THEME: TOWARDS UNLEASHING SUB-SAHARA AFRICAN RESOURCES FOR SUSTAINABLE DEVELOPMENT: MULTI-DISCIPLINARY APPROACH
DATE: 30th – 31st DECEMBER, 2024
VENUE: GOMBE STATE UNIVERSITY, GSU-GOMBE, GOMBE STATE, NIGERIA
ORGANIZER: MEDITERRANEAN RESEARCH AND PUBLICATIONS INTERNATIONAL
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CONFERENCE ABSTRACT:
MULTIVARIATE ANALYSIS ON THE EFFECT OF ORGANIC AND INORGANIC FERTILIZER APPLICATION ON GROWTH AND YIELD OF RICE PRODUCTION IN NIGER STATE
ALFA, M. B; AND USMAN, A.
Department of Statistics, Federal University of Technology, Minna, Nigeria
Abstract
Multivariate statistical method provide a useful test for analysis of rigorous data sets. This work aim to perform multivariate analysis on the effect of organic and inorganic fertilizer on the production of rice. Methods of multivariate analysis of variance was used to study the relationship between the plant height, tillering height, and the yield using the data obtain from an experiment conducted by the research unit of National Cereal Research Institute Baddegi Niger State during 2022-2023 farming season. Each plot size was 16m2 and separated from each other by 1m space. The research was conducted in a Randomized Block Design with three replication at 36- level of rice and the plant height, tillering height were measured in 4,6,8 and 10 weeks. The multivariate result of between subject effect on plant height, tillering height and yield were observed that the control have a significant effect on tillering height since the p-value = 0.002 is less than 0.05. The result also show that the intercept of the application of both the organic and the control have significant influence on the plant height, tillering height, and the yield respectively with p-value = 0.000 and also the fertilizer type organic only have significant influence on both the tillering height with p-value 0.002 less than 0.05 significant level.
Keywords: Organic, inorganic, Control and Multivariate Analysis.
SUBSURFACE INVESTIGATION AND GEOTECHNICAL CHARACTERISATION FOR LEACHATE RISK ASSESSMENT AT IDU LANDFILL
- O. OTIENE; T. E. ADEJUMO; A. A. AMADI; F. E. EZE
Department of Civil Engineering, Federal University of Technology, Minna
ABSTRACT
Landfills are crucial for waste disposal, but they can significantly impact the environment through the release of contaminated fluid known as leachate. This leachate causes a significant contamination of soil, water, and, in some cases, air quality. This study investigates the potential environmental impact of leachate from the Idu landfill site in Gosa, Nigeria. Subsurface investigations using Electrical Resistivity Tomography (ERT) and Vertical Electrical Soundings (VES) revealed a multi-layered subsurface structure with varying depths to bedrock. Soil characterization revealed a range of soil types, including sandy soils, sandy clay, and clayey soils with varying plasticity. Geochemical analysis of the leachate indicated significant exceedances of permissible limits for various parameters, including pH, EC, TDS, COD, and BOD. These findings highlight the potential for leachate contamination of the surrounding environment and the need for effective mitigation measures to protect groundwater resources and ensure the safety of surrounding communities.
KEYWORDS: Landfills, Leachate risk assessment, geotechnical properties, subsurface investigation
EFFECT OF CONSTRUCTION MANAGEMENT STRATEGIES ON CONSTRUCTION PROJECT DELIVERY IN FCT ABUJA, NIGERIA
YUSUF M. D.; & ANIFOWOSE, M. O.
Department of Quantity Surveying, School of Environmental Technology, Federal University of Technology Minna, Niger State
ABSTRACT
The performance of any construction project depends on the strategy for success adopted by the organisation responsible for its implementation and execution. In view of this, the study examines the effect of construction management strategies on construction project delivery with a view to enhancing proper construction management strategies in construction projects. The study adopted a quantitative research approach with the use of a structured questionnaire administered to 224 respondents, of which 200 copies were returned and used for data analysis, giving a response rate of 89%. The analysis of the data was carried out with the use of percentage, mean item score (MIS), relative index of importance, and Anova analysis. The study revealed that the most important construction management strategies for project delivery are: provide a clear and precise definition of the various parties involved and their respective duties (MIS = 4.60). The study also revealed that the most significant barriers to the effective implementation of construction management strategies are: Budget limitations secured the top spot with a MIS of 4.50. On average, all the identified effects of the construction management strategies on project delivery were significant (average MIS = 4.04). The ANOVA results show a significant effect of the construction management strategies on project delivery (F=27.332, P < 0.001). The study concluded that construction management strategies have a significant impact on construction project delivery in the study area. The major recommendation from the study was that construction industry leaders should implement the findings of this study as a baseline for creating a business improvement plan in their organisations, especially the suggested strategies for enhancing the practice of construction firms.
Keywords: Construction, Delivery, Management, Project, Strategies
SYSTEMATIC REVIEW ON THE HEALTHCARE SERVICE DELIVERY THROUGH INFORMATION AND COMMUNICATION TECHNOLOGY SYSTEMS
SANUSI MUHAMMED ALIYU
Department of General Studies Gombe State College of Health Sciences and Technology Kaltungo
The integration of Information and Communication Technology (ICT) systems has revolutionized healthcare service delivery, enhancing accessibility, efficiency, and patient-centered care. This systematic review explores the impact of ICT in healthcare, examining current applications, benefits, challenges, and limitations. The study identifies key ICT systems employed in healthcare delivery, including electronic health records (EHRs), telemedicine platforms, mobile health (mHealth) applications, and decision-support systems. These technologies have significantly improved patient management, resource allocation, and communication among healthcare providers. However, the study also highlights persistent challenges such as digital divides, data security concerns, interoperability issues, and the resistance to technological adoption. Evidence from both developed and developing countries demonstrates that while ICT fosters innovation and addresses barriers to healthcare delivery, equitable access and sustained investment remain critical. This paper concludes with policy recommendations to optimize ICT-driven healthcare systems and calls for further research to enhance their long-term sustainability and effectiveness
Keywords: Technology Adoption and Implementation, Internet of Things (IoT), Wearable, computing, Telemedicine, Health informatics, Tel-health.
IMPACT OF URBAN PLANNING AND MANAGEMENT ON THE FCT DWELLERS: 2007-2020
MAVIS B. MADU; & IBRAHIM M. GADDAFI; & OBOROMENI WEINOH
National Open University of Nigeria
Abstract
The uncontrollable growth of the urban population in Abuja has brought a myriad of challenges. Increase in rural-urban migration, the economic, infrastructural, and social conditions in these urban centers have been incapable of providing a good standard of living for their inhabitants. With a population of about over 4 million, Abuja has faced different social amenities difficulties due to a lack of proper planning and management of dwellers. Using secondary data, the study expands on current knowledge with regard to the current challenges facing Abuja’s urbanization, the Federal Capital Territory. The study also analyses some of these long-standing challenges, their interrelatedness, and how they exacerbate the Nigerian government’s inability to solve them. Planning and mismanagement of dwellers which caused different gaps in the development of certain social amenities as well as led to the poor standard of living was discussed and carefully analyzed. Furthermore, the conclusion lays a response to these challenges with recommendations that Abuja City’s transportation issues are worse than the national average and need to be addressed. Correcting the master plan’s errors and flaws is necessary. Desertification in Abuja due to building and road construction activities should be checked by planting trees to protect the environment.
