This study determined the efficacies of cognitive conflict and 5E instructional models on student... more This study determined the efficacies of cognitive conflict and 5E instructional models on students’ conceptual change achievement and self-efficacy in particulate nature of matter concepts in physics. In this study, non-equivalent groups quasi-experimental design was used. A sample of 195 senior secondary school year 1 students (SSI) with an average age of ( M = 14.64, SD = 3.34) was used. Particulate Nature of Matter Conceptual Change Test (PNMCCT), and Particulate Nature of Matter Self-Efficacy Scale (PNMSES) were used to collect data. The SES was adapted and consists of 30 items of four-point Likert-type. A trial test was done on 20 SS1 physics students using the validated instrument. The estimate of internal consistency of .86 and a temporal stability of .99 were obtained for PNMCCT while an estimate of internal consistency of .71 was obtained for PNMSES. Before treatment, the initial conceptual change achievement and self-efficacy of the subjects were established using PNMCCT a...
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)
For most Small and Medium-scale Enterprises (SMEs) and startups in Nigeria, conducting market res... more For most Small and Medium-scale Enterprises (SMEs) and startups in Nigeria, conducting market research and evaluation is solely based on customers' verbal feedback and demands, which is often flawed and highly limited. Social media (Twitter), as a business intelligence tool, can help SMEs gain insight into customers' perspectives of their products and services through Sentiment Analysis. This research presents a Twitter Sentiment Analysis for business intelligence using three machine learning algorithms; Bernoulli Naive Bayes (BNB), Linear Support Vector Classification (SVC), and Logistic Regression (LR) algorithm, to get the text polarity of tweets (Negative/positive). The dataset used for the research was gotten from Kaggle; the tweets were processed and analyzed using Python programming libraries on Kaggle's Jupyter Notebook cloud environment. Our result showed that Logistic Regression achieved better performance with an accuracy of 83% based on Precision-Recall evaluation metrics.
Today social media has grown to be a big player in the way businesses and organizations operate, ... more Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified fi...
Over the years, storage network technology has been faced with significant changes and there are ... more Over the years, storage network technology has been faced with significant changes and there are recent innovations trying to improve the level of service and reliability in storage area network. The need for storage of data and information as well as the increase of security awareness in the general population has brought the concept of Storage Area Network to the forefront. Fibre Channel SANs have become the backbone for serving the information needs of enterprise data centers. This paper presents an overview of SAN technology which is implemented using fibre channel technology, securing a Storage Area Network by using best practices in setting up a SAN. New security protocol called DH CHAP (Diffie Hellman challenge handshake authentication protocol) are implemented to counter the threats and protect data authenticity, confidentiality and integrity.
The level of patronage being experienced in Global System for Mobile Communication (GSM) in Niger... more The level of patronage being experienced in Global System for Mobile Communication (GSM) in Nigeria is overwhelming, this is due to the fact that GSM is been used by anyone , anytime and everywhere .This led to a lot of congestion in network resulting to bandwidth degradation and decrease in quality of services. This research has developed a management algorithm for the management of the GSM congestion and evaluated the algorithm based on their performance, Call admission control was combined with other GSM congestion control mechanism to achieve a good and better result. The work integrates all the algorithms together in order to manage the congestion considering all the strengths and constraints of each algorithm.
Monoethanolamine (MEA) is commonly used as a benchmark for solvent development within postcombust... more Monoethanolamine (MEA) is commonly used as a benchmark for solvent development within postcombustion CO2 capture. The physical properties data for this system are scarce, especially for loaded solutions. In this paper new measurements of physical properties (density, viscosity, and physical N2O solubility) of unloaded and loaded solutions are presented. Available literature data were collected, and semiempirical models were developed and shown to represent all experimental data very well.
TOWARDS COLLABORATION BETWEEN LAWYERS AND SOCIAL WORKERS: A CONTENT ANALYSIS OF JOINT DEGREE PROG... more TOWARDS COLLABORATION BETWEEN LAWYERS AND SOCIAL WORKERS: A CONTENT ANALYSIS OF JOINT DEGREE PROGRAMS IFEM EMMANUEL ORJI Adviser: Professor Willie F. Tolliver Collaboration is a central issue in the interdisciplinary education of social work and law students. Joint JD/MSW degrees have the potential to promote collaboration between practitioners of law and social work in areas where their practices converge. The 1969 recommendations by the National Conference of Lawyers and Social Workers (NCLSW) to establish these joint degree programs assumed that collaborative learning would occur within them. However, prior research has not investigated whether or not this occurs. The purpose of this dissertation was to determine whether evidence of the intent to promote collaboration was present in written materials associated with joint degree programs, specifically field work manuals. The methods used in this study involved adapting the RELATUS Natural Language Environment program to conduct a...
Today social media has grown to be a big player in the way businesses and organizations operate, ... more Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified field; the system cleans the data and presents the information in an actionable format. Python was used for Twitter data mining, and sentiment analysis of the tweets was done using Naive Bayes classifiers.
This study evaluates the outcome of Wilms tumor (WT) following introduction of multidisciplinary ... more This study evaluates the outcome of Wilms tumor (WT) following introduction of multidisciplinary team management and patient treatment stratification by tumor histology in two referral centers in southeastern Nigeria.
