Background Due to the high burden of mortality from acute communicable and non-communicable diseases,emergency department’s mortality has become one of the major health indices in Ethiopia that should be evaluatedregularly in every health institution. However, there are inconsistencies between studies, and there is no systematicreview or meta-analysis study about the prevalence of mortality in the emergency department. Therefore, this studyaimed to determine the pooled prevalence of mortality and identify its determinants in the emergency departmentsof Ethiopian hospitals.Methods This systematic review was conducted according to the guidelines of Preferred Reporting Items forSystematic Reviews and Meta-Analyses (PRISMA) and has been registered with PROSPERO. A structured search ofdatabases (Medline/PubMed, Google Scholar, CINAHL, EMBASE, HINARI, and Web of Science) was undertaken. Allobservational studies reporting the prevalence of mortality of patients in emergency departments of Ethiopianhospitals, and published in English up to December 16, 2023, were considered for this review. Two reviewersindependently assess the quality of the studies using the Joanna Briggs Institute (JBI) critical appraisal tool. A meta-analysis using a random-effects model was performed to estimate the pooled prevalence. The heterogeneity ofstudies was assessed using I2 statistics, and to identify the possible causes of heterogeneity, subgroup analysis andmeta-regression were used. Egger’s test and funnel plots were used to assess publication bias. STATA version 17.0software was used for all the statistical analyses. A p-value less than 0.05 was used to declare statistical significance.Results A total of 1363 articles were retrieved through electronic search databases. Subsequently, eighteen studiescomprised 21,582 study participants were included for analysis. The pooled prevalence of mortality among patients inthe Emergency Department (ED) was 7.71% (95% CI: 3.62, 11.80). Regional subgroup analysis showed that the pooledprevalence of mortality was 16.7%, 12.89%, 10.28%, and 4.35% in Dire Dawa, Amhara, Oromia, and Addis Ababa,respectively. Moreover, subgroup analysis based on patients’ age revealed that the pooled prevalence of mortalityamong adults and children was 8.23% (95% CI: 3.51, 12.94) and 4.48% (95% CI: 2.88, 6.08), respectively. Being a ruralresident (OR; 2.30, 95% CI: 1.48, 3.58), unconsciousness (OR; 3.86, 95% CI: 1.35, 11.04), comorbidity (OR; 2.82, 95% CI:1.56, 5.09), and time to reach a nearby health facility (OR; 4.73, 95% CI: 2.19, 10.21) were determinants of mortality forpatients in the emergency departments.
Conclusion and recommendations This study found that the overall prevalence of mortality among patients inemergency departments of Ethiopian hospitals was high, which requires collaboration between all stakeholdersto improve outcomes. Being a rural resident, unconsciousness, comorbidity, and time elapsed to reach healthfacilities were determinants of mortality. Improving pre-hospital care, training healthcare providers, early referral, andimproving first-line management at referral hospitals will help to reduce the high mortality in our country.Keywords Associated factors, Emergency department, Ethiopia, Meta-analysis, Mortality

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

Given the Amharic language has a lot of perplexing terminology since it features duplicate homophone letters,fidel’s ሀ, ሐ, and ኀ (three of which are pronounced as HA), ሠ and ሰ (both pronounced as SE), አ and ዐ (bothpronounced as AE), and ጸ and ፀ (both pronounced as TSE). The WSD (Word Sense Disambiguation) model, whichtackles the issue of lexical ambiguity in the context of the Amharic language, is developed using a deep learningtechnique. Due to the unavailability of the Amharic wordnet, a total of 1756 examples of paired Amharicambiguous homophonic words were collected. These words were ድህነት(dhnet) and ድኅነት(dhnet), ምሁር(m’hur)and ምሑር(m’hur), በአል(be’al) and በዢል(be’al), አቢይ (abiy) and ዐቢይ(abiy), with a total of 1756 examples.Following word preprocessing, word2vec, fasttext, Term Frequency-Inverse Document Frequency (TFIDF), andbag of words (BoW) were used to vectorize the text. The vectorized text was divided into train and test data. Thetrain data was then analysed using Naive Bayes (NB), K-nearest neighbour (KNN), logistic regression (LG), de-cision trees (DT), random forests (RF), and random oversampling technique. Bidirectional Gate Recurrent Unit(BiGRU) and Bidirectional Long Short-Term Memory (BiLSTM) improved to 99.99 % accuracy even with limiteddatasets.
Key Words: Amharic language, Homophone, Machine learning, Deep learning, Bidirectional, BiLSTM, BiGRU, TFIDF, BoW, Word embedding, Amharic word sense disambiguation