Keywords: Planning, Management of dwellers, Urbanization, Urban Development.
AMPLIFYING INDIGENOUS YORUBA FOLKLORE AS AN EMBODIMENT OF INFORMATION PORTAL FOR REJUVENATING DIMINISHING CULTURAL VIRTUES AND VALUES
SEKINAT TEMILADE YUSUF; & SANUSI ALIYU BABALOLA
Librarian, Kashim Ibrahim Library, Ahmadu Bello University, Zaria
Abstract
Indigenous Yoruba folklore, deeply rooted in the cultural heritage of sub-Saharan Africa, constitutes a rich repertoire of wisdom, ethical principles and community values. As an embodiment of an indigenous information portal, Yoruba folklore has the potential to address the challenges of declining virtues and cultural values in contemporary society. This study explores the role of Yoruba folklore in promoting ethical behavior, social cohesion and knowledge transfer between generations, emphasizing its importance for sustainable development. The article examines the narratives, proverbs and practices embedded in Yoruba folklore, demonstrating how they encapsulate moral guidelines and traditional knowledge essential for addressing modern social challenges such as inequality, conflict and human degradation. Furthermore, the study assesses the contributions of technology to the amplification and preservation of folklore, ensuring its accessibility and alignment with development objectives. Furthermore, this research advocates for the integration of folklore into government policies, educational programs, and sustainable development initiatives. By aligning the use of Yoruba folklore with specific Sustainable Development Goals (SDGs), such as: quality education, reduced inequality, and sustainable communities, the study positions folklore as a dynamic tool for renewing cultural identity and promoting sustainability in Sub-Saharan Africa
Keywords: Yoruba folklore, indigenous knowledge systems, cultural virtues, digital innovation, cultural sustainability, information portal, globalization, intergenerational continuity.
ACCENTUATING EFFICACY OF INTUITION AND CREATIVITY AS TRADITIONAL AFRICAN ART CHARACTERISTICS STILL NECESSARY FOR MODERN DEVELOPMENT
YUSUF A. ABDULRASAQ
Federal University of Education, Zaria
Abstract
In tandem with the urge to channel resources towards upholding, preserving and nurturing a desirable condition of human condition and growth, it just pertinent that the direction to turn is to an existing store of knowledge which had, in itself, been an impetus for the present level needing the desirable progression and nourishment. With a focus on a search for Sub-Sahara sustainable development, this paper identifies a potent constituent of unique human capacity that is exceptional to Africa. The paper isolates intuition and creativity in the field of art as a basis of the ancient human development that has culminated into the present day attainments. With all its merits and being the spring board for all human growth from existence, the paper highlights the essence of intuition and creativity in the field of art as having a pervading influence in all human endeavors even leading to Science and Technology. With all the expediency of intuition and creativity, the paper detects that that aspect of human that was the basis for science and technology has been subdued. With a highlight of array of unequalled prowess resulting from ancient traditional Africa art practice, the paper surmises that intuition and creativity in the field of art is a potent force of human knowledge that is still relevant for sustainable development, the conclusion is the unique peculiarity of intuition in art that is so much a concept of Africa that has continued to be denied. The recommendation is on the abeyance of the denial with propositions to make amend
Keywords: African artistic prowess, creativity, intuition, Sub-Sahara, Science and Technology
FIT A POISSON REGRESSION, NEGATIVE BINOMIAL REGRESSION AND POISSON LOG-NORMAL REGRESSION MODELS: AN APPLICATION TO ROAD ACCIDENT DATA IN NORTH CENTRAL NIGERIA
- ALHASSAN; & A. USMAN
Department of Statistics, Federal University of technology, Minna, Niger State.
ABSTRACT
This study, titled Modeling Road Accident Data in the North Central of Nigeria Using Poisson, Poisson-Lognormal, and Negative Binomial Regression Models, aims to analyze road accident data to identify significant predictors of fatalities and determine the best-fitting model using statistical criteria. The objectives include fitting Poisson, Poisson-Lognormal, and Negative Binomial regression models, assessing model performance using Akaike and Bayesian Information Criteria, and evaluating the contribution of key factors—Driver Error, Faulty Vehicle, and Road Condition—to fatalities. The Poisson-Lognormal model emerged as the best fit, with the lowest AIC (-132.4) and BIC (-118.5), a high R-squared (0.87), and a pseudo R-squared of 0.9999, indicating strong explanatory power. Key findings reveal that Driver Error is the most significant predictor, contributing to a 2.17% increase in fatalities per unit increase, followed by Faulty Vehicle (1.4%), while Road Condition showed no significant effect. Temporal and seasonal analyses highlighted fluctuating trends, with peaks in 2016-2017 and 2020, and a notable decline by 2024. Regional analysis identified the Federal Capital Territory (FCT), Niger, and Kogi as hotspots. The study concludes that targeting Driver Error and Faulty Vehicle issues through enhanced driver training, stricter enforcement, vehicle maintenance programs, and data-driven policies could substantially reduce fatalities. Road infrastructure improvements, while important, require complementary measures to maximize impact. These findings provide critical insights for policymakers to develop effective strategies to mitigate road accident fatalities in North Central Nigeria.
EFFECTS OF PUMICE AGGREGATE ON THE COMPRESSIVE STRENGTH OF CONCRETE SUBJECTED TO ELEVATED TEMPERATURE.
MUNNIR T.B1, GARBA M.M2, HAUWA I.B1, GHIYASSUDDEEN B1, LAWAL H.M1, JACOB A2.
1Department of Building Technology, Nuhu Bamalli Polytechnic, Zaria. 2Department of Building, Ahmadu Bello University, Zaria
Abstract
One of the factors that affect elevated temperature resistance of concrete is the type of aggregate used. Concrete made with lightweight aggregates show better resistance to heat than the one made with siliceous aggregate. This research evaluated the effects of pumice aggregate on the compressive of concrete with a view to establish the most suitable proportion of pumice aggregatein the production of heat-resistantconcrete. Two set of concrete samples were produced for the study. The first set is the control which was produced using 100% granite aggregate. The second set is the specimens which were produced by replacing 25%, 50%, 75% and 100% of granite aggregate with pumice aggregate. Concrete cube samples of 100 × 100 × 100mm and concrete cylinders of 200 × 100mm were produced and cured in water for 28 days. After which, the samples were removed from curing tank and air dried for 1 hour. After wards, 100 cube samples were tested for compressive strength, tensile strength and abrasion resistance. In addition, 100 cubes were subjected to elevated temperatures of 200oC, 400oC, 600oC and 800oC and tested for compressive strength. At 600oC, the residual compressive strength of the control, 25%, 50%, 75% and 100% pumice concrete are 36.44%, 33.96%,39.30%, 35.90% and 34.70% respectively. The research concludes that concrete made with 50% pumice showed better resistant to elevated temperatures than the control concrete sample and recommend that pumice aggregate should be used at 50% as to improve the resistance of concrete to elevated temperatures.
