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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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Momona Ethiopian Journal of Science
Number of Followers: 5  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2073-073X - ISSN (Online) 2220-184X
Published by African Journals Online Homepage  [261 journals]
  • Ruscheweyh – Type Harmonic Functions Associated with Probabilities of
           the Generalized Distribution and Sigmoid Function Defined by q-
           differential Operators

    • Authors: Awolere Ibrahim Taiwo , Oyekan Ezekiel Abiodun
      Pages: 197 - 212
      Abstract: A class of Ruscheweyh – type harmonic functions associated with both sigmoid function and probabilities of the generalized distribution series is defined using differential operators. We then establish properties of the class such as coefficient estimate, distortion theorem, extreme point, and convex combination condition. Several applications of our results are obtained as corollaries by varying various parameters involved.
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Eighth order Predictor-Corrector Method to Solve Quadratic Riccati
           Differential Equations

    • Authors: Wase Kassahun, Alemayehu Shiferaw, Solomon Gebregiorgis
      Pages: 213 - 224
      Abstract: In this paper, the eighth-order predictor-corrector method is presented for solving quadratic Riccati differential equations. First, the interval is discretized and then the method is formulated by using Newton’s backward difference interpolation formula. The stability and convergence of the method have been investigated. To validate the applicability of the proposed method, two model examples with exact solutions have been considered and numerically solved. Maximum absolute errors are presented in tables and figures for different values of mesh size h and the present method gives better results than some existing numerical methods reported in the literature.  
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Identification of Determinant Factors for Car Accident Levels Occurred in
           Mekelle City, Tigray, Ethiopia: Ordered Logistic Regression Model Approach

    • Authors: Hagazi Gebre Meles, Desta Brhanu Gebrehiwot, Fireweini Gebrearegay, Gebretsadik Gebru Wubet, Teodros Gebregergis
      Pages: 225 - 239
      Abstract: The car accident injury level is known to be a result of a complex interaction of factors to drivers’ behavior, vehicle characteristics, and environmental condition. Therefore, it is obvious that identifying the contribution of the factors to the accident injury is very critical. The objective of the study was to perform a descriptive analysis to see the characteristics of car accidents, and to assess the prevalence and determinants of road safety practices in Mekelle City, Tigray, Ethiopia. A random sample of data was extracted from the traffic police office from September 2014 to July 2017. An ordered logistic regression model was used to examine factors that worsen the car accident level. A total sample of 385 car accidents was considered in the study of which 56.7% were fatal, 28.6% serious, and 14.7% slight injury. The model estimation result showed that being experienced drivers (Coef. = 0.686; p-value< = 0.050) were found to increase the level of injury. On the other hand, being private vehicle (Coef. = -1.160; p-value <= 0.010), the type of accident of vehicle with pedestrian (Coef. = -2.852; p-value <= 0.010), being heavy truck (Coef. = -0.656; p-value <= 0.050), being a cross country bus (Coef. = -0.889; p-value <= 0.050) and being owner of vehicle is the driver himself (Coef. = -.690, p-value <= 0.050) were found to decrease the level of car accident injury severity. In conclusion, it is better to create continued awareness for those who are experienced drivers, who carelessly follow the traffic rules. Special attention is required for government-owned vehicle drivers, as they were found to increase the level of car accident injury through different short-term training.  
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Analysis of the Relationship between Public Schools Distribution and
           Population in Kaduna State, Nigeria

    • Authors: Ezeamaka Cyril Kanayochukwu
      Pages: 240 - 255
      Abstract: The paper was aimed at examining the relationship between the distribution of public primary and secondary schools and the population in Kaduna State. The study used GPS Map 78 to ascertain the location of the schools through field observation. The student population was obtained from the headteacher while the population was obtained from the projected 2006 census figure. A multistage sampling method was adopted to select nine LGAs within the three senatorial zones of the state.  Descriptive statistics using Statistical Package for the Social Sciences (v25), Spearman Rank Correlation, and Pearson Correlation was used for data analysis. The 1907 public schools (1634 public primary and 273 secondary schools) were found. The result revealed that the overall Location Quotient (LQ) value for all public schools (primary, junior and secondary schools) is 1.14 which represents a moderate concentration of public schools. The result showed that Kaduna South LGA has the least LQ (0.23) and is closely followed by Zaria LGA (0.56), while Kajuru LGA has the most concentration of schools with an LQ of 2.2. The result also revealed that LQ for Junior Secondary Schools (JSS) value varies from (1.9) in Kagarko LGA, having the highest concentration of JSS and to 0.5 in Jemaá LGA The Spearman Rank Correlation with the coefficient of 0.188 revealed a weak positive relationship between the provision of public schools and students’ population while Pearson Correlation established a negative relationship between the distribution of public schools and general population with the coefficient of -0.19. The study concluded that there is no relationship between the population and distribution of public schools in Kaduna State.    
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Tree Height Estimation from Unmanned Aerial Vehicle Imagery and Its
           Sensitivity on Above Ground Biomass Estimation in Dry Afromontane Forest,
           Northern Ethiopia

