Websites are today one of the most common ways for humans to interact with each other. Evolving from just static pages for companies to highly dynamic social medias, websites are built upon complex techniques and architectures to meet end-user demands. One of the latest techniques are single page applicationswhich makes use of the web browsers capabililities to execute application code. One drawback is that search engines cannot visit the site, nor can script-disabled web browsers. For a single page application to function on all devices a new concept called isomorphism needs to be considered. The aim of this thesis have been to analyze, design and implement an isomorphic web application using modern technologies. The practical work have been applied using an agile project method, while theoretical works are based on previous knowledge and an internet based research. The implementation went through several iterations of trial and error but was finally completed with Facebook's React framework together with a modified version of the Flux architecture. The resulting application was implemented in both Ember and the proposed isomorphic solution. Benchmarks of both implementations were carried out and compared with each other to see how the thesis' isomorphic solution performed. The results shows an performance increase in the isomorphic solution. In conclusion the full application was not implemented due to time limits, but the most performance critical parts were. While only one framework was compared, it would be of interest to compare with more frameworks to give a better performance overview.

Philosophiae Doctor - PhD / This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism. / South Africa

近年智慧型手機與網路的普及，使得社群網站與線上串流音樂蓬勃發展。臉書（Facebook）用戶截至去年止每月總體平均用戶高達18.6億人 ，粉絲專頁成為公司企業特別關注的行銷手段。粉絲專頁上的貼文能夠在短時間內經過點閱、分享傳播至用戶的頁面，達到比起電視廣告更佳的效果，也節省了許多的成本。本研究提供了一套針對臉書粉絲專頁貼文的分群流程，考量到貼文字詞的複雜性，除了抓取了臉書粉絲專頁的貼文外，也抓取了與其相關的KKBOX網頁資訊，整合KKBOX網頁中的資料，對中文斷詞系統（Jieba）的語料庫進行擴充，以提高斷詞的正確性，接著透過雙分群演算法（Minimum Squared Residue Co-Clustering Algorithm）對貼文進行分群，並利用鑑別率（Discrimination Rate）與凝聚率（Agglomerate Rate）配合主成份分析（Principal Component Analysis）所產生的分佈圖來對分群結果進行評估，選出較佳的分群結果進一步去分析，進而找出分類的根據。在結果中，發現本研究的方法能夠有效的區分出不同類型的貼文，甚至能夠依據使用字詞、語法或編排格式的不同來進行分群。 / In recent years, because both smartphones and the Internet have become more popular, social network sites and music streaming services have grown vigorously. The monthly average of Facebook users hit 1.86 billion last years and Facebook Fan Page has become a popular marketing tool. Posts on Facebook can be broadcasted to millions of people in a short period of time by LIKEing and SHAREing pages. Using Facebook Fan Page as a marketing tool is more effective than advertising on television and can definitely reduce the costs. This study presents a process to cluster posts on Facebook Fan Page. Considering the complicated word usage, we grasped information on Facebook Fan Page and related information on the KKBOX website. First, we integrated the information on the website of KKBOX and expanded the text corpus of Jibea to enhance the accuracy of word segmentation. Then, we clustered the posts into several groups through Minimum Squared Residue Co-Clustering Algorithm and used discrimination Rate and Agglomerate Rate to analyze the distribution chart of Principal Component Analysis. After that, we found the suitable classification and could further analyze it. How posts are classified can then be found. As a result, we found that the method of this study can effectively cluster different kinds of posts and even cluster these posts according to its words, syntax and arrangement.

Vista University is known in South Africa as a historically disadvantaged or black university. It is a multi-campus university (it has eight campuses throughout South Africa) and caters for learners from historically disadvantaged backgrounds. The Department of Mathematics and Statistics holds an annual meeting to coordinate the activities in the department across all eight campuses. Attendance is compulsory for all lecturers from all the campuses. Every year the same problem arises, which is to have examination papers drawn up that will be of a uniform standard across all the campuses. It is a very frustrating task for the compiler of the papers to get contributions from the lecturers that are submitted on time, in the agreed format and of an acceptable standard. During the 2000 meeting it was unanimously agreed that the long-term solution to the problem would be a database of questions in the agreed format and of an acceptable standard. Because the lecturers are spread over South Africa, this database must be available through Vista’s Intranet. The development of such a product would involve a great deal of time and energy, and the most important question to ask is whether the lecturers would use the product. The solution is to design a prototype of the product: a database with a Web-based portal populated with a sample of questions. The usability of such a database must be determined to ensure the effectiveness of the final product. The aim of this study is, after a prototype of a Web-based Statistical Data and Story Library in the South African Context (in future referred to as SSS) has been implemented, to determine the usability of the product. Copyright 2001, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. Please cite as follows: Basson, EM 2001, The usability of a computer-based Statistics Data and Story Library in the South African context, MEd dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-02042002-094953 / > / Thesis (MEd)--University of Pretoria, 2001. / Curriculum Studies / MEd / Unrestricted

