CSU Research, Innovation and Extension

28/08/2026

𝗟𝗜𝗞𝗛𝗔 𝗦𝘂𝗺𝗺𝗶𝘁 𝗰𝗼𝗻𝗰𝗹𝘂𝗱𝗲𝘀, 𝗲𝗹𝗲𝘃𝗮𝘁𝗲𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻𝘀 𝗼𝗻 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲, 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗳𝘂𝘁𝘂𝗿𝗲

LIKHA Summit, the university’s flagship R&D activity, returned for its 4th year and welcomed leaders, experts, and researchers from regions of the Philippines on August 25-27, 2026. The summit’s overall goal was to contribute to the growing research landscape on making a sustainable and intelligent future, evident in this year’s theme.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆: https://www.carsu.edu.ph/likha-summit-concludes-elevates-discussions-on-sustainable-intelligent-future/

28/08/2026

27/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Unveiling Microplastic Pollution Pathways in the Agusan Marsh Wildlife Sanctuary

Freshwater wetlands serve as vital ecosystems that support biodiversity, sustain communities, and regulate environmental processes. However, the increasing presence of plastic pollution threatens these fragile habitats and the organisms that depend on them.

A research study titled “𝐌𝐢𝐜𝐫𝐨𝐩𝐥𝐚𝐬𝐭𝐢𝐜 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐢𝐧 𝐝𝐞𝐦𝐞𝐫𝐬𝐚𝐥 𝐟𝐢𝐬𝐡𝐞𝐬 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐰𝐞𝐭𝐥𝐚𝐧𝐝 𝐬𝐢𝐧𝐤 𝐝𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐮𝐬𝐚𝐧 𝐌𝐚𝐫𝐬𝐡 𝐖𝐢𝐥𝐝𝐥𝐢𝐟𝐞 𝐒𝐚𝐧𝐜𝐭𝐮𝐚𝐫𝐲, 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬” provides important scientific evidence on the accumulation and distribution of microplastics in freshwater fish species within one of the country’s most significant wetland ecosystems.

The study highlights the role of the Agusan Marsh Wildlife Sanctuary as a potential sink for microplastic pollutants, emphasizing the need for strengthened monitoring, conservation efforts, and sustainable environmental management strategies. Through this research, scientists contribute valuable knowledge toward understanding plastic contamination pathways and protecting aquatic ecosystems.

Author:
𝐑𝐨𝐥𝐚𝐧𝐝 𝐂𝐚𝐫𝐞 𝐁. 𝐁𝐮𝐫𝐝𝐞𝐨𝐬, 𝐉𝐨𝐲𝐜𝐞𝐥𝐲𝐧 𝐂. 𝐉𝐮𝐦𝐚𝐰𝐚𝐧, 𝐆𝐢𝐨𝐯𝐚𝐧𝐧𝐢 𝐅𝐞𝐥𝐢𝐜𝐢𝐭𝐚𝐬, 𝐑𝐨𝐥𝐚𝐧𝐝 𝐆𝐢𝐞𝐫 𝐃𝐞𝐥𝐚𝐫𝐚, 𝐄𝐭𝐡𝐞𝐥 𝐊𝐞𝐥𝐞𝐬𝐭𝐞, 𝐓𝐞𝐦𝐦𝐲 𝐏. 𝐕𝐚𝐥𝐞𝐬, 𝐅𝐞𝐥𝐦𝐞𝐫 𝐒. 𝐋𝐚𝐭𝐚𝐲𝐚𝐝𝐚, 𝐑𝐨𝐦𝐞𝐥𝐥 𝐀. 𝐒𝐞𝐫𝐨𝐧𝐚𝐲, 𝐒𝐡𝐞𝐲𝐥𝐞𝐲 𝐀𝐧𝐧 𝐓. 𝐈𝐧𝐨𝐜𝐞𝐧𝐭𝐞, 𝐌𝐚𝐫𝐲𝐛𝐞𝐭𝐡 𝐇𝐨𝐩𝐞 𝐓. 𝐁𝐚𝐧𝐝𝐚, 𝐑𝐞𝐲 𝐘. 𝐂𝐚𝐩𝐚𝐧𝐠𝐩𝐚𝐧𝐠𝐚𝐧

Published in:
𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐨𝐭𝐚𝐥 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭

Publisher:
𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬 𝐈𝐧𝐝𝐞𝐱𝐞𝐝 | 𝐖𝐞𝐛 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (𝐒𝐂𝐈𝐄)

Read more: https://doi.org/10.1016/j.scitotenv.2026.182197

27/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Strengthening Cybersecurity Awareness Through Behavioral Insights in Higher Education

As digital technologies continue to transform education and institutional operations, cybersecurity awareness and responsible online behavior have become essential in protecting information systems, digital resources, and academic communities.