Key Words:Elevated temperature, Compressive Strength, Lightweight
BIOMETRIC AUTHENTICATION BASED ON FACIAL FEATURES IN IOT SYSTEM USING OPTIMISED CNN
AMINU DAU, PhD
Department of Computer Science, Hassan Usman Katsina Polytechnic, Katsina State Nigeria.
Abstract
Biometric authentication using facial features has emerged as a secure and user-friendly method for identity verification, particularly in Internet of Things (IoT) systems. However, deploying high-accuracy facial recognition models in resource-constrained IoT environments remains challenging due to computational and memory limitations. This paper proposes an optimized Convolutional Neural Network (CNN) model designed specifically for facial biometric authentication in IoT systems. The optimization techniques include model pruning, quantization, and the use of lightweight CNN architectures to ensure computational efficiency while maintaining high accuracy. The proposed model is evaluated on widely-used datasets, including Labeled Faces in the Wild (LFW) and CelebA. Results demonstrate that the optimized CNN achieves state-of-the-art performance with an accuracy of 96.7% on LFW and 95.2% on CelebA, outperforming several existing models in terms of precision, recall, F1-score, and overall computational efficiency. Furthermore, comparative studies with state-of-the-art approaches highlight the superiority of the proposed method in both performance and adaptability for IoT applications.
Keywords: Biometric authentication; Facial Recognition; Optimized; CNN; IoT System
SUBJECTIVE VISUAL COMFORT PREDICTION FOR COMPUTER SCREEN POSITIONS NEAR WINDOWS
SAMUEL PETER
Department of Architectural Technology, College of Environmental Studies, Hussaini Adamu Federal Polytechnic, Kazaure, Jigawa State, Nigeria
ABSTRACT
The factorial nature of visual comfort makes it necessary for all variables to be accounted for in any assessment study. Though numeric assessment metrics abound and have been instrumental in evaluating the visual acuity of spatial environment, they have failed to predict visual comfort. This is because visual comfort prediction involves using many factors that are impossible to evaluate numerically. Subjective evaluation has been accepted as the right assessment tool for visual comfort prediction because it takes into account all the variables and their interconnected influences. But there are only few studies on this, despite that subjective studies ensure research outcomes are acceptable. This study found out the subjective perceptions of visual comfort in two day lit studios with indoor spaces near windows known to have discomfort and veiling glare problems. Each of the 15 students that participated in the research was asked to carry out visual task on a laptop facing a side light window, backing a window and with computer screen placed parallel to a window. This exploratory research found out that many students expressed that they experienced veiling glare when computer screens were positioned facing the windows and discomfort glare when the screens were placed backing the windows. In both cases, many students stated that they erected makeshift shading devices in order to mitigate the challenges. Despite the challenges, participants expressed unwillingness to change sitting positions. This study concludes that allowing users to control their visual environments can ensure adaptation and tolerance. The paper recommends that subjective evaluations be carried out to test the validity of experimental research findings from studies with entirely different visual space settings.
Keywords: Discomfort glare, Subjective prediction, Veiling glare, Visual Comfort, Window.
A SPATIO-TEMPORAL ANALYSIS OF LAND SURFACE TEMPERATURE IN JIMETA WARDS: A 21-YEAR RETROSPECTIVE STUDY (1999 TO 2021)
TANKO BINIBONORI SALIHU
Department of Urban and Regional Planning, Federal Polytechnic Mubi
ABSTRACT
Land surface temperature (LST) is a critical parameter in understanding the urban heat island effect, which is a major concern in urban planning and management. Several studies have investigated the urban heat island effect in various cities around the world. However, there is a lack of studies on the urban heat island effect in Jimeta, Nigeria. This study aims to fill this knowledge gap by analyzing the spatial and temporal patterns of land surface temperature in Jimeta wards over a 21-year period. The data collection methods employed in this study involves Satellite Imageries and preprocessing, trend analysis was used to identifying the pattern and trend in Land Surface Temperature over time. Findings suggest that there are no significant outliers: Jarque-Bera test probabilities > 0.05 for all wards, suggesting no significant deviations from normality. Policy and Planning Insights on Urban Planning Strategies, Integration with Sustainable Development Goals and Community Engagement and Education
DESIGN AND IMPLEMENTATION OF LOAD CONTROL SYSTEM USING DUAL TONE MULTI FREQUENCY (DTMF)
*IDIEGE AUGUSTINE OKO; *ONATE CHARLES. S.; **EDET FAITH MENDIE; ***ANIETIE OKPON GEORGE; *SADIQ UMAR; & ****ALAGBAOSO TOCHUKWU SOLOMON
*Department of Electrical Electronics Engineering, the Federal Polytechnic Bauchi. **Department of Electrical Electronic Engineering, the Federal Polytechnic Kaltungo, PMB 009, Gombe State. ***National Water Resources Institutes, PMB 2309, Mando Road, Kaduna State. ****Department Science Laboratory Technology (Physics Electronics option), Imo State Polytechnic
Abstract
This paper proposes a load control system that utilizes Dual Tone Multi-Frequency (DTMF) technology to remotely control electrical appliances. The system consists of a DTMF encoder and decoder, a microcontroller, and a relay driver. The user can send commands to the system via DTMF tones generated by a telephone keypad or mobile app. The DTMF decoder detects the tones and sends corresponding digital signals to the microcontroller, which then activates the relay to control the connected load. This system provides a convenient and wireless way to control electrical appliances, making it suitable for home automation, industrial control, and IoT applications. The proposed system is efficient, reliable, and cost-effective, with potential applications in various fields.
THE IMPACT OF WHATSAPP IN PROMOTING OF ACADEMIC LIBRARY SERVICES IN FEDERAL UNIVERSITY OF WUKARI, TARABA STATE.
KEFAS GILBERT.
Library Department, Federal Polytecchnic Bali, Taraba State
ABSTRACT
This study investigates the impact of WhatsApp in promoting of academic library services in federal university of Wukari, Taraba state. it focused on the use of WhatsApp as a tool in promoting academic library services. WhatsApp is the most widely used social media outlet. The study maintained that using WhatsApp as a contemporary intermediate is estimated to go a long way to positively in promoting the library services and usage by students and staff of the federal university of Wukari, academic library, Taraba state, Nigeria (FUWUKARI). Today, there are various types of social media which is accessible for library usage. However, in developing countries, the situation is not the same. In addition, challenges in monitoring and use of the social media are highlighted. If this social media is adopted in the library, it will help University students and staff in terms of research and knowledge acquisition. Its importance is to help the academic library to foster good relationship with students, staff and host community. It is now clear that Facebook was chosen for federal university of technology academic library Minna (FUTMINNA), because it brings users together in term of sharing of information and communicate to its customers very well. Facebook is the most widely used social media among the various types of social network outlets. The study concludes that when Facebook is introduced in the academic library, it will enhance services. It informs students and staff of new arrival information resources in the library through facebook site. This phenomenon will also create a room for users to explore their interest or situations with other library customers. It will also provide online support communications abilities and knowledge among students and staff. It is a development to the host community.
