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Articles 1471 - 1500 of 34113
Full-Text Articles in Entire DC Network
Effect Of Growth Conditions On The Performance Of Vertically Conducting Beta-Ga2o3 Diodes On 4h-Sic Substrate By Mocvd, Nifat Jahan Nipa
Effect Of Growth Conditions On The Performance Of Vertically Conducting Beta-Ga2o3 Diodes On 4h-Sic Substrate By Mocvd, Nifat Jahan Nipa
Theses and Dissertations
This thesis highlights the critical influence of doping strategies, specifically co-delta doping with silicon (Si) and indium (In), on improving the structural quality and device performance of β-Ga₂O₃-based Schottky barrier diodes (SBDs). To achieve better thermal management, β-Ga₂O₃ thin film was grown on bulk 4H-SiC substrates using the Metal-Organic Chemical Vapor Deposition (MOCVD) technique, renowned for its precise control over composition, thickness and doping profile. The ultra-wide bandgap (UWBG), high critical breakdown field and low turn-on resistance of β-Ga₂O₃ make it a strong candidate for next-generation power electronics and short-wavelength detection in extreme environments. However, the presence of structural defects …
Characterizing The Relationships Between Cranial Geometry, Brain Morphometry, And Brain Mechanical Properties Using Mr Imaging And Elastography, Jessica Restivo
Characterizing The Relationships Between Cranial Geometry, Brain Morphometry, And Brain Mechanical Properties Using Mr Imaging And Elastography, Jessica Restivo
Theses and Dissertations
Traumatic brain injury (TBI) is a global health concern, with over 69 million cases annually. TBI risk depends on subject-specific neuroanatomical variation, yet research often only considers generic finite element (FE) models, based on the geometry and material composition of a 50th percentile male head. Although highly accurate, subject-specific models require expensive magnetic resonance (MR) imaging, elastography, and time-consuming computational resources. There is a need to create subject-specific TBI models that account for subject-specific variations, without neuroimaging. This study aims to create mathematical models to predict brain morphometry (dimensions, volume) [Objective 1] and mechanical properties (shear stiffness, damping ratio, octahedral …
Cell-Free Protein Synthesis Reactor Formats: A Brief History And Analysis, Dallin M. Chipman, Anna C. Woolley, Davu N. Chau, William A. Lance, Joseph P. Talley, Tyler P. Green, Benjamin C. Robbins, Bradley Charles Bundy
Cell-Free Protein Synthesis Reactor Formats: A Brief History And Analysis, Dallin M. Chipman, Anna C. Woolley, Davu N. Chau, William A. Lance, Joseph P. Talley, Tyler P. Green, Benjamin C. Robbins, Bradley Charles Bundy
Faculty Publications
Cell-free protein synthesis (CFPS) has transformed protein production capabilities by eliminating cellular constraints, enabling the rapid expression of difficult-to-produce proteins in an open, customizable environment. As CFPS applications expand from fundamental research to industrial production, therapeutic manufacturing, and point-of-care diagnostics, the diverse array of reactor formats has become increasingly important yet challenging to navigate. This review examines the evolution and characteristics of thirteen major CFPS reactor formats, from traditional batch systems to advanced platforms. The historical development of CFPS reactors from the 1960s to present day is presented. Additionally, for each format, operational principles, advantages, limitations, and notable applications are …
Advances In Noninvasive Imaging For Detecting Radiation-Induced Lung Injury (Rili), Austen Nissen, Said H. Audi, Anne V. Clough, Brian Fish, Amit Joshi, Meetha Medhora, Jason Walter Sidabras, Heather A. Himburg
Advances In Noninvasive Imaging For Detecting Radiation-Induced Lung Injury (Rili), Austen Nissen, Said H. Audi, Anne V. Clough, Brian Fish, Amit Joshi, Meetha Medhora, Jason Walter Sidabras, Heather A. Himburg
Biomedical Engineering Faculty Research and Publications
