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Pages
- Title
- Teacher Knowledge Share (Semester Unknown) IPRO 320: Teacher Knowledge Share IPRO 320 Project Plan F08
- Creator
- Bern, David, Bochantin, Marike, Hartline, Julian, Mccall, Ian, Mick, Emily, Peake, Andrew, Pierce, Alison, Pindrik, Dmitriy, Quinn, Michael, Stanford, Carly, Tilatti, Michael
- Date
- 2008, 2008-12
- Description
-
The goal of IPRO 320 is to create an online professional network for school teachers at the kindergarten through twelfth grade level to allow...
Show moreThe goal of IPRO 320 is to create an online professional network for school teachers at the kindergarten through twelfth grade level to allow for the sharing of ideas, lesson plans and other professionally relevant information. This is a continuing project which saw limited success in the previous semester in that a functioning web site was constructed based on surveys of public school teachers but it saw very little use. This semester, the planned approach is to build on the research generated last semester by performing additional market research with teachers. Following that, IPRO 320 will rework much of the previous web site by refining some of the features, adding additional ones as the research indicates and improving the website in general, both functionally and aesthetically.
Deliverables
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- Title
- Biophilic Calumet: Final Book
- Creator
- Meder, Robert
- Date
- 2010-07-29
- Title
- BIFUNCTIONAL CHELATING AGENTS FOR POSITRON EMISSION TOMOGRAPHY AND RADIOIMMUNOTHERAPY
- Creator
- Sin, In Seok
- Date
- 2013, 2013-12
- Description
-
Positron emission tomography (PET) is an important molecular imaging modality. To develop new bifunctional chelators for use in more sensitive...
Show morePositron emission tomography (PET) is an important molecular imaging modality. To develop new bifunctional chelators for use in more sensitive PET imaging, 64Cu-radiolabeled chelators have been investigated as promising PET agents. We synthesized and evaluated a macrocyclic chelator (NOTA)-based new bifunctional ligands with different coordination groups. New bifunctional chelators were evaluated for their radiolabeling efficiency with 64Cu, and in vitro complex stability of 64Cu-labeled chelators in human serum was also studied. 64Cu-labeled chelators was further evaluated for in vitro complex stability by EDTA challenge as a rigorous test of transchelation. As a result, chelator D, E, 3p-C-NE3TA, and 3p-C-NOTA were indicated as best chelators and have a promise for 64Cu-based PET imaging. Radioimmunotherapy (RIT) is a highly selective modality of cancer treatment and uses a radiolabeled chelator conjugated with monoclonal antibody. Our continued research of developing new RIT agents radiolabeled with 177Lu, different types of a macrocyclic based bifunctional chelators (DOTA, NOTA and NE3TA)- with variation of denticity, macrocyclic cavity, and bimodality were synthesized. Radiolabeling efficiency of chelators and in vitro complex stability of 177Lu-radiolabeled complex in human serum were evaluated. The effects of different pH and TLC solvents were investigated to confirm the best radiolabeling condition of new chelators with 177Lu. Furthermore, complex stability of 177Lu-radiolabeled chelators in a solution with excess EDTA and various metals was evaluated for transchelation. Therefore, the results of radiolabeling, serum stability and EDTA and metal challenge studies indicate that cavity size and ligand x denticity in chelators affected binding affinity to Lu(III) . 3p-C-DETA was identified as the best chelator for further research of RIT agent.
M.S. in Chemistry, December 2013
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- Title
- FACTORS ASSOCIATED WITH COGNITIVE IMPAIRMENT IN WELLMOTIVATED CHRONIC NON-MALIGNANT PAIN PATIENTS EVALUATED FOR SPINAL CORD STIMULATION
- Creator
- Zalizniak, Kevin C.
- Date
- 2016, 2016-12
- Description
-
Cognitive impairment in individuals with chronic pain is frequently observed and clinically significant (McCracken, & Iverson, 2001). It has...
