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Articles 4051 - 4080 of 9243
Full-Text Articles in Engineering
A Robust Decision-Making Model For Medical Supplies Via Selecting Appropriate Unmanned Aerial Vehicle, Amira Salam, Mai Mohamed, Rui Yong, Jun Ye
A Robust Decision-Making Model For Medical Supplies Via Selecting Appropriate Unmanned Aerial Vehicle, Amira Salam, Mai Mohamed, Rui Yong, Jun Ye
Neutrosophic Systems with Applications
Recently, Unmanned Aerial Vehicles (UAVs) have been used in many fields, including the field of health care, especially in delivering the necessary medical equipment and supplies, due to the many advantages they have compared to other traditional methods and the presence of different types of UAVs, to improve healthcare and provide it with the medical supplies and equipment necessary to save the lives of patients. Choosing the appropriate UAV for a specific situation represents a problem facing decision-makers, which is considered a multi-criteria decision-making problem. Since the decision-making process is cumbersome and complex, and deals with uncertainty and ambiguity. In …
Prediction Of Converter Gas Generation Based On Intermission Production Improved Elman, Jiajie Fei, Dinghui Wu, Junyan Fan, Jing Wang
Prediction Of Converter Gas Generation Based On Intermission Production Improved Elman, Jiajie Fei, Dinghui Wu, Junyan Fan, Jing Wang
Journal of System Simulation
Abstract: Aiming at large fluctuations of intermission and low prediction accuracy in iron and steel industry, based on the classification of intermission characteristics, a converter gas generation predicting model(CPSO-Elman) based on Elman neural network(ENN) optimized by chaotic PSO(CPSO) algorithm is proposed. The intermittent characteristics of converter gas generation time series are extracted and raw data is classified according to intermittent duration. The PSO algorithm improved by chaotic disturbance is introduced to optimize the initial weight and threshold of ENN and inertia weight of nonlinear updating is designed to balance global search ability and local search ability. Construct the combined prediction …
Mosaic Swarm Robotics: Emulating Natural Collective Behaviors For Efficient Task Execution With Custom Mobile Robots, Jonathan Ridley, Arielle Charles, Charles Koduru, Muhammad Hassan Tanveer, Razvan Voicu
Mosaic Swarm Robotics: Emulating Natural Collective Behaviors For Efficient Task Execution With Custom Mobile Robots, Jonathan Ridley, Arielle Charles, Charles Koduru, Muhammad Hassan Tanveer, Razvan Voicu
Symposium of Student Scholars
Mosaics, as an artistic expression, involves the meticulous arrangement of diverse tiles to form a unified composition. Drawing inspiration from this concept, the field of swarm robotics seeks to emulate nature’s collective behaviors observed in ant colonies, fish schools, and bird flocks, employing multiple agents to accomplish tasks efficiently. Our research explores the concept of mosaic swarm robotics, where numerous nodes with specialized functions are deployed across various domains, including applications for outdoor data capture and environment mapping. We utilized custom mobile robots operated by Raspberry Pi microcontrollers. By establishing an elaborate web of client-to-client communications to enable true localized …
Meadowminds: An Ai Literacy Game, Michelle Yavorskiy, Lydia Kim
Meadowminds: An Ai Literacy Game, Michelle Yavorskiy, Lydia Kim
Computer Science and Engineering Senior Theses
The emergence of artificial intelligence (AI) in our everyday lives has created a need for educating young people of the fundamentals and capabilities of AI in an engaging and effective manner. "MeadowMinds: An AI Literacy Game" aims to address this need by creating a game that simplifies complex machine learning (ML) concepts into an accessible 3D world for middle school students. This project follows a structured, agile development approach, incorporating comprehensive user research and feedback. The objectives of this project included transforming ML concepts, such as clustering and embedding in Large Language Models (LLMs), into interactive gameplay. We utilized various …
Development Of An Experimentally Validated Computational Fluid Dynamics Model For A Pbi Membrane-Based Anhydrous Hcl Electrolyzer, Kris Likit-Anurak, Hunter R. Teel, Ishwor Karki, Ben I. Howard, Brian C. Benicewicz, Sirivatch Shimpalee, Benjamin H. Meekins
Development Of An Experimentally Validated Computational Fluid Dynamics Model For A Pbi Membrane-Based Anhydrous Hcl Electrolyzer, Kris Likit-Anurak, Hunter R. Teel, Ishwor Karki, Ben I. Howard, Brian C. Benicewicz, Sirivatch Shimpalee, Benjamin H. Meekins
Faculty Publications
We report the development of an experimentally-validated computational fluid dynamics (CFD) model for simulation of an anhydrous HCl electrolyzer. The experimental data from 3 membrane variants was used to provide kinetic and membrane parameters for the model. The model not only accurately simulates overall electrolyzer performance, but it also provides key insights into the transport phenomena within the electrolyzer. The model allows simulation of experimental parameters like high HCl flowrates and increased cell pressure that pose a high safety risk to researchers. The model shows hotspots in the temperature distribution that will need to be addressed by flow field modification …
Aerospace Vehicle Comprising Module For Method Of Terrain, Terrain Activity And Material Classification, Matthew E. Nussbaum, Marissa S. Herron
Aerospace Vehicle Comprising Module For Method Of Terrain, Terrain Activity And Material Classification, Matthew E. Nussbaum, Marissa S. Herron
AFIT Patents
A method of classifying terrain, terrain activity and materials through panchromatic imagery a module programmed to provide such classification and aerospace vehicles comprising such module is provided. Panchromatic images of known materials terrains and terrain activities are taken and processed to form a multiband texture cube, that due it amount of data, is stored as a computer data base. New panchromatic images of unclassified materials, terrains and/or terrain activities are processed and compared via computer with such database that allows for inexpensive, quick and efficient classification of such new images.
