O. abyssinica, known in Ethiopia as lowland bamboo, is a solid-stemmed clump-forming bamboo species widelydistributed in the western dry regions of Ethiopia. The versatility of the species means that it has enormouspotential for land restoration in arid and semi-arid areas, in addition to bringing socio-economic benefits. It alsodisplays remarkable adaptability, allowing it to thrive in the challenging ecological conditions of areas such asthe Abay Gorge. The Abay Gorge, situated within the Upper Blue Nile River Basin of Northwestern Ethiopia ischaracterized by problems associated with soil erosion and land degradation. This study, therefore, aimed toevaluate and recommend a suitable spatial analysis for the adoption and development of lowland bamboo(O. abyssinica). Fifteen primary influencing factors were chosen according to the needs of O. abyssinica, theaccessibility of data, and the financial implications associated with data analysis, particularly the expensesrelated to soil laboratory testing. Eight composite soil samples were taken directly by dividing the watershed intotwo categories (upper and lower catchment areas). These composite soil samples were analyzed. Data analysiswas performed via Analytical Hierarchy Process (AHP) in conjunction with Multi-Criteria Decision-Making(MCDM) analysis and the use of Remote Sensing (RS) and Geographic Information System (GIS). The spatialanalysis employed in this study was a weighted sum overlay analysis, which was applied by considering thecriteria weight assigned to each factor. The analysis revealed that 21.2 % (666.5 ha) of the total area was highlysuitable for the growth and development of O. abyssinica. About 56 % (1753 ha) of the land was moderately andmarginally suitable for the desired land utilization type. However, 23 % (723.8 ha) of the study area was un-suitable for O. abyssinica. O. abyssinica has the potential to rehabilitate large parts of challenging areas such as theAbay Gorge due to its naturally invase rhizomes and drought-tolerance. It can also be introduced into agrofor-estry systems and used as living fences for villages.
Keywords: AHP, GIS, Land evaluation, Lowland bamboo, MCDM, Remote sensing

Introduction: The rising global prevalence of cancer reveals significant regional disparities in palliative care adoption. While some countries have incorporated palliative care into their systems, over half of the world lacks such services, and oncology-specific palliative care integration is sparse. This study evaluates the global prevalence of palliative care use among cancer patients.
Methods: A comprehensive search across multiple databases was conducted to identify relevant studies. Data extraction and organisation were managed using Microsoft Excel, and analysis was performed with STATA/MP 17.0. A weighted inverse variance random-effects model was applied, and heterogeneity was assessed with Cochrane I² statistics. Subgroup analyses, sensitivity analyses and Egger's test were used to explore heterogeneity, publication bias and influential studies.
Results: The global prevalence of palliative care among cancer patients was 34.43% (95% CI: 26.60 to 42.25). Africa had the highest utilisation rate at 55.72% (95% CI: 35.45 to 75.99), while the USA had the lowest at 30.34% (95% CI: 19.83 to 40.86). Studies with sample sizes under 1000 showed a higher utilisation rate of 47.51% (95% CI: 36.69 to 58.32). Approximately 55% (95% CI: 35.26 to 74.80) of patients had a positive attitude towards palliative care, and 57.54% (95% CI: 46.09 to 69.00) were satisfied with the services. Positive attitudes were significantly associated with higher palliative care utilisation.
Conclusion: Only about one-third of cancer patients globally receive palliative care, with the highest utilisation in Africa. Nearly half of patients have a favourable attitude towards palliative care, and a similar proportion are satisfied with the services.

Keywords: Cancer; End of life care; Nursing Home care; Palliative Care.