This study, “𝐅𝐚𝐜𝐭𝐨𝐫𝐬 𝐈𝐧𝐟𝐥𝐮𝐞𝐧𝐜𝐢𝐧𝐠 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐈𝐧𝐭𝐞𝐧𝐭𝐢𝐨𝐧: 𝐓𝐡𝐞 𝐂𝐚𝐬𝐞 𝐨𝐟 𝐂𝐚𝐫𝐚𝐠𝐚 𝐒𝐭𝐚𝐭𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲,” examines the factors that shape individuals’ willingness to adopt cybersecurity practices within a higher education environment. Using the Theory of Planned Behavior (TPB) framework, the research explores how attitudes, social influences, and perceived behavioral control contribute to cybersecurity intentions among university students.

The study provides valuable insights into the importance of cybersecurity education, awareness programs, and capability-building initiatives in developing a more security-conscious academic community. Its findings highlight the role of knowledge, confidence, and social responsibility in promoting safer digital practices.

Authors:
𝐑𝐚𝐟𝐟𝐲 𝐎. 𝐋𝐞𝐫𝐨𝐧𝐚, 𝐍𝐚𝐭𝐡𝐚𝐧 𝐊𝐢𝐭 𝐀. 𝐁𝐞𝐫𝐫𝐨, 𝐌𝐚𝐫𝐢𝐚𝐧 𝐀𝐧𝐭𝐡𝐨𝐧𝐞𝐭𝐭𝐞 𝐋𝐮𝐭𝐫𝐚𝐠𝐨, 𝐑𝐨𝐬𝐯𝐢𝐧 𝐌. 𝐌𝐚𝐧𝐠𝐚𝐝𝐥𝐚𝐨, 𝐌𝐞𝐥𝐛𝐞𝐫𝐭 𝐑. 𝐁𝐨𝐧𝐨𝐭𝐚𝐧

Published in:
𝐁𝐢𝐠 𝐃𝐚𝐭𝐚: 𝐌𝐨𝐝𝐞𝐫𝐧 𝐓𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬
(𝐒𝐩𝐫𝐢𝐧𝐠𝐞𝐫 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 𝐢𝐧 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐒𝐞𝐫𝐢𝐞𝐬)

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬

Publisher:
𝐒𝐩𝐫𝐢𝐧𝐠𝐞𝐫 𝐍𝐚𝐭𝐮𝐫𝐞 𝐒𝐰𝐢𝐭𝐳𝐞𝐫𝐥𝐚𝐧𝐝 𝐀𝐆

Read more: https://doi.org/10.1007/978-3-032-08765-2_3

27/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Advancing Healthcare Analytics Through Artificial Intelligence and Physics-Informed Neural Networks

The increasing complexity of healthcare challenges, including epidemic monitoring and disease prediction, highlights the need for innovative computational approaches that can support timely and data-driven decision-making. Emerging technologies in artificial intelligence provide new opportunities to enhance predictive modeling and improve public health strategies.

This study, “𝐀 𝐃𝐚𝐭𝐚-𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐟𝐨𝐫 𝐇𝐲𝐩𝐞𝐫𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐡𝐲𝐬𝐢𝐜𝐬-𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐄𝐩𝐢𝐝𝐞𝐦𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬,” introduces an innovative approach that integrates artificial intelligence, physics-informed neural networks (PINNs), and adaptive optimization strategies to improve the accuracy and efficiency of healthcare epidemic analytics.

By developing a data-adaptive framework for selecting optimal hyperparameters, the research enhances the capability of machine learning models in analyzing complex healthcare data and supporting more reliable epidemic forecasting and decision-support systems.

