981 resultados para Bank of Maryland, Baltimore.
Resumo:
In a microscopic setting, humans behave in rich and unexpected ways. In a macroscopic setting, however, distinctive patterns of group behavior emerge, leading statistical physicists to search for an underlying mechanism. The aim of this dissertation is to analyze the macroscopic patterns of competing ideas in order to discern the mechanics of how group opinions form at the microscopic level. First, we explore the competition of answers in online Q&A (question and answer) boards. We find that a simple individual-level model can capture important features of user behavior, especially as the number of answers to a question grows. Our model further suggests that the wisdom of crowds may be constrained by information overload, in which users are unable to thoroughly evaluate each answer and therefore tend to use heuristics to pick what they believe is the best answer. Next, we explore models of opinion spread among voters to explain observed universal statistical patterns such as rescaled vote distributions and logarithmic vote correlations. We introduce a simple model that can explain both properties, as well as why it takes so long for large groups to reach consensus. An important feature of the model that facilitates agreement with data is that individuals become more stubborn (unwilling to change their opinion) over time. Finally, we explore potential underlying mechanisms for opinion formation in juries, by comparing data to various types of models. We find that different null hypotheses in which jurors do not interact when reaching a decision are in strong disagreement with data compared to a simple interaction model. These findings provide conceptual and mechanistic support for previous work that has found mutual influence can play a large role in group decisions. In addition, by matching our models to data, we are able to infer the time scales over which individuals change their opinions for different jury contexts. We find that these values increase as a function of the trial time, suggesting that jurors and judicial panels exhibit a kind of stubbornness similar to what we include in our model of voting behavior.
Resumo:
In this dissertation I study the development of urban areas. At the aggregate level I investigate how they may be affected by climate change policies and by being designated the seat of governmental power. At the household level I study with coauthors how microfinance could improve the health of urban residents. In Chapter 1, I investigate how local employment may be affected by electricity price increases, which is a likely consequence of climate change policies. I outline how previous studies that find large, negative effects may be biased. To overcome these biases I develop a novel estimation strategy that blends border-pair regressions with the synthetic control methodology. I show the conditions for consistent estimation. Using this estimator, I find no effect of contemporaneous price changes on employment. Consistent with the longer time-frame for manufacturing decisions, I do find evidence for negative effects from perceived permanent price shocks. These estimates are much smaller than previous research has found. National capital cities are often substantially larger than other cities in their countries. In Chapter 2, I investigate whether there is a causal effect from being a capital by studying the 1960 relocation of the Brazilian capital from Rio de Janeiro to Brasília. Using a synthetic controls strategy I find that losing the capital had no significant effects on Rio de Janeiro in terms of population, employment, or gross domestic product (GDP). I find that Brasília experienced large and significant increases in population, employment, and GDP. I find evidence of large spillovers from the public to the private sector. Chapter 3 investigates how microfinance could increase the uptake of costly health goods. We study the effect of time payments (micro-loans or micro-savings) on willingness-to-pay (WTP) for a water filter among households in the slums of Dhaka, Bangladesh. We find that time payments significantly increase WTP: compared to a lump-sum up-front purchase, median WTP increases 83% with a six-month loan and 115% with a 12-month loan. We find that households are quite patient with respect to consumption of health inputs. We find evidence for the presence of credit and savings constraints.
