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Pre-Extension Demonstration of Shiro Type Field Pea Technologies in the Highlands of Guji Zone, Oromia Regional State, Ethiopia
Get PDFFor improvement of field pea production, agricultural research centers have released many varieties. However, productivity of field pea is low due to insufficient demonstration of released and adapted varieties at farmers’ level. Hence, demonstration of released and improved varieties is the key approval for large scale production of field pea. Therefore, this experiment was exhibited at three highlands to estimate profitability and evaluate the yield of shiro kind field pea varieties. The Bilalo variety was demonstrated with local varieties by 12 farmers during the year 2022. Yield and costs of production were collected. The data was analyzed through cost benefit analysis and descriptive statistics. The result indicated that the Bilalo variety gave a better yield (25.92 Qt/ha) compared to the local variety (18.33 Qt/ha). Cost benefit analysis indicated that the Bilalo variety gave better returns (108672 ETB/ha) compared to the local variety (54022 ETB/ha). Farmers prefer the Bilalo variety because it provides a higher harvest, is more disease tolerant and has high market value over the local variety. The use of the improved shiro field pea variety is significant for yield increment and profit growth. Thus, the Bilalo variety should be used for shiro type field pea production in highland areas. Additional research is desirable to promote the Bilalo variety through scaling up in the highland and similar agro-ecologies of the Guji zone
Research on Industrial Economic Development and Electricity Price Adjustment Strategy Based on Multi-Agent Game
Get PDFWith the deepening of the electricity market reform and the accelerating transformation of the new power system, the number of new electricity customers in the market with local development characteristics has increased. The local industrial and economic development have been affected by the ability to guide electricity prices. In this paper, using the multi-agent game based on exploring the impact of electricity price on the industrial economy, the specific optimization scheme of electricity price adjustment is proposed with the aim of improving the overall efficiency of the power grid and reducing the cost of electricity for industrial users. After the game, the overall efficiency of the electricity supplier will be increased by about 3.06 percent, and the cost of electricity used by various special industries will be reduced by about 6.86 percent to 4.48 percent. The win-win situation of the electricity suppliers’ income and the featured industries’ development can be achieved by the optimization results. As well as the cost of electricity consumption in featured industries can be reduced, and the comprehensive benefits of electricity suppliers can be improved by using the electricity price adjustment scheme after game interaction, which promotes the rational use of energy and meets the current social requirements for the green and sustainable development of the electricity industry
Examining Space Efficiency in Supertall Towers through an Analysis of 135 Case Studies
Get PDFThis study addresses the critical need for a comprehensive exploration of space efficiency in supertall buildings, a crucial aspect of skyscraper architecture with profound implications for sustainability. Despite the paramount importance of spatial utilization, the existing literature lacks a thorough investigation into this domain. This research aims to fill this significant gap by conducting an exhaustive analysis based on data from 135 case studies. The proposed model for evaluating space efficiency yielded compelling technical insights. The key metrics employed in this examination include: (1) average space efficiency: the findings revealed an average space efficiency of about 72%. This metric provides a quantitative measure of how effectively space is utilized in supertall buildings. (2) core area proportion: on average, the proportion of core area to the gross floor area was around 24%. This metric sheds light on the distribution of core areas within the overall structure, impacting both functionality and spatial optimization. This study also highlighted notable trends and characteristics observed in the examined cases: (3) central core design: the majority of skyscrapers featured a central core design tailored primarily for mixed-use purposes. This architectural choice reflects a strategic approach to maximize functionality and versatility in supertall structures. (4) structural systems: The outriggered frame system emerged as the prevailing structural system, with composite materials commonly used for the structural components. This insight into prevalent structural choices contributes to the understanding of the technical aspects influencing space utilization in skyscraper design
Solving System of Mixed Ordered Variational Inequalities Involving XOR and XNOR Operations in Ordered Product Banach Space
Get PDFIn this article, we study a generalized system of mixed ordered variational inequalities problems with various operations in a real ordered product Banach space and discuss the existence of the solution of our considered problem. Further, we discuss the convergence analysis of the proposed iterative algorithm using XNOR and XOR operations techniques. Most of the variational inequalities solved by the projection operator technique but we solved our considered problem without the projection technique. The results of this paper are more general and new than others in this direction. Finally, we give a numerical example to illustrate and show the convergence of the proposed algorithm in support of our main result has been formulated by using MATLAB programming.
2010 AMS Subject Classification: 47H09; 49J40
New Breeding Localities of Stock Pigeon (Columba oenas Linnaeus, 1758) in Bulgaria: Do Game Feeding Grounds Contribute to Increasing Distribution of the Species?
