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Articles 4681 - 4710 of 75067
Full-Text Articles in Engineering
Carboxymethyl Cellulose-Based Preformed Particle Gels For Water Management In Oil And Gas Reservoirs, Ahmed Ben Ali, Ahmed Hamza, Abdulaziz A. Almakimi, Mohammed Saad, Ibnelwaleed A. Hussein, Baojun Bai
Carboxymethyl Cellulose-Based Preformed Particle Gels For Water Management In Oil And Gas Reservoirs, Ahmed Ben Ali, Ahmed Hamza, Abdulaziz A. Almakimi, Mohammed Saad, Ibnelwaleed A. Hussein, Baojun Bai
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Carboxymethyl cellulose (CMC) based materials have been proposed as preformed particle gels (PPGs) for reducing excessive water production in oil and gas reservoirs. Multi-sized dry particles ranging between 100 and 1180 μm have been synthesized using microwave-assisted grafting copolymerization of CMC and acrylamide (AM)/n,n''-methylene-bisacrylamide (MBA). FTIR and SEM confirmed CMC crosslinked polyacrylamide's chemical structure and morphology (CMC/CPAM). Thermo-gravimetric analysis has demonstrated the thermal stability of dry PPGs up to 309 °C. CMC/CPAM showed slightly high absorbency in brine 2 (TDS = 67.3 g/L) compared to brine 1 (TDS = 33.65 g/L), 1% NaCl, and deionized water, with swelling ratios (SR) …
Sub-Surface Geospatial Intelligence In Carbon Capture, Utilization And Storage: A Machine Learning Approach For Offshore Storage Site Selection, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer
Sub-Surface Geospatial Intelligence In Carbon Capture, Utilization And Storage: A Machine Learning Approach For Offshore Storage Site Selection, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer
Research outputs 2022 to 2026
This study introduces an innovative data-driven and machine-learning framework designed to accurately predict site scores in the site screening study for specific offshore CO2 storage sites. The framework seamlessly integrates diverse sub-surface geospatial data sources with human aided expert-weighted criteria, thereby providing a high-resolution screening tool. Tailored to accommodate varying data accessibility and the significance of criteria, this approach considers both technical and non-technical factors. Its purpose is to facilitate the identification of priority locations for projects associated with Carbon Capture, Utilization, and Storage (CCUS). Through aggregating and analyzing geospatial datasets, the study employs machine learning algorithms and an expert-weighted …
High Mechanical Performance Of Lattice Structures Fabricated By Additive Manufacturing, Yuhua Li, Deyu Jiang, Rong Zhao, Xin Wang, Liqiang Wang, Lai Chang Zhang
High Mechanical Performance Of Lattice Structures Fabricated By Additive Manufacturing, Yuhua Li, Deyu Jiang, Rong Zhao, Xin Wang, Liqiang Wang, Lai Chang Zhang
Research outputs 2022 to 2026
Lattice structures show advantages in mechanical properties and energy absorption efficiency owing to their lightweight, high strength and adjustable geometry. This article reviews lattice structure classification, design and applications, especially those based on additive manufacturing (AM) technology. This article first introduces the basic concepts and classification of lattice structures, including the classification based on topological shapes, such as strut, surface, shell, hollow-strut, and so on, and the classification based on the deformation mechanism. Then, the design methods of lattice structure are analyzed in detail, including the design based on basic unit, mathematical algorithm and gradient structure. Next, the effects of …
An Overview Of Additively Manufactured Metal Matrix Composites: Preparation, Performance, And Challenge, Liang Yu Chen, Peng Qin, Lina Zhang, Lai Chang Zhang
An Overview Of Additively Manufactured Metal Matrix Composites: Preparation, Performance, And Challenge, Liang Yu Chen, Peng Qin, Lina Zhang, Lai Chang Zhang
Research outputs 2022 to 2026
Highlight Recent progresses in additive manufacturing on metal matrix composites are reviewed. Additive manufacturing technologies for metal matrix composites are summarized. The characteristics of feedstocks and reinforcements are introduced. Mechanical property of additively manufactured metal matrix composites is reviewed. Challenges of additively manufactured metal matrix composites are discussed.
