-IR and GC-MS. N, N-dimethyl p-phenylenediamine and 4-amino sulfonic acid were identified as the end products.
11 citations
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King Faisal University1, KPMG2, Eastern Connecticut State University3, Okan University4, Gulf University for Science and Technology5, University of South Africa6, Ghent University7, University of Warwick8, University of the Western Cape9, Athabasca University10, European University Cyprus11, Covenant University12, Southern Illinois University Carbondale13, University of Ostrava14, University of Guadalajara15, University of Bologna16, Dankook University17, Griffith University18, Open University19, National University of Mongolia20, Islamic University21, Humboldt University of Berlin22, Fountain University, Osogbo23, Aalborg University24, North Carolina State University25, University of Aveiro26, Anadolu University27, University of New England (United States)28, Royal University of Bhutan29, Katholieke Universiteit Leuven30, Al-Hussein Bin Talal University31, Universiti Teknologi Malaysia32, Charles Sturt University33, University of Western Ontario34, Victoria University, Australia35, RMIT University36, Boise State University37, Dicle University38, Sokoine University of Agriculture39, University of Botswana40, Mohammed V University41, Southern University and A&M College42, Curtin University43, Salzburg Research44, Northern Arizona University45, University of Mauritius46, University of Jyväskylä47, Qassim University48, Maastricht University49, University of Massachusetts Boston50, New Mexico Highlands University51, Open University of Catalonia52, University of Windsor53, Frederick University54, National University of Costa Rica55, University of Auckland56, University of Southern Queensland57, Bharathidasan University58, University of Latvia59, University of Borås60, University of Technology, Mauritius61, Bridgewater State University62, Laval University63, Adama University64, Texas A&M University–Corpus Christi65, Al-Quds Open University66, University of Calabar67, Hacettepe University68, Aksaray University69, University of Wisconsin–Milwaukee70, Indian Institute of Technology Bombay71, Graz University of Technology72, University of Waikato73, Kenyon College74, University of Lahore75, University of Dhaka76, Nazarbayev University77, Aalto University78, Utah State University79, Arizona State University80, Murdoch University81, University of Nevada, Reno82
TL;DR: In this paper, a case study of the academic domain of education and technology is used to examine the functional relationship between the human components (i.e., scholars) and non-human components (e.g., structural configurations) of academic domains.
Abstract: This article theorizes the functional relationship between the human components (i.e., scholars) and non-human components (i.e., structural configurations) of academic domains. It is organized around the following question: in what ways have scholars formed and been formed by the structural configurations of their academic domain? The article uses as a case study the academic domain of education and technology to examine this question. Its authorship approach is innovative, with a worldwide collection of academics (99 authors) collaborating to address the proposed question based on their reflections on daily social and academic practices. This collaboration followed a three-round process of contributions via email. Analysis of these scholars’ reflective accounts was carried out, and a theoretical proposition was established from this analysis. The proposition is of a mutual (yet not necessarily balanced) power (and therefore political) relationship between the human and non-human constituents of an academic realm, with the two shaping one another. One implication of this proposition is that these non-human elements exist as political ‘actors’, just like their human counterparts, having ‘agency’ – which they exercise over humans. This turns academic domains into political (functional or dysfunctional) ‘battlefields’ wherein both humans and non-humans engage in political activities and actions that form the identity of the academic domain.
11 citations
Authors
Showing all 856 results
Name | H-index | Papers | Citations |
---|---|---|---|
Delfim F. M. Torres | 60 | 701 | 14369 |
Trilok Singh | 54 | 373 | 10286 |
Dattatray J. Late | 46 | 205 | 11647 |
Jung Ho Je | 40 | 328 | 6264 |
Gobena Ameni | 37 | 207 | 4732 |
Jong Heo | 37 | 255 | 5289 |
Mahendra A. More | 36 | 268 | 4871 |
Gyanendra Singh | 32 | 248 | 3198 |
Dilip S. Joag | 30 | 127 | 3014 |
Tesfaye Biftu | 28 | 129 | 3225 |
Salmah Ismail | 22 | 79 | 2151 |
Rabab Mohammed | 21 | 92 | 1785 |
Mooha Lee | 16 | 49 | 821 |
T. Ganesh | 15 | 26 | 735 |
Pandi Anandakumar | 15 | 18 | 777 |