Background: Historically, nurses have relied on expert' opinions in clinical decision-making. However, these ways of practicing may not only be outdated but unsafe. Experienced-based knowledge may be associated with biased thinking that lead to errors. Objective: Assessment of nurses' perceptions, level of use and barriers on Evidence Based Practice. Method: Two hundred ten nurses were assessed through self-administer questionnaires for quantitative and fifteen nurses were also involved in in-depth interview for qualitative. The quantitative data was analysis in SPSS version 21. The qualitative was analyzed through open code. Results: 90% and 73.8% have good perception and positive attitude respectively. Of the total 210 121(57.6%) of nurses were integrate EBP in their clinical practice. Only 19 (15.7%) use EBP in their clinical practice always. Knowledgeable (AOR 3.2 95%CI 1.5-7.0); skill, (AOR 2.4, 95%CI 1.1-5.4); free time (AOR 7.9, 95%CI 3.5-17.6); supportive nursing managers (AOR 5, 95%CI 1.7-14.5) have significant association with implementation of EBP. But, year of experience and perception have no association. Conclusion: Both individual and organizational factors are the predominant factors that hinder implementation of EBP. So, hospital managements and nursing leaders can easily overcome some of these barriers through arranging EBP training.

Background: Africa is the most vulnerable continent in the world; which recurrent droughts, extreme temperature and rainfall affects agriculture and food security. The aim of this study was to analyze the trends in extreme temperature and rainfall in major sesame producing areas in western Tigray using RClimDex software. We selected eight temperature and nine rainfall indices from 27 extreme temperature and rainfall indices, which are recommended by joint CCL/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices (ETCCDI). A non-parametric Mann-Kendall test and Sen's slope estimates were used to test the statistical significance and trend of each of the extreme temperature and rainfall indices, respectively.Results: Number of heavy rainy days, number of very heavy rainy days, very wet days, extremely wet days, and maximum 5 days precipitation showed a negative trend, with significant (p < 0.05) decrease throughout the study area. Monthly maximum value of maximum and minimum value of maximum temperature, monthly maximum and minimum value of minimum temperature, hot days and hot nights revealed positive trend throughout the study areas. Total rainfall was decreasing significantly (p < 0.05) by 13.34 mm, 13.8 mm, 14.65 mm, 10.9 mm and 8.4 mm/year at Humera and Dansha, Adiremets, Maygaba, Maytsebri and Sheraro, and Adigoshu, respectively. Spatial analysis on extreme temperature also indicated there was relatively lower variability on minimum temperature in Humera, Dansha, Adiremets, and Adigoshu. On average, the western part of Tigray experienced a reduction in total rainfall ranging 8.45 to 14.7 mm/year; and increase in average maximum temperature of 0.04 to 0.051 °C/year since 1983 to 2016. The results also revealed an increase in warm nights and warm days ranging from 0.31 to 0.62 days, and 0.38 to 0.71 days/ year, respectively. Conclusions:Increase in temperature and decrease in amount of rainfall may have a negative impact on crop transpiration, photosynthetic rate and soil water balance; exacerbating distribution and infestation of malaria and leishmaniasis. The results in this study could have an important role in identifying possible present and future production strategies on sesame, cotton, and sorghum crops, which are essential cash crops produced by farmers and investors.

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Exploring micro-level evidences is critical to fine tune effective adaptation options to cope with the adverse impact of climate change. In this regard, detailed studies on climate change adaptation options are not available in the study areas. Hence, the objective of this study was to assess farmers' climate change adaptation options and determinant factors that influence their choice. Data were collected from 253 respondents randomly using probability proportional to the sizes (PPS) of the population of each district and peasant association from which sample households to be drawn. Descriptive statistics were employed to assess adaptation options while the multinomial logit model (MNL) was used to identify factors influencing households' choices. The results revealed that farmers use change in crop type /variety, soil and water conservation practices, crop diversification, change in planting date and irrigation practices as climate change adaptation options. Educational level of the household head, age of the household head, sex of the household head, farm income, access to extension service, access to credit, access to climate information and agro-ecological settings were the most important determinant factors that affect significantly the choice of farmers to climate change adaptations. Therefore, an effort that enhances farmers' awareness to climate change and creates the capacity to adopt climate resilient options is an important strategy that should be considered by a variety of societal groups, including policy makers, and farmers support organizations.

Climate change/variability is a global concern that is seriously affecting developing and least developed countries which rain-fed based agriculture is predominantly the basis for their livelihood and socioeconomic system. Adverse impacts of climate change and variability, in most developing and least developed countries like Ethiopia, is growing in time and exert pressure on agricultural systems which changes the balance among the key determinants of crop growth and yield. As a result, the demand for investigating and understanding the expected negative impacts of climate change and variability on food production is increasing. Accordingly, this study tried to investigate impacts of climate change on sorghum production using projected future climate scenarios data. Climate change scenario data for 20 global climate models were downscaled from the fifth assessment report on coupled model intercomparison project of intergovernmental panel on climate change. CERES-Sorghum model was calibrated and validated using soil, weather and crop management data conducted at Kobo agricultural experiment site. The result revealed that yield variation was observed across locations, climate models and time periods considered. Despite uncertainties, maximum yield reduction in sorghum is projected by the end of the 21st century when maximum insolation has reached 8.5 W/m 2 . In general, the result indicated that, sorghum production in north eastern Ethiopia is expected to be affected negatively in the future. Therefore, this finding would give a preliminary information for policy and decision making process to enhance climate change adaptation.