Representações sociais da Psicologia do Trabalho: o olhar de formandos em Psicologia da Universidade Federal do Pará

Este estudo percorreu questões sociais contemporâneas que envolveram o Sujeito, o Trabalho e a Psicologia na perspectiva das Representações Sociais: A formação do psicólogo do trabalho na Universidade Federal do Pará. A pesquisa identificou a Psicologia do Trabalho na visão dos estudantes concluintes do curso de Psicologia da UFPA. Analisou-se as questões paradigmáticas que a área está inserida, as vivências dos formandos nos estágios supervisionados, a questão do trabalho como fonte de identidade e as mudanças da pós-modernidade para os futuros profissionais da Psicologia do Trabalho, assim como suas perspectivas no mercado profissional. Embasou-se em Serge Moscovici (1978, 2001, 2005, 2007) e na grande teoria das Representações Sociais-RS, e em Denise Jodelet (2001, 2005, 2009) com a abordagem processual em Representações Sociais. As RS se inseriram como a teoria fundante da temática, que privilegiou as relações cotidianas a partir das comunicações humanas, que foram formadoras de representações, para a proposição de uma nova perspectiva da Psicologia Social. Optou-se pela pesquisa qualitativa e utilizou-se o Método da Explicitação do Discurso Subjacente – MEDS, para os instrumentos de coleta e análise de dados. As análises das representações apontaram para as diversas dificuldades encontradas pelos estudantes que buscavam os estágios: a substituição de atividades de estágio por pesquisas específicas sobre o mundo do trabalho e exercícios acadêmicos on line, por meio da internet; entendiam que a apropriação desses conhecimentos substitutos seriam inadequados e impróprios a alunos em formação; informaram desejar diferenciar-se dos padrões estabelecidos na área da Psicologia do Trabalho, ou seja, da visão deturpada de psicólogos que estavam a serviço da empresa e se esqueceram do trabalhador. Na questão da prática profissional, mostraram que a tentativa dos professores, em substituir os estágios por outras atividades, implicava uma ruptura do compromisso de ensino com o viés interdisciplinar e de caráter prático, explicitados nas diretrizes curriculares dos cursos de graduação da instituição. Sentiam-se desamparados e despreparados para atuação no mercado e bastante preocupados com as exigências dessa área. Todavia, vislumbravam possibilidades quando sugeriam que este campo apresentaria potencialidades inovadoras e de constante atualização, em que o papel da universidade seria fundamental e a preparação dos professores essencial à construção de uma Psicologia do Trabalho com compromisso ético e, que emergisse da prática concreta dos futuros psicólogos formados pela instituição.

Scalar source in circular motion interacting with massive klein-gordon field in Minkowski spacetime

We analyze the scalar radiation emitted by a source in uniform circular motion in Minkowski spacetime interacting with a massive Klein-Gordon field. We assume the source rotating around a central object due to a Newtonian force. By considering the canonical quantization of this field, we use perturbation theory to compute the radiation emitted at the tree level. Regarding the initial state of the field as being the Minkowski vacuum, we compute the emission amplitude for the rotating source, assuming it as being minimally coupled to the massive Klein-Gordon field. We then compute the power emitted by the swirling source as a function of its angular velocity, as measured by asymptotic static observers.

Atendimento Educacional Especializado: análise do índice de evasão de professores em curso de pós-graduação, na modalidade a distância

This research aims to investigate the possible causes for the dropout of participants under instruction in distance courses. Data gathered from the Specialization Course in Specialized Educational Support Services - SES, sponsored by the Department for Continuing Education, Literacy and Diversity of the Ministry of Education - SECAD / MEC - and the Open University of Brazil – OUB, will be analyzed. The objective of the course is to graduate teachers who work in classrooms equipped with multifunctional resources in regular schools to give specialized educational support for students with special educational needs marked by disabilities, global development disorders and high abilities/highly gifted students. In order to analyze dropout data in the first semester of the ongoing course, a sample of 1349 participants enrolled in the distance course was considered; 216 of these had their enrollment cancelled on request or because they stopped accessing the Virtual Learning Environment - VLE / Teleduc Platform showing no interest in the course. However, the information below aims to present and discuss only the tabulated data of the 98 participants who requested to have their enrollment officially cancelled by submitting the online dropout term. The findings showed the main reasons for dropping out were personal problems, lack of time to commit to an ongoing distance course, difficulty using ICT and the tools available in the VLE. The research also highlighted the importance of developing digital inclusion initiatives as well as on-site supporting poles as a way to soften the barriers of technological accessibility and the dropout rate in this kind of courses.

