O presente trabalho pesquisou a representação social e o Discurso do Sujeito Coletivo de uma população com saneamento básico deficiente, em relação à água suja e a transmissão de doenças de veiculação hídrica. O estudo se justifica, pois as doenças infecciosas e parasitárias (DIP) estão diretamente associadas à falta de saneamento básico. Nesse sentido, há comunidades que, mesmo dispondo de tratamento adequado de água e esgoto não conhecem o fato de que medidas básicas de higiene são suficientes para controlar doenças de veiculação hídrica. Considerando-se o exposto, os objetivos da pesquisa ora apresentada são: identificar e analisar a representação social relacionando a água suja e doenças de veiculação hídrica. Para a consecução dos objetivos acima, foram utilizados dados secundários obtidos do IBGE e de outros órgãos governamentais e dados primários coletados a partir de entrevistas com habitantes de favelas do distrito de Campo Limpo, zona sul de São Paulo. Os resultados foram sistematizados com o auxilio do programa computacional Qualiquantsoft / The present research investigates the social representation and the collective subject\'s discourse, in relation to dirty water and the transmission of water borne diseases. The study is important because infectious and parasitic diseases are directly related to poor basic sanitation conditions. Being so, there are communities that have adequate water and sewage treatment and are not aware of the fact that basic hygiene habits are enough to control water borne diseases. Considering the exposed herein, the objectives of this study are: identify and analyze the social representation, correlating water borne diseases with dirty water, based on secondary data obtained from IBGE (Brazilian Institute of Geography and Statistics) and other governmental institutions as well as on primary data collected from recorded interviews, with people living in slums of Campo Limpo. The results were analyzed using the software Qualiquantsoft

The object of this thesis is to study the attempts made by writers and filmmakers in two very different socio-cultural contexts to depict and elucidate the experience of political violence, particularly torture, in the periods 1954-1962 and 1976-1983. I seek to apply the hypotheses of Anglo-American and French theorists with an interest in historical representation, as well as trauma, to both 'realist' and experimental accounts of the widespread oppression that occurred during the Algerian war of independence and later during the so-called 'Dirty War' in Argentina. The texts analysed in detail include novels and short stories by Kateb Yacine, Assia Djebar, Julio Cortázar and Luisa Valenzuela; the films I examine most closely are the Algerian-Italian 'docudrama' La Bataille d'Alger and the Argentine melodrama La historia oficial. However, the thesis also addresses other non-factual portrayals of brutality, such as the Nouvelle Vague's meditations on decolonization, and autobiographical writings, such as military memoirs and survivors' testimony, as a means of elaborating more fully on the issues at stake in the works cited above. It explores the difficulty - and the possibility - of giving voice to histories that simultaneously resist and demand articulation, and ultimately, of reconstituting the fragmented or 'disappeared' subject through narrative: of using fiction to summon the 'ghosts' of the past.

“From Brecht to Butler: An Analysis of Dirty Grrrls” is a production centered thesis focusing on the image of the mudflap girl. The study examines the graduate production Dirty Grrrls as a form of praxis intersecting the mudflap girl, the theory of gender performativity, and Brechtian methodology. As a common yet unexplored symbol of hypersexual visual culture in U.S. American society, the mudflap girl acts as a relevant subject matter for both the performance and written portion of the study. Through the production, mudflap girl materializes at the meeting point of the terms performance and performativity. The written portion of this project examines this intersection and discusses the productive cultural work accomplished on the page and on the stage via live embodiment of performativity.

O presente trabalho pesquisou a representação social e o Discurso do Sujeito Coletivo de uma população com saneamento básico deficiente, em relação à água suja e a transmissão de doenças de veiculação hídrica. O estudo se justifica, pois as doenças infecciosas e parasitárias (DIP) estão diretamente associadas à falta de saneamento básico. Nesse sentido, há comunidades que, mesmo dispondo de tratamento adequado de água e esgoto não conhecem o fato de que medidas básicas de higiene são suficientes para controlar doenças de veiculação hídrica. Considerando-se o exposto, os objetivos da pesquisa ora apresentada são: identificar e analisar a representação social relacionando a água suja e doenças de veiculação hídrica. Para a consecução dos objetivos acima, foram utilizados dados secundários obtidos do IBGE e de outros órgãos governamentais e dados primários coletados a partir de entrevistas com habitantes de favelas do distrito de Campo Limpo, zona sul de São Paulo. Os resultados foram sistematizados com o auxilio do programa computacional Qualiquantsoft / The present research investigates the social representation and the collective subject\'s discourse, in relation to dirty water and the transmission of water borne diseases. The study is important because infectious and parasitic diseases are directly related to poor basic sanitation conditions. Being so, there are communities that have adequate water and sewage treatment and are not aware of the fact that basic hygiene habits are enough to control water borne diseases. Considering the exposed herein, the objectives of this study are: identify and analyze the social representation, correlating water borne diseases with dirty water, based on secondary data obtained from IBGE (Brazilian Institute of Geography and Statistics) and other governmental institutions as well as on primary data collected from recorded interviews, with people living in slums of Campo Limpo. The results were analyzed using the software Qualiquantsoft

