Non-invasive ventilation for cystic fibrosis.

Non-invasive ventilation may be a means to temporarily reverse or slow the progression of respiratory failure in cystic fibrosis. To compare the effect of non-invasive ventilation versus no non-invasive ventilation in people with cystic fibrosis. We searched the Cochrane Cystic Fibrosis and Genetic Disorders Group Trials Register comprising references identified from comprehensive electronic database searches, handsearching relevant journals and abstract books of conference proceedings. We searched the reference lists of each trial for additional publications possibly containing other trials.Most recent search: 22 February 2013. Randomised controlled trials comparing a form of pressure preset or volume preset non-invasive ventilation to no non-invasive ventilation in people with acute or chronic respiratory failure in cystic fibrosis. Three reviewers independently assessed trials for inclusion criteria and methodological quality, and extracted data. Fifteen trials were identified; seven trials met the inclusion criteria with a total of 106 participants. Six trials evaluated single treatment sessions and one evaluated a six-week intervention.Four trials (79 participants) evaluated non-invasive ventilation for airway clearance compared with an alternative chest physiotherapy method and showed that airway clearance may be easier with non-invasive ventilation and people with cystic fibrosis may prefer it. We were unable to find any evidence that NIV increases sputum expectoration, but it did improve some lung function parameters.Three trials (27 participants) evaluated non-invasive ventilation for overnight ventilatory support, measuring lung function, validated quality of life scores and nocturnal transcutaneous carbon dioxide. Due to the small numbers of participants and statistical issues, there were discrepancies in the results between the RevMan and the original trial analyses. No clear differences were found between non-invasive ventilation compared with oxygen or room air except for exercise performance, which significantly improved with non-invasive ventilation compared to room air over six weeks. Non-invasive ventilation may be a useful adjunct to other airway clearance techniques, particularly in people with cystic fibrosis who have difficulty expectorating sputum. Non-invasive ventilation, used in addition to oxygen, may improve gas exchange during sleep to a greater extent than oxygen therapy alone in moderate to severe disease. These benefits of non-invasive ventilation have largely been demonstrated in single treatment sessions with small numbers of participants. The impact of this therapy on pulmonary exacerbations and disease progression remain unclear. There is a need for long-term randomised controlled trials which are adequately powered to determine the clinical effects of non-invasive ventilation in cystic fibrosis airway clearance and exercise.

Enhanced ethernet switching technology for adaptive hard real-time applications: Tecnologia de comutação ethernet melhorada para aplicações adaptativas e críticas de tempo-real

