Attitudinal attributes of students is one of the numerous factors that facilitates or inhibits the teaching and learning of physics in secondary schools. This factor is mostly expressed in the behavior of the students to the learning of the subject. Attitudes and learning are twin concepts. Their relationship, if properly managed by the physics teacher, could serve as a veritable tool in engineering the students' behavior towards higher academic achievement in physics, thereby, boosting their interests in the subject .This project examines the attitudes of secondary school students to physics. In addition, the study also examines the influence of physics teachers' attitudes on the students' attitudes to physics. Most secondary school students find physics very difficult especially the calculations aspect of the subject. Majority of this students usually score low grade in physics. Physics is often seen by secondary
school students to be more difficult when compared to other science subjects including biology and chemistry. This development has instilled fear in the minds of the students. It is the prime duty of the physics teacher to clear this notion from the of the students. He needs to invest his diverse professional skills and competence, expertise, creativity and sacrificial efforts in order to effectively and efficiently present the subject in manner that would be most
interesting and captivating to the students.

Security is a very important part of any organizations structure. The modern age comes with an increasing need for secure and flexible access control systems. This project designs and implements a Radio Frequency Identification security door lock system. It features a mobile application is also built to control the system and manage user accounts and permissions. Wi-Fi connectivity is implemented to enhance access control. The limitations of traditional lock systems is the major motivation behind this project. Although noteworthy achievements have been made
in this field, there is still a lot that can be improved upon. This project utilizes the ESP32 microcontroller, RFID reader module, electronic bolt lock as the primary components. This system primarily authenticates users with the use of Radio Frequency Identification (RFID) tags. The application also servers as a secondary access option when needed.
The application is used to control and manage users and cards. Role based access makes it possible for different user roles to have different levels of authority over the system. User and card information are stored in a PostgreSQL database which makes it easy to manage the system from different locations. The system also possesses a battery system as a source of alternative power in the event of power outages. This project takes an Internet of Things (IOT) approach to RFID security and connects the lock hardware and software seamlessly to make the system more efficient, flexible and robust. The system is tested to approximate its behavior in a real-life situation before it is installed. The tests proves that the system is an improvement in efficiency, ease of use and flexibility in access control and security. There are a lot of other opportunities that could be explored that would further improve the systems performance but are beyond the scope of this project work and are suggested in the recommendations for future work.

The use of machine learning techniques in the process of power transformer fault diagnosis represents a significant advancement in technology. This abstract of this project provides an overview of the key features of this work, displaying the profound benefits of machine learning in power transformer fault detection and prediction.
In recent years experiment have been conducted in this area using traditional methods like the Key Gas Method, Duval triangle method and others and utilizing the data gotten from DGA (Dissolved Gas Analysis) to detect faults in the power transformers. These traditional methods had a draw back of poor accuracy in detection and fault prediction. In this project machine learning techniques like the Naive Bayes, Support vector Machine, C4.5 Decision Tree and their ensembles also included in this is the Majority voting were introduced to solve the problems.
In this project a model is created to train and test data using this machine learning techniques. The results gotten from these experiments show that the machine learning techniques presents a brighter future for professionals and experts in this field of work.

There has been disagreement on the extent to which tax revenue contribute to the development of the Nigerian economy. This study aims to assess the impact of tax administration on economic development in Nigeria. The study investigated the influence of four tax revenue streams ; Income tax from companies’ profits, income tax from personal Income, Petroleum Profits tax and Value Added Tax on economic development represented by Human Development Index (HDI). The research employs regression analysis to examine data on taxation and economic development across a 24-year period from 2000 to 2023. The data was acquired from the statistics Bulletin of the Central Bank of Nigeria (CBN), tax reports of the Federal Inland Revenue Service (FIRS), and the Human Development Report published by the United Nations Development Programme (UNDP).The study utilised the autoregressive distributed lag estimator (ADRL) to account for the varying levels of integration among the variables. The research findings indicate that there is no significant correlation between Companies Income Tax (CIT) and Economic Development (HDI) in Nigeria. There is no significant relationship between Personal Income Tax and Economic (HDI). Petroleum Profit Tax (PPT) and Value Added Tax (VAT), however, are significantly and positively related to economic development(HDI). The study therefore concludes that taxation can lead to positive economic development in Nigeria if policymakers examine the structure of Companies Income Tax and Personal Income Tax to address potential leakages or suboptimal utilisation. Their operations of the Value Added Tax and Petroleum Profit Tax should also be strengthened to ensure they contribute to economic development.

