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Research Paper

Impact of Socioeconomic Challenges on the Academic Performance of Students in Selected Colleges of Education in Borno State, Nigeria

ABSTRACT Academic performance in higher education is influenced by socioeconomic conditions. This study examined the impact of socioeconomic challenges on the academic performance of students in selected Colleges of Education in Borno State, Nigeria. A descriptive survey design was adopted. From a population of 5,800 students, 300 respondents were selected using simple random sampling. Data were collected with the Socioeconomic Challenges and Academic Performance Questionnaire (SCAPQ) and analysed using descriptive statistics, the Independent Samples t-test, and Simple Linear Regression at the 0.05 level of significance. Findings showed that respondents experienced socioeconomic challenges and perceived them as influencing academic performance, although statistical analyses indicated that socioeconomic challenges were not significant predictors of academic performance. The study recommends strengthening scholarships, welfare services, and learning resources.

Published by: Muhammad Ali Wakawa, Hajjagana Alibe, Bintu Gana Abiso

Author: Muhammad Ali Wakawa

Paper ID: V12I3-1234

Paper Status: published

Published: July 8, 2026

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Research Paper

Design Systems for High-Volume Digital Marketing: A Framework for Creative Consistency and Production Efficiency

High-volume digital marketing requires design teams to produce a large number of creative assets across formats, channels, campaigns, and markets while maintaining visual consistency and production quality. Traditional brand guidelines are often not enough to support this level of scale because they usually define visual identity but do not explain how creative production should operate in daily workflows. This paper proposes a conceptual framework for using design systems in high-volume digital marketing environments. The framework includes brand principles, visual rules, asset hierarchy, localization logic, production workflow, and review checklists. It argues that design systems should function not only as visual reference documents, but also as operational tools that help teams improve consistency, reduce rework, support localization, and increase production efficiency. The paper also discusses the role of design leadership in building scalable creative systems that connect visual quality with business outcomes

Published by: Kateryna Tskhovrebashvili

Author: Kateryna Tskhovrebashvili

Paper ID: V12I3-1233

Paper Status: published

Published: July 1, 2026

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Case Study

Applications of Lean Manufacturing Techniques to Enhance the Productivity of the Base Coating Process

Lean manufacturing techniques have increasingly been adopted in the automotive lighting sector to enhance efficiency, reduce waste, and improve product quality. This project explores the application of Lean methodologies in automotive lighting production, focusing on key practices such as value stream mapping, and continuous improvement (Kaizen). By analysing case studies from leading automotive lighting manufacturer (Varroc Engineering), the study highlights how these practices evaluate waste, streamline operations, minimize process costs, and enhance productivity. The integration of Lean principles not only optimizes the manufacturing process but also fosters a culture of innovation and responsiveness to organizational demands. Furthermore, the Project discusses the challenges faced in implementing Lean practices within this specialized field and offers strategies for overcoming these obstacles. Ultimately, the findings underscore the significance of Lean manufacturing in enhancing competitiveness and sustainability in the automotive lighting industry.

Published by: MajaharAli Shikalgar, Dr. Javed G. Khan

Author: MajaharAli Shikalgar

Paper ID: V12I3-1223

Paper Status: published

Published: June 30, 2026

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Research Paper

Comparative Assessment of Deep Learning Architectures for Urban Feature Extraction in ArcGIS Pro: U-Net vs. DeepLabV3+

The rapid development of deep learning has fundamentally transformed the way urban features are extracted from remotely sensed imagery. Among the most widely adopted architectures for semantic segmentation tasks in geospatial analysis are U-Net and DeepLabV3+, each offering distinct approaches to pixel-level classification. This paper presents a comparative theoretical and methodological assessment of both architectures in the context of urban land cover feature extraction, with specific reference to their implementation within ArcGIS Pro — a leading commercial GIS platform that natively supports deep learning workflows. The analysis focuses on architectural design principles, segmentation performance metrics reported in the literature, and the practical feasibility of deploying each model in an urban GIS environment such as the city of Plovdiv, Bulgaria. Results from existing studies indicate that both architectures achieve competitive accuracy on urban datasets, with U-Net demonstrating strengths in boundary-sensitive tasks and DeepLabV3+ excelling in multi-scale contextual feature capture. The study discusses the implications for GIS practitioners seeking to integrate deep learning into operational workflows using ArcGIS Pro tools.

Published by: Kaloyan Ivanov

Author: Kaloyan Ivanov

Paper ID: V12I3-1230

Paper Status: published

Published: June 28, 2026

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Research Paper

Serial Position Effect: The Causes of Forgetting

This study investigated the effect of loud rock music on memory recall using the Serial Position Effect. Participants were divided into two groups: one completed a word recall task in silence, while the other completed the same task while exposed to loud rock music. The study examined the primacy and recency effects by analyzing the number of words recalled from the beginning and end of a word list. Results showed that participants in the silent condition demonstrated stronger recall and a clearer serial position curve compared to those exposed to loud music. The findings suggest that loud background music interferes with attention, encoding, and retrieval processes, thereby reducing memory performance. These results highlight the influence of environmental distractions on cognitive functioning and learning.

Published by: Saisha Mehta

Author: Saisha Mehta

Paper ID: V12I3-1229

Paper Status: published

Published: June 28, 2026

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Research Paper

Solar-Powered Touchless Doorbell for Home and Industrial Applications

This project presents a Solar-Powered Touchless Doorbell for home and industrial applications using renewable energy and contactless sensing technology. An IR sensor detects the presence of a hand and activates the doorbell without physical contact, improving hygiene and convenience. The system is energy-efficient, cost-effective, and suitable for modern smart environments.

Published by: Vasanth, Dheena Prasanth K, Ravi Vinod, Vishal K, Dr. G. Sundar

Author: Vasanth

Paper ID: V12I3-1217

Paper Status: published

Published: June 23, 2026

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