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Full-Text Articles in Engineering

Cancer Nanotechnology: Enhancing Tumor Cell Response To Chemotherapy For Hepatocellular Carcinoma Therapy, Sun Yongbing, Ma Wen, Yang Yuanyuan, He Mengxue, Li Aimin, Bai Lei, Yu Bin, Yu Zhiqiang Jan 2019

Cancer Nanotechnology: Enhancing Tumor Cell Response To Chemotherapy For Hepatocellular Carcinoma Therapy, Sun Yongbing, Ma Wen, Yang Yuanyuan, He Mengxue, Li Aimin, Bai Lei, Yu Bin, Yu Zhiqiang

Faculty & Staff Scholarship

Abstract

Hepatocellular carcinoma (HCC) is one of the deadliest cancers due to its complexities, reoccurrence after surgical resection, metastasis and heterogeneity. In addition to sorafenib and lenvatinib for the treatment of HCC approved by FDA, various strategies including transarterial chemoembolization, radiotherapy, locoregional therapy and chemotherapy have been investigated in clinics. Recently, cancer nanotechnology has got great attention for the treatment of various cancers including HCC. Both passive and active targetings are progressing at a steady rate. Herein, we describe the lessons learned from pathogenesis of HCC and the understanding of targeted and non-targeted nanoparticles used for the delivery of small ...


Neutrophil Extracellular Traps In Breast Cancer And Beyond: Current Perspectives On Net Stimuli, Thrombosis And Metastasis, And Clinical Utility For Diagnosis And Treatment, Hunter T. Snoderly, Brian A. Boone, Margaret F. Bennewitz Jan 2019

Neutrophil Extracellular Traps In Breast Cancer And Beyond: Current Perspectives On Net Stimuli, Thrombosis And Metastasis, And Clinical Utility For Diagnosis And Treatment, Hunter T. Snoderly, Brian A. Boone, Margaret F. Bennewitz

Faculty & Staff Scholarship

Abstract

The formation of neutrophil extracellular traps (NETs), known as NETosis, was first observed as a novel immune response to bacterial infection, but has since been found to occur abnormally in a variety of other inflammatory disease states including cancer. Breast cancer is the most commonly diagnosed malignancy in women. In breast cancer, NETosis has been linked to increased disease progression, metastasis, and complications such as venous thromboembolism. NET-targeted therapies have shown success in preclinical cancer models and may prove valuable clinical targets in slowing or halting tumor progression in breast cancer patients. We will briefly outline the mechanisms by ...


Drilling Performance Monitoring And Optimization: A Data-Driven Approach, Shan E Zehra Lashari, Ali Takbiri-Borujeni, Ebrahim Fathi, Ting Sun, Reza Rahmani, Mehdi Khazaeli Jan 2019

Drilling Performance Monitoring And Optimization: A Data-Driven Approach, Shan E Zehra Lashari, Ali Takbiri-Borujeni, Ebrahim Fathi, Ting Sun, Reza Rahmani, Mehdi Khazaeli

Faculty & Staff Scholarship

Abstract Drilling performance monitoring and optimization are crucial in increasing the overall NPV of an oil and gas project. Even after rigorous planning, drilling phase of any project can be hindered by unanticipated problems, such as bit balling. The objective of this paper is to implement artifcial intelligence technique to develop a smart model for more accurate and robust real-time drilling performance monitoring and optimization. For this purpose, the back propagation, feed forward neural network model was developed to predict rate of penetration (ROP) using diferent input parameters such as weight on bit, rotations per minute, mud fow (GPM) and ...


Dataset On Hydrophobicity Indices And Differential Scanning Calorimetry Thermograms For Poly(Hema)-Based Hydrogels, Ankita Bhat, Blake Smith, Cerasela-Zoica Dinu, Anthony Guiseppi-Elie Jan 2019

Dataset On Hydrophobicity Indices And Differential Scanning Calorimetry Thermograms For Poly(Hema)-Based Hydrogels, Ankita Bhat, Blake Smith, Cerasela-Zoica Dinu, Anthony Guiseppi-Elie

Faculty & Staff Scholarship

Hydrophobicity indices for poly(HEMA)-based hydrogels:HEMA, AEMA, and DMAEMA calculated from two differentmethods: 1) Partition coefficients, and 2) Kyte-Doolittle scaleare depicted.Thermograms from differential scanning calorimetry ofpoly(HEMA)-based hydrogels containing AEMA, DMAEMA, and amixture of AEMA and DMAEMA are included to represent the glasstransition temperature (Tg) values of the hydrogels.More information on the methodology to calculate the hydro-phobicity indices using the aforementioned methods and theprocedure for using a differential scanning calorimeter and anal-ysis of a thermogram is described.Details of how the changes in the feed composition ofpoly(HEMA)-based hydrogels was made is provided in ...