La ricerca muove dalla ricognizione della complessa fenomenologia del riciclaggio e, più in generale, delle problematiche connesse alla circolazione di capitali illeciti. Si individuano anzitutto i reati maggiormente significativi quali fonti di “denaro sporco”; si indagano, quindi, le tecniche di riciclaggio e le dimensioni dell’economia illecita. Ci si interroga sulle esigenze di contrasto e sugli strumenti a tal fine più opportuni. Si ravvisa l’esigenza di una strategia che si articoli su più piani, affiancando alle fattispecie di reato ulteriori strumenti, quali un’efficace normativa preventiva e uno stringente sistema di sanzioni patrimoniali. Si passa dunque ad una valutazione della normativa vigente. Dapprima si esamina la disciplina internazionale e sovranazionale; si prendono poi a modello le opzioni normative adottate negli Stati Uniti e in Spagna. Si analizza infine nel dettaglio la legislazione italiana. Vengono espresse perplessità circa l’attuale disciplina codicistica (artt. 648-bis c.p.; 648-ter c.p.). Entrambe le norme meriterebbero una serie di riforme, così da risultare maggiormente aderenti alle esigenze di tutela delle quali devono farsi carico. Si analizza nel dettaglio la questione dell’ “auto-riciclaggio” e l’opportunità di mantenere un’esenzione di pena per l’autore del reato dal quale provengono le utilità riciclate. Si esamina la normativa cd. complementare (disciplina preventiva, sanzioni patrimoniali e responsabilità amministrativa degli enti) e se ne evidenziano punti di forza e debolezza quali strumenti di contrasto ai capitali illeciti. / Money-laundering is an extremely wide and complex phenomenon. Indeed, the first part of the work is focused on the analysis of how money is laundered: which are the most relevant predicate offenses; the techniques used to make money appear legal; the attempts to measure how much money is laundered; the impacts of money-laundering on economy. It’s clear the importance of a strong reaction against money-laundering to prevent the damages coming from it. The problem is understanding the role that criminal law has to play in such struggle. Criminalization can’t be the only solution; it’s rather prominent the use - inter alia - of preventive measures (such as reporting suspicious transactions)and seizure. The second part of the work recalls international efforts to combat money-laundering: multilateral conventions, FATF Recommendations, etc. After that, the attention is focused on American and Spanish legislation, taken as specific examples of how to criminalize money-laundering. The third part of the research concerns Italian law: the offences of money-laundering, the so called preventive law (i.e. d.lgs. 231/2007) and the law of seizure. Some proposals of review are given for each kind of section.

Conventional multicell wireless systems operate with out-of-cell interference treated as background noise; consequently, their performance faces two major limitations: 1)Signal processing is performed on a per-cell basis; and 2)Intercell interference detection is infeasible as intercell interference, although significantly above the noise level, is typically quite weak. In this thesis, we consider a multicell downlink scenario, where base-stations are equipped with multiple transmit antennas, the remote users are equipped with a single antenna, and multiple remote users are active simultaneously via spatial division multiplexing. We propose solutions for the above limitations by considering techniques for mitigating interference. The first part of the thesis proposes solutions for the first limitation. It considers the benefit of coordinating base-stations across multiple cells, where multiple base-stations may jointly optimize their respective beamformers to improve the overall system performance. It focuses on the design criteria of minimizing either the total weighted transmitted power or the maximum per-antenna power across the base-stations subject to signal-to-interference-and-noise-ratio (SINR) constraints at the remote users. The main contribution of this part is an efficient algorithm for finding the joint globally optimal beamformers across all base-stations. The proposed algorithm is based on a generalization of uplink-downlink duality to the multicell setting using the Lagrangian duality theory. An important feature is that it naturally leads to a distributed implementation in time-division duplex (TDD) systems. Simulation results suggest that coordinating the beamforming vectors alone already provides appreciable performance improvements as compared to the conventional per-cell optimized network. The second part of the thesis considers the transmission of both private and common messages for the sole purpose of intercell interference mitigation. It solves the issues of the second limitation mentioned above. It considers the benefit of designing decodable interference signals by allowing common-private message splitting at the transmitter and common message decoding by users in adjacent cells. It solves a network optimization problem of jointly determining the appropriate users in adjacent cells for rate splitting, the optimal beamforming vectors for both common and private messages, and the optimal common-private rates to minimize the total transmit power across the base-stations subject to service rate requirements for remote users. Observe that for fixed user selection and fixed common-private rate splitting, the optimization of beamforming vectors can be performed using a semidefinite programming approach. Further, this part of the thesis proposes a heuristic user-selection and rate splitting strategy to maximize the benefit of common message decoding. This part proposes a heuristic algorithm to characterize the improvement in the feasible rates with common-message decoding. Simulation results show that common message decoding can significantly improve both the total transmit power and the feasibility region for cell-edge users when base-stations are closely spaced from each other.

