7 resultados para Entrepreneurship. Entrepreneur. Locus of control. Entrepreneur behavior
em Universitat de Girona, Spain
Resumo:
In this research we explore several aspects of quality of life in young people, working with factors such as self-esteem, locus of control, perceived social support, values, and so on. We examine the correlations among factors that influence the values and life satisfaction of adolescents aged 12-16. Furthermore, we analyze the data obtained from the children, on the one hand, and their parents, on the other, we explore the relationships between the factors and we consider the agreements and discrepancies between the responses of parents and their offspring
Resumo:
En l’actualitat el burnout o síndrome de cremar-se per la feina és considerat un risc emergent als països occidentals essent el col·lectiu docent un dels més afectats. L’espai europeu d’educació superior proposa un nou rol pel professor que haurà de ser compaginat amb la gestió, la recerca i la transferència de coneixement. En la present recerca s’analitza el nivell de burnout en una mostra formada per 42 docents (mitjana d’edat: 37,21 anys; D.T.: 8,98; 70,8% dones) del departament de Psicologia de la Universitat de Girona. El burnout s’ha avaluat amb el Maslach Burnout Inventory (MBI) així com amb un qüestionari d’elaboració pròpia que recull variables sociodemogràfiques, característiques del tipus de treball i de l’ús del temps lliure, el locus de control i el burnout percebut. Els resultats obtinguts indiquen valors mitjans en les puntuacions de les dimensions Cansament Emocional i Despersonalització, i valors elevats en Realització Personal. El 20,5% dels docents es percep cremat per la feina
Resumo:
In this research we explore several aspects about the quality of life of youth from factors such as self-esteem, locus of control, the social perceived support, values, etc. In this article we study the correlations among factors the influence the values and vital satisfaction of adolescents aged 12-16 years old. We analyze data from boys and girls and from their parents, we explore the relationship between the factors and we explore the concordances and discrepancies of their answers
Resumo:
Introducció. Actualment, està àmpliament acceptat que l'esquizofrènia posseeix una etiologia multifactorial i que existeix una complexa interacció entre factors genètics i factors ambientals. Amb l'objectiu de coneixerà quins són els mecanismes etiològics i patofisiològics que determinen el trastorn una part de la investigaci6 s 'ha centrat, en els últims anys, en la detecció de marcadors de vulnerabilitat en subjectes amb risc al trastorn. Aquesta vulnerabilitat, denominada 'esquizotipia', es pot identificar en subjectes clínicament no afectats. Objectiu. L'objectiu d'aquesta investigació s'ha dirigit a intentar contestar a alguns interrogants que encara no tenen resposta. Per exemple, per què alguns familiars, essent portadors del genotip esquizofrènic, no han presentat mai la malaltia?, existeixen formes esquizotípiques de menor risc per a la presentació del trastorn?, poden alguns patrons esquizotípics 'ajudar' a que la vulnerabilitat es mantingui latent i no es manifesti en forma de trastorn? En termes generals, l'estudi s'ha centrat en la identificació de marcadors de vulnerabilitat dels trastorns de l'espectre esquizofrènic en pares no afectats de pacients amb esquizofrènia (subjectes d'edats avançades amb poca probabilitat de presentar el trastorn) comparats amb pares normals de subjectes normals. Metodologia. S' han avaluat 26 parelles de pares no afectats de pacients amb esquizofrènia i 26 parelles de pares normals de subjectes normals (n= 104) en variables de personalitat i comportamentals (esquizotipia psicomètrica -O-LIFE-, trastorns de personalitat -Qüestionari d'avaluació IPDE-, psicopatologia general -SCL-90- i lloc de control -MHLC-) i variables neuropsicològiques (dèficit atencional -CPT-IP-, funció executiva -TMT part B- i memòria i aprenentatge verbal -CVLT-). Resultats. Els pares dels pacients esquizofrènics, comparats amb els controls, mostren significativament puntuacions mes altes al factor d'anhedònia introvertida, al trastorn paranoide de la personalitat i al trastorn per evitació de la personalitat, més característiques de psicopatologia general i un major lloc de control intern relacionat amb la salut. També realitzen mes errors d'omissió en la tasca atencional, presenten una major interferència proactiva al test de memòria i aprenentatge verbal i mostren una tendència a dedicar mes temps a completar la tasca executiva. Els resultats mostren que les associacions entre les variables de personalitat i les neuropsicològiques són de poca magnitud i les diferències entre ambdós grups no segueixen un patró clarament determinat. Conclusions. Els pares dels pacients esquizofrènics presenten més trets esquizotípics negatius que els pares del subjectes normals. L'anhedònia introvertida podria considerar-se com una forma de menor risc a l'esquizofrènia ja que s'evidencia en subjectes (pares) d'edats avançades que ja han superat l'edat de risc i amb poca probabilitat de presentar mai el trastorn. Tanmateix, es confirma que el trastorn paranoide de la personalitat forma part