This report deals with segmentation of web pages, which is important discipline of information extraction. In the first part, we describe several general ways to implement it. After that we introduce method Box Clustering Segmentation, which comes with a slightly different approach towards segmentation. In the second half, we describe implementation of this method as a part of framework FITLayout and final testing.

The tool allows distribution of credit for the conversion to various marketing activities. So-called attribution modelling is concerned. The distribution of conversion is described by the models, except those most famous (first interaction model, last interaction model, linear model), that allow to create any distribution of conversion to several marketing activities. The use of this tool may be useful in the surveys of the effectiveness of marketing activities.

This work deals with the topics of semantic web, web page segmentation and technologies, which are used in this area. It also deals with a modification of one web page segmentation method, specifically DOM-based segmentation, using semantic web technologies. Thus, this work designs the way of web page segmentation based on semantic analysis of individual elements of the web pages content. An application that demonstrates the functionality of the designed segmentation method was also created within this work. With the implemented application, experiments were performed, whose results are also part of this work.

Under de senaste decennierna har webben utvecklats allt mer, och är idag en stor del av människors vardag. Det finns idag över 1,8 miljarder webbplatser i bruk, och över 97% av dessaanvänder sig av JavaScript som programmeringsspråk för klientsidan. Människans koncentrationsförmåga har också minskat genom åren, och det ställs idag allt högre krav på snabba responstider på webben. Användarupplevelsen är också väldigt viktig för att en webbplats ska lyckas med sitt ändamål. Vi har i vår studie valt att undersöka och jämföra prestandan i JavaScript-ramverken Svelte och Vue, där vi ville studera eventuella prestandaskillnader med särskild fokus på responstider. Vi ville även undersöka om eventuella prestandaskillnader kunde upplevas av användarna vid olika typer av manipulationer av DOMen, såsom exempelvis tillägg och borttagning av HTML-elementet &lt;div&gt; i både större och mindre skala, och således påverka användarupplevelsen. Vi utvecklade två stycken single-page-applikationer som använder sig utav JavaScript, där den ena använder sig av Vue och den andra utav Svelte som frontend-ramverk, för att sedan utföra prestandatester på bägge webbplatserna. Därefter lät vi en grupp användare testa webbplatserna för att sedan svara på en enkät, där enkätfrågorna fokuserade på hur de upplevde prestandan ochom de kunde märka någon skillnad mellan applikationerna. Datainsamlingen för att kunna besvara de andra parametrarna för ramverken som denna studieämnade att undersöka, som går under användbarhet, skedde genom att skicka ut en enkät där vi lät både professionella frontend-utvecklare samt utvecklare på hobbynivå med erfarenhet av både Svelte och Vue besvara ett antal frågor om användbarhet. Slutsatsen av studien mynnar ut i att prestandaskillnader mellan ramverken i våra single-page-applikationer existerar, och kan i vissa fall också märkas av användarna. Om utvecklarna själva får bestämma vilket ramverk de föredrar väljer de professionella utvecklarna att arbeta med Vue och hobbyutvecklarna Svelte. För den officiella dokumentationen tenderade båda respondentgrupperna att föredra Vue över Svelte.

The main intention of the Master’s thesis is analysis of the feasibility and software solution of specific insertion portal. The analysis of the feasibility researches, particularly competition forces, potential users, financial analysis and prognosis of future growth and development. The realization part contains software solution and its implementation. All outputs of the Master’s thesis are used as basis for growing project Flatsharing.

This thesis deals with technologies related to web pages and describes the navigation across them including the authentication to access their private sections and the user context management. It introduces the design of the mechanism for the automated navigation including new scripting language and tools for the visual description. The work also contains the design of the application using the mechanism and the implementation of its parts. The last chapter sums up the knowledge acquired by testing on various websites.