Resumo:
The thesis aims to exploit properties of thin films for applications such as spintronics, UV detection and gas sensing. Nanoscale thin films devices have myriad advantages and compatibility with Si-based integrated circuits processes. Two distinct classes of material systems are investigated, namely ferromagnetic thin films and semiconductor oxides. To aid the designing of devices, the surface properties of the thin films were investigated by using electron and photon characterization techniques including Auger electron spectroscopy (AES), X-ray photoelectron spectroscopy (XPS), grazing incidence X-ray diffraction (GIXRD), and energy-dispersive X-ray spectroscopy (EDS). These are complemented by nanometer resolved local proximal probes such as atomic force microscopy (AFM), magnetic force microscopy (MFM), electric force microscopy (EFM), and scanning tunneling microscopy to elucidate the interplay between stoichiometry, morphology, chemical states, crystallization, magnetism, optical transparency, and electronic properties. Specifically, I studied the effect of annealing on the surface stoichiometry of the CoFeB/Cu system by in-situ AES and discovered that magnetic nanoparticles with controllable areal density can be produced. This is a good alternative for producing nanoparticles using a maskless process. Additionally, I studied the behavior of magnetic domain walls of the low coercivity alloy CoFeB patterned nanowires. MFM measurement with the in-plane magnetic field showed that, compared to their permalloy counterparts, CoFeB nanowires require a much smaller magnetization switching field , making them promising for low-power-consumption domain wall motion based devices. With oxides, I studied CuO nanoparticles on SnO2 based UV photodetectors (PDs), and discovered that they promote the responsivity by facilitating charge transfer with the formed nanoheterojunctions. I also demonstrated UV PDs with spectrally tunable photoresponse with the bandgap engineered ZnMgO. The bandgap of the alloyed ZnMgO thin films was tailored by varying the Mg contents and AES was demonstrated as a surface scientific approach to assess the alloying of ZnMgO. With gas sensors, I discovered the rf-sputtered anatase-TiO2 thin films for a selective and sensitive NO2 detection at room temperature, under UV illumination. The implementation of UV enhances the responsivity, response and recovery rate of the TiO2 sensor towards NO2 significantly. Evident from the high resolution XPS and AFM studies, the surface contamination and morphology of the thin films degrade the gas sensing response. I also demonstrated that surface additive metal nanoparticles on thin films can improve the response and the selectivity of oxide based sensors. I employed nanometer-scale scanning probe microscopy to study a novel gas senor scheme consisting of gallium nitride (GaN) nanowires with functionalizing oxides layer. The results suggested that AFM together with EFM is capable of discriminating low-conductive materials at the nanoscale, providing a nondestructive method to quantitatively relate sensing response to the surface morphology.
Resumo:
Previous studies have shown that extreme weather events are on the rise in response to our changing climate. Such events are projected to become more frequent, more intense, and longer lasting. A consistent exposure metric for measuring these extreme events as well as information regarding how these events lead to ill health are needed to inform meaningful adaptation strategies that are specific to the needs of local communities. Using federal meteorological data corresponding to 17 years (1997-2013) of the National Health Interview Survey, this research: 1) developed a location-specific exposure metric that captures individuals’ “exposure” at a spatial scale that is consistent with publicly available county-level health outcome data; 2) characterized the United States’ population in counties that have experienced higher numbers of extreme heat events and thus identified population groups likely to experience future events; and 3) developed an empirical model describing the association between exposure to extreme heat events and hay fever. This research confirmed that the natural modes of forcing (e.g., El Niño-Southern Oscillation), seasonality, urban-rural classification, and division of country have an impact on the number extreme heat events recorded. Also, many of the areas affected by extreme heat events are shown to have a variety of vulnerable populations including women of childbearing age, people who are poor, and older adults. Lastly, this research showed that adults in the highest quartile of exposure to extreme heat events had a 7% increased odds of hay fever compared to those in the lowest quartile, suggesting that exposure to extreme heat events increases risk of hay fever among US adults.
Resumo:
This dissertation project aims to establish Scandinavian trombone solo and chamber works as a major contribution to the trombone repertoire. From the late 19th century to modern day, Scandinavian composers have produced a steady output of trombone works of substantial musical quality. Deep-rooted in the traditions of strong military wind bands, Scandinavia has also produced an unusual number of trombone virtuosos, ranging from those holding positions in leading orchestras, and internationally renowned pedagogues, to trombonists enjoying careers as soloists. In this study I propose that it is the symbiotic relationship between strong performers and traditionally nationalist composers that created the fertile environment for the large number of popular trombone solo and chamber repertoire not seen in any other region besides the Paris Conservatory and its infamous test pieces. I also interpret the selected repertoire through the prism of nationalism and influence of folk music, and convey that the allure of the mystic Nordic folk influences enhances the appeal of the Scandinavian trombone repertoire to world-wide audiences and performers. The dissertation project was realized over three solo recitals, each showcasing the music of Sweden, Norway, and Denmark respectively. For each program, I looked to choose a standard work from the trombone solo repertoire, a work written for or by a native virtuoso, and a lesser-known work that warrants the attention of other performers for its musical qualities. The recital of Swedish music presented Mandrake in the Corner by Christian Lindberg, Subadobe by Frederik Högberg, A Christian Song by Jan Sandström, and Concertino for trombone and strings by Lars-Erik Larsson. The recital of Norwegian music presented Concerto for Trombone op. 76 by Egil Hovland, Ordner Seg by Øystein Baadsvik, Elegi by Magne Amdahl, and Concerto in F major by Ole Olsen. The recital of Danish music presented Rapsodia Borealis by Søren Hyldgaard, Madrigal by Bo Gunge, Romance for trombone and piano by Axel Jørgensen, Concerto for trombone by Launy Grøndahl, and Three Swedish Tunes by Mogens Andresen. Through the performance of works from these three countries, the dissertation establishes Scandinavia as a rich source of solo trombone repertoire perpetuated by nationalist composers and virtuosos, as well as providing a brief survey of Scandinavian trombone works of various instrumentation and difficulty levels to be enjoyed by student, professional, and amateur performers and their audience.