Stability Of Two-Class Armour Berm Breakwaters: An Experimental Study, Mohammed Al-Ogaili, Amir Etemad-Shahidi, Nick Cartwright, Sigurdur Sigurdarson
Stability Of Two-Class Armour Berm Breakwaters: An Experimental Study, Mohammed Al-Ogaili, Amir Etemad-Shahidi, Nick Cartwright, Sigurdur Sigurdarson
Research outputs 2022 to 2026
The recession of a berm breakwater is a key parameter in ensuring its stability, and functionality, to protect coastal areas against wave impacts. Consequently, consideration of the expected recession in structural design is required to ensure the required objectives of the structure. In this study, physical model laboratory experiments were conducted to measure the recession of two-class armour berm breakwaters in response to varying sea state conditions (wave height, wave period, storm duration, and water depth at the structure's toe) and geometrical parameters (berm elevation from still water level, berm width, and rock size). A total of 110 tests were …
Operational And Design Factors In Air Staging And Their Effects On Fouling From Biomass Combustion, Akram Elsebaie, Mingming Zhu, Yasir M. Al-Abdeli
Operational And Design Factors In Air Staging And Their Effects On Fouling From Biomass Combustion, Akram Elsebaie, Mingming Zhu, Yasir M. Al-Abdeli
Research outputs 2022 to 2026
The global transition towards a carbon-neutral economy highlights the potential of biomass as a renewable fuel source. However, the sustainability of biomass energy systems is challenged by its complex fouling behaviours during combustion. This study investigates the impact of air staging on mitigating fouling in biomass combustion. By optimising the secondary-to-total air flowrate ratio (Qs/Qt) and the positioning of secondary air, this research investigates the impact of operational and design parameters on fouling deposits in biomass combustion. A fixed-bed combustor was used for the experiments, with hardwood pellets as fuel. This study employed TGA and SEM to analyse the fouling …
Production Of Lioh·H2o From Lithium Chloride By Electrodialysis And Crystallisation, Kwang Loon Ang, Maryam Barmi, Yasaman Boroumand, Amir Razmjou, Aleksandar N. Nikoloski
Production Of Lioh·H2o From Lithium Chloride By Electrodialysis And Crystallisation, Kwang Loon Ang, Maryam Barmi, Yasaman Boroumand, Amir Razmjou, Aleksandar N. Nikoloski
Research outputs 2022 to 2026
Laboratory bench scale experiments were performed to develop a process for electrodialysis (ED) of LiCl liquor from spodumene leaching and purification to produce LiOH solution, for subsequent conversion by evaporative crystallisation to LiOH·H2O crystals as the end-product. Nafion® 117 cation-selective membranes were used in all experiments. The small electrolytic test cell achieved an average LiOH production rate of 7.5 g/h with 83 % coulombic efficiency and specific electrical consumption of 6.5 kWh/kg LiOH. In the large electrolytic test cell, a higher average LiOH production rate of 11.2 g/h was attained but at lower coulombic efficiency (62 %) and greater specific …
Delivery Of Tgfβ3 From Magnetically Responsive Coaxial Fibers Reduces Spinal Cord Astrocyte Reactivity In Vitro, Jessica L. Funnell, Jasper Fougere, Diana Zahn, Silvio Dutz, Ryan J. Gilbert
Delivery Of Tgfβ3 From Magnetically Responsive Coaxial Fibers Reduces Spinal Cord Astrocyte Reactivity In Vitro, Jessica L. Funnell, Jasper Fougere, Diana Zahn, Silvio Dutz, Ryan J. Gilbert
Chemical and Biochemical Engineering Faculty Research & Creative Works
A spinal cord injury (SCI) compresses the spinal cord, killing neurons and glia at the injury site and resulting in prolonged inflammation and scarring that prevents regeneration. Astrocytes, the main glia in the spinal cord, become reactive following SCI and contribute to adverse outcomes. The anti-inflammatory cytokine transforming growth factor beta 3 (TGFβ3) has been shown to mitigate astrocyte reactivity; however, the effects of prolonged TGFβ3 exposure on reactive astrocyte phenotype have not yet been explored. This study investigates whether magnetic core-shell electro spun fibers can be used to alter the release rate of TGFβ3 using externally applied magnetic fields, …
Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine
Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine
Faculty Publications
The authors use historical information obtained from the Cost Assessment Data Enterprise to estimate recurring production unit cost for DoD avionics via cost estimating relationships (CERs). The specific modeled responses include mean unit cost, median unit cost, and the 100th production unit cost (T100) utilizing learning curve theory. For T100, the authors adopt both a multiplicative and an additive error for CER comparison. Recommended CERs consist of the mean unit cost and the T100 utilizing a multiplicative error. Moreover, results reveal that weight has a significant effect on cost as well as a potential underaccounting of real price change or …
Radiopaque Femnn-Mo Composite Drawn Filled Tubing Wires For Braided Absorbable Neurovascular Devices, Adam J. Griebel, Petra Maier, Henry D. Summers, Benjamin Clausius, Isabella Kanasty, Weilue He, Nicholas Peterson, Carolyn Czerniak, Alexander A. Oliver, David F. Kallmes, Ramanathan Kadirvel, Jeremy E. Schaffer, Roger J. Guillory
Radiopaque Femnn-Mo Composite Drawn Filled Tubing Wires For Braided Absorbable Neurovascular Devices, Adam J. Griebel, Petra Maier, Henry D. Summers, Benjamin Clausius, Isabella Kanasty, Weilue He, Nicholas Peterson, Carolyn Czerniak, Alexander A. Oliver, David F. Kallmes, Ramanathan Kadirvel, Jeremy E. Schaffer, Roger J. Guillory
Michigan Tech Publications
Flow diverter devices are small stents used to divert blood flow away from aneurysms in the brain, stagnating flow and inducing intra-aneurysmal thrombosis which in time will prevent aneurysm rupture. Current devices are formed from thin (∼25 μm) wires which will remain in place long after the aneurysm has been mitigated. As their continued presence could lead to secondary complications, an absorbable flow diverter which dissolves into the body after aneurysm occlusion is desirable. The absorbable metals investigated to date struggle to achieve the necessary combination of strength, elasticity, corrosion rate, fragmentation resistance, radiopacity, and biocompatibility. This work proposes and …
Final Report - Mixed Reality For Beyond Visual Line-Of-Sight Bridge Inspection Using Robot-Assisted Nondestructive Evaluation, Genda Chen, Joel Runji
Final Report - Mixed Reality For Beyond Visual Line-Of-Sight Bridge Inspection Using Robot-Assisted Nondestructive Evaluation, Genda Chen, Joel Runji
Project IM-5
To improve data consistency, work efficiency, inspector safety, and cost effectiveness during routine inspections, drones have been increasingly used in recent years to support imaging and scanning over the surface of various elements in a bridge for surface condition assessment. Most drones are operated manually within a visual line of sight and unable to inspect river-crossing bridges completely since not all elements can be viewed by a drone operator using a binocular. Even for autonomous drones with collision-avoidance features, physical interaction with a bridge for nondestructive evaluation (NDE) is currently impossible in practice. An alternative solution with robot-assisted remote nondestructive …
Final Report - Probability Of Detection In Corrosion Monitoring With Fe-C Coated Lpfg Sensors, Genda Chen, Ying Zhou, Pengfei Ma
Final Report - Probability Of Detection In Corrosion Monitoring With Fe-C Coated Lpfg Sensors, Genda Chen, Ying Zhou, Pengfei Ma
Project SN-8
This project aimed to develop and evaluate two statistical methods for determining the probability of detection (POD) in corrosion monitoring using Fe–C coated long-period fiber grating (LPFG) sensors. These methods, referred to as the Size-of-Damage-at-Detection (SODAD) method and the Random Parameter Model (RPM), addressed limitations in traditional POD models by considering the time dependency inherent in sensor data. The goal was to assess steel mass loss at 90% detection probability and establish the largest undetectable mass loss threshold at a 95% lower confidence bound. Both methods were assessed for computational efficiency, sensitivity to distribution assumptions, and robustness under varying model …
