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Title: SLIP-LINK MODELING OF ENTANGLED POLYMERS: RHEOLOGICAL APPLICATIONS AND EXTRACTING FRICTION FROM ATOMISTIC SIMULATION
Creator: Katzarova, Maria
Date: 2016, 2016-05
Description: The Discrete Slip-link Model (DSM) is a robust mesoscopic theory that has great success predicting the rheology of flexible entangled polymer...
Show moreThe Discrete Slip-link Model (DSM) is a robust mesoscopic theory that has great success predicting the rheology of flexible entangled polymer liquids and gels. In the most coarse-grained version of the DSM, we exploit the university observed in the shape of the relaxation modulus of linear monodisperse melts. For this type of polymer we present analytic expressions for the relaxation modulus. The high-frequency dynamics which are typically coarse-grained out from the DSM are added back into these expressions by using a Rouse chain with fixed ends. We find consistency in the friction used for both fast and slow modes. Using these analytic expressions, the polymer density, the molecular weight of a Kuhn step, Mk, and the low-frequency cross-over between the storage and loss moduli, G' and G", it is now straightforward to estimate model parameter values and obtain predictions over the experimentally accessible frequency range. Moreover it has previously been shown that the two static parameters can be obtained from primitive path analysis of molecular dynamics simulations. In this work, two ways are shown for obtaining the friction parameter (i) from atomistic simulations of short chains using the free-volume theory, and (ii) from atomistic simulations of entangled chains by scaling the chain center-of-mass mean-square displacement from the slip-link model to that of the atomistic simulation. Futhermore three standing challenges for molecular theories of polymers (i) predictions for uniaxial extension of star-branched polymer melts (ii) predictions for blends of star-branched and linear chains and (iii) predictions for normal stress differences in start-up of shear and followoing cessation are addressed here using the DSM. Additionally the DSM is used to predict the mechanical properties of a cross-linked polydimethylsiloxane (PDMS) network swollen with non-reactive entangled PDMS solvent. These successful predictions strongly suggest that the observed rheological modification in the swollen blend arises from the constraint dynamics between the network chains and the dangling ends.
Ph.D. in Chemical Engineering, May 2016
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Title: FoodLab - A revitalization strategy for the Pari yard, Sao Paulo - Brazil
Creator: Lussich Garese, Maria Fernanda
Date: 5/4/2011, 2011-05
Description: This project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an...
Show moreThis project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an operative landscape. A holistic system to harverst, clean and reuse the abundant summer rainfall was created in order to enable a highly sustainable urban redevelopment.
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Title: FoodLab - A revitalization strategy for the Pari yard, Sao Paulo - Brazil: MariaGarese_MastersProject_FinalBoard_FoodLab
Creator: Lussich Garese, Maria Fernanda
Date: 5/4/2011, 2011-05
Description: This project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an...
Show moreThis project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an operative landscape. A holistic system to harverst, clean and reuse the abundant summer rainfall was created in order to enable a highly sustainable urban redevelopment.
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Title: FoodLab - A revitalization strategy for the Pari yard, Sao Paulo - Brazil: MariaGarese_MastersProjectBook_FoodLab
Creator: Lussich Garese, Maria Fernanda
Date: 5/4/2011, 2011-05
Description: This project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an...
Show moreThis project aims to develop a new design strategy to redevelop the Pari yard and reclaim the adjacent Tamanduatei river by turning it into an operative landscape. A holistic system to harverst, clean and reuse the abundant summer rainfall was created in order to enable a highly sustainable urban redevelopment.
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Title: HEAT PUMPS IN DRINKING WATER UTILITY BUILDINGS
Creator: Colomer Pons, Ana Maria
Date: 2012-07-12, 2012-07
Description: In the United States each person consumes about 70 million BTUs per year in the residential sector, a tendency that is constantly growing...