BackgroundIn the intensive care unit (ICU), mechanical ventilation (MV) is a typical way of respiratorysupport. The severity of the illness raises the likelihood of death in patients who require MV.Several studies have been done in Ethiopia; however, the mortality rate differs among them.The objective of this systematic review and meta-analysis is to provide a pooled prevalenceof mortality and associated factors among ICU-admitted patients receiving MV in Ethiopianhospitals.MethodsWe used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) 2020 criteria to conduct a comprehensive systematic review and meta-analysisin this study. We searched PubMed/Medline, SCOPUS, Embase, Hinari, and Web of Sci-ence and found 22 articles that met our inclusion criteria. We used a random-effects model.To identify heterogeneity within the included studies, meta-regression and subgroup analy-sis were used. We employed Egger’s regression test and funnel plots for assessing publica-tion bias. STATA version 17.0 software was used for all statistical analyses.ResultsIn this systematic review and meta-analysis, the pooled prevalence of mortality among 7507ICU-admitted patients from 22 articles, who received MV was estimated to be 54.74% [95%CI = 47.93, 61.55]. In the subgroup analysis by region, the Southern Nations, Nationalities,
and Peoples (SNNP) subgroup (64.28%, 95% CI = 51.19, 77.37) had the highest preva-lence. Patients with COVID-19 have the highest mortality rate (75.80%, 95% CI = 51.10,100.00). Sepsis (OR = 6.85, 95%CI = 3.24, 14.46), Glasgow Coma Scale (GCS) score

Background: People in Sekela District, like others in Ethiopia, have a long tradition of using medicinal plants totreat human and livestock ailments. However, medicinal plants and their associated indigenous knowledge arecurrently under threat. Thus, the study was carried out to compile ethnobotanical knowledge about medicinalplants in the district.Methods: A total of 352 informants from six study sub-districts (328 general and 24 key informants) were selectedrandomly and purposefully. Individual interviews, focus group discussions, guided field walks, and marketsurveys were used to acquire ethnobotanical data using semi structured interview questions. The informantconsensus factor (ICF), fidelity level, preference ranking, direct matrix ranking, medicinal use, and Analysis ofVariance were used.Results: A total of 121 medicinal plants belonging to 106 genera and 55 families were documented. The Aster-aceae family had the most species with 11 (9 %), followed by Lamiaceae with 8 (6.6 %), while leaves were themost utilized part with 56 (37 %). The majority of the remedies were made as a concoction (32, 17 %) anddelivered orally (98, 57 %). There was a statistically significant difference in indigenous knowledge on medicinalplants among genders, ages, marital status, educational levels, and occupations (p ˂ 0.05). The dermatologicaldisease categories had the highest ICF (0.92) in human ailments.Conclusion: The study revealed that Sekela District is rich in medicinal plants for treating human and livestockailments, and has indigenous knowledge to utilize these resources effectively. However, overgrazing, agriculturalexpansion, and improper harvesting techniques threaten medicinal plants. This signals the need to make sig-nificant efforts to raise public awareness about their conservation and sustainable use.
Keywords: Ailments; Ethnobotany; Indigenous knowledge; Sekela; Traditional medicinal plants

