Key issues in determining the ethics of research subject payment: the special case of drug abuse epidemiology

The authors identify key issues that researchers, funding bodies, ethics committees and ethicists might consider in contemplating research subject payment ethics. They argue that what is missing from the broader debate is due consideration of ethics committee decision processes; research subject reasons for participation; and current research practices. The authors explore these issues and how they relate to existing guidelines on voluntary consent, and arguments that have been proposed for and against research subject payments. (non- author abstract)

Os custos de desempenho ocultos no dia-a-dia de um restaurante

RESUMO: O desafio era mostrar aquilo que poucos vêem e ninguém mede, mas que pode ajudar a resolver muitos problemas no sector da restauração. Assim, o objectivo é identificar, analisar e mensurar os custos de desempenho ocultos no dia-a-dia de um restaurante. A síntese bibliográfica reflecte a pesquisa efectuada, visando um método que nos ajudasse a medir concretamente os disfuncionamentos que ocorrem nos desempenhos diários dos empregados de mesa de um restaurante. Descobrimos a abordagem socioeconómica de Henri Savall e o seu método de avaliação dos custos de desempenho ocultos. Explicitamos de seguida este método de Savall e apresentamos uma síntese da história do restaurante, com o intuito de mostrar que, desde o seu nascimento, o restaurante é muito mais do que um local onde vamos comer. Feito este caminho, apresentamos o restaurante de luxo que escolhemos e onde aplicámos o método de avaliação dos custos de desempenho ocultos com algumas alterações, pois originalmente este método foi desenvolvido e aplicado ao sector da Indústria. Terminamos com a explicação da forma como aplicámos o método e os respectivos resultados encontrados. Concluímos que a aplicação do método escolhido revela informações preciosas para a gestão e para a tomada de decisão e enfatiza a importância do trabalho efectuado pelos empregados de mesa no seu dia-a-dia. ABSTRACT: Our challenge was to show what few people see and nobody measures, but that can help to solve lots of problems in the restaurants line of business. Our objective is to identify, analyze and measure the performance hidden costs in the daily activity of a restaurant. The bibliography used reflects the researches made, searching for a method which would help us to measure in detail the dysfunctions which occur in the daily performance of the waiters in a restaurant. We discovered the socioeconomic approach of Henri Savall and its evaluation method of the performance hidden costs. Next, we explain Savall’s method and present a synthesis of the restaurant history with the aim to show that, since its birth, the restaurant is much more than the place where people go to eat. This path made, we present the luxury restaurant which was chosen and where we have applied the evaluation method of the performance hidden costs, with some minor changes, because originally this method was developed and applied in the Industry sector. We finalize this work with the explanation of the way how we applied the method and with the presentation of the results. We have concluded that the application of the chosen method of study reveals vital information for the management department and for the decision processes, and that it emphasizes the importance of the waiters in their daily work inside a restaurant.

Talk on water ecological economics and participatory watershed governance

Dissertação apresentada para obtenção do Grau de Doutor em Ambiente pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Decisions of technology innovation: the role of indicators