Improving And Modeling Heterogeneous Streaming Computation, Clayton Faber
Improving And Modeling Heterogeneous Streaming Computation, Clayton Faber
McKelvey School of Engineering Graduate Student Theses & Dissertations
Data streaming algorithms are a class of problems that deal with moving data through a system while being processed. When implementing these types of algorithms a developer will spend time tuning an implementation for deployment, but if they are using heterogeneous architectures or when nodes of computation are physically separate from one another performance may be lost to unforeseen data movement complications. In this work we aim to alleviate some of these pain points through a combination of programming advice and mathematical models. One of the pain points often unseen and underappreciated by developers is a type of data streaming …
Air Quality Assessment On Local And Hyperlocal Scales, Zhiyao Li
Air Quality Assessment On Local And Hyperlocal Scales, Zhiyao Li
McKelvey School of Engineering Graduate Student Theses & Dissertations
Air quality monitoring across local and hyperlocal scales has attracted increased attention from both the public and research community. There are several approaches such as passive samplers and low-cost air quality sensors, depending on the pollutant and measurement objectives. Local and hyperlocal air pollutant measurements help to characterize local emission sources such as traffic and industry, including separating these signals from large scale influences (e.g., urban and regional scales), and better understand how land use types and meteorology influence pollutant spatiotemporal patterns. Low-cost sensors (LCS) are now a popular approach to monitor several criteria pollutants (e.g., particulate matter (PM), ozone, …
Coupling Treatment Technologies With Bioelectrochemical Systems To Optimize Resource Recovery From Wastewater, Matthew Stephen Ferby
Coupling Treatment Technologies With Bioelectrochemical Systems To Optimize Resource Recovery From Wastewater, Matthew Stephen Ferby
McKelvey School of Engineering Graduate Student Theses & Dissertations
Wastewater is a common waste produced from municipal, agricultural, and industrial processes. As the world’s population increases, the amount of wastewater produced globally is expected to reach approximately 450 billion m3 in the next two decades. Issues surrounding water, food, and energy accessibility will also become more imminent as the population grows. Interestingly, wastewater is an unconventional source of resources including water, nutrients (e.g., NH4+ and PO43-), and energy. However, conventional wastewater treatment processes focus primarily on the removal of containments rather than the recovery of resources. Bioelectrochemical systems (BES) have the ability to recover resources from wastewater. These engineered …
Data-Driven Evaluation Of Deep Generative Models In Biomedical Imaging, Rucha Milind Deshpande
Data-Driven Evaluation Of Deep Generative Models In Biomedical Imaging, Rucha Milind Deshpande
McKelvey School of Engineering Graduate Student Theses & Dissertations
Deep generative models (DGMs) have tremendous potential for several biomedical imaging applications such as data augmentation, image reconstruction, and image denoising. However, the deployment of DGMs in real-world biomedical imaging workflows without domain-relevant evaluations can jeopardize patient health and well-being. The evaluation of DGMs in biomedical imaging is challenging due to several factors: requirement of domain expertise for visual inspection, lack of a mathematically defined ground truth, and the unclear relevance of popular evaluation measures adopted from the computer vision literature. Given these challenges, one way to evaluate DGMs is via purposefully designed synthetic data. In this thesis, two frameworks …
Demand Response And Peer-To-Peer Energy Trading For Residential Microgrid, Kanakadhurga D
Demand Response And Peer-To-Peer Energy Trading For Residential Microgrid, Kanakadhurga D
Theses and Dissertations
Demand Side Management (DSM) is vital in handling uncertain renewable power generation and demand in a deregulated power system. The flat load profile can be obtained using the Demand Response (DR) techniques with the storage elements and proper switching. The increasing penetration of renewable-based distributed generation (DGs), batteries, and electric vehicles (EVs) supports the DR measures that facilitate utility and consumer.
