Resource allocation analysis of the stochastic diffusion search

The Stochastic Diffusion Search (SDS) was developed as a solution to the best-fit search problem. Thus, as a special case it is capable of solving the transform invariant pattern recognition problem. SDS is efficient and, although inherently probabilistic, produces very reliable solutions in widely ranging search conditions. However, to date a systematic formal investigation of its properties has not been carried out. This thesis addresses this problem. The thesis reports results pertaining to the global convergence of SDS as well as characterising its time complexity. However, the main emphasis of the work, reports on the resource allocation aspect of the Stochastic Diffusion Search operations. The thesis introduces a novel model of the algorithm, generalising an Ehrenfest Urn Model from statistical physics. This approach makes it possible to obtain a thorough characterisation of the response of the algorithm in terms of the parameters describing the search conditions in case of a unique best-fit pattern in the search space. This model is further generalised in order to account for different search conditions: two solutions in the search space and search for a unique solution in a noisy search space. Also an approximate solution in the case of two alternative solutions is proposed and compared with predictions of the extended Ehrenfest Urn model. The analysis performed enabled a quantitative characterisation of the Stochastic Diffusion Search in terms of exploration and exploitation of the search space. It appeared that SDS is biased towards the latter mode of operation. This novel perspective on the Stochastic Diffusion Search lead to an investigation of extensions of the standard SDS, which would strike a different balance between these two modes of search space processing. Thus, two novel algorithms were derived from the standard Stochastic Diffusion Search, ‘context-free’ and ‘context-sensitive’ SDS, and their properties were analysed with respect to resource allocation. It appeared that they shared some of the desired features of their predecessor but also possessed some properties not present in the classic SDS. The theory developed in the thesis was illustrated throughout with carefully chosen simulations of a best-fit search for a string pattern, a simple but representative domain, enabling careful control of search conditions.

Communicating uncertainties in sea surface temperature

A project on sea surface temperature is generating new climate data records from satellite observations. The data are independent of in situ observations and are harmonious across satellite sensors to maximize stability and have realistic, context-sensitive uncertainty estimates at all spatial and temporal scales. The project, part of the European Space Agency Climate Change Initiative (SST CCI), now seeks to establish a useful method for communicating uncertainty in sea surface temperatures. This goal was the impetus for a workshop held in November 2014 in Exeter in the United Kingdom, summarised in this article.

Utmaningen från andra berättelser : En studie om moraliskt omdöme, utvidgat tänkande och kritiskt reflekterande berättelser i dialogbaserad feministisk etik

The present study has a threefold aim: First, the theoretical aim is to give a contribution to refinement of the theory of dialogue based feminist ethics, concerning the understanding of judgment and narration within such an ethics.  The study also has an empirical aim, defined as to clarify what kind of knowledge, relevant to the moral judgment of an engaged outsider actor, can be received from dialogical interpretation and analysis of a limited selection of critically reflecting life stories. Third, a methodological aim is defined as to develop an approach to interpretation and analysis of reflecting life stories, which renders the storyteller visible as a reflecting moral subject, and makes the story accessible as a source of knowledge for the moral judgment of an engaged outsider actor. The thesis combines philosophical reflection and argumentation, with a narrative-hermeneutic method for interpretation of life stories, relating the two to each other in a hermeneutic process.  The theoretical reflection draws on Seyla Benhabibs theory of communicative ethics. A dialogue based model for moral justification and a likewise dialogue based model for political legitimacy are at the heart of this universalistic theory, although in combination with a conception of a narratively and hermeneutically constituted context sensitive moral judgment, based on Hannah Arendt’s concept “enlarged thought”. In the reflection, this model is related to other feminist theorizing within the tradition of dialogue based feminist ethics, as found in the works of Iris M. Young, Georgia Warnke and Shari Stone-Mediatore. The empirical study draws on three critically reflecting life stories from Israeli-Palestinian women activists for a just peace. The methodology for interpretation and analysis that is worked out combines dialogical interpretation as presented in Arthur W. Frank’s socio-narratology with a method for structural analysis derived from Shari Stone-Mediatores theory of storytelling as an expression of political resistance struggle. The results show that some stories drawing on marginalized experiences have a potential­ to stimulate further public debate through their capacity to enable a stereoscopic seeing, elucidating a tension between ideologically structured discourse and non-linguistic experience; implying that narrative-hermeneutic competence should be considered crucial for public debate.  

Scaling connectionist compositional representations

The Recursive Auto-Associative Memory (RAAM) has come to dominate connectionist investigations into representing compositional structure. Although an adequate model when dealing with limited data, the capacity of RAAM to scale-up to real-world tasks has been frequently questioned. RAAM networks are difficult to train (due to the moving target effect) and as such training times can be lengthy. Investigations into RAAM have produced many variants in an attempt to overcome such limitations. We outline how one such model ((S)RAAM) is able to quickly produce context-sensitive representations that may be used to aid a deterministic parsing process. By substituting a symbolic stack in an existing hybrid parser, we show that (S)RAAM is more than capable of encoding the real-world data sets employed. We conclude by suggesting that models such as (S)RAAM offer valuable insights into the features of connectionist compositional representations.

