Ce mémoire de licence a examiné l'influence de la culture occidentale sur la culture africaine à travers le roman L'Autre Moitié du Soleil de Chimamanda Ngozi Adichie. L'étude s'est appuyée sur une approche sociocritique et postcoloniale pour analyser les dynamiques d'acculturation et les conflits identitaires mis en scène dans l'œuvre, qui relate la guerre du Biafra (1967-1970) au Nigeria.

L'objectif de cette recherche était d'identifier et d'analyser les manifestations de l'influence occidentale sur les modes de vie, les valeurs et les comportements des personnages du roman, tout en mettant en évidence les tensions entre modernité importée et traditions africaines. Pour ce faire, nous avons procédé à une analyse textuelle approfondie des extraits pertinents du roman, en les confrontant aux concepts clés tels que l'acculturation, l'hybridité culturelle, le choc des cultures et le néocolonialisme, tels que définis par des théoriciens comme Essé Amouzou, Léopold Sédar Senghor et Claude Lévi-Strauss.

Les résultats de notre analyse ont révélé que l'influence occidentale dans le roman se manifeste à plusieurs niveaux : à travers l'éducation, la langue, les habitudes de vie et les aspirations des personnages. Nous avons constaté que cette influence est ambivalente. D'une part, elle a favorisé l'émancipation de la femme africaine, incarnée par les personnages d'Olanna et Kainene, et a introduit des avancées technologiques et éducatives. D'autre part, elle a engendré un profond conflit identitaire, comme en témoigne le personnage d'Odenigbo, qui, bien qu'intellectuel moderne, se trouve en décalage avec ses propres racines culturelles igbo. L'étude a également démontré que cette acculturation a conduit à une érosion progressive des valeurs traditionnelles, menaçant ainsi l'identité culturelle africaine.

En conclusion, ce travail a permis de constater que si la modernité occidentale a apporté des éléments positifs à la société africaine, elle a également contribué à une perte d'authenticité et à une aliénation culturelle. L'étude a souligné l'importance de préserver et de valoriser les richesses des cultures africaines face à une mondialisation parfois uniformisante.

Phishing attacks, which use phoney emails and misleading websites to target people and organisations, have emerged as one of the most common cybersecurity threats. These attacks cause serious security breaches by tricking users into divulging private information, including login credentials and financial information. This project offers a machine learning-based phishing detection tool for emails and web browsers that uses logistic regression to efficiently detect and stop phishing threats. To improve the accuracy of phishing detection, the study investigates different feature extraction methods, dataset preprocessing, and model training approaches. Python was used to develop the system, and the Scikit-learn library was used to implement the model. Both authentic and phishing URLs and emails made up the dataset, which was preprocessed using techniques like feature scaling and outlier removal. Key performance metrics, such as accuracy, precision, recall, F1-score, and a confusion matrix, were used to train and assess the model. The outcomes showed that the suggested model was successful in differentiating between phishing and authentic entities, as evidenced by its high classification accuracy. Notwithstanding its encouraging results, the system has certain drawbacks, including the difficulty of balancing false positives and false negatives and vulnerability to new phishing tactics. To further enhance detection capabilities, future studies could use ensemble approaches or sophisticated deep learning models. By offering users and organisations a reliable and effective detection mechanism, this project supports the continuous efforts to strengthen cybersecurity defences against phishing attacks.

Diabetes is a common endocrine and metabolic disorder characterized by hyperglycemia or elevated blood sugar proven to be a major health problem. This study was aimed at evaluating in vitro inhibitory activities of methanol, n-hexane, dichloromethane, and aqueous extracts of Canavalia ensiformis seed on alpha amylase and alpha glucosidase at varying concentrations. Extraction of methanol, n-hexane, dichloromethane and aqueous extracts of Canavalia ensiformis seed was carried out in this study. Phytochemical screening of the extracts of Canavalia ensiformis seed was carried out using standard methods. Dichloromethane and n- hexane extracts of Canavalia ensiformis seed were used for GC-MS analysis. Five different concentrations (20, 40, 60, 80, 100µg/ml) of each extract were used in this experiment. The standard drug acarbose was prepared using the same concentration range. The alpha amylase inhibition assay showed that the methanol with IC50 value of 13.03 µg/mL was the most potent in inhibiting alpha amylase while for the alpha glucosidase inhibition assay it was the aqueous extract with IC50 value of 43.78 µg/mL when compared to the other extracts. The Phytochemical screening results of methanol, n-hexane, dichloromethane and aqueous extracts of C. ensiformis seed revealed the presence of starch, glycosides, terpenoids, saponins, alkaloids, and phenols. GC-MS analysis of dichloromethane extract showed the presence of anti-diabetic compounds such as n-Hexadecanoic acid, 3-Eicosene and p-xylene. The results obtained in this study indicate that the extract of the C. ensiformis possesses alpha amylase and alpha glucosidase inhibitory activities, thus supporting the traditional use of C. ensiformis seed extract by traditional healers for management of type II diabetes. In addition, the alpha amylase and alpha glucosidase activities of C. ensiformis seed extracts observed in this study, may be one of the mechanisms of action of the seed in reducing elevated blood glucose levels as observed in diabetes mellitus.