This work presents research conducted to understand the role of indicators in decisions of technology innovation. A gap was detected in the literature of innovation and technology assessment about the use and influence of indicators in this type of decision. It was important to address this gap because indicators are often frequent elements of innovation and technology assessment studies. The research was designed to determine the extent of the use and influence of indicators in decisions of technology innovation, to characterize the role of indicators in these decisions, and to understand how indicators are used in these decisions. The latter involved the test of four possible explanatory factors: the type and phase of decision, and the context and process of construction of evidence. Furthermore, it focused on three Portuguese innovation groups: public researchers, business R&D&I leaders and policymakers. The research used a combination of methods to collect quantitative and qualitative information, such as surveys, case studies and social network analysis. This research concluded that the use of indicators is different from their influence in decisions of technology innovation. In fact, there is a high use of indicators in these decisions, but lower and differentiated differences in their influence in each innovation group. This suggests that political-behavioural methods are also involved in the decisions to different degrees. The main social influences in the decisions came mostly from hierarchies, knowledge-based contacts and users. Furthermore, the research established that indicators played mostly symbolic roles in decisions of policymakers and business R&D&I leaders, although their role with researchers was more differentiated. Indicators were also described as helpful instruments to conduct a reasonable interpretation of data and to balance options in innovation and technology assessments studies, in particular when contextualised, described in detail and with discussion upon the options made. Results suggest that there are four main explanatory factors for the role of indicators in these decisions: First, the type of decision appears to be a factor to consider when explaining the role of indicators. In fact, each type of decision had different influences on the way indicators are used, and each type of decision used different types of indicators. Results for policy-making were particularly different from decisions of acquisition and development of products/technology. Second, the phase of the decision can help to understand the role indicators play in these decisions. Results distinguished between two phases detected in all decisions – before and after the decision – as well as two other phases that can be used to complement the decision process and where indicators can be involved. Third, the context of decision is an important factor to consider when explaining the way indicators are taken into consideration in policy decisions. In fact, the role of indicators can be influenced by the particular context of the decision maker, in which all types of evidence can be selected or downplayed. More importantly, the use of persuasive analytical evidence appears to be related with the dispute existent in the policy context. Fourth and last, the process of construction of evidence is a factor to consider when explaining the way indicators are involved in these decisions. In fact, indicators and other evidence were brought to the decision processes according to their availability and capacity to support the different arguments and interests of the actors and stakeholders. In one case, an indicator lost much persuasion strength with the controversies that it went through during the decision process. Therefore, it can be argued that the use of indicators is high but not very influential; their role is mostly symbolic to policymakers and business decisions, but varies among researchers. The role of indicators in these decisions depends on the type and phase of the decision and the context and process of construction of evidence. The latter two are related to the particular context of each decision maker, the existence of elements of dispute and controversies that influence the way indicators are introduced in the decision-making process.

A Real-Time intelligent system for tracking patient condition

Hospitals have multiple data sources, such as embedded systems, monitors and sensors. The number of data available is increasing and the information are used not only to care the patient but also to assist the decision processes. The introduction of intelligent environments in health care institutions has been adopted due their ability to provide useful information for health professionals, either in helping to identify prognosis or also to understand patient condition. Behind of this concept arises this Intelligent System to track patient condition (e.g. critic events) in health care. This system has the great advantage of being adaptable to the environment and user needs. The system is focused in identifying critic events from data streaming (e.g. vital signs and ventilation) which is particularly valuable for understanding the patient’s condition. This work aims to demonstrate the process of creating an intelligent system capable of operating in a real environment using streaming data provided by ventilators and vital signs monitors. Its development is important to the physician because becomes possible crossing multiple variables in real-time by analyzing if a value is critic or not and if their variation has or not clinical importance.

Organisational structure, communication and group ethics

This paper investigates experimentally how organisational decision processes affect the moral motivations of actors inside a firm that must forego profits to reduce harming a third party. In a "vertical" treatment, one insider unilaterally sets the harm-reduction strategy; the other can only accept or quit. In a "horizontal" treatment, the insiders decide by consensus. Our 2-by-2 design also controls for communication effects. In our data, communication makes vertical firms more ethical; voice appears to mitigate "responsibility-alleviation" in that subordinates with voice feel responsible for what their firms do. Vertical firms are then more ethical than the horizontal firms for which our bargaining data reveal a dynamic form of responsibility-alleviation and our chat data indicate a strong "insider-outsider" effect.

On Certain Greedoid Polyhedra, Partially Indexable Scheduling Problems, and Extended Restless Bandit Allocation Indices

We present a polyhedral framework for establishing general structural properties on optimal solutions of stochastic scheduling problems, where multiple job classes vie for service resources: the existence of an optimal priority policy in a given family, characterized by a greedoid (whose feasible class subsets may receive higher priority), where optimal priorities are determined by class-ranking indices, under restricted linear performance objectives (partial indexability). This framework extends that of Bertsimas and Niño-Mora (1996), which explained the optimality of priority-index policies under all linear objectives (general indexability). We show that, if performance measures satisfy partial conservation laws (with respect to the greedoid), which extend previous generalized conservation laws, then the problem admits a strong LP relaxation over a so-called extended greedoid polytope, which has strong structural and algorithmic properties. We present an adaptive-greedy algorithm (which extends Klimov's) taking as input the linear objective coefficients, which (1) determines whether the optimal LP solution is achievable by a policy in the given family; and (2) if so, computes a set of class-ranking indices that characterize optimal priority policies in the family. In the special case of project scheduling, we show that, under additional conditions, the optimal indices can be computed separately for each project (index decomposition). We further apply the framework to the important restless bandit model (two-action Markov decision chains), obtaining new index policies, that extend Whittle's (1988), and simple sufficient conditions for their validity. These results highlight the power of polyhedral methods (the so-called achievable region approach) in dynamic and stochastic optimization.

