Planejamento e gestão na responsabilidade social: desafios para o Serviço Social

Pós-graduação em Serviço Social - FCHS

Contribuição dos indicadores de sustentabilidade na gestão urbano ambiental

Recently in Brazil cities have been suffering strong influence concerning concepts of sustainable development and urban-environmental management in order to implement public policies. These approaches combined, subsidize fair democratic construction, along with citizen participation and transparency regarding the use of resources. This study was meant to address the evaluation of performance and environmental quality through the use of sustainability indicators as a tool for planning and management of municipal urban-environmental, its advantages, disadvantages and contributions to the effectiveness in the implementation of policies aimed at local sustainable development. The main objective of the study was to do a comparative analysis of the indicators used in Piracicaba, to the national indicator system and other municipal programs, and also, its application in urban and environmental planning. To achieve this goal, initially a topic selection was made based on a bibliographic analysis in order to discuss the use of management tools and municipal evaluation systems from the perspective of sustainability, showing the management tools such as laws, agreements, documents and mainly, sustainability indicators. It was then, prepared the case study carried out in Piracicaba, São Paulo municipality. With the obtained results, it was possible to provide a model which shows strengths and weaknesses of public actions and policies for the environment, such as project suggestions that could be applied aiming greater sustainability and continuous improvement of municipal environmental performance

Práticas integrativas e complementares no SUS: revisão integrativa

Pós-graduação em Saúde Coletiva - FMB

A Response to Seth H. Giertz

There are two aspects of Seth Giertz's excellent chapter that I want to talk about. One is slightly technical; I want to try to provide some explanation for why estimating elasticity of taxable income (ETI) is so difficult. I think this difficulty is unappreciated by nonspecialists, who are quick to latch onto a favorite estimate without understanding the weaknesses in the estimation. The other aspect is a bit more philosophical and addresses the different functions of the partial equilibrium analysis done here and the general equilibrium work done a few years back in the macro group at the Congressional Budget Office (CBO). Perhaps surprisingly, I strongly endorse the partial equilibrium approach taken here for the comparison of tax reforms.

Contribuição dos indicadores de sustentabilidade na gestão urbano ambiental

Recently in Brazil cities have been suffering strong influence concerning concepts of sustainable development and urban-environmental management in order to implement public policies. These approaches combined, subsidize fair democratic construction, along with citizen participation and transparency regarding the use of resources. This study was meant to address the evaluation of performance and environmental quality through the use of sustainability indicators as a tool for planning and management of municipal urban-environmental, its advantages, disadvantages and contributions to the effectiveness in the implementation of policies aimed at local sustainable development. The main objective of the study was to do a comparative analysis of the indicators used in Piracicaba, to the national indicator system and other municipal programs, and also, its application in urban and environmental planning. To achieve this goal, initially a topic selection was made based on a bibliographic analysis in order to discuss the use of management tools and municipal evaluation systems from the perspective of sustainability, showing the management tools such as laws, agreements, documents and mainly, sustainability indicators. It was then, prepared the case study carried out in Piracicaba, São Paulo municipality. With the obtained results, it was possible to provide a model which shows strengths and weaknesses of public actions and policies for the environment, such as project suggestions that could be applied aiming greater sustainability and continuous improvement of municipal environmental performance

Práticas integrativas e complementares no SUS: revisão integrativa

Pós-graduação em Saúde Coletiva - FMB

The revision of the Brazilian Forest Act: increased deforestation or a historic step towards balancing agricultural development and nature conservation?

Almost two-thirds of the Brazilian territory still has prevalence of natural vegetation. Although not all pristine, much of these areas have high conservation value. 170 million hectare (Mha) of the natural vegetation is located within Federal and State protected areas. Most of the remaining 367 Mha is on private agriculture lands, where the Forest Act is the most important legal framework for conservation. In July 2010, the Brazilian parliament began the analysis of a substitutive legislation for the Forest Act. The main motivations for the revision is that, on the one hand, it has been found ineffective in protecting natural vegetation, and on the other hand, it is perceived as a barrier against development in the agriculture sector. The substitutive Forest Act, as it presently stands, does not represent a balance between existing standpoints and objectives; it may drive development towards either more private protection through market-driven compensation actions, or increased deforestation and less nature protection/restoration. This article uses outcomes from modeling analyses to discuss weaknesses of the substitutive Forest Act and to suggest possible improvements. (C) 2011 Elsevier Ltd. All rights reserved.

