Digital Commons Network^™

Regulation Of Haemodynamic Variables By Laguerre Polynomials Based Model Predictive Control., Sai Sandeep Boda, Hiren Kumar G. Patel, Khyati D. Mistry

ASEAN Journal on Science and Technology for Development

Purpose: Cardiac output (CO) and Mean Arterial Pressure (MAP) are two haemodynamic variables that need regulation in clinical situations, particularly in post-cardiac surgery patients. As it is difficult for clinical personnel to monitor continuously, automatic drug infusion to regulate MAP and CO is recommended and essential in the medical environment. Methods: Two input and two output patient model was used in this work to study the variation of haemodynamic variables in response to the infusion of Dopamine (DP) and Sodium Nitroprusside (SNP) drugs. Model predictive control (MPC) algorithm was exercised here as it was a well-established technique to regulate output …

From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh

ASEAN Journal on Science and Technology for Development

The increasing complexity and frequency of cyber threats have necessitated the adoption of advanced security models, such as Zero Trust Architecture (ZTA). ZTA runs on the tenet that no entity whether inside or outside the network should be trusted by default, in contrast to conventional perimeter-based security solutions. This paper describes a thorough method for simulating and implementing Zero Trust Architecture in Python. We examine the essential elements and procedures of ZTA, such as identity verification, access control, and continuous monitoring, through a thorough analysis and step-by-step manual. The simulation shows how ZTA works to ensure strong network security and …

Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni

ASEAN Journal on Science and Technology for Development

Solid waste in areas affected by seawater floods must be handled specifically because people often dispose of solid waste on flooded land. This research aims to identify the performance of the community to manage solid waste and solid waste management strategy, solid waste measurement using SNI method 19-3964-1994. Analysis of land affected by seawater floods shows that 12 villages are flooded. Communities in coastal areas are not optimal in managing solid waste because the government has never given directions to manage solid waste in a good way, the facilities and marketing are inadequate so that solid waste is often not …

Exploring Dynamics And Effective Strategies For Tidal Flood Risk Reduction In Indonesia's Coastal Cities, Satria Yudha Adhitama, Diana Puspitasari, Lucia Sandra Budiman, Azis Musthofa

ASEAN Journal on Science and Technology for Development

Indonesia’s coastal regions have distinct charateristics. However, nearly all of these coastal regions are vulnerable to tidal floods. The purpose of this study is to determine the features of coastal regions in Indonesia that have been damaged by tidal floods, as well as the actions implemented to mitigate disaster risk. Thus study takes a qualitiative method with explanatory analysis. The Island Spatial Planning is used to classify Indonesia’s archipelagic regions.An urban area vulnerable to tidal flood was selected from each archipelagic region. The characteristics of coastal regions affected by tidal flood were identified by the tidal flood characteristics, coastal physiography. …

Quality And Safety Analysis Of Integrated Bus Services And Feeder Transport In Surabaya, Indonesia, Desrina Yusi Irawati, Agrienta Bellanov, Armadeo Ruben Canariesa

ASEAN Journal on Science and Technology for Development

The Surabaya city government has developed public transportation through integrated bus services and feeder transport. These transportation systems include Trans Semanggi, Suroboyo Bus, and Wira Wiri Surabaya. The challenge facing these transportation programs is the low level of public participation in using public transportation. This research aims to provide a comprehensive investigation of the perceived service quality of integrated public transportation in Surabaya by combining the RESCA and SERVQUAL frameworks. The study contributes by highlighting service quality gaps across five customized dimensions and offering practical insights to improve user satisfaction and increase public transport usage. Each RESCA dimension incorporates RATER …

Manure Handling In Circular Farming: An In Vitro Study Of Fermented Poultry Manure As Unconventional Feed For Ruminants, Dimas Hand Vidya Paradhipta, De Lavida Padma Terrakota, Ali Agus, Andriyani Astuti, Viagian Pastawan, Kharisma Taufiqa Hidayah

ASEAN Journal on Science and Technology for Development

The development of the poultry industry must consider the principle of circular economy. Therefore, this study aims to develop a method of fermenting poultry manure as a new, unconventional feed, which can support the model of circular farming. Poultry manure obtained from laying hens was mixed with cassava solid waste at a ratio of 7:3 to maintain proper moisture content. The mixed manure fermented for 14 days into a 30 kg silo in triplicate using different additives, namely Lactiplantibacillus plantarum FNCC 0020 at 1 x 10⁵ cfu/g (LP), Bacillus cereus LS2B as proteolytic bacteria at 1 x …