This project examined the role of Artificial Intelligence (AI) in shaping religious programmes in Living Faith Church Worldwide and the ethical concerns connected with its use in church activities. The study aimed to examine how AI is being used in religious programs in Winners’ Chapel, its effects on church activities, and the ethical issues associated with its application. The thesis adopted a qualitative research method. Data were collected through document analysis, observation of modern technological practices, and the use of published interviews and academic materials related to AI in religion. Relevant books, journal articles, church publications, online materials, and previous studies were also reviewed to provide a broad understanding of the subject. Thematic analysis was used to examine the information collected and to identify important patterns and themes related to AI in church programs. Findings from the research revealed that AI is gradually becoming part of modern religious practice in Winners’ Chapel through television evangelism, radio broadcasting, online streaming, mobile applications, social media communication, and administrative management. The researcher found that AI improves communication, sermon preparation, translation, media production, teaching, and church administration. It also showed that AI can support children’s ministry, adult Bible studies, and global outreach programs such as Shiloh. However, the thesis further revealed major ethical concerns, including privacy and data protection, algorithmic bias, overdependence on technology, reduction of human interaction, questions about spiritual authenticity, and the possibility of replacing important human roles in ministry.

Ineffective waste management in rapidly urbanizing cities has intensified environmental and public health challenges, particularly in Nigeria, where traditional collection methods remain inefficient and costly. The emergence of smart waste bin technologies offers a sustainable alternative by integrating Internet of Things (IoT) components for real-time monitoring, automated waste handling, and optimized collection processes. This study addresses the limitations of existing systems—such as lack of automation, poor material sustainability, and insufficient adaptability to environmental conditions—by developing a smart waste bin prototype that enhances efficiency, reduces health risks, and supports global sustainability goals through innovation in sensor integration, automation, and eco-friendly design. This study encompasses the design and development of a smart waste bin system integrating sensors, automation, and wireless communication technologies. The prototype includes real-time monitoring, SMS notifications, and automated features such as waste compaction and lid control to enhance hygiene and usability. Emphasis is also placed on the use of sustainable construction materials and the system’s adaptability to various environmental conditions. Rigorous hardware and software testing ensures reliable sensor performance, effective automation, and accurate communication. These evaluations validate the system’s functionality in real-world scenarios, reinforcing its potential as a scalable and sustainable solution for modern waste management challenges. The developed smart waste bin system demonstrated successful integration of real-time monitoring, automation, and wireless communication technologies. Testing confirmed the reliability of its components—ultrasonic and load sensors, linear actuators, and GSM/GPS modules—under realistic operating conditions. The system effectively detected fill levels, triggered automated compaction, and sent timely alerts, thereby reducing overflow incidents and improving waste collection efficiency. These results suggest the system’s potential to address key urban waste management challenges, offering a scalable and sustainable solution adaptable to residential, commercial, and municipal applications

This study focused on the optimization of organic fertilizer production from Chromolaena odorata (Siam weed) with the aim of determining the most suitable drying conditions for nutrient preservation and evaluating its effects on soil fertility and maize (Zea mays) growth performance. Fresh C. odorata leaves were collected, air-dried, and oven-dried under varying temperature (30–85 °C) and time (30–120 min) conditions. The effects of these parameters on nutrient composition (particularly nitrogen (N), phosphorus (P), and potassium (K)) were analyzed using Response Surface Methodology (RSM) based on a Central Composite Design (CCD). The optimized fertilizer product was applied to soil samples to assess changes in nutrient levels before and after maize cultivation. Results revealed that both drying temperature and time significantly influenced the nutrient composition of C. odorata. Nitrogen and phosphorus contents decreased with increasing temperature, whereas potassium concentration increased due to moisture reduction and mineral concentration effects. The optimal drying condition was found to be approximately 55 °C for 90 minutes, which preserved the highest levels of essential nutrients. Post-sowing soil analysis indicated improved macronutrient and micronutrient concentrations following the application of the optimized organic fertilizer. Maize plants grown in treated soil exhibited superior vegetative growth compared to the control, with notable increases in plant height, stem diameter, and dry biomass yield. The findings demonstrate that Chromolaena odorata can serve as an effective and sustainable source of organic fertilizer. Its utilization not only enhances soil fertility and crop productivity but also provides an environmentally friendly means of managing this invasive weed species.