Confirmation Of Data-Driven Reservoir Modeling Using Numerical Reservoir Simulation, Al Hasan Mohamed Al Haifi Jan 2019

Confirmation Of Data-Driven Reservoir Modeling Using Numerical Reservoir Simulation, Al Hasan Mohamed Al Haifi

Graduate Theses, Dissertations, and Problem Reports

Data driven reservoir modeling, also known as Top-Down Model (TDM), is an alternative to the traditional numerical reservoir simulation technique. Data driven reservoir modeling is a new technology that uses artificial intelligence and machine learning to build full-field reservoir models using field measurements (data - facts) instead of mathematical formulations that represent our current understanding of the physics of the fluid flow through porous media. TDM combines all field measurements into a comprehensive reservoir model to predict the production from each well in a field with multiple wells.

There are many opinions, speculations and criticism about not using the physics-based approach ...


Development Of A Dynamic Model And Control System For Load-Following Operation Of Supercritical Pulverized Coal Power Plants, Parikshit S. Sarda Jan 2019

Development Of A Dynamic Model And Control System For Load-Following Operation Of Supercritical Pulverized Coal Power Plants, Parikshit S. Sarda

Graduate Theses, Dissertations, and Problem Reports

Thermal power plants that have been designed to operate at their rated capacity are being forced to cycle their load and operate under low-load condition to meet changing load demands due to the increased penetration of renewables into the electric grid. The rapid load-following operation is leading to challenging control problems. The goal of this research is to develop dynamic model and control system for efficient load-following operation. The focus of this work is on supercritical pulverized coal (SCPC) power plants. The steady-state model is developed using Aspen Plus and Aspen Custom Modeler and then converted to a pressure-driven Aspen ...


Online Model Predictive Control Of A Nonisothermal And Nonisobaric Membrane Reactor For Water-Gas Shift Reaction Applications, Jacob Martin Douglas Jan 2019

Online Model Predictive Control Of A Nonisothermal And Nonisobaric Membrane Reactor For Water-Gas Shift Reaction Applications, Jacob Martin Douglas

Graduate Theses, Dissertations, and Problem Reports

Online Model Predictive Control of a Nonisothermal and Nonisobaric Membrane Reactor for Water-Gas Shift Reaction Applications Jacob M. Douglas Modern hydrogen production units are tasked with producing the most hydrogen possible while dealing with flow variations caused by changing power demands. Classical methods for hydrogen production employing the water-gas shift reaction are governed by equilibrium limitations that take effect at high temperatures and high concentrations of H2 (Georgis, et al., 2014). The implementation of a membrane reactor with temperature control enables the hydrogen concentration and temperature to reach an equilibrium at a higher concentration of H2. Another challenge that is ...


Impact Of Natural Fracture Induced Elastic Anisotropy On Completion And Hydraulic Fracturing Designs, Emre Can Dundar Jan 2019

Impact Of Natural Fracture Induced Elastic Anisotropy On Completion And Hydraulic Fracturing Designs, Emre Can Dundar

Graduate Theses, Dissertations, and Problem Reports

Shale has been usually recognized as a transverse isotropic (TI) medium in conventional geomechanical log interpretation due to its laminated nature. However, when natural fractures (NFs) exist in the rock body, additional elastic anisotropy can be introduced, converting Shale to an orthorhombic (OB) medium. Previous study illustrates that treating the naturally fractured shale rock as a TI medium by ignoring the NF-induced anisotropy can cause the erroneous estimation of the geomechanical properties (i.e. Young’s modulus, Poisson’s ratio, brittleness index, and etc.) and in-situ stress. In this paper, the study is extended to quantify the impact of NF-induced ...


Development Of A Sustainability Evaluation And Control Framework For Chemical Processes, Shuyun Li Jan 2019

Development Of A Sustainability Evaluation And Control Framework For Chemical Processes, Shuyun Li

Graduate Theses, Dissertations, and Problem Reports

Industry, government, and society have begun to shift from economic stand-alone focus to the inclusion of sustainability in the decision-making process. This shift can be attributed to the growing environmental and social awareness that makes consumers and stakeholders not only care about product quality and cost, but also products and processes that minimize the environmental impact and conserve natural resources. As a result, some progress has been made in recognizing and understanding the challenges of sustainable development, which helps evaluating the sustainability performance of a specific process/product. In particular, sustainability assessment tools and methodologies have been developed to help ...


