Comics as a Medium dor Inquiry: Urban Students (Re-)Designing Critical Social Worlds

Literacy scholars have argued that curricular remediation marginalizes the dynamic meaning-making practices of urban youth and ignores contemporary definitions of literacy as multimodal, socially situated, and tied to people\u27s identities as members of cultural communities. For this reason, it is imperative that school-based literacy research unsettle status quos by foregrounding the sophisticated practices that urban students enact as a result, and in spite of, the marginalization they manage in educational settings. A hopeful site for honoring the knowledge of urban students is the nexus of alternative learning spaces that have taken on increased significance in youths\u27 lives. Many of these spaces focus on young people\u27s engagements with new literacies, multimodalities, the arts, and popular media, taking the stance that students\u27 interests are inherently intellectual. The Cabrini Comics Inquiry Community (CCIC), located in a K-8 Catholic school in South Philadelphia, is one such space. The CCIC was the site of a practitioner research study from February 2012 to June 2014. For parts of three school years, students met weekly to read, write, design, and discuss graphica. As a practitioner researcher, the author extended pedagogic invitations for students to engage with the comics medium, and employed ethnographic tools to study learning outcomes. By examining how a group of urban students 1.) co-constructed the space of an afterschool inquiry community and 2.) mobilized the comics medium to (per)form cultural identities and engage in critical inquiries, this dissertation contributes to theories of critical multimodal/multicultural literacy education. The author surfaces ways in which students used the affordances of the comics medium to 1.) contest the silencing of race in their school, 2.) re-narrate themselves and their cultural backgrounds through resource orientations, and 3.) complicate gender discourses. (The verbal-visual form of comics has particular affordances for students to engage in acts of conscientious disruption outside the traditional literacy curriculum.) In all, this dissertation presents an argument for honoring urban students\u27 literate and cultural knowledge through their critical multimodal engagements. Through a blend of practitioner research and ethnographic tools, this work endeavors to challenge generalizations made about urban students and their literate lives

Spectral shifting strongly constrains molecular cloud disruption by radiation pressure on dust

${\bf Aim:}$ To test the hypothesis that radiation pressure from star clusters acting on dust is the dominant feedback agent disrupting the largest star-forming molecular clouds and thus regulating the star-formation process. ${\bf Methods:}$ We perform multi-frequency, 3D, RT calculations including scattering, absorption, and re-emission to longer wavelengths for clouds with masses of $10^4$-$10^7\,$M$_{\odot}$, with embedded clusters and a star formation efficiencies of 0.009%-91%, and varying maximum grain sizes up to 200$\,\mu$m. We calculate the ratio between radiative force and gravity to determine whether radiation pressure can disrupt clouds. ${\bf Results:}$ We find that radiation acting on dust almost never disrupts star-forming clouds. UV and optical photons to which the cloud is optically thick do not scatter much. Instead, they quickly get absorbed and re-emitted by at thermal wavelengths. As the cloud is typically optically thin to far-IR radiation, it promptly escapes, depositing little momentum. The resulting spectrum is more narrowly peaked than the corresponding Planck function with an extended tail at longer wavelengths. As the opacity drops significantly across the sub-mm and mm, the resulting radiative force is even smaller than for the corresponding single-temperature black body. The force from radiation pressure falls below the strength of gravitational attraction by an order of magnitude or more for either Milky Way or starbust conditions. For unrealistically large maximum grain sizes, and star formation efficiencies far exceeding 50% do we find that the strength of radiation pressure can exceed gravity. ${\bf Conclusions:}$ We conclude that radiation pressure acting on dust does not disrupt star-forming molecular clouds in any Local Group galaxies. Radiation pressure thus appears unlikely to regulate the star-formation process on either local or global scales.Comment: 20 pages, 17 figure

Monte Carlo simulation of the neutron spectral fluence and dose equivalent for use in shielding a proton therapy vault