Os Sistemas Embarcados Distribuídos (SEDs) estão, hoje em dia, muito difundidos em vastas áreas, desde a automação industrial, a automóveis, aviões, até à distribuição de energia e protecção do meio ambiente. Estes sistemas são, essencialmente, caracterizados pela integração distribuída de aplicações embarcadas, autónomas mas cooperantes, explorando potenciais vantagens em termos de modularidade, facilidade de manutenção, custos de instalação, tolerância a falhas, entre outros. Contudo, o ambiente operacional onde se inserem estes tipos de sistemas pode impor restrições temporais rigorosas, exigindo que o sistema de comunicação subjacente consiga transmitir mensagens com garantias temporais. Contudo, os SEDs apresentam uma crescente complexidade, uma vez que integram subsistemas cada vez mais heterogéneos, quer ao nível do tráfego gerado, quer dos seus requisitos temporais. Em particular, estes subsistemas operam de forma esporádica, isto é, suportam mudanças operacionais de acordo com estímulos exteriores. Estes subsistemas também se reconfiguram dinamicamente de acordo com a actualização dos seus requisitos e, ainda, têm lidar com um número variável de solicitações de outros subsistemas. Assim sendo, o nível de utilização de recursos pode variar e, desta forma, as políticas de alocação estática tornam-se muito ineficientes. Consequentemente, é necessário um sistema de comunicação capaz de suportar com eficácia reconfigurações e adaptações dinâmicas. A tecnologia Ethernet comutada tem vindo a emergir como uma solução sólida para fornecer comunicações de tempo-real no âmbito dos SEDs, como comprovado pelo número de protocolos de tempo-real que foram desenvolvidos na última década. No entanto, nenhum dos protocolos existentes reúne as características necessárias para fornecer uma eficiente utilização da largura de banda e, simultaneamente, para respeitar os requisitos impostos pelos SEDs. Nomeadamente, a capacidade para controlar e policiar tráfego de forma robusta, conjugada com suporte à reconfiguração e adaptação dinâmica, não comprometendo as garantias de tempo-real. Esta dissertação defende a tese de que, pelo melhoramento dos comutadores Ethernet para disponibilizarem mecanismos de reconfiguração e isolamento de tráfego, é possível suportar aplicações de tempo-real críticas, que são adaptáveis ao ambiente onde estão inseridas.Em particular, é mostrado que as técnicas de projecto, baseadas em componentes e apoiadas no escalonamento hierárquico de servidores de tráfego, podem ser integradas nos comutadores Ethernet para alcançar as propriedades desejadas. Como suporte, é fornecida, também, uma solução para instanciar uma hierarquia reconfigurável de servidores de tráfego dentro do comutador, bem como a análise adequada ao modelo de escalonamento. Esta última fornece um limite superior para o tempo de resposta que os pacotes podem sofrer dentro dos servidores de tráfego, com base unicamente no conhecimento de um dado servidor e na hierarquia actual, isto é, sem o conhecimento das especifidades do tráfego dentro dos outros servidores. Finalmente, no âmbito do projecto HaRTES foi construído um protótipo do comutador Ethernet, o qual é baseado no paradigma “Flexible Time-Triggered”, que permite uma junção flexível de uma fase síncrona para o tráfego controlado pelo comutador e uma fase assíncrona que implementa a estrutura hierárquica de servidores referidos anteriormente. Além disso, as várias experiências práticas realizadas permitiram validar as propriedades desejadas e, consequentemente, a tese que fundamenta esta dissertação.

An Evaluation of Complex Adaptive Evolvable System Simulation

Thesis (Master's)--University of Washington, 2016-03

Adaptive learning in agents behaviour: a framework for electricity markets simulation

Electricity markets are complex environments with very particular characteristics. A critical issue regarding these specific characteristics concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, which was performed so that the competitiveness could be increased, but it also had exponential implications in the increase of the complexity and unpredictability in those markets scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behaviour. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This dissertation presents ALBidS – Adaptive Learning strategic Bidding System, a multiagent system created to provide decision support to market negotiating players. This system is integrated with the MASCEM electricity market simulator, so that its advantage in supporting a market player can be tested using cases based on real markets’ data. ALBidS considers several different methodologies based on very distinct approaches, to provide alternative suggestions of which are the best actions for the supported player to perform. The approach chosen as the players’ actual action is selected by the employment of reinforcement learning algorithms, which for each different situation, simulation circumstances and context, decides which proposed action is the one with higher possibility of achieving the most success. Some of the considered approaches are supported by a mechanism that creates profiles of competitor players. These profiles are built accordingly to their observed past actions and reactions when faced with specific situations, such as success and failure. The system’s context awareness and simulation circumstances analysis, both in terms of results performance and execution time adaptation, are complementary mechanisms, which endow ALBidS with further adaptation and learning capabilities.

Service offloading in adaptive real-time systems

Smartphones and other internet enabled devices are now common on our everyday life, thus unsurprisingly a current trend is to adapt desktop PC applications to execute on them. However, since most of these applications have quality of service (QoS) requirements, their execution on resource-constrained mobile devices presents several challenges. One solution to support more stringent applications is to offload some of the applications’ services to surrogate devices nearby. Therefore, in this paper, we propose an adaptable offloading mechanism which takes into account the QoS requirements of the application being executed (particularly its real-time requirements), whilst allowing offloading services to several surrogate nodes. We also present how the proposed computing model can be implemented in an Android environment

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

A Communication and Resources Management Scheme to Support the Smart Grid Integration of Multiplayers Access to Resources Information

The increasing and intensive integration of distributed energy resources into distribution systems requires adequate methodologies to ensure a secure operation according to the smart grid paradigm. In this context, SCADA (Supervisory Control and Data Acquisition) systems are an essential infrastructure. This paper presents a conceptual design of a communication and resources management scheme based on an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). The methodology is used to support the energy resource management considering all the involved costs, power flows, and electricity prices leading to the network reconfiguration. The methodology also addresses the definition of the information access permissions of each player to each resource. The paper includes a 33-bus network used in a case study that considers an intensive use of distributed energy resources in five distinct implemented operation contexts.