Design Of Geothermal District Heating And Cooling System For The West Virginia University, Oluwasogo Bolaji Alonge Jan 2019

Design Of Geothermal District Heating And Cooling System For The West Virginia University, Oluwasogo Bolaji Alonge

Graduate Theses, Dissertations, and Problem Reports

Recent Appalachian Basin Geothermal Play Fairway Analysis estimated elevated heat flows in north-central West Virginia. This region provides an optimal and unique combination of elevated temperatures and flow necessary for geothermal development along with year-round surface demand for heating and cooling on the campus. Therefore, West Virginia University’s (WVU’s) Morgantown campus has been identified as a prime location in the eastern United States for the development of a geothermal direct-use heating and cooling application. The objective of this study was to perform a feasibility analysis for the development of a geothermal district heating and cooling (GDHC) system for ...


Design And Implementation Of Model Predictive Control Strategies For Improved Power Plant Cycling, Xin He Jan 2019

Design And Implementation Of Model Predictive Control Strategies For Improved Power Plant Cycling, Xin He

Graduate Theses, Dissertations, and Problem Reports

Design and Implementation of Model Predictive Control Strategies for Improved Power Plant Cycling

Xin He

With the increasing focus on renewable energy sources, traditional power plants such as coal-fired power plants will have to cycle their load to accommodate the penetration of renewables into the power grid. Significant overshooting and oscillatory performance may occur during cycling operations if classical feedback control strategies are employed for plantwide control. To minimize the impact when power plants are operating away from their designed conditions, model-based optimal control strategies would need to be developed for improved power plant performance during cycling.

In this thesis ...


New Method Of Manufacturing Carbon Foam, Matthew D. Artimez Jan 2019

New Method Of Manufacturing Carbon Foam, Matthew D. Artimez

Graduate Theses, Dissertations, and Problem Reports

Carbon foam is a product that has some unique features. Carbon foam is a light weight material that has a high crush strength. It is electrically conductive, but because it is composed of air space between the tendrils, it is not a thermal conductor. Since it contains no volatile content, it is noncombustible. All these features allow carbon foam to have many modern applications. Currently, there are only three methods of producing carbon foam, and all three are not cost- efficient enough to meet the demand of potential new markets.

In this thesis, a new procedure of producing carbon foam ...


Mechanism Study Of Shale Gas Conversion Via Chemical Looping And Heterocatalytic Processes, Lei Bai Jan 2019

Mechanism Study Of Shale Gas Conversion Via Chemical Looping And Heterocatalytic Processes, Lei Bai

Graduate Theses, Dissertations, and Problem Reports

The shale gas revolution has significantly changed the energy landscape in US. The technical-feasible, energy-effective schemes for shale gas combustion and utilization, especially from remote resources, have attracted increasing interest due to expensive transportation/distribution cost. In this research, for the first time, chemical looping combustion (CLC) of methane with inherent CO2 capture, oxidative coupling of methane (OCM) and dehydro-aromatization (DHA) of ethane are systematically studied as promising alternatives at O2-rich, O2-lean and non-oxidative conditions, respectively.

Chemical looping combustion is bridging clean fuel combustion in energy production with inherent CO2 capture. CLC utilized an ...


An Elastic-Net Logistic Regression Approach To Generate Classifiers And Gene Signatures For Types Of Immune Cells And T Helper Cell Subsets, Arezo Torang, Paraag Gupta, David J. Klinke Ii Jan 2019

An Elastic-Net Logistic Regression Approach To Generate Classifiers And Gene Signatures For Types Of Immune Cells And T Helper Cell Subsets, Arezo Torang, Paraag Gupta, David J. Klinke Ii

Faculty & Staff Scholarship

Background: Host immune response is coordinated by a variety of different specialized cell types that vary in time and location. While host immune response can be studied using conventional low-dimensional approaches, advances in transcriptomics analysis may provide a less biased view. Yet, leveraging transcriptomics data to identify immune cell subtypes presents challenges for extracting informative gene signatures hidden within a high dimensional transcriptomics space characterized by low sample numbers with noisy and missing values. To address these challenges, we explore using machine learning methods to select gene subsets and estimate gene coefficients simultaneously. Results: Elastic-net logistic regression, a type of ...