Enhancing Acetone Gas Sensor Performance With Cobalt Oxide Doping In Lafeo3 Prepared By Co-Precipitation, Andhy Setiawan, Farah Aprisza Sheelmarevaa, Muhamad Taufik Ulhakim, Dani Gustaman Syarif, Endi Suhendi

Journal of Metals, Materials and Minerals

Semiconductor-based gas sensors frequently encounter difficulties in attaining optimal performance due to challenges such as temporal stability and low sensitivity, stemming from their insulating properties at room temperature. To address these limitations, this study proposes a novel approach by preparing cobalt-doped LaFeO3 (LaFeO3-Co) using the co-precipitation method, with doping concentrations of 2.5 mol% and 5.0 mol%. The acetone gas sensors were fabricated into thick films via the screen-printing technique, and their performance was thoroughly characterized. X-ray diffraction (XRD) analysis confirmed a cubic crystal structure, and the addition of 2.5 mol% cobalt was found to reduce the particle size of LaFeO3, …

Enhanced Photocatalytic Reduction Of Cr(Vi) Under Visible Light A Magnetically Separable Tio2-Fe/Fe3o4 Photocatalyst Prepared From Iron Rusty Waste, Khoirunisa Khoirunisa, Novianti Dwi Lestari, Endang Tri Wahyuni, Taufik Abdillah Natsir

Journal of Metals, Materials and Minerals

This research deals with enhancing the visible activity and generating the magnetic property of TiO2 by Fe doping and Fe3O4 impregnation respectively, using rusty iron waste as Fe source. The prepared TiO2-Fe/Fe3O4 photocatalysts were characterized by SR-UV/Visible, FTIR, XRD, and SEM-EDX instruments. The resulting photocatalysts are responsive to visible light and can be separated magnetically and used for photoreduction of Cr (VI) ions. In the photoreduction of Cr(VI) over TiO2-Fe/Fe3O4 photo-catalysts with various amounts of Fe dopant and alteration of Fe3O4 fraction, the photocatalyst mass, irradiation time, and solution pH were optimized. The research results assign that doping Fe to …

Elucidating The Corrosion Of Carbon Steel In Hybrid Monoethanolamine Solutions Containing Methanol Or N-Methyl-2-Pyrrolidone, Pui Yee Tan, Lian See Tan, Swee Pin Yeap, Peck Loo Kiew, Mee Kee Wong, Azmi Mohd Shariff

Journal of Metals, Materials and Minerals

Corrosion has been a persistent issue in carbon dioxide (CO2) absorption unit that needs to be resolved in order to prolong the life span of the absorber unit. In this regard, understanding the corrosion behaviour, particularly in hybrid monoethanolamine (MEA) solutions, is crucial. This study aims to give detail information on the role of different process parameters, encompassing types of amine solution, temperature, and CO2 loading on the corrosion behaviour of carbon steel in system containing hybrid solution of monoethanolamine (MEA) and methanol (MeOH) or N-methyl-2-pyrrolidone (NMP). Here, the corrosion extent of the carbon steel was evaluated using gravimetric experiments. …

High-Binding Affinity Nanobody Against Sars-Cov-2 Xbb.1.5: Computational-Based Protein Engineering, Phoomintara Longsompurana, Napat Kongtaworn, Rungtiva P. Poo-Arporn, Thanyada Rungrotmongkol

Journal of Metals, Materials and Minerals

The emergence of the SARS-CoV-2 variant XBB.1.5 has triggered a global health crisis by enhancing viral entry into cells via its spike protein. This study addresses the urgent need to develop neutralizing nanobodies (Nbs) to counteract the SARS-CoV-2 virus. Our aim was to identify a lead Nb and enhance its binding affinity to the receptor-binding motif (RBM) on the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein (S-protein) using computational methods. A total of 29 Nbs were screened against the XBB.1.5 RBD using the HDOCK server to select a lead Nb. This investigation revealed that Nb_7KGK exhibited the highest binding …

Photodegradation Of Malachite Green Using 2d G-C3n5 Nanosheet: A Promising Metal Free Catalyst, Sonali Biswal, Swayam Aryam Behera, Asima Subhadarshini, P. Ganga Raju Achary, Binita Nanda

