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example of acknowledgement in research paper

Knowledge of Book-Keeping as a Predictor of Academic  Performance in Principles of Accounts among Bu

The major purpose of this study is to find out the extent to which previous knowledge of Book-keeping will predict students’ academic performance in Principles of Accounts 1 (BED 111) at the NCE 100 level in College of Education, Ikere Ekiti, Ekiti State, Nigeria. The study employed an ex-post facto research design with a sample of 371 selected from a population of 708. Three research hypotheses were tested at 0.05 level of significant using T-test, Standard deviation, Multiple regression and Analysis of variance. A finding from the study reveals that previous knowledge of Book-keeping significantly contributes to the prediction of academic performance of students in Principles of Accounts 1 (BED 111) among others. It was concluded that the influence of previous knowledge in teaching/learning process provides the background to framework upon which new learning will be placed. It is recommended that Joint Admission Matriculation Board (JAMB) should properly streamline

Promoting Functional Teacher Education in Nigeria:  Problems and Prospects

It is an undisputable fact that no education style can rise above the quality of its teachers. Teacher education advancement will determine the position of the country in the comity of nations. Hence, the nation’s development can only be enhanced by the quality of education given to her citizens. This paper therefore, discusses the meaning of teacher education, historical development of teacher education in Nigeria, present position of teacher education, relevance of teacher education, aims of teacher education, problems militating against teacher education in the country and various strategies taken by the government to promote the growth and development of teacher education in Nigeria examined

Students’ Variables as Predictor of Secondary School  Students’ Performance in Physics

The Students’ Variables as Predictor of Secondary School Students’ Performance in Physics in Ekiti West Local Government Area of Ekiti State, Nigeria was investigated in this study. The study adopted a survey research design of the ex-post facto type. The sample comprised 120 senior secondary school II Physics students drawn from the six secondary schools in Ekiti West Local Government Area of Ekiti state. The instruments used for the study was questionnaire and past academic performance in Physics of the students involved in the study. Two research hypotheses were generated and analysed in the study using Pearson’s Moment Correlation and Multiple regression statistical analysis. Among others, the study revealed that: students‘ variables (study habit, attitude to and interest of students in Physics) are better predictors of students’ performance in Physics, while student gender has no influence on students academic performance (is a poor predictor).

Evaluating the Enhancing Capacity of Multiple Carrier  Code Division Multiple Access (Mc-Cdma) Syste

In Communication system, the system capacity and performance are adversely affected and degraded by interference. Hence, power control plays a prominent role in an interference-limited system, which increases the efficiency by mitigating the adjacent and co-Channel interference in the system. In this paper, primarily power control is said to be used in maintaining the acceptable Carrier to Interference Ratio (CIR) by meeting some Quality of service (QoS) requirements Objective function that is defined as maximum channel capacity in a power constraint scenario. The signals in a radio channel undergo different propagation effects like reflection, refraction, scattering and shadowing. Hence, the distribution of users across subcarrier groups as well as their transmission powers within a given cell has a significant effect on how users and power are accordingly distributed elsewhere in the network to maximize the capacity of the system thereby enhancing its performance

Improving Wireless Sensor Network Performance Using  BigData and Clustering Approach

Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.

A Real-Time VIS for Rail Flaw Detection

Rail inspection is an important task in railway maintenance. The speed and loads of trains have been increasing greatly in recent years, and these factors inevitably raise the risk of producing rail defects. Mainly the discrete surface defects impact the riding quality and safety of a railway system. However, it is a challenge to inspect such defects in a vision system because of illumination inequality and the variation of reflection property of rail surfaces. This project presents a realtime VIS for discrete surface defects of rail heads. VIS comprises the Image Acquisition Subsystem (IAS) and the image analysis subsystem. IAS acquires gray rail images for the surface of a rail head, and the latter processes rail images and detects possible defects. This paper propose the Local Normalization(LN) method to enhance the distinction between defects and background in a rail image, considering illumination inequality and the variation of reflection property of rail surfaces

Biak Tribal Culture Related Papua Women's  Reproductive Health in Biak Numfor Regency, Papua  Provin

Values and norms that develop in people of Papua tend to discriminate women which can affect the woman health status and may lead to a high rates of maternal and child deaths of Biak tribe in Biak Numfor Regency, Papua Province. This study aims to develop concepts and propositions on women's reproductive health (pregnancy health, healthcare delivery and post-partum health) on Biak tribal culture in Biak Numfor. The research design is qualitative with the ethnometodology approach, symbolic interaction, and Kasper models analogy. Sources of data obtained from informants by interview, observation and documentation. Informants consisted of (1) the macro level, the tribal chief / head of customs, (2) the meso level, the community leaders / traditional leaders, and (3) a micro level, the head of the family / in-laws / parents, informants pregnant women, maternity women informans and informants during childbirth. The results found the concept of loose tribal cultures showed

Salvaging New Lives: Low Birth Weight and NICU  Protocol

Background : A low birth weight baby is a clinical and diagnostic challenge. The neonatologists are faced with numerous neonatal intensive care unit protocols. This study was designed to review the policies of management of neonatal jaundice, sepsis, anemia, hypoglycemia, jaundice and hypoxic encephalopathy in a low birth weight newborn. Methods: Care of newborns in was done in intensive care unit after numerous research papers on low birth weight management were referred.

Optimizing the relevancy of Predictions using Machine  Learning and NLP of Search Query

- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev

Proximate and Mineral composition of Some Traditional  Vegetables in Akwa Ibom State, Nigeria.

This research work was carried out to investigate the proximate and mineral composition of some traditional vegetables in Akwa Ibom State, Nigeria. These vegetables include: Talinum triangulare, Hensia crinita, Cucurbita maxima and Lasianthera africana. The vegetables were washed in potable water to remove unwanted matters and were analyzed for proximate and mineral content. All analyses were carried out in three replicates and the mean data were presented on tables using the spread sheet Microsoft Excel. Talinum triangulare had the highest protein content (56.72%) and moisture content (80.11%) but had the lowest content of ash (6.31%), crude fibre (2.96%) and carbohydrate (6.91%). Ash and crude fibre were present in low quantities in Talinum triangulare, Hensia crinita, and Lasianthera africana, except Cucurbita maxima which had the highest composition of ash (14.06%) and crude fibre (9.37%). Mineral composition (Potassium (K), Calcium (Ca), Magnesium (Mg) and

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