Eucalyptus is the most preferred exotic species in diferent parts of Ethiopia, particularly in the northern part of the country,including the study area. Socioeconomic, institutional, and endowment variables are an infuence on the production of thisspecies. Te purpose of this study was to identify determinants of Eucalyptus woodlot production for producer farmers in thestudy area. Multistage sampling techniques were used in order to select the district, kebeles, and household heads to beinterviewed. Te district and the kebeles were selected purposefully based on their high potential for Eucalyptus production,whereas ninety-six (96) sampled respondent farmers were selected by using simple random sampling techniques. A multiple linearregression (OLS) model was used to run the determinants of Eucalyptus woodlot production, and descriptive statistics were usedto describe the socioeconomic characteristics of smallholder Eucalyptus producers in the form of means, frequencies, andpercentages. Te respondents use Eucalyptus products for construction and fuel wood. Rural farmers produced about 70% ofconstruction wood products and 30% of fuel wood products annually. Five variables (i.e., woodlot size, woodlot density, andmarket information) signifcantly afected woodlot production, whereas the age of farmers and market distance were negativelyafected. In order to produce better income from Eucalyptus products, the collaboration eforts of all responsible groups (i.e.,farmers, researchers, governments, and others) should be required.

Background: Children on the streets are still vulnerable to early and unsafe sexual experiences. Having multiple sexual partners and the limited use of condoms were major risk factors for the spread of sexually transmitted diseases among youths in Ethiopia.
Objective: This study aimed to explore the risk factors of sexual and reproductive health problems, service utilization, and challenges among street youths in the East Gojjam Zone.
Method: A phenomenological study design was employed on street youths residing in the East Gojjam Zone. Study participants were purposively recruited from four town administrations in the East Gojjam Zone. The primary study unit was street youths who live in the zone. Eight in-depth interviews and eight focus group discussions were conducted. The data were audio recorded and analyzed using inductive thematic analysis.
Results: In this study, the risk factors that exposed street youths to sexual and reproductive health problems included low perceived susceptibility, lack of awareness of sexual and reproductive health, having multiple sexual partners, exposure to pornographic films, and utilization of alcoholic drinks and substances. Mainly, those street youths who were engaged in transactional sexual relationships were utilizing condoms consistently and had regular HIV screening tests. In addition, few street youths ever utilized maternal and child health services. The unsupportive behavior of health professionals, the absence of exact data, the health system, and lack of specific responsible organization on the sexual and reproductive health of street youths were considered major challenges.
Conclusion and recommendation: Most of the street youths were not utilizing reproductive health services. Limitation on the accessibility of sexual and reproductive health services to this segment of the population was the main contributing factor. So, the health system and policy should take front-line responsibility for the sexual and reproductive health of street youths and consider convenient reproductive health service programs for them.

Keywords: Risk factors; Sexual and reproductive health service utilization; Street youths.

One of the biggest global challenges to development and public health is road traffic accidents (RTAs). As aresult, this study focuses on analysing road traffic accident determinant factors using the Wrapper Feature Se-lection Method in case of East Gojjam Zone located in Amhara region, Ethiopia, sub-Saharan. To do this, EastGojjam Road traffic office RTA data classified as simple injury, major injury, and death is gathered. The gatheredinformation is pre-processed before being used using machine learning classification algorithms includingNearest Neighbour (KNN), Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and NaïveBayes (NB). Using the wrapper feature selection approach, the most significant factor was identified using themachine-learning algorithm KNN, which obtained the best classification score with an accuracy of 99.5 %. Thus,the type of vehicle, the reason for the accident, the location of the accident, and the licence level were identifiedas crucial RTA factors. Finally, the variables, Sino track, unfavourable weather, Dolphin, and Debre Elias rated100 %, 100 %, 85 %, and 82.35 % for fatality in relation to the factors licence driver, cause of accident, type ofvehicle, and accident location, respectively.
Keywords: Road traffic accident, East Gojjam, Amhara region, Ethiopia, Machine learning, Feature selection, Filter, Wrapper method, Embedded method, Data mining