Journal of Metals, Materials and Minerals

Environmental issues have become more serious these days due to the growth of modern industries. The paper and textile industries, in particular, were heavily dependent on the printing and discharge of dye, which constantly leaked into the water ecology and constituted a serious risk to public health. Organic wastewater treatment and remediation for its associated risks have received a lot of attention lately. This work explored the potential of the g-C3N5 nanostructure as a novel photocatalyst for malachite green degradation in aqueous solution while exposed to visible light. The nanocomposite was fabricated through an ultrasonicate-assisted technique. A number of analysis …

Facile Synthesis Of Bamno3-Zro2 Composite: A Step Towards The Photocatalytic Degradation Of Organic Dye, Kirttimayee Mohanta, Swayam Aryam Behera, Binita Nanda, P. Ganga Raju Achary

Journal of Metals, Materials and Minerals

Environmental contamination by synthetic dyes, particularly Methylene Blue (MB), presents a significant threat to aquatic ecosystems and human health due to their chemical stability and toxicity. This study investigates the photocatalytic degradation of MB using a BaMnO3:ZrO2 composite synthesized in a 1:2 ratio via a straightforward wet-chemical method. Structural and optical characterizations were performed using X-ray diffraction (XRD), Scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and Ultraviolet-visible diffuse reflectance spectroscopy (UV-DRS). The composite exhibited a reduced bandgap of 2.88 eV and uniform nanoscale morphology, both favorable for visible-light-driven photocatalysis. Under visible-light irradiation, the catalyst achieved 89% degradation efficiency within …

Bagasse Lignin For Single-Used Food Packaging Applications: Uv-Barrier, Antioxidant, Migration And Cytotoxicity, Pawarisa Wijaranakul, Bongkot Hararak, Wanwitoo Wanmoolee, Prapudsorn Wannid, Weerawan Laosiripojana

Journal of Metals, Materials and Minerals

This study examined PLA biocomposite films made from organosolv lignin extracted from Thai agro-waste, specifically sugarcane bagasse (BG), to assess their suitability for food packaging, focusing on their physical, thermal, optical, UV-shielding, antioxidant, and migration properties. Extracted BG-lignin exhibited free radical scavenging ability with an EC50 value of 400 µg/ml, reducing DPPH absorbance by 50%. PLA composite films with BG-lignin dosage from 0.1 to 1.0 wt.% were successfully fabricated via conventional blown film extrusion. Addition of BG-lignin at 0.5 wt.% and 1.0 wt.% to PLA films decreased UV transmittance from 90% to 30% and 12%, respectively, without compromising optical clarity. …

Sulfur-Doped Carbon Dots Derived From Caffeine: A Highly Efficient Photocatalyst For Organic Dye Degradation, Ganyaporn Wongwaen, Koranut Dechsri, Praneet Opanasopit, Montri Aiempanakit, Cheewita Suwanchawalit

Journal of Metals, Materials and Minerals

Sulfur-doped carbon dots (S-doped CDs) were synthesized via a solvothermal method using caffeine as a carbon precursor and sodium sulfide as a sulfur source. Characterization using transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), Fourier-transform infrared spectroscopy (FT-IR), ultraviolet -visible (UV-Vis) spectroscopy, and photoluminescence spectroscopy (PL) confirmed successful sulfur incorporation. TEM revealed a uniform size distribution and graphitic structures, while UV-Vis analysis showed a reduction in the bandgap from 3.29 eV to 3.10 eV, improving light absorption and charge carrier separation. The photocatalytic activity of S-doped CDs was evaluated for indigo carmine (IC) dye degradation under UV irradiation, where 2S-CDs …

Aluminium Oxide Particles-Containing Organogels For Cleaning Of Optical Glass Surfaces, Galina Vladimirovna Lyamina, Oksana Valerievna Dubinina, Alfa Edison I Lela

Journal of Metals, Materials and Minerals

Hypothesis:  Some types of cleaning methods are not very effective and can actually increase damage to the optical parts being cleaned. As an alternative to these methods, we propose the use of gel-like substances to remove contaminants from optical surfaces. We have developed a method for cleaning optical glass surfaces that uses organogels, which are based on copolymers of methyl methacrylate and methacrylic acid. These organogels are loaded with polyethylene glycol, and aluminum oxide particles (Al2O3), which help to effectively remove contaminants without causing damage to the surface.   Experiments:  Al2O3 nanoparticles prepared by a Nano Spray Dryer were added to …