Purpose: Dr. Richard Hill performed pioneering work in the field of radiation-induced normal tissue injury to the lung including noninvasive imaging studies aimed at identifying imaging biomarkers of radiation-induced lung injury (RILI). RILI is a life-threatening toxicity of radiation exposure relevant to both cancer patients undergoing thoracic radiation therapy (RT) and victims of accidental radiation exposure. The ability to detect RILI noninvasively has the potential to guide treatment planning for RT and, in the case of victims of acute radiation exposures, inform the decision to start mitigative therapies. As part of this special issue of IJRB honoring Dr. Hill’s many …
A Comparative Study Of The Pullout Strength Of Geostraps And Geogrids In Reinforced Soil, Kshitij Gaur, Ashutosh Trivedi, Sanjay Kumar Shukla
A Comparative Study Of The Pullout Strength Of Geostraps And Geogrids In Reinforced Soil, Kshitij Gaur, Ashutosh Trivedi, Sanjay Kumar Shukla
Research outputs 2022 to 2026
The sustainable development of geotechnical infrastructure necessitates using durable, efficient, and environmentally resilient reinforcement materials. This study investigates the pullout performance of geostraps to assess their potential as a sustainable alternative to conventional geosynthetics. This study focuses on the pullout performance of geostraps, flexible, polymeric reinforcement materials. There has not been a thorough study of their pullout resistance, which directly affects the stability and durability of reinforced soil structures. Pullout tests were conducted on sandy soil in a controlled environment. The experimental findings from the pullout test were then validated in a numerical model. The model was used to determine …
Incorporating Waste Plastics Into Pavement Materials: A Review Of Opportunities, Risks, Environmental Implications, And Monitoring Strategies, Ali Ghodrati, Nuha S. Mashaan, Themelina Paraskeva
Incorporating Waste Plastics Into Pavement Materials: A Review Of Opportunities, Risks, Environmental Implications, And Monitoring Strategies, Ali Ghodrati, Nuha S. Mashaan, Themelina Paraskeva
Research outputs 2022 to 2026
The integration of waste plastics into pavement materials offers a dual benefit of enhancing road performance and mitigating the environmental burden of plastic waste. This review critically examines the opportunities and challenges associated with incorporating waste plastics in pavement construction, with an emphasis on their impact on the mechanical properties, durability, and life cycle performance of pavements. Special attention is given to the environmental implications, particularly the potential generation and release of micro- and nano-plastics during the pavement life cycle. This paper further evaluates current monitoring and analytical methodologies for detecting plastic emissions from road surfaces and explores emerging approaches …
Conservation Management Effects On Soil And Agronomic Properties In A Furrow-Irrigated Corn System In East-Central Arkansas, Jeferson P. Pimentel, Christopher G. Henry, Kris R. Brye, Benjamin R. Runkle, Amanda J. Ashworth, Edgar Mersiovsky, Kevin C. Thompson
Conservation Management Effects On Soil And Agronomic Properties In A Furrow-Irrigated Corn System In East-Central Arkansas, Jeferson P. Pimentel, Christopher G. Henry, Kris R. Brye, Benjamin R. Runkle, Amanda J. Ashworth, Edgar Mersiovsky, Kevin C. Thompson
Biological and Agricultural Engineering Faculty Publications and Presentations
Cover crops can improve soil physical properties and help to sustain agricultural crop yields. A 6-year study conducted from 2017 to 2022 examined the effects of conservation soil management practices in a furrow-irrigated continuous corn (Zea mays L.) system on a silt-loam soil (Typic Albaqualf) in the Lower Mississippi River Delta region of eastern Arkansas. This study compared the effects of conventional tillage (CT), no-tillage (NT), and no-tillage with cover crops (CC) in selected soil physical and chemical properties (i.e., soil bulk density (D b), porosity (& fnof;t), field capacity (Theta FC), Permanent wilting point (Theta PWP), Plant available water …
Characterization Of Lactobacilli-Containing Catheter Segments Developed By Using Selective Laser Sintered Mold., Caden Maners
Characterization Of Lactobacilli-Containing Catheter Segments Developed By Using Selective Laser Sintered Mold., Caden Maners
Master of Engineering Theses