Background: An edible oil factory is a labor-intensive and technologically complex industry, with workers potentially exposed to a variety of dangers associated with such industries. Personal protective equipment is a universal, legal requirement, and an important strategy for preventing occupational injuries and illnesses caused by workplace hazards. However, such industries receive little attention, especially in Ethiopia.
Objective: To assess personal protective equipment utilization and its associated factors among workers in the PhiBela edible oil factory in Burie, Ethiopia, in 2022.
Methods: A cross-sectional study was employed among the PhiBela edible oil factory workers in Burie. A simple random sampling technique was used to select 389 PhiBela edible oil factory workers. Face-to-face interviews and self-administered structured questionnaires were used to collect data on workers' protective equipment utilization practice, socio-demographic, work-related, environmental, and organizational factors. Data was analyzed using SPSS version 25. The logistic regression method was used to see factors associated with workers' protective equipment utilization. The strength of the association was calculated using an odds ratio at 95% confidence intervals.
Results: Of the total workers, 216, 55.52% (48.33-57.78) workers utilize personal protective equipment in the factory. The study showed safety training [AOR (4.68, 95%CI (2.76-7.45)], availability of personal protective equipment [AOR = 4.86; 95%CI: 2.23-6.98], regular health and safety supervision [AOR = 2.751; 95%CI: 1.806-3.801], availability of safety guideline at workplace [AOR = 3.798; 95%CI: 1.248-6.173], having work experience 3 years and above [AOR = 1.64; 95%CI: 1.06-2.18], not using alcohol [AOR = 3.07; 95%CI: 2.11-4.76], and not smoking cigarette [AOR = 1.88; 95%CI: 1.55-3.11] were predictors of personal protective equipment utilization.
Conclusion: The level of personal protective equipment utilization among Phibela edible oil factory workers is 55.52%, which is moderate when compared to other studies done in developing countries. The presence of Safety training, availability of personal protective equipment, regular health and safety supervision, availability of guidelines at workplaces, having work experiences, not using alcohol, and cigarrete smoking were factors found to be a significant predictors of personal protective equipment utilization. As a result, close workplace supervision, safety training, and availing guidelines are the recommendations to be in place.

Keywords: Ethiopia; Utilization; factory worker; personal protective equipment.

Background: An edible oil factory is a labor-intensive and technologically complex industry, with workers potentially exposed to a variety of dangers associated with such industries. Personal protective equipment is a universal, legal requirement, and an important strategy for preventing occupational injuries and illnesses caused by workplace hazards. However, such industries receive little attention, especially in Ethiopia.
Objective: To assess personal protective equipment utilization and its associated factors among workers in the PhiBela edible oil factory in Burie, Ethiopia, in 2022.
Methods: A cross-sectional study was employed among the PhiBela edible oil factory workers in Burie. A simple random sampling technique was used to select 389 PhiBela edible oil factory workers. Face-to-face interviews and self-administered structured questionnaires were used to collect data on workers' protective equipment utilization practice, socio-demographic, work-related, environmental, and organizational factors. Data was analyzed using SPSS version 25. The logistic regression method was used to see factors associated with workers' protective equipment utilization. The strength of the association was calculated using an odds ratio at 95% confidence intervals.
Results: Of the total workers, 216, 55.52% (48.33-57.78) workers utilize personal protective equipment in the factory. The study showed safety training [AOR (4.68, 95%CI (2.76-7.45)], availability of personal protective equipment [AOR = 4.86; 95%CI: 2.23-6.98], regular health and safety supervision [AOR = 2.751; 95%CI: 1.806-3.801], availability of safety guideline at workplace [AOR = 3.798; 95%CI: 1.248-6.173], having work experience 3 years and above [AOR = 1.64; 95%CI: 1.06-2.18], not using alcohol [AOR = 3.07; 95%CI: 2.11-4.76], and not smoking cigarette [AOR = 1.88; 95%CI: 1.55-3.11] were predictors of personal protective equipment utilization.
Conclusion: The level of personal protective equipment utilization among Phibela edible oil factory workers is 55.52%, which is moderate when compared to other studies done in developing countries. The presence of Safety training, availability of personal protective equipment, regular health and safety supervision, availability of guidelines at workplaces, having work experiences, not using alcohol, and cigarrete smoking were factors found to be a significant predictors of personal protective equipment utilization. As a result, close workplace supervision, safety training, and availing guidelines are the recommendations to be in place.

Keywords: Ethiopia; Utilization; factory worker; personal protective equipment.