Show moreCognitive impairment in individuals with chronic pain is frequently observed and clinically significant (McCracken, & Iverson, 2001). It has long been recognized that emotional factors contribute to both patient perception of impaired cognition and verifiable cognitive impairment on testing (Burt, Zembar, & Niederehe, 1995). However, scientific consensus is lacking regarding how specific emotions, such as depression, anxiety, and pain catastrophizing impact cognition in chronic pain patients. Research seeking to clarify such relationships has been hampered by methodological shortcomings, which include limited sample sizes, non-objective measures, and failure to examine multiple emotional dimensions in unique samples (McCracken and Vowels, 2014; Moriarty, McGuire, & Finn, 2011). The present study examined factors that might contribute to cognitive impairment in this population using a sample of 78 chronic pain patients evaluated for surgical candidacy for spinal cord stimulator (SCS) implantation at the University of Illinois at Chicago. Use of such a sample ensured patients were wellmotivated to perform to the best of their ability, so as to increase their chance of being cleared for such a highly desirable procedure. Additionally, the vast majority of participants passed well-validated objective measures of effort. Hypothesized associations between attentional function as measured objectively by the RBANS attention index and a number of predictor variables: depression and anxiety, subjective pain experience, pain catastrophizing, somatization, and engagement in pain behaviors were not found, and subsequent analyses of proposed mediating relationships could not be performed. However, fully a third (35.9 percent) of our well-motivated sample did not show clinically significant impairment (below 85, or 1 SD below the mean), as was expected. Thus, it is possible that a well-motivated sample may have been less likely than samples used in previous investigations to show cognitive impairment overall. Strengths and limitations of the study are discussed, as well as clinical and research implications.
Ph.D. in Psychology, December 2016
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- Title
- Measuring complexity in reactor networks with cubic autocatalytic reactions
- Creator
- Tatara, E., Birol, I., Cinar, A., Teymour, F.
- Date
- 2005-04-13
- Publisher
- AMER CHEMICAL SOC
- Description
-
Systems with high steady-state multiplicity and rich dynamic behavior are difficult to investigate using conventional reductionist methods. A...
Show moreSystems with high steady-state multiplicity and rich dynamic behavior are difficult to investigate using conventional reductionist methods. A network of more than five reactors hosting cubic autocatalytic reactions may potentially have more than 101 steady states and many distinct dynamic regimes, all for the same parameter set. This paper discusses how the static complexity of such systems can be measured to give a holistic picture. To achieve this, stochastic simulations were performed to statistically determine the bifurcation structure of the system, and the gathered information is summarized using a measure akin to fractal dimension. With this measure, the growth of static complexity is investigated as a function of the network size.
Endnote format citation for DOI:10.1021/ie049246t
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- Title
- Innovative Uses of Native CAD Files
- Creator
- Menches, Cindy L., Kleps, Stephen M.
- Date
- 2012-08-31, 2011-08-31
- Description
-
This technical report describes the outcomes resulting from conducting interviews with professional estimators within the electrical...
Show moreThis technical report describes the outcomes resulting from conducting interviews with professional estimators within the electrical construction industry. The purpose of the interviews was to identify whether native files are shared, why sharing does not occur more frequently, how file sharing might benefit the estimating process, and barriers to sharing native CAD files for the purpose of estimating from CAD drawings.
Sponsorship: Electri International
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- Title
- THE ELASTICITY AND PURIFICATION OF THE FLIGHT MUSCLE PROTEINS OF MENDUCA SEXTA
- Creator
- Dong, Sicong
- Date
- 2014, 2014-05
- Description
-
Contraction of the DLM1 flight muscles of the Hawmoth, Manduca sexta are synchronous with the nervous impulse stimulation like mammalian...
Show moreContraction of the DLM1 flight muscles of the Hawmoth, Manduca sexta are synchronous with the nervous impulse stimulation like mammalian skeletal muscle. With cardiac-like behavior, DLM1 muscle of Manduca sexta can be a useful model to resemble mammalian cardiac muscle. Asynchronous flight muscles, like Lethocerus and Drosophila flight muscle, can only extend a few percent. But Manduca flight muscle has the ability to extend at least 100% in vitro and 9% in vivo. Very little is known about the protein composition and physiological behavior of Manduca flight muscle. Hence the length-tension behaviors of the DLM1 muscle of Manduca sexta are of considerable interest. In this experiment, we used PPi to remove thick filament in the sarcomere and focus on the passive tension generated by elastic proteins (projectin, kettin and sls proteins) in the sarcomere. The results showed elastic proteins (projectin, kettin and sls proteins)-based passive tension play a major role on muscle passive force in DLM1 muscles of Manduca sexta. We also tested a new way to prepare chemically skinned muscle samples where the dorsal and ventral muscle samples are pinned still in their shell on plates during the skinning step. In addition, preliminary experiments attempting to purify the DLM1 muscle proteins of Manduca sexta, fast protein liquid chromatography was used. Then 1% vertical SDS-agarose gel electrophoresis (VAGE) and 4-20% SDSPAGE gel are used to detect the samples after purification. We successfully purified 900kDa projectin and 700kDa kettin, which are major elastic proteins and useful for further research.
