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Securing Body Area Networks With Fingerprint Cryptography And Authentication In Manet, Alaa M. Elbanaa, Roayat Ismail Abdelfatah, Mohamed E. Nasr Jul 2024

Securing Body Area Networks With Fingerprint Cryptography And Authentication In Manet, Alaa M. Elbanaa, Roayat Ismail Abdelfatah, Mohamed E. Nasr

Journal of Engineering Research

Standard MANETs face issues like incorrect transmission and vulnerability to unauthorized node access, posing significant security concerns, especially regarding authentication procedures. To address these challenges, researchers are exploring innovative approaches to enhance authentication mechanisms within MANETs. In this paper, we present a novel solution integrating a Body Area Network (BAN) scheme to capture biomedical data from sensors such as ECG and EEG, facilitating data transmission across MANETs. Furthermore, we employ a hybrid Elgamal algorithm for encrypting biomedical data, bolstered by fingerprint biometrics to fortify the cryptographic process, enhancing network security. Additionally, we conduct comparative analyses, exploring different key sizes and …


Prediction Of Noise From A Construction Site, Amira Mostafa Ibrahim Miss, Nashwa Mohamed Yossef Prof, Adel Ibrahim Eldosouky Emeritus Professor Jul 2024

Prediction Of Noise From A Construction Site, Amira Mostafa Ibrahim Miss, Nashwa Mohamed Yossef Prof, Adel Ibrahim Eldosouky Emeritus Professor

Journal of Engineering Research

Construction activities significantly contribute to environmental noise pollution, affecting workers' health and the surrounding community, posing significant challenges to human well-being and productivity. This paper presents a prediction method and a modelling technique used to assess construction site noise. Various factors influencing noise generation and propagation, such as equipment types, operational conditions, site characteristics, and environmental factors, are discussed. This paper explores the application of Monte Carlo technique as an effective method for predicting construction site noise and planning noise mitigation strategies.


Performance Evaluation Of Electrocoagulation System For Wastewater Treatment, Mohamed Ahmed Reda Hamed Dr Jul 2024

Performance Evaluation Of Electrocoagulation System For Wastewater Treatment, Mohamed Ahmed Reda Hamed Dr

Journal of Engineering Research

ABSTRACT

This study aimed to evaluate the performance of an electrocoagulation reactor (EC) and investigate its efficiency in heavy-polluted industrial wastewater treatment. The electrocoagulation (EC) reactor has been experimentally evaluated using aluminium (Al) electrodes and connected to a direct current power at various applied voltage levels at room temperature in a relatively limited reaction time.

The treatment performance efficiency of the selected dominant EC operating parameter groups: pH, reaction time, inter-electrode distance, and applied voltage was investigated. The results demonstrate that the applied voltage to the electrocoagulation reactor was the most significant factor in pollutant removal. The maximum total suspended …


Survey And Analysis Of Safety Components And Costs In Construction Projects In Egypt, Emad E. Etman Prof., Haytham Sanad Prof., Asmaa Ibrahim Khater Jul 2024

Survey And Analysis Of Safety Components And Costs In Construction Projects In Egypt, Emad E. Etman Prof., Haytham Sanad Prof., Asmaa Ibrahim Khater

Journal of Engineering Research

The difficulty of determining the factors that achieve safety on Egyptian construction sites as a result of multiple and different criteria and different relative weights of the criteria represents a challenge to achieve safety and a secure environment on construction sites. This issue has been of interest for many decades and continues to be a topic of discussion today because of construction project management is rapidly modernizing. The paper aims to identify the safety standards most commonly used on construction sites, and determine their relative weights as seen by the target audience and also estimate the cost of safety measures …


Electrospun Ibuprofen-Loaded Blend Pcl/Peo Fibers For Topical Drug Delivery Applications, Diala Bani Mustafa, Tsuyoshi Sakai, Osamu Sato, Mitsuo Ikebe, Shih-Feng Chou Jul 2024

Electrospun Ibuprofen-Loaded Blend Pcl/Peo Fibers For Topical Drug Delivery Applications, Diala Bani Mustafa, Tsuyoshi Sakai, Osamu Sato, Mitsuo Ikebe, Shih-Feng Chou

