108 research outputs found

    Effective Staff Relationships as An Impetus for Growth in 21st Century Church

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    Effective staff relationships is a stimulus to church developmental growth in all facets of church life. It is expedient that each church and religious organizations should imbibe because of its benefits that cannot be overemphasized. This paper considers the necessity of staff relationships for growth in the 21st Century church by exploring into the biblical perspective of staff relationships. The necessity of staff relationships was also consider, such as it enhances mutual encouragement both personal and spiritual; it facilitates and improve the workforce; it promotes growth in all facets; teamwork, delegation and supervision are enhanced; it is problem-solving; it is enjoyable and broaden staff understanding, and building a Christlike attitude and relationships are not exempted. The possible challenges in staff relationships were also considered, such as staining, denting and destroying each other reputation and integrity. Mistrust and lack of sincere commitment among staff members. Inattentive to staff voices, preferential treatment and rivalry. Lack of recognition, motivation and appreciation of staff. The unconducive atmosphere and lack of openness and the spirit of cooperation. Excessive use of power and social stratification; and unforgiving spirit. The paper concludes that staff relationships are inevitable in contemporary churches and religious organizations. Healthy staff relationships should be built and encouraged for efficiency, growth, productivity and fulfilment of the primary purpose of multi-staff both between the volunteer staff members, non-ministerial staff and ministerial staff. Keywords: Effective, Staff Relationships, Impetus, Growth DOI: 10.7176/JPCR/48-02 Publication date:March 31st 2020

    Suitability Assessment of Soils around Forestry Research Institute of Nigeria (FRIN), Ibadan for Maize Production: A Parametric Analyses

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    The sustainable use of soil resources requires extensive knowledge about its morphology and other properties. The study was carried out to evaluate the suitability of soils for maize production in Forestry Research Institute of Nigeria’s (FRIN), environment, Ibadan, using the parametric method. Four profile pits were dug, described and the soil samples collected and analyzed for particle size distribution, pH, organic matter, total nitrogen, available phosphorus, exchangeable acidity, exchangeable bases and extractable micro nutrients. The textures of the soils were loamy sand, sandy loam and sandy clay loam which varied in response to changes in slope and drainage position. The soil’s pH ranged from strong to slightly acidity (4.32 – 6.75). Organic matter (17.2 -61.2g kg-1), total exchangeable base and total nitrogen (0.7 – 3.1g kg-1) were high, while the extractable micro nutrients; Fe (37 – 67mg kg-1), Cu (7 – 13mg kg-1), Mn (5 – 142mg kg-1) and Zn (38 -134mg kg-1) were at toxic level. Suitability evaluation of the soil using parametric approach shows that the soils are presently not suitable (NS) for the cultivation of maize, while, the potential of suitability of the soil for maize cultivation was ranked marginally suitable (S3). The soils of the study area were classified as Egbeda association which is not currently suitable for maize production, because of its present status. However, the soils suitability potential can be improved through conservative agronomic practices and also to prevent rapid degradation

    Parameters for Design and Construction of a Pilot Scale Pyrolysis Gas-Furnace

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    The objective of this study is to analyse the design parameters for a pyrolysis furnace designed and built for experimental purposes using the principle of heat transfer. The furnace was made of a casing of low carbon steel sheets inside which the refractory bricks were moulded, forming the furnace cavity to prevent heat loss. The pyrolysis capsule was made of high carbon steel tube with flanges which can be opened for batch loading of the precursors and evacuation of products. The furnace was designed to be gas-fired due to high efficiency and cleaner nature of gas energy. The pyrolysis capsule is installed along the centre of the furnace cavity where combustion takes place. The heat energy accumulated around the capsule is being absorbed into the pyrolysis chamber where precursors are being loaded, the regulation of the temperature of the combustion chamber via the installed feedback mechanism to monitor and control the system. The capsule has a Nitrogen gas inlet for the inert environment needed for effective pyrolysis process and an outlet duct for pyrolysis oil collection and gas recovery. The experimental initial conditions were inputted in Solidworks Flow Simulation to determine the heat distribution at different regions of the furnace and thus made it easy to determine the furnace combustion chamber temperature at which the pyrolysis temperature will be attained inside the pyrolysis chambe

    NUMERICAL SOLUTION OF VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS BY AKBARI-GANJI’S METHOD

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    In this study, Akbari-Ganji’s Method (AGM) was applied to solve Volterra Integro-Differential Difference Equations (VIDDE) using Legendre polynomials as basis functions. Here, a trial solution function of unknown constants that conform with the differential equations together with the initial conditions were assumed and substituted into the equations under consideration. The unknown coefficients are solved for using the new proposed approach, AGM which principally involves the application of the boundary conditions on successive derivatives and integrals of the problem to obtain a system of equations. The system of equation is solved using any appropriate computer software, Maple 18. Some examples were solved and the results compared to the exact solutions

    Impact Of Marketing Strategies And Performance Of Banks And Its Ffects On Nigeria Economy