Get PDFBetween 2020-2023, seven UTM squares were visited in Balkan Mountain and Sarnena Sredna Gora Mountain. Five new localities of Stock Pigeon with a certain breeding category were reported. In three of them, the birds regularly visited feeding grounds for big game. In two of the localities, the breeding category was determined as confirmed breeding, and in the remaining three was probable breeding. In the present study, food complexes in some of the squares provided the seed supply at the beginning of the breeding season, and croplands, pastures, and meadows provided food resources during the fledging period, this is also the most likely reason for the increase in the breeding distribution of the species in the studied area
Morphology of the Urban Phenomenon and Its Relation with Urban Livability
Get PDFThe livability of a city is a crucial aspect that greatly influences the well-being of its residents, and its relationship with the city's morphology is significant. This study aims to examine the correlation between block livability and block form. In the first step, the goal is to propose a quantitative model, the "Livable Block Index (LBI)," to measure the level of livability. The LBI considers the multi-functionality of urban zones as a key factor in measuring block livability, analyzing both the variety of uses within each lot and the distribution of uses across the block. Additionally, the study investigates the form of urban blocks, considering their area, shape, and proportions. The proposed model is applied to specific districts in Tehran, using Grasshopper for data modeling, visualization, and analysis. Initial findings reveal a meaningful relationship between block form and livability levels; however, it is apparent that a comprehensive understanding requires the consideration of additional parameters. Further research is necessary to develop a more comprehensive view of the correlations between urban block form and livability
Post-Pandemic Public Space: How COVID-19 May Permanently Alter the Public Realm
Get PDFThis research looks at the impact that pandemics can have on public space. The goal of the research was to learn from the past to anticipate the long-term effects of COVID-19 on the public realm. The research involved exploring the history of the effects of two major global pandemics – the 19th C. Cholera and the 20th C Influenza pandemics – as well as documenting the effects of COVID-19 as they occurred. The main finding of the research is that pandemics have long-lasting impacts on public space, although each has a somewhat different effect, depending upon whether it is bacterial or viral-based and how different countries and cultures respond. The research also shows that COVID-19 has been unique in rebalancing what we do in-person or remotely, physically or digitally, which will likely have profound effects on the use of public as well as private space. This, in turn, will demand a re-evaluation of public policies, many of which are based on pre-pandemic assumptions about in-person interactions as the primary way in which people work, shop, learn, and live
Interpretation of Neural Network Models – New Insights of Estimating Static Bottom-Hole Pressures of Gas Wells in Nigerian Petroleum Provinces
Get PDFMethods to determine static bottom-hole pressure (BHP) from surface measurements include the average temperature and z-factor method, the Sukkar-Cornell method, the Cullender-Smith method, and the Poettmann method. Among these methods, the Poettmann method is preferable in the petroleum industry but with a concern for software developers, as the integral values to determine the static BHP are tabular. In this study, neural network-based models to predict the integral values using pseudo-reduced pressures and temperatures were developed. The 2-3-1, 2-4-1, and 2-5-1 neural-based models had overall correlation coefficients (R) of 0.9974, 0.99835, and 0.99745, respectively, for the maximum-minimum normalization method and R of 0.99745, 0.99805, and 0.9992 for the clip-scaling method. Comparing the models' predictions with the Lagrangian interpolated values resulted in R of 0.99895 and 0.9995 for the maximum-minimum and clip-scaling-based models. Thus, the developed models can predict Poettmann's integral values without table look-up to estimate static BHP in gas wells
Landslide Hazard Assessment Model for Slope Stability Analysis
Get PDFSoil moisture dynamics is a complex phenomenon that depends on the atmospheric conditions, the geomorphological characteristics of the region under study, and the corresponding land use. It can be formally described by a diffusion model based on Darcy’s law and the law of mass continuity. In this work, the obtained numerical solution of the hydrological model has been exploited to evaluate the soil moisture in a given region and build a risk map for the slope stability of this region. More in detail, the infinite slope model from slope stability analysis has been used for evaluating the safety factor and constructing the corresponding quantitative hazard maps. Some results of the proposed method applied to a real case study are shown and discussed
A Conformable Inverse Problem with Constant Delay
Get PDFThis paper aims to express the solution of an inverse Sturm-Liouville problem with constant delay using a conformable derivative operator under mixed boundary conditions. For the problem, we stated and proved the specification of the spectrum. The asymptotics of the eigenvalues of the problem was obtained and the solutions were extended to the Regge-type boundary value problem. As such, a new result, as an extension of the classical Sturm-Liouville problem to the fractional phenomenon, has been achieved. The uniqueness theorem for the solution of the inverse problem is proved in different cases within the interval (0,π). The results in the classical case of this problem can be obtained at α=1.
2000 Mathematics Subject Classification. 34L20,34B24,34L30