Impact Of Automated Controlled Tile Drainage On Field Discharge Water, Soil Moisture, And Crop Yield In Southeastern South Dakota, Joshua Becker

Electronic Theses and Dissertations

Automated controlled tile drainage is an innovative approach to water management, using dynamic weir settings programmed to drain water out of the tile system if it encroaches into the root zone at pre-programmed depths and duration. While past studies have indicated potential yield and water quality benefits of controlled drainage, there has been very little research into the performance of automated controlled drainage. In addition to overall performance, there is a gap in knowledge of management settings to optimize yield and water quality benefits. Two experiments, one plot-scale and one modeling, were conducted to assess the impact of automated controlled …

Effects Of Peel Angle And Strain Rate On The Bond Between Frcm Composite And Concrete Substrate, Lucas Robert Gervais

Electronic Theses and Dissertations

Fiber-reinforced cementitious matrix (FRCM) composites have gained increasing attention for the rehabilitation and strengthening of concrete and masonry structures due to their favorable mechanical properties, compatibility with existing substrates, and ease of application. The effectiveness of any strengthening procedure depends on the quality of the bond between the external reinforcement and the substrate, ensuring efficient stress transfer and enabling the system to reach its ultimate capacity without premature debonding. While research has focused on the bond performance of FRCM systems under pure shear loading and quasi-static, low strain rate conditions, the effects of mixed-mode loading and high strain rates representative …

Deep Learning For Computer Vision Applications In Medical Diagnostics And Wildlife Monitoring, Mostapha Al Saidi

Electronic Theses and Dissertations 2020 - Present

This dissertation explores innovative applications of deep learning and computer vision techniques across three distinct domains: medical imaging, dermatological diagnostics, and wildlife monitoring. The research addresses critical challenges in each field through the development and optimization of convolutional neural networks and other deep learning architectures.

The first study examines COVID-19 classification from X-ray images, comparing one-shot versus two-stage classification approaches using transfer learning with pre-trained models such as VGG16 and VGG19. The initial hypothesis was that breaking down the classification task into two optimized tasks would yield better results than one-shot classification. Results demonstrated that the single-stage approach achieved superior …

Comparing The Sensitivity And Specificity Of Novel Motor Assessments For Traumatic Brain Injury, Paula K. Johnson, Ariana M. Hedges-Muncy, Erin D. Bigler, Lorie Richards, Steven Knight Charles

Faculty Publications

Background: Portable technology that records movements with high accuracy provides potential for sensitive clinical movement tests for individuals who experienced a traumatic brain injury (TBI). Objective: (1)To present impairments assessed using markerless motion capture (MMC) and (2) to compare the sensitivity and specificity of the MMCmediated tests to each other and to common clinical tests. Design: Screening study, using as criterion standard the ability to classify participant with TBI versus control participant. Setting: Research laboratory. Participants: The study included 30 individuals with TBI and 101 control participants. Entry criteria included most recent head injury < 5 years old, no history of movement issues prior to injury, no movement-affecting medications, and sufficient cognitive ability to follow instructions. Interventions: Not applicable. Main Outcome Measures: Performance on MMC-mediated tests and existing clinical analogs. MMC-mediated tests included finger oscillation, simple reaction time, and visually guided movement tasks. For comparison, participants also completed the following clinical tests: Halstead–Reitan finger tapping, simple reaction time test, and Beery Visuomotor Integration test. Impairments were identified as test scores of participants with TBI that fell outside of the 95% interval of control participants’ test scores. Random forest analysis was used to calculate the sensitivity and specificity of MMC and clinical tests according to their ability to correctly classify participants with TBI and control participants. Results: MMC-mediated tests revealed impairments in more participants with TBI than clinical tests in all three TBI groups (mild, repeated, and moderate to severe). Similarly, MMC-mediated tests revealed a higher percentage of scores as impairments than clinical tests in all three groups with TBI. Furthermore, MMC-mediated tests proved more sensitive and more specific than clinical tests (70% versus 50% and 98% versus 93%, respectively). Conclusion: MMC-mediated tests are sensitive and specific (compared to traditional clinical tests) and have potential to fill a gap in clinical care of TBI.

