This report describes the working process and creation of a new website for Lindt & Sprüngli Sweden with the help of the content management systems Magento and TYPO3. The report shows how different elements are created and published on the website, how the education in these systems was acquired and how contact with third party companies has been initiated and maintained. It also accounts for what is shown on the website as well as why it is shown. The goal with this project is to deliver a complete website to Lindt & Sprüngli Sweden where customers can find information about products as well as the company. The results of this project was a website that was launched on www.lindt.se on the 17th of June 2015.

Building a useful and usable website for international users requires more than translating the content of an existing site to other languages. It should be designed in a way to meet the needs of these users. In order to build a usable website, we need to use a methodology that has a focus on usability. One methodology that is considered essential for designing and developing usable systems is “User-Centered System Design” (UCSD). UCSD has the focus on understanding users’ goals and needs, involving them in participatory design, and evaluating the design with them. However, how can we use UCSD while the users are geographically spread out? To address this question I have studied and employed different approaches to perform UCSD remotely. As a case study, I have used these approaches to design a new international website for Uppsala Kommun (Municipality). The results show that it is possible to perform the UCSD remotely. However, special consideration should be taken for finding representative users. Remote UCSD is not a substitute for UCSD. It can be considered as a methodology for situations where users are geographically spread out. It can also be used as a complementary approach to UCSD.

A database, AmyProt, was developed that collated details of 32 human amyloid proteins associated with disease and 488 associated mutations and polymorphisms, of which 316 are classified as amyloid. A detailed profile of the mutations was developed in terms of location within domains and secondary structures of the proteins and functional effects of the mutations. The data was used to test the hypothesis that mutations enhance amyloidosis in human amyloid proteins have distinctive characteristics, in terms of specific location within proteins and physico-chemical characteristics, which differentiate them from non-amyloid forming polymorphisms in amyloid proteins and from disease mutations and polymorphisms in non-amyloid disease linked proteins. The aim was to use these characteristics to train a prediction algorithm for amyloid mutations that will provide a more accurate prediction than current general disease prediction tools and amyloid prediction tools that focus on aggregating regions. 66 location specific features and changes upon mutation of 366 amino acids propensities, derived from the amino acid index database AAindex, were analysed. A significant proportion of mutations were located with aggregating regions, however the majority of mutations were not associated with these regions. An analysis of motifs showed that amyloid mutations had a significant association with transmembrane helix motifs such as GxxxG. Statistical analysis of substitutions mutations, using substitution matrices, showed that amyloid mutations have a decrease in α-helix propensity and overall secondary structure propensity compared to the disease mutations and disease and amyloid polymorphisms. Machine learning was used to reduce the large set of features to a set of 18 features. These included location near transmembrane helices, secondary structure features; transmembrane and extracellular domains and 4 amino acid propensities: knowledge-based membrane propensity scale from 3D helix; α-helix propensity; partition coefficient; normalized frequency of coil. The AmyProt mutations and non-amyloid polymorphisms were used to train and test the novel amyloid mutation prediction tool, AmyPred, the first tool developed purely to predict amyloid mutations. AmyPred predicts the amyloidogenicity of mutations as a consensus by majority vote (CMV) and mean probability (CMP) of 5 classifiers. Validation of AmyPred with 27 amyloid mutations and 20 non-amyloid mutations from APP, Tau and TTR proteins, gave classification accuracies of 0.7/0.71 (CMV/CMP) and with an MCC of 0.4 (CMV) and 0.41 (CMP). AmyPred out performed other tools such as SIFT (0.37) and PolyPhen (0.36) and the amyloid consensus prediction tool, MetAmyl (0.13). Finally, AmyPred was used to analyse p53 mutations to characterize amyloid and non-amyloid mutations within this protein.

Ingeniero Civil Industrial / El objetivo general del presente trabajo es la implementación de metodologías para estudiar la incidencia de la dilatación pupilar como variable predictiva de la toma de decisión de usuarios que navegan a través de sitios web. Esta memoria busca encontrar patrones de comportamiento de la pupila en usuarios web al momento de tomar una decisión, utilizando herramientas de Data Mining, Eye-Tracking y Dilatación Pupilar. Este estudio es un apoyo al proyecto FONDEF adjudicado por la Universidad de Chile, titulado Plataforma informática basada en web-intelligence y herramientas de análisis de exploración visual para la mejora de la estructura y contenido de sitios web (AKORI: Advanced Kernel for Ocular Research and web Intelligence), el cual busca paquetizar una metodología de mejoramiento de sitios web. La metodología a utilizar en este trabajo, es el \textit{método científico}, apoyado por el análisis \textit{ Knowledge Discovery in Databases (KDD)} de minería de datos. La hipótesis a validar es: Los cambios del diámetro de la pupila en el tiempo son una variable predictiva dependiente relevante en las tomas de decisión próximas . Se realiza un experimento en el cual se presentan distintos objetos de valencia neutros de la base de datos IAPS, organizados ene 90 categorías distintas, y el sujeto de prueba de elegir uno de los objetos haciendo click con el mouse. No hay un criterio de de decisión impuesto en la instrucción. La instrucción es:"Se le presentará un set de 9 imágenes en una grilla de 3x3. Haciendo click con el mouse, elija una de las imágenes...". Para validar la hipótesis planteada, se realiza un experimento en que usuarios web navegan por un sitio, dada una instrucción y a través de herramientas de eye-tracking y dilatación pupilar, se obtienen medidas periódicamente del diámetro de la pupila, y la coordenada en la pantalla el cual el sujeto está mirando. Se utilizan distintos métodos de minería de datos para validar la hipótesis, buscando la relación entre la data y la toma de decisión. Se define una toma de decisión como el momento en que el sujeto de prueba hace un click en la pantalla. El experimento revela resultados favorables, validando la hipótesis con una confianza del 95\%. Se genera un clasificador utilizando herramientas de minería de datos. Se utilizan los métodos de clasificación binaria: Support Vector Machine; Accuracy de 72\%, Regresión Logística; Accuracy de 75\%, y Redes Neuronales; Accuracy de 82\%. %Conclusión más importante Se concluye que la dilatación pupilar muestra patrones de comportamiento marcados en relación con las tomas de decisiones.