Abstract The main purpose of this study is assessing the Root Causes and Possible Way Outs of the Current Armed Conflict in Amhara Region. To acquire sufficient and detail information, mixed research approach, and a descriptive research with cross sectional design had employed that intends to reckon the root causes, aggravating factors, and its way outs. The total numbers of participants were 420for survey, 42 key informants and 64 discussants. Participants were selected from the entire target population using both probability and non-probability sampling techniques. From probability sampling technique; proportional and simple random sampling methods were used to choose research participants. From the non-probability sampling technique on the other hand, purposive sampling method had employed to attain a pivotal and constructive data that pertinent to the study. The data which was obtained from survey questionnaires were analyzed through descriptive statistics (mean), while the qualitative data have been analyzed by narration and thematic methods of analyses. The study found out that the root causes of armed conflict which had happened in Amhara region are human rights violations, living Situation of Amhara‘s ethnic, disband the Amhara regional special force, kidnapping of Amhara ethnic, ethnic based attack, less political representation, identity question, hate speech by higher officials over Amhara peoples, failure of government to keep the security of its people. Due to attack innocent peoples and sexual violence committed by government forces intensified the conflict in the region. Besides, instead of disclose for negotiation, the incumbent government opted to fight Fano militants. Thereby, armed conflict exacerbated and has been endless in the region so far. The finding confirmed that federal government forces, Amhara regional forces, Fano militants, social Medias‘ activists are the actors who involved in and ignite this weapon based conflict in Amhara region. Therefore, amending the constitution, ensure fair distribution of resources and rule of law, protect human rights, give immediate answers for identity question, establish transitional government can address the problem. Key Words: Amhara, Armed conflict, Causes, Way out

Background Understanding the student’s perspective of their clinical learning environment (CLE) might assist todiscover solutions to improve the learning process and increase engagement. However, there is a lack of informationon this issue, particularly in Ethiopia. The purpose of this study was to assess the satisfaction of undergraduatemedical and health science students with their clinical learning environment, as well as to identify the factors thataffect it.Methods Institutional-based cross-sectional study was conducted using a self-administered questionnaire among412 medical and health science students from Debre Markos University in 2023 through a simple random samplingtechnique. Mean, median, frequencies, and percentages were used to describe the data. A multivariate logisticregression model was fitted to test the association of dependent and independent variables. The Hosmer-Lemeshowgoodness-of-fit test was used to check the fitness of the model. Variables with a p-value < 0.05 with a 95% confidenceinterval were considered statistically significant.Results The questionnaire was completed by 394 individuals in total, generating a response rate of 95.63%.Approximately half (49.7%) of the participants were satisfied with their CLE. Age (AOR = 1.12; 95%CI = 1.02, 1.22),university positive perceptions (AOR = 1.60; 95%CI = 1.04, 2.43) and curriculum positive perception (AOR = 2.70;95%CI = 1.73, 4.10) were all positively associated with CLE satisfaction.Conclusion In this study, approximately half of the respondents were satisfied with their CLE. Age, positiveperceptions of the university and positive perceptions of the curriculum were all positively associated with CLEsatisfaction. The university and clinical facilitators should work together to improve infrastructure, and the facilities

Introduction: The magnitude of poor sleep quality among people with asthma is widespread and has detrimental consequences, including a higher chance of having poor work performance, an increase in the frequency of asthma attacks, an increase in the need for overnight hospitalization, and a worse health related quality of life. However, it has not been well studied, especially in low-income countries like Ethiopia. This study's objective was to assess the degree of sleep quality and related factors among people with asthma who had follow-up visits at public hospitals in the East Gojjam Zone.
Methods: An institutional-based cross-sectional study design was conducted among 406 people with asthma through consecutive sampling techniques at public hospitals in East Gojjam Zone from June 6 to July 1, 2022. Sleep quality was measured by the Pittsburgh Sleep Quality Index through a face-to-face interview, and the collected data were entered into Epi Data version 4.4.2 and exported to SPSS version 25 for analysis. Logistic regression was fitted to assess the association between dependent and independent variables. Variables with a P-value

Eucalyptus was frst introduced to Ethiopia in the late 19th century to address the scarcity of frewood and construction wood in thecapital city. Since then, it has spread across the country and has become an important source of income for many households whilealso reducing the need for deforestation. Despite concerns raised by environmentalists about its eco-hydrological impact, theplantation has expanded to cover a vast area of the nation, including farmlands and mountainous regions. Currently, around506,000 hectares of land in Ethiopia are covered by Eucalyptus plantations. Te growth of Eucalyptus plantations can be attributed tovarious socioeconomic, ecological, and biological factors, including the increasing demand for wood and wood products. However,this growth has also led to negative environmental consequences such as reduced surface and groundwater fow, decreased cropproductivity, soil fertility degradation and depletion, and high water consumption, which can result in water scarcity. To address theseenvironmental impacts, it is essential to select appropriate species and sites and implement proper silvicultural and land use planningbefore planting. Additionally, promoting renewable energy sources and planting environmentally sound fast-growing indigenousand exotic tree species can help reduce the adverse efects of Eucalyptus on the environment.Keywords: deforestation; environmental impacts; Eucalyptus plantation; indigenous and exotic tree species