Resumo:
The burden of chronic diseases such as cancer is increasing in low and middle income countries around the globe. Nepal, one of the world’s poorest countries, is no exception to this trend, with lung cancer as the leading causes of cancer deaths. Despite this, limited data is available on the environmental and behavioral risk factors that contribute to the lung cancer etiology in Nepal. The objectives of this dissertation are to: 1) investigate the ethnic differences in consumption of local tobacco products and their role in lung cancer risk in Nepal; 2) evaluate urinary metabolite of 1,3-butadiene as a biomarker of exposure to combustion related household air pollution (CRHAP); 3) investigate the association between CRHAP exposure and lung cancer risk using urinary metabolite of 1,3-butadiene as a biomarker of exposure; 4) investigate the association between CRHAP exposure and lung cancer risk using questionnaire based measure of exposure. Lung cancer cases (n=606) and frequency matched controls (N=606) were recruited from B.P. Koirala Memorial Cancer Hospital. We obtained biological samples and information on lifestyles including cooking habits and type of fuels used. We used liquid chromatograph tandem mass spectrometer (LC-MS/MS) to quantify urinary metabolites of 1,3-butadiene in urine samples. We employed a combination of logistic and linear regression models to detect any exposure-disease associations while controlling for known confounding variables. Overall, we found that ethnic groups in Nepal use different tobacco products that have different differing cancer potency -we observed the highest odds ratios for the traditional tobacco products. The biomarker analysis showed strong evidence that monohydroxybutyl mercapturic acid is associated with biomass fuel use among participants. However, we did not find significant association between urinary MHMBA and lung cancer risk. When we used questionnaire based measure of exposure to household air pollution, we observed significant, dose-response associations between CRHAP exposure and lung cancer risk, particularly among never-smokers. Our results show that important role of local tobacco products in lung cancer risk in Nepal. Furthermore, we demonstrate that CRHAP exposure is a risk factor for lung cancer risk, independent of tobacco smoking.
Resumo:
World War II was one of the most devastating events in history, and it profoundly affected European culture and art. I examined the period around World War II, and the effects it had on the lives of composers and their flute music. I investigated who wrote for flute during the war, what they were composing, and what effects, if any, the war had on them and their music. After examining the biographies of nine composers and studying eleven of their works, I found that in some cases the war affected their flute music, but in others the music shows no apparent influences of the war. Interestingly, most of the flute music written by composers affected by World War II was happy and joyful rather than dark and dismal. I performed three recitals during my research. I studied nine composers and performed some of their most important works for flute. Recital One is “Sonatas for Flute.” Recital Two is “Virtuosic Flute Music,” and my final recital is “Emotional Overview of Flute Music During World War II.” I discovered that many of these composers had to change their lives in drastic ways due to the war, but most them wrote music that had did not reflect the horror or destruction of war—perhaps music represented an escape from their horrible circumstances, or an effort to recall better times. I also found that a few of these composers used music to mock the Nazi regime. They used music as an emotional outlet, which could have been dangerous for them during that time. Other composers used music to share their own personal experiences while fighting in the war.