Catheter-associated urinary tract infections (CAUTIs) are a major healthcare burden with current prevention strategies offering limited success. This study presents a novel, self-coating biomaterial approach using a silicone-based bioink embedded with thermally sensitive probiotic strains (L. crispatus, L. rhamnosus, and L. reuteri). Catheter segments were fabricated via bio-injection molding using 3D-printed CAD molds. These Lactobacilli, selected for their probiotic and antimicrobial potential, serve as a non- antibiotic strategy to reduce infection risk. These segments were evaluated for mechanical strength (Shore A hardness), thermal stability (TGA/DSC), porosity and bacterial presence (SEM), biofilm formation (crystal-violet assay), as well as mass retention in …
Phytochemical Analysis And Antimicrobial Activity Of Micromeria Barbata Leaf And Stem Extracts Against Pseudomonas Aeruginosa: Insights From Molecular Docking And In Vitro Assays, Shiraz Rawas, Dalia El-Badan, Nawal Al Hakawati
Phytochemical Analysis And Antimicrobial Activity Of Micromeria Barbata Leaf And Stem Extracts Against Pseudomonas Aeruginosa: Insights From Molecular Docking And In Vitro Assays, Shiraz Rawas, Dalia El-Badan, Nawal Al Hakawati
BAU Journal - Science and Technology
The present study provides the characterization of the phytochemical content and the antibacterial activity of ethanolic extracts from the leaves (LM) and stems (SM) of Micromeria barbata (M.barbata) against Pseudomonas aeruginosa . Important functional groups were determined by analyzing the FTIR spectra of LM and SM. The phytochemical profiles were analyzed by GC-MS, and these characterized the chemicals according to retention periods and peak regions. The binding affinities of discovered compounds with the P. aeruginosa LasR and PqsD proteins were evaluated using molecular docking approach. Assays for biofilm formation, MIC, MBC, and agar well diffusion were used to assess the …
Nature-Based Solutions For Urban Stormwater Management, Nima Zafarmomen, Vidya Samadi, Susan Lunt
Nature-Based Solutions For Urban Stormwater Management, Nima Zafarmomen, Vidya Samadi, Susan Lunt
Forestry and Natural Resources
This paper explores Nature-based Solutions (NbS) for urban stormwater management, emphasizing their role in mitigating runoff, reducing flood risks, and improving water quality. Bioretention systems (BRS), green roofs, permeable pavements, and vegetated swales utilize natural processes such as infiltration, evapotranspiration, and filtration to manage stormwater while promoting urban resilience and supporting biodiversity effectively. The performance of these solutions depends on vegetation, soil, and climatic parameters, highlighting the need for context-specific design and implementation. While NbS present sustainable alternatives to conventional infrastructure, technical, economic, social, and institutional challenges require interdisciplinary collaboration and supportive policies to unlock their full potential.
Effect Of Sorbitol Plasticizer On Bioplastics Properties Based On Oil Palm Empty Fruit Bunches (Opefb) And Jackfruit Seed Starch, Nia Sasria, Vita Nur Afifah, Gusti Umindya Nur Tajalla
Effect Of Sorbitol Plasticizer On Bioplastics Properties Based On Oil Palm Empty Fruit Bunches (Opefb) And Jackfruit Seed Starch, Nia Sasria, Vita Nur Afifah, Gusti Umindya Nur Tajalla
Makara Journal of Science
In bioplastics, natural materials that are easily decomposed are used to minimize plastic waste. In this research, the compositions used were cellulose from oil palm empty fruit bunches (OPEFB), jackfruit seed starch, and carboxymethyl cellulose (CMC) as a filler with sorbitol as a plasticizer. This study aimed to analyze the effect of a sorbitol plasticizer on bioplastic properties. The study began by extracting jackfruit seed starch and OPEFB cellulose. Subsequently, bioplastics were prepared by varying sorbitol, namely 0 (S – 0), 0.5 mL (S – 0.5), 1 mL (S – 1), and 1.5 ml (S – 1.5), with CMC 20%. …
A Smart System For Detecting Anatomic And Histological Symptoms Of Diseased Agricultural Plants, Rustam Baratov, Himola Sunnatillayeva, Alimardon Mamatovich Mustafoqulov
A Smart System For Detecting Anatomic And Histological Symptoms Of Diseased Agricultural Plants, Rustam Baratov, Himola Sunnatillayeva, Alimardon Mamatovich Mustafoqulov
Chemical Technology, Control and Management