    • Authors: Tigistu Hadush, Atkilt Girma, Amanuel Zenebe
      Pages: 256 - 280
      Abstract: Tree height is a parameter useful for calculating above-ground forest biomass and is mostly measured traditionally by ground survey. On the other hand, measuring the forest tree height and biomass estimation through field survey is labor-intensive and time-consuming. The application of remote sensing for forest above-ground biomass (AGB) estimation without forest destruction is important in order to estimate the carbon sequestration potential of the forest. The unmanned aerial vehicle (UAV) is an elating technology, which can help to estimate tree height and it is evolving at a rapid speed. Moreover, assessing the relationship between estimated and measured tree height is necessary for the future application of estimated tree height on AGB estimation. However, tree height estimation from photogrammetric UAV imagery in the dry Afromontane Forest and its sensitivity to AGB estimation are not investigated. Thus, this study aimed to assess the accuracy of tree height estimated from photogrammetric UAV imagery and the sensitivity of the estimated tree height on AGB estimation. Photogrammetric UAV acquired images and sample trees height measured on the ground were collected in Desa’a dry Afromontane Forest, Northern Ethiopia. Tree height was estimated from photogrammetric UAV acquired images and compared with tree heights measured on the ground. Moreover, the sensitivity of the estimated tree height on AGB estimation was investigated. The estimated tree height explained 89% of the tree height measured in the field. A considerable difference between estimated and measured tree height has an insignificant effect on AGB estimation. Thus, in the dry land Afromontane Forest the application of UAV aerial imagery for tree height estimation is promising to estimate AGB.    
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Assessing the Environmental Impact of Artisanal Gold Mining Activities on
           the Waters and Sediments Around Meli, Northwestern Tigray, Ethiopia

    • Authors: Brhanemeskel Weleabzgi, Tewodros Alemayehu, Samual Estifanos
      Pages: 281 - 299
      Abstract: The paper presents the environmental impact of artisanal gold mining activities on the waters and sediments around Meli, northwestern Tigray, Ethiopia. Stream sediment, water, and tailing samples were collected in the dry season in January of 2019 and analyzed for heavy metals Cu, Zn, Pb, and As. The physicochemical parameters (pH, EC, major cations, and anions) of a few water samples were also measured. Flame atomic absorption spectrometry was used to determine the level of the metals in stream sediments. The results show that tailing has the highest concentration of metals followed by the stream sediments. The least concentrations are recorded in water for all metals. Pb has the highest mean concentration of all heavy metals in stream sediments, waters, and tailing samples. The mean Geo-accumulation Index (Igeo) and Contamination Factor (CF) suggest that the sediment represents uncontaminated to moderately contaminated classes. Concentrations of Cu and Zn in the water samples are generally within the maximum allowable concentration of the WHO, whereas concentrations of Pb and As are above the limit. Metal Index for surface and groundwater suggests that the area is polluted with heavy metals Pb and As. The main sources of the metals are assumed to be the sulfide ores facilitated by natural weathering processes and artisanal mining activities like excavations, crushing, grinding, and amalgamation processes.  The Gibbs and Durov plots show that major hydrogeochemical processes controlling the water chemistry are water-rock interactions with considerable mixing of water types.    
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
  • Challenges and Opportunities of Backyard Poultry Production in Ezha
           District, Gurage Zone of Ethiopia

    • Authors: Mebagebriael Estifanos, Gebrehiwot Tadesse
      Pages: 300 - 313
      Abstract: This study was conducted with the objective of assessing the opportunities and challenges of backyard poultry production at three villages in Ezha district, Gurage Zone of southern Ethiopia using a semi-structured questionnaire, field visit and interview with 150 randomly selected respondents. The dominant chicken production system in the study area was an extensive system (74%) with scavenging and seasonal supplementary feeding (53%). Grains are the main feed used. Almost 65% of poultry share the same room with the main house with perch, the rest 20%, and 15%, respectively, use the different shelters. Most of the farmers (80%) use traditional medicine to treat their chicken. The average age of first laying was 5months, mean number of eggs per clutch was 12. The mean clutch size was 3.3 and the hatchability percentage was 72%. The result revealed that the main constraints of village poultry production in the study area, especially in village2 were predator (48%), disease (33.7%), feed shortage (19.3%), market (10%), and the primary opportunity was extension (34%) followed by credit, (24.6%), market (23.4%) and feed access (18%) and, respectively. It is concluded that constraints and opportunities of village chicken production were identified. Controlling predators, improving the management practices, and educating the framers are viable options to improve the livelihood of the households.        
      PubDate: 2022-04-11
      DOI: 10.4314/mejs.v13i2.
      Issue No: Vol. 13, No. 2 (2022)
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