Resumo:
This study examined the perspectives and “shared knowledge” of parents and teachers of boys of color. The following overarching research question guided this study: “What do parents and teachers want each other to know about their middle school son or student of color regarding academics, engagement, and behavior?” Additionally, it explored the challenges and opportunities for shared knowledge and understanding of their (respective) son’s’ or students’ academics and engagement. The methodology was qualitative in nature and the intent in conducting this case study was to describe, interpret, and explain the “shared knowledge” between these stakeholders at a predominantly minority middle school. A sample of seven parents and seven teachers from one school in a mid-Atlantic state participated in interviews and focus groups. Results indicated that parents and teachers of boys of color viewed each other as “intentional allies.” Results further showed that parents and teachers were aware of the challenges faced by boys of color in and out of school. That awareness was reflected in strategies that both groups employed to support, prepare, and protect their son/students. Lastly, the study found that teachers received no formal training in building parent-teacher partnerships, but gathered experimental knowledge on how to build those relationships. These findings have implications for teacher education programs, schools, parents, and teachers.
Resumo:
The occurrence frequency of failure events serve as critical indexes representing the safety status of dam-reservoir systems. Although overtopping is the most common failure mode with significant consequences, this type of event, in most cases, has a small probability. Estimation of such rare event risks for dam-reservoir systems with crude Monte Carlo (CMC) simulation techniques requires a prohibitively large number of trials, where significant computational resources are required to reach the satisfied estimation results. Otherwise, estimation of the disturbances would not be accurate enough. In order to reduce the computation expenses and improve the risk estimation efficiency, an importance sampling (IS) based simulation approach is proposed in this dissertation to address the overtopping risks of dam-reservoir systems. Deliverables of this study mainly include the following five aspects: 1) the reservoir inflow hydrograph model; 2) the dam-reservoir system operation model; 3) the CMC simulation framework; 4) the IS-based Monte Carlo (ISMC) simulation framework; and 5) the overtopping risk estimation comparison of both CMC and ISMC simulation. In a broader sense, this study meets the following three expectations: 1) to address the natural stochastic characteristics of the dam-reservoir system, such as the reservoir inflow rate; 2) to build up the fundamental CMC and ISMC simulation frameworks of the dam-reservoir system in order to estimate the overtopping risks; and 3) to compare the simulation results and the computational performance in order to demonstrate the ISMC simulation advantages. The estimation results of overtopping probability could be used to guide the future dam safety investigations and studies, and to supplement the conventional analyses in decision making on the dam-reservoir system improvements. At the same time, the proposed methodology of ISMC simulation is reasonably robust and proved to improve the overtopping risk estimation. The more accurate estimation, the smaller variance, and the reduced CPU time, expand the application of Monte Carlo (MC) technique on evaluating rare event risks for infrastructures.
Resumo:
In 1964, the South Korean government designated the music for the sacrificial rite at the Royal Ancestral Shrine (Chongmyo) as Intangible Cultural Property No. 1, and in 2001 UNESCO awarded the rite and music a place in the Intangible Cultural Heritage of Humanity. The Royal Ancestral Shine sacrificial rite and music together have long been an admired symbol of Korean cultural history, and they are currently performed annually and publicly in an abridged form. While the significance of the modern version of the music mainly rests on the claimed authenticity and continuity of the tradition since the fifteenth century, scholarly inquiry sheds further light on contextual issues such as nationalism, identity, and modernity in the post-colonial era (after 1945), as well as providing additional insights into the music. This dissertation focuses on the Royal Ancestral Shrine’s musical past as reflected in documentary sources, especially those compiled in the eighteenth century during the Chosŏn dynasty (1392–1910). In particular, the substantial music section of an encyclopedic work, Tongguk Munhŏn pigo (Encyclopedia of Documents and Institutions of the East Kingdom, 1770), mainly compiled by a government official, Sŏ Myŏngŭng (1716–1787), provides a considerable amount of information on not only the music and sacrificial rite program, but also on eighteenth-century and earlier concerns about them, as discussed by the kings and ministers at the Chosŏn royal court. After detailed examination of various relevant documentary sources on the historical, social and political contexts, I investigate the various discourses on music and ritual practices. I then focus on Sŏ Myŏngŭng’s familial background, his writings on music prior to the compilation of the encyclopedia, and the corresponding content in the encyclopedia. I argue that Sŏ successfully converted the music section of the encyclopedia from a straightforward scholarly reference work to a space for publishing his own research on and interpretation of the musical past, illustrating what he considered to be the inappropriateness of the existing music for the sacrificial rite at the Royal Ancestral Shrine in the later eighteenth century.
