RESUMÉ de la thèse de magistère „Optimisation de la rèalisation des habitants ďun pensionnat“ faite par Judita Kriauciuniene, étudiante en magistère de spécialité de la gestion des institutions sociales, chaire de Pédagogie sociale, Faculté de Pédagogie et de Psychologie de ľUniversité Pédagogique de Vilnius. La thèse est faite sous la direction du docteur Romas Prakapas en 2004. La plupart des personnes ayant ľinvalidité psychique sont envoyées aux pensionnats, institutions stationnaires de tutelle. Le personnel du domaine social a une charge la plus importante dans la réalisation des besoins des pensionnaires. Comme dans notre pays il n’y a pas de grande expérience et de méthodes expérimentés concernant le travail avec des personnes ayant l’invalidité psychique, les employés sociaux agissent en utilisant l’expérience des pays étrangers. On sent la manque de la littérature des experts lituaniens sur les questions de réalisation des besoins des pensionnaires. On peut trouver encore des personnes dans des institutions stationnaires de tutelle qui y travaillent sans qualification requise et suffisante. Outre cela, l’expérience professionnelle de l’auteur de cette thèse permet à affirmer que les pensionnaires ne se sentent pas comme les citoyens pleinement appréciés de notre société et que leurs besoins ne sont pas suffisamment réalisés. Cette thèse vise à analyser les besoins des personnes ayant l’invalidité psychique et présenter l’optimisation de la... [to full text]

The subject of research work Microclimate of baarding – hause community. The aim of the work To make analisys of the communitys demands to improve microclimate. Tasks : 1. To analyze microclimate of institution as base effective work. 2. To reveal importance of teamwork while mobilizing human resources. 3. To generalize the stresses in social care work, which are condition competences and state of mind. 4. To present methods of social help while initiative to develop state of mind of the staff. 5. To make an overview of social worker as member of teamwork, who is ready to coordinate the process of betterment microclimate. Methods: analysis of the scientific literature, analysis of the official documents, questioning in oral and written. The practical adaptability of this paper: The administration of Panevėžys region after the acquaintance with magūter ideas can to initiative office of social worker as initiator and coordinator of management microclimate in care institution. The structure of the paper: Part of the paper generalizes the ideas from the scientific literature about the microclimate of organization and input of social worker in process of changing it.Part of the paper presents understanding of the teamwork, principles of formation and the role of social worker in it. Third part the author of the paper generalize stresses of staff in care institution on theoretic field. Here are presented methods of overcome different stresses.Fourth part of the... [to full text]

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This thesis has been written on commission by Laboratoriemedicin VLL, which is a part of region’s hospital. The organization did not work as efficiently as it could, and senior managers have encountered various problems. We have been asked to estimate the situation, analyze it, and come up with solutions which could increase efficiency and productivity; in other words, increase organizational performance. After preliminary interview with the senior manager, we have identified our areas of the interest: organizational structure, leadership, and communication.   This preliminary interview made us very interested at the situation at Laboratoriemedicin, and helped us to formulate our research question: “How do organizational structure, leadership, and communication affect productivity and efficiency of the public health-care organization?” Moreover, it made our research have two purposes, one of academic character, and one of practical character. The academic purpose is in investigating relationship between organizational structure, leadership, and communication and organizational performance, i.e. efficiency and productivity. The practical purpose is in giving analysis-based recommendations about possible ways to increase productivity and efficiency to Laboratoriemedicin VLL.   In order to find out the answer to the research question and to fulfill both purposes of the research, we have conducted a qualitative research. This has been done by interviewing ten people working at Laboratoriemedicin. We have tried to talk to representatives of different layers of the organization to make our research more diversificated and complete. These semi-structured interviews resulted in qualitative data, which had been processed and analyzed using coding technique.   The findings of our research revealed that structure, leadership, and communication affect efficiency and productivity. Structure defines how productive the operational processes are; leadership affects the whole personnel and the way they strive for achieving their goal; communication affects how fast things are getting done and how happy and willing personnel are. Additionally, we have spotted two areas affecting the relationship between structure, communication, leadership, and organizational performance: development issues and personal issues. Moreover, we have found that leadership and organization are the most problematic spots in Laboratoriemedicin. After careful analysis of the situation we have come up with the list of suggestions that can help the organization to achieve increased efficiency and productivity.