This study describes a novel agricultural plant disease detecting smart system, capable of handling measured plant body parameters and images received by high resolution camera at the same time. The proposed plant disease detection method is based on evaluation of the signals received by measured and controlled plant body physical parameters like resistance, temperature and capacitance of the plant stem and image processing. An analogue plant model based on an electrical circuit with distributed parameters was developed. In addition, in the article the block diagram of the smart system for the early detection of plant diseases, the circuit diagram, its …
Development And Experimental Validation Of A Non-Invasive Blood Group Detection System, Nurath K. Nurudini
Development And Experimental Validation Of A Non-Invasive Blood Group Detection System, Nurath K. Nurudini
Tanzania Journal of Engineering and Technology (TJET)
An individual's blood group consists of red blood cell antigens whose composition is determined by protein presence, antigen structure, and gene series. Persons aged above six months have significant anti-A and/or anti-B in their serum. During transplantation and transfusion, ABO blood group identification is the most essential factor. The conventional method involves drawing blood samples from patients, and the blood group is determined based on the antigen-antibody reaction. This method consists of adding chemical reagents. However, this requires time of operation, and throughput analysis is high, and the process is also challenging to interpret. Accurate and rapid identification of blood …
Design And Control Of A Versatile Modular Soft Robotic System With Integrated Resource Sharing And Self-Reconfiguration Capabilities, Joshua Knospler
Design And Control Of A Versatile Modular Soft Robotic System With Integrated Resource Sharing And Self-Reconfiguration Capabilities, Joshua Knospler
Theses and Dissertations
Modular, self‑reconfigurable soft robots promise unprecedented versatility by combining the compliance of soft materials with the adaptability of modular architectures. This thesis presents an integrated system of pneumatic, bending-type soft actuator modules. Modules are compact and fully equipped with tunable magnetic and electromechanical connections for low‑power attachment and detachment and a novel power-air-communication (PAC) connector for seamless sharing of electricity, compressed air, and digital signals. This work examines two representative assemblies: ManusBot, a pinching gripper, and TendrilBot, a versatile linear configuration for various tasks. Their grasping performance, variable stiffness, and radial support capabilities are characterized. A magnetic interlock and an …
Monitoring And Mitigation Of Per- And Polyfluoroalkyl Substances (Pfas) In Urban Stormwater Runoff, Mustafizur Rahaman
Monitoring And Mitigation Of Per- And Polyfluoroalkyl Substances (Pfas) In Urban Stormwater Runoff, Mustafizur Rahaman
Theses and Dissertations
Per- and polyfluoroalkyl substances (PFAS) are emerging contaminants known for their persistence with widespread environmental and health concerns. Urban stormwater runoff could be a non-point pollution source that transports PFAS to receiving water bodies. This study analyzed types and concentrations of PFAS in stormwater runoff from Trenton and Glassboro, New Jersey, with samples collected from high- and low-traffic areas during precipitation events in February, June, July, and August 2024. Significantly higher concentrations of PFAS were identified in high-traffic areas than low-traffic areas (p< 0.05) in both cities for most sampling events, confirming the role of traffic in PFAS dispersal. To address PFAS contamination in stormwater runoff, this study evaluated the removal of six U.S. Environmental Protection Agency (USEPA)-regulated PFAS compounds from synthetic stormwater runoff using aluminum-based water treatment residuals (Al-WTRs, by-products of the drinking water treatment process). The findings demonstrated that Al-WTRs exhibited high sorption capacities and low desorption rates for PFAS, particularly for long-chain PFAS compounds such as perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), supporting their potential as an economical and effective sorbent for stormwater PFAS management. Furthermore, the durability and sustained performance of Al-WTRs indicated their feasibility for future field-scale applications.