Show moreIn the United States each person consumes about 70 million BTUs per year in the residential sector, a tendency that is constantly growing because of technology and society growth (EIA, 2011). The United States Department of Energy (USDOE, 1988) reported that heat pumps are energy efficient devices that can provide heating and cooling in residential and industrial buildings and also in households. According to Bernier (2006) heat pumps offer many advantages such as decreased space needs, higher efficiencies, and lower maintenance costs, and that is why they have been implemented in many regions throughout the United States as well as in many European countries. However, their use is many times hindered due to the high initial costs relative to conventional heating air conditioning ventilating systems (HVAC), technologies that are widely known and have been used for many years. The purpose of this thesis is to analyze the performance, economic feasibility, and greenhouse gas emission reduction of implementing heat pump devices in drinking water plants for heating and cooling needs inside the building. The proposed system is similar to groundwater heat pumps (described in an upcoming section) but instead of groundwater the heat pump relies on drinking water that has been treated in the plant and it is ready for its use. Groundwater has one main advantage because it is at a constant temperature year round (NRC, 2005) which gives the heat pump system stability in its behavior. Moreover, it is at a higher temperature than air in winter, and at a lower temperature than air in summer, which makes it an excellent candidate for heat transfer purposes in the refrigeration cycle. The four cases studies described in this work examine medium and high efficiency heat pumps installed in existing plants and new plants. Because drinking water is readily available after its treatment, the cost of drilling and grouting is avoided and this high quality water also avoids most of the problems related to quality of water such as scaling or fouling. This system gives a return of investment that is in all cases lower than six years. emissions are reduced by about 50 per cent because the use of a much more efficient device produces less for each kWh of heating or cooling delivered in the building.
M.S. in Environmental Engineering, July 2012
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Title: 'BUILDING' SKINS: EVALUATION OF THE DESIGN PROCESS FOR ENERGY EFFICIENT GLASS FAÇADES
Creator: Muro, Maria Palencia
Date: 2011-05-09, 2011-05
Description: The main significance of this Thesis is reinforcing the importance of validating the design decisions for glass façades in order to improve...
Show moreThe main significance of this Thesis is reinforcing the importance of validating the design decisions for glass façades in order to improve their energy performance and achieve an optimum interior space comfort without compromising its ability to adapt to future needs. Since the influence of glass façades in energy consumption is widely known and proved, and environmental and user needs change with time, this research encourages the evaluation of glass-wall designs in order to ensure high performing building envelopes. The research consists of three main parts. First, in relation to glass façade design there has been an analysis of glass components and its effects, an identification of the façade requirements, and a study of the technology behind the glass enclosure. Second, there has been a numerical evaluation of different glass-wall systems; glazing types, window-towall ratio and screening devices have been simulated for heating, cooling and lighting loads using TRNSYSlite, and COMFEN respectively. The combination of these results along with the study of the SHGC, U-value, Tvis, incident solar radiation and energy transmission and conduction, has concluded in a catalogue of glass-wall systems suitable for each orientation. Third, the numerical results have been applied in the design of a glass enclosure for an existing building in Chicago. The overall results of this research provide criteria to design a residential glass enclosure in Chicago that can improve its performance today, and can also be adapted to meet future space and environmental needs. Hopefully, architects will be encouraged to numerically evaluate their design intentions to obtain energy efficient and adaptable glass-wall designs.
M.S. in Architecture, May 2011
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Title: CHILD TEMPERAMENT AND PARENTING BEHAVIOR AT AGE 5: DO THEY PREDICT CHILD COPING AT AGE 6?
Creator: Hwang, Maria D’aniello
Date: 2014, 2014-07
Description: Coping has been shown to be related to many positive outcomes in children, including better psychological adjustment, positive social...