Final Report - Hyperspectral Imaging And Analysis For Steel Paint Condition Assessment, Hongyan Ma, Genda Chen, Pengfei Ma
Final Report - Hyperspectral Imaging And Analysis For Steel Paint Condition Assessment, Hongyan Ma, Genda Chen, Pengfei Ma
Project SN-9
This project aimed to understand the durability of multiple coating settings that had been widely used in highway bridges. Coatings can prevent their substrate from being contacted by aggressive particles and thus corrosion to preserve structural components. However, the wide selection of coatings for steel girders or truss can greatly impact the serviceability of bridges. This project studied four types of top-coat materials (epoxy, Alkyd, acrylic, and polyurethane) and two types of under-coat materials (epoxy and acyclic). The coatings were configured as two-layer and three-layer systems to evaluate their difference in durability. The degradation process of the coatings was monitored …
Final Report - Robot-Assisted Underwater Acoustic Imaging For Bridge Scour Inspection, Genda Chen, Peter Ogunjinmi, Son Nguyen
Final Report - Robot-Assisted Underwater Acoustic Imaging For Bridge Scour Inspection, Genda Chen, Peter Ogunjinmi, Son Nguyen
Project AS-8
This report details the development and testing of an innovative robotic system for underwater mapping and bridge scour inspection, integrating a 3D sonar with a modified remotely operated vehicle (ROV). The system addresses limitations in traditional scour monitoring methods, such as safety concerns and poor visibility after flooding. The research approach included laboratory experiments, pool testing, and field trials at two bridge sites in Missouri, with procedures developed for both water surface and underwater deployments. The system effectively mapped underwater structures and scour conditions, especially in hard-to-reach areas, revealing critical scouring, exposed pier footings and debris accumulation. The water surface …
Final Report - An Interactive System For Training And Assisting Bridge Inspectors In Inspection Video Data Analytics, Genda Chen, Ruwen Qin, Mohammad Hossein Afsharmovahed, Kevin Lai, Ritesh Sharma
Final Report - An Interactive System For Training And Assisting Bridge Inspectors In Inspection Video Data Analytics, Genda Chen, Ruwen Qin, Mohammad Hossein Afsharmovahed, Kevin Lai, Ritesh Sharma
Project WD-4
This project aims to develop an interactive, web-based system to assist bridge inspectors in machine learning and video analytics for a rapid condition state assessment of bridge elements in accordance with the 2019 Manual for Bridge Element Inspection. Referred to BridgeNet, the system includes region-based convolutional neural network (RCNN) models for bridge element and defect segmentation and an inspection video analytic tool that is integrated into a unified graphical user interface (GUI). It provides users with an image-based testbed of modulated RCNN models. The BridgeNet has evolved in four phases: (1) backend and frontend framework setups, (2) Mask-RCNN-based bridge segmentation, …
Final Report - Bridge Inspection Robot Deployment Systems (Birds), Genda Chen, Son Nguyen, Alec Reven, Bo Shang
Final Report - Bridge Inspection Robot Deployment Systems (Birds), Genda Chen, Son Nguyen, Alec Reven, Bo Shang
Project AS-4
This study aims to develop and evaluate Bridge Inspection Robot Deployment Systems (BIRDS) that support automated bridge inspection. BIRDS include uncrewed aerial vehicles (UAVs), structural crawlers, and/or their combination. A particular type of the BIRDS, which is a hybrid flying and traversing system called BridgeBot, is designed to aid in the inspection of steel and concrete girder bridges. BridgeBot has evolved in four prototypes (I-IV) for improved structural, mechanical, electronic, and control systems over the past five years. The first two prototypes built in Phases I and II were tested in laboratory to understand the feasibility of hybrid flying and …
Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park
Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The accuracy of single particle (SP) models for lithium-ion batteries at high C-rates is constrained by lithium concentration gradients in the electrolyte, which affect ionic conductivity, overpotential, and reaction rates. This study addresses these limitations using extreme gradient boosting machine learning (ML). By training our ML model with data from a comprehensive electrochemical (P2D) model and performing sensitivity analysis on key battery parameters, we enhance predictive accuracy. Compared to conventional SP and P2D models under constant current loading, our ML-based SP model achieves similar predictive accuracy to P2D, with significant improvements in computational efficiency. Additionally, the ML-based SP model demonstrates …
Atmospheric Waves Experiment (Awe) Advanced Mesopheric Temperature Mapper (Amtm) Optical System Design, Alignment, And Image Quality Verification, James Champagne, Roy Esplin, Tyrel Rupp, Greg Hopkins, Burt Lamborn, Erik Syrstad, Mike Holt, Matt Ralphs
Atmospheric Waves Experiment (Awe) Advanced Mesopheric Temperature Mapper (Amtm) Optical System Design, Alignment, And Image Quality Verification, James Champagne, Roy Esplin, Tyrel Rupp, Greg Hopkins, Burt Lamborn, Erik Syrstad, Mike Holt, Matt Ralphs
Space Dynamics Laboratory Publications
The AWE AMTM is a wide field-of-view (WFOV) infrared imaging radiometer designed for use in measuring the P1(2) and P1(4) emission lines of the earths OH layer. From these measurements, the atmospheric temperature is determined and finally images of gravity waves will be produced as the AWE field of view transverses the OH layer. Designed, built, and characterized by Utah State University (USU) and its Space Dynamics Laboratory (SDL), the sensor has been externally mounted to the International Space Station (ISS) looking nadir. Images will be collected and analyzed for a minimum of two years. The …
Self-Oxidation Of The Atmospheres Of Rocky Planets With Implications For The Origin Of Life, Anders Johansen, Eloi Camprubi, Elishevah Van Kooten, H. Jens Hoeijmakers
Self-Oxidation Of The Atmospheres Of Rocky Planets With Implications For The Origin Of Life, Anders Johansen, Eloi Camprubi, Elishevah Van Kooten, H. Jens Hoeijmakers
School of Integrative Biological & Chemical Sciences Faculty Publications
Rocky planets may acquire a primordial atmosphere by the outgassing of volatiles from their magma ocean. The distribution of O between H2O, CO, and CO2 in chemical equilibrium subsequently changes significantly with decreasing temperature. We consider here two chemical models: one where CH4 and NH3 are assumed to be irrevocably destroyed by photolysis and second where these molecules persist. In the first case, we show that CO cannot coexist with H2O, since CO oxidizes at low temperatures to form CO2 and H2. In both cases, H escapes from the thermosphere within a few 10 million years by absorption of stellar …
Conversion Of Fish Waste Oil Into Biofuel: An Experimental Study, Mahmoud A. Mohamed, Hany A. Elazab, Mamdouh A. Gadalla, Fatma A. Ashour
Conversion Of Fish Waste Oil Into Biofuel: An Experimental Study, Mahmoud A. Mohamed, Hany A. Elazab, Mamdouh A. Gadalla, Fatma A. Ashour
Chemical and Biochemical Engineering Faculty Research & Creative Works
Egypt is famous for its fish wealth, given its large coasts and freshwater resources, especially of Nile Tilapia and Mugilid fish. It was estimated that domestic fish production increased from 889 thousand tonnes in 2005 to 1620 thousand tonnes in 2016. Thousands of tonnes of fish are consumed yearly, generating substantial amounts of fish waste and residues. Some 26% of the fish consumed is a typical waste. Fish wastes have a significant role in many processes and applications. They are used as feedstock for producing fish meals, a major by-product of fish waste oil. Fish oil is extracted for medical …
