948 research outputs found

    Razvoj programske podrške zasnovane na modelu za simulacije diskretnih sustava — koncepti i primjeri

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    Model-driven software development (MDSD) is a current direction in software engineering that underlines the importance of models in contrast to program code. Since models have always been of central importance in simulation, some aspects of MDSD are especially helpful to support discrete event simulation (DES) studies. In this paper a case study concerning the development of an MDSD-compliant domain architecture for DES is presented. This includes code generation facilities for the object oriented simulation framework DESMO-J based on a new UML profile for DES and using techniques and tools from MDSD. On the basis of these experiences a discussion about general prospects and drawbacks of applying MDSD to the development of simulation models as well as interactive simulation tools is lead. A modeling cycle for building simulation studies that makes the use of model-driven techniques possible is proposed.Razvoj programske podrške zasnovane na modelu (MDSD) postaje prevladavajuća paradigma u programskom inženjerstvu. Kako su modeli uvijek imali središnju ulogu u simulacijama, neki su aspekti na modelu zasnovanog razvoja programske podrške od posebno velike pomoći pri simulacijama diskretnih sustava (DES). U ovome se radu opisuje primjer razvoja arhitekture za DES po MDSD konceptu. To uključuje generiranje koda za objektno orijentirani simulacijski okvir DESMO-J zasnovan na novom UML profilu za DES te korištenje tehnika i alata za MDSD. Na osnovi primjera, razmatrani su opće prednosti i nedostaci primjene MDSD za razvoj simulacijskih modela i interaktivnih simulacijskih alata. Predložen je modelski ciklus za simulacijske studije koji omogućuje primjenu navedenih na modelu zasnovanih tehnika

    Cormas, une plate-forme multi-agent pour concevoir collectivement des modèles et interagir avec les simulations

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    International audienceCe document présente les nouvelles fonctionnalités de Cormas, une plate-forme de modélisation multi-agent dédiée à la gestion des ressources renouvelables. Logiciel libre, Cormas vise à concevoir facilement un SMA et analyser des scénarios. Aujourd'hui, Cormas a pris une direction novatrice orientée vers la conception collective de modèles et la simulation interactive. Ces simulations hybrides mixent des décisions prises par les joueurs et d'autres par le modèle. Cela permet d'interagir avec une simulation en modifiant le comportement des agents et la façon dont ils utilisent les ressources. Ainsi, il est possible d'explorer collectivement des scénarios à moyen et long terme afin de mieux comprendre comment atteindre une situation souhaitée. En retour, cela permet de réviser collectivement le modèle conceptuel. Après avoir expliqué la philosophie de la modélisation d'accompagnement, ce document présente la façon dont les fonctionnalités de Cormas sont appliquées à travers trois expériences. Abstract This paper presents the new functionalities of Cormas, a multi-agent modeling platform dedicated to the management of renewable resources. As free software, Cormas is intended to facilitate the design of ABM as well as the monitoring and analysis of simulation scenarios. Today Cormas has taken an innovative direction oriented towards the collective design of models and interactive simulation. These hybrid simulations are mixing decisions taken by stakeholders and others by the model. This allows the user to interact with a simulation by changing the behavior of agents. Thus, it is possible to collectively explore medium and long-term scenarios to better understand how a desired situation may be reached. In turn, this feed back into the collective design of the model. After having explained the philosophy of the companion modeling, this paper presents how the Cormas functionalities are put into practice through three experiments with stakeholders facing actual environmental challenges

    Replicating viral vector platform exploits alarmin signals for potent CD8+ T cell-mediated tumour immunotherapy

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    Viral infections lead to alarmin release and elicit potent cytotoxic effector T lymphocyte (CTLeff) responses. Conversely, the induction of protective tumour-specific CTLeff and their recruitment into the tumour remain challenging tasks. Here we show that lymphocytic choriomeningitis virus (LCMV) can be engineered to serve as a replication competent, stably-attenuated immunotherapy vector (artLCMV). artLCMV delivers tumour-associated antigens to dendritic cells for efficient CTL priming. Unlike replication-deficient vectors, artLCMV targets also lymphoid tissue stroma cells expressing the alarmin interleukin-33. By triggering interleukin-33 signals, artLCMV elicits CTLeff responses of higher magnitude and functionality than those induced by replication-deficient vectors. Superior anti-tumour efficacy of artLCMV immunotherapy depends on interleukin-33 signalling, and a massive CTLeff influx triggers an inflammatory conversion of the tumour microenvironment. Our observations suggest that replicating viral delivery systems can release alarmins for improved anti-tumour efficacy. These mechanistic insights may outweigh safety concerns around replicating viral vectors in cancer immunotherapy

    Understanding the quality of life of family carers of people with dementia: development of a new conceptual framework

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    Background Dementia is a major global health and social care challenge, and family carers are a vital determinant of positive outcomes for people with dementia. This study's aim was to develop a conceptual framework for the Quality of Life (QOL) of family carers of people with dementia. Methods We studied family carers of people with dementia and staff working in dementia services iteratively using in‐depth individual qualitative interviews and focus groups discussions. Analysis used constant comparison techniques underpinned by a collaborative approach with a study‐specific advisory group of family carers. Results We completed 41 individual interviews with 32 family carers and nine staff and two focus groups with six family carers and five staff. From the analysis, we identified 12 themes that influenced carer QOL. These were organised into three categories focussing on person with dementia, carer, and external environment. Conclusions For carers of people with dementia, the QOL construct was found to include condition‐specific domains which are not routinely considered in generic assessment of QOL. This has implications for researchers, policy makers, and service providers in addressing and measuring QOL in family carers of people with dementia
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