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Physiological reactivity and the perception of emotional stimuli as they relate to social adaptive functioning after traumatic brain injury / y Melonie Jane Hopkins.

Traumatic brain injury (TBI) often affects social adaptive functioning and these changes in social adaptability are usually associated with general damage to the frontal cortex. Recent evidence suggests that certain neurons within the orbitofrontal cortex appear to be specialized for the processing of faces and facial expressions. The orbitofrontal cortex also appears to be involved in self-initiated somatic activation to emotionally-charged stimuli. According to Somatic Marker Theory (Damasio, 1994), the reduced physiological activation fails to provide an individual with appropriate somatic cues to personally-relevant stimuli and this, in turn, may result in maladaptive behaviour. Given the susceptibility of the orbitofrontal cortex in TBI, it was hypothesized that impaired perception and reactivity to socially-relevant information might be responsible for some of the social difficulties encountered after TBL Fifteen persons who sustained a moderate to severe brain injury were compared to age and education matched Control participants. In the first study, both groups were presented with photographs of models displaying the major emotions and either asked to identify the emotions or simply view the faces passively. In a second study, participants were asked to select cards from decks that varied in terms of how much money could be won or lost. Those decks with higher losses were considered to be high-risk decks. Electrodermal activity was measured concurrently in both situations. Relative to Controls, TBI participants were found to have difficulty identifying expressions of surprise, sadness, anger, and fear. TBI persons were also found to be under-reactive, as measured by electrodermal activity, while passively viewing slides of negative expressions. No group difference,in reactivity to high-risk card decks was observed. The ability to identify emotions in the face and electrodermal reactivity to faces and to high-risk decks in the card game were examined in relationship to social monitoring and empathy as described by family members or friends on the Brock Adaptive Functioning Questionnaire (BAFQ). Difficulties identifying negative expressions (i.e., sadness, anger, fear, and disgust) predicted problems in monitoring social situations. As well, a modest relationship was observed between hypo-arousal to negative faces and problems with social monitoring. Finally, hypo-arousal in the anticipation of risk during the card game related to problems in empathy. In summary, these data are consistent with the view that alterations in the ability to perceive emotional expressions in the face and the disruption in arousal to personally-relevant information may be accounting for some of the difficulties in social adaptation often observed in persons who have sustained a TBI. Furthermore, these data provide modest support for Damasio's Somatic Marker Theory in that physiological reactivity to socially-relevant information has some value in predicting social function. Therefore, the assessment of TBI persons, particularly those with adaptive behavioural problems, should be expanded to determine whether alterations in perception and reactivity to socially-relevant stimuli have occurred. When this is the case, rehabilitative strategies aimed more specifically at these difficulties should be considered.

Étude multicentrique sur les stratégies de ventilation mécanique employées chez les enfants avec un œdème pulmonaire lésionnel

Des études adultes sur l’œdème pulmonaire lésionnel et le Syndrome de Détresse Respiratoire Aiguë ont mené à l’établissement de recommandations sur les stratégies de ventilation mécanique à employer chez ces patients. Cependant, il n’est pas clair si les recommandations adultes sont également bénéfiques pour l’enfant. Objectif Décrire les stratégies de ventilation mécanique employées chez les enfants atteints d’un œdème pulmonaire lésionnel. Méthodes Étude épidémiologique transversale tenue dans 59 unités de Soins Intensifs Pédiatriques de 12 pays en Amérique du Nord et en Europe. Six jours d’étude ont eu lieu entre juin et novembre 2007. Les enfants atteints d’un œdème pulmonaire lésionnel étaient inclus et des données sur la sévérité de leur maladie, les paramètres de ventilation mécanique et les thérapies adjuvantes employées ont été recueillies. Résultats Des 3823 enfants dépistés, 414 (10.8%) avaient un œdème pulmonaire lésionnel et 165 (40%) ont été inclus dans l’étude (124 étaient sous ventilation mécanique conventionnelle, 27 sous ventilation à haute fréquence par oscillation et 14 sous ventilation non invasive). Dans le groupe sous ventilation conventionnelle, 43.5% étaient ventilés avec un mode contrôlé à pression, le volume courant moyen était de 8.3±3.3 ml/kg et l’utilisation de la PEP et FiO2 était hétérogène. Conclusions Cette étude démontre une hétérogénéité dans les stratégies de ventilation mécanique employées chez les enfants souffrant d’un œdème pulmonaire lésionnel. Celle-ci pourrait être en partie reliée à la robustesse des critères diagnostiques actuellement utilisés pour définir l’ALI/SDRA. Une évaluation rigoureuse de ces stratégies est nécessaire pour guider la standardisation des soins et optimiser l’issue de ces patients.

