Programa de desenvolvimento econômico de Rio Claro (PRODERC) e desenvolvimento local: uma contribuição ao estudo das políticas públicas

The present work aims to analyze how the Programa de Desenvolvimento de Rio Claro (PRODERC) as a public policy generating and jobs for industries located in the city, promoting local development, using as selection criterion to expand the number of employees in a period of three years. We are going to analyzed different factors such as increase in the number of workers in the period analyzed, the impact of PRODERC industries and the government’s relationship with the industries covered, and the location there of on the territory according to industrial size

Juventude e políticas públicas: uma análise dos programas direcionados aos jovens da periferia urbana

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Olhares acerca da construção cotidiana de uma escola do campo

The education of children and youth in the rural areas, with the social movements of struggle for land, returns to a place of relevance and is repositioned on the political agenda. This study aims to analyze the process of development and implementation of a pilot project of schools in the rural area of the city of Araraquara, focusing on the subjects’ perception of the region. We adopted a qualitative ethnographic approach, with the following instruments of data collection: participant observation and semi-structured interviews. It was found that the project which was built through a process of struggle of a community in an adversarial relationship with the municipal government, which itself is struggling in an exercise of cultural emancipation and the construction of citizenship. Thus it finds itself in a habit of cultural resistance and in areas that has its effects on representation and social transformation within the community. Notwithstanding, those who participated in the process of the struggle and implementation have been transformed along the way, salvaging their self-esteem, history and a sense of belonging to a community.

Avaliação de cenários para a gestão dos resíduos domiciliares na região norte do Vale do Paraíba/SP

Pós-graduação em Engenharia de Produção - FEB

A presença feminina dos estudos secundários no estado de São Paulo (1930-1947)

Pós-graduação em Educação Escolar - FCLAR

Experimental Basis and New Insights for Cell Therapy in Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease (COPD) can be briefly described as air flow limitation and chronic dyspnea associated to an inflammatory response of the respiratory tract to noxious particles and gases. Its main feature is the obstruction of airflow and consequent chronic dyspnea. Despite recent advances, and the development of new therapeutic, medical and clinical approaches, a curative therapy is yet to be achieved. Therapies involving the use of tissue-specific or donor derived cells present a promising alternative in the treatment of degenerative diseases and injuries. Recent studies demonstrate that mesenchymal stem cells have the capacity to modulate immune responses in acute lung injury and pulmonary fibrosis in animal models, as well as in human patients. Due to these aspects, different groups raised the possibility that the stem cells from different sources, such as those found in bone marrow or adipose tissue, could act preventing the emphysematous lesion progression. In this paper, it is proposed a review of the current state of the art and future perspectives on the use of cell therapy in obstructive lung diseases.

Intra-subject variability in attention-deficit hyperactivity disorder

BACKGROUND: This study is based on a comprehensive survey of the neuropsychological attention-deficit hyperactivity disorder (ADHD) literature and presents the first psychometric analyses of different parameters of intra-subject variability (ISV) in patients with ADHD compared to healthy controls, using the Continuous Performance Test, a Go-NoGo task, a Stop Signal Task, as well as N-back tasks. METHODS: Data of 57 patients with ADHD and 53 age- and gender-matched controls were available for statistical analysis. Different parameters were used to describe central tendency (arithmetic mean, median), dispersion (standard deviation, coefficient of variation, consecutive variance), and shape (skewness, excess) of reaction time distributions, as well as errors (commissions and omissions). RESULTS: Group comparisons revealed by far the strongest effect sizes for measures of dispersion, followed by measures of central tendency, and by commission errors. Statistical control of ISV reduced group differences in the other measures substantially. One (patients) or two (controls) principal components explained up to 67% of the inter-individual differences in intra-individual variability. CONCLUSIONS: Results suggest that, across a variety of neuropsychological tests, measures of ISV contribute best to group discrimination, with limited incremental validity of measures of central tendency and errors. Furthermore, increased ISV might be a unitary construct in ADHD.

Nation, Narration and Islam: Memory and Governmentality in Germany

This article analyses narrations of German memories in relation to the incorporation of Islam into Germany. Memory narratives are not approached from the angle of identity, but as part of the continuous business of rationalizing politics inside and beyond the state. The citational use of narratives authorizes interventions in the process of government by constituting its objects, determining the means and aims of government and defining its authority. Narratives are a governmental practice, i.e. they connect politics narrowly defined with individual conduct, since narratives allow determination of a social context and what constitutes adequate behaviour within it. In this way, they help to orient practices of freedom. Acts such as the cultivating of an ethics of interreligious competition, involvement in specific forms of dialogue, or activism against Islamophobia and anti-Semitism derive meaning in part through such narratives, while simultaneously contributing new meaning.