M.S. in Biology, May 2014
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- Title
- SIZE AND VALUE RISK IN FINANCIAL FIRMS
- Creator
- Baek, Seungho
- Date
- 2013, 2013-12
- Description
-
Although the Fama and French’s three factor model is now the most popular replacement for CAPM in corporate finance and investment management,...
Show moreAlthough the Fama and French’s three factor model is now the most popular replacement for CAPM in corporate finance and investment management, the exclusion of financial firms can be questioned on both theoretical and empirical grounds. Financial firms are around 19 percent of the value of the U.S. stock market. The financial service industry is the major industry in many large U.S. cities including New York, Chicago, Los Angeles and Miami in that their GDPs of financial services for each city are more than 23 percent. Also, there is no theoretical reason for excluding financial firms. Modigliani and Miller [31] [32] suggest that leverage affects beta, but it does not invalidate the capital asset pricing model. It would therefore be more satisfying if the pricing model applied generally, rather than being restricted to nonfinancial corporations. From this consideration, this paper assesses the validity of size and value risk as common risk factors to measure of expected equity returns in financial companies based on the fact that Fama and French [11] [12] excluded financial firms in their study of the cross-section of expected stock returns. The findings from empirical asset pricing tests suggest that size and value risk premia commonly exist in both nonfinancial and financial firms even if two factors are less explicable in financial firms, that an interest rate risk premium (ΔL/L) which defined as a financial firm specific risk factor only appears in financial companies.
PH.D in Management Science, December 2012
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- Title
- NON-GAUSSIAN STOCHASTIC DYNAMICS: MODELING, SIMULATION, QUANTIFICATION AND ASSIMILATION
- Creator
- Gao, Ting
- Date
- 2015, 2015-05
- Description
-
Motivated by real world applications, three topics - deterministic quantities, uncertainty quantification and data assimilation, are...
Show moreMotivated by real world applications, three topics - deterministic quantities, uncertainty quantification and data assimilation, are considered for non-Gaussian stochastic dynamics. More specifically, three problems are formulated to investigate non-Gaussian dynamics: (i) exit problem and time-dependent probability density; (ii) parameter and function estimation for stochastic differential equations driven by L´evy motion; and (iii) nonlinear data assimilation to infer transition phenomena. First, numerical algorithms are developed to study important metrics: mean exit time, escape probability and time-dependent probability density, which can be utilized to quantify dynamical behaviors of stochastic differential equations with non- Gaussian -stable L´evy motion. Moreover, detailed numerical analysis work is done to ensure the algorithms accurate, fast and stable considering the singular nature of the L´evy jump measure. Second, new approaches on parameter and function estimation in stochastic dynamical systems are devised. Taking advantage of observations on mean exit time, escape probability or probability density, model uncertainty can be quantified by some optimization methods. These methods are beneficial to systems for which mean exit time, escape probability or probability density are feasible to observe. Finally, nonlinear data assimilation on non-Gaussian models is studied. For continuous-discrete filtering, a recursive Bayesian approach is used, and for continuous filtering, Zakai equation is solved to provide the system state estimation. In both cases, time-dependent transition probability between metastable states are investigated. xiMotivated by real world applications, three topics - deterministic quantities, uncertainty quantification and data assimilation, are considered for non-Gaussian stochastic dynamics. More specifically, three problems are formulated to investigate non-Gaussian dynamics: (i) exit problem and time-dependent probability density; (ii) parameter and function estimation for stochastic differential equations driven by L´evy motion; and (iii) nonlinear data assimilation to infer transition phenomena. First, numerical algorithms are developed to study important metrics: mean exit time, escape probability and time-dependent probability density, which can be utilized to quantify dynamical behaviors of stochastic differential equations with non- Gaussian -stable L´evy motion. Moreover, detailed numerical analysis work is done to ensure the algorithms accurate, fast and stable considering the singular nature of the L´evy jump measure. Second, new approaches on parameter and function estimation in stochastic dynamical systems are devised. Taking advantage of observations on mean exit time, escape probability or probability density, model uncertainty can be quantified by some optimization methods. These methods are beneficial to systems for which mean exit time, escape probability or probability density are feasible to observe. Finally, nonlinear data assimilation on non-Gaussian models is studied. For continuous-discrete filtering, a recursive Bayesian approach is used, and for continuous filtering, Zakai equation is solved to provide the system state estimation. In both cases, time-dependent transition probability between metastable states are investigated.