In the post-1991 period, the Ethiopian People’s Revolutionary Democratic Front clearly endorsed the separationof state and religion. More importantly, the government is obliged to deliver equal protection for the peacefulworshiping and well-being of religious institutions. However, there is little or no protection given to the Ethi-opian Orthodox Church and Christians, specifically in the post 2018 political transition. Therefore, this studyexamines the most devastating and selective murdering and slaughtering of Orthodox Christians and the de-molition of the church a few months after a new governmental transition took place in April 2018. To do so, thispaper applied the theory of “religious victimization” to analyze the interplay between the so-called politicalreform and religious practice since 2018. In this respect, a qualitative research approach with a case researchdesign was used: ten in-depth interviews, three focus group discussions, field observations, and secondarysources analysis. According to the findings, thematic analysis was applied by arranging items in the team basedon their similarities. The results of the study also revealed that there were mass killings and demolition of or-thodox Christian properties in the Ethio-Somalia, Oromia, and Sidama regions of Ethiopia. Vandalism wassupposed to be systematic and well-planned. In this study, the researchers strongly recommend that the gov-ernment identify intervention strategies to stop the atrocities of Ethiopian Christians.
Keywords: Church burnings, Demolition properties, Ethiopian orthodox church, Political transition, Religious freedom, Mass killings

ABSTRACT The present study was conducted to assess the potential occurrence of coal deposits in the East Gojjam zone, specifically in Debre Eliyas woreda. It also aims to determine the quality and quantity of coal through field and laboratory techniques. A total of twenty coal samples and twenty rock samples were systematically collected from surface outcrops and analyzed at the Geological Survey of Ethiopia. Major oxides in the rock units were determined using Atomic Absorption Spectrometry (AAS), while coal samples were subjected to Gravimetric, Proximate, and Adiabatic Calorimetric analyses to quantify moisture content, volatile matter, fixed carbon, ash content, and calorific value. The geologic setup of the study area is predominantly characterized by sedimentary rock, like Sandstone, limestone, mudstone, and basaltic rocks. Geochemical analysis of sandstone, mudstone, and limestone samples reveals distinct compositional characteristics that reflect their depositional environments and diagenetic processes, providing valuable insights for resource exploration and geotechnical assessments. A geological map at a scale of 1:25,000 and three coal occurrence maps at a 1:20,000 scale were prepared based on detailed field surveys and laboratory analyses. Chemical analysis of collected coal samples revealed moisture contents ranging from 2.32% to 29.72%, volatile matter from 20.01% to 37.29%, fixed carbon from 7.12% to 31.88%, ash content from 4.27% to 66.07%, and calorific values between 2,323.044 and 9,378.684 Cal/gm. The values indicate that the coal in Debre Eliyas ranges in rank from lignite to bituminous. Across all identified coal-bearing sites, the average seam thickness ranges from 2.35 to 5.13 meters. The total estimated coal resource of the study area is approximately 2,755,124.83 tons. Keywords: Debre Elias, Coal Deposit, Economic Potential, Calorific value

Abstract
Carrot is a significant root crop in Ethiopia but its production faces challenges such as nutrient loss and unfavorable growth conditions, which hinder its productivity. The objective of this review was to evaluate the impact of nitrogen fertilizer rates on carrot yield in Ethiopia. A systematic review using databases like PubMed and Scopus focused on peer-reviewed, English-language studies with quantitative data on nitrogen fertilizer and carrot yield in Ethiopia, excluding non-peer-reviewed articles and those lacking quantitative data or in other languages. Globally, carrot yields are 30–100 tons per hectare, but only 5.5 tons in Ethiopia. Carrots are rich in vitamins A, C, and B, proteins, minerals, and fiber, with vitamin C boosting immunity and aiding in wound healing and allergy management. Meanwhile, vitamin A plays a crucial role in vision, bone growth, immune function, and reproduction. It is a rich source of carotenoids and anthocyanins. The application of nitrogen fertilizer significantly improved carrot yield (root length, fresh weight, and dry weight). In Ethiopia, the use of nitrogen fertilizer affects the marketability and total yield of carrots, with small-scale farmers employing diverse rates for cultivation. Current recommendations suggest 69 kg/ha of phosphorus (P2O5) and 46 kg/ha of nitrogen, but farmers often do not follow these guidelines. In conclusion, optimizing nitrogen fertilizer usage is crucial for enhancing carrot yields among small farmers, underscoring the need for government support to tailor recommendations to local soil conditions and boost productivity.