Conventional multicell wireless systems operate with out-of-cell interference treated as background noise; consequently, their performance faces two major limitations: 1)Signal processing is performed on a per-cell basis; and 2)Intercell interference detection is infeasible as intercell interference, although significantly above the noise level, is typically quite weak. In this thesis, we consider a multicell downlink scenario, where base-stations are equipped with multiple transmit antennas, the remote users are equipped with a single antenna, and multiple remote users are active simultaneously via spatial division multiplexing. We propose solutions for the above limitations by considering techniques for mitigating interference. The first part of the thesis proposes solutions for the first limitation. It considers the benefit of coordinating base-stations across multiple cells, where multiple base-stations may jointly optimize their respective beamformers to improve the overall system performance. It focuses on the design criteria of minimizing either the total weighted transmitted power or the maximum per-antenna power across the base-stations subject to signal-to-interference-and-noise-ratio (SINR) constraints at the remote users. The main contribution of this part is an efficient algorithm for finding the joint globally optimal beamformers across all base-stations. The proposed algorithm is based on a generalization of uplink-downlink duality to the multicell setting using the Lagrangian duality theory. An important feature is that it naturally leads to a distributed implementation in time-division duplex (TDD) systems. Simulation results suggest that coordinating the beamforming vectors alone already provides appreciable performance improvements as compared to the conventional per-cell optimized network. The second part of the thesis considers the transmission of both private and common messages for the sole purpose of intercell interference mitigation. It solves the issues of the second limitation mentioned above. It considers the benefit of designing decodable interference signals by allowing common-private message splitting at the transmitter and common message decoding by users in adjacent cells. It solves a network optimization problem of jointly determining the appropriate users in adjacent cells for rate splitting, the optimal beamforming vectors for both common and private messages, and the optimal common-private rates to minimize the total transmit power across the base-stations subject to service rate requirements for remote users. Observe that for fixed user selection and fixed common-private rate splitting, the optimization of beamforming vectors can be performed using a semidefinite programming approach. Further, this part of the thesis proposes a heuristic user-selection and rate splitting strategy to maximize the benefit of common message decoding. This part proposes a heuristic algorithm to characterize the improvement in the feasible rates with common-message decoding. Simulation results show that common message decoding can significantly improve both the total transmit power and the feasibility region for cell-edge users when base-stations are closely spaced from each other.

Cooperative wireless communication has received significant attention during recent years due to several reasons. First, since the received power decreases rapidly with distance, the idea of multi-hopping is becoming of particular importance. In multi-hopped communication, the source exploits some intermediate nodes as relays. Then the source sends its message via those relays to the destination. Second, relays can emulate some kind of distributed transmit antennas to form spatial diversity and combat multi-path fading effect of the wireless channel. Parallel Relay Channel is an information theoretical model for a communication system whereby a sender aims to communicate to a receiver with the help of relay nodes. It represents the simplest model for a multi–hop wireless network and a full understanding of the limits of communication over such a channel can potentially shed light on the design of more efficient wireless networks. However, the capacity of the relay channel has been established only for few special cases and little progress has been made toward solving the general case since the early 1980s. In this dissertation, motivated by practical constraints, we study the information theoretical limits of the half-duplex Gaussian Parallel Relay channel , as well as, the transmission strategies for the parallel relay channel with bandwidth mismatch between the first and the second hops. Chapter 2 investigates the problem of communication for a network composed of two half-duplex parallel relays with additive white Gaussian noise (AWGN). There is no direct link between the source and the destination. However, the relays can communicate with each other through the channel between them. Two protocols, i.e., \emph{Simultaneous} and \emph{Successive} relaying, associated with two possible relay scheduling are proposed. The simultaneous relaying protocol is based on \emph{Broadcast-multiaccess with Common Message (BCM)} scheme. For the successive relaying protocol: (i) a \emph{Non-Cooperative} scheme based on the \emph{Dirty Paper Coding (DPC)}, and (ii) a \emph{Cooperative} scheme based on the \emph{Block Markov Encoding (BME)} are considered. The composite scheme of employing BME in \emph{at most} one relay and DPC in \emph{at least} another one is shown to achieve at least the same rate when compared to the \emph{Cooperative} and \emph{Non-Cooperative} schemes. A \emph{``Simultaneous-Successive Relaying based on Dirty paper coding scheme" (SSRD)} is also proposed. The optimum scheduling of the relays and hence the capacity of the half-duplex Gaussian parallel relay channel in the low and high signal-to-noise ratio (SNR) scenarios is derived. In the low SNR scenario, it is revealed that under certain conditions for the channel coefficients, the ratio of the achievable rate of the simultaneous relaying based on BCM to the cut-set bound tends to be 1. On the other hand, as SNR goes to infinity, it is proved that successive relaying, based on the DPC, asymptotically achieves the capacity of the network. Schein and Gallager introduced the Gaussian parallel relay channel in 2000. They proposed the Amplify-and-Forward (AF) and the Decode-and-Forward (DF) strategies for this channel. For a long time, the best known achievable rate for this channel was based on the AF and DF with time sharing (AF-DF). Recently, a Rematch-and-Forward (RF) scheme for the scenario in which different amounts of bandwidth can be assigned to the first and second hops were proposed. In chapter 3, we propose a \emph{Combined Amplify-and-Decode Forward (CADF)} scheme for the Gaussian parallel relay channel. We prove that the CADF scheme always gives a better achievable rate compared to the RF scheme, when there is a bandwidth mismatch between the first hop and the second hop. Furthermore, for the equal bandwidth case (Schein's setup), we show that the time sharing between the CADF and the DF schemes (CADF-DF) leads to a better achievable rate compared to the time sharing between the RF and the DF schemes (RF-DF) as well as the AF-DF.