IntroductionLimited or shared sanitation services are considered improved sanitation facilities, but theyare shared between two or more households. Globally, 600 million people use shared toiletfacilities. Although shared facilities are not classified as improved sanitation due to potentialinfection risks, inaccessibility, and safety concerns, this is a significant issue in developingcountries like Ethiopia. Evidence on the distribution of shared sanitation services and theirdeterminants in Ethiopia is limited. Therefore, this study aimed to assess the extent ofshared toilet facilities and their determinants among households in Ethiopia.MethodsThe 2019 Ethiopian Demographic and Health Survey (EDHS) served as the basis for thecross-sectional secondary data analysis. The analysis included a total of 7,770 householdsfrom the weighted sample. STATA 14 software was used to clean, weigh, and analyze thedata. To explore the distribution and determine the factors associated with shared toilet facil-ities in Ethiopia, both spatial and mixed-effect analyses were utilized. A p-value of less than0.05 was used to display the relationships between the dependent and independent vari-ables, employing adjusted odds ratios and 95% confidence intervals.ResultsThe magnitude of improved shared sanitation facilities among households in Ethiopia,according to the EDHS 2019, was 10.5% (95% CI: 9.88, 11.24). The prevalence was highestin Addis Ababa at 70.2% and lowest in the Southern Nations, Nationalities, and Peoples’Region at 2.4%. Individual-level variables significantly associated with the use of improvedshared toilet facilities included being a household head aged 55 years or older [AOR = 0.48;
95% CI: 0.33, 0.71], having secondary education or higher [AOR = 2.43; 95% CI: 1.80,3.28], and belonging to middle or rich wealth status [middle: AOR = 2.32; 95% CI: 1.35,3.96; rich: AOR = 6.23; 95% CI: 3.84, 10.11]. Community-level characteristics such as resid-ing in urban areas [AOR = 7.60; 95% CI: 3.47, 16.67], the metropolitan region [AOR =25.83; 95% CI: 10.1, 66.3], and periphery regions [AOR = 5.01; 95% CI: 2.40, 10.48] werealso associated with the use of shared toilet facilities.ConclusionThe usage of improved shared toilet facilities among households in Ethiopia is relatively low.Significant factors related to the use of shared toilet facilities were being 55 years of age orolder, possessing secondary or higher education, having a middle or rich wealth status, liv-ing in urban areas, and residing in metropolitan or peripheral regions. To improve access toand utilization of shared sanitation facilities, Ethiopian policy should emphasize user educa-tion and awareness.

ABSTRACTSilver nanoparticles (AgNPs) were synthesized from the root extract Stephania abyssinica by aneco-friendly and cost-effective method. Stephania abyssinica root extract with AgNO3 solutionwas used to synthesize AgNPs. The synthesized nanoparticles were characterized by UV–Vis,FTIR and XRD spectrophotometers. The antimicrobial activity of the nanoparticles was testedby the agar disc diffusion method. The result was that the dark yellow colour solution changedto brown solution with AgNO3 solution confirming the formation of AgNPs. The UV–Vis peak at275 nm in the plant extract shows the presence of organic compounds that interact with silverto form AgNPs. The FTIR spectrum of AgNPs shows peaks at 3406 cm−1, 2353 cm−1, 1615 cm−1and 1021 cm−1. The XRD result showed that the AgNPs are face centred cubic crystallinestructures having a size of 20.8 nm. The synthesized AgNps are more potent in Gram-negative bacteria than Gram-positive bacteria.
KEYWORDS: Silver nanoparticles; Stephania abyssinica; antimicrobial activity; green synthesis; spectral analysis

Background: Despite progress in reducing neonatal mortality rates in Ethiopia, the country still has a high neonatal mortality rate compared with the global average. Primary hospitals are critical in delivering basic neonatal care, particularly in rural areas. However, data on neonatal mortality and contributing factors in these settings are scarce. This study aimed to determine the survival status and predictors of neonatal mortality among neonates admitted to Bichena Primary Hospital, Northwest Ethiopia.
Methods: A retrospective cohort study was conducted among 638 neonates admitted to the Bichena Primary Hospital neonatal intensive care unit from January 1, 2021, to April 30, 2023. Neonates were selected via a consecutive sampling method. Data were collected from medical records using a pretested checklist. A Kaplan-Meier survival curve was used to estimate the neonatal survival time, and a Cox proportional hazard regression model was used to identify independent predictors of neonatal mortality.
Results: Of the 638 neonates followed, 21.5% died during the study period. The overall incidence rate of death was 66.69 per 1,000 neonate days. Hypothermia, birth injury, perinatal asphyxia, preterm birth, maternal history of abortion, low birth weight, and neonatal hypoglycemia were independent predictors of neonatal mortality.
Conclusion and recommendation: The study found a high rate of neonatal mortality, exceeding rates reported in other regions of Ethiopia. Most predictors were preventable and treatable. Therefore, early identification of obstetric complications, immediate interventions and postnatal care are crucial to reduce neonatal mortality and enhance overall neonatal outcomes.
Keywords: Ethiopia; neonate; predictors; primary hospitals; survival status.