O tutor no ensino a distância: considerações sobre o elemento humano da mediação educativa com tecnologia

Pós-graduação em Educação Escolar - FCLAR

Educação a distância online: potencialidades para a formação de professores que ensinam matemática

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

Estágio supervisionado no curso de pedagogia a distância: aproximações e diferenças do ensino presencial

Pós-graduação em Educação - FCT

A semiose peirceana no jornalismo colaborativo online

The purpose of this article is to think the online collaborative journalism from the perspective of semiosis in Charles Sanders Peirce. It seeks to define the formal elements of language hypermedia web, beyond the concepts of semiosis, sign, object and interpretant. Thus, paths are indicated for understanding how different aspects of the news can emerge and coexist in mediating the journalistic own website, marked by the decentralization of the production and dissemination of media content, as opposed to mediation system based on broadcast journalism. There is also a small survey of the evolution of Brazilian collaborative journalism on the web, showing that there is still a tendency to keep the logic of journalism massive unidirectional.

Formação de professores de matemática da educação superior e as tecnologias digitais: aspectos do conhecimento revelados no contexto de uma comunidade de prática online

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

AcMus: an Open, Integrated Platform for Room Acoustics Research

This article describes the design, implementation, and experiences with AcMus, an open and integrated software platform for room acoustics research, which comprises tools for measurement, analysis, and simulation of rooms for music listening and production. Through use of affordable hardware, such as laptops, consumer audio interfaces and microphones, the software allows evaluation of relevant acoustical parameters with stable and consistent results, thus providing valuable information in the diagnosis of acoustical problems, as well as the possibility of simulating modifications in the room through analytical models. The system is open-source and based on a flexible and extensible Java plug-in framework, allowing for cross-platform portability, accessibility and experimentation, thus fostering collaboration of users, developers and researchers in the field of room acoustics.

Analisi sulla crescita e sulle funzioni dei Linked Open Data - LODStories

L'Open Data, letteralmente “dati aperti”, è la corrente di pensiero (e il relativo “movimento”) che cerca di rispondere all'esigenza di poter disporre di dati legalmente “aperti”, ovvero liberamente re-usabili da parte del fruitore, per qualsiasi scopo. L’obiettivo dell’Open Data può essere raggiunto per legge, come negli USA dove l’informazione generata dal settore pubblico federale è in pubblico dominio, oppure per scelta dei detentori dei diritti, tramite opportune licenze. Per motivare la necessità di avere dei dati in formato aperto, possiamo usare una comparazione del tipo: l'Open Data sta al Linked Data, come la rete Internet sta al Web. L'Open Data, quindi, è l’infrastruttura (o la “piattaforma”) di cui il Linked Data ha bisogno per poter creare la rete di inferenze tra i vari dati sparsi nel Web. Il Linked Data, in altre parole, è una tecnologia ormai abbastanza matura e con grandi potenzialità, ma ha bisogno di grandi masse di dati tra loro collegati, ossia “linkati”, per diventare concretamente utile. Questo, in parte, è già stato ottenuto ed è in corso di miglioramento, grazie a progetti come DBpedia o FreeBase. In parallelo ai contributi delle community online, un altro tassello importante – una sorta di “bulk upload” molto prezioso – potrebbe essere dato dalla disponibilità di grosse masse di dati pubblici, idealmente anche già linkati dalle istituzioni stesse o comunque messi a disposizione in modo strutturato – che aiutino a raggiungere una “massa” di Linked Data. A partire dal substrato, rappresentato dalla disponibilità di fatto dei dati e dalla loro piena riutilizzabilità (in modo legale), il Linked Data può offrire una potente rappresentazione degli stessi, in termini di relazioni (collegamenti): in questo senso, Linked Data ed Open Data convergono e raggiungono la loro piena realizzazione nell’approccio Linked Open Data. L’obiettivo di questa tesi è quello di approfondire ed esporre le basi sul funzionamento dei Linked Open Data e gli ambiti in cui vengono utilizzati.

