904 resultados para Process-dissociation Framework
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The establishment of support platforms for the development of a new culture in design education, in order to achieve both research exploitation and its results, as an approach to the industrial community, challenges higher education institutions to rethink their functioning, divided between investigation on their own initiative or on demand, and its usefulness / practical application. At the same time, through design education, how can they be the engine that aggregates all these frequently antagonistic interests? Polytechnic institutes are predisposed to collaboration and interdisciplinarity. In our course of Technology and Design of Furniture, the availability of a production unit, testing laboratories, and expertise in engineering, design and marketing, encourage the development of a holistic project. In order to develop such knowledge, we adapt three important ways of thinking in designing interactions influenced by the traditional approach, namely, 1) identifying and understanding a design problem, i.e. a market need, 2) defining the design process and knowing what can be used for design education, i.e. opportunities for design education, and 3) sustainability of this framework and design projects' alignment with education in the same field. We explain our approach by arguing from the academicenterprise experiences perspective. This concept is proposed as a way to achieve those three ways of thinking in design education. Then, a set of interaction attributes is defined to explain how engineering and product design education can enhance meaningful relations with manufacturers, stakeholders and society in general. A final discussion is presented with the implications and benefits of this approach. The results suggest that through academic-enterprise partnerships in design, several goals such as students' motivation, product design innovation and potential for knowledge transfer to industries can be achieved.
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User Quality of Experience (QoE) is a subjective entity and difficult to measure. One important aspect of it, User Experience (UX), corresponds to the sensory and emotional state of a user. For a user interacting through a User Interface (UI), precise information on how they are using the UI can contribute to understanding their UX, and thereby understanding their QoE. As well as a user’s use of the UI such as clicking, scrolling, touching, or selecting, other real-time digital information about the user such as from smart phone sensors (e.g. accelerometer, light level) and physiological sensors (e.g. heart rate, ECG, EEG) could contribute to understanding UX. Baran is a framework that is designed to capture, record, manage and analyse the User Digital Imprint (UDI) which, is the data structure containing all user context information. Baran simplifies the process of collecting experimental information in Human and Computer Interaction (HCI) studies, by recording comprehensive real-time data for any UI experiment, and making the data available as a standard UDI data structure. This paper presents an overview of the Baran framework, and provides an example of its use to record user interaction and perform some basic analysis of the interaction.
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Es ist ein lang gehegter Traum in der Chemie, den Ablauf einer chemischen Reaktion zu kontrollieren und das Aufbrechen und Bilden chemischer Bindungen zu steuern. Diesem Ziel verschreibt sich auch das Forschungsgebiet der Femtochemie. Hier werden Femtosekunden Laserpulse eingesetzt um auf dem Quantenlevel molekulare Dynamiken auf ihren intrinsischen Zeitskalen zu kontrollieren und das System selektiv und effizient von einem Anfangs- in einen Zielzustand zu überführen. Der Wunsch, mit geformten Femtosekunden Laserpulsen Kontrolle über transiente Dynamiken und finale Populationen auszuüben, zu beobachten und zu verstehen, bildet auch die Motivation für diese Arbeit. Hierzu wurden mit Hilfe der Photoelektronenspektroskopie Untersuchungen zur Wechselwirkung atomarer und molekularer Prototypsysteme mit intensiven, geformten Femtosekunden Laserpulsen durchgeführt. Die Verwendung von Modelsystemen ermöglicht es, grundlegende Mechanismen der kohärenten Kontrolle in intensiven Laserfeldern zu analysieren, ohne dass sie durch komplexe Wechselwirkungen verschleiert werden. Zunächst wurde die Wechselwirkung von Kaliumatomen mit gechirpten Femtosekunden Laserpulsen untersucht. In den Experimenten wurden sowohl transiente Dynamiken als auch die Endbesetzungen der elektronischen Zustände abgebildet. In den folgenden Experimenten wurde das Quantenkontrollszenario SPODS auf die gekoppelte Elektronen-Kern-Dynamik in Molekülen übertragen. Die Kontrolle basiert auf der Erzeugung und Manipulation