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Isolation and genetic analysis of mycobacteria from suspect tuberculous lesions in slaughtered cattle from Wolaita, Ethiopia

Bovine tuberculosis (bTB), caused by Mycobacterium bovis and other members of the Mycobacterium tuberculosis complex (MTBC), is a significant concern for livestock and public health in Ethiopia. This study aimed to isolate and genetically characterise the causative agents of bTB in cattle from four abattoirs in the Wolaita zone of Ethiopia. A total of 2,251 cattle were examined postmortem, and suspect tuberculous lesions were identified in 122 animals. From these animals, 180 tissue samples were collected and processed for bacteriological culture and genetic analysis, including the LoopampTM commercial LAMP kit, PCR targeting RD4 and RD9 loci, and whole genome sequencing (WGS). Bacteriological culture using MGIT and Lowenstein-Jensen media ultimately identified 18 culture positive samples, with WGS confirming M. bovis in lesions from four animals and M. tuberculosis in lesions from one animal. The M. bovis and M. tuberculosis isolates showed genetic similarity to previously identified MTBC lineages in Ethiopia. The presence of M. tuberculosis in cattle raises concerns about human-to-animal transmission. Additionally, non-tuberculous mycobacteria were isolated from lesions from multiple animals. Our study genetically characterised bacteria from suspect tuberculous lesions and provides the research community with new genome data for Ethiopian isolates of M. bovis and M. tuberculosis.

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The effects of pedagogical mentoring and coaching on primary school teachers’ professional development practices and students’ learning engagements in classrooms in Oromia regional state: implications for professionalism

ABSTRACT The study examined the effects of pedagogical mentoring and coaching on teachers’ professional development practices and students’ learning engagements in classrooms. The study employed mixed approach with concurrent triangulation design. The researcher selected samples of the study using availability, stratified and simple random sampling techniques. The researcher collected data using questionnaires, interviews, observation and document examination, and analysed using descriptive and inferential statistics, and narration. The mentoring practices improved teachers’ basic professional competencies (R2 = .2437 at p > .05). This contributed to students’ learning engagements (R2 = .1101 at p > .05). The coaching practices improved specific competency development (R2 = .1851 at p > .05). This contributed to students’ learning engagements (R2 = .0971 at p > .05). Mentoring and coaching practices occurred against plan-do-study-act-evaluation paths. These practices partially improved newly deployed teachers’ emotional safety, wellbeing and innovative pedagogical competencies of experienced teachers. Therefore, the qualities of mentoring and coaching should be enhanced through face-to-face interactions and E-leaning strategies.

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Contribution of Fuel Wood Income from Natural Forests to Household Economy in Delanta District, Northeastern Ethiopia

For Ethiopia’s rural homes, particularly those in the Delanta district, fuelwood is the primary energy source. This suggests that the impact of fuel wood from the forest to family energy use or income is significant. The goal of the current study was to estimate how much annual fuel wood harvested from forests contributes to household consumption and monetary income. 96% of the forest’s income comes from fuelwood. In the study area, it contributes 2,013,539 Birr, or 33%, of all family income. 703,014 ETB, or 23.8% of the total subsistence income, and 1,310,525 ETB, or 40.65% of the total cash income of the tested households, are both covered by fuelwood from the forest. Both socioeconomic and physical characteristics close to the users influenced how dependent a household was on fuelwood income from the forest. The data obtained from randomly selected households by survey method have been subjected to multiple regression analysis and obtained that households’ reliance on fuelwood income from the forest was significantly influenced by factors such as age, educational level, number of trees owned, distance to forest, distance to market, and nonforest income, all of which had a negative and significant impact. The only significant factor that significantly and positively influences reliance on fuelwood income from the forest is the number of family members. Therefore, preserving a natural forest through the use of alternative energy sources, such as electricity, or encouraging a plantation on one’s own property is a potential discipline for mandating climate change prevention.