On certain greedoid polyhedra, partially indexable scheduling problems and extended restless bandit allocation indices

We present a polyhedral framework for establishing general structural properties on optimal solutions of stochastic scheduling problems, where multiple job classes vie for service resources: the existence of an optimal priority policy in a given family, characterized by a greedoid(whose feasible class subsets may receive higher priority), where optimal priorities are determined by class-ranking indices, under restricted linear performance objectives (partial indexability). This framework extends that of Bertsimas and Niño-Mora (1996), which explained the optimality of priority-index policies under all linear objectives (general indexability). We show that, if performance measures satisfy partial conservation laws (with respect to the greedoid), which extend previous generalized conservation laws, then theproblem admits a strong LP relaxation over a so-called extended greedoid polytope, which has strong structural and algorithmic properties. We present an adaptive-greedy algorithm (which extends Klimov's) taking as input the linear objective coefficients, which (1) determines whether the optimal LP solution is achievable by a policy in the given family; and (2) if so, computes a set of class-ranking indices that characterize optimal priority policies in the family. In the special case of project scheduling, we show that, under additional conditions, the optimal indices can be computed separately for each project (index decomposition). We further apply the framework to the important restless bandit model (two-action Markov decision chains), obtaining new index policies, that extend Whittle's (1988), and simple sufficient conditions for their validity. These results highlight the power of polyhedral methods (the so-called achievable region approach) in dynamic and stochastic optimization.

Restless bandits, partial conservation laws and indexability

We show that if performance measures in a stochastic scheduling problem satisfy a set of so-called partial conservation laws (PCL), which extend previously studied generalized conservation laws (GCL), then the problem is solved optimally by a priority-index policy for an appropriate range of linear performance objectives, where the optimal indices are computed by a one-pass adaptive-greedy algorithm, based on Klimov's. We further apply this framework to investigate the indexability property of restless bandits introduced by Whittle, obtaining the following results: (1) we identify a class of restless bandits (PCL-indexable) which are indexable; membership in this class is tested through a single run of the adaptive-greedy algorithm, which also computes the Whittle indices when the test is positive; this provides a tractable sufficient condition for indexability; (2) we further indentify the class of GCL-indexable bandits, which includes classical bandits, having the property that they are indexable under any linear reward objective. The analysis is based on the so-called achievable region method, as the results follow fromnew linear programming formulations for the problems investigated.

Restless bandits, linear programming relaxations and a primal-dual index heuristic

We develop a mathematical programming approach for the classicalPSPACE - hard restless bandit problem in stochastic optimization.We introduce a hierarchy of n (where n is the number of bandits)increasingly stronger linear programming relaxations, the lastof which is exact and corresponds to the (exponential size)formulation of the problem as a Markov decision chain, while theother relaxations provide bounds and are efficiently computed. Wealso propose a priority-index heuristic scheduling policy fromthe solution to the first-order relaxation, where the indices aredefined in terms of optimal dual variables. In this way wepropose a policy and a suboptimality guarantee. We report resultsof computational experiments that suggest that the proposedheuristic policy is nearly optimal. Moreover, the second-orderrelaxation is found to provide strong bounds on the optimalvalue.

