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Adsorption Studies of Crystal Violet From Aqueous Solution Using Low Cost Material: Equilibrium and Kinetics Studies
Get PDFCrystal violet (CV), one of the toxic dyes which are extensively used for dyestuffs, textile, paper and plastics industries. CV does not easily biodegrades in aqueous medium and show harmful effect on aquatic as well as human life. In the present work adsorption studies of CV onto husk powder of Red gram crop (Cajanuscajan) seed was examined in aqueous solution at 27.8ºC. The effects of initial concentration, adsorbent dose, temperature, and contact time etc were determined. Highest 81.49% adsorption efficiency recorded was for 50 mg/L solution concentration onto 2.5g of husk powder of Red gram crop seed. The applicability of Langmuir and Freundlich isotherm model was investigated, and the Langmuir adsorption isotherm model exhibited the best fit than Freundlich isotherm model with the experimental data. The adsorption follows pseudo-second-order kinetics
Experimental Analysis of The Effects of Graphic Organizer Strategy and Age on Computer Anxiety of Distance Learning Students of University of Ibadan, Nigeria
Get PDFThis study examined the experimental analysis of the effects of graphic organiser strategy and age on computer anxiety of distance learning students of University of Ibadan, Nigeria. Pretest-posttest, control group quasi-experimental design with a 2x2 factorial matrix was used in the study. Multi-stage sampling technique was used in sampling 114 participants from 2 faculties of distance learning centre. The respondents were measured with validated scale of 0.86 reliability coefficient and the data obtained was analyzed using t-test statistical analysis. Two (2) research hypotheses were formulated and tested at 0.05 level of significance. The results showed that there was significant difference in the computer anxiety of distance learning students exposed to graphic organiser strategy and those in the control group (t= 41.36; p<0.05) and there was significant difference in the computer anxiety of old and young distance learning students (t= 28.53; p<0.05). In view of these findings, the study recommended that students should be encouraged and trained on the effective usage of graphic organiser strategy and that old students should be encouraged to improve on the usage of computer for academic development. This is because computers are being used majorly for academic tasks in distance learning centre.
Word Count: 196
Keywords: Graphic organiser strategy, Computer anxiety, Age and Distance learning students
 
Moral and Epistemological Implications of John Dewey’s Instrumentalism
Get PDFHumanity embarks on epistemological quests in order to achieve knowledge that could in turn minister to human needs. knowledge by this token becomes a tool for problem-solving. The human specie therefore theorizes in order to explain myriad difficult existential challenges and to gain firm control of their environment. John Dewey in the 20th century advances his instrumentalism postulate, which proposes a reconstruction in philosophy. He proposes a pragmatic reconstruction of truth in terms of its practical function such that knowledge, morality and even education could be instrumentalized. Dewey adopts the scientific methodology of experimentalism in order to fully achieve his instrumentalism. Regrettably, he overemphasizes the method of science as all sufficing and this renders society’s set goals indeterminate and breeds solipsism. When knowledge and morality get instrumentalized, morality becomes relativized leaving no possibility of a reference to any fixed moral code. This research therefore aims to expose the moral and epistemological implications of Dewey’s instrumentalism. The author adopts the textual analysis method of enquiry and suggests a humanization of instrumentalism, which protects human dignity and personhood as well as promotes the safe appropriation of the positive benefits of the scientific adventure
Does monetary policy induce economic growth? An empirical evaluation of the Nigerian economy
Get PDFThe goal of every economy is to attain the highest level of economic growth and development. Monetary and fiscal policies are instruments which the government of any nation can employ to effectively acheive the desired growth of their respective economies. This study investigates the extent to which monetary policies can promote economic growth in Nigeria covering the period of 1980 - 2016. In doing this, the study used secondary data from the Central Bank of Nigeria Statistical bulletin and National Bureau of Statistics various issues. The econometric technique of Ordinary Least Squares (OLS), Johansen co-integration and the vector error correction model (VECM) were employed in analyzing the data collected for this study. The result showed that monetary policies did not have a significant impact on Nigeria's economic growth in the short run, but significantly affected the country's growth in the long run. The non significance of the nation's monetary policies on economic growth in the short run is a strong proof of the gap between monetary policy formulation and implementation. Furthermore, monetary policies should be employed to create favourable investment climate by aiding the emergence of market based interest rate and exchange rate that will bring in both domestic and foreign investments. Finally, the Central Bank of Nigeria and the Federal Ministry of Finance should ensure there is efficient coordination of monetary and fiscal policies to spur economic growth in Nigeri