Lexical-semantic processing in the semantic priming paradigm in aphasic patients

There is evidence that the explicit lexical-semantic processing deficits which characterize aphasia may be observed in the absence of implicit semantic impairment. The aim of this article was to critically review the international literature on lexical-semantic processing in aphasia, as tested through the semantic priming paradigm. Specifically, this review focused on aphasia and lexical-semantic processing, the methodological strengths and weaknesses of the semantic paradigms used, and recent evidence from neuroimaging studies on lexical-semantic processing. Furthermore, evidence on dissociations between implicit and explicit lexical-semantic processing reported in the literature will be discussed and interpreted by referring to functional neuroimaging evidence from healthy populations. There is evidence that semantic priming effects can be found both in fluent and in non-fluent aphasias, and that these effects are related to an extensive network which includes the temporal lobe, the pre-frontal cortex, the left frontal gyrus, the left temporal gyrus and the cingulated cortex.

Estudio e implementación de un algoritmo para la programación óptima de proyectos

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

Relationships between running economy and mechanics in middle-distance runners

Running economy (RE), i.e. the oxygen consumption at a given submaximal speed, is an important determinant of endurance running performance. So far, investigators have widely attempted to individuate the factors affecting RE in competitive athletes, focusing mainly on the relationships between RE and running biomechanics. However, the current results are inconsistent and a clear mechanical profile of an economic runner has not been yet established. The present work aimed to better understand how the running technique influences RE in sub-elite middle-distance runners by investigating the biomechanical parameters acting on RE and the underlying mechanisms. Special emphasis was given to accounting for intra-individual variability in RE at different speeds and to assessing track running rather than treadmill running. In Study One, a factor analysis was used to reduce the 30 considered mechanical parameters to few global descriptors of the running mechanics. Then, a biomechanical comparison between economic and non economic runners and a multiple regression analysis (with RE as criterion variable and mechanical indices as independent variables) were performed. It was found that a better RE was associated to higher knee and ankle flexion in the support phase, and that the combination of seven individuated mechanical measures explains ∼72% of the variability in RE. In Study Two, a mathematical model predicting RE a priori from the rate of force production, originally developed and used in the field of comparative biology, was adapted and tested in competitive athletes. The model showed a very good fit (R2=0.86). In conclusion, the results of this dissertation suggest that the very complex interrelationships among the mechanical parameters affecting RE may be successfully dealt with through multivariate statistical analyses and the application of theoretical mathematical models. Thanks to these results, coaches are provided with useful tools to assess the biomechanical profile of their athletes. Thus, individual weaknesses in the running technique may be identified and removed, with the ultimate goal to improve RE.

Modelizzazione spazio-temporale delle dinamiche di uso del suolo ed analisi comparativa di differenti approcci predittivi. Uso integrato di SIG e telerilevamento nello studio dei processi di deforestazione nella regione La Joyanca in Peten, Guatemala

L’uso frequente dei modelli predittivi per l’analisi di sistemi complessi, naturali o artificiali, sta cambiando il tradizionale approccio alle problematiche ambientali e di rischio. Il continuo miglioramento delle capacità di elaborazione dei computer facilita l’utilizzo e la risoluzione di metodi numerici basati su una discretizzazione spazio-temporale che permette una modellizzazione predittiva di sistemi reali complessi, riproducendo l’evoluzione dei loro patterns spaziali ed calcolando il grado di precisione della simulazione. In questa tesi presentiamo una applicazione di differenti metodi predittivi (Geomatico, Reti Neurali, Land Cover Modeler e Dinamica EGO) in un’area test del Petén, Guatemala. Durante gli ultimi decenni questa regione, inclusa nella Riserva di Biosfera Maya, ha conosciuto una rapida crescita demografica ed un’incontrollata pressione sulle sue risorse naturali. L’area test puó essere suddivisa in sotto-regioni caratterizzate da differenti dinamiche di uso del suolo. Comprendere e quantificare queste differenze permette una migliore approssimazione del sistema reale; é inoltre necessario integrare tutti i parametri fisici e socio-economici, per una rappresentazione più completa della complessità dell’impatto antropico. Data l’assenza di informazioni dettagliate sull’area di studio, quasi tutti i dati sono stati ricavati dall’elaborazione di 11 immagini ETM+, TM e SPOT; abbiamo poi realizzato un’analisi multitemporale dei cambi uso del suolo passati e costruito l’input per alimentare i modelli predittivi. I dati del 1998 e 2000 sono stati usati per la fase di calibrazione per simulare i cambiamenti nella copertura terrestre del 2003, scelta come data di riferimento per la validazione dei risultati. Quest’ultima permette di evidenziare le qualità ed i limiti per ogni modello nelle differenti sub-regioni.