Authors:
𝐍𝐚𝐧𝐚𝐧𝐠 𝐒𝐮𝐬𝐲𝐚𝐧𝐭𝐨, 𝐔𝐭𝐭𝐢 𝐌𝐚𝐫𝐢𝐧𝐚 𝐑𝐢𝐟𝐚𝐧𝐭𝐢, 𝐉𝐚𝐲𝐫𝐨𝐥𝐝 𝐏. 𝐀𝐫𝐜𝐞𝐝𝐞, 𝐃𝐞𝐝𝐢 𝐑𝐨𝐡𝐞𝐧𝐝𝐢, 𝐘𝐮𝐝𝐢 𝐒𝐨𝐞𝐡𝐚𝐫𝐲𝐚𝐝𝐢, 𝐉𝐚𝐥𝐢𝐧𝐚 𝐖𝐢𝐝𝐣𝐚𝐣𝐚, 𝐒𝐢𝐭𝐢 𝐅𝐚𝐭𝐢𝐦𝐚𝐡, 𝐊𝐚𝐫𝐭𝐢𝐤𝐚 𝐘𝐮𝐥𝐢𝐚𝐧𝐭𝐢, 𝐚𝐧𝐝 𝐒𝐨𝐟𝐢𝐡𝐚𝐫𝐚 𝐀𝐥 𝐇𝐚𝐳𝐦𝐲

Published in:
𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 (𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫 𝐈𝐧𝐜.)

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.1016/j.health.2026.100460

26/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Advancing Mangrove Conservation Through Earth Observation-Based Post-Typhoon Damage Assessment

Mangrove ecosystems play a vital role in coastal protection, biodiversity conservation, and climate change mitigation. However, extreme weather events such as typhoons continue to threaten these valuable ecosystems, causing significant structural damage and biomass loss that require timely and accurate assessment.

This study, “𝐏𝐨𝐬𝐭-𝐓𝐲𝐩𝐡𝐨𝐨𝐧 𝐃𝐚𝐦𝐚𝐠𝐞 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐁𝐢𝐨𝐦𝐚𝐬𝐬 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧 𝐋𝐨𝐬𝐬 𝐢𝐧 𝐌𝐚𝐧𝐠𝐫𝐨𝐯𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐄𝐚𝐫𝐭𝐡 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐭𝐚𝐬𝐞𝐭𝐬,”presents an innovative approach utilizing Earth Observation datasets and remote sensing technologies to evaluate the extent of typhoon-induced mangrove damage and estimate biomass losses.

Through the integration of geospatial analysis and satellite-based observations, the research provides critical information for assessing ecosystem recovery, guiding restoration initiatives, and supporting evidence-based coastal resource management.

The findings contribute to strengthening climate resilience strategies by providing scientific approaches for monitoring and conserving mangrove ecosystems, particularly in areas vulnerable to extreme weather events.

Authors:
𝐀𝐫𝐧𝐚𝐥𝐝𝐨 𝐂. 𝐆𝐚𝐠𝐮𝐥𝐚, 𝐉𝐚𝐲 𝐌𝐞𝐥𝐯𝐢𝐧 𝐁. 𝐒𝐞𝐠𝐚𝐥𝐞𝐬, 𝐂𝐨𝐥𝐥𝐞𝐧 𝐓. 𝐑𝐚𝐟𝐨𝐥𝐬, 𝐑𝐨𝐥𝐥𝐞𝐞𝐧 𝐌𝐨𝐧𝐢𝐜𝐚 𝐌. 𝐑𝐞𝐛𝐮𝐲𝐨𝐧

Published in:
𝟐𝟎𝟐𝟓 𝐈𝐄𝐄𝐄 𝐀𝐬𝐢𝐚-𝐏𝐚𝐜𝐢𝐟𝐢𝐜 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐆𝐞𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐧𝐢𝐜𝐬 𝐚𝐧𝐝 𝐑𝐞𝐦𝐨𝐭𝐞 𝐒𝐞𝐧𝐬𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 (𝐀𝐆𝐄𝐑𝐒)

Indexed:
𝐈𝐄𝐄𝐄 𝐗𝐩𝐥𝐨𝐫𝐞

Read more: https://doi.org/10.1109/AGERS67633.2025.11446405

26/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Harnessing Artificial Intelligence for Sustainable Urban Planning and Land Use Efficiency

Rapid urbanization has become a critical global challenge, requiring innovative approaches for monitoring urban expansion, managing land resources, and supporting sustainable development. The increasing demand for efficient land-use planning highlights the need for advanced technologies capable of forecasting urban growth patterns and population dynamics to guide evidence-based decision-making.

This study, “𝐀 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐁𝐮𝐢𝐥𝐭-𝐔𝐩 𝐀𝐫𝐞𝐚 𝐚𝐧𝐝 𝐏𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐋𝐚𝐧𝐝 𝐔𝐬𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐮𝐧𝐝𝐞𝐫 𝐒𝐃𝐆 𝟏𝟏.𝟑.𝟏,” presents an innovative approach utilizing deep learning, geospatial technologies, and remote sensing data to forecast future built-up area expansion and population changes. The researchers developed a framework designed to support the assessment of land use efficiency in alignment with Sustainable Development Goal (SDG) 11.3.1: Ratio of Land Consumption Rate to Population Growth Rate.

