Intercropping is an essential farming system that combines multiple crop speciessimultaneously. in ethiopia, pepper and Black cumin are interplanted with various crops,influenced by diverse environmental and agronomic factors. this review examines the impactof intercropping pepper and Black cumin on the performance of component crops andsystem productivity in ethiopia. Farmers in tropical regions practice intercropping widely toreduce dependence on monoculture, manage risks from pests, diseases, and climate variability,and enhance resilience. By integrating pepper and Black cumin with other crops, small‑scalefarmers in developing countries like ethiopia diversify crop production and improve yields.Most smallholder farmers in ethiopia cultivate plots smaller than one hectare. the landequivalent ratio is a key measure for evaluating intercropping efficiency. However, indicessuch as relative Yield total, Staple land equivalency ratio, Area time equivalency ratio, andArea Harvest equivalency ratio are also applied globally. these indices help assess the benefitsof intercropping in terms of land use and time management. to maximize productivity,farmers must carefully select crops that balance resource competition, resist pests anddiseases, and ensure yields with superior quality. promoting sustainable intercropping practicescan boost agricultural output and contribute to food security in ethiopia and similar regions.
KEYWORDS: indices; multiple cropping; sole cropping; spatial arrangement

Background: Informed consent (IC) is a principle in medical ethics and medical law that a patient must have adequate information and understanding before making decisions about their medical care. It is very essential for both clinician and patient in surgery and should be seen as a usual activity. Knowledge is one of the main intervention tools to improve patient comprehension in informed consent for surgical patients. In Ethiopia, little is known about the knowledge level and its determinant factors toward obstetric and gynecologic surgical informed consent. Due to this reason, this study aimed to assess the level of knowledge and associated factors of surgical informed consent among patients who underwent obstetric and gynecologic surgery at Debre Markos Comprehensive Specialized Hospital.
Methods: An institutional-based cross-sectional study was conducted from 28 November to 30 December 2023, among 298 postoperative women admitted to Debre Markos Comprehensive Specialized Hospital. Data were collected using a pretested, structured interviewer-administered questionnaire by using a systematic random sampling technique. The collected data were entered into EpiData version 4.6 and then exported to SPSS statistical software version 25 for analysis. A multivariable logistic regression analysis was employed to estimate the effect of independent variables on the outcome variable. An adjusted odds ratio [adjusted odds ratio (AOR)] with a 95% confidence interval (CI) was computed to report the presence of association between the dependent and independent variables. Statistical significance was determined at a P-value of

Background Providing timely first-aid by trained responders can reduce deaths and disabilities from road trafficaccidents, a leading global cause of death. Ethiopia ranks 19th worldwide and 4th in Africa. Therefore, this studyassesses the knowledge and, attitudes toward emergency first aid, and its factors among public transport drivers inInjibara, Ethiopia.Objective To assess the Knowledge, and Attitude towards first-aid utilization and its associated factors among PublicTransport Service Drivers in Injibara, Northwest Ethiopia, 2023.Methods A cross-sectional study was conducted involving 419 public transport drivers, selected systematicallybased on vehicle side numbers, starting with a random choice for the first respondent. Subsequent participants werechosen at every second interval (k = 2). A structured questionnaire was used to collect relevant data. Binary logisticregression was performed using SPSS V.26 to assess the associations between independent and dependent variables.The strength of these associations was measured using odds ratios and 95% confidence intervals, with a P-value < 0.05deemed statistically significant.Result The study revealed that the prevalence of good knowledge and favorable attitudes toward first-aid utilizationwas 33.2% and 38.2%, respectively. Participation in first-aid training (AOR = 0.566, p = 0.027), access to a first-aid kit(AOR = 1.65, p = 0.027), and prior experience using first-aid at accident scenes (AOR = 0.476, p = 0.014) were factorsassociated with better first-aid utilization. Drivers who had used a first-aid kit (AOR = 0.476, p = 0.014) and thoseexposed to training (AOR = 0.486, p = 0.034) demonstrated more positive attitudes toward first aid.Conclusion The knowledge and attitude toward first-aid utilization remain low. Participation in first-aid training,access to first-aid kits, and experience using them during accidents were factors associated with improvedknowledge. Additionally, drivers who have used first-aid kits and received training tend to have a favorable attitude
toward their use. Therefore, relevant authorities must enhance the availability of first-aid kits, increase the exposure ofdrivers, and provide training to drivers to increase their knowledge and favorable attitude towards first-aid utilization.Clinical trial number Not applicable.Keywords Knowledge, Attitude, First aid, Transport service, Ethiopia