ISOLATION, CHARACTERIZATION AND IDENTIFICATION OF MULTIDRUG RESISTANT BACTERIAL ISOLATES FROM SOME SWIMMING POOLS IN LAFIA, NASARAWA STATE, NIGERIA
1DENNIS D. YAKUBU; 2MANASSEH M. KATSA; & 3LAGI CHRYSANTUS ACHI
Department of Science Laboratory Technology, Isa Mustapha Agwai I Polytechnic, Lafia, Nasarawa State
ABSTRACT
Multidrug-resistant bacteria pose significant public health risks, especially in communal environments like swimming pools, where they can spread rapidly among users. This study aimed at the determination of the prevalence of Multidrug-Resistant Bacterial Isolates from some swimming pools in Lafia, Nasarawa State, Nigeria. A total of 9 (3 samples each) were collected from three different swimming pools in the state in sterile bottles and were transported to Isa Mustapha Agwai 1 Polytechnic Microbiology Laboratory and cultured on appropriate medium to assess bacterial presence. Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa were identified as the predominant bacteria. Nine antibiotics: Penicillin, Amoxicillin, Ciprofloxacin, Oxfloxacin, Augmentin, Streptomycin, Cephalosporin, Erythromycin, and Chloramphenicol were tested for susceptibility. The results revealed high levels of resistance to multiple antibiotics, particularly in Pseudomonas aeruginosa, which demonstrated resistance to Penicillin and Streptomycin. Staphylococcus aureus exhibited resistance to Penicillin but was highly susceptible to Amoxicillin, while Escherichia coli showed high susceptibility to Penicillin but resistance to Amoxicillin. These findings highlights the potential health risks posed by multidrug-resistant bacteria in swimming pools and underscore the need for improved sanitary and stricter monitoring to curb the spread of resistant pathogens.
Key words: Bacteria, Swimming pool, Multidrug-resistant, Susceptibility.
ASSESSMENT OF SOLID WASTE MANAGEMENT PRACTICE AT THE STAFF QUARTERS OF WAZIRI UMARU FEDERAL POLYTECHNIC, BIRNIN KEBBI, NIGERIA
1PAUL OJILE*, 1INUWA BUBA, 1ISYAKU USMAN MAKERA, 2YUSUF RABIU BENA
1Department of Architectural Technology, Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria. 2Department of Architecture, Kebbi State University of Science and Technology, Aliero, Nigeria
Abstract
Solid wastes generation is an inevitable outcome of human living. While they are potentially harmful, understanding how to manage them can lead to wealth creation and a safe community. However, studies on solid wastes management in campuses in north-west Nigeria are limited. Therefore, this paper aimed to evaluate solid waste management practice at the staff quarters of Waziri Umaru Federal Polytechnic, Birnin Kebbi. The research gathered data through administering questionnaires on participants via electronic means. The authors analysed questionnaires received using descriptive statistics using MicroSoft Excel, version2013 and obtained frequencies including means and ratios. The study found that much of the solid wastes generated in the study area were conveyed in open carts to disposal sites – a practice that caused air pollution. The study also found that recycling was a below-average practice among most of the participants. The paper suggested that sensitization on effective solid waste management be held for the residents. The paper also recommended formal designation of disposal sites and routine monitoring of the sites to ensure compliance.
Keywords: organic waste, recycle, refuse, reuse, open waste dump.
CONFLICT RELATED SEXUAL VIOLENCE: EXPLORING HUMANITARIAN LAW AND SEXUAL VIOLENCE ON WOMEN IN THE BOKO HARAM MAYHEM
MOHAMMED IDRIS Esq
Department of Legal Studies, Federal Polytechnic, Mubi, Adamawa State.
ABSTRACT
This paper examined the applicability of international humanitarian law to conflict-related sexual violence in areas of northeast Nigeria experiencing armed conflicts with Boko haram insurgents. It discussed the history of conflict-related sexual violence (CRSV), examined the legal framework for protection against sexual violence in armed conflicts, identified the challenges in prosecuting conflict related sexual violence in Nigeria, and proffered solutions towards tackling the menace of conflict related sexual violence in Nigeria. This paper revealed that in spite of International legal framework prohibiting the act of rape and other forms of sexual violence in armed conflict, this brutality persists, particularly against the girl child and women, in areas of armed conflict in Nigeria. It is found that in Nigeria, acts of conflict-related sexual violence cannot be prosecuted because the international treaties recognizing and criminalizing conflict-related sexual violence have not been domesticated into our laws and there are no domestic legislations on conflict-related sexual violence. The paper recommended that the relevant international treaties should be domesticated and our domestic laws be reviewed to criminalize conflict-related sexual violence for effective prosecution of war criminals or insurgents to act as deterrent to others.
Keywords: Conflict- related sexual violence, Humanitarian Law, Armed Conflicts, Boko-Haram Insurgency
SMART BUILDING TECHNOLOGIES: AWARENESS, IMPLEMENTATION AND CHALLENGES IN UYO, AKWA IBOM STATE, NIGERIA
AKPAN, KUFRE; EDEM, UWEM; & UMAH, MARTINA
Department of Estate Management and Valuation, Akwa Ibom State Polytechnic, Ikot Osurua, Ikot Ekpene, Akwa Ibom State.
Abstract
Implementation of smart building technologies is becoming increasingly important in the built environment, particularly in urban areas like Uyo, Akwa Ibom State. Smart building technologies have the potential to improve energy efficiency, reduce costs, and enhance security, but their adoption is often limited by various challenges. This study explores the current state of smart building technologies in Uyo, Akwa Ibom State, and identifies the level of awareness, implementation and challenges for their implementation. The study used a mixed-methods approach, combining both qualitative and quantitative data collection and analysis methods. The population for this study comprised property developers, occupants and property managers and a sample size of 246 respondents were selected for the study using convenience sampling technique. Data were analyzed using descriptive statistical methods which includes pie and bar charts. Inferential statistical method such as correlation analysis was also adopted to establish the relationship between the challenges and implementation of smart buildings. The results of the study show that the level of awareness of smart building technologies is high but implementation of smart building is at its infancy. The study further revealed that inadequate infrastructure and technical personnel are the significant challenges affecting implementation of smart buildings. The study recommends that policymakers should prioritize development of policies such as tax incentives and subsidies to promote adoption of smart building technologies; government should prioritise investment in infrastructure and adequate training programmes be organised to enhance the expertise of personnel involved in smart building projects.
Keywords: Awareness, challenges, implementation, infrastructure, smart building technologies.
ABSTRACT NO.2
EVALUATION OF SELECTED MACHINE LEARNING TECHNIQUES IN FEATURE EXTRACTION BASED FRAUD DETECTION SYSTEM IN ONLINE TRANSACTIONS
1ISMAILA W. OLADIMEJI,2ADEMOLA SEFIU A.,3ISMAILA FOLASADE M.