Ph.D. in Applied Mathematics, May 2015
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- Title
- Coupling of Twin Rectangular Supersonic Jets
- Creator
- Raman, G., Taghavi, R.
- Date
- 1998-01-10
- Publisher
- Cambridge Univ Press
- Description
-
Twin jet plumes on aircraft can couple, producing dynamic pressures significant enough to cause structural fatigue. For closely spaced jets...
Show moreTwin jet plumes on aircraft can couple, producing dynamic pressures significant enough to cause structural fatigue. For closely spaced jets with a moderate aspect ratio (e.g. 5), previous work has established that two coupling modes (antisymmetric and symmetric) are kinematically permissible. However, the dynamics of twin-jet coupling have remained unexplored. In this paper a more fundamental assessment of the steady and unsteady aspects of twin-jet coupling is attempted. While we document and discuss the nozzle spacings and Mach numbers over which phase-locked coupling occurs, our concentration is much more on answering the following questions: (a) What mechanism causes the jets to couple in one mode or the other? (b) Why do the jets switch from one mode to another? (c) Are the two modes mutually exclusive or do they overlap at the transition point? Our results reveal, among many things, the following. (i) For very closely spaced twin jets in the side-by-side configuration phased feedback based on source to nozzle exit distance of adjacent jets does not fully explain the coupling modes. However, the 'null' phase regions surrounding the jets where the phase of an acoustic wavefront (arriving from downstream) does not vary appears to correlate well with the existence of the symmetric mode. When the 'null' regions of adjacent jets do not overlap antisymmetric coupling occurs and when they do overlap the jets couple symmetrically. We provide a simple correlation using a parameter (a) that can be used as a simple test to determine the mode of coupling. (ii) The switch from the antisymmetric to the symmetric mode of coupling appears to occur because of an abrupt shift in the effective screech source from the third to the fourth shock, which in turn causes the 'null' phase region surrounding the jets to grow abruptly and overlap. (iii) The two modes are mutually exclusive. Our results provide considerable insight into the twin-jet coupling problem and offer hope for designing twin-jet configurations that minimize damage to aircraft components.
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- Title
- TOWARDS COMPREHENSIVE COUNTERMEASURES AGAINST CYBER ATTACKS TO IMPROVE SYSTEM SURVIVABILITY
- Creator
- Wang, Li
- Date
- 2012-11-20, 2012-12
- Description
-
Survivability refers to the capability of a system to ful ll its mission, in a timely manner, in the presence of attacks, failures, or...
Show moreSurvivability refers to the capability of a system to ful ll its mission, in a timely manner, in the presence of attacks, failures, or accidents. For many distributed systems, ensuring their survivability under directed attacks is critical. Tra c analysis, conducted by the attacker, could reveal the protocol being carried out by the components. Furthermore, having inferred the protocol, the attacker can use the pattern of the messages as a guide to the most critical components. In this thesis, we rst thwart these directed attacks by using message forwarding to reduce tra c di erences, thus diverge attackers from directed attack to random attack, which probabilistically prolongs the availability of important components in the system. Then, we investigate how to improve system availability when the system is under random attack. Although the attackers cannot di erentiate the di erences between critical and non-critical components, they can intelligently decide how to invest their resources by rationally selecting the number of components to attack. Under this case, how to maintain system reliability is another challenging issue. This thesis further discusses the attacker-defender problem and analyzes how to maximize system reliability under rational attacks. When one or more system processing elements are compromised by attackers, how to select applications and deploy their tasks to the remaining processing elements so that the system availability is maximized is also investigated in this thesis. To be more speci c, we assume the applications may have di erent values towards system availability and may or may not share the same composing tasks, and we presented two di erent approaches, i.e., Genetic Algorithm (GA) based approach and Max-Min-Min based approach to solving this problem. GA-based approach produces near optimal solutions and it can be used o -line when the performance is important and timing complexity is not the primary concern. While the Max-Min-Min based approach is computationally e cient and it is used when the timing is critical.