von Ladungsoszillationen durch Pulssequenzen. Der letzte Teil widmet sich der Entwicklung adiabatischer Kontrollmechanismen in Molekülen. Bei den Experimenten wurden gechirpte Airypulse eingesetzt um robuste Starkfeldanregung in molekularen Systemen zu induzieren. In Zukunft wird die Erforschung immer komplexerer Moleküle im Rahmen der transienten Kontrolle im Fokus stehen. Dabei werden nicht nur die effiziente Besetzung gebundener Zustände von Interesse sein, sondern auch die gezielte Dissoziation in spezifische Fragmente, photoinduzierte Isomerisierungsreaktionen oder die Kontrolle über transiente Dynamiken, die Einfluss auf andere molekulare Eigenschaften haben. Vor dem Hintergrund dieses übergeordneten Wunsches, photochemische Reaktionen immer komplexerer Moleküle, bis hin zu großen, biologisch relevanten Molekülen, zu kontrollieren, ist es umso wichtiger, die zugrundeliegenden Anregungsmechanismen in einfachen Systemen nachzuvollziehen. In den hier präsentierten Experimenten wurde gezeigt, wie die simultane Beobachtung der bekleideten und der stationären Zustände in atomaren Systemen zu einem umfassenden Bild der lichtinduzierte Dynamiken führen kann. Die gewonnenen Erkenntnisse können auf die Steuerung gekoppelter Dynamiken übertragen werden, durch die Kontrolle auch in molekularen Systemen möglich wird.
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Effective and efficient implementation of intelligent and/or recently emerged networked manufacturing systems require an enterprise level integration. The networked manufacturing offers several advantages in the current competitive atmosphere by way to reduce, by shortening manufacturing cycle time and maintaining the production flexibility thereby achieving several feasible process plans. The first step in this direction is to integrate manufacturing functions such as process planning and scheduling for multi-jobs in a network based manufacturing system. It is difficult to determine a proper plan that meets conflicting objectives simultaneously. This paper describes a mobile-agent based negotiation approach to integrate manufacturing functions in a distributed manner; and its fundamental framework and functions are presented. Moreover, ontology has been constructed by using the Protégé software which possesses the flexibility to convert knowledge into Extensible Markup Language (XML) schema of Web Ontology Language (OWL) documents. The generated XML schemas have been used to transfer information throughout the manufacturing network for the intelligent interoperable integration of product data models and manufacturing resources. To validate the feasibility of the proposed approach, an illustrative example along with varied production environments that includes production demand fluctuations is presented and compared the proposed approach performance and its effectiveness with evolutionary algorithm based Hybrid Dynamic-DNA (HD-DNA) algorithm. The results show that the proposed scheme is very effective and reasonably acceptable for integration of manufacturing functions.
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Objectives: There is a need for a more comprehensive understanding of how coaching processes psychologically operate. This paper presents the findings from a study aimed to characterise the coaching process experience and to identify how specific experiences contribute to coaching outcomes. Design: A qualitative design was adopted. Data was analysed by Interpretative Phenomenological Analysis (Smith, 2008). Method: Data was collected from 10 participants, this included coaches (N=4), coachees (N=5) and one commissioner, three times along the coaching process. A total of 30 interviews were undertaken. Findings: Coaching outcomes can be generated by three essential mechanisms: Projection of Future Self; Perspectivation of Present Self; and Confirmation of Past/Present Self. Each mechanism’s name represents a particular effect on coachee’s self and may evolve diverse coaching behaviours. Although they all can be actively managed to generate sustainability of outcomes, each mechanism tends to contribute differently to that sustainability. Conclusion: The study provides a comprehensive understanding of the different methodological and experiential ingredients of the coaching process and its implications. While most coaching research is focused on identifying coaching results based on a retrospective analysis, this is one of the first studies accompanying longitudinally the coaching process and capturing an integrative understanding of its dynamics. Moreover, the study provides evidence of how coaching can differently deliver sustainable outcomes and be used as a valuable developmental tool in organisations. The study contributes to our understanding of theory building and raises questions for further research on the uniqueness of coaching interventions.