Unveiling The Risks Of Speeding Behavior By Investigating The Dynamics Of Driver Injury Severity Through Advanced Analytics., Mouyid Islam, Parisa Hosseini, Anahita Kakhani, Mohammad Jalayer, Deep Patel
Unveiling The Risks Of Speeding Behavior By Investigating The Dynamics Of Driver Injury Severity Through Advanced Analytics., Mouyid Islam, Parisa Hosseini, Anahita Kakhani, Mohammad Jalayer, Deep Patel
Henry M. Rowan College of Engineering Departmental Research
Single-vehicle crashes, particularly those caused by speeding, result in a disproportionately high number of fatalities and serious injuries compared to other types of crashes involving passenger vehicles. This study aims to identify factors that contribute to driver injury severity in single-vehicle crashes using machine learning models and advanced econometric models, namely mixed logit with heterogeneity in means and variances. National Crash data from the Crash Report Sampling System (CRSS) managed by the National Highway Traffic Safety Administration (NHTSA) between 2016 and 2018 were utilized for this study. XGBoost and Random Forest models were employed to identify the most influential variables …
Nanopore Signal Deviations From Pseudouridine Modifications In Rna Are Sequence-Specific: Quantification Requires Dedicated Synthetic Controls, Amr Makhamreh, Sepideh Tavakoli, Ali Fallahi, Xinqi Kang, Howard Gamper, Mohammad Nabizadehmashhadtoroghi, Miten Jain, Ya-Ming Hou, Sara H Rouhanifard, Meni Wanunu
Nanopore Signal Deviations From Pseudouridine Modifications In Rna Are Sequence-Specific: Quantification Requires Dedicated Synthetic Controls, Amr Makhamreh, Sepideh Tavakoli, Ali Fallahi, Xinqi Kang, Howard Gamper, Mohammad Nabizadehmashhadtoroghi, Miten Jain, Ya-Ming Hou, Sara H Rouhanifard, Meni Wanunu
Department of Biochemistry and Molecular Biology Faculty Papers
Chemical modifications to mRNA respond dynamically to environmental cues and are important modulators of gene expression. Nanopore direct RNA sequencing has been applied for assessing the presence of pseudouridine (ψ) modifications through basecalling errors and signal analysis. These approaches strongly depend on the sequence context around the modification, and the occupancies derived from these measurements are not quantitative. In this work, we combine direct RNA sequencing of synthetic RNAs bearing site-specific modifications and supervised machine learning models (ModQuant) to achieve near-analytical, site-specific ψ quantification. Our models demonstrate that the ionic current signal features important for accurate ψ classification are sequence …
The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift
The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift
Publications and Research
The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities and career-focused degree programs in STEM departments. This article describes the design and implementation of coursework that bridges the curricular divides between humanities disciplines and technical or career-focused disciplines by bringing the humanities to bear on science and technology-oriented courses. Specifically, the humanities served to improve technical skills for students in …
Multi-Functional Gelatin-Dithiolane Hydrogels For Tissue Engineering, Saad Asim, Cody Tuftee, Asma Talib Qureshi, Rachel Callaghan, Moira L. Geary, Mithun Santra, Vaibhav Pal, Ilayda Namli, Gary Hin Fai Yam, Ibrahim T. Ozbolat, Muhammad Rizwan
Multi-Functional Gelatin-Dithiolane Hydrogels For Tissue Engineering, Saad Asim, Cody Tuftee, Asma Talib Qureshi, Rachel Callaghan, Moira L. Geary, Mithun Santra, Vaibhav Pal, Ilayda Namli, Gary Hin Fai Yam, Ibrahim T. Ozbolat, Muhammad Rizwan
Michigan Tech Publications