Ecology and Proletarianisation: Increasing Need for Attention
Get PDFThis brief article argues three points with an illustrative case study: a) proletarianisation is increasingly also caused by ecological reasons; b) this is significant for India from regions such as Telangana, Bundelkhand, to Vidarbha and many other parts ; c) this phenomenon of ecology induced proletarianisation is however indirectly owing to accumulation of capital on global scale. The article also argues that this phenomenon affects agriculture in the global South far more adversely
Certain Integral Representations for Hypergeometric Functions of Four Variables
Get PDFIn the present work, we first introduce five new quadruple hypergeometric series and then we give integral representations of Euler type and Laplace type for these new hypergeometric series, which we denote b
Identities of Choi-Lee-Srivastava involving the Euler-Mascheroni’s constant
Get PDFWe give an elementary deduction of the Choi-Lee-Srivastava’s identities involving the Euler Mascheroni’s constant, thus from them is immediate the identity of Wilf
Comparative Analysis of Predictive Models for the Likelihood of Infertility in Women Using Supervised Machine Learning Techniques
Get PDFInfertility is a worldwide problem, affecting 8% – 15% of the couples in their reproductive age. WHO estimates that there are 60 - 80 million infertile couples worldwide with the highest incidence in some regions of Sub-Saharan Africa also infertility rate may reach 50% compared to 20% in Eastern Mediterranean Region and 11% in the developed world. Infertility has caused considerable social, emotional and psychological stress between couples, among families, within the individual concerned and the society at large. Historical data constituting information describing the risk factors of infertility alongside the respective infertility likelihood status of women was collected from Obafemi Awolowo University Teaching Hospital Complex (OAUTHC). The predictive model was formulated using naïve Bayes’, decision trees and multi-layer perceptron algorithm – supervised machine learning algorithms. The formulated model was simulated using the Waikato Environment for Knowledge Analysis (WEKA) environment. The results of the performance evaluation of the machine learning algorithms showed that the C4.5 decision trees and the multi-layer perceptron with an accuracy of 74.4% each outperformed the naïve Bayes’ algorithm. In addition, the decision trees algorithm recognized variables relevant to predicting infertility and a rule that can be applied on patient risk factor records for infertility likelihood prediction was deduced from the tree structure. This showed how effective machine learning algorithms can be used in predicting the likelihood of infertility in Nigerian women
Inclusion Properties for Certain Subclasses of Uniformly P-Valent Analytic Functions Involving Linear Operator
Get PDFIn this paper, the authors study some inclusion results for new subclasses of b-uniformly -valent functions in the open unit disc defined by differ-integral operator and some results of certain integral operator are also obtained
A Survey on Energy and Lifetime in Wireless Sensor Networks
Get PDFOver the past several years, wireless sensor network has attracted many researchers as well as general users; because of its various applications such as commercial and military applications. The sensor nodes are basic unit of a sensor network that is energized by low powered devices. In un-tethered wireless sensor nodes the power supply is a crucial system component. The energy supplying is made in two aspects, first store the energy and distribute it as per the requirement, else refill the consumed energy by scavenging from external power source like solar energy, Temperature gradients, Vibrations, Pressure variations, flow of air and liquid. If some nodes deplete their energy quickly, that node will not sense and that region is called blank region. This could be avoided by reducing the energy consumption of each sensor node to improve the lifetime of the wireless sensor networks. Therefore, the usage of energy of each sensor nodes must be optimized to maximize the network life. This survey paper is concentrated on the energy consumption for typical sensor node component and then discussed the directions to conserve energy in wireless sensor networks. This paper also gives the classifications of the energy conservation schemes, which are later discussed in detail. Special focus is given over the areas in the literature such as data aggregation along with load balancing techniques. Finally, the paper is concluded with insights for researchers about energy conservation in wireless sensor network