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The interpretative framework presented here provides a rationale for many well-known features of cardiovascular diseases. Prolonged acidemia with high blood levels of free fatty acids is proposed to shape the basic context for formation of fatty acid micelles and vesicles with an acidic core that fuse with the endothelia, disrupt vital cell processes, and initiate atherosclerotic plaque formation. It offers an explanation for the distributed localization of atherosclerotic lesions, and how mild cases of occurrence of fatty acids vesicles formed within the heart and the arteries close to the heart may cause such lesions. It provides a rationale for how acute events, namely heart attacks and strokes, may arise from stormy development of fatty acid vesicles within the heart. Additionally, a process is proposed for clot development from the existing fatty acid vesicles.
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In Bosnia Herzegovina the development of clear policy objectives and endorsement of a long-term, coherent and mutual agricultural and rural development policy have also been affected by structural problems: a lack of reliable information on population and other relevant issues, the absence of an adequate land registry system and cadastre. Moreover in BiH the agricultural and rural sectors are characterized by many factors that have typically affected transition countries such as land fragmentation, lack of agricultural mechanization and outdated production technologies, and rural aging, high unemployment and out-migration. In such a framework the condition and role of women in rural areas suffered for the lack of gender disaggregated data and a consequent poor information that lead to the exclusion of gender related questions in the agenda of public institutions and to the absence of targeted policy interventions. The aim of the research is to investigate the role and condition of women in the rural development process of Republic of Srpska and to analyze the capacity of extension services to stimulate their empowerment. Specific research questions include the status of women in the rural areas of Republic of Srpska, the role of government in fostering the empowerment of rural women, and the role of the extension service in supporting rural women. The methodology - inspired by the case study method developed by R. Yin - is designed along the three specific research questions that are used as building blocks. Each of the three research questions is investigated with a combination of methodological tools - including surveys, experts interviews and focus groups - aimed to overcome the lack of data and knowledge that characterize the research objectives.
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Negli ultimi anni, i limiti sempre più stringenti sulle emissioni inquinanti dei gas di scarico, hanno portato ad un notevole aumento della complessità dei motori a combustione interna. Questa complicazione determina un aumento esponenziale del numero di test da effettuare nella sala prova. I metodi tipici di gestione dei test non possono più essere utilizzati, ma è essenziale creare un sistema che ottimizzi le prove. Per ridurre drasticamente il tempo di esecuzione, è necessario implementare un'architettura in grado di facilitare lo scambio di dati tra i sistemi presenti nella sala prova, e, in aggiunta, definire le strategie di automazione dei test. L'approccio a taluni metodi si presenta ancora complicato in molti gruppi di sviluppo di strategie di controllo motore, anche se, una volta sviluppati, portano e a grandi benefici durante la fase di test. Il lavoro illustra i metodi implementati per la gestione di queste strategie. Prima si descrive l'approccio utilizzato nella calibrazione di anticipo di accensione per mantenere livelli accettabili di detonazione durante il processo di calibrazione. Successivamente è mostrato il sistema di automazione dei test che consente il pieno controllo del punto di funzionamento del motore, la gestione dell'acquisizione e la verifica della stabilità delle condizioni ottenute. L'ultima parte mostra sistemi di prototipazione rapida per la gestione di componenti innovatici del motore.
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This research aims at contributing to a better understanding of changes in local governments’ accounting and reporting practices. Particularly, ‘why’, ‘what’ and ‘how’ environmental aspects are included and the significance of changes across time. It adopts an interpretative approach to conduct a longitudinal analysis of case studies. Pettigrew and Whipp’s framework on context, content and process is used as a lens to distinguish changes under each dimension and analyse their interconnections. Data is collected from official documents and triangulated with semi-structured interviews. The legal framework defines as boundaries of the accounting information the territory under local governments’ jurisdiction and their immediate surrounding area. Organisational environmental performance and externalities are excluded from the requirements. An interplay between the local outer context, political commitment and organisational culture justifies the implementation of changes beyond what is regulated and the implementation of transformational changes. Local governments engage in international networks to gain access to funding and implement changes, leading to adopting the dominant environmental agenda. Key stakeholders, like citizens, are not engaged in the accounting and reporting process. Thus, there is no evidence that the environmental aspects addressed and related changes align with stakeholders’ needs and expectations, which jeopardises its significance. Findings from the current research have implications in other EU member states due to the harmonisation of accounting and reporting practices and the common practice across the EU in using external funding to conceptualise and implement changes. This implies that other local governments could also be representing a limited account related to environmental aspects.