Mechanical Engineering Faculty Publications and Presentations

Electrospun drug-eluting fibers have demonstrated potentials in topical drug delivery applications, where drug releases can be modulated by polymer fiber compositions. In this study, blend fibers of polycaprolactone (PCL) and polyethylene oxide (PEO) at various compositions were electrospun from 10 wt% of polymer solutions to encapsulate a model drug of ibuprofen (IBP). The results showed that the average polymer solution viscosities determined the electrospinning parameters and the resulting average fiber diameters. Increasing PEO contents in the blend PCL/PEO fibers decreased the average elastic moduli, the average tensile strength, and the average fracture strains, where IBP exhibited a plasticizing effect in …


Connectivity, Presence, And Time: A Pedagogical Experience With Telematic Music, Cássia Carrascoza Bomfim, Alexandre Ficarelli, Danilo Rossetti Jul 2024

Connectivity, Presence, And Time: A Pedagogical Experience With Telematic Music, Cássia Carrascoza Bomfim, Alexandre Ficarelli, Danilo Rossetti

Journal of Network Music and Arts

This article aims to discuss the notions of connectivity, presence, and time in the specific context of telematic music. To do so, we describe the work of the Telematic Ensemble LaFlauta, formed by students and professors from the University of São Paulo, Ribeirão Preto campus, for performance at the NowNet Arts Conference 2023.4 This work involved rehearsals and performances of three compositions dedicated to the group: Virtual Studies (2023) by Paulo C. Chagas, Modules 2 - My Words (2023) by Cássia Carrascoza, and Textural Studies (2023) by Danilo Rossetti. We conclude that the positive results of telematic music in a …


Technology For Obtaining Biologically Active Substanses From Buds And Immature Fruits Of The Capparis Spinosa Plant, Ruzali A. Botirov, Gavkhar E. Saidova, Dilnoza K. Mutalova, Alimdjan Z. Sadikov, Shamansur Sh. Sagdullaev Jul 2024

Technology For Obtaining Biologically Active Substanses From Buds And Immature Fruits Of The Capparis Spinosa Plant, Ruzali A. Botirov, Gavkhar E. Saidova, Dilnoza K. Mutalova, Alimdjan Z. Sadikov, Shamansur Sh. Sagdullaev

CHEMISTRY AND CHEMICAL ENGINEERING

The purpose of the study is to create a technology for the rational production of the substance POP from the extract of buds and unripe fruits of the plant Capparis spinosa L. A low-toxic (LD50 7600 - 10800 mg/kg) substance extracted from the buds and unripe fruits of Capparis spinosa, mainly containing water-soluble polysaccharides, proteins and flavonoids (PBP) has been found to have analgesic, antioxidant, and anti-inflammatory effects. It has a similar effect to Levadopa, which is recommended for the prevention of Parkinson's disease. The article presents the results of studies conducted on the technology for obtaining the substance PBP, …


The Study Of The Extraction Process Of Astragalus Turkestanus, Abdulaziz A. Janibekov, G'Ayrat B. Sotimov, Kamila R. Allambergenova, Iroda F. Qulsoatova, Fazliddin S. Jalilov Jul 2024

The Study Of The Extraction Process Of Astragalus Turkestanus, Abdulaziz A. Janibekov, G'Ayrat B. Sotimov, Kamila R. Allambergenova, Iroda F. Qulsoatova, Fazliddin S. Jalilov

CHEMISTRY AND CHEMICAL ENGINEERING

The purpose of this study is to obtain an extract of Astragalus turkestanus with a high content of biologically active substances and the lowest content of associated substances. The factors influencing the process of extracting biologically active substances from the aerial parts of Astragalus turkestanus have been studied. It was established that the selective extractant is 70% ethyl alcohol, the optimal degree of grinding of the raw material is no more than 3-5 mm, the process temperature is 20-25 ºС, it was extracted five times, while the time required for the first phase contact was 5 hours, the second - …


A Systematic Approach For Evaluating And Selecting Healthcare Waste Treatment Devices Using Owcm-Codas And Triangular Neutrosophic Sets, Asmaa Elsayed, Bilal Arain Jul 2024

A Systematic Approach For Evaluating And Selecting Healthcare Waste Treatment Devices Using Owcm-Codas And Triangular Neutrosophic Sets, Asmaa Elsayed, Bilal Arain

Neutrosophic Systems with Applications

Healthcare is a fundamental aspect of human life, impacting individuals, communities, and societies. Investing in healthcare infrastructure, services, and education is essential for fostering a healthy, thriving population. Healthcare waste management is a critical aspect of public health, and it requires a concerted effort from healthcare facilities, governments, and communities to ensure that waste is managed in a way that minimizes risks to human health and the environment. This paper proposes a hybrid methodology combining the Opinion Weight Criteria Method (OWCM) and the Combinative Distance-Based Assessment (CODAS) within the framework of Triangular Neutrosophic Sets (TNS) to evaluate and select the …