PH.D in Computer Science, December 2012
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- Title
- Zero CommunIITy: A Prototype for a Zero-Energy Residential Development (sequence unknown), IPRO 323 - Deliverables: IPRO 323 Project Plan F09
- Creator
- Bohac, Adam, Brady, David, Bueno, Juan, Coughlin, Daniel, Depalma, Lowell, Gonzalez, Juan, Gross, Josh, Hernandez, Carlos, Iversen, Jennifer, Mckinley, Keanen, Moceri, Michael, Modi, Nishant, Wisniewski, Anthony, Zacharias, Bryan
- Date
- 2009-12
- Description
-
The teams purpose is to seek a union between living comfortably and living sustainably. To design for a future Chicago‐area community, which...
Show moreThe teams purpose is to seek a union between living comfortably and living sustainably. To design for a future Chicago‐area community, which first minimizes its energy consumption and then uses the most sustainable methods to fulfill the remaining needs of the inhabitants. Ideally we will design a model community which will challenge conventions within the fields of design, planning, engineering, and everyday living. This community will also serve as an example to Chicago‐area municipalities about the benefits of sustainable planning, design, and living.
Sponsorship: Consultant from A. Epstein & Sons; Jeremy Poling
Deliverables for IPRO 323:Zero CommunIITy: A Prototype for a Zero-Energy Residential Development for the fall 2009 semester
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- Title
- Graduate Student Dwelling
- Creator
- Janica, H
- Date
- 5/4/2011, 2011-05
- Description
-
The project will seek to create an environment for that fosters living, community, and learning for graduate students at Illinois Institute of...
Show moreThe project will seek to create an environment for that fosters living, community, and learning for graduate students at Illinois Institute of Technology.
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- Title
- MOBILE ANDROID SENSOR SYSTEM FOR REAL-TIME PATIENT MONITORING AND HEALTHCARE APPLICATION
- Creator
- Yi, Won-jae
- Date
- 2012-04-25, 2012-05
- Description
-
A system using Android devices that collects, displays sensor data on the screen and streams to the central server in real-time is presented...
Show moreA system using Android devices that collects, displays sensor data on the screen and streams to the central server in real-time is presented in this research. Common Android devices, such as smartphones and tablets, are considered for this system to demonstrate its flexibility and compatibility of the application on any Android device. Bluetooth and wireless Internet connections are used for data transmission among the devices. Also, using Near Field Communication (NFC) technology on the smartphone, the system constructs a more efficient and convenient mechanism to achieve an automatic Bluetooth connection and an automatic application execution. This system is beneficial on Body Sensor Network (BSN) establishments for medical healthcare applications by adding wireless technology. Various types of sensors can be adapted to monitor a patient’s status in real-time. For demonstration purposes, an accelerometer, a temperature sensor and vital signs signal sensor data, including electrocardiography (ECG), blood pressure, electroencephalography (EEG) and respiration, are used to perform the experiment to provide fundamentals of remote patient diagnosis. Raw sensor data is interpreted to either graphical or text notations to be presented on the Android device and the central server. Furthermore, a Java-based central server application is introduced to demonstrate communication with the Android system for data storage and analysis through Internet connections. This system is capable of data transmission in real-time without exploiting system resources for data collection and interpretation. This system is also can be further extended for additional sensors, such as a sweatiness sensor, an electromyography (EMG) sensor, a glucose sensor and more for enhanced patient status diagnosis.
M.S. in Computer Engineering, May 2012
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- Title
- AN ANALYTICAL APPROACH TO REAL-TIME MISBEHAVIOR DETECTION IN IEEE 802.11 WIRELESS NETWORKS
- Creator
- Chen, Ying
- Date
- 2011-07, 2011-07
- Description
-
It is easy for the malicious nodes to take advantage of CSMA/CA based wireless protocols to gain unfair larger share of the network throughput...
Show moreIt is easy for the malicious nodes to take advantage of CSMA/CA based wireless protocols to gain unfair larger share of the network throughput because of the distributed nature of the IEEE 802.11 distributed coordination function (DCF). The backoff misbehavior will happen when one node deliberately chooses smaller backoff parameters. This paper adopts a promising non-parametric cumulative sum test (CUSUM) based scheme to quickly find abrupt changes in a process without prior knowledge of the statistics of the change occurrences. According to a Markov chain based analytical model, we can systematically study the real-time misbehavior detection results from CUSUM based method, thus quantitatively computer the system configuration parameters for guaranteed performance in terms of average false positive rate, average detection delay, and missed detection ratio.