Lithium-ion batteries have completely changed our world, powering everything from the smartphones in our pockets to electric cars and solar power grids. However, these batteries have a major flaw: they are highly sensitive and can easily get damaged, fail early, or even catch fire if they get too hot, overcharge, or drain too deeply. Traditional battery systems usually react only after a problem has already happened, which is not safe enough for modern technology. The main goal of this project was to design and test a Smart Management System (SMS) that acts as an intelligent brain for lithium-ion battery packs, actively keeping them safe, helping them last longer, and making them work more efficiently. To achieve this, the project used MATLAB and Simulink software to build a detailed, realistic model of a lithium-ion battery pack. Inside this virtual setup, special control logic was built to constantly track individual battery cell voltages, current, and the overall State of Charge (how much energy is left) in real time. Safety boundaries were explicitly programmed into the system to flag an error the moment voltage crossed unsafe limits—specifically setting an upper overvoltage limit of 16.6 V and a lower under-voltage limit of 11.2 V. The simulation was run under different lifelike work situations and heavy loads to see how well the smart system would respond to sudden changes. The results clearly showed that the system works exactly as planned. The moment an unsafe voltage limit was crossed, the smart system reacted immediately, flagging the error and stabilizing the voltage safely within its target boundaries to prevent any damage to the battery cells. The system also smoothly tracked the steady drop in the battery's energy capacity as it discharged over time. Ultimately, this project proves that using an intelligent, software-based management system is a highly reliable and affordable way to protect modern energy systems before moving on to building expensive physical hardware.

This project focuses on the development of a 5kVA, 48V hybrid solar inverter system aimed at providing a reliable and sustainable energy solution for domestic and small-scale applications. The system integrates solar photovoltaic (PV) energy with utility grid supply to ensure an uninterrupted power source, with solar energy serving as the primary supply and the grid as backup. A hybrid charging approach was adopted to maintain adequate battery capacity during periods of low solar irradiation. The inverter was designed to deliver a stable output suitable for powering common household and office appliances, while incorporating essential protection features to enhance system safety, efficiency, and reliability. Performance evaluation showed that the inverter provided consistent output with smooth changeover between power sources and improved energy efficiency. The project demonstrates a cost-effective and environmentally friendly alternative to fuel-powered backup systems, reducing, dependence on the national grid and promoting cleaner energy usage.

This research provides an in-depth analysis of workplace discrimination against persons with disabilities (PWDs) in Nigeria, assessing the adequacy of the legal, institutional, and policy measures designed to protect their rights and foster inclusion. The study evaluates the extent to which Nigeria fulfils its obligations under the UN Convention on the Rights of Persons with Disabilities (CRPD) and the International Labour Organization (ILO) Convention No. 159. Using a doctrinal and comparative legal approach, it examines statutory provisions, case law, and the functions of enforcement institutions, notably the National Commission for Persons with Disabilities (NCPWD), the National Human Rights Commission (NHRC), Nigeria Social Insurance Trust Fund and the National Industrial Court of Nigeria (NICN). The findings indicate that although Nigeria’s legislative framework is progressive, implementation is undermined by weak institutional capacity, inadequate funding, low awareness, and enduring societal prejudice. Judicial responses, while occasionally advancing disability rights, face obstacles such as prolonged litigation, high legal costs, and limited judicial expertise. Persistent issues include discriminatory hiring, inadequate infrastructure accessibility, non-compliance with the statutory 5% public sector employment quota, and unclear reasonable accommodation guidelines. The study identifies legal ambiguities, enforcement weaknesses, and policy gaps, recommending reforms such as strengthening institutional mandates, creating sector-specific compliance frameworks, expanding public education on disability rights, and improving access to affordable legal remedies. The research concludes that realising workplace equality for PWDs in Nigeria requires more than legal provisions, it demands effective enforcement, structural reforms, and a cultural shift towards genuine inclusion, recognising disability rights as both a human rights priority and a driver of national development.

This study examined the influence of single parenting on delinquent behaviour among public senior secondary school students in Egor Local Government Area of Edo State. The study investigated how factors such as parental supervision, emotional support, absence of parental figures, and economic difficulties within single parent households contribute to students’ involvement in delinquent acts. Five research questions guided the study and five corresponding hypotheses were formulated and tested at 0.05 level of significance. The survey research design was used, and the population consisted of senior secondary school students in Egor Local Government Area. A sample of one hundred and twenty five students was selected through simple random sampling from five public secondary schools. A structured questionnaire served as the research instrument. The instrument was validated by experts, and the reliability was established through the test retest method, yielding a coefficient of 0.77. Data were analysed using descriptive statistics such as mean and standard deviation, while hypotheses were tested using the t test and Pearson correlation. The findings revealed that single parenting significantly influences delinquent behaviour among senior secondary school students. The study showed that inadequate supervision, low emotional support, absence of a mother or father figure, and financial challenges common in single parent households contribute to behaviours such as truancy, aggression, dishonesty, and peer influenced deviance. The results also showed that students from single parent homes exhibited higher levels of delinquent behaviour compared to those from two parent families. All hypotheses tested were rejected, indicating significant relationships between the components of single parenting and delinquent behaviour. The study concluded that family structure and the quality of parental involvement play important roles in shaping adolescent behaviour. It recommended enhanced parental supervision, emotional support, financial assistance for single parent families, school based mentorship, and community intervention programmes aimed at reducing delinquent tendencies among adolescents.