Review: Protection Of Wooden Structures With Nano-Titanium Dioxide Coating, Zienab Zienab A. Ahmed1*, And M. M. Mosallem2 Jul 2024

Review: Protection Of Wooden Structures With Nano-Titanium Dioxide Coating, Zienab Zienab A. Ahmed1*, And M. M. Mosallem2

Journal of Engineering Research

Wood is widely used for various purposes with good performance. Wood works as the main material for furniture, monuments, decorations and constructions. which has the close relationship with human. Durability of wood is important in ensuring an appropriate life for the structure being designed. Wooden construction deteriorates easily due to UV radiation and weather conditions. Many of wood types need a preservative treatment. Several compounds are available for chemical protection, but not all are completely safe for human health. New technologies with low environmental impact and economically feasible are developed, which improves the life cycle of wood. Titanium dioxide is …


Designing A Model For Conservation Agricultural Extension In Western Iran, Mosayeb Gholami, Amirhossien Alibaygi, Abdolhamid Papzan Jul 2024

Designing A Model For Conservation Agricultural Extension In Western Iran, Mosayeb Gholami, Amirhossien Alibaygi, Abdolhamid Papzan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Conservation agriculture is seen as a new solution to environmental degradation and unsusainable water and soil resources. Since the adoption rate for conservation agriculture in Iran is not high, there is a need to design an extension model in this field. The aim of this study was to design an extension model for conservation agriculture in Kermanshah Province, located in the west of Iran. The study involved two groups: experts in conservation agriculture selected via purposeful sampling with a wide range of expertise, and farmers from Ravansar and Sonqor townships in Kermanshah Province, selected through a multistage clustering technique. The …


Utilizing Collaborating Biomedical Deep Model For Diagnosis Of Ultrasonography Tumor Images, Maytham N. Meqdad, Seifedine Kadry Jul 2024

Utilizing Collaborating Biomedical Deep Model For Diagnosis Of Ultrasonography Tumor Images, Maytham N. Meqdad, Seifedine Kadry

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Artificial intelligence models are the most common methods of diagnosing various diseases today. In the meantime, the use of deep learning for faster diagnosis with less error, which is usually less expensive than other methods, is noteworthy. However, these methods are expensive due to the problems of accessing data, including care data such as hospitals and clinics. This article presents a novel federated learning-based approach for ultrasound mammography image classification. In this method, the clients possess their own datasets and are trained to use them. Then, the server, with the help of the trained clients, obtains the best parameters for …


Air Force Institute Of Technology Research Report 2022, Air Force Institute Of Technology Jul 2024

Air Force Institute Of Technology Research Report 2022, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.


Air Force Institute Of Technology Research Report 2021, Air Force Institute Of Technology Jul 2024

Air Force Institute Of Technology Research Report 2021, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.


Learning From Oversampling: A Systematic Exploitation Of Oversampling To Address Data Scarcity Issues In Deep Learning- Based Magnetic Resonance Image Reconstruction, Ibsa Kumara Jalata, Reeshad Khan, Ukash Nakarmi Jul 2024

Learning From Oversampling: A Systematic Exploitation Of Oversampling To Address Data Scarcity Issues In Deep Learning- Based Magnetic Resonance Image Reconstruction, Ibsa Kumara Jalata, Reeshad Khan, Ukash Nakarmi

Computer Science and Computer Engineering Faculty Publications and Presentations

Data acquisitions in Magnetic Resonance Imaging (MRI) are inherently slow due to sequential acquisition protocol. Image reconstruction from under-sampled data is posed as an inverse problem in traditional model-based learning paradigms. Recent data-centric learning frameworks such as deep learning (DL) frameworks are data hungry, and demand a large, labeled training data sets. To address the lack of large training datasets, in MRI reconstructions, researchers approach the problem in two ways: (1) unsupervised method where the model is trained without the presence of fully sampled data. (2) using a method that efficiently use the limited dataset for training purpose. In this …


Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel Jul 2024

Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel

Master's Theses

Many national infrastructures, particularly bridges, are becoming older and older day by day. Their safe operation and maintenance require routine monitoring and inspection. There are lots of bridge inspection specifications and manuals to guide inspectors to give the proper recommendations about the bridge structure and safety. These manuals and specifications require bridge inspectors to manually inspect the bridge and recommend maintenance and repair tasks referring to the specific criteria available in the manuals. In time, the application of technology makes many Unmanned Aerial Systems (UAS) advancements during the phase of data collection. For the image processing and analysis of collected …


