SYSTEM AND OFFICER QUALITY AS DETERMINANTS OF CITIZENS’ PERCEIVED USEFULNESS AND EASE OF USE OF E-VOTER REGISTRATION SYSTEMS IN NIGERIA

Title: SYSTEM AND OFFICER QUALITY AS DETERMINANTS OF CITIZENS’ PERCEIVED USEFULNESS AND EASE OF USE OF E-VOTER REGISTRATION SYSTEMS IN NIGERIA Authors: Aishatu Shuaibu, Etimi Joshua Garba and Hilary Watsila Abstract: The digitization of voter registration is increasingly adopted as a strategy to improve transparency, reduce fraud, and enhance electoral participation. In Nigeria, the Independent National Electoral … Read more

A ROLE OF MANAGING CHANGE IN THE RUNNING OF SCHOOLS IN LESOTHO

Title: A ROLE OF MANAGING CHANGE IN THE RUNNING OF SCHOOLS IN LESOTHO Authors: Isaiah M. Makhetha Abstract: This paper adopted a mixed-methods research approach consisting of qualitative and quantitative research representations. The aim of this study was to establish change management models adopted by the principals in the management of the school sector in Lesotho. The … Read more

A SIMULATION-DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR PIPELINE AND WELL INFRASTRUCTURE USING SYNTHETIC SENSOR TIME-SERIES DATA AND AUTONOMOUS MAINTENANCE AGENTS

Title: A SIMULATION-DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR PIPELINE AND WELL INFRASTRUCTURE USING SYNTHETIC SENSOR TIME-SERIES DATA AND AUTONOMOUS MAINTENANCE AGENTS Authors: Dr. Srinivasa Rao Kosiganti, Karthikeya Jaghni and Sreehitha Kosiganti Abstract: Predictive maintenance has emerged as a promising approach for improving the reliability and safety of pipeline and well infrastructure through continuous monitoring and data-driven decision-making. However, … Read more

TINY-DATA FEW-SHOT METHODS FOR RARER DISEASE GENOMICS

Title: TINY-DATA FEW-SHOT METHODS FOR RARER DISEASE GENOMICS Authors: Dr. Srinivasa Rao Kosiganti, Karthikeya Jaghni and Sreehitha Kosiganti Abstract: This research introduces a framework for applying few-shot learning techniques to rare disease genomics, where data is inherently scarce, fragmented, and privacy-sensitive. The approach combines self-supervised genomic and proteomic models for transferable feature representations, meta-learning classifiers that adapt … Read more

THE RISE OF AI-DRIVEN CYBER ATTACKS AND THE NEED FOR AI-POWERED DEFENSE

Title: THE RISE OF AI-DRIVEN CYBER ATTACKS AND THE NEED FOR AI-POWERED DEFENSE Authors: Yashasvi Sharma Abstract: The advancement of artificial intelligence (AI) enables cybercriminals to execute complex automated cyberattacks that evade detection. AI-powered threats easily bypass traditional security systems which rely on rule-based detection and signature-based defenses. The integration of machine learning (ML) technology with deep-fake … Read more

FLOOR STONE TILE OF THE TERMINAL PLEISTOCENE DEPOSIT IN THE KEBELLA-LENA ROCKSHELTER OF SRI LANKA

Title: FLOOR STONE TILE OF THE TERMINAL PLEISTOCENE DEPOSIT IN THE KEBELLA-LENA ROCKSHELTER OF SRI LANKA Authors: Pahiyangala Sumangala Abstract: Archaeological investigations at the Kebella-lena rockshelter in Sri Lanka have revealed a significant floor stone tile associated with a Terminal Pleistocene depositional context. This feature represents an important example of intentional spatial organization within a prehistoric habitation … Read more

CUCUMBER ECONOMICS IN NIGERIA: PROFIT, RISK AND DRIVERS

Title: CUCUMBER ECONOMICS IN NIGERIA: PROFIT, RISK AND DRIVERS Authors: NWADIOLU, R., EWODODHE, A. C. A., KPEYEGBEYI, J.I. and DOUBRA, B. Abstract: This study performed assessment on the profitability of cucumber production on farm-level in Ughelli North LGA, Delta State, Nigeria. Cost-returns, household survey and regression analysis were done through the survey. Average farm seasonal output was … Read more