Biomaterials that integrate multiple functionalities, mimic the extracellular matrix (ECM) microenvironment to support cellular growth, and adhere robustly to damaged tissues are highly needed to advance tissue engineering. Protein-based biomaterials are promising due to their inherent biocompatibility, biomimicry, biodegradation, and cell-supportive properties. Herein, by leveraging the unique ability of dithiolanes to generate on-demand in situ thiols, a new class of dithiolane-modified, protein-based biomaterial that combines unique, seemingly opposing functions for tissue engineering is developed. Dithiolane-modified gelatin, a model protein used herein, enabled photoinitiator-free photo-crosslinking to form multi-functional gelatin-dithiolane (GelDT) hydrogels, which displayed exceptional long-term stability in cell culture media ( …
Fatigue-Resistant Mechanoresponsive Color-Changing Hydrogels For Vision-Based Tactile Robots, Jiabin Liu, Wei Li, Yu She, Sean Blanchard, Shaoting Lin
Fatigue-Resistant Mechanoresponsive Color-Changing Hydrogels For Vision-Based Tactile Robots, Jiabin Liu, Wei Li, Yu She, Sean Blanchard, Shaoting Lin
School of Industrial Engineering Faculty Publications
Mechanoresponsive color-changing materials that can reversibly and resiliently change color in response to mechanical deformation are highly desirable for diverse modern technologies in optics, sensors, and robots; however, such materials are rarely achieved. Here, a fatigue-resistant mechanoresponsive color-changing hydrogel (FMCH) is reported that exhibits reversible, resilient, and predictable color changes under mechanical stress. At its undeformed state, the FMCH remains dark under a circular polariscope; upon uniaxial stretching of up to six times its initial length, it gradually shifts its color from black, to gray, yellow, and purple. Unlike traditional mechanoresponsive color-changing materials, FMCH maintains its performance across various strain …
A Novel Model Of Autologous Tooth Transplantation For The Study Of Nerve Recruitment, Teresa E. Fowler, Doan T. Bloomquist, Caroline Glessner, Poonam Patel, Jeffrey N. James, Kathryn Bollinger, Lynnette P. Mccluskey, Ryan F. Bloomquist
A Novel Model Of Autologous Tooth Transplantation For The Study Of Nerve Recruitment, Teresa E. Fowler, Doan T. Bloomquist, Caroline Glessner, Poonam Patel, Jeffrey N. James, Kathryn Bollinger, Lynnette P. Mccluskey, Ryan F. Bloomquist
School of Dentistry Faculty Publications
Background: Limited treatment options exist for damaged nerves and despite impressive advances in tissue engineering, scientists and clinicians have yet to fully replicate nerve development and recruitment. Innervation is a critical feature for normal organ function. While most organs are innervated prior to birth, a rare example of postnatal nerve recruitment occurs in the natural development of secondary teeth during adolescence. Many animals undergo postnatal shedding of deciduous teeth with development and eruption of secondary teeth, a process requiring recruitment of nerve and vasculature to each tooth pulp for viability. Here, the investigators created a novel model for the study …
Rotational Machine Fault Diagnosis Using Artificial Intelligence (Ai) Strategies For The Operational Challenges Under Variable Speed Condition: A Review, S. Sowmya, M. Saimurugan, Immanuel A. Edinbarough
Rotational Machine Fault Diagnosis Using Artificial Intelligence (Ai) Strategies For The Operational Challenges Under Variable Speed Condition: A Review, S. Sowmya, M. Saimurugan, Immanuel A. Edinbarough
Informatics and Engineering Systems Faculty Publications
Rotational machines in industries often encounter uncertainties during operation, are monitored and diagnosed through machine condition monitoring. Particularly when speed varies, Artificial Intelligence (AI) provides a great deal of support in recognizing machine faults efficiently. This paper reviews various articles that focused on fault identification in industrial rotating machines under varying speed condition using AI techniques. It investigates various machinery faults, experimental datasets and reputed institutions datasets, complex signals from faulty components and their processing method. Further, the involvement of intelligent based techniques in extracting and selecting suitable features to classify defects are comprehensively reviewed. In addition, as multi-signal fusion …