Closing The Phosphorus Loop With Green Infrastructure: Removal And Recovery Using Amended Soils And 3d-Printed Material, Colin Wilson Jul 2024

Closing The Phosphorus Loop With Green Infrastructure: Removal And Recovery Using Amended Soils And 3d-Printed Material, Colin Wilson

Dissertations (1934 -)

Phosphorus (P) is a life-essential element aiding the deterioration of water quality. Stormwater runoff transports nonpoint source P pollution to waterbodies, contributing to excessive P loading which may result in eutrophication. Green infrastructure (GI) is implemented to solve stormwater runoff pollution, but the P removal performance of these systems is variable. Moreover, P is arguably being unsustainably mined for fertilizer production and animal feed supplements to support demand from increasing global populations. This dissertation explored advancing the circular P economy utilizing additive manufacturing and GI soil amendments to remove and recover P from stormwater runoff. Laboratory-scale batch experiments were used …


Carbon-Based Nanocomposite Membranes For Membrane Distillation: Progress, Problems And Future Prospects, Chhabilal Regmi, Yuwaraj K. Kshetri, S. Ranil Wickramasinghe Jul 2024

Carbon-Based Nanocomposite Membranes For Membrane Distillation: Progress, Problems And Future Prospects, Chhabilal Regmi, Yuwaraj K. Kshetri, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

The development of an ideal membrane for membrane distillation (MD) is of the utmost importance. Enhancing the efficiency of MD by adding nanoparticles to or onto a membrane’s surface has drawn considerable attention from the scientific community. It is crucial to thoroughly examine state-of-the-art nanomaterials-enabled MD membranes with desirable properties, as they greatly enhance the efficiency and reliability of the MD process. This, in turn, opens up opportunities for achieving a sustainable water–energy–environment nexus. By introducing carbon-based nanomaterials into the membrane’s structure, the membrane gains excellent separation abilities, resistance to various feed waters, and a longer lifespan. Additionally, the use …


In Situ Synthesis, Characterization And Photocatalytic Efficacy Of Silver-Enhanced Mxene And Graphene Nanocomposites, Kishore Chand, M. Mustafa Azeem, Muhammad Nazim Lakhan, Mukhtiar Ahmed, Muhammad Jehanzaib Aslam, Ahmer Hussain Shah Jul 2024

In Situ Synthesis, Characterization And Photocatalytic Efficacy Of Silver-Enhanced Mxene And Graphene Nanocomposites, Kishore Chand, M. Mustafa Azeem, Muhammad Nazim Lakhan, Mukhtiar Ahmed, Muhammad Jehanzaib Aslam, Ahmer Hussain Shah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The emergence of 2D materials has significantly expanded the wide range of nanomaterials with diverse applications. Notably, their high conductivity, catalytic efficiency, and hydrophobicity have fueled heightened research interests for water treatment applications. This research aimed to investigate the synthesis and characterization of MXene and reduced graphene oxide (rGO) nanocomposites with silver nanoparticles (Ag) for enhanced catalytic activity in the decomposition of Direct Blue-24 dye. In this study, we employed well-established methods, previously documented in the literature, to prepare two distinct nanocomposites. Novel nanocomposites, namely reduced graphene oxide–silver nanoparticles (rGO–Ag) and MXene–silver nanoparticles (MXene–Ag), were synthesized using the hydrothermal and …


In Situ Synthesis, Characterization And Photocatalytic Efficacy Of Silver-Enhanced Mxene And Graphene Nanocomposites, Kishore Chand, M. Mustafa Azeem, Muhammad Nazim Lakhan, Mukhtiar Ahmed, Muhammad Jehanzaib Aslam, Ahmer Hussain Shah Jul 2024