1,2Department of Computer Science, Ladoke Akintola University of Technology, Nigeria. 3Department of Computer Science, Osun State Polytechnic, Iree, Nigeria
Abstract:
The recent advances of e-commerce and e-payment systems have sparked an increment in financial fraud cases such as credit card fraud. Several classification techniques have been employed to detect credit card frauds in online transactions but their performances were affected by high cardholder’s data dimensionality. Thus, work employed Ant Colony Optimization for features extraction and evaluate its effectiveness using three selected classifiers. to detect fraud in credit cards online transactions. 3200 cardholders data (real and simulated) dataset with mix of genuine and fraudulent transactions. Ants Colony Optimization technique was used to extract features from the transactional data. Then, fraud detection system was designed with the three selected machine learning techniques (Back Propagation Neural Network, BPNN, Support Vector Machine, SVM and Naïve Bayes, NB) for classification. The results revealed that without features selection technique, NB, BPNN and SVM produced 86.4%, 88.7%, 93.6%, for accuracy respectively and while with ACO technique, the results or NB, BPNN and SVM produced 95.3%, 96.8%, and 97.6%.
Keywords Fraud Detection System, Back Propagation Neural Network, Support Vector Machine, Naïve Bayes, Ants Colony Optimization
EVALUATING THE EFFECTIVENESS OF FLOOD RISK INFORMATION SOURCES AND COMMUNITY ADAPTATION STRATEGIES IN THE SUDAN-SAHEL ZONE OF NIGERIA
*1UMAR, NURA KHALIL; 1MOHAMMED, HALIMATU; 2MOHAMMED, KAKA SHETTIMA, 3KURA, ABDULRAZAK TIJJANI; 1MOHAMMED TUKUR MURTALA; AND 1USMAN ADO KIBON
1Ahmadu Bello University Zaria, Nigeria. 2Univeristy of Maiduguri Borno, Nigeria. 3AlikoDangote Univeristy of Science and Technology Wudil Kano, Nigeria
Abstract
This study evaluates the effectiveness of flood risk information sources and community adaptation strategies in the Sudan-Sahel region of Nigeria, where recurring floods significantly impact local communities. A multi-stage sampling strategy selects study locations, focusing on regions prone to flood hazards. Data are gathered from 947 respondents through field surveys, utilizing tools like ODK for data collection. The findings from the analysis shows that 36.2% of respondents experienced floods two to three times in the past decade and 12.61% reported facing floods more than six times, with 55% enduring severe consequences. This prevalent flood exposure has sparked significant community concerns, with 32% of participants expressing heightened anxiety about future events. Regarding risk communication, 68% of respondents consider government agencies as their primary flood risk information source, though only 45% trust the reliability of this information. Additionally, over 60% of households reported significant losses due to flooding, attributing increased risk to poor drainage (35%) and deforestation (29%). The study further explores adaptation strategies, finding that 72% of households employ reactive measures like sandbagging and temporary relocation, while proactive adaptations, such as structural reinforcements, remain low at just 15%. Results highlight critical gaps in both the coverage and timeliness of flood risk information, as well as in long-term adaptation planning. These findings underscore the need for policymakers and disaster management agencies to strengthen flood preparedness by enhancing community education, improving information reliability, and promoting sustainable, proactive adaptation measures in the region.
Key Words: Flood impacts, Information effectiveness, Household adaptation
STRATEGIES TO ENHANCE ADOPTION OF ARTIFICIAL INTELLIGENCE IN REDUCING OCCUPATIONAL RISK IN THE NIGERIAN CONSTRUCTION INDUSTRY
IDAMIEH, W. K*A, GANIYU, B.OA
aDepartment of Quantity Surveying, School of Environmental Technology, Federal University of Technology, Minna, Niger State, Nigeria,
Abstract
The rate of accidents and injuries experienced by construction workers within the Nigerian construction industry is higher when compared to that of other developed countries. This study assessed strategies to enhance adoption of artificial intelligence (AI) in reducing occupational risk in the Nigerian construction industry with a view to improving safety performance at construction sites. Questionnaires were administered to the research population and 95% response rate was recorded. The use of descriptive and inferential statistical techniques was employed for the analysis of the data. Findings from this study show that the accidents that occur most often are those that ignore safety procedures (RII = 0.95, ranked 1st). All the ten (10) drivers identified for the adoption of AI in construction H&S management were significant based on the differences in professionals among the respondents using the Kruskal-Wallis H test. On average, the major drivers for AI adoption in construction H&S management were very significant (average RII = 0.81). On the average, all of the ten (10) strategies identified for enhancing the implementation of AI technology for H&S management were very effective (average RII = 0.81). Therefore, this study concludes that the Nigerian construction industry can reduce occupational risk by adopting strategies, such as “Providing comprehensive training programs to familiarize construction professionals with AI technologies”; “Initiating pilot projects to showcase the effectiveness of AI-based H&S management”; and “Fostering collaboration among stakeholder”, for enhancing AI. The study recommends that construction firms and all other relevant stakeholders develop a mechanism that incorporates all the identified strategies to enhance the implementation of AI technology for H&S management.
Keywords Artificial Intelligence, Construction Industry, Occupational Risk, Reducing, Strategies
APPLICATION OF SOME FORECASTING MODEL FOR PRIDICTING PRICES ON AGRICULTURAL COMMONDITIES IN FEDERAL CAPITAL TERRITORY ABUJA
E.O. OLULEYE and O.M. ADETUTU
Department of Statistics, Federal University of Technology, Minna, Niger State.
ABSTRACT
This study evaluates the performance of various forecasting models in predicting the prices of agricultural commodities in the Federal Capital Territory (FCT). The aim is to identify the most effective model for forecasting food prices and to analyze trends over a seven-year period. Key forecasting models applied include Exponential Moving Average (EMA), Seasonal Autoregressive Integrated Moving Average (SARIMA), Exponential Smoothing, and Support Vector Regression (SVR). Model performance was assessed using average Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). Results showed that the Exponential Moving Average model outperformed others, with the lowest average MAE (94.05), MSE (66895.17), and RMSE (219.04). The study also identified consistent trends in food prices over the forecasted five-year period (2024–2028) for key commodities such as rice, maize, soybeans, yam, and Garri. The forecasted price of milled rice remained stable at 929.21 Naira, while yam maintained a consistent price of 3320.59 Naira throughout the period. The findings suggest that the Exponential Moving Average model is a robust tool for predicting agricultural commodity prices in the FCT, enabling better decision-making and resource allocation in the sector.
MODELING ROAD ACCIDENT DATA IN THE NORTH CENTRAL OF NIGERIA USING POISSON, POISSON LORNORMAL AND NEGATIVE BINOMIAL REGRESSION MODELS
- ALHASSAN and A. USMAN
Department of Statistics, Federal University of Technology, Minna, Niger State.
ABSTRACT
This study, titled Modeling Road Accident Data in the North Central of Nigeria Using Poisson, Poisson-Lognormal, and Negative Binomial Regression Models, aims to analyze road accident data to identify significant predictors of fatalities and determine the best-fitting model using statistical criteria. The objectives include visualizing road accident data, fitting Poisson, Poisson-Lognormal, and Negative Binomial regression models, assessing model performance using Akaike and Bayesian Information Criteria, and evaluating the contribution of key factors—Driver Error, Faulty Vehicle, and Road Condition—to fatalities. The Poisson-Lognormal model emerged as the best fit, with the lowest AIC (-132.4) and BIC (-118.5), a high R-squared (0.87), and a pseudo R-squared of 0.9999, indicating strong explanatory power. Key findings reveal that Driver Error is the most significant predictor, contributing to a 2.17% increase in fatalities per unit increase, followed by Faulty Vehicle (1.4%), while Road Condition showed no significant effect. Temporal and seasonal analyses highlighted fluctuating trends, with peaks in 2016-2017 and 2020, and a notable decline by 2024. Regional analysis identified the Federal Capital Territory, Niger, and Kogi as hotspots. The study concludes that targeting Driver Error and Faulty Vehicle issues through enhanced driver training, stricter enforcement, vehicle maintenance programs, and data-driven policies could substantially reduce fatalities. Road infrastructure improvements, while important, require complementary measures to maximize impact. These findings provide critical insights for policymakers to develop effective strategies to mitigate road accident fatalities in North Central Nigeria.