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Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due to non-renewable energy depletion, unregulated use, and a lack of new energy sources. Ethiopia’s Debre Markos distribution network experiences over 800 h of power outages annually, causing financial losses and resource waste on diesel generators (DGs) for backup use. To tackle these concerns, the present study suggests a hybrid power generation system, which combines solar and biogas resources, and integrates Superconducting Magnetic Energy Storage (SMES) and Pumped Hydro Energy Storage (PHES) technologies into the system. The study also thoroughly analyzes the current and anticipated demand connected to the distribution network using a backward/forward sweep load flow analysis method. The results indicate that the total power loss has reached its absolute maximum, and the voltage profiles of the networks have dropped below the minimal numerical values recommended by the Institute of Electrical and Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing the current distribution network’s operation, additional steps were taken to improve its effectiveness, using metaheuristic optimization techniques to account for various objective functions and constraints. In the results section, it is demonstrated that the whale optimization algorithm (WOA) outperforms other metaheuristic optimization techniques across three important objective functions: financial, reliability, and greenhouse gas (GHG) emissions. This comparison is based on the capability of the natural selection whale optimization algorithm (NSWOA) to achieve the best possible values for four significant metrics: Cost of Energy (COE), Net Present Cost (NPC), Loss of Power Supply Probability (LPSP), and GHG Emissions. The NSWOA achieved optimal values for these metrics, namely 0.0812 €/kWh, 3.0017 × 106 €, 0.00875, and 7.3679 × 106 kg reduced, respectively. This is attributable to their thorough economic, reliability, and environmental evaluation. Finally, the forward/backward sweep load flow analysis employed during the proposed system’s integration significantly reduced the impact of new energy resources on the distribution network. This was evident in the reduction of total power losses from 470.78 to 18.54 kW and voltage deviation from 6.95 to 0.35 p.u., as well as the voltage profile of the distribution system being swung between 1 and 1.0234 p.u., which now comply with the standards set by the IEEE. Besides, a comparison of the cost and GHG emission efficiency of the proposed hybrid system with existing (grid + DGs) and alternative (only DGs) scenarios was done. The findings showed that, among the scenarios examined, the proposed system is the most economical and produces the least amount of GHG emissions.

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Ethiopian Early Grade English Teachers’ Preparedness to Teach Basic Reading Skills

Ethiopian children in early grades were found to be significantly nonreaders after 2–3 years of schooling regardless of linguistic variation. This is mainly attributed to the way children are taught basic literacy skills, which is attributed to teacher preparation and training. This research aimed to examine Ethiopian early grade teachers’ preparedness to teach basic reading skills. Five schools were randomly selected out of 44 public primary schools in the research site. Among 40 teachers of English in the selected schools, 32 teachers were willing to take knowledge assessment test and fill in the questionnaire. Two of knowledge test papers and two pieces of questionnaire were rejected because the responses were incomplete. The data were gathered from (n = 30) randomly selected primary schools English teachers by using a questionnaire and knowledge assessment test. Data analysis was done using Statistical Package for Social Sciences (SPSS Version 25.0). Descriptive statistics were calculated for the responses to knowledge test and questionnaire. Pearson’s correlation was calculated for the relationship among teacher preparation coursework emphasis, practicum attention, and teachers’ felt preparedness to teach basic reading after categorical data were transformed into scale. The results have shown that primary school English teacher preparation designated only certain lecture sessions of coursework and few of activities of practicum to teaching early reading. The average knowledge assessment test score of teachers was 43.4%; 21 (70%) of the teachers achieved below 50% while 9 (30%) of them achieved 50% and above. There is a statistically significant relationship among teacher preparation coursework emphasis, practicum attention, and teachers’ felt preparedness to help Ethiopian children learn to read. It can be concluded from the results that teacher preparation both in its courses and practicum activities did not place due emphasis on teaching teachers to teach basic reading skills. Participant English teachers also had knowledge gap about early reading instruction. Thus, participant English teachers were not adequately prepared to teach early grade reading. Teacher preparation coursework emphasis, practicum attention, and teachers’ felt preparedness to teach early grade reading have a strong positive relationship.

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Knowledge and factors associated with active management of the third stage of labor in sub-Saharan Africa: A systematic review and meta-analysis.

Postpartum hemorrhage (PPH) is one of the leading causes of maternal mortality in sub-Saharan Africa. Implementing active management in the third stage of labor has significantly reduced the incidence of PPH. Thus, understanding the level of healthcare providers' knowledge of active management in the third stage of labor can inform guidelines, policies, and practices for effectively preventing PPH. This review aimed to assess the level of healthcare providers' knowledge and associated factors of active management in the third stage of labor in sub-Saharan Africa. We conducted a search using PubMed, Scopus, Web of Science, Google Scholar, Cochrane Library, and the African Journals online international databases. The inclusion criteria were determined before the review of the articles and adhere to the criteria of population, intervention, comparison, and outcome. Statistical analysis was performed using STATA data analysis software version 14, while Microsoft Excel was utilized for data abstraction. We checked publication bias using a funnel plot and Egger and Begg regression tests. A P value less than 0.05 was considered statistically significant, suggesting the presence of presence publication bias. The I2 statistic was used to assess heterogeneity between studies. The study's overall effect was evaluated using the random effects model. The study included 20 studies to conduct a pooled prevalence analysis. The overall prevalence of healthcare providers' knowledge of active management of third-stage labor in sub-Saharan Africa was 47.975% (95% CI: 32.585, 63.365). Having pre- and in-service training (AOR: 2.25, 95% CI: 1.00, 5.08), having a higher degree (AOR: 1.98, 95% CI: 1.39, 2.82), and having good practices (AOR: 8.91, 95% CI: 4.58, 17.40) were significantly associated with healthcare provider's knowledge regarding active management third stage of labor. The overall healthcare providers' knowledge of active management of the third stage of labor (AMTSL) was low in sub-Saharan Africa. Obstetric healthcare providers should undertake comprehensive training covering all AMTSL components through pre- and in-service diploma training programs.

