Urban segregation and public space: young people in enclaves of structural poverty

Includes bibliography

Problemas y perspectivas de la integración de los jóvenes en las sociedades latinoamericanas = Integration of young people into Latin American societies: problems and prospects

Incluye Bibliografía

From the classroom to the workplace: Three decades of evidence for Latin America

Includes bibliography.

Jovens do assentamento Ribeirão Bonito: entre a recusa da profissão de agricultor e a afirmação do modo de vida rural?

Pós-graduação em Agronomia - FEIS

Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records

Surveillance Levels (SLs) are categories for medical patients (used in Brazil) that represent different types of medical recommendations. SLs are defined according to risk factors and the medical and developmental history of patients. Each SL is associated with specific educational and clinical measures. The objective of the present paper was to verify computer-aided, automatic assignment of SLs. The present paper proposes a computer-aided approach for automatic recommendation of SLs. The approach is based on the classification of information from patient electronic records. For this purpose, a software architecture composed of three layers was developed. The architecture is formed by a classification layer that includes a linguistic module and machine learning classification modules. The classification layer allows for the use of different classification methods, including the use of preprocessed, normalized language data drawn from the linguistic module. We report the verification and validation of the software architecture in a Brazilian pediatric healthcare institution. The results indicate that selection of attributes can have a great effect on the performance of the system. Nonetheless, our automatic recommendation of surveillance level can still benefit from improvements in processing procedures when the linguistic module is applied prior to classification. Results from our efforts can be applied to different types of medical systems. The results of systems supported by the framework presented in this paper may be used by healthcare and governmental institutions to improve healthcare services in terms of establishing preventive measures and alerting authorities about the possibility of an epidemic.

Advice on the Management of Ambiguous Genitalia to a Young Endocrinologist from Experienced Clinicians

The birth of a child with ambiguous genitalia is a challenging and distressing event for the family and physician and one with life-long consequences. Most disorders of sexual differentiation (DSD) associated with ambiguous genitalia are the result either of inappropriate virilization of girls or incomplete virilization of boys. It is important to establish a diagnosis as soon as possible, for psychological, social, and medical reasons, particularly for recognizing accompanying life-threatening disorders such as the salt-losing form of congenital adrenal hyperplasia. In most instances, there is sufficient follow-up data so that making the diagnosis also establishes the appropriate gender assignment (infants with congenital adrenal hyperplasia, those with androgen resistance syndromes), but some causes of DSD such as steroid 5 alpha-reductase 2 deficiency and 17 beta-hydroxysteroid dehydrogenase deficiency are associated with frequent change in social sex later in life. In these instances, guidelines for sex assignment are less well established.

Digital library of historical cartography: open access to cultural heritage and public good

This paper describes the integration of information between Digital Library of Historical Cartography and Bibliographical Database (DEDALUS), both of the University of São Paulo (USP), to guarantee open, public access by Internet to the maps in the collection and make them available to users everywhere. This digital library was designed by Historical Cartography Studies Laboratory team (LECH/USP), and provides maps images on the Web, of high resolution, as well as such information on these maps as technical-scientific data (projection, scale, coordinates), printing techniques and material support that have made their circulation and cultural consumption possible. The Digital Library of Historical Cartography is accessible not only to the historical cartography researchers, but also to students and the general public. Beyond being a source of information about maps, the Digital Library of Historical Cartography seeks to be interactive, exchanging information and seeking dialogue with different branches of knowledge

On the use of a low-cost thermal sensor to improve kinect people detection in a mobile robot

[EN]Detecting people is a key capability for robots that operate in populated environments. In this paper, we have adopted a hierarchical approach that combines classifiers created using supervised learning in order to identify whether a person is in the view-scope of the robot or not. Our approach makes use of vision, depth and thermal sensors mounted on top of a mobile platform.

Drug Use and Attitudes Toward Drugs among Young Bulgarian Males

This project aimed to evaluate young people's attitudes towards drugs and to draft preventive strategies for use among young people at school and during military service. Three target groups were surveyed: young heroin users in Sofia, drug users undergoing treatment in the Military Medical Academy, and male students between the ages of 16 and 18. The research showed that more than half the respondents had used heroin for the first time before they were 16 and 11% tried it first at the age of 13, the lowest age registered since drug use in Bulgaria has been studied. One in five male students aged 16 to 18 has used hashish or marijuana at least once and amphetamines and non-prescription medications are the second-choice drugs for Bulgarian school pupils. The best predictors of drug use among young people are drug use among friends, early alcohol and tobacco use, perceived availability of drugs, an underrating of the health hazards of drug use and a lack of proper information about these, willingness to take drugs, where and with whom the young people have grown up, and a sensation-seeking attitude.

Youth and Young Adult Homelessness in Worcester, Massachusetts:

Supporting Worcester’s ongoing effort to understand and address youth and young adult homelessness, the Community Roundtable on Youth Homelessness in conjunction with the Compass Project and Clark University conducted the fourth annual Point-in-Time Survey during October of 2012. Young people were surveyed at city shelters, youth programs, outside of schools, in parks, and on the streets of Worcester. Out of the 753 young people (ages 13to 25) surveyed, 120 (16%) dentified as homeless. We define homeless to include young people in shelters, staying with others temporarily (i.e. couch surfing) or on the streets. In addition to these 120 young people, another 220 youth who were housed reported that they had a friend who was homeless. As in prior years, when compared to their housed counterparts in the study, homeless youth: Have experienced more residential instability and family conflict; Have more precarious income situations; Are more likely to have children; Are more likely to have had involvement with the foster care and/or juvenile justice systems; and Have faced more barriers accessing services.

The art to keep in touch: The ''good use'' of Lagrange multipliers

Physically-based modeling for computer animation allows to produce more realistic motions in less time without requiring the expertise of skilled animators. But, a computer animation is not only a numerical simulation based on classical mechanics since it follows a precise story-line. One common way to define aims in an animation is to add geometric constraints. There are several methods to manage these constraints within a physically-based framework. In this paper, we present an algorithm for constraints handling based on Lagrange multipliers. After few remarks on the equations of motion that we use, we present a first algorithm proposed by Platt. We show with a simple example that this method is not reliable. Our contribution consists in improving this algorithm to provide an efficient and robust method to handle simultaneous active constraints.