PREDICTING FLOOD DISASTERS IN BADE LOCAL GOVERNMENT OF NORTHEASTERN NIGERIA: A MACHINE LEARNING APPROACH
*ABUBAKAR M. BICHI; *USMAN S. IDRISS; *JEROME M. GUMPY; & **USMAN UMAR
*Department of Computer Science, Federal University Gashua. **ICT Department, Federal University Gashua
ABSTRACT
One of the most damaging natural calamities is flooding, which is also very difficult to model. Flood prediction systems have been greatly enhanced over the past few decades by machine learning (ML) techniques, which provide better performance and affordable ways to simulate the intricacy of physical processes associated to flooding. Because machine learning approaches rely only on observational data and have little processing needs, they have become increasingly popular. Research on improving flood prediction models helps in risk mitigation, policy formation, minimizing fatalities, and minimizing flood-related property damage. Nevertheless, the majority of these initiatives have concentrated on developed nations, frequently ignoring emerging nations, especially rural communities, despite improvements in flood prediction technology. Using a historical rainfall dataset from 2000 to 2020, this study attempts to create a machine learning model to forecast floods in Yobe State’s Bade Local Government Area. The approach is intended to be used in other areas of Nigeria that are at high danger of flooding. Using Accuracy, Recall, and Receiver Operating Characteristic (ROC) scores, we assessed and contrasted three machine learning algorithms: Decision Tree, Logistic Regression, and Support Vector Classifier (SVC). Out of the three, Logistic Regression had the best accuracy and recall performance. Furthermore, with above-average accuracy and just below-average recall scores, the Decision Tree performed better than the Support Vector Classifier.
KEYWORDS — Flood Prediction, Bade, Machine Learning, Decision Tree, Logistic Regression, Support Vector Regression.
ASSESSMENT OF SCAFFOLD ERECTION AND DISMANTLING ON CONSTRUCTION SITES IN ABUJA
OTUNOLA, S. O.; & JIMOH, R. A.
Centre for Disaster Risk Management and Development Studies, Federal University of Technology, Minna.
ABSTRACT
A scaffold is a construction designed primarily to enable work at elevated positions while ensuring the safety of users. Unfortunately, the safety of individuals is often disregarded, resulting in accidents or building catastrophes that lead to fatalities or significant material damages. In view of this, the study assessed scaffold erection and dismantling on construction sites with a view to enhancing safety management on construction sites in Abuja. A total of 50 construction professionals were sampled. To select the small and medium construction companies, a snowball sampling technique was used, while purposive sampling was used to select the respondents from the identified firms. The data analysis was carried out using descriptive statistics such as percentage and mean item score (MIS). The study revealed that the most important driver for adhering to the procedures for erecting and dismantling scaffolds on construction sites is “Guidelines for alteration of existing scaffold” (MIS = 4.08). It was revealed that the most important barrier to adhering to the procedures for erecting and dismantling scaffolds on construction sites is “incompetent erector” (MIS = 4.14). It was shown that the most effective strategy that can be adopted to encourage compliance is “using replacement components from the original manufacturer” (MIS = 4.07). The study therefore concludes that adequate time should be allocated to scaffold erection and dismantling on construction sites in Abuja to improve safety management. The study’s major recommendation was that construction firms should focus more on addressing the barriers to adhering to the procedures for erecting and dismantling scaffolds on construction sites, particularly the issue of incompetent scaffold erectors and communication problems. Construction firms should ensure that they use replacement components from the original manufacturer.
Keywords: Assessment, Construction Sites, Dismantling, Erection and Scaffold
From Africa to Europe and Vice Versa: The Educational Challenges of the Youths in Sub-Saharan Africa
ABDULLAHI IBRAHIM SALAHU-DEEN (PhD); & DR TIMOTHY KAYODE TOWOJU,
Department of Arts and Science Education, Kwara State University, Malete, Kwara State, Nigeria.
Abstract
The educational challenges faced by youths in Sub-Saharan Africa are complex and multifaceted, significantly shaping their socio-economic prospects and development. This article examines the barriers that hinder access to quality education within the region, emphasizing both internal and external factors that contribute to these challenges. It investigates how economic disparities, political instability, gender inequality, inadequate infrastructure, and cultural dynamics interact to limit educational opportunities for young people. Additionally, the paper explores the experiences of Sub-Saharan African youths who migrate to Europe, highlighting the differences in educational opportunities and outcomes between their home countries and host societies. Using a comparative framework, the study analyzes the interplay between migration and education, focusing on how systemic, structural, and socio-economic factors shape the educational trajectories of African youths in both contexts. Particular attention is given to the challenges faced by migrant youths in adapting to new education systems, overcoming language barriers, and navigating social integration in Europe. The research also examines the implications of these challenges for the long-term socio-economic mobility of African youths, both within their home countries and the diaspora. By shedding light on these issues, the paper underscores the need for comprehensive and innovative strategies to address educational disparities. It calls for collaboration between governments, international organizations, and community stakeholders to develop policies and initiatives aimed at improving access to quality education, supporting migrant youth, and fostering equitable learning environments. Ultimately, the study seeks to contribute to a deeper understanding of the educational challenges and opportunities for Sub-Saharan African youths and advocates for targeted interventions to bridge existing gaps and promote sustainable development.
ASSESMENT OF THE ADOPTION OF GREEN BUILDING TECHNOLOGY TECHNIQUES ON WORKERS’ PERFORMANCE IN PUBLIC OFFICE BUILDINGS (ABUJA, NIGERIA AS A CASE STUDY)
1YUNUSA A.; & 2ALUMBUGU P. O.
1Quantity Surveying Department, Federal Polytechnic Bida, Niger State, Nigeria. 2Quantity Surveying Department, Federal University of Technology, Minna, Niger State, Nigeria.