BIO-INSPIRED COMPUTATIONAL TECHNIQUES APPLIED TO THE CLUSTERING AND VISUALIZATION OF SPATIO-TEMPORAL GEOSPATIAL DATA

The coverage and volume of geo-referenced datasets are extensive and incessantly¦growing. The systematic capture of geo-referenced information generates large volumes¦of spatio-temporal data to be analyzed. Clustering and visualization play a key¦role in the exploratory data analysis and the extraction of knowledge embedded in¦these data. However, new challenges in visualization and clustering are posed when¦dealing with the special characteristics of this data. For instance, its complex structures,¦large quantity of samples, variables involved in a temporal context, high dimensionality¦and large variability in cluster shapes.¦The central aim of my thesis is to propose new algorithms and methodologies for¦clustering and visualization, in order to assist the knowledge extraction from spatiotemporal¦geo-referenced data, thus improving making decision processes.¦I present two original algorithms, one for clustering: the Fuzzy Growing Hierarchical¦Self-Organizing Networks (FGHSON), and the second for exploratory visual data analysis:¦the Tree-structured Self-organizing Maps Component Planes. In addition, I present¦methodologies that combined with FGHSON and the Tree-structured SOM Component¦Planes allow the integration of space and time seamlessly and simultaneously in¦order to extract knowledge embedded in a temporal context.¦The originality of the FGHSON lies in its capability to reflect the underlying structure¦of a dataset in a hierarchical fuzzy way. A hierarchical fuzzy representation of¦clusters is crucial when data include complex structures with large variability of cluster¦shapes, variances, densities and number of clusters. The most important characteristics¦of the FGHSON include: (1) It does not require an a-priori setup of the number¦of clusters. (2) The algorithm executes several self-organizing processes in parallel.¦Hence, when dealing with large datasets the processes can be distributed reducing the¦computational cost. (3) Only three parameters are necessary to set up the algorithm.¦In the case of the Tree-structured SOM Component Planes, the novelty of this algorithm¦lies in its ability to create a structure that allows the visual exploratory data analysis¦of large high-dimensional datasets. This algorithm creates a hierarchical structure¦of Self-Organizing Map Component Planes, arranging similar variables' projections in¦the same branches of the tree. Hence, similarities on variables' behavior can be easily¦detected (e.g. local correlations, maximal and minimal values and outliers).¦Both FGHSON and the Tree-structured SOM Component Planes were applied in¦several agroecological problems proving to be very efficient in the exploratory analysis¦and clustering of spatio-temporal datasets.¦In this thesis I also tested three soft competitive learning algorithms. Two of them¦well-known non supervised soft competitive algorithms, namely the Self-Organizing¦Maps (SOMs) and the Growing Hierarchical Self-Organizing Maps (GHSOMs); and the¦third was our original contribution, the FGHSON. Although the algorithms presented¦here have been used in several areas, to my knowledge there is not any work applying¦and comparing the performance of those techniques when dealing with spatiotemporal¦geospatial data, as it is presented in this thesis.¦I propose original methodologies to explore spatio-temporal geo-referenced datasets¦through time. Our approach uses time windows to capture temporal similarities and¦variations by using the FGHSON clustering algorithm. The developed methodologies¦are used in two case studies. In the first, the objective was to find similar agroecozones¦through time and in the second one it was to find similar environmental patterns¦shifted in time.¦Several results presented in this thesis have led to new contributions to agroecological¦knowledge, for instance, in sugar cane, and blackberry production.¦Finally, in the framework of this thesis we developed several software tools: (1)¦a Matlab toolbox that implements the FGHSON algorithm, and (2) a program called¦BIS (Bio-inspired Identification of Similar agroecozones) an interactive graphical user¦interface tool which integrates the FGHSON algorithm with Google Earth in order to¦show zones with similar agroecological characteristics.

Accès des patients agés aux urgences: evolution démographique et perspectives médico-ethiques [Access of elderly patients in the emergency department: demographic evolution and ethical perspectives].

Due to actual demographic evolution, emergency departments have to face a dramatic increase in admissions of elderly people. The peculiar medical and socio-demographic characteristics of these old patients emphasize the need of specific decision processes and resources allocation. An individual-based approach, related to significant ethical values, should allow better diagnostic and therapeutic attitudes. Such a way to admit, evaluate and treat older patients implies an active collaboration with patients and their relatives, but also with all medical interveners, including in particular primary care physicians.

Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination

In this paper, we present a comprehensive study of different Independent Component Analysis (ICA) algorithms for the calculation of coherency and sharpness of electroencephalogram (EEG) signals, in order to investigate the possibility of early detection of Alzheimer’s disease (AD). We found that ICA algorithms can help in the artifact rejection and noise reduction, improving the discriminative property of features in high frequency bands (specially in high alpha and beta ranges). In addition to different ICA algorithms, the optimum number of selected components is investigated, in order to help decision processes for future works.