Background: People in Sekela District, like others in Ethiopia, have a long tradition of using medicinal plants totreat human and livestock ailments. However, medicinal plants and their associated indigenous knowledge arecurrently under threat. Thus, the study was carried out to compile ethnobotanical knowledge about medicinalplants in the district.Methods: A total of 352 informants from six study sub-districts (328 general and 24 key informants) were selectedrandomly and purposefully. Individual interviews, focus group discussions, guided field walks, and marketsurveys were used to acquire ethnobotanical data using semi structured interview questions. The informantconsensus factor (ICF), fidelity level, preference ranking, direct matrix ranking, medicinal use, and Analysis ofVariance were used.Results: A total of 121 medicinal plants belonging to 106 genera and 55 families were documented. The Aster-aceae family had the most species with 11 (9 %), followed by Lamiaceae with 8 (6.6 %), while leaves were themost utilized part with 56 (37 %). The majority of the remedies were made as a concoction (32, 17 %) anddelivered orally (98, 57 %). There was a statistically significant difference in indigenous knowledge on medicinalplants among genders, ages, marital status, educational levels, and occupations (p ˂ 0.05). The dermatologicaldisease categories had the highest ICF (0.92) in human ailments.Conclusion: The study revealed that Sekela District is rich in medicinal plants for treating human and livestockailments, and has indigenous knowledge to utilize these resources effectively. However, overgrazing, agriculturalexpansion, and improper harvesting techniques threaten medicinal plants. This signals the need to make sig-nificant efforts to raise public awareness about their conservation and sustainable use.
Keywords: Ailments; Ethnobotany; Indigenous knowledge; Sekela; Traditional medicinal plants

Introduction: One of the main complications for stroke patients is aspiration pneumonia, which is an acute lunginfection brought on by the entry of endogenous flora and various bodily substances from the gastrointestinaltract into the respiratory system. Aspiration pneumonia following a stroke was linked to older age, gender,dysarthria, denture use, cerebral atrophy, and basal ganglia-infarcted foci. Despite improvements in care, theepidemiological and prognostic effects of pneumonia associated with stroke are increasing mortality andmorbidity.Objective: To assess the pooled prevalence of aspiration pneumonia among stroke patients in Ethiopia.Methods: Several databases, including PubMed/MEDLINE, EMBASE, Scopus, Google Scholar, African JournalsOnline (AJOL), grey literature, and articles from the repository of Ethiopian universities, were examined to findavailable articles. The data were extracted and sorted in Microsoft Excel and exported to STATA/MP 17.0 foranalysis. The Newcastle-Ottawa (NOS) was employed to assess each study’s qualities. A weighted inverse vari-ance random-effects model with a 95 % confidence interval was used to examine the pooled prevalence ofaspiration pneumonia. The Galbraith plot and funnel plot were used to evaluate heterogeneity and publicationbias, respectively. To identify the possible cause of heterogeneity, subgroup analysis and meta-regression wereperformed. P-values less than 0.05 were considered statistically significant.Result: The pooled prevalence of aspiration pneumonia among stroke patients in Ethiopia was 31.65 % (95 % CI:25.30–38.01). Visual examination of the Galbraith plot reveals the presence of significant heterogeneity (I2 =96.55 %, p < 0.001). Studies conducted in Addis Ababa and Harar revealed the highest prevalence of aspirationpneumonia: 37.67 % (95 % CI: 31.56, 43.78). Similarly, articles carried out before 2020 and studies done usingcross-sectional study design revealed the highest proportion of aspiration pneumonia: 32.97 % (95 % CI: 24.96,40.98) and 36.75 (95 % CI: 32.11, 41.38), respectively.Conclusion: Nearly one-third of stroke patients developed aspiration pneumonia. The highest prevalence wasreported in Addis Ababa and Harar regions. As a result, early detection, treatment, and control of stroke areadvisable to prevent the occurrence of aspiration pneumonia.
Keywords: Aspiration pneumonia, Stroke, Cerebrovascular accident, Systematic review, Meta-analysis, Ethiopia