Ingeniero Civil Industrial / El presente trabajo de título tiene por objetivo caracterizar las relaciones cuantitativas y cualitativas entre dilatación pupilar y emocionalidad del sujeto mediante técnicas de minería de datos como apoyo a la metodología de identificación de Website Keyobjects. Además se introduce el análisis de neurodatos como una posible medida de la emoción de los sujetos de estudio. Los objetivos específicos plantean investigar el estado del arte de las distintas variables de estudio, diseñar e implementar experimentos orientados a descubrir la posible relación, aplicar proceso de descubrimiento de conocimiento y finalmente concluir con respecto a la hipótesis de investigación. El trabajo de título está inmerso en el proyecto FONDEF titulado Plataforma informática basada en web-intelligence y herramientas de análisis de exploración visual para la mejora de la estructura y contenido de sitios web (AKORI: Advanced Kernel for Ocular Research and web Intelligence), proyecto compartido entre el Laboratorio de Neurosistemas y el Departamento de Ingeniería Industrial de la Universidad de Chile. La justificación del trabajo se basa en la creciente necesidad de entender la experiencia del usuario dentro de los sitios web con el fin de utilizar las mejores prácticas en la construcción de los mismos. Hasta el momento, la metodología del profesor Juan Velásquez permite localizar los Website Keyobjects, elementos principales de un sitio web, mediante el uso de técnicas de eye-tracking y minería de datos. Sin embargo, cuando un usuario fija su mirada en algún elemento, no se puede establecer una relación de gusto o disgusto frente al estímulo, por lo que se hace útil caracterizar estas relaciones subyacentes. Para la obtención de datos se realizaron 10 registros del experimento diseñado. El experimento consistió en que los sujetos eran expuestos a 180 imágenes con distinto contenido emocional, mientras eran registradas su actividad bioeléctrica cerebral (EEG), dilatación pupilar y la calificaciones que los usuarios otorgaban a las imágenes. En el análisis de los datos obtenidos fue llevado a cabo mediante el proceso KDD. Para la actividad bioeléctrica cerebral se obtuvieron resultados negativos, ya que no se logró establecer este parámetro como medida de emocionalidad. Tampoco fue posible obtener un alto porcentaje de precisión en la clasificación de emocionalidad en base a los neurodatos. Para la dilatación pupilar, si bien se registró un comportamiento similar al de estudios anteriores, no se logró establecer un clasificador de emociones según el comportamiento de la dilatación pupilar que superará el 50\% de precisión, independiente del algoritmo utilizado. Si bien no se logró demostrar la hipótesis de investigación, se vislumbran ciertos lineamientos para futuras investigaciones. Se considera el análisis de EEG como una fuente de información potente para el estudio del comportamiento del usuario en la web. Por lo mismo, se propone realizar una integración de análisis de neurodatos a la metodología de identificación de Website Keyobjects.

This study gives guidelines to enhance online service delivery by the South African Police Service (SAPS by means of its website. It makes various recommendations to achieve this, following various investigations. The SAPS describes its primary goal as “service to the public”. This is in line with the South African government’s Batho Pele (“People first”) initiative to improve the delivery of public services. However, as society is changing in response to the demands of the Internet Age, service providers (for the purpose of this study, police agencies) must, too, adjust. The application of e-Governance will enable these agencies to serve the public with a wide variety of information and services. This study makes recommendations in this regard as well. In the initial study for this work user needs regarding the establishment of the SAPS website were assessed. Subsequently a study was conducted to determine best practices in various English-speaking countries, using an evaluation framework compiled for this purpose. Based on the results gained a measuring instrument was designed to evaluate the SAPS website. Four expert evaluators were then requested to do so. This resulted in an assessment of possible shortcomings of the SAPS website and recommendations for enhancing online service delivery and e-Governance. / Dissertation (MSc)--University of Pretoria, 2005. / Information Science / unrestricted

The aim of the thesis is to analyze reporting of websites under IFRS. The text focuses on the reporting requirements according to fact how a website was acquired and what its purpose. Three variants are discussed: self-creation of a website, sale and purchase of a website and also leasing a website. The practical part examines the reporting of intangible assets (especially software) in financial statements of four selected companies. It also provides a brief comparison of reporting of intangible assets under Czech accounting rules and under IFRS.

No description available.

The master thesis fouses on the practical use of project management methods and project proposal with the aim to propose a new content strategy for the content website of the company. The first part deals with the theoretical background of the project management, in the second part the current state of the company is analyzed. In the last part of the thesis the project proposal itself is processed.

This master’s thesis deals with the upgrade of the iMatematika.cz website into more complex educational website with selected math basics for students with economical specialization or for economists themselves. From the selected math basics the educational materials are made, on which educational videos and sets of test questions are created. The output of this master’s thesis is a new website which reflects this accomplished analysis.