Intelligent Citizenship Identity through Family Pedigree Using Graph-Signature Based Random-Forest Model

There has been a global upsurge of interest in the topic of citizenship identity over the past decades, specifically in the world dominated by profound insecurity, inequalities, proliferation of identities, and rise of identity politics,engendered by capitalism. However finding effective solution to these problems has been rendered difficult. To alleviate these problems, this paper presents an analytical Machine learning model that suitably combined the graph signature with random forest techniques. This study presents the design and realization of a novel Intelligent Citizenship Identity through family pedigree using Graph Signature based random forest (GSB-RF) model. The study also showcases the development of a novel graph signature technique referred to as Canonical Code Signature(CCS) method. The CCS method is used at the pre-processing stage of the identification process to build signature for any given tuple. Performance comparisim between the present system and the baseline techniques which includes: the K-Nearest Neighbour and the traditional Random Forest shows that the present system outperformed the baseline method studied. The proposed system shows capability to perform continuous re-identification of Citizens based on their family pedigree with ability to select best sample with low computational complexity, high identification accuracy and speed. Our experimental result shows that the precision rate and identification quality of our system in most cases are equal to or greater than 70%. Therefore, the proposed Citizenship Identification machine is capable of providing usable, consistent, efficient, faster and accurate identification, to the users, security agents, government agents and institutions on-line, real-time and at any-time

Power Generation from Melon Seed Husk Biochar Using Fuel Cell

Melon seed husk (MSH) biochar was used in a single cell direct carbon fuel cell (DCFC) as an alternative biofuel. The DCFCs belong to a generation of energy conversion devices that are characterised with higher efficiencies, lower emission of pollutants and MSH biochar as the fuel. Several analytical techniques (proximate, ultimate and thermo-chemical analysis) were employed to analyse the characteristics of the biomass fuel, their effects on the cell’s performance, and the electrochemical reactions between the fuel and the electrolyte in the system. High carbon content and calorific values are some of the parameters responsible for good performances. The performance of a lab-scale DCFC made of ceramic tubes using molten carbonate electrolyte was investigated. Binary carbonates mixture (Na2CO3-K2CO3, 38-62 mol.%) was used as electrolyte and the waste MSH carbonised at 450oC as biofuel. A practical evaluation of the fuel used in the DCFC system was conducted, for varying temperature of 100 - 800oC. The maximum open circuit voltage (OCV) was 0.71 V. With an applied load resistance and active surface area of 5.73 cm2 the maximum power density was 5.50 mWcm-2 and the current density was 29.67 mAcm-2 at 800oC

EMPIRICAL STUDY OF PSYCHOTIC DISORDER PATIENTS IN NIGERIA

A study on psychotic disorder ailment was carried out in this research paper where the target population consists of all patients that has any of the following five psychotic disorders: Menial Brain Dysfunction (MBD); Schizophrenia; Vascular Dementia; Bipolar; and Insomnia. The sample consist of five hundred (500) psychotic patients that were selected from the entire number of psychotic patients in the hospital records (files) from January, 2010 to December, 2014. They were selected based on their peculiar ailments with symptoms of psychotic disorders. The main aim of this paper is to examine the possible existence of association among these psychotic disorders. The specific objectives are to: determine the demographic factors that influence the levels of each of these psychotic disorders; propose appropriate model for each psychotic disorder; and determine the level of correct classification using each of these models. We observed that there exist strong association among these psychotic disorders except for MBD and Vascular Demetria. Nearly all the demographic factors under consideration are one way or the other influence the levels of any psychotic disorder except divorce, injury, and genetic. The percentages of correct classification using each of the models proposed ranges between 70.8% and 91.2%

Comparison of the electrochemical performances of MCDCFC using hand and ball milled biomass carbon fuels

The electrochemical performances of a single cell molten carbonate electrolyte direct carbon fuel cell (MCDCFC) using miscanthus and switchgrass biomass carbon fuels subjected to hand and ball milling treatments are presented in this paper. Conventional direct carbon fuel cell (DCFC) uses carbon derived from coal, a fossil fuel with adverse consequences on the environment. This paper explores a more benign carbon fuel source which is the biomass to power the DCFC. The performances of the hand milled (HM) carbon fuels were slightly higher than those of the ball milled (BM) carbon fuels. At 800oC for the open circuit voltage, miscanthus fuel (1.03 V) has higher values for the HM and switchgrass fuel (0.77 V) for the BM. Higher peak power densities were observed for switchgrass fuel (21.60 and 12.32 mW/cm2) for both the HM and BM. Switchgrass fuel (74 mA/cm2) gave the maximum current density for both the HM and BM. Miscanthus fuel (0.72 V) show higher voltage at peak power generation for the HM and switchgrass fuel (0.39 V) for the BM. The peak power efficiency evaluated show that miscanthus fuel (70%) gave higher values for the hand milled and equal values for both carbon fuels (51%) for the ball milled