Predicting The Influence Of Aggregate Size And Distribution On Cementitious Concrete Properties: A Review, Innocent J. Macha
Predicting The Influence Of Aggregate Size And Distribution On Cementitious Concrete Properties: A Review, Innocent J. Macha
Tanzania Journal of Engineering and Technology (TJET)
Cement concrete has been in use for centuries as one of the primary construction materials. Its demand in the construction industry is expected to continue for several centuries before the full development of alternative products. However, one of the main areas of research interest is understanding how its constituents can be tailored to make its properties predictable to reduce risks associated with structural failures, reconstruction and reduced durability. These hindrances associated with cementitious concrete result from several attributes, including constituent material characteristics, mixing ratios and workmanship. Understanding the predictability of cement concrete properties requires computer modelling tools to provide reliable …
Optimizing The Processing Temperature For Synthesis Of Silver Nanoparticles Within Cellulose-Wool Keratin Supramolecular Matrix Using Butylmethylimmidazolium Chloride Ionic Liquid, Ngesa E. Mushi
Tanzania Journal of Engineering and Technology (TJET)
To date, the synthesis of silver nanoparticles on the surface of cellulose and wool keratin biopolymer, while dissolved in ionic liquid, is attractive because of its biomedical potential. However, the optimal processing temperature for the nanoparticle formation is unclear. The previously reported temperature of approximately 120°C gives unpredictable results. The current study employs a combination of 50% cellulose and 50% keratin, along with 69 mg of silver chloride, in Butylmethylimidazolium Chloride BMImCl ionic liquid, using a single-pot process to produce a supramolecular film via non-derivatized mechanochemical interactions. The primary objective is to experimentally establish the processing temperature to achieve stable …
Feedback Parameters For A Closed-Loop Multiple-Input Multiple-Output Model Of The Upper Limb, Ian Syndergaard, Daniel B. Free, Dario Farina, Steven Knight Charles
Feedback Parameters For A Closed-Loop Multiple-Input Multiple-Output Model Of The Upper Limb, Ian Syndergaard, Daniel B. Free, Dario Farina, Steven Knight Charles
Faculty Publications
Both closed-loop models and multi-input multi-output (MIMO) models of the neuromusculoskeletal system of the upper limb are important for simulating and understanding motor control. Yet no large-scale linear neuromusculoskeletal models of the upper limb that are both closed-loop and MIMO have been developed. The primary difficulty in creating such models is choosing appropriate feedback parameters (such as feedback gains and delays), as such a collection of parameters is not available in the literature. The purpose of this work is to 1) present a method for developing MIMO models of short-loop afferent feedback and 2) offer estimates of average feedback parameter …
Magnetic Nanoparticles: Synthesis And Applications In Life Sciences, Kishore Chand, Erick Salvador Vasquez
Magnetic Nanoparticles: Synthesis And Applications In Life Sciences, Kishore Chand, Erick Salvador Vasquez
Chemical and Materials Engineering Faculty Publications
Magnetic nanoparticles (MNPs) are multifunctional materials with superparamagnetic properties and tunable surface chemistries, making them valuable across diverse fields, such as biomedicine, environmental remediation, and agriculture. This review examines recent advancements in MNP synthesis, encompassing chemical, physical, and environmentally friendly methods while highlighting improvements in size, morphology, and composition control that enhance application-specific performance and environmental sustainability. The review discusses various architectures, including single-core, core–shell, hybrid composites, and stimuli–responsive systems, with an emphasis on their stability, scalability, and functionalization potential. In biomedical applications, MNPs show promise in targeted drug delivery, magnetic hyperthermia, and magnetic resonance imaging contrast enhancement, where biocompatibility, …
Carbon Efficiency Of Natural Organic Honey-Memristor Based Neuromorphic Computing, Harshvardhan Uppaluru, Zoe Templin, Shah Zayed Riam, Feng Zhao, Jinhui Wang
Carbon Efficiency Of Natural Organic Honey-Memristor Based Neuromorphic Computing, Harshvardhan Uppaluru, Zoe Templin, Shah Zayed Riam, Feng Zhao, Jinhui Wang
Electrical and Computer Engineering Faculty Research & Creative Works
Natural organic memristors manufactured using honey have exhibited promising synaptic behavior, offering notable advantages such as environmental sustainability, low production and disposal costs, non-volatile storage capabilities, and bio/CMOS compatibility. In this paper, experimental evaluations of honey-memristor based neuromorphic systems are reported with a focus on estimating their carbon footprint. First, manufacturing and testing of honey-memristors is briefly described. To suppress variations and improve accuracy, an optimization technique - parallel memristors is applied. Experimental results indicate that this optimization method significantly improves the device performance of up to. However, it also leads to higher energy consumption and a higher carbon footprint …
