Hybrid Defense against Pollution Attacks in P2P Live Video Streaming

Pollution attacks present a serious risk to the integrity and reliability of peer-to-peer (P2P) live video streaming networks, negatively impacting video quality and user experience. This paper introduces a combined security strategy that merges blacklisting and traffic encryption techniques to counter these attacks. We assessed the effectiveness of Blacklisting, Traffic Encryption, and Hybrid methods using the OMNeT++ simulation environment across networks ranging from 1,000 to 5,000 nodes. The findings revealed that the Hybrid method consistently surpassed the others, achieving a detection rate of 90% and a pollution rate of 9% at 5,000 nodes, compared to 72%/20% for Blacklisting and 65%/23% for Traffic Encryption. This research work shows that the hybrid approach provides a more robust, scalable, and effective means of protecting P2P video streaming from pollution attacks &nbsp

Mathematical Modeling of Prostate Cancer in Uganda Using the Atangana-Baleanu Caputo Derivative

This paper introduces a mathematical model to better understand how prostate cancer progresses in a population, using the Atangana-Baleanu Caputo fractional derivative. The model divides the population into different groups: susceptible individuals, those exposed to cancer-causing factors, individuals at various stages of infection, and those who have recovered. The exposed and infected groups represent the different stages of cancer, while the recovered group accounts for people who have overcome the disease through treatment or natural remission. By using fractional derivatives, the model captures the idea that cancer progression is influenced by past events, making it a more accurate reflection of how the disease unfolds over time. The paper develops a set of equations to describe how people move between these groups, considering factors like exposure, cancer progression, and recovery. Simulations show how the disease spreads and how various treatment strategies can influence the outcome. This model offers a valuable tool for better understanding prostate cancer dynamics and can help guide

Modeling the Dynamics of Corruption in Police and Judiciary Systems Using Fractional Order Differential Equations and the Laplace-Adomian Transform Method

This study develops a model to better understand how corruption spreads within Police and the judiciary, using fractional-order differential equations and the Laplace-Adomian transform method to capture the complex, non-linear nature of corruption. Corruption in these sectors weakens the rule of law, erodes public trust, and stifles socio-economic growth, yet many existing models oversimplify its causes. By considering the memory-dependent nature and delayed effects of interventions, this research offers a more accurate representation of how corruption evolves over time. The findings highlight the importance of early intervention, sustained accountability, and systemic reforms, showing that while short-term policy changes can help, lasting success requires deeper institutional change. External factors like international oversight or whistleblowing can also play a crucial role, though their effectiveness depends on trust in local institutions. This approach provides a more detailed framework for designing targeted anti-corruption strategies within police and judicial systems, offering valuable insights for policymakers and reformers

Mathematical Modeling of the Transmission Dynamics of Pediculosis Capitis

This study presents a modified mathematical model to analyze the transmission dynamics of pediculosis capitis (head lice). By employing stability analysis on a modified model, we demonstrated that, when the basic reproduction number (R₀ < 1) is maintained below the critical threshold of one, complete eradication of head lice from a host population is achievable. Simulations based on our analytical results predict that this elimination can occur within a 30-day timeframe, providing a clear target for effective public health interventions

Assessment of Attitude of Artisanal Fish Farmers Towards the Utilization of Hatchery Production Technologies in Ondo State, Nigeria

The study assessed the attitude of artisanal fish farmers towards hatchery production technologies in Ondo State, Nigeria. A structured questionnaire was used to collect data from 90 respondents, selected through a multi-stage sampling procedure. Data analysis involved frequency counts, percentages, and correlation analysis. Findings revealed that 71.1% of respondents were male, while 51.1% were under 40 years old, with a mean age of 43 years. Most farmers (81.2%) had 1–5 years of experience, with an average of five years. The study found that the utilization of hatchery production technologies was relatively high, possibly due to high educational attainment among farmers. Correlation analysis indicated significant relationships between technology utilization and socio-economic factors such as age (P=0.000), sex (P=0.002), marital status (P=0.023), religion (P=0.001), years of experience (P=0.000), income (P=0.000), and farm size (P=0.000). These factors significantly influenced technology adoption. The study concluded that respondents had a favorable attitude toward hatchery technologies. It recommended reintroducing and popularizing underutilized technologies among fish farmers. Regular training and empowerment programs should be implemented to enhance adoption rates. Additionally, environmental pollution in the study area should be effectively managed to improve hatchery productivity and sustainability

Geology and Mineralogy of Batola and its Environs, Southwestern Nigeria

The Basement complex and Sedimentary Basin Makes up the Geology of southwest Nigeria. This research work is intended to comprehend the geology and mineralogy of Batola, Ago, Ladele, Koroyi and Aregbe which falls within the Ikomu sheet in Southwest Nigeria. A highly detailed topographical map and a GPS gadget were used for navigation during the Field Mapping process. Fresh samples that were representative of each outcrop were taken in all locations throughout the Field Mapping process. The slides were then examined under a microscope in an effort to confirm the provisional names for the rocks in the field. This allowed for the determination of the lithology of the rocks in the research region as well as the petrography of these outcrops in both plane and cross polarised light. The lithology in the study area was identified by the Field and Petrographic results as Granite (Porphyritic and Coarse Grained), Granite-gneiss and Pegmatite. Additionally, Pegmatitic intrusions and dykes were also seen. Further minerals found during the Petrographic analysis of the rock units included Mica, Biotite, Plagioclase Feldspar, Microcline, Quartz and a few tiny opaque minerals.The geology and mineralogy suggested that the study area is heterogeneous in nature, with lithologies varying from igneous to metamorphic rocks with structural imprints that can be characterized to the Pan-African orogeny. This study provided additional support of previous researches carried out on the Geology of Southwestern rocks