BACKGRouNd: Trachoma is the leading infectious cause of blindness worldwide, particularly impacting the poorest nations, includingEthiopia.oBjECTivE: To assess knowledge, practice, and associated factors of trachoma transmission and prevention among primary school stu-dents in Addis Zemen town, South Gondar, Northwest Ethiopia, 2022.METhodS: An institution-based cross-sectional study was conducted on 407 randomly selected primary school students (grades 5-8),aged 10 to 24 years. Data collection included face-to-face interviews using structured questionnaires and an observation checklist. Epi-dataversion 4.2.0.0 and SPSS version 20 were used to enter and analyze the collected data, respectively. The data were analyzed using thedescriptive statistical method and using bivariable and multivariable logistic regression models. Variables with a P-value

This study investigates the status of biomass stove usage in East Gojjam, Ethiopia, and evaluates the health, economic, and environmental benefits of an improved biomass stove which was designed and fabricated using locally available materials. Major challenges in the study areas were uses of traditional three-stone stoves, which are inefficient and produce harmful emissions. The study aims to assess the status of stoves used, source, amount and type of biomass consumption per household, to analyze the health impact of improved biomass stove with conventional stove and to analyze the economic and environmental impact of the conventional and improved stove.Two stove models were fabricated: one for household use and another for institutional settings. Construction materials included angle iron, sheet metal, ceramic tiles, sand, and clay for insulation. Eucalyptus wood a commonly used local biomass fuel was standardized for all testing, including oven drying and storage procedures. Performance evaluation was based on cooking time, fuel consumption, and emissions (CO and PM2.5), using laboratory and field tests. Additional data were collected through surveys, interviews, focus group discussions, and direct observations from 400 households across three districts: Dejen, Yedwuha and Debrework.According to the result; the improved biomass stove significantly outperformed the conventional three stone stove: reducing cooking time by 51.61%, fuel consumption by 12.34%, carbon monoxide emissions by 99.72%, and PM2.5 emissions by 75.52%. It also demonstrated substantial environmental benefits, including lower firewood demand and reduced deforestation. Economically, households saved over 3,225 birr per year in fuel and time costs.In conclusion, the improved biomass stove offers a viable, scalable solution to Ethiopia’s household energy and health challenges. Its adoption can significantly mitigate household air pollution, improve public health, reduce environmental degradation, and strengthen economic resilience, particularly for women and children. The study recommends expanding the dissemination of the improved biomass stoves through targeted policy support, community education, and financing mechanisms.

Illnesses associated with consuming infected milk and milk products are a widespread problem inlow and middle-income countries. Shiga toxin-producing Escherichia coli (STEC) is a bacteriumcommonly found in raw milk and causes foodborne diseases ranging from mild diarrhea to severehemorrhagic colitis and hemolytic uremic syndrome. This study aimed to investigate the viru-lence gene and antimicrobial resistance profiles of Shiga toxin-producing E. coli strains isolatedfrom raw milk in dairy farms in and around Bahir Dar town. Raw milk samples (n = 128)collected from December 2021 to July 2022 were cultured, and E. coli strains were isolated usingstandard methods. Shiga toxin-producing E. coli strains were identified genotypically by thepresence of the virulence markers using a single-plex polymerase chain reaction. The antibioticsusceptibility testing of Shiga toxin-producing E. coli isolates was done by the agar disk diffusionmethod. In total, 32 E. coli isolates were recovered from milk samples from lactating animals. PCRscreening of these isolates resulted in 19 (59.3%) positives for Shiga toxin-producing E. coli. Thestx2 gene was detected in 53% of cases, followed by stx1 (31%) and eae (16%. The STEC isolateswere highly sensitive to ciprofloxacin (94.7%) and kanamycin (89.5%), while exhibiting signif-icant resistance to amoxicillin (89.5%) and streptomycin (73.7%). The present study points outthe occurrence of virulent and antibiotic-resistant Shiga toxin-producing E. coli strains in raw milkthat could pose a potential risk to public health. Further analysis by whole genome sequencing isnecessary for an in-depth assessment and understanding of their virulence and resistance factors.Moreover, large-scale studies are needed to identify the prevalence and potential risk factors andto prevent the spread of antibiotic-resistant STEC strains in the milk production chain.

