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Civil and Environmental Engineering / Volume 01 Posted on: January 3, 2026

Advancing Citizen Science Stormwater Runoff Sampling: An Interdisciplinary Framework for Enhanced Data Collection, Emerging Contaminant Detection, and Technological Integration

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Visual Arts & Design / Volume 01 Posted on: January 3, 2026

Transforming Constraint into Creative Opportunity: Aesthetic Integration of Accessibility in Contemporary Exhibition Design

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Theoretical & Experimental Physics / Volume 01 Posted on: January 1, 2026

Gravitational Wave Memory Effects: Theoretical Framework, Refined Predictions, and Detection Prospects for Current and Future Observatories

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Artificial Intelligence, Machine Learning and Data Science / Volume 01 Posted on: January 1, 2026

Democratizing Machine Learning through AutoML: A Framework for Accessibility, Quality Control, and Risk Assessment in Responsible Model Development

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Innovation, Tech adoption & Societal impacts / Volume 01 Posted on: December 28, 2025

Algorithmic Nostalgia: How Platform Architectures Construct and Commodify the Past

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Literature & Literary Studies / Volume 01 Posted on: December 24, 2025

Grieving the Future: Narrative Affect and Anticipatory Loss in Twenty-First Century Climate Fiction

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Cultural Studies & Critical Theory / Volume 01 Posted on: December 22, 2025December 22, 2025

Color Perception Across Cultures: An Empirical Investigation of Cross-Cultural Differences in Digital Interface Design

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Renewable Energy / Volume 01 Posted on: December 21, 2025

Machine Learning and Edge AI for Smart Grid Optimization: A Comprehensive Review of Fault Detection, Renewable Integration, and Real-Time Control

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Artificial Intelligence, Machine Learning and Data Science / Volume 01 Posted on: December 19, 2025

Integrating Artificial Intelligence and Operations Research for Enhanced Decision Support: A Methodological Framework

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Artificial Intelligence, Machine Learning and Data Science / Volume 01 Posted on: December 19, 2025

Quantifying Typological Diversity in Multilingual Research: A Framework for Measuring Language Sample Representativeness and Addressing Sampling Bias

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