Pm Irras Studies Of Organized Molecular Films At A Gold Electrode Surface, Zhang-Fei Su, Ai-Cheng Chen, Jacek Lipkowski
Pm Irras Studies Of Organized Molecular Films At A Gold Electrode Surface, Zhang-Fei Su, Ai-Cheng Chen, Jacek Lipkowski
Journal of Electrochemistry
This feature article illustrates the potential of polarization modulation infrared reflection absorption spectroscopy (PM IRRAS) to provide molecular-level information about the structure, orientation and conformation of constituents of thin films at electrode surfaces. PM IRRAS relies on the surface selection rules stating that the p-polarized IR beam is enhanced, while the s-polarized beam is attenuated at the metal surface. The difference between p- and s-polarized beams eliminates the background of the solvent and provides IR spectra at a single electrode potential. In contrast, two other popular in situ IR spectroscopic techniques, namely, subtractively normalized interfacial Fourier transform infrared spectroscopy (SNIFTIRS) …
Development Of Biodegradable Mg-1zn-0.5sc Alloy & Surface Treatment Through Laser Shock Peening And Evaluation Of Microstructure & Property Correlation For Orthopedic Implants, Parameshwari R
Theses and Dissertations
Magnesium (Mg) and its alloys are of much interest as promising third-generation bio-materials for bone implant applications; however, challenges remain for the alloy's mechanical integrity and bio-corrosion behaviour. Therefore, appropriate alloying elements and surface-modification techniques are required to overcome these limitations. Zinc (Zn) and Scandium (Sc) elements were found to have good biocompatibility and biodegradability; hence, they were selected as suitable alloying elements for magnesium.
This research work aims to enhance the mechanical integrity and bio-corrosion resistance behaviour of a novel Mg-1wt% Zn-0.5wt% Sc cast alloy by laser shock peening surface treatment with multiple passes (LSP-2 Pass and LSP-3 Pass). …
Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar
Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar
Journal of Engineering Research
The COVID-19 pandemic has highlighted the need for fast, non-invasive, and cost-effective diagnostic tools. Cough sounds, as a prominent symptom of respiratory diseases, present a promising modality for automated COVID-19 detection. In this study, we propose a novel multi-modal deep learning framework for COVID-19 detection that leverages cough sounds and patient-specific medical information. Our approach extracts two types of acoustic features—Mel-Frequency Cepstral Coefficients (MFCCs) and Mel spectrograms—and integrates them with clinical metadata to improve diagnostic ac-curacy. The MFCC branch employs 1D convolutional layers followed by Efficient Channel Attention mechanism. The Mel spectrogram branch utilizes ResNet-50 combined with ECA to capture …
Evaluation Of Machine And Deep Learning Models For Predicting Water Distillate Rate, Ghada Hamisa
Evaluation Of Machine And Deep Learning Models For Predicting Water Distillate Rate, Ghada Hamisa
Journal of Engineering Research
Freshwater scarcity has become a critical global challenge due to rapid population growth and environmental pollution caused by industrial and urban expansion. Solar stills offer a sustainable solution by desalinating impure water using solar energy, making them valuable for domestic, industrial, and academic applications. However, traditional methods for optimizing solar still performance face significant limitations, including time-consuming experimental data collection, computational inaccuracies, and high development costs. To address these challenges, this study leverages machine learning (ML) and deep learning (DL) techniques to predict the distilled water production rate of solar stills before physical construction or modification. A heat pump solar …
Preparation Of Nano-Sized Silver Particles By Electrolysis From Silver-Containing Electrical Scrap, Umar A. Yakhyaev, Mastura Kh. Aripova, Ripsime V. Mkrtchyan, Dilrabo A. Mukhtorova
Preparation Of Nano-Sized Silver Particles By Electrolysis From Silver-Containing Electrical Scrap, Umar A. Yakhyaev, Mastura Kh. Aripova, Ripsime V. Mkrtchyan, Dilrabo A. Mukhtorova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of the study was preparation of nanosized silver particles by electrolysis from silver-containing scrap from electrical engineering production. For this purpose, at the first stage, silver particles with a size of 0.2–2 microns were obtained by the cementation method, confirmed by the results of scanning electron microscopy. A silver anode for the electrolysis unit was created from the obtained silver particles by the melting method. At the second stage, electrolysis was carried out on a unit with rotating electrodes, in which the cathode was made of platinum. Optimum conditions for the electrolysis process, carried out at a voltage …
Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi
Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi
USF Tampa Graduate Theses and Dissertations
Corrosion remains a significant threat to civil infrastructure, resulting in costly repairsand potential structural failures. This dissertation addresses three critical aspects of corrosion: mitigation and monitoring of post-tensioned bridge tendons, and failure forecasting of wastewater force mains due to internal corrosion.