Techno-Economic And Eco-Friendly Msw-Based Strategy To Reduce The Impact Of Rajshahi City Electric Vehicle Power Outage In Bangladesh, Shah Tanvir Alam Rimon, Md Shahriar Mohtasim, Md Golam Kibria, Mim Mashrur Ahmed, Barun K. Das

Research outputs 2022 to 2026

Population growth, economic expansion, urbanization, and evolving consumer habits are driving a significant increase in municipal solid waste generation, placing Bangladesh under immense societal pressure to manage and dispose of this waste effectively. Numerous studies have examined municipal solid waste management practices in Bangladesh, yet the potential for utilizing the generated energy to charge electric vehicles (EVs) remains unexplored. Therefore, in this study, waste-to-energy technologies such as landfill gas recovery (LGR), incineration (INC) and anaerobic digestion (AD) were assessed for energy recovery, economic feasibility, and global warming potential in Rajshahi City Corporation, Bangladesh, to meet the extra electricity demand imposed …

Methylene Blue Adsorption On Y-Zeolite As A Nano-Porous Adsorbent: Equilibrium And Kinetic Studies, Mehdi Narimani, Maryam Gonbadi, Mohammad Mahdi Zerafat

Research outputs 2022 to 2026

The elimination of dye pollutants from industrial wastewaters, notably from sectors such as textiles and dyeing, remains a pivotal aspect of pollution mitigation endeavours. This research introduces an innovative strategy employing Y zeolite as a nano-porous adsorbent for eliminating methylene blue (MB), a prevalent cationic dye. Y zeolite was synthesised via hydrothermal technique. Through methodical experimentation, the impact of temperature, contact time, concentration, pH and adsorbent quantity on removal efficiency were examined with optimal conditions achieving 93.83% MB removal. The synthesised Y zeolite underwent characterisation utilising diverse techniques, including SEM, TEM, XRD, BET, and FTIR, which elucidated the structural and …

3d Engineered Scaffolds Of Conjugated Polymers/Metal Organic Frameworks For Biomedical Applications, Amin Hosseini Sharifabad, Roham Ghanbari, Mohammad Reza Saeb, Ehsan Nazarzadeh Zare, Filippo Rossi, Mehdi Salami-Kalajahi, Pooyan Makvandi

Research outputs 2022 to 2026

The extracellular matrix can be replicated by 3D scaffolds, providing a favorable environment for cell growth, proliferation, and differentiation. Despite their biocompatibility, biodegradability, and bioactivity, the poor mechanical strength of 3D scaffolds limits their use for heavy loads. This creates a bottleneck in the supply of scaffolds with enhanced mechanical strength and all the previously mentioned characteristics. Conjugated polymers have emerged as a promising option for 3D scaffold construction due to their electrical conductivity, adjustable surface qualities, and ability to transfer bioactive molecules. Moreover, metal-organic frameworks (MOFs) are a rapidly emerging class of nanomaterials due to their uniform porosity, excellent …

Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI), exemplified by tools such as ChatGPT, has posed significant challenges and opportunities in the realm of academic integrity, particularly in engineering education. This commentary critically examines alternative strategies that go beyond traditional assessment security, aiming to uphold academic integrity while embracing the transformative potential of GenAI in teaching and learning. In the context of programs that rely on unit level outcomes to determine the overall student progression (not the programmatic approach to progression), this study identifies and explores four strategies that may offer potential improvements to assessment security: I-risk-level analysis, which aligns the mix of supervised …

Enhancing Trust In Ai For Healthcare: A Quantative Evaluation Of Explainable Methods In Clinical Decision Support Systems, Abdul Aziz Noor

Masters

The integration of Artificial Intelligence (AI) into healthcare has revolutionized Clinical Decision Support Systems (CDSS) by enabling sophisticated predictive capabilities. However, the opaque nature of many machine learning models, commonly referred to as "black-box" systems, poses significant challenges to their adoption in critical clinical settings where transparency, interpretability, and trust are paramount. This thesis addresses these challenges by developing a rigorous, mathematically grounded framework to evaluate Explainable AI (XAI) methods and enhance their integration into CDSS.