ABSTRACT
Green Buildings (GB) can improve occupant satisfaction, productivity and overall well-being (Quandung et. al., 2020). Poor adoption of GBT has led to poor indoor air quality in building in Nigeria, resulting in negative impacts on occupants’ health and productivity (Oyedepo, 2017). The Nigeria Government has made efforts to promote the adoption of Green Building Technology (GBT) for sustainable development by establishing Nigerian Green Building Council (NGBC). In this light, this paper seek to assess effect of the adoption of green building technology on workers’ performance in public office buildings in Abuja, Nigeria by adopting the quantitative research approach. Data were collected with the use of structured questionnaires which were administered to 105 purposively sampled respondents who are both construction and non-construction professional public servants. Analysis of data was undertaken with the use of descriptive (Mean Item Score, MIS) and inferential (Spearman Rank correlation analysis) statistical techniques. Findings from the study revealed that the techniques involved in the adoption of GBT for public office buildings most adopted are “Daylighting” (MIS = 4.18) and “Direct solar gain” (MIS = 4.04). The most significant perceived effects of adoption of GBT on performance of workers in public office buildings are “GBT results in a high-quality” (MIS = 4.03) and “GBs help to reduce the demand for new power plants” (MIS = 3.91). There exists a strong, positive and significant relationship between the adoption of Indoor Air Quality/Lighting and workers’ satisfaction in public office buildings in Abuja (r = 0.474/0.420; p = 0.000). The study concludes that the impact of GBT on workers’ performance in public office buildings in Abuja is significant and can enhance healthier working environment and maximum output for office workers. It was therefore recommended that construction firms to collaborate with other stakeholders to set up mechanism for enhancing the adoption of GBT for public office buildings in Abuja.
Keywords: Green building, Green building technology techniques, workers’ performance
REPOSITIONING PRIMARY SCHOOL MATHEMATICS THROUGH INNOVATIVE TEAM INSTRUCTIONAL MODEL IN OYO METROPOLIS
*OYEGOKE, DEBORAH ADEPEJU (PhD); & **OLATUNJI, SAHEED OLAWALE
*Primary Education Department, School of ECPA Education, Federal College of Education (Special), Oyo. **Department of Early Childhood Care and Education, School of ECPA Education, Federal College of Education (Special), Oyo.
Abstract
This study investigated effect of innovative alternative instructional model on primary pupils’ achievement and interest in Mathematics. The study adopted pre-test, posttest, control group non-randomized quasi experimental design using 2 X 3 factorial matrix. Six public primary schools were randomly selected and randomly assigned to treatment from public schools in Oyo land. The sample size was 258 pupils. The study used two stimulus packages and three response instruments which were constructed by the researcher. The stimulus packages were Alternative Team Teaching Package (ATTP) and Conventional Teaching Package (CTP) while the response instruments were Pupils’ Mathematics Achievement Test (PMAT), Pupils’ Learning Styles Scale (PLSS) and Pupils’ Interest in Mathematics Scale (PIMS). Modified alternative team teaching and conventional teaching served as independent variables for the study, dependent variables were achievement and interest in Mathematics, while learning styles was the moderator variable. The reliability coefficients of PMAT and DT were found to be 0.84 and 0.87 respectively using KR20 while that of PLSS was established to be 0.90 using Cronbach alpha. The study tested three hypotheses at 0.05 significant level. The resultant data was analysed using Multivariate Analysis of Covariance (MANCOVA). The finding of the study indicated a significant effect of treatment on pupils’ achievement in Mathematics, F (1,250) = 83.349; P<0.05 and pupils’ interest in Mathematics F(1,250) = 65.022; P<005. The pupils taught with alternative team teaching had higher mean score (20.68) than those taught with conventional method (11.63). Also, the study revealed that the effect of pupils’ learning styles was not significant on pupils’ achievement in Mathematics. The study indicates that modified alternative team teaching is a proven method in engendering pupils’ performance in Mathematics for sustainable national development.
Keywords: Innovative Instructional Model, Primary Mathematics, Achievement, Interest
RIGHT TO STRIKE AND RIGHT TO FIRE; BALANCING OF CONFLICTING INTEREST UNDER NATIONAL AND INTERNATIONAL LAW
MOHAMMED IDRIS Esq
Department of Legal Studies, Federal Polytechnic, Mubi, Adamawa State
ABSTRACT
The conflict in industrial relation is almost inevitable because of the divergent interest and aspirations of the two parties in the relationship, which are the employer and employee. Oftentimes, this is necessitated by the demand for increase in wage or salary and welfare packages generally but it is important to also note that the terms of contract of employment can also act as a restricting factor, in that parties to contract of employment are bound by it particularly when it is in written form and this could give the employer the right to fire when this is breached, however where the required notices are jettisoned by the employer, then his action or power to fire could be null and void. This work seeks to address the right of workers to strike and employers’ right to fire and to also make recommendations as to how we can resolve the conflicting interest of the parties involved in this relationship. A critical examination of the relevant legislations in Nigeria shows that there are too many stringent conditions which have almost denied the worker his right to strike. This paper recommends that these conditions be relaxed, particularly those giving wide powers to the employer to terminate the employee for breach of contract or deny him his other statutory benefits and it is part of my recommendation that dialogue should be employed at all levels to resolve labour-related matters and strike should be seen as the last resort to press home their demand
Keywords: right to strike, right to fire, salary, employer, Nigeria
STRUCTURAL EFFECT OF EMPTY SET ON AN ALGEBRAIC STRUCTURE OF SEMIGROUP
IBRAHIM MAMMAN SAWUDI
Department of Mathematics Federal College of Education, Katsina
Abstract
In this paper we considered semigroup, we defined the semigroup analogous to the semigroup. Some algebraic properties of the semigroup were studied as the effect of empty set on semigroup structures. Some of the algebraic properties studied include; the structural effect of empty set on semigroup structures as action of empty set on a semigroup, the study shown that the left and right actions of empty set on semigroup structures were coincided, and the semigroup actions on empty set on a semigroup structure is generalization of partial and global actions of a semigroup actions on a non-empty set.
Keyword; semigroup with empty set, action of empty set on semigroup , left and right actions of empty set on a semigroup and generalization of a semigroup action.
NAVIGATING THE NEXUS OF BASIC SCIENCE AND TECHNOLOGY CURRICULUM FOR NIGERIA’S DEVELOPMENT IN THE 21ST CENTURY
*ENIOLORUNDA OLUBUKOLA; **OKPE YUNUSA YAKUBU Ph.D; & ***MATHEW, BOLAJI ALEDARE
*Department of Integrated Science, Kogi State College of Education (Technical) Kabba. **Department of Geography, Kogi State College of Education, Ankpa. ***Science Education Department, University of Ilorin, Ilorin
Abstract
In the 21st century, Nigeria faces the dual challenge of harnessing basic science and technology education to drive sustainable development. This paper explores the intricate relationship between basic science and technology curricula and their potential to address the nation’s socio-economic challenges. As Nigeria strives to position itself as a competitive player in the global economy, the integration of scientific literacy and technological proficiency into the educational framework becomes imperative. The study examines current curricular structures, identifying gaps that hinder the effective delivery of science and technology education. It highlights the need for a curriculum that not only emphasizes theoretical knowledge but also fosters practical skills and critical thinking. By analyzing successful models from other nations, the paper proposes a reformed curriculum that aligns with Nigeria’s developmental goals, emphasizing interdisciplinary approaches and real-world applications. Furthermore, the research underscores the importance of teacher training and resource allocation in implementing an effective science and technology curriculum. It advocates for partnerships between educational institutions, government, and the private sector to create a robust ecosystem that supports innovation and research. Ultimately, this paper argues that a well-navigated nexus between basic science and technology education is crucial for Nigeria’s development. By equipping the youth with the necessary skills and knowledge, Nigeria can leverage its human capital to foster economic growth, enhance public health, and address environmental challenges. The findings aim to inform policymakers, educators, and stakeholders about the transformative potential of an integrated science and technology curriculum in shaping a prosperous future for Nigeria.