First, the research investigates the effectiveness of corrosion inhibitors (CIs) applied via pressure injection (impregnation) in post-tensioned tendons. The protective mechanisms and long-term performance of various inhibitors were evaluated to identify the most effective formulations. Among the tested inhibitors, MCI-2020 — a water-based, migratory, mixed-type corrosion inhibitor — demonstrated the most promising results, showing excellent corrosion protection while preserving …
Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi
Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi
USF Tampa Graduate Theses and Dissertations
This dissertation addresses the challenges of stochastic analysis of safety-critical systems with biological components, where unexpected behavior can lead to catastrophic events. Two fundamental challenges hinder the analysis of such systems: their typically large or infinite state spaces, and the extreme rarity of error states of interest. While Monte Carlo simulation can analyze biochemical systems without storing the state space, accurately estimating rare event probabilities becomes computationally prohibitive. Conversely, probabilistic model checking excels at analyzing extremely low probability events but becomes impractical for systems with large or infinite state spaces due to memory constraints.This work proposes two main contributions to …
Colloidal Hot-Injection Synthesis Of Cubse2 Nanocrystals: Tetragonal Chalcogenide Templates For Superionic Lithiation Pathways, Yunhao Xu, Niket Powar, Kelly Zervos, Isabella Campbell, Simran Choudhary, Layan Al-Khaled, Progna Banerjee
Colloidal Hot-Injection Synthesis Of Cubse2 Nanocrystals: Tetragonal Chalcogenide Templates For Superionic Lithiation Pathways, Yunhao Xu, Niket Powar, Kelly Zervos, Isabella Campbell, Simran Choudhary, Layan Al-Khaled, Progna Banerjee
Chemistry: Faculty Publications and Other Works
Copper boron selenides represent a previously unexplored class of materials with tetragonal structural symmetries and bonding chemistries potentially relevant to lithium-ion conduction. In this work, the first colloidal synthesis of nanocrystalline copper boron selenides is reported, enabling access to nanocrystals with reaction times shown as the synthetic knob to control composition and morphology. Copper boron selenide nanocrystals are synthetically designed as precursors for lithiation reactions aimed at probing structural evolution and ionic mobility pathways toward superionic conductors applicable as solid electrolytes in lithium-ion batteries. Postsynthetic lithiation studies under ambient conditions reveal a series of phase transformations and morphological changes, which …
Effects Of Aloe Vera/Chitosan Ratios On The Tensile Properties Of Aloe Vera/Chitosan/Polyvinyl Alcohol Nanofibrous Membranes For Wound Care Dressing, Harini Sosiati, Abdul Rahman, Kelvin Kurniawan Sahputra, Miftahul Faruq Ibnul Fatoni
Effects Of Aloe Vera/Chitosan Ratios On The Tensile Properties Of Aloe Vera/Chitosan/Polyvinyl Alcohol Nanofibrous Membranes For Wound Care Dressing, Harini Sosiati, Abdul Rahman, Kelvin Kurniawan Sahputra, Miftahul Faruq Ibnul Fatoni
Makara Journal of Science
Chitosan (CS) and Aloe vera (AV) are functional and antibacterial materials compatible with polyvinyl alcohol (PVA), which confers medical and healthcare potential. This study prepared and then characterized the influence of CS/AV ratios on the tensile properties of CS/AV/PVA nanofibrous membranes for wound care dressing materials. The CS/AV/PVA membranes were fabricated using an electrospinning technique at varying AV/CS/PVA volume ratios: 0:0:100, 0:20:80, 5:15:80, 10:10:80, 15:5:80, and 20:0:80. All membranes were subjected to tensile testing as per the ASTM 882 standard, and the nanofiber’s morphology was examined using scanning electron microscopy. Changes in the tensile strength related to the formation of …
The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage
The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage
USF Tampa Graduate Theses and Dissertations
Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).
The proposed RANS-based approach is first …