Medicalgenomics.org : an open source database and retrieval system for biomedical analysis

Die Molekularbiologie von Menschen ist ein hochkomplexes und vielfältiges Themengebiet, in dem in vielen Bereichen geforscht wird. Der Fokus liegt hier insbesondere auf den Bereichen der Genomik, Proteomik, Transkriptomik und Metabolomik, und Jahre der Forschung haben große Mengen an wertvollen Daten zusammengetragen. Diese Ansammlung wächst stetig und auch für die Zukunft ist keine Stagnation absehbar. Mittlerweile aber hat diese permanente Informationsflut wertvolles Wissen in unüberschaubaren, digitalen Datenbergen begraben und das Sammeln von forschungsspezifischen und zuverlässigen Informationen zu einer großen Herausforderung werden lassen. Die in dieser Dissertation präsentierte Arbeit hat ein umfassendes Kompendium von humanen Geweben für biomedizinische Analysen generiert. Es trägt den Namen medicalgenomics.org und hat diverse biomedizinische Probleme auf der Suche nach spezifischem Wissen in zahlreichen Datenbanken gelöst. Das Kompendium ist das erste seiner Art und sein gewonnenes Wissen wird Wissenschaftlern helfen, einen besseren systematischen Überblick über spezifische Gene oder funktionaler Profile, mit Sicht auf Regulation sowie pathologische und physiologische Bedingungen, zu bekommen. Darüber hinaus ermöglichen verschiedene Abfragemethoden eine effiziente Analyse von signalgebenden Ereignissen, metabolischen Stoffwechselwegen sowie das Studieren der Gene auf der Expressionsebene. Die gesamte Vielfalt dieser Abfrageoptionen ermöglicht den Wissenschaftlern hoch spezialisierte, genetische Straßenkarten zu erstellen, mit deren Hilfe zukünftige Experimente genauer geplant werden können. Infolgedessen können wertvolle Ressourcen und Zeit eingespart werden, bei steigenden Erfolgsaussichten. Des Weiteren kann das umfassende Wissen des Kompendiums genutzt werden, um biomedizinische Hypothesen zu generieren und zu überprüfen.

Il crowdsourcing per la localizzazione: Il caso di una app open source per dispositivi android

Questo elaborato si propone di analizzare le pratiche della localizzazione nel caso particolare del software destinato ai dispositivi mobili. Le innovazioni tecnologiche hanno portato grandi novità nell’ambiente della localizzazione, sia per quanto riguarda l’approccio, sia per le tecnologie e le tecniche utilizzate. In questa tesi di Laurea saranno anche approfonditi gli aspetti di un nuovo approccio alla traduzione in costante espansione, i fenomeni di traduzione collaborativa e traduzione in crowdsourcing. Nel capitolo 1 viene trattato il fenomeno della localizzazione, partendo dalle sue origini e ripercorrendo la sua storia per cercare di darne una definizione condivisa e delinearne le caratteristiche fondamentali, analizzando i vari fenomeni coinvolti nel processo. Il capitolo 2 affronta il tema della traduzione collaborativa e del crescente numero di community online di traduzione in crowdsourcing, un fenomeno recente che desta curiosità, ma anche preoccupazione all’interno degli ambienti della traduzione, in quanto molti sono i dubbi che pervadono i traduttori professionisti circa il ruolo che verrebbero a ricoprire in questo nuovo mercato linguistico. Nel capitolo 3 sono descritti i vari passaggi che un localizzatore deve compiere nel momento in cui affronta un progetto di localizzazione di una app per il sistema operativo Android, partendo dalla ricerca della stessa fino alla pubblicazione della versione localizzata sullo store o sui diversi repository online. Nel capitolo 4, infine, viene analizzato più approfonditamente Crowdin, uno dei sistemi di traduzione assistita collaborativi online, applicandolo nella pratica alla traduzione di una app per dispositivi mobili dotati di sistema operativo Android. Ne verranno descritti i diversi approcci, a seconda che l’utente sia un project manager oppure un traduttore freelance. Per concludere saranno trattati gli aspetti salienti della traduzione pratica di una app per Android.