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    The banking industry has been facing a lot of challenges in recent times in Nigeria. These include competition among them and non banking financial institutions such as insurance Companies. Therefore this research, impact of marketing strategies and performance of banks and its effects on Nigeria economy is aimed tonbsp identify the various types of the marketing mix components employed by thenbsp banks . to examine the effect of the marketing strategies on the performance of the banks. Andnbsp to determine if the marketing strategies employed by the Banks differ significantly from one another. Questionnaire was administered on two population which arenbsp Management andnbsp staff of thenbsp banks and customers of thenbsp banks. 250 questionnaire was administered tonbsp Management andnbsp staff of thenbsp banks,nbsp and also 250 was administered to customers of the bank in Nigeria. Result of the analysis revealed four factors which were distribution network, quality of service, promotion and price with the percentage contribution of each factor being 51.9%, 73.6%, 31.2% and 38.5% respectively. Multiple regression analysis shows that R2 = 0.563 which indicated that the four factor accounted for 56% variability in the performance ofnbsp marketing strategies employed by the banks. The result of the analysis of variance indicated that the mean ratings for thenbsp banks were not significantly different at 0.05level. We thereby conclude that banks should focus its innovative efforts on enlarging the size of the market in which it participates by introducing new products and services, promoting new uses for existing products and seeking out new class of customers

    Antinociceptive and anti-arthritic properties of hydroethanolic leaf extract of Clausena anisata (Willd.) Hook. f. ex Benth (Rutaceae) in Rodents: possible mechanism of actions

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    Summary: The leaves of Clausena anisata (Willd.) Hook. f. ex Benth (Rutaceae) is used in Traditional African medicine for the treatment of various ailments including arthritis. The present study sought to investigate the antinociceptive and anti-arthritic properties of hydroethanolic leaf extract of Clausena anisata (HeCA). HeCA (100, 200 or 400 mg/kg, p.o.) was administered 1 h before intraplantar injection of formalin 1%v/v in saline to evaluate antinociceptive effect. Moreover, its possible mechanism of antinociceptive action was investigated through pretreatment of mice with antagonists of receptors implicated in nociception. Anti¬inflammatory effect of the extract was investigated using the carrageenan-induced paw oedema and complete Freund's adjuvant (CFA)-induced arthritis models in rats. HeCA (400 mg/kg) treatment significantly reduced the duration of paw licking/biting during both in the early (42.12%) and late (75.79%) phases of formalin-induced nociception. However, the antinociceptive effect elicited by HeCA was reverse by pretreatment of mice with naloxone, prazosin, yohimbine, ketanserin, L-arginine, and parachlorophenylalanine (PCPA). HeCA produced dose-dependent and time course decrease in carrageenan-induced paw oedema. Pre- and post-treatment of rats with HeCA ameliorated CFA-induced arthritis evidenced in the significant decrease in arthritic index comparatively similar to the effect of celecoxib. CFA- induced oxidative and nitrosative stress were attenuated by subchronic treatment with HeCA. Findings from this study shows that C. anisata possesses antinociceptive activity through possible interaction with opioidergic, noradrenergic, L-arginine-nitric oxide and serotonergic pathways as well as anti-arthritic property which could be attributed to its ability to prevent the release of inflammatory mediators and oxidative stress.Keywords: Complete Freund's adjuvant; L-arginine-nitric oxide; nociception; antioxidant; rheumatoid arthritis; serotonergic

    Wastage amidst shortage: Strategies for the mitigation of standby electricity in residential sector in Nigeria.

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    Due to rising population and the increasing rate of urbanization, residential electricity usage accounts for a large chunk of Nigeria’s electricity consumption. However, little attention is paid to electricity conservation in the country. In response to this, several studies are been tailored to ensure a rapid reduction in energy consumption through various alternatives including energy efficient technologies given the current state of inadequate electricity supply in the country. On this note, this article discusses the significance of standby electricity in Nigeria. The electricity generation and consumption patterns were briefly discussed while the current electricity saving behaviour and practices among the urban dwellers were detailed with a case study analysed. Based on the case study, it was discovered that the mean standby load across the 30 households were estimated at 60 W ranging from 34-144 W. Also, standby consumption accounts for 13-44% of the annual electricity consumption across the households. Finally, the strategies for electricity saving and sustainable consumption, most especially the mitigation of standby electricity were highlighted

    A model for efficient consumption of electricity in residential buildings

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    Abstract : This paper reviews various applications of Radio Frequency Identification (RFID) technology and proposes electricity-saving power switch enhancements model to control the operation of electrical appliances in residential buildings using RFID system. Estimation was made on the consumption of electricity in a private apartment in Pretoria, Gauteng Province, South Africa and compared with when the RFID card-reader system is deployed. The percentage energy saving in a year was calculated to be approximately 29 %. The possible energy savings for a period of 30years is estimated and the return on investment (ROI) determined. The authors concluded by making a case for a state policy on RFID energy efficiency technology

    Multilayer perceptron artificial neural network for the prediction of heating value of municipal solid waste

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    Abstract: Energy from municipal solid waste is steadily being integrated into the global energy feedstock, given the huge amount of waste being generated from various sources. This study develops a Multilayer Perceptron Artificial Neural Network for the prediction of High Heating Value of municipal solid waste as a function of moisture content, carbon, hydrogen, oxygen, nitrogen, sulphur, and ash. A total of 123 experimental data were extracted from reliable database for training, testing, and validation of the model. This model was trained, validated and tested with 70%, 20%, and 10% of the municipal solid waste biomass datasets respectively. The predicted High Heating Value was compared with the experimental data for two different training functions: Levenberg Marquardt backpropagation and Resilience backpropagation, and with some correlation from the literature. The accuracy of the model was reported based on some known performance criteria. The values of Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE), and Coefficient of Correlation (CC) were 3.587, 2.409, 21.680, 0.970 respectively for RP and 3.095, 0.328, 22.483, 0.986 for LM respectively. Regression analysis was also carried out to determine the level of correlation between the experimental and predicted High Heating Values (HHV). The authors concluded that these models can be a useful tool in the prediction of heating value of MSW in order to facilitate clean energy production from waste
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