The role of Notch receptor signaling in T helper 17 cell differentiation

Antigenic recognition by naive CD4+ T cells induces their proliferation and differentiation into functionally distinct T helper (Th) cell. Each CD4+ Th cell subset expresses specific transcription factors and produces signature cytokines that coordinate immune responses against encountered pathogens. Among the factors influencing CD4+ Th cell differentiation, Notch signaling pathway has been reported to play a role in the differentiation and function of multiple CD4+Thcell subsets. Notch signaling is an evolutionarily conserved cell-to-cell signaling cascade involved in many cell fate decision processes. How Notch signaling modulates the differentiation of CD4+ Th cell subsets and whether Notch signaling alone is sufficient or not for the differentiation of CD4+ Th cells is still a matter of debate. Th17 cells are a distinct subset of CD4+ Th cells. They play a role in the control of extracellular bacterial and fungal infections and may lead to inflammatory and autoimmune diseases if not properly regulated. Th17 cells are defined by the expression of RAR-related orphan receptor (ROR)a and RORyT transcription factors and their secretion of IL-17A, IL-17F cytokines. The involvement of Notch signaling in Th17 cell differentiation has mostly been studied in vitro. However, neither the experimental conditions when Notch signaling might be involved in Th17 cell differentiation in vitro and in vivo nor the precise role of Notch in this process remain clear. To better define how Notch signaling impacts Th17 differentiation, we used mice with T cell specific ablation of Notchl and Notch2 (N1 N2ACD4Cre) or of Notch transcriptional repressor RBP- JK (RBP-J ACD4Cre). We show that impaired Notch signaling in T cells, when TCR activating signal were reduced, increased RORyT and IL-17 mRNA levels during in vitro Th17 cell differentiation. Following immunization with OVA in CFA, an adjuvant that induces mostly Th17 cell response, increased IL-17A mRNA and intracellular IL-17A levels were observed in draining lymph nodes of Notch-deficient CD4+T cells. Our data suggest that Notch limited Th17 cell differentiation. Despite high levels of IL-17 mRNA and intracellular IL-17 proteins observed in Notch-deficient T cells, their release of Th17 cytokines ex vivo was markedly decreased, indicating a role for Notch signaling. During the second part of this thesis, we observed that the impact of Notch on Th17 cell differentiation and effector functions was context-dependent using different in vivo experimental models, in which Th17 cells and IL-17A were reported to contribute in the disease development. Collectively, our data reveal that Notch signaling controls the fine-tuning of Th17 cell differentiation and effector functions by limiting their differentiation but promoting selectively cytokine release through Notch-dependent mechanisms that still need to be defined. -- Lors d'une réponse immunitaire et grâce à la reconnaissance antigénique, les lymphocytes CD4+ T naïfs prolifèrent, puis se différencient en CD4+ T auxiliaires ("T helper" ou Th) fonctionnellement distincts. Chaque sous-population de lymphocytes CD4+ T auxiliaires exprime des facteurs de transcription et des cytokines spécifiques qui coordonnent la réponse immunitaire contre les pathogènes rencontrés. Parmi les facteurs influençant la différenciation des lymphocytes CD4+ T auxiliaires, la voie de signalisation Notch a été identifiée comme ayant un rôle dans la différenciation et la fonction des différents sous-types de cellules CD4+ T auxiliaires. La voie de signalisation Notch est une voie évolutivement conservée, qui est impliquée dans la signalisation entre les cellules et dans de nombreux processus de décisions cellulaires. La manière dont la voie de signalisation Notch régule la différenciation des lymphocytes CD4+ T en sous-types de cellules CD4+ auxiliaires, mais également la question de savoir si la voie de signalisation Notch est capable ou non d'induire la différenciation des cellules CD4+T auxiliaires, restent à débattre. Les cellules T auxiliaires 17 (Th17) sont un sous-type distinct de cellules CD4+T. Elles jouent un rôle important dans la défense immunitaire contre des pathogènes tels que les bactéries extracellulaires et les champignons. Une dérégulation de la réponse des cellules Th17 peut conduire à des inflammations mais également à des maladies auto-immunes. Les cellules Th17 sont définies par l'expression de leurs facteurs de transcription RAR-related orphan receptor (ROR)a, RORyT et par la sécrétion de cytokines comme IL-17A, IL-17F. Le rôle de la voie de signalisation Notch dans la différenciation des cellules Th17 a principalement été démontré in vitro. Malgré tout, ni les conditions expérimentales dans lesquelles cette voie pourrait être impliquée dans la différenciation des cellules Th17 in vitro et in vivo, mais également ni la fonction exacte de Notch dans ces processus, ne sont des questions résolues. Afin de mieux définir comment la voie de signalisation Notch est impliquée dans la différenciation des cellules Th17, nous avons utilisé des souris avec une déficience spécifique dans les cellules T des récepteurs Notchl et Notch2 (N1N2ACD4Cre) ou du répresseur transcriptionnel de Notch RBP-JK (RBP-J ACD4Cre). Nous avons montré que lorsque la voie de signalisation Notch est déficiente, les niveaux d'ARN messager (ARNm) de RORyT et de IL-17A sont augmentés dans les cellules Th17 pendant la différenciation in vitro, en présence de niveaux réduits des signaux activant les cellules T CD4+. Une augmentation dans les niveaux d'ARNm de IL-17A et de IL-17A intracellulaire au niveau protéinique a été observée