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Nutrition profiles of farm households across different farming systems in Ethiopia: Unpacking the determinants and implications for nutrition-sensitive interventions.

Tackling nutrition insecurity remains a critical challenge in developing countries. In the predominantly rain-fed and smallholder-based farming systems of Ethiopia, production diversity and livelihood strategies of the farm households vary across geographic areas. However, the effects of household socioeconomic characteristics, production diversity, and household incomes on nutrition profiles in distinct settings have been inadequately understood. Therefore, this study was undertaken to examine the association of farming system type, sources of income, and household wealth status with household nutrition profiles in three remote locations such as Mennisa, Welmel Tiqa, and Agam Wuha that represent root crops-based farming, maize-based semi-pastoral farming, and teff-based cereal farming systems, respectively. A combination of qualitative and quantitative data collection techniques was employed. A multistage sampling procedure was used to select a total of 265 smallholder households for the structured survey interviews. Standard statistical tests and Tobit regression analyses were performed after determining the wealth category of each household. Results revealed a diversity of income sources used by each of the farm households with average values of 9 in Mennisa, 10 in Agam Wuha, and 11 in Welmel Tiqa, with the contributions of each income source varying by household wealth category and location. As expected, expenditures on food significantly exceeded those on non-food categories for poor households and vice versa for rich wealth households. The average total food variety score (FVS) for Welmel Tiqa was twice that for Agam Wuha, confirming the need for site-specific nutrition profile assessments. Despite the observed differences in household nutrition profiles among wealth categories and locations, the apparent intakes of vitamin A, vitamin B12, vitamin D, and calcium were consistently below the population-level estimated average requirements across all locations. The number of adequately consumed nutrients by farm households was negatively associated with family size, age of household heads, livestock holdings, wealth categories, and irrigation use, and positively associated with crop production diversity, income diversity, and FVS. The negative association between irrigation use and nutrition security was likely due to the focus on producing crops with a high market value on land under irrigation, coupled with ineffective allocation of generated income for enhancing household nutritional outcomes. Therefore, programs that include irrigated agriculture investments should consider adopting a more integrated nutrition-sensitive interventions, including consideration of locally adapted nutritious crops, such as orange-flesh sweet potato, to address critical deficiency of Vitamin A, nutrition training coupled with development of recipes and cooking demonstrations, and marketing and promotion for nutritious crops.

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Mechanical properties: Lifespan and retention forecast for jute fiber woven fabric reinforced epoxy matrix composite

AbstractPolymer composites bonded with natural fibers are extensively used for a range of engineering purposes. Preserving their mechanical strength and estimating their maximum service life are thus essential for efficient usage. The primary goals of this effort are to analyze and forecast the longest possible life span of composites. To do this, Fick's law and the Arrhenius principle are employed to analyze the diffusion coefficient and activation energy. Compression molding technology and a manual technique for layup were employed to make the composites reinforced with epoxy laminate and woven mats of jute fiber (JRC). Three layering patterns were used to prepare the laminated composite: 45° angle‐ply laminate [0°/+45°/0°/−45°/0°], 0° balanced laminate [0°/0°/0°/0°/0°/0°], and 30° angle‐ply laminate [0°/+30°/0°/−30°/0°]. In order to examine how aging affected the composites' mechanical properties, the materials were immersed in water for 10, 20, 30, and 40 days throughout the study. The study's conclusions showed that the composite samples' weight rose with age. It was possible to make precise predictions about strength retention by comparing the mechanical characteristics of aged (wet) and unaged composites. It was discovered that the strongest composites were those with a 45‐degree stacking pattern. The activation energy of composites with a 45° angle‐ply laminate layering pattern is maximum, according to the Arrhenius principle. Additionally, using an electron microscope with scanning capabilities (SEM), it was possible to determine the fiber matrix and the tensile cracked surface contact connection.Highlights The widespread usage of polymer composites with natural fibers in engineering applications. Preservation of mechanical strength and predicting the maximum service life of these composites show how important these materials are for engineering efficiency. Fick's rule and the Arrhenius principle are used to analyze diffusion coefficient and activation energy. Laminated composites are made using 45° angle‐ply, 0° balanced laminate, and 30° angle‐ply layering patterns. The impact of simulated aging on composite mechanical characteristics by water immersion for varied periods.

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