A systems biology framework for pathway level culture media engineering: pplication to Pichia pastoris cultures

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Derivation and consistency checking of models in early software product line engineering

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

NEGOSEIO: framework for the sustainability of model-oriented enterprise interoperability

Dissertation to obtain the degree of Doctor of Philosophy in Electrical and Computer Engineering(Industrial Information Systems)

Knowledge and practices of general practitioners of district Peshawar about schizophrenia

ABSTRACT: Schizophrenia with its disabling features has been placed in the top ten of global burden of disease and is associated with long-term decline in functional ability. General Practitioners not only have an important role in treating patients with an established diagnosis of schizophrenia but they can also contribute significantly by identifying people in early stages of psychosis as they are the first hand medical help available and the duration of untreated psychosis is a good indicator of patient’s prognosis. This cross sectional survey, conducted at the clinics of General Practitioners, was designed to assess the knowledge and practices of general practitioners in Peshawar on diagnosis and treatment of schizophrenia. A semi structured questionnaire was used to assess their knowledge and practices regarding schizophrenia. The Knowledge/Practice was then categorized as good or poor based on their responses to the questions of the administered questionnaire. Overall, the results showed that the knowledge and practices of general practitioners of district Peshawar were poor regarding schizophrenia and may be responsible for delayed diagnosis, inadequate treatment and poor prognosis.

The impact of knowledge transfer on innovation in multinational corporations: Exploring the contingent effects

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

The impact of the social class on the development of money knowledge

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

An approach to teach Calculus/Mathematical Analysis (for engineering students) using computers and active learning – its conception, development of materials and evaluation

Dissertação para obtenção do Grau de Doutor em Ciências da Educação

Time series morphological analysis applied to biomedical signals events detection

Dissertation submitted in the fufillment of the requirements for the Degree of Master in Biomedical Engineering

Negotiation environment to support enterprise interoperability sustainability

Dissertation to obtain the Master degree in Electrical Engineering and Computer Science

Bioprocess engineering of induced pluripotent stem cells for application in cell therapy and pre-clinical research

Dissertation to obtain Master Degree in Biotechnology

WebGIS applied to Improve Spatial Knowledge of High School Students

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

Making connections: engineering and language issues in teaching english for specific purposes

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Línguas, Literaturas e Culturas

A knowledge-based framework to facilitate E-training implementation

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

A semi-automatic approach to code smells detection

Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.