This study determined the efficacies of cognitive conflict and 5E instructional models on student... more This study determined the efficacies of cognitive conflict and 5E instructional models on students’ conceptual change achievement and self-efficacy in particulate nature of matter concepts in physics. In this study, non-equivalent groups quasi-experimental design was used. A sample of 195 senior secondary school year 1 students (SSI) with an average age of ( M = 14.64, SD = 3.34) was used. Particulate Nature of Matter Conceptual Change Test (PNMCCT), and Particulate Nature of Matter Self-Efficacy Scale (PNMSES) were used to collect data. The SES was adapted and consists of 30 items of four-point Likert-type. A trial test was done on 20 SS1 physics students using the validated instrument. The estimate of internal consistency of .86 and a temporal stability of .99 were obtained for PNMCCT while an estimate of internal consistency of .71 was obtained for PNMSES. Before treatment, the initial conceptual change achievement and self-efficacy of the subjects were established using PNMCCT a...
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)
For most Small and Medium-scale Enterprises (SMEs) and startups in Nigeria, conducting market res... more For most Small and Medium-scale Enterprises (SMEs) and startups in Nigeria, conducting market research and evaluation is solely based on customers' verbal feedback and demands, which is often flawed and highly limited. Social media (Twitter), as a business intelligence tool, can help SMEs gain insight into customers' perspectives of their products and services through Sentiment Analysis. This research presents a Twitter Sentiment Analysis for business intelligence using three machine learning algorithms; Bernoulli Naive Bayes (BNB), Linear Support Vector Classification (SVC), and Logistic Regression (LR) algorithm, to get the text polarity of tweets (Negative/positive). The dataset used for the research was gotten from Kaggle; the tweets were processed and analyzed using Python programming libraries on Kaggle's Jupyter Notebook cloud environment. Our result showed that Logistic Regression achieved better performance with an accuracy of 83% based on Precision-Recall evaluation metrics.
Today social media has grown to be a big player in the way businesses and organizations operate, ... more Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified fi...
Over the years, storage network technology has been faced with significant changes and there are ... more Over the years, storage network technology has been faced with significant changes and there are recent innovations trying to improve the level of service and reliability in storage area network. The need for storage of data and information as well as the increase of security awareness in the general population has brought the concept of Storage Area Network to the forefront. Fibre Channel SANs have become the backbone for serving the information needs of enterprise data centers. This paper presents an overview of SAN technology which is implemented using fibre channel technology, securing a Storage Area Network by using best practices in setting up a SAN. New security protocol called DH CHAP (Diffie Hellman challenge handshake authentication protocol) are implemented to counter the threats and protect data authenticity, confidentiality and integrity.
The level of patronage being experienced in Global System for Mobile Communication (GSM) in Niger... more The level of patronage being experienced in Global System for Mobile Communication (GSM) in Nigeria is overwhelming, this is due to the fact that GSM is been used by anyone , anytime and everywhere .This led to a lot of congestion in network resulting to bandwidth degradation and decrease in quality of services. This research has developed a management algorithm for the management of the GSM congestion and evaluated the algorithm based on their performance, Call admission control was combined with other GSM congestion control mechanism to achieve a good and better result. The work integrates all the algorithms together in order to manage the congestion considering all the strengths and constraints of each algorithm.
Monoethanolamine (MEA) is commonly used as a benchmark for solvent development within postcombust... more Monoethanolamine (MEA) is commonly used as a benchmark for solvent development within postcombustion CO2 capture. The physical properties data for this system are scarce, especially for loaded solutions. In this paper new measurements of physical properties (density, viscosity, and physical N2O solubility) of unloaded and loaded solutions are presented. Available literature data were collected, and semiempirical models were developed and shown to represent all experimental data very well.
TOWARDS COLLABORATION BETWEEN LAWYERS AND SOCIAL WORKERS: A CONTENT ANALYSIS OF JOINT DEGREE PROG... more TOWARDS COLLABORATION BETWEEN LAWYERS AND SOCIAL WORKERS: A CONTENT ANALYSIS OF JOINT DEGREE PROGRAMS IFEM EMMANUEL ORJI Adviser: Professor Willie F. Tolliver Collaboration is a central issue in the interdisciplinary education of social work and law students. Joint JD/MSW degrees have the potential to promote collaboration between practitioners of law and social work in areas where their practices converge. The 1969 recommendations by the National Conference of Lawyers and Social Workers (NCLSW) to establish these joint degree programs assumed that collaborative learning would occur within them. However, prior research has not investigated whether or not this occurs. The purpose of this dissertation was to determine whether evidence of the intent to promote collaboration was present in written materials associated with joint degree programs, specifically field work manuals. The methods used in this study involved adapting the RELATUS Natural Language Environment program to conduct a...
Today social media has grown to be a big player in the way businesses and organizations operate, ... more Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified field; the system cleans the data and presents the information in an actionable format. Python was used for Twitter data mining, and sentiment analysis of the tweets was done using Naive Bayes classifiers.
This study evaluates the outcome of Wilms tumor (WT) following introduction of multidisciplinary ... more This study evaluates the outcome of Wilms tumor (WT) following introduction of multidisciplinary team management and patient treatment stratification by tumor histology in two referral centers in southeastern Nigeria.
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Papers by Emmanuel Orji