M.S. in Computer Engineering, July 2011
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- Title
- Far Eastern Spatial Technique Untilized in Architectural Design
- Creator
- Qian, Zhao
- Date
- 2010-07-30
- Title
- Doing What I Say: Connecting Congressional Social Media Behavior and Congressional Voting
- Creator
- Shapiro, Matthew A., Hemphill, Libby, Otterbacher, Jahna
- Date
- 2012-03-10, 2012-03-10
- Description
-
Public officials’ communication has been explored at length in terms of how such their statements are conveyed in the traditional media, but...
Show morePublic officials’ communication has been explored at length in terms of how such their statements are conveyed in the traditional media, but minimal research has been done to examine their communication via social media. This paper explores the kinds of statements U.S. officials are making on Twitter in terms of the actions they are trying to achieve. We then analyze the correlation between these statements, Congressional communication network structures, and voting behavior. Our analysis leverages over 29,000 tweets by members of Congress in conjunction with existing DW-NOMINATE voting behavior data. We find that pro-social and self-promoting statements correlate with Congressional voting records but that position within the Congressional communication network does not correlate with voting behavior.
Sponsorship: Social Networks Research Group at IIT, IIT Graduate College
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- Title
- IMPACT OF THERMAL AND HIGH PRESSURE PROCESSING ON THE ANTIGENICITY AND DETECTABILITY OF EGG AND MILK ALLERGENS
- Creator
- Yang, Shuopeng
- Date
- 2013, 2013-12
- Description
-
Cow’s milk allergy and egg allergy are the two most prevalent food allergies in the United States. Enzyme-linked immunosorbent assay (ELISA),...
Show moreCow’s milk allergy and egg allergy are the two most prevalent food allergies in the United States. Enzyme-linked immunosorbent assay (ELISA), based on antigen-antibody reactions, is the most popular method used by the food industry to detect allergen residues. Thermal treatments are the traditional food processing methods, while high pressure processing (HPP) has increasingly been applied as an alternative food processing technology. This research examined how thermal and high pressure processing may affect the antigenicity and detectability of milk and egg allergens. The first part of this study examined the performance of four ELISA test kits (Veratox for Total Milk Allergen, Biokits BLG Assay Kit, ELISA Systems Casein and BLG Residue Assays) for quantitation of milk residues in packaged foods that have been subjected to different degrees of processing. Whether standard reference materials (SRM) can be used to compare the relative performance of these test kits was also examined. Commercial food products including ice creams, cookies, fried fish sticks, and canned soups were chosen to represent foods that have been pasteurized, baked, fried, and autoclaved, respectively. Calcium caseinate, NIST non-fat dry milk (NFDM) SRM #1549 and USDA certified whey protein were used as reference standards. Veratox and ELISA Systems Casein kits, both of which use NFDM as the calibrator, showed similar readings for ice cream. However, the Casein kit tended to register a lower level of milk residues in other thermal processed products, especially for canned soup where the test kit showed a 50-fold lower level of milk residue than that reported by the Veratox kit. Using whey protein as a reference standard, the two BLG test kits showed a similar level of whey protein equivalent in ice cream, but for fish stick, cookie, and canned soup samples, the x ELISA Systems BLG kit registered values about 4-, 39-, and 17-fold lower than the values obtained by the Biokits BLG test kit, suggesting that the ELISA Systems kit has a greatly reduced sensitivity for foods that have received heat treatments. When using NIST NFDM as the reference standard, the Veratox and Biokits registered the same level of NFDM equivalent in ice cream, but the Biokits gave a higher level for the fish, cookies, and soup samples, indicating that this kit has a better sensitivity for heat processed food. Overall, different test kits registered different levels of milk even for the same commercial sample. The use of common reference materials provides a means for comparison, but the quantitation of milk residues is still complicated by the different heat sensitivity of each test kit. The second part of this study evaluated the impact of thermal processing on the solubility and antigenicity of egg allergens. Solutions (5 mg/ml sample in PBS) of Henningsen dehydrated whole egg, ovalbumin (OVA), and ovomucoid (OVO) were subjected to three different thermal processing conditions (heated in water at 60℃, 100℃, and autoclaved) for 10 minutes. The solubility of the unheated and heat-treated samples was determined by the BCA total protein assay. Changes in the antigenicity (IC50 value) of egg proteins after thermal treatments were determined by inhibition ELISA. Differences in the antigenicity determined as affected by the use of different target protein, coating antigen, and primary antibody were determined. At 60℃, the solubility and antigenicity of heat treated samples showed similar results as those of untreated sample. For sample treated under other conditions, different heat treatments affect the solubility of egg protein samples differently. Different heat processes, different antigen-antibody combinations, and different extraction methods could affect the IC50 values xi differently, which means the antigenicity changed differently due to different influence factors (e.g. IC50 values of OVO always increased after boiling or autoclaving treatment no matter which coating antigen and primary antibody chose, however OVA and whole egg powder showed uncertain changes). The last part of this study evaluated the impact of high pressure processing on the solubility, antigenicity, and the detectability of egg allergens. Solutions of dehydrated whole egg, OVA, OVO, and Egg Beater (ConAgra Foods) were subjected to high pressure treatments for 3 min under 4 conditions (400MPa 20℃, 400MPa 60℃, 600MPa 20℃, and 600MPa 60℃). The amount of protein in the high pressure treated samples was determined by BCA assay and the Veratox egg allergen test kits. Changes in protein antigenicity were determined by inhibition ELISA assay. The results showed that high pressure treatments under all 4 conditions did not affect the solubility and antigenicity of the egg proteins in the treated samples. HPP did not affect the detectability of these proteins by Veratox test either.