Facteurs de risque de ventilation mécanique prolongée aux soins intensifs pédiatriques : étude épidémiologique descriptive

Rationnelle. La ventilation mécanique invasive (VI) s’accompagne lorsqu’elle se prolonge, d’une augmentation de la morbimortalité. Jusqu’à 64% des enfants hospitalisés aux soins intensifs sont ventilés et peu de données épidémiologiques existent afin d’estimer précocement la durée du support ventilatoire. Objectifs. Déterminer l’incidence et les facteurs de risque précoces de ventilation mécanique invasive prolongée aux soins intensifs pédiatriques. Méthode. Nous avons conduit une étude descriptive rétroélective sur un an. Tous les épisodes de VI aux soins intensifs du Centre hospitalier universitaire Sainte Justine de Montréal ont été inclus. Les facteurs de risque de VI prolongée (≥ 96 heures) ont été déterminés par régression logistique. Résultats. Parmi les 360 épisodes de VI, 36% ont duré ≥ 96 heures. Les facteurs de risques de ventilation prolongée en analyse multivariée sont : âge <12 mois, score de PRISM ≥ 15 à l’admission, pression moyenne dans les voies aériennes ≥13 cm H2O au jour 1 de ventilation, utilisation de la sédation intraveineuse continue au jour 1 de ventilation et ventilation non invasive avant intubation. Conclusion. La VI prolongée survient chez environ un tiers des patients ventilés. Les patients de moins de 12 mois semblent être plus à risque que les enfants plus âgés et devraient bénéficier de stratégies différentes pour diminuer leur durée de ventilation mécanique. La sévérité de la maladie, l’agressivité du support ventilatoire, l’utilisation d’une sédation continue au premier jour de ventilation sont également des facteurs à considérer dans les études visant à diminuer la durée de support ventilatoire.

Interaction entre ventilation mécanique et traumatisme à la moelle épinière : réponses inflammatoires pulmonaires et médullaires