Authors:
𝐉𝐨𝐣𝐞𝐧𝐞 𝐑. 𝐒𝐚𝐧𝐭𝐢𝐥𝐥𝐚𝐧, 𝐌𝐚𝐫𝐞𝐢𝐤𝐞 𝐃𝐨𝐫𝐨𝐳𝐲𝐧𝐬𝐤𝐢, 𝐚𝐧𝐝 𝐂𝐡𝐫𝐢𝐬𝐭𝐢𝐚𝐧 𝐇𝐞𝐢𝐩𝐤𝐞

Published:
𝐈𝐒𝐏𝐑𝐒 𝐀𝐧𝐧𝐚𝐥𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐏𝐡𝐨𝐭𝐨𝐠𝐫𝐚𝐦𝐦𝐞𝐭𝐫𝐲, 𝐑𝐞𝐦𝐨𝐭𝐞 𝐒𝐞𝐧𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.5194/isprs-annals-X-5-W4-2025-385-2026

26/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Advancing Sustainable Agricultural Automation Through Renewable Energy Innovation

Small-scale farmers often face challenges related to labor-intensive farming practices, limited access to agricultural technologies, and unreliable energy sources that affect productivity and operational efficiency. Addressing these challenges requires the development of accessible, sustainable, and context-appropriate technologies that can support modern agricultural practices in rural communities.

This study, “𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐎𝐟𝐟-𝐆𝐫𝐢𝐝 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞: 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐚 𝐒𝐨𝐥𝐚𝐫-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐞𝐞𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐅𝐞𝐫𝐭𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐌𝐢𝐜𝐫𝐨 𝐅𝐚𝐫𝐦𝐞𝐫𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬,” presents the development and evaluation of a solar-powered automated system designed to support seeding and fertigation activities among micro farmers. The research explored the integration of renewable energy and agricultural automation technologies to provide an efficient and sustainable approach to farm management, particularly in off-grid agricultural settings.

The findings demonstrate the potential of solar-powered automation systems in improving agricultural operations by reducing manual labor requirements, enhancing resource management, and promoting the adoption of smart farming technologies among smallholder farmers. The study provides valuable insights into how innovative engineering solutions can contribute to sustainable agricultural development and rural empowerment.

Authors:
𝐉𝐨𝐡𝐧 𝐄𝐬𝐭𝐢𝐥𝐥𝐨𝐫𝐞, 𝐖𝐞𝐱 𝐑𝐨𝐢𝐝 𝐒𝐚𝐥𝐯𝐚𝐝𝐨𝐫, 𝐕𝐢𝐜 𝐑𝐨𝐮𝐞 𝐌𝐨𝐫𝐚𝐧𝐨, 𝐄𝐝𝐠𝐚𝐫 𝐂𝐚𝐠𝐚𝐦𝐩𝐚𝐧𝐠, 𝐚𝐧𝐝 𝐉𝐞𝐦𝐮𝐞𝐥 𝐌𝐢𝐥𝐥𝐚

Published in:
𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐞𝐝𝐢𝐧𝐠𝐬

Publisher:
𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐚𝐫𝐲 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 (𝐌𝐃𝐏𝐈)

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.3390/engproc2026143003

26/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | The rapid advancement of 3D printing technology presents new opportunities for sustainable manufacturing, particularly through the development of alternative materials derived from recycled resources.

Three-dimensional (3D) printing has become an emerging technology with applications in engineering, education, and industry. However, challenges remain in ensuring the availability of sustainable and cost-effective printing materials, particularly thermoplastic filaments used in additive manufacturing.

This study presents the “𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐚𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐟𝐢𝐥𝐚𝐦𝐞𝐧𝐭 𝐞𝐱𝐭𝐫𝐮𝐬𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 𝐮𝐬𝐢𝐧𝐠 𝐫𝐞𝐜𝐲𝐜𝐥𝐞𝐝 𝐭𝐡𝐞𝐫𝐦𝐨𝐩𝐥𝐚𝐬𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝟑𝐃 𝐩𝐫𝐢𝐧𝐭𝐢𝐧𝐠 𝐢𝐧 𝐂𝐚𝐫𝐚𝐠𝐚 𝐒𝐭𝐚𝐭𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲, 𝐂𝐚𝐛𝐚𝐝𝐛𝐚𝐫𝐚𝐧 𝐂𝐚𝐦𝐩𝐮𝐬”. The research focused on designing and evaluating a system capable of converting recycled thermoplastic materials into usable filament, providing a potential approach for improving material sustainability in 3D printing processes.