EFFECTS OF PODCAST AUGMENTED LEARNING STRATEGIES ON PRE-SERVICE TEACHERS’ LEARNING OUTCOMES IN METALWORK IN NORTH-WESTERN NIGERIA
- ABDULRAHEEM, ISIYAKU
Department of Curriculum and Instruction, Kaduna State College of Education, Gidan Waya, PMB 1024 Kafanchan.
ABSTRACT
The study investigated the effect of podcast augmented learning strategies on pre-service teachers learning outcomes in metalwork . It focused on determining the effects of mobile podcast of Video, Audio and Text on academic achievement, retention, attitude toward mobile podcast as learning tools. In addition, the moderating effect of gender on achievement and retention was examined. Nine research questions and nine corresponding hypotheses were formulated and tested in the study. The study adopted a quasi-experimental design and the population of the study comprised 350 metalwork students subdivided into 224 male students and 126 female students in the six Federal and State Government owned Colleges of Education in the seven North-Western states. The sample was 144 males and 42 females NCE III Metalwork students making a grand total 186, in the Colleges of Education in North Western Zone. Two instruments constructed by the researcher used for data collection were: Metal work Achievement Test (MWAT), Questionnaire on Podcast as Learning Tool (PLT) and the reshuffled MWAT for Retention test. MWAT and PLT was pilot tested using test-retest and split-half method respectively. Reliability index of 0.75 was obtained. The study findings showed that there was significant difference in the academic achievement of pre-service teachers taught metal work using Vpodcast, Apodcast and Tpodcast in favour of the Apodcast. There was also a significant difference in the mean retention scores of pre-service teachers taught metal work using Vpodcast, Apodcast and Tpodcast in favour of Tpodcast among others. The study, therefore, concluded that video podcast is more effective in enhancing students’ academic achievement in metal work and development of positive attitude towards metal working.
Keyword: Podcast, achievement, retention, pre-service teachers and metalwork.
LEATHER PRODUCTS AS TOOL FOR ECONOMIC DIVERSIFICATION AND JOB CREATION IN NIGERIA
¹TUNDE EZEKIEL OLATUNJI, PhD; ²DAUDA ADAMU ABUBAKAR; ³GIMBA CHRISTOPHER; ⁴SIRAJO ALI; & ⁵JUNGUDO MARYAM MUHAMMED
¹-⁴Department of General Studies, Nigerian Institute of Leather and Science Technology, Zaria. ⁵Department of Footwear Technology, Nigerian Institute of Leather and Science Technology, Zaria.
Abstract
The leather goods industry holds significant potential for economic diversification and job creation in Nigeria. This paper explores the historical context, current state, and future prospects of the leather sector in Nigeria. Through content analysis of recent literature and empirical studies, it identifies challenges and opportunities within the industry, emphasizing the role of government policies, technological advancements, and skills development in enhancing the industry’s contribution to the economy. The findings suggest that leveraging the potential of the leather goods sector can significantly contribute to Nigeria’s economic resilience and sustainability.
Key words: Leather industry, economic diversification, job creation, government policies, technological advancement.
THE INVENTION O F NEW TECHNOLOGICAL EQUIPMENTS AND ITS EFFECTS ON LIBRARIANS JOB PERFORMANCE IN FEDERAL POLYTECHNIC MUB LIBRARY, ADAMAWA STATE
KEFAS GILBERT
Federal Polytechnic Bali, Library Department Taraba State
Abstract
This research was surveyed the invention of new technological equipment’s and its effects on librarian’s job performance in federal polytechnic Mubi Library, adamawa state. Three objective were raised to investigate the causes of new technological equipment in uses library resources in federal polytechnic Mubi library adamawa state by librarians, to examine the problem of using the new technological equipment in federal polytechnic Mubi adamawa state by librarians and to determine effects of the invention of new technological equipment and its effects on librarians in federal polytechnic Mubi library, adamawa state. Using a survey research design and random sampling method, with a well-structured questionnaire, data were collected from 30 librarians comprising of all librarians in federal polytechnic mubi library which constituted sample for the research. The research discovered that. this research discovers that majority of the librarian’s states that no they don’t know how to operate the new technological equipment’s in the library, majority among the librarians mentioned that yes they have problem of internet connectivity in the library and it also reveals more than have of the librarian says yes with the new technological equipment will lead to laying off librarians in the library. It was recommended that The library authority (management) should try and connect the library with internet connectivity or separate network services to enhance the librarians job performance in the library, the library management should not be laying off the librarians rather they should send them for training and retraining so that they will equip themselves with new technological equipment in the library and the management of the polytechnic library should try not allow librarians to be frustrated because of this new technological equipment’s in the library.
AN OVERVIEW OF TAX ADMINISTRATION IN NIGERIA: CHALLENGES AND SOLUTIONS
1DORIS USIOMOIFOH EHIAGWINA, 2IBRAHIM GARBA, 3NICHOLAS BOLA AUDU, 4MOHAMMED OLAYEMI IJAIYA
1,2,3,4Department of Accounting, Federal Polytechnic Offa, Kwara State, Nigeria 1Department of Taxation, Federal Polytechnic Offa, Kwara State, Nigeria
Abstract
This seminar report examined the challenges inherent in the Nigerian tax administration. An exploratory research approach of was adopted in this study. The Nigerian tax system is designed as a means of income generation. The multiplicity of taxes and recent legal issues emerging in the country were examined. Solutions for tackling some of the identified challenges were highlighted. In addition, various changes that have taken place in the Nigerian tax administration over time were reviewed.
Keywords: Tax administration, multiple taxes, tax reforms, tax system
HUMAN RESOURCE MANAGEMENT SOFTWARE MODEL FOR GOMBE STATE CIVIL SERVICE COMMISSION
SANUSI MUHAMMED ALIYU
Department of General Studies, Gombe State College Of Health Sciences and Technology Kaltungo, P.M.B 042, Gombe State, Nigeria.
ABSTRACT
Human resource management is becoming more pervasive as human resources are the backbone of any organisations; profit and non-profit oriented. Human resource management is very crucial and delicate in achieving an organisation’s corporate goals. The use of computer and information technology to improve efficiency and simplify human resource management is not out of place in the modern trends of globalisation. This research work obtained its new business requirements for the new system via the use of the first three phases of business process reengineering. Microsoft Visio was used to design process models (as-is and to-be process models), data flow diagrams (DFDs) and class diagrams to show how information flows in the application, how users interact with it and to ease programming (coding) of the application for programmers. The new system (model) was developed using MySQL for database design, Java standard edition was used as programming language, Google Web Toolkit was used as the IDE and Glassfish: Java Enterprise Edition was used for enabling web capability of the application. This research addressed the key activities of civil service human resource such as; staff verification, advance report generation, seniority list generation and leave management. The research make recommendations that; the model (application) can be implemented as a functional system to be used by Gombe State Civil Service Commission, further research on the same topic can be conducted to adds more functionalities like payroll and to come-up with a miniature technology that can improve ease of use and usefulness.