Nile University of Nigeria

Groundwater–Stream Connectivity Under Climate Change: Implications for the Ecology, Conservation and Sustainability of Urban Streams

Freshwater systems, including urban streams and groundwater, are increasingly affected by climate change through altered precipitation, rising temperatures, droughts, floods, and changing water demand. This narrative review synthesizes evidence on how these pressures modify groun...

Molecular Docking, Drug-Likeness, and Toxicity Profiling of Taraxacum Officinale-derived Phytochemicals Against Estrogen Receptor Alpha (ERα) in Breast Cancer

Public interest in the anticancer potential of dandelion ( Taraxacum officinale ) root has grown following reports that its extract can induce cell death in cancer cell lines, but whether individual T. officinale phytochemicals directly engage estrogen receptor alpha (ERα), the p...

Assessment of the Practice of Disease Surveillance and Notification in Ebonyi State, Nigeria

Abstract Background: Disease surveillance and notification (DSN) is a core component of the Health Management Information System and is critical for early detection and control of epidemic-prone diseases. The effectiveness of DSN depends largely on the awareness, knowledge, and p...

Insider-resilient database architecture for Nigerian healthcare cybersecurity using SHA-256 and Argon-2id-based two-tier approach

Abstract Cyberthreats threatening data integrity, availability, and patient safety of national healthcare critical infrastructure in resource-limited domains are a growing concern. This research paper proposes a secure two-tier database architecture to achieve higher resilience a...

Hierarchical Information Leakage in Machine-Learning Classification of Marine Microbial Enzymes for Microplastic Research

This record contains the curated dataset, executable analysis code, and complete computational outputs supporting the study “Auditing Hierarchical Information Leakage in Marine Microbial Enzyme Classification for Microplastic Research.” The study evaluates classification of the r...

GENDER DIVERSITY AND FINANCIAL REPORTING QUALITY OF LISTED NON- FINANCIAL FIRMS IN NIGERIA: THE MODERATING ROLE OF DIGITAL GOVERNANCE

Abstract This study examines the effect of gender diversity on financial reporting quality of listed non-financial firms in Nigeria, and the moderating role of digital governance. Specifically, it tests the influence of female directors’ educational qualifications and IT expertis...

GENDER DIVERSITY AND FINANCIAL REPORTING QUALITY OF LISTED NON- FINANCIAL FIRMS IN NIGERIA: THE MODERATING ROLE OF DIGITAL GOVERNANCE

Abstract This study examines the effect of gender diversity on financial reporting quality of listed non-financial firms in Nigeria, and the moderating role of digital governance. Specifically, it tests the influence of female directors’ educational qualifications and IT expertis...

Comparative Analysis of Machine Learning Techniques for Intrusion Detection In Nigerian IoT Networks: A Systematic Literature Review

A large part of the increase in cyber threats to the network of Nigeria is the introduction of IoT devices in the areas of healthcare, smart homes, transportation, surveillance, banking, and business. These cyber threats include the likes of DDoS, malware injection, spoofing, una...

Renewable energy transition, financial development, and financial inclusion effects on environmental sustainability in developing economies

Abstract The transition to low-carbon development remains a central challenge for developing economies, particularly in the context of uneven financial access and ongoing structural transformation. This study examines the dynamic and heterogeneous relationships between renewable...

THIN CAPITALISATION AND FINANCIAL PERFORMANCE OF LISTED MULTINATIONAL FIRMS IN NIGERIA

Abstract Taxation constitutes a significant cost that influences corporate financial performance and wealth maximization objectives. In response, multinational firms often engage in tax planning strategies such as thin capitalization to reduce tax burdens. This study examines the...

Using Machine Learning to Predict Ceasefire Violations in the Israel – Palestinian Conflict: A Data-Driven Approach

The study examines machine learning to predict ceasefire violations in the Israel – Palestinian conflict: A data-driven approach. The study used secondary sources of data. Complexity Theory was used to guide the study. The empirical studies revealed that datadriven approaches, co...

Using Machine Learning to Predict Ceasefire Violations in the Israel – Palestinian Conflict: A Data-Driven Approach

The study examines machine learning to predict ceasefire violations in the Israel – Palestinian conflict: A data-driven approach. The study used secondary sources of data. Complexity Theory was used to guide the study. The empirical studies revealed that datadriven approaches, co...

Content Monetization Dynamics Among TikTok Influencers in Nigeria: Strategies, Challenges, and Adaptive Market Practices

Over the last few years, TikTok has become one of the most notable social networking apps, allowing users to upload videos with the possibility of gaining popularity. This has given rise to the emergence of influencers native to the platform. While Global North–focused TikTok stu...