dans les cellules T CD4+ Notch déficientes, au niveau des ganglions drainants après immunisation avec l'OVA dans le CFA, un adjuvant induisant une réponse des cellules Th17. Nos résultats suggèrent que Notch pourrait réguler négativement l'expression de IL-17A au niveau transcriptionnel mais également protéinique. Malgré une augmentation de IL-17A au niveau de l'ARNm et protéinique dans les cellules CD4+ T Notch déficientes, paradoxalement la sécrétion de IL-17A mais également de cytokines associées aux fonctions effectrices des cellules Th17 sont profondément diminuées 6X vivo, suggérant un rôle de la voie de signalisation Notch dans ce processus. Dans la deuxième partie de ce travail de thèse, nous avons observé que l'impact de Notch dans la différenciation des cellules Th17 et dans leurs fonctions effectrices était dépendant du contexte dans d'autres modèles expérimentaux in vivo, où les cellules Th17 et l'IL-17A ont été identifiées comme ar-.riCociêSM dans le développement ds la pathologie. En résumé, nous avons montré que la voie de la signalisation Notch contrôle la régulation précise de la différenciation des cellules Th17 en limitant leur différenciation, mais en promouvant sélectivement leur relâchement en cytokines associés aux cellules Th17 par l'intermédiaire de mécanismes dépendant de Notch, qui restent toujours à déterminer. -- Lors d'une réponse immunitaire et grâce à la reconnaissance antigénique, les lymphocytes CD4+ T naïfs prolifèrent, puis se différencient en CD4+ T auxiliaires ("T helper" ou Th) fonctionnellement distincts. Chaque sous-population de lymphocytes T auxiliaires exprime des facteurs de transcription et des cytokines spécifiques qui coordonnent une réponse immunitaire contre différents pathogènes. Les mécanismes liés à la différenciation des lymphocytes CD4+ T auxiliaires sont complexes et régulés. Une mauvaise régulation de la différenciation des lymphocytes CD4+ T auxiliaires peut conduire à des maladies auto-immunes, mais également à des processus inflammatoires. Parmi les facteurs influençant la différenciation des lymphocytes T auxiliaires, la voie de signalisation Notch a été identifiée comme ayant un rôle dans la différenciation et la fonction des différents sous-types de cellules CD4+ T auxiliaires. La voie de signalisation Notch est une voie évolutivement conservée, qui est impliquée dans la signalisation entre les cellules, mais également dans de nombreux processus de décisions cellulaires. Quelle est l'implication de la voie de signalisation Notch dans la différenciation des lymphocytes CD4+ en sous-types de cellules CD4+T auxiliaires et comment cette voie agit dans ce processus, sont des questions débattues. Les cellules T auxiliaires 17 (Th17) sont une sous-population distincte de lymphocytes CD4+. Elles jouent un rôle important dans la défense immunitaire contre les bactéries extracellulaires et les champignons. Une dérégulation de la réponse des cellules Th17 a été associée à des maladies auto-immunes et à l'inflammation. Les cellules Th17 sont définies par l'expression du facteur de transcription RAR-related orphan receptor (ROR)yT et des cytokines comme IL-17A, IL-17F. Le rôle de la voie de signalisation Notch dans la différenciation des cellules Th17 a été principalement démontré dans des études expérimentales in vitro. Malgré tout, les conditions expérimentales exactes dans lesquelles la voie de signalisation de Notch pourrait être impliquée dans la différenciation des cellules Th17, mais également le rôle de Notch dans ce processus ne sont pas encore clairement élucidés. Afin de mieux définir comment la voie de signalisation Notch est impliquée dans la différenciation des cellules Th17, nous avons utilisé des souris avec une déficience spécifique dans les cellules T des récepteurs Notchl et Notch2 (N1 N2ACD4Cre) ou du répresseur transcriptionnel de Notch RBP-JK (RBP-JACD4CRE). Nous avons montré que lorsque la voie de signalisation Notch est déficiente, les niveaux d'ARN messager (ARNm) de RORyT et de IL-17 sont augmentés dans les cellules Th17 pendant leur différenciation in vitro. Cet effet de Notch sur la transcription apparaît être facultatif lorsque les conditions environnementales sont en excès in vitro. Après immunisation avec un adjuvant qui induit principalement une réponse des cellules Th17, nous avons observé que les niveaux de ARNm de IL-17A et aussi de IL-17A intracellulaire au niveau protéinique étaient augmentés dans les ganglions drainants dans les cellules CD4+ Notch déficientes. Ces résultats suggèrent que Notch pourrait réguler négativement l'expression de IL- 17 au niveau transcriptionnel mais également protéinique. Malgré des niveaux plus élevés de IL- 17 ARNm et aussi IL-17A intracellulaire dans les cellules T Notch déficientes, le relâchement en cytokines Th17 est profondément diminué indiquant un rôle de la voie de signalisation Notch dans ces processus de sécrétion. Dans la deuxième partie de cette thèse, nous avons observé que le rôle de Notch dans ia différenciation dss cellules Ti,17 et dans leurs fonctions effectrices était dépendant du contexte dans d'autres modèles expérimentaux, qui ont été rapportés comme une réponse induisant des cellules Th17. En résumé, nos données montrent que la voie de la signalisation Notch contrôle la régulation précise de la différenciation des cellules Th17 en limitant leur différenciation mais en promouvant sélectivement le relâchement en cytokines associées aux cellules Th17 par des mécanismes dépendant de Notch qui restent toujours à déterminer. Par conséquent, l'inhibition de la voie de signalisation Notch pourrait être utilisée dans des situations inflammatoires ou d'auto-immunité où la réponse des cellules Th17 est exacerbée.