Resumo:
Organized interests do not have direct control over the fate of their policy agendas in Congress. They cannot introduce bills, vote on legislation, or serve on House committees. If organized interests want to achieve virtually any of their legislative goals they must rely on and work through members of Congress. As an interest group seeks to move its policy agenda forward in Congress, then, one of the most important challenges it faces is the recruitment of effective legislative allies. Legislative allies are members of Congress who “share the same policy objective as the group” and who use their limited time and resources to advocate for the group’s policy needs (Hall and Deardorff 2006, 76). For all the financial resources that a group can bring to bear as it competes with other interests to win policy outcomes, it will be ineffective without the help of members of Congress that are willing to expend their time and effort to advocate for its policy positions (Bauer, Pool, and Dexter 1965; Baumgartner and Leech 1998b; Hall and Wayman 1990; Hall and Deardorff 2006; Hojnacki and Kimball 1998, 1999). Given the importance of legislative allies to interest group success, are some organized interests better able to recruit legislative allies than others? This question has received little attention in the literature. This dissertation offers an original theoretical framework describing both when we should expect some types of interests to generate more legislative allies than others and how interests vary in their effectiveness at mobilizing these allies toward effective legislative advocacy. It then tests these theoretical expectations on variation in group representation during the stage in the legislative process that many scholars have argued is crucial to policy influence, interest representation on legislative committees. The dissertation uncovers pervasive evidence that interests with a presence across more congressional districts stand a better chance of having legislative allies on their key committees. It also reveals that interests with greater amounts of leverage over jobs and economic investment will be better positioned to win more allies on key committees. In addition, interests with a policy agenda that closely overlaps with the jurisdiction of just one committee in Congress are more likely to have legislative allies on their key committees than are interests that have a policy agenda divided across many committee jurisdictions. In short, how groups are distributed across districts, the leverage that interests have over local jobs and economic investment, and how committee jurisdictions align with their policy goals affects their influence in Congress.
Resumo:
Simultaneous Localization and Mapping (SLAM) is a procedure used to determine the location of a mobile vehicle in an unknown environment, while constructing a map of the unknown environment at the same time. Mobile platforms, which make use of SLAM algorithms, have industrial applications in autonomous maintenance, such as the inspection of flaws and defects in oil pipelines and storage tanks. A typical SLAM consists of four main components, namely, experimental setup (data gathering), vehicle pose estimation, feature extraction, and filtering. Feature extraction is the process of realizing significant features from the unknown environment such as corners, edges, walls, and interior features. In this work, an original feature extraction algorithm specific to distance measurements obtained through SONAR sensor data is presented. This algorithm has been constructed by combining the SONAR Salient Feature Extraction Algorithm and the Triangulation Hough Based Fusion with point-in-polygon detection. The reconstructed maps obtained through simulations and experimental data with the fusion algorithm are compared to the maps obtained with existing feature extraction algorithms. Based on the results obtained, it is suggested that the proposed algorithm can be employed as an option for data obtained from SONAR sensors in environment, where other forms of sensing are not viable. The algorithm fusion for feature extraction requires the vehicle pose estimation as an input, which is obtained from a vehicle pose estimation model. For the vehicle pose estimation, the author uses sensor integration to estimate the pose of the mobile vehicle. Different combinations of these sensors are studied (e.g., encoder, gyroscope, or encoder and gyroscope). The different sensor fusion techniques for the pose estimation are experimentally studied and compared. The vehicle pose estimation model, which produces the least amount of error, is used to generate inputs for the feature extraction algorithm fusion. In the experimental studies, two different environmental configurations are used, one without interior features and another one with two interior features. Numerical and experimental findings are discussed. Finally, the SLAM algorithm is implemented along with the algorithms for feature extraction and vehicle pose estimation. Three different cases are experimentally studied, with the floor of the environment intentionally altered to induce slipping. Results obtained for implementations with and without SLAM are compared and discussed. The present work represents a step towards the realization of autonomous inspection platforms for performing concurrent localization and mapping in harsh environments.