Background and Purpose: Staphylococcus aureus is a common pathogen responsible for causing various human and animalinfections and is well known for its ability to develop resistance to multiple antibiotics. This study aimed to evaluate the occurrence ofmethicillin-resistant Staphylococcus aureus (MRSA) in bulk milk and dairy farms in northwestern Ethiopia and to determine theirphenotypic and genotypic antimicrobial susceptibility patterns.Methods: We collected 50 bulk milk samples from 50 dairy farms and 50 hand swabs from dairy milkers. The cefoxitin disk diffusiontest and PCR-based assays were used to identify MRSA isolates. In addition, cefoxitin-resistant isolates were tested for susceptibilityto other antibiotics using the Kirby-Bauer disk diffusion method.Results: The results showed that MRSA was detected in 8 samples: 6 from bulk milk samples (12%) and 2 from hand swabs (4%). AllMRSA isolates exhibited a high resistance rate to penicillin (100%), followed by tetracycline (75%), ciprofloxacin (25%), chloram-phenicol (25%), erythromycin (25%), gentamycin (12.5%), and trimethoprim-sulfamethoxazole (12.5%). Moreover, 72% of theisolates showed resistance to three or more antibiotic classes and were classified as multidrug-resistant.Conclusion: This study identified methicillin-resistant Staphylococcus aureus and multidrug-resistant MRSA in bulk milk and dairyfarms in northwestern Ethiopia. These findings highlight the potential risk of transmission of these antibiotic-resistant bacteria tohumans and the need for improved antibiotic stewardship in the dairy sector using the One Health approach.Keywords: dairy farms, Ethiopia, humans, MRSA, bulk milk, resistance

Object tracking is a technique for finding moving objects of interest and estimating their trajectoryor path with regard to time in a series of images. It involves object representation, detection,and tracking. It becomes an important field of study due to the need in video surveillance, trafficmonitoring, live sport video analysis and many other applications. In this paper, both static camera-based and dynamic camera-based object tracking techniques have been developed. The static camera-based object tracking was developed with NI LabVIEW, and Shape adaptive mean-shift algorithmhas been used for tracking. In case of dynamic camera-based object tracking, an optimal Fuzzy-PIDcontroller has been designed to adjust the position of the pan/tilt mechanism so as to trace the object’strajectory. Genetic algorithm (GA) was used to find the optimal values of the operating ranges (scalingfactors) of the membership functions. The performance of the system has been tested by differenttrajectories like step, sinusoidal, circular and elliptical at different frequencies 1, 50 and 100 rad/sec.The system has best performance at low frequencies and when the frequency or speed of the objectincreases, the system performance decreases which complies for real systems. The simulation resultsdemonstrate that GA tuned Fuzzy-PID controller has given us the best results in terms of reducedsteady-state error, faster rise time and settling time, and object position stabilization than PID,Fuzzy and Fuzzy-PID controllers, which shows that optimal Fuzzy-PID controller designed is moreappropriate and efficient.Keywords: Object tracking, LabVIEW, Fuzzy-PID, Pan/Tilt system, Genetic algorithm

This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizingthe placement and sizing of photovoltaic renewable energy sources (PVRES) and capacitor banks(CBs) in electric distribution networks. The main goal is to minimize energy losses and enhance voltagestability over 24 h, taking into account varying load profiles, solar irradiance, and temperature effects.The algorithm is rigorously tested on standard distribution networks, including the IEEE 33, IEEE69, and ZB-ALG-Hassi Sida 157-bus systems. The results reveal that EM-BT outperforms establishedmethods like Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale OptimizationAlgorithm (WOA), demonstrating its effectiveness in reducing energy losses and maintaining stablevoltage profiles. By effectively combining PVRES and CBs, this research highlights a robust approach toenhancing both technical performance and operational reliability in distribution systems. Additionally,the consideration of temperature effects on PVRES efficiency adds depth to the study, making it avaluable contribution to the field of power system optimization.Keywords: Efficient Metaheuristic BitTorrent (EM-BT) algorithm, Photovoltaic renewable energy sources(PVRES), Capacitor banks (CBs), Energy loss minimization, Particle Swarm Optimization (PSO), Grey WolfOptimizer (GWO), Whale Optimization Algorithm (WOA), Operational reliability

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