Contextualizing the business responsibility to respect: How much is lost in translation?

As the work of the UN Special Representative (UNSR) for business and human rights moves towards its conclusion in mid-2011, the core principles of the UNSR’s ‘responsibility to respect’ framework have received widespread endorsement from businesses, NGOs and governments. The translation of these general principles into specific obligations governing business activity will need to differ according to context. The reasons why overarching regulatory principles can get ‘lost in translation’ when applied in practice have important implications for understanding how the UNSR’s responsibility to respect framework can be meaningfully implemented across widely varying regulatory contexts. The central goal of this chapter is to understand why and under what conditions this loss is likely to arise, and how regulatory standards for business and human rights might be designed to enable the responsibility to respect principle to be applied in context-sensitive ways, without losing regulatory force.

Protecting and promoting mental health in the workplace : developing a systems approach to job stress

Issue addressed: Job stress has been linked to a wide range of adverse effects on mental, physical, and organisational health. Despite the evidence that systems approaches are most effective in reducing the adverse impact of job stress, prevalent practice is dominated by worker- or individual-focused strategies in the absence of commensurate intervention on working conditions. Methods: A literature review and cross-disciplinary conceptual synthesis were combined in the articulation of a systems approach to job stress. Results: An outline of the job stress process is followed by explanation of how a systems approach addresses the various steps in the stress process. Systems approaches to job stress emphasise primary prevention or focusing on stressors as the upstream determinants of job stress. Additionally, systems approaches integrate primary with worker-directed secondary and illness-directed tertiary intervention, include the meaningful participation of groups targeted by intervention, and are context- sensitive. Systems approach intervention principles are illustrated by concrete examples of intervention strategies and activities. Conclusions: Further efforts are needed to promote, disseminate, implement, and evaluate systems approaches to job stress and to improve cross-disciplinary cooperation in this effort. (author abtract)

Protecting and promoting mental health in the workplace: developing a systems approach to job stress

Issue addressed: Job stress has been linked to a wide range of adverse effects on mental, physical, and organisational health. Despite the evidence that systems approaches are most effective in reducing the adverse impact of job stress, prevalent practice is dominated by worker- or individual-focused strategies in the absence of commensurate intervention on working conditions. Methods: A literature review and cross-disciplinary conceptual synthesis were combined in the articulation of a systems approach to job stress. Results: An outline of the job stress process is followed by explanation of how a systems approach addresses the various steps in the stress process. Systems approaches to job stress emphasise primary prevention or focusing on stressors as the upstream determinants of job stress. Additionally, systems approaches integrate primary with worker-directed secondary and illness-directed tertiary intervention, include the meaningful participation of groups targeted by intervention, and are context- sensitive. Systems approach intervention principles are illustrated by concrete examples of intervention strategies and activities. Conclusions: Further efforts are needed to promote, disseminate, implement, and evaluate systems approaches to job stress and to improve cross-disciplinary cooperation in this effort.

Using adaptive automata in a multi-paradigm programming environment

In this paper the architecture of an experimental multiparadigmatic programming environment is sketched, showing how its parts combine together with application modules in order to perform the integration of program modules written in different programming languages and paradigms. Adaptive automata are special self-modifying formal state machines used as a design and implementation tool in the representation of complex systems. Adaptive automata have been proven to have the same formal power as Turing Machines. Therefore, at least in theory, arbitrarily complex systems may be modeled with adaptive automata. The present work briefly introduces such formal tool and presents case studies showing how to use them in two very different situations: the first one, in the name management module of a multi-paradigmatic and multi-language programming environment, and the second one, in an application program implementing an adaptive automaton that accepts a context-sensitive language.

Expanding the coverage of pension systems in Latin America

Includes bibliography

O desenvolvimento moral na educação infantil: contribuições da literatura infantil e dos jogos dramáticos e teatrais

Pós-graduação em Educação - FFC

Progettazione sensibile al contesto dell'adeguamento dell'asse viario esistente nel parco naturale dell'isola dell'Asinara(SS)

lo scopo della presente tesi di laurea è stato quello di redigere un progetto per l’adeguamento funzionale della strada ubicata nel Parco Nazionale dell’ Asinara, tenendo quindi in particolare considerazione le caratteristiche ambientali del territorio, ma garantendo, allo stesso tempo, caratteristiche prestazionali migliorative e una maggiore sicurezza per il traffico veicolare.