Show moreCoping has been shown to be related to many positive outcomes in children, including better psychological adjustment, positive social relationships and higher achievement. Additionally, coping abilities in childhood and adolescence can serve as risk or protective factors for psychopathology. Both parenting and child temperament have been shown to be related to child coping; however, these variables have never been examined simultaneously. The transition from kindergarten to grammar-school is considered to be important because children must learn to adjust to this critical, more structured environment. As a result, it is important to determine what factors contribute to adaptive coping at the time when children begin formal school. The aim of this study was to: (a) examine the relationship between child negative affect (NA), effortful control (EC), parenting variables (support/scaffolding, support/engagement, and hostility/coercion), and child coping; and (b) to determine if parenting moderates the effects of temperament on adaptive coping. Participants included 796 (391 males and 405 females) children and their primary caregivers. Children were assessed at ages 5 and 6 years. NA and EC were assessed by parent-report with the Child Behavior Questionnaire. EC also was assessed with an observer-rated task, Gift Delay, which measures the child’s ability to delay a prepotent response, and with two subtests from the NEPSY; Knock and Tap, and Statue. Parenting variables (support/engagement and hostility/coercion) were assessed by parent-report with the Parenting Behavior Inventory and through an observation task, which was assessed by a factor-analyzed composite of variables rated during the National Institute for Child Health and Human Development 3-Boxes Task (support/scaffolding). Coping adaptability was assessed using the Early Childhood Coping Puppet Interview. Results of hierarchical regression analyses indicated that NA, EC, support/scaffolding, support/engagement, and hostility/coercion were not related to child coping adaptability. There also was no evidence of moderation of the relationship between temperament and coping by parenting. Post hoc analyses indicated that for males, lower SES was related to more adaptive coping. Implications of these findings and suggestions for further research are discussed.
Ph.D. in Psychology, July 2014
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Title: A CONCEPTUAL ENERGY DESIGN FOR O’HARE INTERNATIONAL AIRPORT USING WIND AND BUILDING INTEGRATED PHOTOVOLTAIC SYSTEMS
Creator: Gomez Soriano, Maria
Date: 2014, 2014-12
Description: Commercial buildings account for approximately 18% of the total energy use in the United States, although only 7% of this consumption is...
Show moreCommercial buildings account for approximately 18% of the total energy use in the United States, although only 7% of this consumption is currently supplied by renewable energy sources, including hydropower, biomass, geothermal, wind, and solar heat and photovoltaics. This is a low percentage and it is imperative to explore potentials for using a combination of renewable energy systems to increase this percentage, particularly for large establishments with large land areas and existing facilities that can support large amounts of renewable energy technologies, such as airports. O’Hare International Airport (ORD), located in Chicago (Illinois), has been selected for this research, with the main purpose of supplying the maximum possible amount of the airport energy demand by a proposed wind and solar hybrid system. The first part of this research includes a wind energy system design performed using wind speed data at ORD locations and determining a suitable number and type of turbines loacted within the airport premises. Special considerations are made for for height, turbine locations, and prevailing wind directions. The second part of the study involves design of solar photovoltaic panel arrays both for existing terminals as well as for a proposed new terminal. The design of the arrays includes considerations for optimal energy production with varying installation angles as well as the number of sunny days useful for sun energy harvesting. Finally, the total electricity output from the hybrid system is estimated and compared with the total and monthly electricity demand at ORD. Results show that a considerable percentage of the electricity demand at ORD can be obtained through the wind and solar hybrid system. Specifically, if the airport authority decides on a new terminal, the integration of PV panels with the new terminal structure can be optimized such that the pecentage of total electricty demand at ORD could be met by more than 50% on-site renewable energy sources. An analysis of potential return in investment reveals that economically such a design is viable and can result in sizeable annual savings over a 20-year investment period.
M.S. in Civil, Architectural and Environmental Engineering, December 2014
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Title: Textile Openings
Creator: Carvallo, Maria Paulina
Date: 2011-12-06, 2011-12
Description: A facade may serve many functions throughout the life of a building, but the primary purpose of a building’s facade is to protect the interior...
Show moreA facade may serve many functions throughout the life of a building, but the primary purpose of a building’s facade is to protect the interior of a structure from the outside environment. By examining an element of every facade design, its openings, one may also find solutions to other design and layout questions concerning a building’s interior. Textile facades show potential as new and interesting materials for facade design. However, textile facades must reinvent or adapt standard facade elements such as windows, doors, and other openings within the constraints of the material properties exhibited by textiles. This thesis explores potential facade opening mechanisms, including technical and natural examples. Details of textile facades are considered, including laser cutting of polyester fabrics, textile material properties and tension deformation, and a variety of textile facade designs. Furthermore, a standardized design workflow and process for considering multiple environmental variables present in and around facades, such as solar thermal, day lighting, ventilation, and identity, are discussed and illustrate that the methodology applied herein can be used to predict other applications of textiles.
M.S. in Architecture, December 2011
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Title: ANYTIME ACTIVE LEARNING DISSERTATION
Creator: Ramirez Loaiza, Maria E.
