8,457 research outputs found

    On Some Properties of a Class of Analytic Functions Defined by Salagean Differential Operator

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    In this work,the upper bounds for Fekete-Szego functional and Second Hankel Determinant are obtained for a class of analytic functions definedby Salagean Differential Operator.The estimates obtained are sharp. &nbsp

    Farmers Utilization of Farm - Radio Programmed for Marketing of Agricultural Commodities in Oyo State, Nigeria

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    Radio can persuade and effectively influence large audience, thereby contributing substantially to the building of national consensus. It is a powerful instrument in the area of public enlightenment, on health issues, family planning, cultural reawakening, and marketing of agricultural products, business improvement and other social issues. The study examined the used of radio for the marketing of agricultural products in Oyo State, Nigeria. A random sampling technique was used to select one hundred and fifty (150) farmers for the study. The results of the findings showed that majority of the respondents (66.7%) were women with most of them between 41-50years of age. Majority of the respondents were married (67.3%) and educated (72.0%), which has positive effect on their use of marketing information. Farming constitutes the major occupation (81.3%) of the respondents, with many of them (68.0%) having between 6-15years farming experience. The result further shows that majority of the farmers (84.0%) used the radio agricultural programme as their agricultural market information source. Inferential statistics results indicate that there were significant relationship between farmers use of farm-radio programme for marketing agricultural commodities and educational attainment (X2 = 16.35; < 0.05) and primary occupation (X2 = 61.25; < 0.05). However age (X2 = 5.54; > 0.05) and marital status (X2 = 10.46; > 0.05) among other variables had no significant relationship with the use of farm-radio programme for marketing agricultural commodities. Also the results on farmers awareness (r = 0.632, p < 0.05) and use of farm-radio for marketing agricultural commodities had a positive relationship while constraints (r = -0.0256, p < 0.05) had a negative relationship with farmers use of farm-radio for marketing agricultural commodities. The study concluded that apart from radio, the mostly widely use source of market information by farmers are extension agents and verbal contact with fellow farmers. Keywords: Radio, Marketing, Utilization, Farmers, Agricultural, Commodities

    Assessment of Urban Infrastructure Quality and User Satisfaction in Low Income Residential Neighbourhoods in Minna, Nigeria

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    This study assessed urban infrastructure quality and the level of user satisfaction with urban infrastructure in low income residential neighbourhoods in Minna, Nigeria. Five (5) neighbourhoods were selected for the study, and a total of 250 housing units were sampled. Questionnaire was administered on households that fell within the sample and used to retrieve relevant data. This was followed with an observatory study of the entire study area. Simple descriptive statistic, frequency distribution, Kruskal wallis (H) test, Pearson's correlation, and Relative satisfaction index (RSI) were used to analyse collected data at different levels in the research. Analyse-it ® v4.5 statistical software for Microsoft excel was used to carry out all statistical analysis. Seven (7) components of urban infrastructure were identified to sustain residential properties in the study area and the varied conditions of each of these infrastructure was presented. The overall quality of urban infrastructure was established based on cumulative weighted scores of respondents rating of urban infrastructure quality in their respective neighbourhoods. Total weighted scores of 600 and below signified a general poor quality of urban infrastructure in the affected areas. A correlation coefficient of 0.853 indicates a strong positive relationship between drainage conditions and the condition of access roads, among others, while low RSI for access roads (1.972), drainage systems (1.456), waste disposal (1.712), security (2.632), water supply (1.372), electricity supply (1.52), and neighbourhood cleanliness (1.688) indicate a very low level of user satisfaction with urban infrastructure in the study area. Over 50% of respondents described the management of urban infrastructure in their neighbourhoods as being poor. The study recommend that efforts by the concerned authorities should be intensified towards the provision and proper management of urban infrastructure in urban areas.Keywords: Infrastructure quality, residential neighbourhood, urban infrastructure, usersatisfactio

    A Megacam Survey of Outer Halo Satellites. IV. Two foreground populations possibly associated with the Monoceros substructure in the direction of NGC2419 and Koposov2

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    The origin of the Galactic halo stellar structure known as the Monoceros ring is still under debate. In this work, we study that halo substructure using deep CFHT wide-field photometry obtained for the globular clusters NGC2419 and Koposov2, where the presence of Monoceros becomes significant because of their coincident projected position. Using Sloan Digital Sky Survey photometry and spectroscopy in the area surrounding these globulars and beyond, where the same Monoceros population is detected, we conclude that a second feature, not likely to be associated with Milky Way disk stars along the line-of-sight, is present as foreground population. Our analysis suggests that the Monoceros ring might be composed of an old stellar population of age t ~ 9Gyr and a new component ~ 4Gyr younger at the same heliocentric distance. Alternatively, this detection might be associated with a second wrap of Monoceros in that direction of the sky and also indicate a metallicity spread in the ring. The detection of such a low-density feature in other sections of this halo substructure will shed light on its nature.Comment: 10 pages, 10 figures, accepted for publication in Ap

    Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria

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    Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application of machine learning identification and classification of Muturu and Keteku cattle species in Nigeria was proposed as the mainstream model that enables the precision and intelligence perception of animal husbandry for a smart agricultural practice using enhanced mask region-based convolutional neural networks (mask R-CNN). A performance accuracy of 0.92 mAP (mean Average Precision) was achieved by the enhanced mask R-CNN model, making it on a par with the existing models

    Short-term electricity price forecasting with recurrent regimes and structural breaks

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    This paper develops a new approach to short-term electricity forecasting by focusing upon the dynamic specification of an appropriate calibration dataset prior to model specification. It challenges the conventional forecasting principles which argue that adaptive methods should place most emphasis upon recent data and that regime-switching should likewise model transitions from the latest regime. The approach in this paper recognises that the most relevant dataset in the episodic, recurrent nature of electricity dynamics may not be the most recent. This methodology provides a dynamic calibration dataset approach that is based on cluster analysis applied to fundamental market regime indicators, as well as structural time series breakpoint analyses. Forecasting is based upon applying a hybrid fundamental optimisation model with a neural network to the appropriate calibration data. The results outperform other benchmark models in backtesting on data from the Iberian electricity market of 2017, which presents a considerable number of market structural breaks and evolving market price drivers

    A MegaCam Survey of Outer Halo Satellites. VII. A Single S\'ersic Index v/s Effective Radius Relation for Milky Way Outer Halo Satellites

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    In this work we use structural properties of Milky Way's outer halo (RG>25 kpcR_G > 25\,\mathrm{kpc}) satellites (dwarf spheroidal galaxies, ultra-faint dwarf galaxies and globular clusters) derived from deep, wide-field and homogeneous data, to present evidence of a correlation in the S\'ersic index v/s effective radius plane followed by a large fraction of outer halo globular clusters and satellite dwarf galaxies. We show that this correlation can be entirely reproduced by fitting empirical relations in the central surface brightness v/s absolute magnitude and S\'ersic index v/s absolute magnitude parameter spaces, and by assuming the existence of two types of outer halo globular clusters: one of high surface brightness (HSB group), with properties similar to inner halo clusters; and another of low surface brightness (LSB group), which share characteristics with dwarf spheroidal and ultra-faint dwarf galaxies. Given the similarities of LSB clusters with dwarf spheroidal and ultra-faint dwarf galaxies, we discuss the possibility that outer halo clusters also originated inside dark matter halos and that tidal forces from different galaxy host's potentials are responsible for the different properties between HSB and LSB clusters.Comment: 20 pages, 9 figures, 3 table
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