Factors Underlying the Formation of Industrial Clusters in Japan and Industrial Cluster Policy: A Quantitative Survey

The purpose of this report is to use information provided by a questionnaire survey to analyze the factors and processes underlying the formation of industrial clusters in Japan. The study, based on questionnaire surveys, forms part of an "Industrial Cluster Project". The Japanese government has implemented policies for industrial clusters so as to enable Japanese industries to maintain competitive power in global markets, and to aid the self-sufficient expansion of local industries. The government's project goes under the heading "Industry Agglomeration for the Recovery of Local Industries with respect to so-called "Industry Clusters." The authors aim to identify what expectations are held of government by the enterprises that make up industrial clusters. As part of our investigation, we used the results of a survey conducted by UNDP in 2004. Tsuji's study, published by the Osaka School of International Public Policy, surveyed 1198 small or medium sized manufacturing companies located in O ward, Tokyo and Higashi Osaka city, Osaka prefecture. The outcome of the present study, together with data from Tsuji's work on IT usage by SMEs in Japan, is meant to form the basis for policy design and implementation.

A study of a soft computing based method for 3D scenario reconstruction

Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.

GPGPU implementation of growing neural gas: application to 3D scene reconstruction

Self-organising neural models have the ability to provide a good representation of the input space. In particular the Growing Neural Gas (GNG) is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation. However, this type of learning is time-consuming, especially for high-dimensional input data. Since real applications often work under time constraints, it is necessary to adapt the learning process in order to complete it in a predefined time. This paper proposes a Graphics Processing Unit (GPU) parallel implementation of the GNG with Compute Unified Device Architecture (CUDA). In contrast to existing algorithms, the proposed GPU implementation allows the acceleration of the learning process keeping a good quality of representation. Comparative experiments using iterative, parallel and hybrid implementations are carried out to demonstrate the effectiveness of CUDA implementation. The results show that GNG learning with the proposed implementation achieves a speed-up of 6× compared with the single-threaded CPU implementation. GPU implementation has also been applied to a real application with time constraints: acceleration of 3D scene reconstruction for egomotion, in order to validate the proposal.

Sentiment classification for early detection of health alerts in the chemical textile domain

In the chemical textile domain experts have to analyse chemical components and substances that might be harmful for their usage in clothing and textiles. Part of this analysis is performed searching opinions and reports people have expressed concerning these products in the Social Web. However, this type of information on the Internet is not as frequent for this domain as for others, so its detection and classification is difficult and time-consuming. Consequently, problems associated to the use of chemical substances in textiles may not be detected early enough, and could lead to health problems, such as allergies or burns. In this paper, we propose a framework able to detect, retrieve, and classify subjective sentences related to the chemical textile domain, that could be integrated into a wider health surveillance system. We also describe the creation of several datasets with opinions from this domain, the experiments performed using machine learning techniques and different lexical resources such as WordNet, and the evaluation focusing on the sentiment classification, and complaint detection (i.e., negativity). Despite the challenges involved in this domain, our approach obtains promising results with an F-score of 65% for polarity classification and 82% for complaint detection.

An overview of the Applications of Natural Language to Information Systems

This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.

Lowell, Massachusetts, 1841 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the city of Lowell : surveyed in 1841 by order of the municipal authorities, by I.A. Beard & J. Hoar ; engraved by G.W. Boynton. It was published in 1842. Scale [ca. 1:4,500]. Covers a portion of the City of Lowell. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings, boarding houses, hotels, city districts and more. Includes a an index to points of interest. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

Potemkin conservatism. An ideological tool of the Kremlin. OSW Point of View 48, February 2015

Since the beginning of his third presidential term, Vladimir Putin has consistently invoked conservative ideology. Thus he legitimises the Kremlin’s new political strategy, the aim of which is to stabilise the regime and prevent any political mobilisation in Russia around a liberal agenda. This strategy is also intended to strengthen the legitimacy of the current model of government, by portraying it as ‘traditional’ for Russia; and to justify the government’s repressive and anti-Western policies. It also includes the policy of reintegrating the post-Soviet space under the auspices of Moscow, as evidenced by the annexation of Crimea and the Novorossiya project. This strategy was devised as a response to the galvanisation of adherents of liberalisation in Russia, namely the new middle class and a part of the business and administrative elites who publicly demonstrated their dissatisfaction with the regime in 2011 and 2012. However, the dissonance between the conservative slogans mouthed by the ruling elite and its actual conduct suggest that the Kremlin’s ‘conservative project’ is purely instrumental in nature, which in the longer term will undercut its effectiveness by undermining its credibility in the eyes of Russian society.