The area of cooperative communications has received tremendous research interest in recent years. This interest is not unwarranted, since cooperative communications promises the ever-so-sought after diversity and multiplexing gains typically associated with multiple-input multiple-output (MIMO) communications, without actually employing multiple antennas. In this dissertation, we consider several cooperative communication channels, and for each one of them, we develop information theoretic coding schemes and derive their corresponding performance limits. We next develop and design practical coding strategies which perform very close to the information theoretic limits. The cooperative communication channels we consider are: (a) The Gaussian relay channel, (b) the quasi-static fading relay channel, (c) cooperative multiple-access channel (MAC), and (d) the cognitive radio channel (CRC). For the Gaussian relay channel, we propose a compress-forward (CF) coding strategy based on Wyner-Ziv coding, and derive the achievable rates specifically with BPSK modulation. The CF strategy is implemented with low-density parity-check (LDPC) and irregular repeataccumulate codes and is found to operate within 0.34 dB of the theoretical limit. For the quasi-static fading relay channel, we assume that no channel state information (CSI) is available at the transmitters and propose a rateless coded protocol which uses rateless coded versions of the CF and the decode-forward (DF) strategy. We implement the protocol with carefully designed Raptor codes and show that the implementation suffers a loss of less than 10 percent from the information theoretical limit. For the MAC, we assume quasi-static fading, and consider cooperation in the low-power regime with the assumption that no CSI is available at the transmitters. We develop cooperation methods based on multiplexed coding in conjunction with rateless codes and find the achievable rates and in particular the minimum energy per bit to achieve a certain outage probability. We then develop practical coding methods using Raptor codes, which performs within 1.1 dB of the performance limit. Finally, we consider a CRC and develop a practical multi-level dirty-paper coding strategy using LDPC codes for channel coding and trellis-coded quantization for source coding. The designed scheme is found to operate within 0.78 dB of the theoretical limit. By developing practical coding strategies for several cooperative communication channels which exhibit performance close to the information theoretic limits, we show that cooperative communications not only provide great benefits in theory, but can possibly promise the same benefits when put into practice. Thus, our work can be considered a useful and necessary step towards the commercial realization of cooperative communications.

This paper revisits one of the more frequented stops at the crossroads of politics and morality in contemporary ethical theory, Michael Walzer’s essay “Political Action: The Problem of Dirty Hands.” The aim is to provide a fresh assessment of Walzer’s project, and to evaluate the tenability of its core notion of “dirty hands.” In pursuit of this aim, the effort is made to reopen the paths which take Walzer to his celebrated impasse, from two directions. The first of these resituates Walzer’s analysis in the context of the debate within Anglo-American ethical theory in which it is originally expounded. The second route seeks to recapture the trail of thinkers who guide Walzer to his conclusions from more remote locations in intellectual history, in order to determine the reliability of his intriguing constellation of Machiavelli, Weber and Camus as lodestars. Writing thirty years later, one of Walzer’s friendliest interpreters, Jean Elshtain, in the midst of her enthusiasm for ‘dirty hands,’ renews doubts about his recommendation of “casuistry.” Hints from throughout Walzer’s essay, incompletely elaborated there, are parceled together into closing suggestions as to an alternative approach to so-called ‘dirty hands’ situations. / text