Asthma is a serious health and socioeconomic issue, affecting more than 300 million persons, with approximately 250,000 annual deaths. Asthma treatment has been based only on beta-2 agonists and corticosteroids, with a minimal role for other older drugs such as theophylline and chromosomes. The aim of this study was to investigate the
effects of montelukast and hydrocortisone on some inflammatory markers in asthma induced Sprague-Dawley rats. Sprague-Dawley rats weighing between 180-250 g were divided into two (2) main groups; the Control group (rat feed with chow and water) and Test group (rat exposed to Ovalbumin and aluminum hydroxide to induce asthma and treated with Montelukast and Hydrocortisone). Inflammatory markers such as Interleukin-6 (IL-6), High Sensitivity C- Reactive Protein (Hs-CRP) and Neutrophil to Lymphocyte ratio (NLR) were assayed in blood plasma. The result showed that Interleukin 6 of asthma induced Sprague Dawley rats was significantly (p<0.05) higher after treatment with Hydrocortisone (2.6293pg/ml) compared to montelukast (2.4983pg/ml) treatment, control (2.0588 p g/ml) and negative control (2.2173 p g/ml), A significant (P<0.05) difference in high sensitivity C-reactive protein was observed between hydrocortisone, control, negative control and montelukast while neutrophil to lymphocytes ratio of negative control was significantly different from control, montelukast and hydrocortisone treatments. A synergic effect of anti inflammatory activity of Montelukast and hydrocortisone on asthma might exist.

Phosphorus (P) is an important element for plant growth and development, However, P availability is strongly influenced by pH in soils. Hence, this study aims at evaluating P sorption as influenced by pH. This study examined some physical and chemical properties of soil as well as in phosphorus sorption capacity at different pH levels. Soil samples were collected from orlu soil series in Nigeria Institute for Oil Palm Research (NIFOR). Some physical and chemical properties were analyzed using standard procedures in department of soil science and land management resources laboratory, university of Benin. while the influence of pH on sorption was determined by equilibrating the soils with P retention solution containing 1000 mg P L-1 as KH2PO4 adjusted to exactly pH 3.0, 4.6, 7.0 and 8.6 for 24 hours. The P remaining after equilibration was determined using colorimetrically by the nitric vanadomolybdate yellow method using the spectrophotometer at 466nm. The % P retention was calculated from the graph of absorbency against P retention of the standard solution.The result showed that some physical and chemical properties studied were within the normal range suitable for crop production. The result shows that % P sorption varied with depth and was strongly influenced by pH. The P sorption was least at the neutral pH range of 7.0 with a mean value of 12.90 and was highest at very low pH (pH 3) with a mean value of 26.50. It was also high at alkaline pH range (pH 8.6) with a mean value of 13.84 confirming the influence of pH on P sorption in line with several studies stated in literature All the data collected were subjected to statistical analysis using Analysis of Variance of GenStat Statistical Package and means were separated using Duncan Multiple Range Test of the same GenStat package. It is recommended that farmers in the study area should maintain a neutral pH to minimize P sorption.