Keywords: carrot yield; carrot production; nitrogen fertilizer; nutrient management

The primary objective of this study was to investigate the practices and challenges of good governance in urban land administration, with a particular focus on the Debre Markos City Administration. The study selected the Debre Markos City Administration Municipality service office as a case study. This study employed a mixed research approach, and data were collected through questionnaire and interview methods obtained from both public servants and customers. The data was analysed through descriptive analysis. Based on the analysis conducted using three core elements of good governance—transparency, accountability, and responsiveness, the study found that there were poor practices of good governance in urban land administration. On the other hand, the study investigated various challenges of good governance in urban land administration, which emanate from personal, administrative, and socio-economic problems such as the absence of innovative figures of land registration, lack of monitoring and evaluation, inadequate institutional performance, and absence of reward and punishment systems. In general, the findings of this study revealed that due to various challenges, there were poor practices of good governance in terms of transparency, accountability, and responsiveness in the study area. These challenges impede people’s access to quality service in urban areas and undermine the trust between citizens and the government. Finally, enhancing institutional capacity, consistent implementations of monitoring and evaluation, innovative figures of land registration, and giving corrective measures for wrongdoers were stated as recommendations.

Early childhood care and education (ECCE) is the basis for the enduring instillationof personal habits and societal ideals. Thus, the study aimed to investigate the practiceand challenges of implementing ECCE in Bahir Dar city administration, Ethiopia. To thisend, a qualitative research approach with a multiple case study design was used. Quali-tative data were collected from 40 participants (ECCE teachers, caregivers, unit leaders,school principals, and Bahir Dar city administration education experts). Observation,interviewing, and focus group discussion were used as data collection instruments. Asa result, ECCE was poorly implemented. By and large, the finding of this study identi-fied many challenges that inhibit the successful implementation of ECCE, such as lackof teachers and caregivers’ training, poor physical environment, inadequate resources/facilities, inappropriate teacher–student ratio, and unrealistic demands of parents.These hindrances increase learning gaps that widen over time, contributing to higherdropout rates and reduced literacy levels. The study results would have importantimplications for the advancement of the ECCE program. Additionally, the findingsmight inform policymakers and educators on areas that require further developmentor intervention, ultimately contributing to improving of early childhood learningexperiences.Keywords: Caregivers, Challenges, Early childhood care and education, Practice, Teachers

Executive Summary Background and objectivesDiabetes mellitus (DM) and hypertension (HTN) are leading causes of cardiovascular disease, death, and disability, with a growing burden in developing countries. Early detection is essential, and machine learning (ML) offers powerful tools for predicting diseases risk by uncovering complex patterns in health data. At the same time, the Health Belief Model (HBM) explains preventive behaviors through constructs such as perceived susceptibility, severity, benefits, barriers, self-efficacy, and cues to action. This study integrates ML-based predictive modeling with the HBM to identify individuals at risk of HTN and DM and to better understand the behavioral factors influencing prevention, employing a dataset collected in 2025. Materials and methodsData on DM and hypertension HTN were collected from 1,771 employees of Debre Markos, Injibara, and Bahir Dar universities in Northwest Ethiopia. The cross-sectional survey included demographic, health-related, and behavioral factors, with constructs from the Health Belief Model (HBM) such as perceived susceptibility, severity, benefits, barriers, self-efficacy, and cues to action. RFE was applied to identify the most relevant predictors of DM and HTN. Four machine learning algorithms—Logistic Regression (LR), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and k-Nearest Neighbor (kNN) were developed using theselected features. Model performance was evaluated based on accuracy, precision, recall, the F1-score, and the area under the ROC curve. ResultsThis study found that the ensemble ML models, RF and GBDT, outperformed in predicting HTN and DM, achieving higher accuracy, precision, recall, F1-score, and area under the ROC curve. Analysis of Health Belief Model (HBM) constructs further showed that preventive behaviors were positively associated with perceived susceptibility, severity, benefits, self-efficacy, and cues to action, while perceived barriers were negatively associated. Perceived susceptibility emerged as a significant predictor of HTN and DM, and cues to action contributed to the identification of undiagnosed DM cases.