Date: 2016, 2016-05
Description: Machine learning is a subfield of artificial intelligence which deals with algorithms that can learn from data. These methods provide...
Show moreMachine learning is a subfield of artificial intelligence which deals with algorithms that can learn from data. These methods provide computers with the ability to learn from past data and make predictions for new data. A few examples of machine learning applications include automated document categorization, spam detection, speech recognition, face detection and recognition, language translation, and self-driving cars. A common scenario for machine learning is supervised learning where the algorithm analyzes known examples to train a model that can identify a concept. For instance, given example documents that are pre-annotated as personal, work, family, etc., a machine learning algorithm can be trained to automate organizing your documents folder. In order to train a model that makes as few mistakes as possible, the algorithm needs many training examples (e.g., documents and their categories). Obtaining these examples often involves consulting the human user/expert whose time is limited and valuable. Hence, the algorithm needs to utilize the human’s time as efficiently as possible by focusing on the most cost-effective and informative examples that would make learning more efficient. Active learning is a technique where the algorithm selects which examples would be most cost-effective and beneficial for consultation with the human. In a typical active learning setting, the algorithm simply chooses the examples that should be asked to the expert. In this thesis, we take this one step further: we observe that we can make even better use of the expert’s time by showing not the full example but only the relevant pieces of it, so that the expert can focus on what is relevant and can provide the answer faster. For example, in document classification, the expert does not need to see the full document to categorize it; if the algorithm can show only the relevant snippet to the expert, the expert should be able to categorize the document much faster. However, automatically finding the relevant snippet is not a trivial task; showing an incorrect snippet can either hinder the expert’s ability to provide an answer at all (if the snippet is irrelevant) or even cause the expert to provide incorrect information (if the snippet is misleading). For this to work, the algorithm needs to find a snippet to show the expert, estimate how much time the expert will spend on that snippet, and predict if the expert will return an answer at all. Further, the algorithm would estimate the likelihood of the expert returning the correct answer. Similar to anytime algorithms that can find better solutions as they are given more time, we call the proposed set of methods anytime active learning where the experts are expected to give better answers as they are shown longer snippets. In this thesis, we focus on three aspects of anytime active learning: i) anytime active learning with document truncation where the algorithm assumes that the first words, sentences, and paragraphs of the document are most informative and it has to decide on the snippet length, i.e., where to truncate the document, ii) given a document, the algorithm optimizes for both snippet location and length, and lastly, iii) the algorithm chooses not only the snippet location and size but also chooses which documents to choose snippets from so that the snippet length, the correctness of the expert’s response, and the informativeness of the document are all optimized in a unified framework.
Ph.D. in Computer Science, May 2016
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Title: TEMPERAMENT AND CHILD AGENCY/PERSISTENCE: ARE THEY RELATED TO EARLY ACADEMIC ACHIEVEMENT?
Creator: D’aniello, Maria Elizabeth
Date: 2011-04-23, 2011-05
Description: It is well-known that early academic achievement is a significant predictor of later achievement. Thus, a number of studies have examined...
Show moreIt is well-known that early academic achievement is a significant predictor of later achievement. Thus, a number of studies have examined predictors of early academic achievement, but these have focused mainly on parenting variables, with relatively little attention paid to child variables, specifically temperament, or other child characteristics that may be related to early academic achievement. The aim of this study was to: (a) examine the relationship between child negative affect (NA), effortful control (EC), behavioral inhibition (BI), and agency/persistence and academic achievement; and (b) to determine if EC and agency/persistence moderated this relationship. Participants included 690 (322 males and 358 females) 5-year-old children and their primary caregivers. NA and EC were assessed by parent-report with the Child Behavior Questionnaire (CBQ). EC also was assessed with an observer-rated task, Gift Delay, which measures the child’s ability to delay a prepotent response. BI was assessed with two subtests from the NEPSY; Knock and Tap, and Statue. Child agency/persistence was assessed by a factor-analyzed composite of variables rated during the NICHD 3-Boxes Task. Letter-Word Identification, Passage Comprehension, and Quantitative Concepts subtests of the Woodcock-Johnson III were used as the measures of academic achievement. Results of hierarchical regression analyses indicated that NA, EC, BI and Agency/Persistence were not related to reading achievement, but BI and agency/persistence were related to math achievement. There also was no evidence of moderation of NA by EC or child agency/persistence. Implications of these findings and suggestions for further research are discussed.