Every nation requires sustainable development to cater for its people and growing
economy. Nigeria is not exempted from this trend. The fact is that human resources
form any established sustainable development. This implies that the place of
teachers cannot be over-emphasized in the teaching -learning process. In Nigeria,
it appears that the teaching of art in Junior Secondary schools faces a lot of setbacks
not only in infrastructural facilities, equipment, tools and art materials but also in
the area of under-employment of trained Art teachers in schools. This incident may
have resulted in students’ lack of interest in offering Fine Arts at Senior Secondary
level. Due to the important role that Art plays in general education, it is important
to see that this subject is taught well at Junior Secondary level. To achieve this, both
qualified and adequate number of Art teachers becomes necessary. This study:
“Availability and Adequacy of Art Teachers in Junior Secondary Schools in Oredo
Local Government Area, Edo State” therefore, has specific objectives of assessing
the availability of Art teachers compared to the number of students offering Fine
Arts at the Junior Secondary level; determine what needs to be done to solve the
problem of inadequacy of Art teachers in the area of study, among others. Survey
research design will be employed in this study with two test instruments; Test of
Availability of art teachers questionnaire” to be administered among Art teachers
and “Test to buttress the data collected through art teachers. The data generated
from the study will be analyzed using simple percentages and recommendations
made from emerging results.

This paper assessed the impact of the oil and gas exploitation of the xyz in the Niger Delta region. The Niger Delta region is best known as a region that sustains much oil exploration and exploitation by the agent of western economic power. The Niger Delta region basin is considered as the mainstay of the Nigeria economy for its significantly high level of the oil reserves. The revenue and incomes generated by the petroleum industry have contributed to
the well-being of Nigeria. There have been cases of oil spillage reported leaving the people completely impoverished with no meaningful alternative source of livelihood .This study was designed to investigate the impact of crude oil exploitation in producing communities by accessing the extent to which it has led to environmental degradation such as heavy metal exposure. This investigation was done by carrying out a comparative study on the producing and non-oil producing communities. To achieve this objective the soil, plant and produced water[effluent] were collected from the oil and non-oil producing communities and analyzed using atomic absorption spectrometry for copper, iron, cadmium, lead, zinc, and magnesium respectively and comparing with WHO standard. The result showed a significant relationship between oil exploitation and environmental degradation in the community. In view of these finding remediation method must be adopted to safeguard the communities. The data will be useful for future monitoring of heavy metal exposure in the communities.

The study investigated premarital sex among secondary school students in Egor Local Government Area, Edo State. To guide this study, five research questions were raised and they were all answered. The study adopted a descriptive research design. The population of study was 5,373 respondents in Egor Local Government Area, Edo State.
The study adopted a descriptive survey design, 250 respondents were randomly selected from 5,373 students which was the population of the study. The instrument used in collecting the data was questionnaire. The data collected was analysed using a simple percentage.
The study revealed that premarital sex among secondary school students can lead to poor academic performance, various forms of sexually transmitted diseases, unwanted pregnancies and death. Thus, parents should educate their children about sex at early age. Health educators should organise awareness campaign in order to provide adequate reproductive health information to students.

This study was carried out to investigate the use of contraceptives among female students of University of Benin, Benin City. Four research questions were raised in the study, The study was a descriptive research which adopted the survey research design . The descriptive survey design was adopted in this study. The population of the study comprises of the (19,288) female undergraduate students in the 14 faculties in the University of Benin. Using random sampling technique, one percent of the total pollution, that is, one hundred and forty three (143) female undergraduate students in 7 faculties across University of Benin were sampled for the study. Descriptive statistics such as frequency and percentage were used in the data analysis of the study. The questionnaire was validated by two experts and the researcher’s supervisor and test retest method was used to establish reliability of which it's coefficient was 0.89 ascertaining the reliability of the questionnaire. Descriptive statistics such as frequency and percentage were used in the data analysis of the study The findings revealed that; Proportion of female students using contraception 13 in University of Benin is 63.6 %. Three most commonly used contraceptive among female students of University of Benin are emergency contraceptive pills, oral pills and withdrawal method. It was recommended among others that; Consistent use of regular contraceptives and condoms should be emphasized to reduce not only unplanned pregnancies but also sexually transmitted diseases and Government, individuals, philanthropic organizations and Non-governmental organizations should fully participate and increase funding and logistic support to ensure that sensitization of contraceptive use cover every nooks and crannies of University
campuses.