dels trastorns de l'espectre esquizofrènic. Els pares dels pacients atribueixen un major pes i la internalització i al poder dels altres en relació a l'estat de salut, i en general, presenten més característiques psicopatològiques que el grup control. Quant a les variables neuropsicològiques, els pares dels pacients realitzen pitjor la tasca atencional, són més lents en l'anticipació, planificació i flexibilitat de les respostes en el test executiu. Els indicadors de memòria i aprenentatge verbal no discriminen a ambdós grups, i únicament els pares dels pacients presenten una major interferència proactiva. Finalment, el patró de personalitat i el neuropsicològic corresponen a dos fenotips diferents relacionats amb l'esquizofrènia que no es troben íntimament units en subjectes amb aquestes característiques.
Resumo:
Proposes a behavior-based scheme for high-level control of autonomous underwater vehicles (AUVs). Two main characteristics can be highlighted in the control scheme. Behavior coordination is done through a hybrid methodology, which takes in advantages of the robustness and modularity in competitive approaches, as well as optimized trajectories
Resumo:
This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obtained dynamic model, an integrated predictive control algorithm is proposed to position precisely with either stationary or moving obstacle avoidance. This objective is achieved automatically by introducing distant constraints into the open-loop optimization of control inputs. Simulation results demonstrate the feasibility of such control strategy for the deduced dynamic model
Resumo:
The aim of this thesis is to narrow the gap between two different control techniques: the continuous control and the discrete event control techniques DES. This gap can be reduced by the study of Hybrid systems, and by interpreting as Hybrid systems the majority of large-scale systems. In particular, when looking deeply into a process, it is often possible to identify interaction between discrete and continuous signals. Hybrid systems are systems that have both continuous, and discrete signals. Continuous signals are generally supposed continuous and differentiable in time, since discrete signals are neither continuous nor differentiable in time due to their abrupt changes in time. Continuous signals often represent the measure of natural physical magnitudes such as temperature, pressure etc. The discrete signals are normally artificial signals, operated by human artefacts as current, voltage, light etc. Typical processes modelled as Hybrid systems are production systems, chemical process, or continuos production when time and continuous measures interacts with the transport, and stock inventory system. Complex systems as manufacturing lines are hybrid in a global sense. They can be decomposed into several subsystems, and their links. Another motivation for the study of Hybrid systems is the tools developed by other research domains. These tools benefit from the use of temporal logic for the analysis of several properties of Hybrid systems model, and use it to design systems and controllers, which satisfies physical or imposed restrictions. This thesis is focused in particular types of systems with discrete and continuous signals in interaction. That can be modelled hard non-linealities, such as hysteresis, jumps in the state, limit cycles, etc. and their possible non-deterministic future behaviour expressed by an interpretable model description. The Hybrid systems treated in this work are systems with several discrete states, always less than thirty states (it can arrive to NP hard problem), and continuous dynamics evolving with expression: with Ki ¡ Rn constant vectors or matrices for X components vector. In several states the continuous evolution can be several of them Ki = 0. In this formulation, the mathematics can express Time invariant linear system. By the use of this expression for a local part, the combination of several local linear models is possible to represent non-linear systems. And with the interaction with discrete events of the system the model can compose non-linear Hybrid systems. Especially multistage processes with high continuous dynamics are well represented by the proposed methodology. Sate vectors with more than two components, as third order models or higher is well approximated by the proposed approximation. Flexible belt transmission, chemical reactions with initial start-up and mobile robots with important friction are several physical systems, which profits from the benefits of proposed methodology (accuracy). The motivation of this thesis is to obtain a solution that can control and drive the Hybrid systems from the origin or starting point to the goal. How to obtain this solution, and which is the best solution in terms of one cost function subject to the physical restrictions and control actions is analysed. Hybrid systems that have several possible states, different ways to drive the system to the goal and different continuous control signals are problems that motivate this research. The requirements of the system on which we work is: a model that can represent the behaviour of the non-linear systems, and that possibilities the prediction