M.S. in Food Safety and Technology, December 2013
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- Title
- Modeling, monitoring and control strategies for high temperature short time pasteurization systems - 1. Empirical model development
- Creator
- Negiz, A., Ramanauskas, P., Cinar, A., Schlesser, J. E., Armstrong, D. J.
- Date
- 1998-02
- Publisher
- ELSEVIER SCI LTD
- Description
-
Dynamic models of high temperature short time (HTST) pasteurization systems can be developed by using empirical model development paradigms...
Show moreDynamic models of high temperature short time (HTST) pasteurization systems can be developed by using empirical model development paradigms such as transfer functions and times series models. Properly designed experiments that excite all output variables provide good data that enable the development of accurate dynamic models. These models are used in feedback control and statistical process monitoring system design. The methodology for time series model development for HTST pasteurization processes is illustrated by using data collected from a pilot scale HTST pasteurization system.
Endnote format citation
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- Title
- OPERATION AND PLANNING OF COORDINATED NATURAL GAS AND ELECTRICITY INFRASTRUCTURES
- Creator
- Zhang, Xiaping
- Date
- 2015, 2015-07
- Description
-
Natural gas is becoming rapidly the optimal choice for fueling new generating units in electric power system driven by abundant natural gas...
Show moreNatural gas is becoming rapidly the optimal choice for fueling new generating units in electric power system driven by abundant natural gas supplies and environmental regulations that are expected to cause coal-fired generation retirements. The growing reliance on natural gas as a dominant fuel for electricity generation throughout North America has brought the interaction between the natural gas and power grids into sharp focus. The primary concern and motivation of this research is to address the emerging interdependency issues faced by the electric power and natural gas industry. This thesis provides a comprehensive analysis of the interactions between the two systems regarding the short-term operation and long-term infrastructure planning. Natural gas and renewable energy appear complementary in many respects regarding fuel price and availability, environmental impact, resource distribution and dispatchability. In addition, demand response has also held the promise of making a significant contribution to enhance system operations by providing incentives to customers for a more flat load profile. We investigated the coordination between natural gas-fired generation and prevailing nontraditional resources including renewable energy, demand response so as to provide economical options for optimizing the short-term scheduling with the intense natural gas delivery constraints. As the amount and dispatch of gas-fired generation increases, the long-term interdependency issue is whether there is adequate pipeline capacity to provide sufficient gas to natural gas-fired generation during the entire planning horizon while it is widely used outside the power sector. This thesis developed a co-optimization planning model by incorporating the natural gas transportation system into the multi-year resource and transmission system planning problem.This consideration would provide a more comprehensive decision for the investment and accurate assessment for system adequacy and reliability. With the growing reliance on natural gas and widespread utilization of highly efficient combined heat and power (CHP), it is also questionable that whether the independent design of infrastructures can meet potential challenges of future energy supply. To address this issue, this thesis proposed an optimization framework for a sustainable multiple energy system expansion planning based on an energy hub model while considering the energy efficiency, emission and reliability performance. In addition, we introduced the probabilistic reliability evaluation and flow network analysis into the multiple energy system design in order to obtain an optimal and reliable network topology.
Ph.D. in Electrical and Computer Engineering, July 2015
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