1,086 research outputs found

    Effective Global Governance Structures: Regionalization and Legalization in the WTO

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    Considering the effectiveness of the WTO and global governance in general as insufficient to overcome growing problems in governing a globalizing world, I pursue four objectives. By shedding light on the changes in the environment of the WTO and their implications for the working of the WTO, I first want to underpin the case for structural reforms. My second, and central, aim is to recommend a more effective structure for the WTO. Thirdly, I draw general lessons for global governance from the example of the WTO. And finally, I assess the adequacy of my innovative research design. The research design is characterized by a broad analytical framework that traces how regional integration among nation states and legalization of international institutions affect bargaining and enforcement of international agreements; additionally, it considers trends that affect the WTO. The interdisciplinary theoretical framework combines insights from the fields of international relations, international law, and international economics, and builds upon rationalist and constructivist perspectives

    Learning from a restoration innovator: Building community capitals and resilience through the restoration economy

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    In the Mattole River Watershed of northern California, in response to a history of resource extraction, poor land-management practices, and the back-to-the-land movement, a restoration economy has emerged. This economy includes nonprofit watershed groups, individual landowners, local residents, state and federal agencies, foundations and for-profit consulting firms. Utilizing both qualitative and quantitative research methods, this study seeks to reveal how the 40-year community-based restoration economy in the Mattole Watershed has contributed to community well-being and local livelihoods, and how it has changed over time. Results suggest the restoration economy has contributed to a resilient and vibrant community and has enhanced community capitals – specifically human, social, cultural and political capital. Results further indicate that existing stocks of human and cultural capital enabled the development of the restoration economy, and that there is a circular and reciprocal relationship between community-based restoration and community capitals. This study concludes there are multiple challenges (or perhaps opportunities) ahead – including changes associated with the legalization of cannabis and increasingly stringent regulatory requirements

    AI/ML Algorithms and Applications in VLSI Design and Technology

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    An evident challenge ahead for the integrated circuit (IC) industry in the nanometer regime is the investigation and development of methods that can reduce the design complexity ensuing from growing process variations and curtail the turnaround time of chip manufacturing. Conventional methodologies employed for such tasks are largely manual; thus, time-consuming and resource-intensive. In contrast, the unique learning strategies of artificial intelligence (AI) provide numerous exciting automated approaches for handling complex and data-intensive tasks in very-large-scale integration (VLSI) design and testing. Employing AI and machine learning (ML) algorithms in VLSI design and manufacturing reduces the time and effort for understanding and processing the data within and across different abstraction levels via automated learning algorithms. It, in turn, improves the IC yield and reduces the manufacturing turnaround time. This paper thoroughly reviews the AI/ML automated approaches introduced in the past towards VLSI design and manufacturing. Moreover, we discuss the scope of AI/ML applications in the future at various abstraction levels to revolutionize the field of VLSI design, aiming for high-speed, highly intelligent, and efficient implementations

    Toward Socially Equitable Conditions: Change in Complex Regulatory Systems

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    The purpose of this qualitative participatory action research was to explore how complexity is engaged and experienced in complex regulatory systems, and to understand how cannabis might be regulated in ways that lead to socially equitable conditions. This was accomplished by studying the lived experiences of governmental leaders charged with the responsibility of establishing regulatory frameworks for legalized cannabis where none previously existed. Using the learning history methodology, the study deeply explores the ways that complex systems coexist by capturing the lived experiences of research participants and enhance theoretical understanding of complex regulatory systems. Data collection occurred through reflective interviews, followed by distillation and thematic analysis. This resulted in the creation of a data table and a learning history artifact that were validated by distribution to research participants and used as both an actionable tool for participants and an analytical tool to distill and categorize research findings. The data table and the artifact established three main findings: complexity is both a property and characteristic of systems; complexity is not a behavior, characteristic or action of “leadership” or “leaders” in complex regulatory systems; and the interplay between social justice and social equity is complex and often oversimplified. Rather than directing, participants brought about change by building interactive trust through dialogue and relationship-building in interactive spaces across and between macro, meso, and micro systems levels. Complexity arose from these participatory human relationships when both the properties and characteristics of these systems were engaged, but the theoretical construct of complexity does not explain the presence of agency within this dynamic. By recognizing agency across all systems, structural barriers may be reduced, resulting in regulatory frameworks that may lead to more socially equitable conditions. This research contributes to leadership and complexity scholarship by empirically describing how complexity is engaged in complex regulatory systems, examining whether complexity has any connection to the practice of leadership, and adding to the emerging area of cannabis scholarship as it relates to social equity and the broader impacts of the war on drugs. This dissertation is available in open access at AURA (https://aura.antioch.edu) and OhioLINK ETD Center (https://etd.ohiolink.edu)