Experimental Examination Of Enhanced Nanoceramic-Based Self-Cleaning Sprays For High-Efficiency Hydrophobic Photovoltaic Panels, Iman El-Mahallawi, Merna Abdrabo, Ahmed Elkaseer Prof., Engy Elshazly, Mohamed S. El-Deab
Experimental Examination Of Enhanced Nanoceramic-Based Self-Cleaning Sprays For High-Efficiency Hydrophobic Photovoltaic Panels, Iman El-Mahallawi, Merna Abdrabo, Ahmed Elkaseer Prof., Engy Elshazly, Mohamed S. El-Deab
Renewable Mechanical Energy
Dust deposition poses a significant challenge in the implementation of photovoltaic panels (PV) especially in hot and dusty environments, such as the Middle East and North Africa (MENA) region. This issue leads to progressive degradation of PV efficiency and output power. In this context, this research work aims to improve PV performance by developing self-cleaning sprays as a preventative solution. Different concentrations of SnO2 and TiO2 nanoceramics were dispersed in isopropyl alcohol solvent to reduce the mixture’s viscosity and facilitate smooth spraying on solar panels, whose efficiency was continually assessed in outdoor conditions. Although less commonly used for this application, …
Targeted Weed Management Of Palmer Amaranth Using Robotics And Deep Learning (Yolov7), Amlan Balabantaray, Shaswati Behera, Cheetown Liew, Nipuna Chamara, Mandeep Singh, Amit J. Jhala, Santosh Pitla
Targeted Weed Management Of Palmer Amaranth Using Robotics And Deep Learning (Yolov7), Amlan Balabantaray, Shaswati Behera, Cheetown Liew, Nipuna Chamara, Mandeep Singh, Amit J. Jhala, Santosh Pitla
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Effective weed management is a significant challenge in agronomic crops which necessitates innovative solutions to reduce negative environmental impacts and minimize crop damage. Traditional methods often rely on indiscriminate herbicide application, which lacks precision and sustainability. To address this critical need, this study demonstrated an AI-enabled robotic system, Weeding robot, designed for targeted weed management. Palmer amaranth (Amaranthus palmeri S. Watson) was selected as it is the most troublesome weed in Nebraska. We developed the full stack (vision, hardware, software, robotic platform, and AI model) for precision spraying using YOLOv7, a state-of-the-art object detection deep learning technique. The …
Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator And Microvascular Fragments Promotes The Healing Of Deep Burn Wounds, Yan Lu, Shanchun Su, Chih Chang Chu, Yuichi Kobayashi, Abdul Razak Masoud, Hongying Peng, Nathan Lien, Mingyu He, Christopher Vuong, Ryan Tran, Song Hong
Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator And Microvascular Fragments Promotes The Healing Of Deep Burn Wounds, Yan Lu, Shanchun Su, Chih Chang Chu, Yuichi Kobayashi, Abdul Razak Masoud, Hongying Peng, Nathan Lien, Mingyu He, Christopher Vuong, Ryan Tran, Song Hong
School of Medicine Faculty Publications
Pro-regenerative lipid mediator 1 (PreM1) is a specialized pro-resolving lipid mediator that promotes wound healing and regenerative functions of mesenchymal stem cells (MSCs), endothelial cells, and macrophages. The healing of third-degree (3°) burns and regenerative functions of MSCs are enhanced by ACgel1, an arginine-and-chitosan-based protein-mimic hybrid hydrogel. Adipose-tissue derived microvascular fragments (MVFs) are native vascularization units and a rich source of MSCs, endothelial cells, and perivascular cells for tissue regeneration. Here we describe an innovative PreM1-MVFs-ACgel1 construct that incorporated PreM1 and MVFs into ACgel1 via optimal design and fabrication. This construct delivered PreM1 to 3°-burn wounds at least up to …