In Situ Synthesis, Characterization And Photocatalytic Efficacy Of Silver-Enhanced Mxene And Graphene Nanocomposites, Kishore Chand, M. Mustafa Azeem, Muhammad Nazim Lakhan, Mukhtiar Ahmed, Muhammad Jehanzaib Aslam, Ahmer Hussain Shah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The emergence of 2D materials has significantly expanded the wide range of nanomaterials with diverse applications. Notably, their high conductivity, catalytic efficiency, and hydrophobicity have fueled heightened research interests for water treatment applications. This research aimed to investigate the synthesis and characterization of MXene and reduced graphene oxide (rGO) nanocomposites with silver nanoparticles (Ag) for enhanced catalytic activity in the decomposition of Direct Blue-24 dye. In this study, we employed well-established methods, previously documented in the literature, to prepare two distinct nanocomposites. Novel nanocomposites, namely reduced graphene oxide–silver nanoparticles (rGO–Ag) and MXene–silver nanoparticles (MXene–Ag), were synthesized using the hydrothermal and …


Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna Jul 2024

Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna

Theses and Dissertations

Traditional heterogeneous catalyst discovery process relies upon human expert-guided experiments based on domain knowledge and human intuition supported by catalyst characterization. However, this process is time and resource-consuming and suffers from human bias. Machine learning (ML) models trained on experimental data have the potential to significantly accelerate this discovery process by guiding experiments to optimize the catalyst performance and increase the understanding of the catalysts. Ammonia synthesis catalysts are a class of catalysts widely investigated in the literature, which has generated decades of experimental data. Moreover, ammonia has been gaining attention since it can be used as a carbon-free next-generation …


Teaching Learning Newsletter Vol 4 Issue 1, Sastra Deemed To Be University Jul 2024

Teaching Learning Newsletter Vol 4 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.


Advancements In Microscale Tensile Testing: A Novel Device For The High Throughput Analysis Of Two-Photon Polymerized Microfibers In Liquid, Grayson D. Minnick Jul 2024

Advancements In Microscale Tensile Testing: A Novel Device For The High Throughput Analysis Of Two-Photon Polymerized Microfibers In Liquid, Grayson D. Minnick

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Two-photon polymerization (TPP) enables the 3D fabrication of micro- and nanostructures from biocompatible materials with high resolutions, reaching into the realm of hundreds of nanometers. Such capabilities are crucial for advancing applications in fields like mechanobiology. As microscale technologies evolve, the precise characterization of material properties becomes increasingly essential. This is especially true for TPP-printed microstructures serving as scaffolds for 3D cell culture and intended for studying the mechanics of tissues. Despite the importance, traditional micro-scale tensile testing methods typically lack scalability and fail to replicate relevant environmental conditions. This dissertation introduces a new device that is specifically designed to …


Multisensory System For Probing Scattering Media, Muralidhar Madabhushi Balaji Jul 2024

Multisensory System For Probing Scattering Media, Muralidhar Madabhushi Balaji

Electrical Engineering Theses and Dissertations

There are numerous problems in the physical sciences wherein the scattering of light fundamentally limits our ability to perceive and reason about objects within the visual field. Examples include navigation in foggy weather, detecting hidden contraband/explosives, detecting diseased regions in agricultural produce, and detecting tumors within tissue. In all these scenarios, the scrambling of light paths due to scattering reduces the ability to locate embedded objects and identify their spatial or spectral features.

Existing approaches address the challenge by augmenting optical sensing modalities with complementary techniques that do not rely on optical phenomenology, such as Magnetic Resonance Imaging (MRI) or …


Poly(Thioether) Thermosets With Gated Photodegradation, Surabhi Jha Jul 2024

Poly(Thioether) Thermosets With Gated Photodegradation, Surabhi Jha

Dissertations

Photodegradable polymer networks are attractive due to the precise spatiotemporal control and large-area applicability of light. Chemical linkages that enable these polymer networks to be photo-responsive, also hinder their applicability in ambient light. Photostable and photodegradable networks have recently been reported to overcome this challenge by combining other stimuli with light for degradation. We report the design of a network that responds to a simultaneous, dual stimulus for photodegradation. We design poly(thioether acetal) networks with benzylidene acetal moieties that are known to undergo β-scission in the presence of free thiols. By blocking these free thiols with a thermally labile protecting …


The Impact Of Pac-Loaded Polymer Membrane Thickness On Chloroform Removal And Comparison Of Solvent And Thermal Membrane Regeneration Methods, Yizhi Hou, Brooke K. Mayer Jul 2024

The Impact Of Pac-Loaded Polymer Membrane Thickness On Chloroform Removal And Comparison Of Solvent And Thermal Membrane Regeneration Methods, Yizhi Hou, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