    Timing optimization during the physical synthesis of cell-based VLSI circuits

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    Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2016.Abstract : The evolution of CMOS technology made possible integrated circuits with billions of transistors assembled into a single silicon chip, giving rise to the jargon Very-Large-Scale Integration (VLSI). The required clock frequency affects the performance of a VLSI circuit and induces timing constraints that must be properly handled by synthesis tools. During the physical synthesis of VLSI circuits, several optimization techniques are used to iteratively reduce the number of timing violations until the target clock frequency is met. The dramatic increase of interconnect delay under technology scaling represents one of the major challenges for the timing closure of modern VLSI circuits. In this scenario, effective interconnect synthesis techniques play a major role. That is why this thesis targets two timing optimization problems for effective interconnect synthesis: Incremental Timing-Driven Placement (ITDP) and Incremental Timing-Driven Layer Assignment (ITLA). For solving the ITDP problem, this thesis proposes a new Lagrangian Relaxation formulation that minimizes timing violations for both setup and hold timing constraints. This work also proposes a netbased technique that uses Lagrange multipliers as net-weights, which are dynamically updated using an accurate timing analyzer. The netbased technique makes use of a novel discrete search to relocate cells by employing the Euclidean distance to define a proper neighborhood. For solving the ITLA problem, this thesis proposes a network flow approach that handles simultaneously critical and non-critical segments, and exploits a few flow conservation conditions to extract timing information for each net segment individually, thereby enabling the use of an external timing engine. The experimental validation using benchmark suites derived from industrial circuits demonstrates the effectiveness of the proposed techniques when compared with state-of-the-art works.A evolução da tecnologia CMOS viabilizou a fabricação de circuitos integrados contendo bilhões de transistores em uma única pastilha de silício, dando origem ao jargão Very-Large-Scale Integration (VLSI). A frequência-alvo de operação de um circuito VLSI afeta o seu desempenho e induz restrições de timing que devem ser manipuladas pelas ferramentas de síntese. Durante a síntese física de circuitos VLSI, diversas técnicas de otimização são usadas para iterativamente reduzir o número de violações de timing até que a frequência-alvo de operação seja atingida. O aumento dramático do atraso das interconexões devido à evolução tecnológica representa um dos maiores desafios para o fluxo de timing closure de circuitos VLSI contemporâneos. Nesse cenário, técnicas de síntese de interconexão eficientes têm um papel fundamental. Por este motivo, esta tese aborda dois problemas de otimização de timing para uma síntese eficiente das interconexões de um circuito VLSI: Incremental Timing-Driven Placement (ITDP) e Incremental Timing-Driven Layer Assignment (ITLA). Para resolver o problema de ITDP, esta tese propõe uma nova formulação utilizando Relaxação Lagrangeana que tem por objetivo a minimização simultânea das violações de timing para restrições do tipo setup e hold. Este trabalho também propõe uma técnica que utiliza multiplicadores de Lagrange como pesos para as interconexões, os quais são atualizados dinamicamente através dos resultados de uma ferramenta de análise de timing. Tal técnica realoca as células do circuito por meio de uma nova busca discreta que adota a distância Euclidiana como vizinhança.Para resolver o problema de ITLA, esta tese propõe uma abordagem em fluxo em redes que otimiza simultaneamente segmentos críticos e não-críticos, e explora algumas condições de fluxo para extrair as informações de timing para cada segmento individualmente, permitindo assim o uso de uma ferramenta de timing externa. A validação experimental, utilizando benchmarks derivados de circuitos industriais, demonstra a eficiência das técnicas propostas quando comparadas com trabalhos estado da arte

    The clinical implications of dissolutioned adoption : a theoretical intersection of the neurosequential model of therapeutics and attachment theory