Resumo:
The real-quaternionic indicator, also called the $\delta$ indicator, indicates if a self-conjugate representation is of real or quaternionic type. It is closely related to the Frobenius-Schur indicator, which we call the $\varepsilon$ indicator. The Frobenius-Schur indicator $\varepsilon(\pi)$ is known to be given by a particular value of the central character. We would like a similar result for the $\delta$ indicator. When $G$ is compact, $\delta(\pi)$ and $\varepsilon(\pi)$ coincide. In general, they are not necessarily the same. In this thesis, we will give a relation between the two indicators when $G$ is a real reductive algebraic group. This relation also leads to a formula for $\delta(\pi)$ in terms of the central character. For the second part, we consider the construction of the local Langlands correspondence of $GL(2,F)$ when $F$ is a non-Archimedean local field with odd residual characteristics. By re-examining the construction, we provide new proofs to some important properties of the correspondence. Namely, the construction is independent of the choice of additive character in the theta correspondence.
Resumo:
My dissertation presented seven violin concertos in three recital programs. Three of these concertos are acknowledged masterpieces performed in established concert venues throughout the world. They are the concertos of Mozart, Beethoven and Tchaikovsky. The other four are less standard and are composed by Viotti, Kreutzer, Rode and Spohr. These less standard concertos were popular during their time yet they seem not to have stood the test of time. A curriculum devoted exclusively to the standard concertos creates problems for the young violinist. The Mozart violin concertos are often the first standard concertos that the young violin student encounters. They are considered to be the least technically demanding of the standard concertos. The next most advanced standard concertos that the student will usually encounter are Bruch’s G minor concerto, Wieniawski’s D minor concerto and Barber’s concerto. The trouble is that the work on Mozart concertos does not adequately prepare a student for the next most advanced standard concerto. There is a discontinuous leap in the progression of technical difficulty between the Mozart concertos and the next most advanced concertos. Likewise the standard concerto repertoire provides no smooth historical or stylistic progression between the Mozart concertos and the next most advanced concertos. If the young violinist is limited to the standard repertoire then she has no smooth progression either technical, historical or stylistic. I seek to demonstrate that, by adding concertos of Spohr, Viotti, Kreutzer, and Rode to the standard violin curriculum, one could remedy this problem. The first and third recitals were performed in the Gildenhorn Recital Hall and the second recital in the School of Music’s Smith Lecture Hall, both at the University of Maryland. All three recitals can be found in the Digital Repository at the University of Maryland (DRUM).
Resumo:
The main purpose of the current study was to examine the role of vocabulary knowledge (VK) and syntactic knowledge (SK) in L2 listening comprehension, as well as their relative significance. Unlike previous studies, the current project employed assessment tasks to measure aural and proceduralized VK and SK. In terms of VK, to avoid under-representing the construct, measures of both breadth (VB) and depth (VD) were included. Additionally, the current study examined the role of VK and SK by accounting for individual differences in two important cognitive factors in L2 listening: metacognitive knowledge (MK) and working memory (WM). Also, to explore the role of VK and SK more fully, the current study accounted for the negative impact of anxiety on WM and L2 listening. The study was carried out in an English as a Foreign Language (EFL) context, and participants were 263 Iranian learners at a wide range of English proficiency from lower-intermediate to advanced. Participants took a battery of ten linguistic, cognitive and affective measures. Then, the collected data were subjected to several preliminary analyses, but structural equation modeling (SEM) was then used as the primary analysis method to answer the study research questions. Results of the preliminary analyses revealed that MK and WM were significant predictors of L2 listening ability; thus, they were kept in the main SEM analyses. The significant role of WM was only observed when the negative effect of anxiety on WM was accounted for. Preliminary analyses also showed that VB and VD were not distinct measures of VK. However, the results also showed that if VB and VD were considered separate, VD was a better predictor of L2 listening success. The main analyses of the current study revealed a significant role for both VK and SK in explaining success in L2 listening comprehension, which differs from findings from previous empirical studies. However, SEM analysis did not reveal a statistically significant difference in terms of the predictive power of the two linguistic factors. Descriptive results of the SEM analysis, along with results from regression analysis, indicated to a more significant role for VK.