The developed system contributes to the advancement of circular economy practices by promoting the reuse of plastic materials while supporting the accessibility of locally developed solutions for additive manufacturing. The findings highlight the potential of integrating automation and recycling technologies in creating more sustainable fabrication processes.

Authors:
𝐌𝐚𝐫𝐢𝐬𝐨𝐥 𝐉𝐚𝐧𝐞 𝐌. 𝐁𝐞𝐫𝐚𝐲, 𝐑𝐚𝐟𝐟𝐲 𝐕. 𝐂𝐨𝐬𝐢𝐜𝐨𝐥, 𝐑𝐞𝐲𝐦𝐚𝐫𝐤 𝐂. 𝐂𝐚𝐩𝐮𝐧𝐨𝐧𝐠, 𝐋𝐚𝐫𝐫𝐲 𝐌𝐞𝐫𝐥 𝐆. 𝐂𝐚𝐥𝐝𝐨𝐳𝐚, 𝐚𝐧𝐝 𝐌𝐚𝐭𝐭 𝐀𝐥𝐟𝐫𝐞𝐝 𝐀. 𝐕𝐢𝐥𝐥𝐚𝐡𝐞𝐫𝐦𝐨𝐬𝐚

Published in:
𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐞𝐝𝐢𝐧𝐠𝐬

Publisher:
𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐚𝐫𝐲 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 (𝐌𝐃𝐏𝐈)

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.3390/engproc2026143002

26/08/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Advancing Innovative Solutions for Microplastic Capture and Environmental Sustainability

Microplastic pollution has become a growing environmental concern due to the persistence of plastic particles in aquatic ecosystems and their potential impacts on environmental quality and human health. Addressing this challenge requires the development of efficient and sustainable technologies capable of detecting, separating, and removing microplastic contaminants from water systems.

This study, “𝐁𝐞𝐲𝐨𝐧𝐝 𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐜𝐨𝐚𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧: 𝐑𝐞𝐯𝐢𝐬𝐢𝐭𝐢𝐧𝐠 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐚𝐥𝐥𝐲 𝐃𝐫𝐢𝐯𝐞𝐧 𝐏𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬, 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬, 𝐚𝐧𝐝 𝐅𝐮𝐭𝐮𝐫𝐞 𝐃𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐌𝐢𝐜𝐫𝐨𝐩𝐥𝐚𝐬𝐭𝐢𝐜 𝐂𝐚𝐩𝐭𝐮𝐫𝐞,” provides a comprehensive review of emerging electrically driven particle manipulation technologies beyond conventional electrocoagulation approaches. The researchers examined various mechanisms, including electrokinetic and electrically induced particle transport processes, highlighting their potential applications in enhancing microplastic separation and capture efficiency.

The study presents valuable insights into the advancement of next-generation water treatment technologies by exploring innovative electrical approaches for microplastic removal. The findings contribute to the growing body of knowledge supporting sustainable environmental engineering solutions and provide future directions for researchers and practitioners working toward cleaner and more resilient water systems.

Authors:
𝐌𝐚𝐫𝐜𝐨 𝐋𝐚𝐮𝐫𝐞𝐧𝐜𝐞 𝐌. 𝐁𝐮𝐝𝐥𝐚𝐲𝐚𝐧, 𝐑𝐞𝐧𝐳𝐨 𝐋𝐮𝐢𝐬 𝐃. 𝐑𝐞𝐚𝐳𝐨, 𝐋𝐞𝐚 𝐆. 𝐍𝐚𝐯𝐢𝐝𝐚𝐝, 𝐁𝐞𝐧𝐣𝐨𝐞 𝐑𝐞𝐲 𝐁. 𝐕𝐢𝐬𝐚𝐲𝐚𝐬, 𝐚𝐧𝐝 𝐑𝐞𝐲 𝐘. 𝐂𝐚𝐩𝐚𝐧𝐠𝐩𝐚𝐧𝐠𝐚𝐧

Published in:
𝐂𝐡𝐞𝐦𝐢𝐜𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐬

Publisher:
𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫 𝐁.𝐕.

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.1016/j.ceja.2026.101186