Implications of Students’ Access to Computer and Academic Performance in Selected Public Secondary Schools in Tarauni and Kano Municipal Local Government Areas, Kano State, Nigeria

Relevance of computer based education cannot be overemphasized in the 21st century. The use of computers in education impacts academic performance of students. In Nigeria, the use of computers especially in secondary schools is on the rise. A focus on North-western Nigeria, a region considered as educationally disadvantaged compared to other regions of the country, is vital to the nation. Although there is an affirmative national policy on the integration of Information and Communication Technology (ICT) in the secondary school curriculum, implementation of the policy at the level of school management is called to question. This research investigated the implications of student’s access to computer and academic performance in some selected public secondary schools in Kano State, Northwest Nigeria. The research adopted a survey design that used randomly selected but purposive sample of students from four schools in Kano metropolis with a view to investigating the level of availability of computers and the impact of the outcome on students’ performance. Results showed that some schools suffer non-existence of computers, most schools exhibit low level of computer availability but with students who indicate the capacity of to use computers. Results also indicated that students still suffer restricted access to computer at school, with the students having more access mostly from homes and cyber cafes. This has serious implications as most of the students fear that they cannot handle a computer based test (CBT). Provision of more computers by the school and a non-restricting computer access to students should be promoted

Investigating the Effects of Coronavirus Pandemic on Selected Nigerian Macroeconomic Indicators: An Application of VECM

This research empirically assessed the impacts of CoV-19 on Nigeria's foreign reserves (FR), exchange rate (EXR), and crude oil price (COP) using 593 daily datasets from January 2, 2020 to May 11, 2022. The number of confirmed CoV-19 cases was sourced from World Health Organization, the EXR, FR, and the COP were obtained from Central Bank of Nigeria (CBN). Johansen cointegration test was used and Vector Error Correction Model (VECM) adopted in the research. The variance decomposition result reveals that the CoV-19 exhibits a strong endogeneity in both the short and long run but weakly predicts the economic variables. The estimates of the variables speed of adjustments shows that CoV-19, COP, EXR and FR are significant at lag one. The error correction term, shows an adjustment rate of -0.0658 for the target variable CoV-19. The Granger/Wald causality test shows that there is no short run causality from CoV-19 to COP, EXR, and FR. The long run causal relationship indicates CoV-19, COP, EXR, and FR have long run relationship among the variables. Long run casual outcome indicates that crude oil price and foreign reserve are negative and significant at 5% level due to infected CoV-19 cases. While 5% increase in infected cases of CoV-19 pandemic will lead to 0.001897 increase in exchange rate in the future

Assessment of Fish Parasites and their Predisposing Factors in Two Fresh Water Bodies in Ogbia, Bayelsa State, Nigeria.

Fish is a substantive element for the existence of man. It constitutes a significant ingredient of human meal particularly for its protein content. However, parasitic infections on fish post threat to fish life   and potential consumers globally.  This investigation seeks to examine fish parasites from two fresh water bodies, Kolo creek and Ekoli River and determine visible factors increasing fish vulnerability to the threating parasites and infections. A total of 112 fish samples were evaluated using the normal saline and preparation of blood smear respectively. The parasites were identified using the pocket naturalist guide. Parasite infestation load reported was 51.0 % with the Kolo creek have 28.6 % and 22.4% observed in Ekoli River respectively. The most prevalent parasite noticed was Ichthyophirus and Ichthyobodo species having actual incident of 18.0% each. However, the most vulnerable fish was Claris auguillaris (36.8 %). The study established that fish vulnerability is related to its food chain affiliation with bottom dweller having increasing risk. The study further suggests that human unhealth attitude toward the fresh water ecosystem can intensify parasitic load on fish. However, individuals with habit of consuming inadequately prepared fish food are at risk of fish to man infections

Assessing the Influence of Urban Development Projects on Air Quality Through Carbon Dioxide Monitoring in Kaduna Metropolis

Urban development projects are essential for economic growth and infrastructural development; however, they can significantly impact air quality. This study examines the influence of urban renewal on air quality in Kaduna Metropolis from 2002 to 2024, focusing on pre-renewal (before 2019) and post-renewal (2019–2024) air quality conditions. CO₂ concentration data from the Copernicus Atmosphere Monitoring Service (CAMS), a satellite-based atmospheric monitoring system, was utilized. The dataset, obtained in NetCDF format, was processed using Python libraries (xarray and netCDF4) for data extraction and cleaning. Statistical models were applied to assess long-term trends and seasonal variations in CO₂ emissions. Findings indicate a persistent accumulation of CO₂ in lower atmospheric layers likely due to urbanization, vehicular emissions, and industrial activities. Before urban renewal (2002–2018), CO₂ levels exhibited an increasing trend with seasonal fluctuations. During the urban renewal period (2019–2023), air quality showed moderate improvements due to emission reduction measures. However, post-renewal (2024) data reveal that while air quality has improved compared to earlier years, CO₂ levels remain high, emphasizing the need for sustained mitigation efforts. The study concludes that urban renewal projects exacerbated air pollution by increasing CO₂ emissions, it recommends integrating green urban planning strategies, such as afforestation, improved public transportation, and stringent industrial emission controls, to mitigate environmental impacts