of possible future behaviour for the model, in order to apply an supervisor which decides the optimal and secure action to drive the system toward the goal. Specific problems can be determined by the use of this kind of hybrid models are: - The unity of order. - Control the system along a reachable path. - Control the system in a safe path. - Optimise the cost function. - Modularity of control The proposed model solves the specified problems in the switching models problem, the initial condition calculus and the unity of the order models. Continuous and discrete phenomena are represented in Linear hybrid models, defined with defined eighth-tuple parameters to model different types of hybrid phenomena. Applying a transformation over the state vector : for LTI system we obtain from a two-dimensional SS a single parameter, alpha, which still maintains the dynamical information. Combining this parameter with the system output, a complete description of the system is obtained in a form of a graph in polar representation. Using Tagaki-Sugeno type III is a fuzzy model which include linear time invariant LTI models for each local model, the fuzzyfication of different LTI local model gives as a result a non-linear time invariant model. In our case the output and the alpha measure govern the membership function. Hybrid systems control is a huge task, the processes need to be guided from the Starting point to the desired End point, passing a through of different specific states and points in the trajectory. The system can be structured in different levels of abstraction and the control in three layers for the Hybrid systems from planning the process to produce the actions, these are the planning, the process and control layer. In this case the algorithms will be applied to robotics ¡V a domain where improvements are well accepted ¡V it is expected to find a simple repetitive processes for which the extra effort in complexity can be compensated by some cost reductions. It may be also interesting to implement some control optimisation to processes such as fuel injection, DC-DC converters etc. In order to apply the RW theory of discrete event systems on a Hybrid system, we must abstract the continuous signals and to project the events generated for these signals, to obtain new sets of observable and controllable events. Ramadge & Wonham¡¦s theory along with the TCT software give a Controllable Sublanguage of the legal language generated for a Discrete Event System (DES). Continuous abstraction transforms predicates over continuous variables into controllable or uncontrollable events, and modifies the set of uncontrollable, controllable observable and unobservable events. Continuous signals produce into the system virtual events, when this crosses the bound limits. If this event is deterministic, they can be projected. It is necessary to determine the controllability of this event, in order to assign this to the corresponding set, , controllable, uncontrollable, observable and unobservable set of events. Find optimal trajectories in order to minimise some cost function is the goal of the modelling procedure. Mathematical model for the system allows the user to apply mathematical techniques over this expression. These possibilities are, to minimise a specific cost function, to obtain optimal controllers and to approximate a specific trajectory. The combination of the Dynamic Programming with Bellman Principle of optimality, give us the procedure to solve the minimum time trajectory for Hybrid systems. The problem is greater when there exists interaction between adjacent states. In Hybrid systems the problem is to determine the partial set points to be applied at the local models. Optimal controller can be implemented in each local model in order to assure the minimisation of the local costs. The solution of this problem needs to give us the trajectory to follow the system. Trajectory marked by a set of set points to force the system to passing over them. Several ways are possible to drive the system from the Starting point Xi to the End point Xf. Different ways are interesting in: dynamic sense, minimum states, approximation at set points, etc. These ways need to be safe and viable and RchW. And only one of them must to be applied, normally the best, which minimises the proposed cost function. A Reachable Way, this means the controllable way and safe, will be evaluated in order to obtain which one minimises the cost function. Contribution of this work is a complete framework to work with the majority Hybrid systems, the procedures to model, control and supervise are defined and explained and its use is demonstrated. Also explained is the procedure to model the systems to be analysed for automatic verification. Great improvements were obtained by using this methodology in comparison to using other piecewise linear approximations. It is demonstrated in particular cases this methodology can provide best approximation. The most important contribution of this work, is the Alpha approximation for non-linear systems with high dynamics While this kind of process is not typical, but in this case the Alpha approximation is the best linear approximation to use, and give a compact representation.