Yrittäjyysintentiosta yrittäjäksi - vai yrittäjyydestä luopujaksi?

Tutkielman tavoitteena on syventää käsitystä yrittäjäksi ryhtymisestä ja siihen vaikuttavista tekijöistä. Tutkielmassa on tutkittu yrittäjyyttä, yrittäjäksi ryhtymisen prosessia ja yrittäjäkoulutusta. Tutkielmassa tarkastellaan yrittäjäkurssin käyneitä henkilöitä, joista osa on perustanut yrityksen, mutta osa luopunut yrittäjyysintentiostaan yrittäjäksi ryhtymisen prosessin aikana. Tutkimus on luonteeltaan laadullinen. Tutkielmassa on teemahaastatteluilla selvitetty, minkälainen on yrittäjäksi ryhtyvän päätöksentekoprosessi, mitkä tekijät korostuvat päätöksentekoprosessissa yrittäjäksi ryhtyneillä ja aiotusta yrittäjyydestä luopuneilla, sekä mikä on ollut koulutuksen vaikutus yrittäjyysprosessissa. Tutkimuksessa on haastateltu yhtätoista Lappeenrannan seudun Yrittäjyysprojektin yrittäjäkurssin käynyttä henkilöä. Näiden haastatteluiden pohjalta on luotu tarinat jokaisesta henkilöstä. Päätöksentekoprosessit vaihtelivat tapauskohtaisesti sekä ajan että intensiteetin suhteen. Haastatelluista yrittäjiksi ryhtyneillä korostuivat tilannetekijät, kuten työttömyys ja työtyytymättömyys yrittäjyyteen ajaneina tekijöinä. Henkilötekijöistä esille nousivat sisäisen hallinnan tunne ja suoriutumisen tarve. Yrittäjäkurssilla koettiin olevan tiedonsaannin kannalta suuri merkitys.