COMPARISON OF THE ELECTROCHEMICAL PERFORMANCES OF MCDCFC USING HAND AND BALL MILLED BIOMASS CARBON FUELS

The electrochemical performances of a single cell molten carbonate electrolyte direct carbon fuel cell (MCDCFC) using miscanthus and switchgrass biomass carbon fuels subjected to hand and ball milling treatments are presented in this paper. Conventional direct carbon fuel cell (DCFC) uses carbon derived from coal, a fossil fuel with adverse consequences on the environment. This paper explores a more benign carbon fuel source which is the biomass to power the DCFC. The performances of the hand milled (HM) carbon fuels were slightly higher than those of the ball milled (BM) carbon fuels. At 800oC for the open circuit voltage, miscanthus fuel (1.03 V) has higher values for the HM and switchgrass fuel (0.77 V) for the BM. Higher peak power densities were observed for switchgrass fuel (21.60 and 12.32 mW/cm2) for both the HM and BM. Switchgrass fuel (74 mA/cm2) gave the maximum current density for both the HM and BM. Miscanthus fuel (0.72 V) show higher voltage at peak power generation for the HM and switchgrass fuel (0.39 V) for the BM. The peak power efficiency evaluated show that miscanthus fuel (70%) gave higher values for the hand milled and equal values for both carbon fuels (51%) for the ball milled

Neural and behavioural changes in male periadolescent mice after prolonged nicotine-MDMA treatment

The interaction between MDMA and Nicotine affects multiple brain centres and neurotransmitter systems (serotonin, dopamine and glutamate) involved in motor coordination and cognition. In this study, we have elucidated the effect of prolonged (10 days) MDMA, Nicotine and a combined Nicotine-MDMA treatment on motor-cognitive neural functions. In addition, we have shown the correlation between the observed behavioural change and neural structural changes induced by these treatments in BALB/c mice.We observed that MDMA (2 mg/Kg body weight; subcutaneous) induced a decline in motor function, while Nicotine (2 mg/Kg body weight; subcutaneous) improved motor function in male periadolescent mice. In combined treatment, Nicotine reduced the motor function decline observed in MDMA treatment, thus no significant change in motor function for the combined treatment versus the control. Nicotine or MDMA treatment reduced memory function and altered hippocampal structure. Similarly, a combined Nicotine-MDMA treatment reduced memory function when compared with the control. Ultimately, the metabolic and structural changes in these neural systems were seen to vary for the various forms of treatment. It is noteworthy to mention that a combined treatment increased the rate of lipid peroxidation in brain tissue

An Analyses of Onion Marketing in Toro District of Toro Local Government Area in Bauchi State, Nigeria

The broad objective of the study was to determine the profitability and marketing efficiency of onion marketing in Toro District of Toro local government area in Bauchi State. Questionaire was the main instrument of data collection from a sample of fourty (40) onion traders in the study area. Analytical tools used were; descriptive statistics, gross margin, marketing margin and market efficiency. Majority (67.5%) of the respondents were males. Also, majority (55%) of onion Traders falls within the age bracket of 41 - 50 years of age, the result indicates high proportions (85.00%) of the respondents were educated. The years of Onion marketing experience of the respondents indicates that half of the respondents (50%) had 11 - 20 years of marketing experience in onion trading and the study also indicates that majority (52.50%) went into onions marketing with money between ₦21,000:00 - ₦30,000:00. Greater proportion (87.50%) of the respondents belongs to cooperative associations. Major problems of onion marketing identified were those of transportation, storage facilities, starting capital, market information and low price. Result of the costs and returns analysis revealed that onion marketing was profitable to the turn of N1,315.00 per bag for wholesale and N2,020.00 per bag for retail traders of onion marketers respectively. This finding also indicated that marketing of onion is efficient with total efficiency of 141.28% for wholesalers and 150.80% for retailers. Proper functional programmes and policies should be made to improve onion production and marketing in the study area

Barriers to contraceptive uptake among women of reproductive age in a semi-urban community of Ekiti State, Southwest Nigeria