This research aims to minimize the peak demand, electricity cost, and emission rate by effectively utilizing the storage with Renewable Energy Sources (RES). The first specific aim of the research objective focuses on the impact of DR implementation, DGs …
Scalability And Connectivity Challenges For The Future Of Digital Radio Communication, Christopher Bayliss
Scalability And Connectivity Challenges For The Future Of Digital Radio Communication, Christopher Bayliss
Honors Program: Senior Projects (Public)
This thesis explores future challenges in digital radio communication, particularly focusing on scalability and connectivity issues that could impede technological advancements. With the increasing production of digital technology and reliance on radio frequencies, there is a need for innovative solutions to overcome limitations in spectrum availability, interference management, and bandwidth constraints. This work evaluates current modulation techniques, spectrum allocation strategies, and advanced communication technologies such as cognitive radio systems and reconfigurable intelligent surfaces. Through a comprehensive literature review and analysis, this thesis identifies promising developments, including dynamic spectrum sharing and symbiotic radio systems, that could significantly enhance spectrum efficiency and …
Longitudinal Spatial Trends In U.S. Pedestrian And Bicyclist Fatalities, Ossiris Rodriguez, Nicholas N. Ferenchak
Longitudinal Spatial Trends In U.S. Pedestrian And Bicyclist Fatalities, Ossiris Rodriguez, Nicholas N. Ferenchak
Civil Engineering ETDs
Between 2009 and 2022 in the United States (U.S.), pedestrian fatalities increased 82.3% and bicyclist fatalities increased 70.8%. Several studies have researched crash characteristics such as the people and roadways involved in these crashes. But where are these fatalities occurring within our regions and what spatial characteristics of these locations could be influencing this trend? We analyzed pedestrian and bicyclist fatality data from the last two decades using NHTSA’s Fatality Analysis Reporting System (FARS) in relation to built-environment and socio-economic characteristics (such as street network density, transit access, poverty, and educational attainment) obtained from the U.S. Census and the U.S. …
Development Of Grid-Forming And Grid-Following Inverter Control In Microgrid Network Ensuring Grid Stability And Frequency Response, V. Vignesh Babu, J. Preetha Roselyn, C. Nithya, Prabha Sundaravadivel
Development Of Grid-Forming And Grid-Following Inverter Control In Microgrid Network Ensuring Grid Stability And Frequency Response, V. Vignesh Babu, J. Preetha Roselyn, C. Nithya, Prabha Sundaravadivel
Electrical Engineering Faculty Publications and Presentations
This paper proposes a control strategy for grid-following inverter control and grid-forming inverter control developed for a Solar Photovoltaic (PV)–battery-integrated microgrid network. A grid-following (GFL) inverter with real and reactive power control in a solar PV-fed system is developed; it uses a Phase Lock Loop (PLL) to track the phase angle of the voltages at the PCC and adopts a vector control strategy to adjust the active and reactive currents that are injected into the power grid. The drawback of a GFL inverter is that it lacks the capability to operate independently when the utility grid is down due to …
Ensuring Resilience Against Stealthy Attacks On Cyber-Physical Systems, Paul Griffioen, Bruce H. Krogh, Bruno Sinopoli
Ensuring Resilience Against Stealthy Attacks On Cyber-Physical Systems, Paul Griffioen, Bruce H. Krogh, Bruno Sinopoli
Faculty Work Comprehensive List
This article provides a tool for analyzing mechanisms that aim to achieve resilience against stealthy, or undetectable, attacks on cyber-physical systems. We consider attackers who are able to corrupt all of the inputs and outputs of the system. To counter such attackers, a response scheme must be implemented that keeps the attacker from corrupting the inputs and outputs of the system for certain periods of time. To aid in the design of such a response scheme, our tool provides sufficient lengths for these periods of time in order to ensure safety with a particular probability. We provide an upper bound …
Structural Dynamics Of The Human Brain In Vivo From Tagged Mri And Mr Elastography, Jordan De Niro Escarcega
Structural Dynamics Of The Human Brain In Vivo From Tagged Mri And Mr Elastography, Jordan De Niro Escarcega
McKelvey School of Engineering Graduate Student Theses & Dissertations
