779 research outputs found
[Review of] Stow Persons. Ethnic Studies at Chicago, 1905-1945
The University of Chicago rose out of the marshes on the southside of Chicago in the 1890s to win recognition as one of the world\u27s leading research institutes. The multiethnic city of Chicago, teeming with immigrants and displaced rural blacks, offered its sociologists an immediate challenge. These scholars were to directly influence the study of racial and ethnic groups and the field of sociology for many decades. However influential the work of the Chicago School was, their hold on American sociology was broken in the post World War II period as activists and intellectuals dealt with America\u27s unfulfilled promise for ethnic minorities. Stow Persons\u27 book chronicles this important group of social thinkers from their peak to their decline
[Review of] Lucia Chiavola Birnbaum. Liberazione della Donna. Feminism in Italy
A book on feminism in Italy might draw a bewildered look from the average American. The image of Italian women, cultivated by the popular media, is of either a sultry sex pot or a black garbed mamma stirring a spaghetti pot. In both examples these women are seen as subservient to the Italian male. It is unfortunate that these images are so pervasive, and that accurate information on Italian women in our society is limited, since their experiences can be instructive
Le altre sospensioni previste dalla legge (nelle leggi speciali e nell'elaborazione giurisprudenziale)
Diagnóstico no invasivo de patologías humanas combinando análisis de aliento y modelización con redes neuronales
Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Químicas, leída el 09-09-2016It is currently known that there is a direct relation between the moment a disease is detected or diagnosed and the consequences it will have on the patient, as an early detection is generally linked to a more favorable outcome. This concept is the basis of the present research, due to the fact that its main goal is the development of mathematical tools based on computational artificial intelligence to safely and non-invasively attain the detection of multiple diseases. To reach these devices, this research has focused on the breath analysis of patients with diverse diseases, using several analytical methodologies to extract the information contained in these samples, and multiple feature selection algorithms and neural networks for data analysis. In the past, it has been shown that there is a correlation between the molecular composition of breath and the clinical status of a human being, proving the existence of volatile biomarkers that can aid in disease detection depending on their presence or amount. During this research, two main types of analytical approaches have been employed to study the gaseous samples, and these were cross-reactive sensor arrays (based on organically functionalized silicon nanowire field-effect transistors (SiNW FETs) or gold nanoparticles (GNPs)) and proton transfer reaction-mass spectrometry (PTR-MS). The cross-reactive sensors analyze the bulk of the breath samples, offering global, fingerprint-like information, whereas PTR-MS quantifies the volatile molecules present in the samples. All of the analytical equipment employed leads to the generation of large amounts of data per sample, forcing the need of a meticulous mathematical analysis to adequately interpret the results. In this work, two fundamental types of mathematical tools were utilized. In first place, a set of five filter-based feature selection algorithms (χ2 (chi2) score, Fisher’s discriminant ratio, Kruskal-Wallis test, Relief-F algorithm, and information gain test) were employed to reduce the amount of independent in the large databases to the ones which contain the greatest discriminative power for a further modeling task. On the other hand, and in relation to mathematical modeling, artificial neural networks (ANNs), algorithms that are categorized as computational artificial intelligence, have been employed. These non-linear tools have been used to locate the relations between the independent variables of a system and the dependent ones to fulfill estimations or classifications. The type of ANN that has been used in this thesis coincides with the one that is more commonly employed in research, which is the supervised multilayer perceptron (MLP), due to its proven ability to create reliable models for many different applications...Actualmente es sabido que existe una relación directa entre el momento en el cual se detecta o diagnostica una enfermedad y las consecuencias que tendrá sobre el paciente, ya que una detección temprana va generalmente ligada a un desarrollo más favorable. Este concepto es el cimiento de la presente investigación, cuyo objetivo fundamental es el desarrollo de herramientas basadas en inteligencia artificial computacional que consigan, mediante medios seguros y no invasivos, la detección de diversas enfermedades. Para alcanzar dichos sistemas, los estudios han sido enfocados en el análisis de muestras de aliento de pacientes de diversas enfermedades, empleando varias técnicas para extraer información, y diversos algoritmos de selección de variables y redes neuronales para el procesamiento matemático. En el pasado, se ha comprobado que hay una correlación entre la composición molecular del aliento y el estado clínico de una persona, evidenciando la existencia de biomarcadores volátiles que pueden ayudar a detectar enfermedades, ya sea por su presencia o por su cantidad. Durante el transcurso de esta investigación, se han empleado esencialmente dos tipos de técnicas analíticas para estudiar las muestras gaseosas, y estas son conjuntos de sensores de reactividad cruzada (basados en transistores de efecto de campo con nanocables de silicio (SiNW FETs) o en nanopartículas de oro (GNPs), ambos funcionalizados con cadenas orgánicas) y equipos de reacción de transferencia de protones con espectrometría de masas (PTR-MS). Los sensores de reactividad cruzada analizan el aliento en su conjunto, extrayéndose información de la muestra global, mientras que usando PTR-MS, se cuantifican las moléculas volátiles presentes en las muestras analizadas. Todas las técnicas empleadas desembocan en la generación de grandes cantidades de datos por muestra, por lo que un análisis matemático exhaustivo es necesario para poder sacar el máximo rendimiento de los estudios. En este trabajo, se emplearon principalmente dos tipos de herramientas matemáticas. Las primeras son un grupo de cinco algoritmos de selección de variables, concretamente, filtros de variables (cálculos basados en estadística de χ2 (chi2), ratio discriminante de Fisher, análisis de Kruskal-Wallis, algoritmo relief-F y test de ganancia de información), que se han empleado en las bases de datos con grandes cantidades de variables independientes para localizar aquellas con mayor importancia o poder discriminativo para una tarea de modelización matemática posterior. Por otro lado, en cuando a dicha modelización, se ha empleado un tipo de algoritmo que se cataloga dentro del área de la inteligencia artificial computacional: las redes neuronales artificiales (ANNs). Estas herramientas matemáticas de naturaleza no lineal se han utilizado para localizar las relaciones existentes entre las variables independientes de un sistema y las variables dependientes o parámetros a estimar o clasificar. Se ha empleado el tipo de ANN supervisada más extensamente usado en investigación, que son los perceptrones multicapa (MLPs), debido a su habilidad contrastada para originar modelos fiables para numerosas aplicaciones...Fac. de Ciencias QuímicasTRUEunpu
[Review of] Paul Wrobel. Our Way: Family, Parish and Neighborhood in a Polish-American Community
Paul Wrobel’s study of a Polish-American community provides valuable insight into one of America’s largest white ethnic groups. Recent studies of Polish-Americans, such as Neil Sandberg’s Ethnic Identity and Assimilation: the Polish American Community in Los Angeles (New York: Praeger, 1974), have been few and often lacking in insight, even if providing some information. Wrobel provides a window for outsiders to look at St. Thaddeus parish on the northeast side of Detroit, a neighborhood reflecting “the cultural attitudes and values of its residents, especially their need for order and cleanliness.” (p. 46.) He takes care to emphasize that his study is only a start, describing and analyzing one particular community to provide the basis for future comparisons. Wrobel, a third generation Polish-American, with the assistance of his wife Kathleen, used participant-observer techniques for the study during the three years they and their children lived and worked in the neighborhood. This was supplemented with semi-formal interviews, census materials, parish records and city directories to gain an overview of the area
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