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This study explores the mathematical programming aspects of the air cargo fleet assignment problem for one international air cargo carrier - Korean Air - under given origin-destination (O-D) pairs, departure and arrival times, and frequencies. A pure cargo service is taken as the basis for this study, since such a service is not constrained by passenger route determinants and the schedule of a combination air carrier. The objectives of the study include: to identify the pure air cargo network representation of the combination air carriers; to develop and solve a conventional branch-and-bound mathematical programming model for optimising the assignment of aircraft to flight routes given a set of constraints, including aircraft fleet size, schedule balance, and `required through' constraints; to develop and solve the fleet assignment problem using a novel neural network optimisation modelling approach; to investigate methods of implementing the neural network model, and to analyse the performance of the model when compared with conventional solution methods; and finally to analyse the utility of the neural network model and identify how it may be used in the design and development of air cargo networks for combination air carriers like Korean Air. There are four main parts to the thesis: the first part outlines the schedule design process of an airline and some details of the fleet assignment problem are reviewed. The air cargo flight network is represented and the fleet assignment problem is formulated as a mixed integer programming problem of cost minimisation with various constraints. The complexity of the problem is discussed; the second part outlines the various techniques available to solve optimisation problems and neural network models are presented and discussed as a promising alternative solution method. Neural network applications in the transport field are reviewed and the neural network process for optimisation and for solving the general assignment problem are studied and presented; the third part incorporates the practical application of both the conventional fleet assignment problem solving method and the proposed neural network method to a combination airline's case - Korean Air. The detailed process of constructing a time line network and formulating a mathematical programming model are described and equivalent neural network models are formulated. The results from the two solution approaches are compared and evaluated; and the final part summarises the main findings, presents the significant conclusions, the contribution of the research is discussed and some recommendations for further research are presented. Overall, the conventional branch-and-bound optimisation model yielded plausible results which were demonstrably superior to those produced using the novel neural network optimisation models.

Mathematical models are often used to describe and, in some cases predict, excitable cellular behaviour that is based on observed experimental results. With the increase of computational power, it is now possible to solve such models in a relatively short time. This, along with an increasing knowledge of cellular and subcellular processes, has led to the development of a large number of complex cellular models, capable of describing a broad range of excitable cell behaviour. But the use of complex models can also lead to problems. Most models can accurately reproduce results associated with the data on which the models are based. However, results from complicated models, with large numbers of variables and parameters, are less reliable if the model is not placed under the same physiological conditions as defined by the model author. In order to test a model??s suitability and robustness over a range of physiological conditions, one needs to fit model parameters against experimental data observed under those conditions. By using the modelling standard and repository offered by CellML, model users can easily select and adapt a large number of models to set up their own applications to fit model parameters against user-supplied experimental data. However, currently there is a lack of software that can utilise CellML model for parameter fitting. In this thesis, a Java-based utility has been developed, capable of performing least square parameter optimisation for a wide range of CellML models. Using the developed software, a number of parameter fits and identifiability analyses were performed on a selected group of CellML models. It was found that most of the models were ill-formed, with larger numbers of parameters worsening model identifiability. In some cases, the usage of multiple datasets and different objective functions can improve model identifiability. Finally, the developed software was used to perform parameter optimisation against two sets of action potentials from a sinoatrial node experiment, in the absence and presence of E9031, a specific ion channel blocker.

Mathematical models are often used to describe and, in some cases predict, excitable cellular behaviour that is based on observed experimental results. With the increase of computational power, it is now possible to solve such models in a relatively short time. This, along with an increasing knowledge of cellular and subcellular processes, has led to the development of a large number of complex cellular models, capable of describing a broad range of excitable cell behaviour. But the use of complex models can also lead to problems. Most models can accurately reproduce results associated with the data on which the models are based. However, results from complicated models, with large numbers of variables and parameters, are less reliable if the model is not placed under the same physiological conditions as defined by the model author. In order to test a model??s suitability and robustness over a range of physiological conditions, one needs to fit model parameters against experimental data observed under those conditions. By using the modelling standard and repository offered by CellML, model users can easily select and adapt a large number of models to set up their own applications to fit model parameters against user-supplied experimental data. However, currently there is a lack of software that can utilise CellML model for parameter fitting. In this thesis, a Java-based utility has been developed, capable of performing least square parameter optimisation for a wide range of CellML models. Using the developed software, a number of parameter fits and identifiability analyses were performed on a selected group of CellML models. It was found that most of the models were ill-formed, with larger numbers of parameters worsening model identifiability. In some cases, the usage of multiple datasets and different objective functions can improve model identifiability. Finally, the developed software was used to perform parameter optimisation against two sets of action potentials from a sinoatrial node experiment, in the absence and presence of E9031, a specific ion channel blocker.

Th.--Informatique et réseaux--Paris--ENST, 1993. / Bibliogr. p. 186-194.