Powdered activated carbon (PAC) has better adsorption performance than granular activated carbon (GAC) and is widely used in water purification. In most cases, PAC is dosed into water directly, then precipitated as sludge, and landfilled. In this study, PAC was mixed with a polymer and dissolved in dimethylformamide (DMF) solvent to form a PAC-loaded membrane, which was then tested for chloroform removal. The chloroform adsorption capacity of the PAC membrane increased with increasing membrane thickness because of higher carbon loading. However, regardless of membrane thickness, the flux of the PAC membranes was similar since flux resistance predominantly occurred at the …


High–Strength Porous Tinbzrtafe Alloys Fabricated By Sintering Of Nanocomposite Powder Precursor With Space Holder Technique, Yuhua Li, Yuxin He, Rong Zhao, Libin Niu, Juxin Qu, Lai Chang Zhang Jul 2024

High–Strength Porous Tinbzrtafe Alloys Fabricated By Sintering Of Nanocomposite Powder Precursor With Space Holder Technique, Yuhua Li, Yuxin He, Rong Zhao, Libin Niu, Juxin Qu, Lai Chang Zhang

Research outputs 2022 to 2026

Although introducing high porosity in biomedical Ti alloys can reduce their elastic modulus and promote new bone ingrowth, relieving the stress–shielding effect and implant failure, this also causes a decline in the alloys’ mechanical strength. In this work, a new preparation method for the high–strength and high–porosity Ti65Nb23.33Zr5Ta1.67Fe5 (TNZTF, at.%) alloy was suggested by sintering nanocomposite powder precursor in combination with the use of a space holder technique, in which NH4HCO3 is adopted to achieve a porous structure. The highly porous TNZTF alloy possesses a homogeneous fine–grained microstructure consisting of equiaxed α–Ti and a small amount of FeTi2, the latter …


Electrical And Morphological Investigation Of A Fe(Ii) Based Spin Crossover Complex And Its Composite, Rifat Mahbub Jul 2024

Electrical And Morphological Investigation Of A Fe(Ii) Based Spin Crossover Complex And Its Composite, Rifat Mahbub

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Spin crossover (SCO) complexes have unique properties of switching their spin state upon perturbations like temperature, pressure, light, etc. Along with the spin state, different properties vary like structural, electrical, magnetic, optical properties. This enables these materials to be potentially used in various applications like molecular electronics, memory devices, switching devices, sensors and many more. To incorporate spin crossover materials into devices with efficient performance, the electrical behavior needs to be understood. This dissertation aims to investigate the effect of crystal structure on the electrical properties of iron(II) triazole spin crossover complex and how it can be modified for better …


Advancing Understanding Of Opinions, Perceptions, And Knowledge In Underrepresented Communities In The El Paso Region To Promote Electric Vehicles And Electrified Infrastructure Use To Reduce Environmental Impacts, Liliana Lozada-Medellin Jul 2024

Advancing Understanding Of Opinions, Perceptions, And Knowledge In Underrepresented Communities In The El Paso Region To Promote Electric Vehicles And Electrified Infrastructure Use To Reduce Environmental Impacts, Liliana Lozada-Medellin

Open Access Theses & Dissertations

As the transportation and automotive industries continue growing, environmental and human health impacts remain a growing concern for planners, policy-makers, constructors, and the public as well (Krause et al., 2013; Larson et al., 2014). Although Electric Vehicles (EVs) are entering the market as a green technology solution to counteract greenhouse gas (GHG) emissions from internal combustion engine vehicles (ICEVs), there are still barriers that need to be overcome for widespread diffusion and adoption as the best solution. These include disseminating basic information about the technology for public awareness, considering equity concerns, and ensuring equitable access to infrastructure for all (L. …


Impact Of Non-Thermal Plasma Generated Using Air And Nitrogen On Functional Properties Of Milk Protein Dispersions, Nikitha Modupalli, Md Mahfuzur Rahman Jul 2024

Impact Of Non-Thermal Plasma Generated Using Air And Nitrogen On Functional Properties Of Milk Protein Dispersions, Nikitha Modupalli, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

This study focuses on improving the functionalities of milk protein concentrate (MPC) using a nonthermal plasma jet and plasma-activated water (PAW) with atmospheric air and nitrogen as source gases. The 5% and 10% MPC dispersions were directly treated with a plasma jet, and PAW was used to make the MPC dispersions. The dispersions were analyzed for changes in protein structure and functional properties. The treatment altered the secondary structure of MPC protein structure by increasing β-components and changing the order of random coils. The solubility of the PAW-treated 5% protein dispersions doubled due to plasma-induced modification of hydrophilic and covalent …