Neutron production is of principal concern when designing proton therapy vault shielding. Conventionally, neutron calculations are based on analytical methods, which do not accurately consider beam shaping components and nozzle shielding. The goal of this study was to calculate, using Monte Carlo modeling, the neutron spectral fluence and neutron dose equivalent generated by a realistic proton therapy nozzle and evaluate how these data could be used in shielding calculations. We modeled a contemporary passive scattering proton therapy nozzle in detail with the MCNPX simulation code. The neutron spectral fluence and dose equivalent at various locations in the treatment room were calculated and compared to those obtained from a thick iron target bombarded by parallel proton beams, the simplified geometry on which analytical methods are based. The neutron spectral fluence distributions were similar for both methods, with deeply penetrating high-energy neutrons (E \u3e 10 MeV) being most prevalent along the beam central axis, and low-energy neutrons predominating the neutron spectral fluence in the lateral region. However, unlike the inverse square falloff used in conventional analytical methods, this study shows that the neutron dose equivalent per therapeutic dose in the treatment room decreased with distance approximately following a power law, with an exponent of about -1.63 in the lateral region and -1.73 in the downstream region. Based on the simulated data according to the detailed nozzle modeling, we developed an empirical equation to estimate the neutron dose equivalent at any location and distance in the treatment vault, e.g. for cases in which detailed Monte Carlo modeling is not feasible. We applied the simulated neutron spectral fluence and dose equivalent to a shielding calculation as an example. © 2009 Institute of Physics and Engineering in Medicine

Cyclone: A close air support aircraft for tomorrow

To meet the threat of the battlefield of the future, the U.S. ground forces will require reliable air support. To provide this support, future aircrews demand a versatile close air support aircraft capable of delivering ordinance during the day, night, or in adverse weather with pin-point accuracy. The Cyclone aircraft meets these requirements, packing the 'punch' necessary to clear the way for effective ground operations. Possessing anti-armor, missile, and precision bombing capability, the Cyclone will counter the threat into the 21st Century. Here, it is shown that the Cyclone is a realistic, economical answer to the demand for a capable close air support aircraft

Offline signature verification using writer-dependent ensembles and static classifier selection with handcraft features

Orientador: Eduardo TodtDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa : Curitiba, 17/02/2022Inclui referências: p. 85-94Área de concentração: Ciência da ComputaçãoResumo: Reconhecimento e identificação de assinaturas em documentos e manuscritos são tarefas desafiadoras que ao longo do tempo vêm sendo estudadas, em especial na questão de discernir assinaturas genuínas de falsificações. Com o recente avanço das tecnologias, principalmente no campo da computação, pesquisas nesta área têm se tornado cada vez mais frequentes, possibilitando o uso de novos métodos de análise das assinaturas, aumentando a precisão e a confiança na verificação delas. Ainda há muito o que se explorar em pesquisas desta área dentro da computação. Verificações de assinaturas consistem, de forma geral, em obter características acerca de um a assinatura e utilizá-las para discerni-la das demais. Estudos propondo variados tipos de métodos foram realizados nos últimos anos a fim de aprimorar os resultados obtidos por sistemas de verificação e identificação de assinaturas. Diferentes formas de extrair características têm sido exploradas, com o o uso de redes neurais artificiais voltadas especificam ente para verificação de assinaturas, como a ResNet e a SigNet, representando o estado-da-arte nesta área de pesquisa. Apesar disso, métodos mais simples de extração de características ainda são muito utilizados, como o histograma de gradientes orientados (HOG), o Local Binary Patterns (LBP) e Local Phase Quantization (LPQ) por exemplo, apresentando, em muitos casos, resultados similares ao estado-da-arte. Não apenas isso, mas diferentes formas de combinar informações de extratores de características e resultados de classificadores têm sido propostos, como é o caso dos seletores de características, métodos de comitê de máquinas e algoritmos de análise da qualidade das características. D esta form a, o trabalho realizado consiste em explorar diferentes métodos de extração de características com binados em um conjunto de classificadores, de maneira que cada conjunto seja construído de forma dependente do autor e seja especificam ente adaptado para reconhecer as melhores características para cada autor, aprendendo quais com binações de classificadores com determinado grupo de características melhor se adaptam para reconhecer suas assinaturas. O desempenho e a funcionalidade do sistema foram comparados com os principais trabalhos da área desenvolvidos nos últimos anos, tendo sido realizados testes com as databases CEDAR, M CYT e UTSig. A pesar de não superar o estado-da-arte, o sistema apresentou bom desempenho, podendo ser com parado com alguns outros trabalhos importantes na área. Além disso, o sistema mostrou a eficiência dos classificadores Support Vector M achine(SVM ) e votadores para a realização da meta-classificação, bem como o potencial de alguns extratores de características para a área de verificação de assinaturas, com o foi o caso do Compound Local Binary Pattern(CLBP).Abstract: Signature recognition and identification in documents and manuscripts are challenging tasks that have been studied over time, especially in the matter of discerning genuine signatures from forgeries. With the recent advancement of technologies, especially in the field of computing, research in this area has become increasingly frequent, enabling the use of new methods of analysis of signatures, increasing accuracy and confidence in their verification. There is still much to be explored in research in this area within computing. Signature verification generally consists in obtaining features about a signature and using them to distinguish it from others. Studies proposing different types o f methods have been carried out in recent years in order to improve the results obtained by signature verification and identification systems. Different ways of extracting features have been explored, such as the use of artificial neural networks specifically aimed at verifying signatures, like ResNet and SigNet, representing the state-of-the-art in this research area. Despite this, simpler methods of feature extraction are still widely used, such as the Histogram of Oriented Gradients (HOG), the Local Binary Patterns (LBP) and the Local Phase Quantization (LPQ) for example, presenting, in many cases, similar results to the state-of-the-art. Not only that, but different ways of combining information from feature extractors and results from classifiers have been proposed, such as feature selectors, machine committee methods and feature quality analysis algorithms. In this way, the developed work consists in exploring different methods of features extractors combined in an ensemble, so that each ensemble is built in a writer-dependent way and is specifically adapted to recognize the best features for each author, learning which combinations of classifiers with a certain group of characteristics is better adapted to recognize their signatures. The performance and functionality of the system were compared w ith the m ain works in the area developed in recent years, w ith tests having been carried out with the CEDAR, M CYT and UTSig databases. Despite not overcoming the state-of-the-art, the system presented good performance, being able to be compared with some other important works in the area. In addition, the system showed the efficiency of Support Vector Machine(SVM ) classifiers and voters to perform the meta-classification, as well as the potential of some feature extractors for the signature verification area, such as the Compound Local Binary Pattern(CLBP)