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    This theoretical investigation of adoption dissolution integrates psychodynamic theory and the neurodevelopmental impact of trauma into clinical practice with children. After providing an in depth review of available literature on adoption dissolution, the focus will shift to the chosen theories. The two theory chapters within this research utilize attachment theory as the core psychodynamic theory and the neurosequential model of therapeutics to provide a neurodevelopmental perspective and treatment interventions as related to dissolutioned adoptions. A discussion chapter will critique the chosen theories and integrate the research into practice by utilizing a case study, and lastly provide recommendations for individual therapy with children and child welfare policy

    The state of psychological services for people with physical and cognitive disabilities: an integrative systematic review

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    The present study investigated the state of psychotherapy for people with physical and cognitive disabilities in a systematic review. Specifically, this study analyzed qualitative and quantitative studies which examined therapists’ abilities to conceptualize disability as a dimension of cultural competence, the models and conceptualizations of disability and psychotherapy being used with people with disabilities (PWD) in psychotherapy, and the experiences of PWD in psychotherapy. This study analyzed 18 empirical studies and integrated both qualitative and quantitative methods. Source eligibility criteria for this systematic review was the same for both qualitative and quantitative studies. Eligibility criteria included being: peer-reviewed journal articles, international and domestic locations, in the English Language, and published after 2010. This review excluded case studies. The researchers appraised the quality of each study using the Critical Appraisal Form, and recorded the research variables from each study using the Data Collection and Extraction Form. Data was then entered into customized Excel spreadsheets in the form of Evidence Tables. A synthesis of important findings was conducted to describe the similar themes found in the data. The findings of this research point to the need for further research which includes PWD in psychotherapy, such as improving therapists’ cultural competence, more variety of psychotherapy orientations and models for PWD, and increased narratives of PWD in psychotherapy

    Designing an Online Civic Engagement Platform: Balancing More vs. Better Participation in Complex Public Policymaking

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    A new form of online citizen participation in government decisionmaking has arisen in the United States (U.S.) under the Obama Administration. “Civic Participation 2.0” attempts to use Web 2.0 information and communication technologies to enable wider civic participation in government policymaking, based on three pillars of open government: transparency, participation, and collaboration. Thus far, the Administration has modeled Civic Participation 2.0 almost exclusively on a universalist/populist Web 2.0 philosophy of participation. In this model, content is created by users, who are enabled to shape the discussion and assess the value of contributions with little information or guidance from government decisionmakers. The authors suggest that this model often produces “participation” unsatisfactory to both government and citizens. The authors propose instead a model of Civic Participation 2.0 rooted in the theory and practice of democratic deliberation. In this model, the goal of civic participation is to reveal the conclusions people reach when they are informed about the issues and have the opportunity and motivation seriously to discuss them. Accordingly, the task of civic participation design is to provide the factual and policy information and the kinds of participation mechanisms that support and encourage this sort of participatory output. Based on the authors’ experience with Regulation Room, an experimental online platform for broadening effective civic participation in rulemaking (the process federal agencies use to make new regulations), the authors offer specific suggestions for how designers can strike the balance between ease of engagement and quality of engagement – and so bring new voices into public policymaking processes through participatory outputs that government decisionmakers will value

    Designing an Online Civic Engagement Platform: Balancing More vs. Better Participation in Complex Public Policymaking

    Get PDF
    A new form of online citizen participation in government decisionmaking has arisen in the United States (U.S.) under the Obama Administration. “Civic Participation 2.0” attempts to use Web 2.0 information and communication technologies to enable wider civic participation in government policymaking, based on three pillars of open government: transparency, participation, and collaboration. Thus far, the Administration has modeled Civic Participation 2.0 almost exclusively on a universalist/populist Web 2.0 philosophy of participation. In this model, content is created by users, who are enabled to shape the discussion and assess the value of contributions with little information or guidance from government decisionmakers. The authors suggest that this model often produces “participation” unsatisfactory to both government and citizens. The authors propose instead a model of Civic Participation 2.0 rooted in the theory and practice of democratic deliberation. In this model, the goal of civic participation is to reveal the conclusions people reach when they are informed about the issues and have the opportunity and motivation seriously to discuss them. Accordingly, the task of civic participation design is to provide the factual and policy information and the kinds of participation mechanisms that support and encourage this sort of participatory output. Based on the authors’ experience with Regulation Room, an experimental online platform for broadening effective civic participation in rulemaking (the process federal agencies use to make new regulations), the authors offer specific suggestions for how designers can strike the balance between ease of engagement and quality of engagement – and so bring new voices into public policymaking processes through participatory outputs that government decisionmakers will value
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