Landslides are prevalent in the Ethiopian highlands, particularly in the east Gojjam zone, which is highly affectedby landslide problems. This research was carried out in the east Gojjam zone, northwestern Ethiopia. The studyarea is part of an economically important area in the country, and it is the main source of water for the GrandEthiopian Renaissance Dam (GERD). The main objective of this work was to undertake a detailed inventory ofpast landslide locations and prediction of present and future landslide hazards, as well as the preparation of alandslide zonation map in the East Gojjam zone by using the Analytical Hierarchy Process (AHP) with the GIStechnique. The parameters used for this study were slope degree, slope aspect, land use and land cover, roadproximity, rainfall, lithology, altitude, and river proximity. The various causative parameters were collected fromthe field, and suitable modifications were made to the thematic maps. Finally, the ratings for various parameterswere used as the basis to prepare the LHZ map in GIS windows. The landslide susceptibility and inventorymapping were produced in the GIS environment. The results of the study show that the main driving factors forthe landslide hazards in the area were river proximity, rainfall, and manmade activities. Validation of this LHZmap revealed that more than 80% of past landslides match within the "high hazard zone" and reasonablyaccepted the rationality of the adopted methodology. The considered parameters, as well as their evaluation ofthe production of LHZ-Map, were confirmed. The produced landslide inventory map is very important for urbanplanners, agricultural studies, environmentalists, and future landslide hazardous prevention and mitigationstrategies.
Keywords: GIS, AHP, Inventory mapping, Causative factors, Landslides

Sweet potato (Ipomoea batatas L.) holds significant promise in addressing economic challenges and malnutrition issues. However, various factorsin Ethiopia impede its production and consumption. This review investigates sweet potato potential as a versatile solution for nutritionalchallenges in Ethiopia. Although the global yield of sweet potato reaches 14 tons/ha, in Ethiopia, it stands at approximately 8.1 tons/ha. In Africa,sweet potato is known as the 'poor person’s crop' and is primarily grown on a small scale by women for subsistence. Sweet potatoes are rich inessential nutrients such as vitamins C and E, B vitamins, iron, zinc, potassium, and fiber. Additionally, in Ethiopia, sweet potato leaves are utilizedas food, animal feed, and traditional medicine. Notably, they contain high levels of lutein (ranging from 38-51 mg/100 g), surpassing those foundin kale (38 mg/100 g) and spinach (12 mg/100 g). Leaves encompass protein (25%−37%), carbohydrate (42%−61%), crude fat (2%−5%), fiber(23%−38%), ascorbic acid (60−200 mg/100 g), and carotene (60−120 mg/100g). Malnutrition is continued as a major hurdle for millions ofEthiopians. Currently, stunting, wasting, and vitamin A deficiency (VAD) stand as the primary factors contributing to premature mortality inEthiopia. Despite the country's considerable potential for sweet potato cultivation and utilization, both yields and consumption remainremarkably low. Lack of clean planting materials, pests and diseases, knowledge gap, and poor market system are the key challenges of sweetpotato production in Ethiopia. Hence, to ease the malnutrition problems in Ethiopia, sweet potato production and utilization should be adept in abroader range.

Abstract: Forests play a crucial role in mitigating theimpacts of climate change by sequestering carbon in theirbiomass and soil. However, Ethiopia faces the threat of soilcarbon emissions due to deforestation and continuous cul-tivation. This study reviewed the analogies in phytobio-mass and soil carbon evaluation methods in Ethiopia.Index-base and year-wise analysis methods were used forthe compilation of the study. Developing nations, such asEthiopia, duly enhance resilient measures to assess forestcarbon stocks for effective climate change mitigation, parti-cularly with reference to emissions from deforestation anddegradation. Even though more than 90% of Ethiopia’senergy comes from forest biomass, deforestation signifi-cantly affects the carbon stored in aboveground biomass,which is the largest reservoir. Estimating forest biomassand carbon emissions entails uncertainties, with errorranges around ±50% for aboveground pools and ±90% forsoil carbon pools. Various tier methodologies are employedby experts to estimate forest biomass and carbon stock emis-sions, with Tier 2 factors serving as default emissions butcountry-specific factors offering improved accuracy overTier 1. Tier 3 methodologies require highly specific inven-tory data on carbon stocks in different pools and commonmeasurements of key carbon stocks. Forest conservationenhances biodiversity, ecosystem resilience, and essentialecosystem services, fostering soil health, regulating watercycles, and supporting diverse plant and animal species.In conclusion, directing efforts towards forest conservationnot only helps maintain biodiversity and ecosystem servicesbut also significantly contributes to mitigating climate change
by enhancing carbon storage capacities and reducing green-house gas emissions.Keywords: allometric equations, carbon stock, carbon accounting, climate change, tie