Pre-supernova feedback sets the star cluster mass function to a power law and reduces the cluster formation efficiency

The star cluster initial mass function is observed to have an inverse power law exponent around 2, yet there is no consensus on what determines this distribution, and why some variation is observed in different galaxies. Furthermore, the cluster formation efficiency covers a range of values, particularly when considering different environments. These clusters are often used to empirically constrain star formation and as fundamental units for stellar feedback models. Detailed galaxy models must therefore accurately capture the basic properties of observed clusters to be considered predictive. We use hydrodynamical simulations of a dwarf galaxy as a laboratory to study star cluster formation. We test different combinations of stellar feedback mechanisms, including stellar winds, ionizing radiation, and supernovae. Each feedback mechanism affects the cluster formation efficiency and cluster mass function. Increasing the feedback budget by combining the different types of feedback decreases the cluster formation efficiency by reducing the number of massive clusters. Ionizing radiation is found to be especially influential. This effect depends on the timing of feedback initiation, as shown by comparing early and late feedback. Early feedback occurs from ionizing radiation and stellar winds with onset immediately after a massive star is formed. Late feedback occurs when energy injection only starts after the main-sequence lifetime of the most massive SN progenitor, a timing that is further influenced by the choice of the most massive SN progenitor. Late feedback alone results in a broad, flat mass function, approaching a log-normal shape in the complete absence of feedback. Early feedback, on the other hand, produces a power-law cluster mass function with lower formation efficiency, albeit with a steeper slope than that usually observed.Comment: Submitted to Astronomy & Astrophysic

Refining threshold resummations

We describe some recent refinements of the techniques of threshold resummation, with emphasis on the usefulness of dimensional regularization when applied to nonabelian exponentiation. Threshold resummation is now under theoretical control for DIS and electroweak annihilation cross sections all the way to the fourth tower of logarithms and up to corrections suppressed by powers of the threshold variable.Comment: Presented at 8th DESY Workshop on Elementary Particle Theory: Loops and Legs in Quantum Field Theory, Eisenach, Germany, 23-28 Apr 200