Progettare l'ospitalità: turismi e turisti della città contemporanea

La ricerca si pone come obbiettivo principale quello di individuare gli strumenti in grado di controllare la qualità di una progettazione specifica che risponde alle forti richieste della domanda turistica di un territorio. Parte dalle più semplici teorie che inquadrano una costante condizione dell’uomo, “il VIAGGIARE”. La ricerca si pone come primo interrogativo quello definire una “dimensione” in cui le persone viaggiano, dove il concetto fisico di spazio dedicato alla vita si è spostato come e quanto si sposta la gente. Esiste una sorta di macroluogo (destinazione) che comprende tutti gli spazi dove la gente arriva e da cui spesso riparte. Pensare all'architettura dell’ospitalità significa indagare e comprendere come la casa non è più il solo luogo dove la gente abita. La ricerca affonda le proprie tesi sull’importanza dei “luoghi” appartenenti ad un territorio e come essi debbano riappropriarsi, attraverso un percorso progettuale, della loro più stretta vocazione attrattiva. Così come si sviluppa un’architettura dello stare, si manifesta un’architettura dello spostarsi e tali architetture si confondono e si integrano ad un territorio che per sua natura è esso stesso attrattivo. L’origine terminologica di nomadismo è passaggio necessario per la comprensione di una nuova dimensione architettonica legata a concetti quali mobilità e abitare. Si indaga pertanto all’interno della letteratura “diasporica”, in cui compaiono le prime configurazioni legate alla provvisorietà e alle costruzioni “erranti”. In sintesi, dopo aver posizionato e classificato il fenomeno turistico come nuova forma dell’abitare, senza il quale non si potrebbe svolgere una completa programmazione territoriale in quanto fenomeno oramai imprescindibile, la ricerca procede con l’individuazione di un ambito inteso come strumento di indagine sulle relazioni tra le diverse categorie e “tipologie” turistiche. La Riviera Romagnola è sicuramente molto famosa per la sua ospitalità e per le imponenti infrastrutture turistiche ma a livello industriale non è meno famosa per il porto di Ravenna che costituisce un punto di riferimento logistico per lo scambio di merci e materie prime via mare, oltre che essere, in tutta la sua estensione, caso di eccellenza. La provincia di Ravenna mette insieme tutti i fattori che servono a soddisfare le Total Leisure Experience, cioè esperienze di totale appagamento durante la vacanza. Quello che emerge dalle considerazioni svolte sul territorio ravennate è che il turista moderno non va più in cerca di una vacanza monotematica, in cui stare solo in spiaggia o occuparsi esclusivamente di monumenti e cultura. La richiesta è quella di un piacere procurato da una molteplicità di elementi. Pensiamo ad un distretto turistico dove l’offerta, oltre alla spiaggia o gli itinerari culturali, è anche occasione per fare sport o fitness, per rilassarsi in luoghi sereni, per gustare o acquistare cibi tipici e, allo stesso tempo, godere degli stessi servizi che una persona può avere a disposizione nella propria casa. Il percorso, finalizzato a definire un metodo di progettazione dell’ospitalità, parte dalla acquisizione delle esperienze nazionali ed internazionali avvenute negli ultimi dieci anni. La suddetta fase di ricerca “tipologica” si è conclusa in una valutazione critica che mette in evidenza punti di forza e punti di debolezza delle esperienze prese in esame. La conclusione di questa esplorazione ha prodotto una prima stesura degli “obbiettivi concettuali” legati alla elaborazione di un modello architettonico. Il progetto di ricerca in oggetto converge sul percorso tracciato dai Fiumi Uniti in Ravenna. Tale scelta consente di prendere in considerazione un parametro che mostri fattori di continuità tra costa e città, tra turismo balneare e turismo culturale, considerato quindi come potenziale strumento di connessione tra realtà spesso omologhe o complementari, in vista di una implementazione turistica che il progetto di ricerca ha come primo tra i suoi obiettivi. Il tema dell’architettura dell’ospitalità, che in questo caso si concretizza nell’idea di sperimentare l’ALBERGO DIFFUSO, è quello che permette di evidenziare al meglio la forma specifica della cultura locale, salvandone la vocazione universale. La proposta progettuale si articola in uno studio consequenziale ed organico in grado di promuovere una riflessione originale sul tema del modulo “abitativo” nei luoghi di prossimità delle emergenze territoriali di specifico interesse, attorno alle quali la crescente affluenza di un’utenza fortemente differenziata evidenzia la necessità di nodi singolari che si prestino a soddisfare una molteplicità di usi in contesti di grande pregio.