Background: Globally, unplanned pregnancy and sexually transmitted infections (STIs) persist as a significant threat to women’s reproductive health. In Nigeria, despite huge resources committed to family planning programs by stakeholders, contraceptive use has been very low. This study aimed at unraveling the barriers to the use of modern contraceptives among women of reproductive age (15-49 years) in Ise-Ekiti community, Ekiti State, Southwest Nigeria.Methods: This study was a cross sectional study among women aged 15-49 years. A multi-stage sampling technique was used in the recruitment of respondents from the community. An interviewer-administered questionnaire was used to collect data. Data were analyzed using SPSS version 15.Results: Although contraceptive awareness among respondents was high 496(98.6%), only 254 of the 503 respondents were using modern contraceptive methods giving a Contraceptive Prevalence Rate (CPR) of 50.5%. Among those not using any form of contraceptives, some identifiable barriers to contraceptive use includes desire for more children, 62(39.5%), partner disapproval, 40(25.5%), and fear of side-effects, 23(14.6%). Factors associated with contraceptive uptake include marital status (p=0.028), educational level (p=0.041) and religion (p=0.043) with traditional worshippers having the least uptake.Conclusion: This study showed that awareness to modern forms of contraceptives does translate into use. The identified barriers to contraceptive uptake suggest the need to improve uptake of contraceptives through a community-based and culturally acceptable intervention as doing this will go a long way in addressing some of these barriers.Keywords: Contraceptives uptake, barriers, women of reproductive ag

Comparative Analysis of Machine Learning Techniques for the Prediction of Employee Performance

Human Resources’ purpose is to assign the best people to the right job at the right time, train and qualify them, and provide evaluation methods to track their performance and safeguard employees’ perspective skills. These data are crucial for decision-makers, but collecting the best and most useful information from such large amounts of data is tough. Human Resource employees no longer need to manually handle vast amounts of data with the advent of data mining. Data mining’s primary goal is to uncover information hidden in data patterns and trends in order to produce results that are close to ideal. This study aims at comparing the performance of three techniques in the prediction of performance. The dataset undergoes preprocessing steps that include data cleaning, and data compression using Principal Component Analysis. After preprocessing, training and classification were done using Artificial Neural Network, Random Forest, and Decision tree algorithm. The result showed that Artificial Neural networks performed the best in the prediction of employee performance

A systematic review on COVID-19 pandemic with special emphasis on curative potentials of Nigeria based medicinal plants

Despite the frightening mortality rate associated with COVID-19, there is no known approved drug to effectively combat the pandemic. COVID-19 clinical manifestations include fever, fatigue, cough, shortness of breath, and other complications. At present, there is no known effective treatment or vaccine that can mitigate/inhibit SARS-CoV-2. Available clinical intervention for COVID-19 is only palliative and limited to support. Thus, there is an exigent need for effective and non-invasive treatment. This article evaluates the possible mechanism of actions of SARS-CoV-2 and present Nigeria based medicinal plants which have pharmacological and biological activities that can mitigate the hallmarks of the pathogenesis of COVID-19. SARS-CoV-2 mode of actions includes hyper-inflammation characterized by a severe and fatal hyper-cytokinaemia with multi-organ failure; immunosuppression; reduction of angiotensin-converting enzyme 2 (ACE2) to enhance pulmonary vascular permeability causing damage to the alveoli; and further activated by open reading frame (ORF)3a, ORF3b, and ORF7a via c-Jun N- terminal kinase (JNK) pathway which induces lung damage. These mechanisms of action of SARS-CoV-2 can be mitigated by a combination therapy of medicinal herbs based on their pharmacological activities. Since the clinical manifestations of COVID-19 are multifactorial with co-morbidities, we strongly recommend the use of combined therapy such that two or more herbs with specific therapeutic actions are administered to combat the mediators of the disease.publishedVersionFil: Oladele, Johnson O. Kings University; Nigeria.Fil: Ajayi, Ebenezer Idowu O. Osun State University; Nigeria.Fil: Ajayi, Ebenezer Idowu O. Universidad Nacional de Córdoba. Rectorado; Argentina.Fil: Ajayi, Ebenezer Idowu O. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación Médica Mercedes y Martín Ferreyra.; Argentina.Fil: Oyeleke, Oyedotun M. Kings University; Nigeria.Fil: Oladele, Oluwaseun T. Osun State University; Nigeria.Fil: Olowookere, Boyede D. Kings University; Nigeria.Fil: Adeniyi, Boluwaji M. Benue State University; Nigeria.Fil: Oyewole, Olu I. Osun State University; Nigeria.Fil: Oladiji, Adenike T. University of Ilorin; Nigeria