Estimating greenhouse gas emissions of highway construction and rehabilitation to support pavement life cycle assessment

Highway infrastructure plays a significant role in society. The building and upkeep of America’s highways provide society the necessary means of transportation for goods and services needed to develop as a nation. However, as a result of economic and social development, vast amounts of greenhouse gas emissions (GHG) are emitted into the atmosphere contributing to global climate change. In recognizing this, future policies may mandate the monitoring of GHG emissions from public agencies and private industries in order to reduce the effects of global climate change. To effectively reduce these emissions, there must be methods that agencies can use to quantify the GHG emissions associated with constructing and maintaining the nation’s highway infrastructure. Current methods for assessing the impacts of highway infrastructure include methodologies that look at the economic impacts (costs) of constructing and maintaining highway infrastructure over its life cycle. This is known as Life Cycle Cost Analysis (LCCA). With the recognition of global climate change, transportation agencies and contractors are also investigating the environmental impacts that are associated with highway infrastructure construction and rehabilitation. A common tool in doing so is the use of Life Cycle Assessment (LCA). Traditionally, LCA is used to assess the environmental impacts of products or processes. LCA is an emerging concept in highway infrastructure assessment and is now being implemented and applied to transportation systems. This research focuses on life cycle GHG emissions associated with the construction and rehabilitation of highway infrastructure using a LCA approach. Life cycle phases of the highway section include; the material acquisition and extraction, construction and rehabilitation, and service phases. Departing from traditional approaches that tend to use LCA as a way to compare alternative pavement materials or designs based on estimated inventories, this research proposes a shift to a context sensitive process-based approach that uses actual observed construction and performance data to calculate greenhouse gas emissions associated with highway construction and rehabilitation. The goal is to support strategies that reduce long-term environmental impacts. Ultimately, this thesis outlines techniques that can be used to assess GHG emissions associated with construction and rehabilitation operations to support the overall pavement LCA.

An analysis of variance type method to describe and compare steady states in clinical data

Identifying and comparing different steady states is an important task for clinical decision making. Data from unequal sources, comprising diverse patient status information, have to be interpreted. In order to compare results an expressive representation is the key. In this contribution we suggest a criterion to calculate a context-sensitive value based on variance analysis and discuss its advantages and limitations referring to a clinical data example obtained during anesthesia. Different drug plasma target levels of the anesthetic propofol were preset to reach and maintain clinically desirable steady state conditions with target controlled infusion (TCI). At the same time systolic blood pressure was monitored, depth of anesthesia was recorded using the bispectral index (BIS) and propofol plasma concentrations were determined in venous blood samples. The presented analysis of variance (ANOVA) is used to quantify how accurately steady states can be monitored and compared using the three methods of measurement.

Molecular basis for class V beta-tubulin effects on microtubule assembly and paclitaxel resistance.

Vertebrates produce at least seven distinct beta-tubulin isotypes that coassemble into all cellular microtubules. The functional differences among these tubulin isoforms are largely unknown, but recent studies indicate that tubulin composition can affect microtubule properties and cellular microtubule-dependent behavior. One of the isotypes whose incorporation causes the largest change in microtubule assembly is beta5-tubulin. Overexpression of this isotype can almost completely destroy the microtubule network, yet it appears to be required in smaller amounts for normal mitotic progression. Moderate levels of overexpression can also confer paclitaxel resistance. Experiments using chimeric constructs and site-directed mutagenesis now indicate that the hypervariable C-terminal region of beta5 plays no role in these phenotypes. Instead, we demonstrate that two residues found in beta5 (Ser-239 and Ser-365) are each sufficient to inhibit microtubule assembly and confer paclitaxel resistance when introduced into beta1-tubulin; yet the single mutation of residue Ser-239 in beta5 eliminates its ability to confer these phenotypes. Despite the high degree of conservation among beta-tubulin isotypes, mutations affecting residue 365 demonstrate that amino acid substitutions can be context sensitive; i.e. an amino acid change in one isotype will not necessarily produce the same phenotype when introduced into a different isotype. Modeling studies indicate that residue Cys-239 of beta1-tubulin is close to a highly conserved Cys-354 residue suggesting the possibility that disulfide formation could play a significant role in the stability of microtubules formed with beta1- but not with beta5-tubulin.

Re-thinking resuscitation: leaving blood pressure cosmetics behind and moving forward to permissive hypotension and a tissue perfusion-based approach

Definitions of shock and resuscitation endpoints traditionally focus on blood pressures and cardiac output. This carries a high risk of overemphasizing systemic hemodynamics at the cost of tissue perfusion. In line with novel shock definitions and evidence of the lack of a correlation between macro- and microcirculation in shock, we recommend that macrocirculatory resuscitation endpoints, particularly arterial and central venous pressure as well as cardiac output, be reconsidered. In this viewpoint article, we propose a three-step approach of resuscitation endpoints in shock of all origins. This approach targets only a minimum individual and context-sensitive mean arterial blood pressure (for example, 45 to 50 mm Hg) to preserve heart and brain perfusion. Further resuscitation is exclusively guided by endpoints of tissue perfusion irrespectively of the presence of arterial hypotension ('permissive hypotension'). Finally, optimization of individual tissue (for example, renal) perfusion is targeted. Prospective clinical studies are necessary to confirm the postulated benefits of targeting these resuscitation endpoints.