Le traumatisme de la moelle épinière est à l’origine d’une inflammation locale importante caractérisée par l’augmentation massive des cellules inflammatoires et la présence de réactions oxydatives. Cette inflammation locale peut déclencher une réponse inflammatoire systémique par voie hématogène. Au niveau cervical, les lésions médullaires peuvent entraîner des faiblesses ou la paralysie des muscles respiratoires. Le patient, qui ne peut plus respirer de façon autonome, doit avoir recours à un support respiratoire. Bien que la ventilation mécanique soit la thérapie traditionnellement appliquée aux blessés médullaires souffrant d’insuffisance respiratoire, les études ont démontré qu’elle pouvait contribuer à promouvoir une réponse inflammatoire ainsi que des dommages pulmonaires. L’interaction entre le traumatisme médullaire et la ventilation mécanique, indispensable au maintien de l’équilibre des échanges respiratoires, est inconnue à ce jour. En voulant protéger les tissus, cellules et organes, l’organisme met en œuvre toute une panoplie de réponses inflammatoires à différents endroits. Nous pensons que ces réponses peuvent être altérées via l’interaction entre ce traumatisme et cette ventilation mécanique, sous l’influence de la principale source cellulaire de cytokines pour la défense de l’hôte, le macrophage, récemment classé en deux phénotypes principaux: 1) l’activation classique de type M1 et 2) l’activation alternative de type M2. Le phénotype M1 est conduit par le facteur GM-CSF et induit par l’interféron IFN-ɣ ainsi que le lipopolysaccharide. Le phénotype M2 quant à lui, est conduit par le facteur M-CSF et induit par les interleukines IL-4, IL-13 ou IL-21. M1 relâche principalement IL-1β, IL-6, TNF-α et MIP-1α tandis que M2 principalement IL-10 et MCP-1. Toutefois, nous ignorons actuellement par quel type d’activation se manifestera cette réponse immunitaire et si l’application de support respiratoire pourrait entraîner un risque inflammatoire additionnel au site du traumatisme. Nous ignorons également si la ventilation mécanique affecterait, à distance, les tissus de la moelle épinière via une inflammation systémique et amplifierait alors le dommage initial. Il n’existe pas à ce jour, de thérapie qui ait montré d’effet bénéfique réel envers une récupération fonctionnelle des patients blessés médullaires. Il paraît donc essentiel de déterminer si la ventilation mécanique peut moduler l’inflammation post-traumatique à la fois au niveau pulmonaire et au site de la lésion. Ce travail visait à caractériser les liens entre l’inflammation issue du traumatisme médullaire et celle issue de la ventilation, dans le but de fournir une meilleure compréhension des mécanismes inflammatoires activés dans ce contexte. L’étude a été menée sur un modèle animal. Elle consistait à évaluer : 1) si le traumatisme médullaire influençait les réponses inflammatoires pulmonaires induites par la ventilation mécanique, y compris le phénotype des macrophages alvéolaires et 2) si la ventilation pouvait altérer à distance, les tissus de la moelle épinière. L’impact de la blessure médullaire sur l’inflammation pulmonaire et locale, induite par la ventilation fut interprété grâce à l’analyse des cellules inflammatoires dans les lavages broncho-alvéolaires et dans les tissus prélevés à l’endroit de la blessure après 24 heures. Ces analyses ont démontré un profil spécifique des cytokines pulmonaires et médullaires. Elles ont révélé que la ventilation mécanique a engendré un environnement pro-inflammatoire en faveur d’un phénotype M1 chez les animaux ayant bénéficié de la thérapie respiratoire. Inversement, l’atteinte thoracique chez les animaux sans ventilation, a montré qu’une réponse immunitaire avait été activée en faveur d’un environnement anti-inflammatoire de phénotype M2. La lésion cervicale quant à elle a induit un profil de cytokines différent et les réponses au stress oxydatif dans le poumon induites par la ventilation ont été réduites significativement. De plus, une lésion médullaire a augmenté l’expression d’IL-6 et la ventilation a diminué l’IL-1β et augmenté le TNF-α dans les tissus de la moelle. Finalement, ces données ont fourni les premières évidences que la ventilation a induit d’avantage à un phénotype pulmonaire M1 et que le traumatisme médullaire a impacté spécifiquement les réponses inflammatoires et oxydatives dans le poumon. La ventilation a contribué non seulement à distance à une inflammation des tissus médullaires lésés mais aussi des tissus sains.

Climate-Adaptive Community Water Management for Food Security: Experiences from the UNDP Community Water Initiative

Facing the double menace of climate change threats and water crisis, poor communities have now encountered ever more severe challenges in ensuring agricultural productivity and food security. Communities hence have to manage these challenges by adopting a comprehensive approach that not only enhances water resource management, but also adapts agricultural activities to climate variability. Implemented by the Global Environment Facility’s Small Grants Programme, the Community Water Initiative (CWI) has adopted a distinctive approach to support demand-driven, innovative, low cost and community-based water resource management for food security. Experiences from CWI showed that a comprehensive, locally adapted approach that integrates water resources management, poverty reduction, climate adaptation and community empowerment provides a good model for sustainable development in poor rural areas.

Adaptive integral assessment package for the A2UN@ project

This paper presents a first approach of Evaluation Engine Architecture (EEA) as proposal to support adaptive integral assessment, in the context of a virtual learning environment. The goal of our research is design an evaluation engine tool to assist in the whole assessment process within the A2UN@ project, linking that tool with the other key elements of a learning design (learning task, learning resources and learning support). The teachers would define the relation between knowledge, competencies, activities, resources and type of assessment. Providing this relation is possible obtain more accurate estimations of student's knowledge for adaptive evaluations and future recommendations. The process is supported by usage of educational standards and specifications and for an integral user modelling

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasingly popular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigational adaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student