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86 articles for “Limit Cycle”
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The Future of Open Streets, New York City
Abstract: The COVID-19 pandemic necessitated rapid adjustments to New York City public spaces, leading to the implementation of the Open Streets program by the NYC Department of Transportation (DOT). This program transformed streets across the city into pedestrian- friendly zones by limiting vehicular traffic and providing much-needed outdoor space for residents to walk, bike, and socialize safely. While successful in some areas, the program faced significant challenges. These included equity issues, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 16–31 Read article
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Innovations and Comparative Analyses in Foam Concrete: A Review of Emerging Techniques and Materials
Abstract: Foam concrete, recognized for its lightweight and eco-friendly properties, is gaining prominence as a sustainable construction material. However, challenges such as low mechanical strength, performance variability, and limited environmental resistance have prompted significant innovations in recent years. This study synthesizes findings from three key studies focused on enhancing foam concrete’s performance through nanomaterials, natural fibers, and alternative lightweight aggregates. The incorporation of nano-silica and nano-calcium carbonate into coal gangue foam …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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From Carbon to Composites: Evolution and Trends in Supercapacitor Technology
Abstract: Supercapacitors, also referred to as ultracapacitors, have become a crucial component in the landscape of energy storage technologies. They effectively bridge the gap between conventional capacitors and batteries, offering unique advantages such as high power density, rapid charge/discharge rates, and exceptional cycle life. These characteristics make supercapacitors indispensable for a wide range of applications, including consumer electronics, automotive systems, and renewable energy systems. This comprehensive review explores the evolution of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 61–67 Read article
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Horizon Scanning and Early Assessment of Health Technologies for the Treatment of Orphan Diseases
Abstract: The theoretical foundations and regulatory framework of the processes of the formation of an effective health technology assessment (HTA) system at the early stages of the life cycle of medicines are analyzed in the article. Particular attention is paid to horizon scanning (HS) and early assessment of expensive innovative drugs utilized for treating rare diseases. In order to inform policymakers, purchasers, and providers (to prioritize MT research, financial, and operational …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 32–39 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article