Online distribution management framework by incorporating wind generation

In distribution system operations, dispatchers at control center closely monitor system operating limits to ensure system reliability and adequacy. This reliability is partly due to the provision of remote controllable tie and sectionalizing switches. While the stochastic nature of wind generation can impact the level of wind energy penetration in the network, an estimate of the output from wind on hourly basis can be extremely useful. Under any operating conditions, the switching actions require human intervention and can be an extremely stressful task. Currently, handling a set of switching combinations with the uncertainty of distributed wind generation as part of the decision variables has been nonexistent. This thesis proposes a three-fold online management framework: (1) prediction of wind speed, (2) estimation of wind generation capacity, and (3) enumeration of feasible switching combinations. The proposed methodology is evaluated on 29-node test system with 8 remote controllable switches and two wind farms of 18MW and 9MW nameplate capacities respectively for generating the sequence of system reconfiguration states during normal and emergency conditions.

Managing server energy and reducing operational cost for online service providers

The past decade has seen the energy consumption in servers and Internet Data Centers (IDCs) skyrocket. A recent survey estimated that the worldwide spending on servers and cooling have risen to above $30 billion and is likely to exceed spending on the new server hardware . The rapid rise in energy consumption has posted a serious threat to both energy resources and the environment, which makes green computing not only worthwhile but also necessary. This dissertation intends to tackle the challenges of both reducing the energy consumption of server systems and by reducing the cost for Online Service Providers (OSPs). Two distinct subsystems account for most of IDC’s power: the server system, which accounts for 56% of the total power consumption of an IDC, and the cooling and humidifcation systems, which accounts for about 30% of the total power consumption. The server system dominates the energy consumption of an IDC, and its power draw can vary drastically with data center utilization. In this dissertation, we propose three models to achieve energy effciency in web server clusters: an energy proportional model, an optimal server allocation and frequency adjustment strategy, and a constrained Markov model. The proposed models have combined Dynamic Voltage/Frequency Scaling (DV/FS) and Vary-On, Vary-off (VOVF) mechanisms that work together for more energy savings. Meanwhile, corresponding strategies are proposed to deal with the transition overheads. We further extend server energy management to the IDC’s costs management, helping the OSPs to conserve, manage their own electricity cost, and lower the carbon emissions. We have developed an optimal energy-aware load dispatching strategy that periodically maps more requests to the locations with lower electricity prices. A carbon emission limit is placed, and the volatility of the carbon offset market is also considered. Two energy effcient strategies are applied to the server system and the cooling system respectively. With the rapid development of cloud services, we also carry out research to reduce the server energy in cloud computing environments. In this work, we propose a new live virtual machine (VM) placement scheme that can effectively map VMs to Physical Machines (PMs) with substantial energy savings in a heterogeneous server cluster. A VM/PM mapping probability matrix is constructed, in which each VM request is assigned with a probability running on PMs. The VM/PM mapping probability matrix takes into account resource limitations, VM operation overheads, server reliability as well as energy effciency. The evolution of Internet Data Centers and the increasing demands of web services raise great challenges to improve the energy effciency of IDCs. We also express several potential areas for future research in each chapter.

Teaching and aligning upper level mathematics classes to Michigan high school content expectations in an alternative education setting : approaches and issues

After teaching regular education secondary mathematics for seven years, I accepted a position in an alternative education high school. Over the next four years, the State of Michigan adopted new graduation requirements phasing in a mandate for all students to complete Geometry and Algebra 2 courses. Since many of my students were already struggling in Algebra 1, getting them through Geometry and Algebra 2 seemed like a daunting task. To better instruct my students, I wanted to know how other teachers in similar situations were addressing the new High School Content Expectations (HSCEs) in upper level mathematics. This study examines how thoroughly alternative education teachers in Michigan are addressing the HSCEs in their courses, what approaches they have found most effective, and what issues are preventing teachers and schools from successfully implementing the HSCEs. Twenty-six alternative high school educators completed an online survey that included a variety of questions regarding school characteristics, curriculum alignment, implementation approaches and issues. Follow-up phone interviews were conducted with four of these participants. The survey responses were used to categorize schools as successful, unsuccessful, and neutral schools in terms of meeting the HSCEs. Responses from schools in each category were compared to identify common approaches and issues among them and to identify significant differences between school groups. Data analysis showed that successful schools taught more of the HSCEs through a variety of instructional approaches, with an emphasis on varying the ways students learned the material. Individualized instruction was frequently mentioned by successful schools and was strikingly absent from unsuccessful school responses. The main obstacle to successful implementation of the HSCEs identified in the study was gaps in student knowledge. This caused pace of instruction to also be a significant issue. School representatives were fairly united against the belief that the Algebra 2 graduation requirement was appropriate for all alternative education students. Possible implications of these findings are discussed.