Trustworthiness And Trust: Identifying Factors That Drive Successful Human-Ai Interaction In Nuclear Power Plant Applications, Yusuke Yamani, Austin Jackson, Casey Kovesdi, Jeffrey Joe, Jeremy Mohon

Psychology Faculty Publications

Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly evolving and promising tools for efficient and continued safe operations of the U.S. nuclear power plants (NPPs). Emerging AI techniques like large language models (LLMs) are one such technology that may help personnel at existing NPPs perform work more efficiently. For example, operators may query the current operational status of a power plant via a chat interface, leveraging LLMs to access plant-related information in an interactive manner rather than manually collecting various sensor data for surveillance or work order tasks. This is a fundamental shift in the way …

Challenges And Perspectives On Photocatalytic Membrane Reactors For Volatile Organic Compounds Degradation And Nitrogen Oxides Treatment, Muhammad Hassnain, Muhammad Rizwan Azhar, Asad Ali, Muhammad Mubashir, Abdulrahman Abutaleb

Research outputs 2022 to 2026

Air pollution is a pressing environmental and public health issue, with volatile organic compounds (VOCs) and nitrogen oxides (NOx) being among the most hazardous airborne pollutants. Photocatalytic membrane reactors (PMRs) have emerged as a promising technology for air purification due to their ability to integrate photocatalytic degradation and membrane separation in a single system. This paper provides a comprehensive review of the advancements, challenges, and future prospects of PMR technology for VOC degradation and NOx treatment. Various photocatalytic membranes and their fabrication techniques, including material selection, structural modifications, and catalyst immobilization strategies, are critically analyzed. The study further explores different …

Autonomous Vehicle Platooning, Tony Abelson

McNair Summer Research Program

This research investigates the construction and performance optimization of two autonomous vehicles with using "Platooning," a strategy aimed at reducing fuel consumption and enhancing transportation efficiency. Platooning allows one vehicle to follow another closely, minimizing aerodynamic drag and improving fuel economy. This study addresses the growing need for sustainable transportation solutions in the context of increasing urbanization and environmental concerns, emphasizing the importance of efficient autonomous vehicle operation. The primary objectives of this research are to assemble autonomous vehicles from scratch and to optimize their performance in both individual and platoon operations. The methodology involves using Traxxas Slash chassis and …

The International Risk Governance Council: Reflections On A 20-Year Experiment In Support Of Improved Risk Governance, M. Granger Morgan, Marie-Valentine Florin, Igor Linkov, Kenneth A. Oye, Arthur C. Petersen, Ortwin Renn, Jonathan B. Wiener, Lan Xue

Faculty Scholarship

The International Risk Governance Council (IRGC) was a nonprofit foundation, based first as an independent, freestanding Swiss foundation in Geneva from 2003 to 2012, and then affiliated with École Polytechnique Fédérale de Lausanne in Lausanne from 2012 to 2023. IRGC's mission was to identify and improve the governance of emerging and systemic risks that have, or could have, impacts on human and environmental health, the economy and society, and overall sustainability. In this paper, we recount IRGC's history, describe its many reports, workshops, and conference activities (including tables referencing the many published products), and provide six brief case histories of …

Engineering Nanomaterials From Phase-Change Biological Materials Reacting With Carbon Dioxide, Qingyang Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

The current global situation concerning CO2 emissions is increasingly alarming, with rising concentrations of CO2 significantly worsening climate change and global warming. Atmospheric CO2 levels are now at their highest in millions of years, driving a host of catastrophic effects, including but not limited to extreme weather events, rising sea levels, ocean acidification, disrupted ecosystems, deteriorating air quality, respiratory health issues, heat-related illnesses, threats to food and water security, and escalating social and geopolitical tensions. To keep global warming to no more than 1.5°C higher than that of pre-industry – as called for in the Paris Agreement – emissions need …

Electro-Mechanical Behavior Of Core-Shell Carbon Grease-Silicone Fibers Fabricated Via Coaxial Direct Ink Writing, Fahrettin Kilic

Graduate Theses, Dissertations, and Problem Reports (ETD)

Highly stretchable strain sensors are essential components in soft electronics, enabling integration of sensing and signal transmission into deformable systems. This thesis explores the fabrication and characterization of coaxial core–shell fibers composed of a conductive carbon grease core and an elastomeric silicone shell. These fibers were produced using coaxial direct ink writing (DIW), a versatile additive manufacturing technique that allows continuous deposition of multi-material filaments. The goal was to achieve mechanically compliant yet electrically stable fibers capable of withstanding large deformations, suitable for applications in wearable electronics and soft robotics.
The printed fibers were systematically examined through mechanical tensile testing, …