M.S. in Psychology, May 2011
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Title: Mixture models for rating data: the method of moments via Groebner bases
Creator: Iannario, Maria, Simone, Rosaria
Date: 2017, 2017-12-26
Description: A recent thread of research in ordinal data analysis involves a class of mixture models that designs the responses as the combination of the...
Show moreA recent thread of research in ordinal data analysis involves a class of mixture models that designs the responses as the combination of the two main aspects driving the decision pro- cess: a feeling and an uncertainty components. This novel paradigm has been proven flexible to account also for overdispersion. In this context, Groebner bases are exploited to estimate model parameters by implementing the method of moments. In order to strengthen the validity of the moment procedure so derived, alternatives parameter estimates are tested by means of a simulation experiment. Results show that the moment estimators are satisfactory per se, and that they significantly reduce the bias and perform more efficiently than others when they are set as starting values for the Expectation-Maximization algorithm.
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Collection: Journal of Algebraic Statistics

Title: CASE-ADAPTIVE PROCESSING FOR IMPROVING ACCURACY IN COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER
Creator: Sainz De Cea, Maria Victoria
Date: 2018, 2018-05
Description: Breast cancer is the most commonly diagnosed cancer among women (apart from skin cancer) in the US. If detected early, the five-year survival...
Show moreBreast cancer is the most commonly diagnosed cancer among women (apart from skin cancer) in the US. If detected early, the five-year survival rate is 99%. Because of this, early detection of breast cancer has been an extensively studied topic over the years, and screening mammography is the gold standard for this purpose. Microcalcifications (MCs) are tiny calcium deposits that appear as bright spots in mammogram images, and they can be an early sign of breast cancer in asymptomatic women. Computer aided diagnosis (CAD) tools can be used to assist radiologists in detecting MCs and classifying them as benign or malignant. CAD of breast cancer is often hampered by the presence of false positives (FP) among the detected MCs when a reasonable sensitivity level is achieved. The FPs can be caused by MC-like noise, linear structures, etc. Due to the wide range of factors causing FPs, there is a great inter-patient variability, which can degrade the performance of CAD systems. In this work, we aim to reduce the inter-patient variability of CAD systems in order to improve the performance in both MC detection (Computer aided detection or CADe) and classification of MC clusters (Computer aided diagnosis or CADx). The first part of this thesis focuses on MC detection. We first develop a framework for estimating the accuracy in detection of individual MCs within a lesion region. This framework is general and can be applied to any MC detector. The number of FP detections can vary greatly from patient to patient, so having this knowledge will be useful to make decisions in both CADe and CADx systems. Secondly, we present a case-adaptive method for CADe based on Bayes’ risks, where a distribution is fit to the FPs from a mammogram under consideration, based on which the optimal detection threshold is determined for each patient. Finally we present an outlier approach for detection of individual MCs in a lesion region. This approach is based on the fact that individual MCs are usually different from the FPs (brighter, larger in extent), so they can be detected as statistical outliers. The outlier detection is done in a case-by-case basis, which can yield not only a reduction in the number of FPs but also an increase on the uniformity of the detection accuracy among different cases. The second part of the thesis is focused on CADx. We apply the methods developed in the first part to improve the uniformity and performance in the classification of detected lesions as benign or malignant. For this purpose we first present a quality factor approach for adjusting the contribution of the detected individual MCs to the final feature set. Those detections with a higher quality factor can have more impact in the final features, therefore mitigating the effect of the FP detections. Finally, we use the estimated detection accuracy to determine the optimal detection operating threshold. This is shown to boost the CADx performance.
Ph.D. in Electrical Engineering, May 2018
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Title: Phylogenetic invariants for group-based models, AS2012 Special Volume, part 1: This issue includes a second series of papers from talks, posters and collaborations resulting from and inspired by the Algebraic Statistics in the Alleghenies Conference at Penn State, which took place in July 2012.