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Nowadays the development of new Internal Combustion Engines is mainly driven by the need to reduce tailpipe emissions of pollutants, Green-House Gases and avoid the fossil fuels wasting. The design of dimension and shape of the combustion chamber together with the implementation of different injection strategies e.g., injection timing, spray targeting, higher injection pressure, play a key role in the accomplishment of the aforementioned targets. As far as the match between the fuel injection and evaporation and the combustion chamber shape is concerned, the assessment of the interaction between the liquid fuel spray and the engine walls in gasoline direct injection engines is crucial. The use of numerical simulations is an acknowledged technique to support the study of new technological solutions such as the design of new gasoline blends and of tailored injection strategies to pursue the target mixture formation. The current simulation framework lacks a well-defined best practice for the liquid fuel spray interaction simulation, which is a complex multi-physics problem. This thesis deals with the development of robust methodologies to approach the numerical simulation of the liquid fuel spray interaction with walls and lubricants. The accomplishment of this task was divided into three tasks: i) setup and validation of spray-wall impingement three-dimensional CFD spray simulations; ii) development of a one-dimensional model describing the liquid fuel – lubricant oil interaction; iii) development of a machine learning based algorithm aimed to define which mixture of known pure components mimics the physical behaviour of the real gasoline for the simulation of the liquid fuel spray interaction.
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One of the main process features under study in Cognitive Translation & Interpreting Studies (CTIS) is the chronological unfolding of the tasks. The analyses of time spans in translation have been conceived in two ways: (1) studying those falling between text units of different sizes: words, phrases, sentences, and paragraphs; (2) setting arbitrary time span thresholds to explore where do they fall in the text, whether between text units or not. Writing disfluencies may lead to comprehensive insights into the cognitive activities involved in typing while translating. Indeed, long time spans are often taken as hints that cognitive resources have been subtracted from typing and devoted to other activities, such as planning, evaluating, etc. This exploratory, pilot study combined both approaches to seek potential general tendencies and contrasts in informants’ inferred mental processes when performing different writing tasks, through the analysis of their behaviors, as keylogged. The study tasks were retyping, monolingual free writing, translation, revision and a multimodal task—namely, monolingual text production based on an infographic leaflet. Task logs were chunked, and shorter time spans, including those within words, were analyzed following the Task Segment Framework (Muñoz & Apfelthaler, in press). Finally, time span analysis was combined with the analysis of the texts as to their lexical density, type-token ratio and word frequency. Several previous results were confirmed, and some others were surprising. Time spans in free writing were longer between paragraphs and sentences, possibly hinting at planning and, in translation, between clauses and words, suggesting more cognitive activities at these levels. On the other hand, the infographic was expected to facilitate the writing process, but most time spans were longer than in both free writing and translation. Results of the multimodal task and some other results suggest venues for further research.
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The scientific success of the LHC experiments at CERN highly depends on the availability of computing resources which efficiently store, process, and analyse the amount of data collected every year. This is ensured by the Worldwide LHC Computing Grid infrastructure that connect computing centres distributed all over the world with high performance network. LHC has an ambitious experimental program for the coming years, which includes large investments and improvements both for the hardware of the detectors and for the software and computing systems, in order to deal with the huge increase in the event rate expected from the High Luminosity LHC (HL-LHC) phase and consequently with the huge amount of data that will be produced. Since few years the role of Artificial Intelligence has become relevant in the High Energy Physics (HEP) world. Machine Learning (ML) and Deep Learning algorithms have been successfully used in many areas of HEP, like online and offline reconstruction programs, detector simulation, object reconstruction, identification, Monte Carlo generation, and surely they will be crucial in the HL-LHC phase. This thesis aims at contributing to a CMS R&D project, regarding a ML "as a Service" solution for HEP needs (MLaaS4HEP). It consists in a data-service able to perform an entire ML pipeline (in terms of reading data, processing data, training ML models, serving predictions) in a completely model-agnostic fashion, directly using ROOT files of arbitrary size from local or distributed data sources. This framework has been updated adding new features in the data preprocessing phase, allowing more flexibility to the user. Since the MLaaS4HEP framework is experiment agnostic, the ATLAS Higgs Boson ML challenge has been chosen as physics use case, with the aim to test MLaaS4HEP and the contribution done with this work.