The underlying mechanics surrounding vulnerability of human brains in response to impact is critical to our ability to diagnose and treat traumatic brain injury (TBI), but our understanding of brain mechanical behavior is incomplete. Tagged MRI (tMRI) and magnetic resonance elastography (MRE) are two imaging techniques that are used to visualize and quantify deformation fields in human brains in vivo. The objective of this thesis is to gain a better understanding of brain vulnerability, by quantitively analyzing deformation fields extracted from in vivo human imaging studies. This was achieved through the following aims: (1) Extract mode shapes and natural frequencies …
Application Of Finite-State Wake Models To Rotors Re-Entering Their Own Wake, Michael Seay Morrow
Application Of Finite-State Wake Models To Rotors Re-Entering Their Own Wake, Michael Seay Morrow
McKelvey School of Engineering Graduate Student Theses & Dissertations
This paper details the development of a finite-state, dynamic wake model for the purpose of modeling a helicopter rotor reentering its own wake. This model stems directly from both the Peters-Morillo wake model to determine the velocity field on and above the helicopter rotor and the Peters-Fei model to compute the velocity field below the rotor. The specific case of nonzero net thrust was evaluated under assumptions of axial flow and potential flow theory. Results consist of computations of the inflow velocity for this case, along with comparison to closed-form, potential flow solutions for validation. The finite-state model is shown …
Development, Numerical Simulation And Turbulence Modeling Of A Sustainable Transonic Truss-Braced Wing Aircraft Using Liquid Hydrogen Fuel And Active Flow Control, Bryce Zachary Thomas
Development, Numerical Simulation And Turbulence Modeling Of A Sustainable Transonic Truss-Braced Wing Aircraft Using Liquid Hydrogen Fuel And Active Flow Control, Bryce Zachary Thomas
McKelvey School of Engineering Graduate Student Theses & Dissertations
There is pressing need for emissions reduction and an increase in efficiency for the next generation of commercial aircraft in order to reduce the environmental impact of the aviation sector and combat global climate change. The implementation of alternative fuels as well as new engine and wing designs are actively being explored as methods to reduce emissions. This thesis analyzes the implementation of hydrogen fuel, a transonic truss braced wing and active flow controls as means to improve the performance of a medium range commercial airliner. The widespread adoption of cryogenic liquid hydrogen (LH2) fuel as a green alternative to …
Exploring Applications Of Artificial Intelligence In Water And Wastewater Management Systems, Yanran Xu
Exploring Applications Of Artificial Intelligence In Water And Wastewater Management Systems, Yanran Xu
McKelvey School of Engineering Graduate Student Theses & Dissertations
Water and wastewater management systems play an essential role in satisfying residential, commercial, and industrial needs, but these systems suffer from undesired issues and high expenses, which stresses the need for sustainable development and system optimization. Modeling simulation is commonly used to optimize system performance through process prediction and precise control, and artificial intelligence (AI) technologies including machine learning (ML) and deep learning (DL) are showing their advantages in the application of water and wastewater management systems. A general framework was illustrated for optimized performance and enhanced explainability of ML models. Several analytical techniques were explored, including feature engineering, data …
Evaluating The Health Benefits And Cost-Effectiveness Of Dental Sealant Reapplication Among Children And Adolescents, Pritam Deb, Jayden Ayash, Christina Scherrer
Evaluating The Health Benefits And Cost-Effectiveness Of Dental Sealant Reapplication Among Children And Adolescents, Pritam Deb, Jayden Ayash, Christina Scherrer
Symposium of Student Scholars
Dental caries, commonly known as cavities, persist as a prevalent chronic disease among children. Dental sealants, which are transparent coatings applied to the molars, have been proven to prevent over 80% of caries in these teeth. However, the effectiveness of sealants diminishes over time, primarily due to their potential to detach shortly after application due to inadequate bonding, or else gradually over time. Notably, dental insurance coverage for resealing teeth after the initial sealant has been lost varies widely, with many policies only covering the cost of the initial application. This study employs a Markov model-based discrete event simulation to …