Structure learning of graphical models for task-oriented robot grasping

In the collective imaginaries a robot is a human like machine as any androids in science fiction. However the type of robots that you will encounter most frequently are machinery that do work that is too dangerous, boring or onerous. Most of the robots in the world are of this type. They can be found in auto, medical, manufacturing and space industries. Therefore a robot is a system that contains sensors, control systems, manipulators, power supplies and software all working together to perform a task. The development and use of such a system is an active area of research and one of the main problems is the development of interaction skills with the surrounding environment, which include the ability to grasp objects. To perform this task the robot needs to sense the environment and acquire the object informations, physical attributes that may influence a grasp. Humans can solve this grasping problem easily due to their past experiences, that is why many researchers are approaching it from a machine learning perspective finding grasp of an object using information of already known objects. But humans can select the best grasp amongst a vast repertoire not only considering the physical attributes of the object to grasp but even to obtain a certain effect. This is why in our case the study in the area of robot manipulation is focused on grasping and integrating symbolic tasks with data gained through sensors. The learning model is based on Bayesian Network to encode the statistical dependencies between the data collected by the sensors and the symbolic task. This data representation has several advantages. It allows to take into account the uncertainty of the real world, allowing to deal with sensor noise, encodes notion of causality and provides an unified network for learning. Since the network is actually implemented and based on the human expert knowledge, it is very interesting to implement an automated method to learn the structure as in the future more tasks and object features can be introduced and a complex network design based only on human expert knowledge can become unreliable. Since structure learning algorithms presents some weaknesses, the goal of this thesis is to analyze real data used in the network modeled by the human expert, implement a feasible structure learning approach and compare the results with the network designed by the expert in order to possibly enhance it.

Frame-driven Extraction of Linked Data and Ontologies from Text

Ontology design and population -core aspects of semantic technologies- re- cently have become fields of great interest due to the increasing need of domain-specific knowledge bases that can boost the use of Semantic Web. For building such knowledge resources, the state of the art tools for ontology design require a lot of human work. Producing meaningful schemas and populating them with domain-specific data is in fact a very difficult and time-consuming task. Even more if the task consists in modelling knowledge at a web scale. The primary aim of this work is to investigate a novel and flexible method- ology for automatically learning ontology from textual data, lightening the human workload required for conceptualizing domain-specific knowledge and populating an extracted schema with real data, speeding up the whole ontology production process. Here computational linguistics plays a fundamental role, from automati- cally identifying facts from natural language and extracting frame of relations among recognized entities, to producing linked data with which extending existing knowledge bases or creating new ones. In the state of the art, automatic ontology learning systems are mainly based on plain-pipelined linguistics classifiers performing tasks such as Named Entity recognition, Entity resolution, Taxonomy and Relation extraction [11]. These approaches present some weaknesses, specially in capturing struc- tures through which the meaning of complex concepts is expressed [24]. Humans, in fact, tend to organize knowledge in well-defined patterns, which include participant entities and meaningful relations linking entities with each other. In literature, these structures have been called Semantic Frames by Fill- 6 Introduction more [20], or more recently as Knowledge Patterns [23]. Some NLP studies has recently shown the possibility of performing more accurate deep parsing with the ability of logically understanding the structure of discourse [7]. In this work, some of these technologies have been investigated and em- ployed to produce accurate ontology schemas. The long-term goal is to collect large amounts of semantically structured information from the web of crowds, through an automated process, in order to identify and investigate the cognitive patterns used by human to organize their knowledge.

Hybrid Methods for Resource Allocation and Scheduling Problems in Deterministic and Stochastic Environments

This work presents exact, hybrid algorithms for mixed resource Allocation and Scheduling problems; in general terms, those consist into assigning over time finite capacity resources to a set of precedence connected activities. The proposed methods have broad applicability, but are mainly motivated by applications in the field of Embedded System Design. In particular, high-performance embedded computing recently witnessed the shift from single CPU platforms with application-specific accelerators to programmable Multi Processor Systems-on-Chip (MPSoCs). Those allow higher flexibility, real time performance and low energy consumption, but the programmer must be able to effectively exploit the platform parallelism. This raises interest in the development of algorithmic techniques to be embedded in CAD tools; in particular, given a specific application and platform, the objective if to perform optimal allocation of hardware resources and to compute an execution schedule. On this regard, since embedded systems tend to run the same set of applications for their entire lifetime, off-line, exact optimization approaches are particularly appealing. Quite surprisingly, the use of exact algorithms has not been well investigated so far; this is in part motivated by the complexity of integrated allocation and scheduling, setting tough challenges for ``pure'' combinatorial methods. The use of hybrid CP/OR approaches presents the opportunity to exploit mutual advantages of different methods, while compensating for their weaknesses. In this work, we consider in first instance an Allocation and Scheduling problem over the Cell BE processor by Sony, IBM and Toshiba; we propose three different solution methods, leveraging decomposition, cut generation and heuristic guided search. Next, we face Allocation and Scheduling of so-called Conditional Task Graphs, explicitly accounting for branches with outcome not known at design time; we extend the CP scheduling framework to effectively deal with the introduced stochastic elements. Finally, we address Allocation and Scheduling with uncertain, bounded execution times, via conflict based tree search; we introduce a simple and flexible time model to take into account duration variability and provide an efficient conflict detection method. The proposed approaches achieve good results on practical size problem, thus demonstrating the use of exact approaches for system design is feasible. Furthermore, the developed techniques bring significant contributions to combinatorial optimization methods.