Creator: Donten-Bury, Maria, Michalek, Mateusz
Date: 2012, 2012
Description: In this paper we investigate properties of algebraic varieties representing group-based phylogenetic models. We propose a method of generating...
Show moreIn this paper we investigate properties of algebraic varieties representing group-based phylogenetic models. We propose a method of generating many phylogenetic invariants. We prove that we obtain all invariants for any tree for the two-state Jukes-Cantor model. We conjecture that for a large class of models our method can give all phylogenetic invariants for any tree. We show that for 3-Kimura our conjecture is equivalent to the conjecture of Sturmfels and Sullivant [22, Conjecture 2]. This, combined with the results in [22], would make it possible to determine all phylogenetic invariants for any tree for 3-Kimura model, and also other phylogenetic models. Next we give the (first) examples of non-normal varieties associated to general group-based model for an abelian group. Following Kubjas [17] we prove that for many group-based models varieties associated to trees with the same number of leaves do not have to be deformation equivalent.
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Collection: Journal of Algebraic Statistics

Title: Inference for Ordinal Log-Linear Models Based on Algebraic Statistics, Special Volume in honor of memory of S.E.Fienberg
Creator: Pham, Thi Mui, Kateri, Maria
Date: 2019, 2019-04-12
Description: Tools of algebraic statistics combined with MCMC algorithms have been used in contingency table analysis for model selection and model fit...
Show moreTools of algebraic statistics combined with MCMC algorithms have been used in contingency table analysis for model selection and model fit testing of log-linear models. However, this approach has not been considered so far for association models, which are special log-linear models for tables with ordinal classification variables. The simplest association model for two-way tables, the uniform (U) association model, has just one parameter more than the independence model and is applicable when both classification variables are ordinal. Less parsimonious are the row (R) and column (C) effect association models, appropriate when at least one of the classification variables is ordinal. Association models have been extended for multidimensional contingency tables as well. Here, we adjust algebraic methods for association models analysis and investigate their eligibility, focusing mainly on two-way tables. They are implemented in the statistical software R and illustrated on real data tables. Finally the algebraic model fit and selection procedure is assessed and compared to the asymptotic approach in terms of a simulation study.
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Collection: Journal of Algebraic Statistics

Title: An Euclidean norm based criterion to assess robots’ 2D path-following performance, AS2015 Special Issue articles: This issue includes a series of papers from talks, posters and collaborations resulting from and inspired by the Algebraic Statistics Conference held in Genoa, Italy, in June 2015. Special issue guest editors: Piotr Zwiernik and Fabio Rapallo.
Creator: Saggini, Eleonora, Torrente, Maria-Laura
Date: 2016, 2016-07-12
Description: A current need in the robotics field is the definition of methodologies for quantitatively evaluating the results of experiments. This paper...
Show moreA current need in the robotics field is the definition of methodologies for quantitatively evaluating the results of experiments. This paper contributes to this by defining a new criterion for assessing path-following tasks in the planar case, that is, evaluating the performance of robots that are required to follow a desired reference path. Such criterion comes from the study of the local differential geometry of the problem. New conditions for deciding whether or not the zero locus of a given polynomial intersects the neighbourhood of a point are defined. Based on this, new algorithms are presented and tested on both simulated data and experiments conducted at sea employing an Unmanned Surface Vehicle.
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Collection: Journal of Algebraic Statistics

Title: Mothers’ Vaccination Decision: The Relation Between Science Skepticism, Social Networks, Vaccination Beliefs, and Fear of ASD
Creator: Lockwood, Maria Izabel Kugelmas Guarita
Date: 2021
Description: Vaccines are instrumental in stopping the spread of disease, yet some parents choose to not vaccinate their children. Despite scientific...
