4,325 research outputs found

    The Socio-Economic Factors Influencing Variations on Household Food Status in Bahi District, Tanzania

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    This paper is an attempt to examine the socio-economic factors influencing variations on household food status in Ibugule and Kigwe villages, Bahi district, Tanzania. A mixed method approach through cross sectional research design was employed to 130 household heads aged 18 years and above. Interviews, focus group discussion, documentary review and field observation techniques were used in data collection. Descriptive statistics including frequencies and percentages were used to analyze quantitative data while content analysis has been used to analyze qualitative data. The relationship between demographic characteristics and the status of household food security was tested through Pearson Chi-square Tests at 5% significant level. The main socio-economic factors identified as influencing variations on household food status were demographic variables such as sex, age, marital status, household sizes and household heads’ occupations. Other factors include labour variations, variations on the use of agricultural inputs and equipments as well as improper usage of household grains. The correlation results indicate significant influence of sex, marital status, education level, household size and occupation on household food status variations while age had insignificant influence.  It is concluded that, variations on household food status in Bahi district is aggravated by socio-economic characteristics though the amount of grain harvested is mainly controlled by climatic factors.  Therefore, in addition to providing food aid at times of dire food shortages caused by recurring droughts, other measures such as education on post-harvest loses, proper use of the harvested grains, availability of soft loans and provision of agricultural education on good farming techniques ought to be effected in order to improve crop production and supply consequently, reduce transitory households food insecurity. Keywords: Socio-economic factors, household food status, transitory food insecurity, grains, Bahi, Tanzania

    Implications of Data Sampling Resolution on Water Use Simulation, End-Use Disaggregation, And Demand Management

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    Understanding the tradeoff between the information of high-resolution water use data and the costs of smart meters to collect data with sub-minute resolution is crucial to inform smart meter networks. To explore this tradeoff, we first present STREaM, a STochastic Residential water End-use Model that generates synthetic water end-use time series with 10-s and progressively coarser sampling resolutions. Second, we apply a comparative framework to STREaM output and assess the impact of data sampling resolution on end-use disaggregation, post meter leak detection, peak demand estimation, data storage, and meter availability. Our findings show that increased sampling resolution allows more accurate end-use disaggregation, prompt water leakage detection, and accurate and timely estimates of peak demand. Simultaneously, data storage requirements and limited product availability mean most large-scale, commercial smart metering deployments sense data with hourly, daily, or coarser sampling frequencies. Overall, this work provides insights for further research and commercial deployment of smart water meters

    Synthesis and cytotoxicity evaluation of thiazole derivatives obtained from 2-amino-4,5,6,7-tetrahydrobenzo[b]thiophene-3-carbonitrile

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    Reactivity of 2-amino-4,5,6,7-tetrahydrobenzo[b]thiophene-3-carbonitrile towards thioglycolic acid resulted in thiazole derivative 1. The latter reacted with different chemical reagents to give thiazole, pyrano[2,3-d]thiazole and thiazolo[4,5-d]thiazole derivatives. Cytotoxicity effects of the newly synthesized products against six cancer cell lines, namely, human gastric cancer (NUGC), human colon cancer (DLD-1), human liver cancer (HA22T and HEPG-2), human breast cancer (MCF) and nasopharyngeal carcinoma (HONE-1) as well as against a normal fibroblast cell (WI-38) were evaluated. The study showed that the 4,5,6,7 tetrahydrobenzo[b]thiophene derivatives 6a, 7, 8a,b, 9b and 10b,c were the most active compounds. Their potencies were attributed to the presence of the electron withdrawing groups

    Combining Evolutionary Algorithms and Average Overlap Metric Rules for Medical Image Segmentation

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    Abstract: In this paper, we explore a new algorithm based on evolutionary algorithms and fusion concepts for improving medical image segmentation. The proposed approach starts by finding seeds that cover the image using genetic algorithm (GA). This initial partition is used as the seed to a computationally efficient region growing method to produce the closed regions. The average overlap metric (AOM) is used to classify these regions into groups based on the similarity criterion. The fusion modules are applied to each group to find the points that label the suite membership values. The different fusion rules will be applied to these groups to produce a set of chromosomes to select the best data in each chromosome to represent the final segment. To prove the efficiency of the proposed algorithm, the proposed algorithm will be applied to challenging applications: MRI datasets, 3D simulated MRIs, and gray matter/white matter of brain segmentations

    Effect of annealing temperature on structural, morphology and dielectric properties of La0.75Ba0.25FeO3 perovskite

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    The effect of annealing temperature on the structure, morphology and dielectric properties of La0.75Ba0.25FeO3 compound prepared by the sol-gel method was investigated. The increase of the annealing temperature from 900 to 1100 °C, promotes an increase of the average grain size value. Two dielectric relaxations are detected using the dielectric modulus formalism, attributed to grain and grain boundary relaxations. This behavior was confirmed by both Nyquist and Argand's plots of dielectric impedance and Modulus results at different measuring temperatures. The ac conductivity could be described by Jonscher's power law revealing the presence of both overlapping large polaron tunneling and non-overlapping small polaron tunneling mechanisms.publishe

    High Synthetic Image Coding System

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    Compressing an image and reconstructing it without degrading its original quality is one of the challenges that still exist now a day. A coding system that considers both quality and compression rate is implemented in this work. The implemented system applies a high synthetic entropy coding schema to store the compressed image at the smallest size as possible without affecting its original quality. This coding schema is applied with two transform-based techniques, one with Discrete Cosine Transform and the other with Discrete Wavelet Transform. The implemented system was tested with different standard color images and the obtained results with different evaluation metrics have been shown. A comparison was made with some previous related works to test the effectiveness of the implemented coding schema

    How the recent BABAR data for P to \gamma\gamma* affect the Standard Model predictions for the rare decays P to l+l-

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    Measuring the lepton anomalous magnetic moments (g2)(g-2) and the rare decays of light pseudoscalar mesons into lepton pairs Pl+lP\to l^{+}l^{-} , serve as important tests of the Standard Model. To reduce the theoretical uncertainty in the standard model predictions, the data on the charge and transition form factors of the light pseudoscalar mesons play a significant role. Recently, new data on the behavior of the transition form factors PγγP\to\gamma\gamma* at large momentum transfer were supplied by the BABAR collaboration. There are several problems with the theoretical interpretation of these data: 1) An unexpectedly slow decrease of the pion transition form factor at high momenta, 2) the qualitative difference in the behavior of the pion form factor and the η\eta and η\eta^\prime form factors at high momenta, 3) the inconsistency of the measured ratio of the η\eta and η\eta^\prime form factors with the predicted one. We comment on the influence of the new BABAR data on the rare decay branchings.Comment: 11 pages, 3 figure
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