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Resource specialisation, although a fundamental component of ecological theory, is employed in disparate ways. Most definitions derive from simple counts of resource species. We build on recent advances in ecophylogenetics and null model analysis to propose a concept of specialisation that comprises affinities among resources as well as their co-occurrence with consumers. In the distance-based specialisation index (DSI), specialisation is measured as relatedness (phylogenetic or otherwise) of resources, scaled by the null expectation of random use of locally available resources. Thus, specialists use significantly clustered sets of resources, whereas generalists use over-dispersed resources. Intermediate species are classed as indiscriminate consumers. The effectiveness of this approach was assessed with differentially restricted null models, applied to a data set of 168 herbivorous insect species and their hosts. Incorporation of plant relatedness and relative abundance greatly improved specialisation measures compared to taxon counts or simpler null models, which overestimate the fraction of specialists, a problem compounded by insufficient sampling effort. This framework disambiguates the concept of specialisation with an explicit measure applicable to any mode of affinity among resource classes, and is also linked to ecological and evolutionary processes. This will enable a more rigorous deployment of ecological specialisation in empirical and theoretical studies.
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Ecosystem engineering is increasingly recognized as a relevant ecological driver of diversity and community composition. Although engineering impacts on the biota can vary from negative to positive, and from trivial to enormous, patterns and causes of variation in the magnitude of engineering effects across ecosystems and engineer types remain largely unknown. To elucidate the above patterns, we conducted a meta-analysis of 122 studies which explored effects of animal ecosystem engineers on species richness of other organisms in the community. The analysis revealed that the overall effect of ecosystem engineers on diversity is positive and corresponds to a 25% increase in species richness, indicating that ecosystem engineering is a facilitative process globally. Engineering effects were stronger in the tropics than at higher latitudes, likely because new or modified habitats provided by engineers in the tropics may help minimize competition and predation pressures on resident species. Within aquatic environments, engineering impacts were stronger in marine ecosystems (rocky shores) than in streams. In terrestrial ecosystems, engineers displayed stronger positive effects in arid environments (e.g. deserts). Ecosystem engineers that create new habitats or microhabitats had stronger effects than those that modify habitats or cause bioturbation. Invertebrate engineers and those with lower engineering persistence (<1 year) affected species richness more than vertebrate engineers which persisted for >1 year. Invertebrate species richness was particularly responsive to engineering impacts. This study is the first attempt to build an integrative framework of engineering effects on species diversity; it highlights the importance of considering latitude, habitat, engineering functional group, taxon and persistence of their effects in future theoretical and empirical studies.
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Systemic lupus erythematosus is an autoimmune disease that causes many psychological repercussions that have been studied through qualitative research. These are considered relevant, since they reveal the amplitude experienced by patients. Given this importance, this study aims to map the qualitative production in this theme, derived from studies of experiences of adult patients of both genders and that had used as a tool a semi-structured interview and/or field observations, and had made use of a sampling by a saturation criterion to determine the number of participants in each study. The survey was conducted in Pubmed, Lilacs, Psycinfo e Cochrane databases, searching productions in English and Portuguese idioms published between January 2005 and June 2012. The 19 revised papers that have dealt with patients in the acute phase of the disease showed themes that were categorized into eight topics that contemplated the experienced process at various stages, from the onset of the disease, extending through the knowledge of the diagnosis and the understanding of the manifestations of the disease, drug treatment and general care, evolution and prognosis. The collected papers also point to the difficulty of understanding, of the patients, on what consists the remission phase, revealing also that this is a clinical stage underexplored by psychological studies.