Influence Of Al2o3 Passivation Layer Thickness On The Thermal Stability And Quality Of Mocvd-Grown Gan On Si, S M Atiqur Rahman, Manika Tun Nafisa, Zhe Chuan Feng, Benjamin Klein, Ian T. Ferguson
Influence Of Al2o3 Passivation Layer Thickness On The Thermal Stability And Quality Of Mocvd-Grown Gan On Si, S M Atiqur Rahman, Manika Tun Nafisa, Zhe Chuan Feng, Benjamin Klein, Ian T. Ferguson
Symposium of Student Scholars
This research delves into the significant impact of varying thicknesses of the Al2O3 passivation layer on the thermal stability and crystalline quality of GaN on Si structures, an essential aspect for the next generation of high-temperature electronic and optoelectronic devices. By adopting metal-organic chemical vapor deposition (MOCVD) for the growth process, we analyzed structures with different Al2O3 passivation layer thicknesses: none, 2 nm, 10 nm, and 20 nm, each built upon the GaN layer. Through Raman spectroscopy, we meticulously assessed the changes in the E2 (High) phonon mode's peak position and full width …
Early Age Assessment Of A New Course Of Irish Fly Ash As A Cement Replacement, Niall Holmes Dr., Nikki Shaji, Mark Tyrer
Early Age Assessment Of A New Course Of Irish Fly Ash As A Cement Replacement, Niall Holmes Dr., Nikki Shaji, Mark Tyrer
Articles
This paper explores the potential of a new source of fly ash, deposited on the site of a coalfired power plant in Ireland dating from 1985 to 1995, as a cement replacement material. A series of X-ray diffraction (XRD) analyses on binder samples with cement replacement levels of 0, 10, 25 and 35% was undertaken to determine the fly ash’s mineralogical composition and to determine its suitability as a supplemental cementitious material (SCM). The XRD results reveal a unique mineral composition with promising characteristics for enhancing the strength and durability of concrete. The experimental results were used to calibrate a …
Effects Of Ti Addition On The Characteristics Of Al-10zn-6mg-2si/Zro2 Composites Produced By Squeeze Casting, Qesha Diva Prameshvara, Pipin Indah Lestari, Bondan Tiara Sofyan
Effects Of Ti Addition On The Characteristics Of Al-10zn-6mg-2si/Zro2 Composites Produced By Squeeze Casting, Qesha Diva Prameshvara, Pipin Indah Lestari, Bondan Tiara Sofyan
Journal of Materials Exploration and Findings
Metal matrix composite (MMC) with 7xxx aluminum matrix is potential for ballistic applications due to the combination of strength, toughness, and light weight. Previous study successfully produced aluminum-based composites with SiC particles which were able to stop type III bullet, however cracks remained on back of the plate. Therefore, in this research, SiC was replaced by zirconia (ZrO2) due to its high fracture toughness. Ti-B grain refiner was added to further improve toughness through grain boundary strengthening mechanism. This research developed 5 vol.% ZrO2 strengthened Al-10Zn-6Mg-2Si composite with addition of Al-5Ti-1B grain refiner produced through squeeze casting …
Integration Of The Ashby Technique And Pahl-Beitz Quantitative Ranking For Railway Axle Material Selection, Helya Chafshoh Nafisah, Jaka Fajar Fatriansyah, Siti Norasmah Surip
Integration Of The Ashby Technique And Pahl-Beitz Quantitative Ranking For Railway Axle Material Selection, Helya Chafshoh Nafisah, Jaka Fajar Fatriansyah, Siti Norasmah Surip
Journal of Materials Exploration and Findings
Railway axle serves as a vital connection between the train's wheels and its body. However, cyclic loading and high speed can induce fatigue in railway axle, which potentially leads to damage human safety. Therefore, it is important to find materials that have good mechanical properties with the lowest weight and cost. In this paper, a comprehensive method using Ashby chart has been performed to select candidate materials of railway axle. The methods begin with analyzing function by determining the problem, objective function, and constraints. After that, the results obtained are ranked using Pahl and Beitz quantitative weighting method. The results …
Study On Human Integrity Management System Maturity Level For Supporting Asset Integrity And Process Safety Implementation, Anggiat M. Sihotang, Dedi Priadi, D. Rizal Asral
Study On Human Integrity Management System Maturity Level For Supporting Asset Integrity And Process Safety Implementation, Anggiat M. Sihotang, Dedi Priadi, D. Rizal Asral
Journal of Materials Exploration and Findings
The human factors (HF) are recognized as one of critical process safety barriers involved in normal and abnormal conditions in the oil and gas industry. In order to strengthen the HF roles as barriers we need to ensure that the actions generated are based on a valid risk assessment of the operation to be addressed by a relevant human factor analysis. Organizations within the oil and gas process have made much progress in understanding and implementing HF improvement programs. However, organizations are not always clear about what are their current situations in managing HF, their priorities for HF to be …