Show moreVaccines are instrumental in stopping the spread of disease, yet some parents choose to not vaccinate their children. Despite scientific evidence that childhood vaccines are safe, there is an increasing number of children in the United States and the United Kingdom who are not getting vaccinated. The current study investigates different factors that may be associated with mothers’ decision to vaccinate their children. This study examines the relations between skepticism in science, vaccination beliefs, fear of having a child with Autism Spectrum Disorder (ASD), social network recommendations, and maternal decision to vaccinate. Participants included 293 expectant mothers in the United States and the United Kingdom. Results indicated that mothers who are pro-vaccine and mothers who are vaccine-hesitant have different score profiles across scales that measure skepticism in science, vaccination beliefs, and fear of having a child with ASD. Specifically, we found that relative to mothers who are vaccine-hesitant, mothers who are pro-vaccine: (1) indicated less skepticism in science; (2) had fewer anti-vaccination beliefs; (3) did not statistically differ on their fear of having a child with ASD; and (4) had a smaller percentage of their social network advocating against vaccination. Thus, the study adds to the research literature, as it illustrates that mothers who are vaccine-hesitant differ from mothers who are pro-vaccine on key factors.
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Title: Cubature Rules and Expected Value of Some Complex Functions, Special Volume in honor of memory of S.E.Fienberg
Creator: Fassino, Claudia, Riccomagno, Eva, Rogantin, Maria Piera
Date: 2019, 2019-04-12
Description: The expected value of some complex valued random vectors is computed by means of the indicator function of a designed experiment as known in...
Show moreThe expected value of some complex valued random vectors is computed by means of the indicator function of a designed experiment as known in algebraic statistics. The general theory is set-up and results are obtained for finite discrete random vectors and the Gaussian random vector. The precision space of some cubature rules/designed experiments is determined.
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Collection: Journal of Algebraic Statistics

Title: A Family of Quasisymmetry Models
Creator: Kateri, Maria, Mohammadi, Fatemeh, Sturmfels, Bernd
Date: 2015, 2015-06-11
Description: We present a one-parameter family of models for square contingency tables that interpolates between the classical quasisymmetry model and its...
Show moreWe present a one-parameter family of models for square contingency tables that interpolates between the classical quasisymmetry model and its Pearsonian analogue. Algebraically, this corresponds to deformations of toric ideals associated with graphs. Our discussion of the statistical issues centers around maximum likelihood estimation.
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Collection: Journal of Algebraic Statistics

Title: Ghost City Chicago (Spring 2001) IPRO 355
Creator: Sandra, Bobby, Henry, Violette, Theresa, Edward, Maria, Joyce, Margaret
Date: 2001, 2001-05
Description: The IPRO team will develop a prototype for a computer graphic reconstruction of the built environment of Chicago. Beginning with the ghost...
Show moreThe IPRO team will develop a prototype for a computer graphic reconstruction of the built environment of Chicago. Beginning with the ghost city -- those buildings and environments which have been destroyed -- students will prepare a development plan for the necessary technologies to create, develop, distribute, market and protect this project as they make it available to a wide audience through appropriate computer technologies and media. It is now possible to recreate, in computer graphic form, the city of Chicago at any time in its past. Making the growth of the city visible would permit anyone to discover for oneself what it was like to be alive at anytime in the city's history - from Indian encampment to high-rise apartment. This would be visual -providing the ability to see the difference in light levels during different kinds of air quality or as the result of different kinds of artificial illumination (candle, lamp, gas or electric light); and it would also be aural, providing indications of sound, whether from the livestock near the stockyards, ships moving in the river, hearing hymns sung in a church, or the sound of workers walking at a shift change. It will be possible to move anywhere in the city and enter any building or environment. It will be possible to see the water and sewer systems being extended across the prairie, and then see the opening of streets, followed by the construction of buildings - houses, apartments, shops, schools, churches - along the newly opened streets. It will be possible to shop at the department stores of the Loop, or visit one's doctor, dentist or attorney in the Loop or one's own neighborhood; and at the same time see how thosevery structures developed and changed over time. This is an opportunity to apply well-understood ideas about the virtual city to the past. There are several requirements for the success of a large scale project: determination of how best to present the material (Web, CD, DVD, I-Max), selection of a common computer graphic language (VRML, Auto-Cad, Form-Z, Microstation), design of a robust and adaptive information technology architecture to accommodate the appropriate array of emerging and evolving computer technologies (hardware, software, distribution modes), development of thoughtful strategic business and marketing plans, and management of intellectual property. This is a continuation of a Spring 2000 IPRO project that has made significant progress in laying the foundation for continued work by new IPRO teams.
Sponsorship: IIT Internal R&D.
Project Plan for IPRO 355: Ghost City Chicago for the Spring 2001 semester
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