Analysis Of The Effect Of Different Surface Preparation Methods On Corrosion Resistance And Adhesion Strength Of Astm A36 Steel Substrate With Surface Tolerant Epoxy Paint As Coating Material, Irwan Wijaya Santoso, Daffa Aqila, Rini Riastuti, Rizal Tresna Ramadhani
Analysis Of The Effect Of Different Surface Preparation Methods On Corrosion Resistance And Adhesion Strength Of Astm A36 Steel Substrate With Surface Tolerant Epoxy Paint As Coating Material, Irwan Wijaya Santoso, Daffa Aqila, Rini Riastuti, Rizal Tresna Ramadhani
Journal of Materials Exploration and Findings
In the industrial world, to extend the service life of materials, protection methods are carried out to slow down the material's corrosion rate. The protection method that is often used is the coating method. The coating method is a protection method by coating the substrate material using a coating material to prevent contact between the substrate material and the environment. In this research, the substrate material used is ASTM A36 steel and the coating material used is Surface Tolerant Epoxy paint. The independent variable used in this study lies in the surface preparation method which consists of: solvent cleaning, hand …
Fitness For Service (Ffs) And Fatigue Assessment For Shell Distorted Steel Storage Tank Based On Api 579-1/Asme Ffs-1, Wira Herucakra Sr. Structure Engineer, Luh Putri Adnyani, Ic Farid Hadi Prasetyo, Alviani Rahma Rizkhita
Fitness For Service (Ffs) And Fatigue Assessment For Shell Distorted Steel Storage Tank Based On Api 579-1/Asme Ffs-1, Wira Herucakra Sr. Structure Engineer, Luh Putri Adnyani, Ic Farid Hadi Prasetyo, Alviani Rahma Rizkhita
Journal of Materials Exploration and Findings
A shell distortion was occurred due to incorrect in the welding procedure during construction of a new built above ground steel storage tank. The assessment level 1 then performed referred to original construction code of API Standard 650 was performed, the roundness data of tank plate was obtained through to laser scanning survey, and the result on assessment level 1 known that the minimum radius of measured point is exceeding the radius tolerance. This unacceptable condition of assessment level 1 requires to be performed the higher level of assessment. A fitness for service assessment level 3 for tank 1000 KL …
Ofet Informatics: Observing The Impact Of Organic Transistor's Design Parameters On The Device Output Performance Using A Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed
Ofet Informatics: Observing The Impact Of Organic Transistor's Design Parameters On The Device Output Performance Using A Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed
Electrical Engineering
No abstract provided.
Localized Sustained Release Of Copper Enhances Antitumor Effects Of Disulfiram In Head And Neck Cancer, Juan Wang, Boxuan Li, Remy C. Cooper, Da Huang, Hu Yang
Localized Sustained Release Of Copper Enhances Antitumor Effects Of Disulfiram In Head And Neck Cancer, Juan Wang, Boxuan Li, Remy C. Cooper, Da Huang, Hu Yang
Chemical and Biochemical Engineering Faculty Research & Creative Works
Drug Repurposing Uses Approved Drugs as Candidate Anticancer Therapeutics, Harnesses Previous Research and Development Efforts, and Benefits from Available Clinically Suitable Formulations and Evidence of Patient Tolerability. in This Work, the Drug Used Clinically to Treat Chronic Alcoholism, Disulfiram (DSF), Was Studied for its Antitumor Efficacy in a Copper-Dependent Manner. the Combination of DSF and Copper Could Achieve a Tumor Cell Growth Inhibition Effect Comparable to Those of 5-Fluorouracil and Taxol on Head and Neck Cancer Cells. Both Bulk Dendrimer Hydrogel and Microsized Dendrimer Hydrogel Particles Were Utilized for the Localized Sustained Release of Copper in the Tumor Site. the …
Computer Security Lab Experiment, Orit D. Gruber, Herbert Schanker
Computer Security Lab Experiment, Orit D. Gruber, Herbert Schanker
Open Educational Resources
This is a basic experiment for all students of all majors to explore Computer Security. Each instruction included in this experiment is conducted online via a Web Browser; Firefox or Chrome is recommended. Software does not need to be downloaded nor installed. The step by step instructions in this experiment include interactive questions and observations which are then included in the (student's) final report.